Stephen K. Agadagba
Lee Wei Lim
Leanne Lai Hang Chan- 1Centre for Eye and Vision Research Ltd., Hong Kong, Hong Kong SAR, China
- 2Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- 3Department of Electrical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China
The mammalian brain is reported to contain about 106–109 neurons linked together to form complex networks. Physiologically, the neuronal networks interact in a rhythmic oscillatory pattern to coordinate the brain’s functions. Neuromodulation covers a broad range of techniques that can alter neuronal network activity through the targeted delivery of electrical or chemical stimuli. Neuromodulation can be used to potentially treat medical conditions and can serve as a research tool for studying neural functions. Typically, the main method of neuromodulation is to electrically stimulate specific structures in both the central and peripheral nervous systems via surgically implanted electrodes. Therefore, it is imperative to explore novel and safer methods for altering neuronal network activity. Transcorneal electrical stimulation (TES) has rapidly emerged as a non-invasive neuromodulatory technique that can exert beneficial effects on the brain through the eyes. There is substantial evidence to show that TES can change the brain oscillations in rodents. Moreover, the molecular data clearly shows that TES can also activate non-visual brain regions. In this review, we first summarize the use of TES in the retina and then discuss its effects in the brain through the eye-brain connection. We then comprehensively review the substantial evidence from electrophysiological, behavioral, and molecular studies on the role of TES on modulating neurons in the brain. Lastly, we discuss the implications and possible future directions of the research on TES as a non-invasive tool for neuromodulation of the brain via directly stimulating the mammalian eye.
1 Introduction
The brain is one of the most complex and important organ in the body responsible for maintaining homeostasis and coordinating bodily functions. The mammalian brain is composed of about 106–109 neurons in a complex hierarchical network (Herculano-Houzel, 2009; Herculano-Houzel et al., 2011). These neurons communicate with each other in many ways, one of which is through neural oscillations. Neural oscillations are repetitive or rhythmic patterns of neuronal activity generated throughout the central nervous system (CNS). These neural oscillations operate at varying frequencies and can be classified into six frequency bands: slow oscillations (0.1–4 Hz), delta (1–4 Hz), theta (4–7 Hz), alpha (7– 13 Hz), beta (14–30 Hz), and gamma (>30 Hz). The synchronized oscillations originate either from the activity of single neurons or from the interactions in the neuronal network. At the single neuron level, neural oscillations reflect the fluctuations in the resting potential or the rhythmic action potentials, which then trigger neural oscillations in post-synaptic neurons. On the other hand, at the neuronal network level, the synchronized activity of neural ensembles evokes neural oscillations at various frequency bands at the macroscopic scale, which can be measured by techniques such as electroencephalography (EEG), electrocorticography (ECoG), and magnetoencephalography (MEG). Neural oscillations in the brain have been widely studied in various areas of scientific research, particularly in cellular and cognitive neuroscience. Growing evidence suggests that neural oscillations are pivotal for neural communication. The synchronous activity of neurons generates rhythms that enable different brain regions to communicate and coordinate responses to both intrinsic and extrinsic stimuli. For instance, two groups of neurons in phase lock or phase synchrony can influence each other because they are simultaneously in an excited state and have strong communication with each other. However, neurons that are desynchronized have weak communication and do not effectively orchestrate responses to stimuli. Indeed, disruption of brain rhythms and neuronal synchrony have been implicated in the pathophysiology of various neurodegenerative disorders and neurological diseases including Parkinson’s disease (PD), Alzheimer’s disease (AD), and epilepsy (Buzsáki, 2015). In patients with PD, the progressive death of dopaminergic neurons in the substantia nigra causes circuitopathy, which leads to hypersynchronization of beta oscillations in the substantia nigra and other brain structures such as the globus pallidus interna, globus pallidus externa, and subthalamic nucleus (Chan et al., 2021). Similarly, network abnormalities including hypersynchrony and altered oscillatory activity in AD (Buzsáki, 2006; Palop and Mucke, 2016) and increased neuronal hyperexcitability in epilepsy (Adaikkan et al., 2019) have also been reported. Exploring these dysfunctional brain networks raises the possibility of using neuromodulation to normalize the oscillatory relationships and restore healthy neuronal communication.
Neuromodulation is a neurostimulation technique that alters neuronal network activity by the targeted delivery of stimuli in specific regions of the body. The underlying aim of neuromodulation is to modify abnormal circuitry to restore the normal physiological state (Herrington et al., 2016). Neuromodulation has been used in a wide range of applications including altering the activity of dysfunctional neuronal networks, as a potential medical therapy, and as a research tool for studying neural functions. Most neuromodulatory stimulation methods are electricity-based, although alternative stimulation methods also include the use of magnetic fields, optogenetics, and focused ultrasound. Generally speaking, neuromodulatory stimulation can be divided into either invasive and non-invasive methods. The major difference between invasive and non-invasive neuromodulation is that the former involves the introduction of a stimulation tool or electrode into the body cavity, whereas the latter is performed outside the body. Some examples of invasive neuromodulation include deep brain stimulation (DBS), spinal cord stimulation, and stimulation methods that target specific nerves such as the vagus or sacral nerves. These invasive approaches have been reported to have several beneficial effects. For example, clinical results from four randomized control trials conducted to determine the effects of DBS in Parkinson’s disease showed that it significantly reduced the need for oral levodopa treatment while limiting dyskinesias by improving levodopa “On” time and reducing the “Off” time (Deuschl et al., 2006; Smeding et al., 2006; Weaver et al., 2009; Williams et al., 2010). The use of invasive neuromodulation as potential treatment options for chronic pain, urinary incontinence, epilepsy, and depression have also been reported. On the other hand, early non-invasive neuromodulatory approaches were unspecific. For example, electroconvulsive therapy developed in the 1930 s for treating patients with schizophrenia delivered the electrical stimulation to large areas of the brain. Subsequently, non-invasive neuromodulatory approaches have become more refined and novel approaches have been developed that can stimulate spatially distant regions of the brain. Some examples include transcranial direct current stimulation (tDCS), transcranial alternative current stimulation (tACS), and transcranial magnetic stimulation (TMS). The US Food and Drug Administration (FDA) has approved the clinical use of TMS in humans for alleviating symptoms in several mental health conditions, whereas the use of tDCS and tACS are still under investigation and awaiting approval.
There are inherent differences in the neurosurgical and stimulation risks between invasive and non-invasive neuromodulation. Depending on the specific invasive neuromodulatory technique, post-surgical complications and invasive stimulation-related adverse effects can occur, including neurological sequelae such as infection, intracranial hemorrhage, post-procedural seizures, and cognitive impairment, particularly decline in verbal fluency (John et al., 2021; Xu et al., 2021), and psychiatric side effects such as apathy, frontal disinhibition, and suicide in rare cases (Smeding et al., 2006). Although non-invasive neuromodulation does not require surgery and the stimulation is relatively painless with minimal side effects, there have been reported cases of minor adverse effects from non-invasive methods such as TMS and tDCS. These minor adverse effects, including headaches, scalp discomfort, fatigue, redness at the stimulated site, tingling, and itching sensations, were reported to be naturally resolved without the need for any medical intervention (Krishnan et al., 2015; Matsumoto and Ugawa, 2017). Nevertheless, exploring safe novel methods for altering neuronal network activity in the brain is imperative for treating diseases and improving overall brain health. Ideally, such non-invasive methods should have minimal side effects, while achieving its therapeutic goal or serving as a tool for investigative purposes. Transcorneal electrical stimulation (TES) is rapidly emerging as a safe non-invasive neuromodulatory technique that can exert beneficial effects in the brain via stimulating the eyes.
In this review, we discuss the advances in neuromodulation by TES in relation to the eye-brain connection. We summarize the conventional application of TES in the retina as a treatment for ocular disorders. We then give an in-depth explanation of the eye-brain connection and the possible mechanism of the neuromodulatory effects of TES in the brain. Lastly, we present the implications and possible future directions of TES as a tool for non-invasive brain neuromodulation. In the subsequent sections of this review, we use the term neuromodulation in the context of the alteration of neuronal network activity by TES, unless otherwise stated.
2 Conventional applications of TES of the retina
Transcorneal electrical stimulation is a non-invasive method of activating the retina and retinofugal pathways. In practice, an active electrode is placed on the corneal surface of the eye and an inactive reference electrode is carefully positioned underneath the skin in close proximity to the eye. The active electrode is connected to an electrical pulse generator that controls the delivery of electric current to the eye (Figure 1). The stimulation parameters such as current amplitude, stimulation frequency, pulse duration, and repetition periods can be adjusted and varied based on each subject and pathological condition. Several studies have shown that TES has immense neuroprotective benefits in retinal trauma and degeneration and in healthy subjects, as demonstrated in the animal studies in Table 1 (Morimoto et al., 2005, 2010; Ni et al., 2009; Tagami et al., 2009; Wang et al., 2011; Henrich-Noack et al., 2013b; Fu et al., 2018; Jassim et al., 2021) and the clinical studies in Table 2 (Inomata et al., 2007; Kurimoto et al., 2010; Oono et al., 2011; Schatz et al., 2011, 2017; Naycheva et al., 2013). These studies have provided crucial evidence for the therapeutic effectiveness of TES in the retina and have also examined the potential underlying mechanisms. Below is a summary of the conventional neuroprotective roles of TES in the retina.
Figure 1. Schematic representation of transcorneal electrical stimulation (TES). In both human and animal subjects, the stimulating electrode (blue circle) is positioned on the cornea and the other end is connected to an electrical pulse generator (EPG). Electric current pulses activate the retina and its downstream structures. Created with BioRender.com (accessed December 13, 2022).
Table 1. Summary of preclinical studies on the effects of TES of the retina.
Table 2. Summary of clinical studies on TES effects in the retina.
2.1 TES delays photoreceptor and retinal ganglion cell loss
Retinitis pigmentosa (RP) is a genetic disorder characterized by the progressive degeneration of photoreceptors. There is currently no satisfactory cure for RP. It was reported that TES was able to delay photoreceptor loss and exerted a neuroprotective effect via modulating the electrical charge balance of the photoreceptors in the outer retina (Morimoto et al., 2007, 2012; Rahmani et al., 2013). Specifically, TES was shown to facilitate the survival of photoreceptors and preserved retinal function in the RCS (Royal College of Surgeons) rat model of RP (Morimoto et al., 2007). Furthermore, examination of the fundus at the end of the treatment showed there was no vitreous hemorrhaging or retinal detachment, indicating that TES had no side effects in the vitreous and retinal neurons of the RCS animal model. Another study also reported that TES had neuroprotective effects on the outer retinal neurons in a transgenic RP rabbit model (rhodopsin P347L; Morimoto et al., 2012). Interestingly, the results from the electroretinogram (ERG) experiments showed that TES preserved more cone cells than rod cells in the treated rabbits. Besides the therapeutic effects of TES on photoreceptors in the outer retina, several studies also reported TES had preservation effects in the inner retina. In another study in rats with optic nerve injury, TES at optimal parameters (current amplitude: 100–200 μA; stimulation frequency: 1, 5, or 20 Hz; pulse duration: 1–2 ms/phase and stimulation duration: above 30 min) was able to protect retinal ganglion cells (RGCs) and their axons (Tagami et al., 2009; Morimoto et al., 2010). The neuroprotective effects of TES on RGCs have also been demonstrated in rodent models of glaucoma (Jassim et al., 2021), ischemic retinal disease (Wang et al., 2011), optic nerve crush (Miyake et al., 2007; Henrich-Noack et al., 2013a, b), and light-induced retinal injury.
2.2. TES inhibits apoptosis and promotes neuronal regeneration
Studies on TES in healthy retina have also been performed to decipher the underlying mechanism of the therapeutic effects of TES on retinal degeneration. One study analyzed changes in the transcriptome of healthy rat retinas at 4 h after the application of TES (current amplitude: 200 μA, stimulation frequency: 20 Hz, pulse width: 1 ms/phase, duration: 60 min), which identified a total of 404 downregulated genes and 286 upregulated genes related to cell growth, cell signaling, tissue development, and proliferation (Willmann et al., 2011). Another study observed significant downregulation of pro-apoptotic protein factors such as B-cell lymphoma protein 2-associated X (Bax) and tumor necrosis factor (Kulsoom et al., 2018). These results suggest that TES inhibits cellular apoptosis. Furthermore, TES was reported to activate neuronal regeneration in the retina via promoting the secretion of neurotrophic factors, which are a class of protein molecules that facilitate neuronal growth, development, survival, and regeneration (Hempstead, 2006; Reichardt, 2006). In animal models of retinal photoreceptor degeneration (e.g., N-methyl-N-nitrosourea-treated mice and bright blue light-exposed rats), TES was shown to trigger the upregulation of brain-derived neurotrophic factor and ciliary neurotrophic factor (Ni et al., 2009; Tao et al., 2016).
2.3. TES promotes functional improvements in human retina
The beneficial effects of TES in the retina have also been observed in human studies. In a prospective randomized clinical trial involving 24 RP subjects, the weekly application of TES for six consecutive sessions resulted in positive effects on the visual field area and scotopic ERG compared to sham matched controls (Schatz et al., 2011). A follow-up study of 52 weeks of consecutive TES treatment in 52 RP patients also reported significant improvement in the photopic ERG responses of cone cells. A similar clinical study involving the application of TES in patients with retinal artery occlusion showed photoreceptor function was improved, as demonstrated by an increase in scotopic a-wave slope (Naycheva et al., 2013). Several other clinical studies also reported TES improved visual acuity, multifocal ERG, and visual field area in patients with retinal artery occlusion (Inomata et al., 2007; Oono et al., 2011), non-arteritic ischemic optic neuropathy, and traumatic optic neuropathy (Fujikado et al., 2006). In all the aforementioned clinical studies, TES was found to be well tolerated with no adverse side effects, supporting its safety as a potential therapeutic modality.
Recent advancements have extended the application of TES from restoring vision in the retina to activating brain neuronal networks. The modulation of the brain by TES is possible because of the unique eye-brain connection, as discussed below.
3 The eye-brain connection
Over the years, scientists have been looking for scientific evidence on the usefulness of eye research in studying the brain and its diseases. Many studies have begun exploring this eye-brain connection in terms of clinical diagnosis and therapeutic interventions for brain diseases. The concept that “our eyes are the windows to our souls” is intriguing in that our eyes provide an insight into our brain health both neurologically and optically. It is well known that the retina and the optic nerve are part of the CNS, as both structures extend from the diencephalon during embryonic development. The retina is a transparent tissue composed of specialized neurons such as RGCs arranged in layers interconnected by synapses (Figure 2A). Axons of RGCs form the optic nerve and extend to both the lateral geniculate nucleus (LGN) of the thalamus and the superior colliculus (SC) of the midbrain (Figure 2B; Dhande and Huberman, 2014). Visible light entering the eye is captured by light-sensitive photoreceptor cells in the outer retina. This process triggers a signal cascade that transduces visual information into electrical signals that move along the inner retina to the RGCs. These electrical signals are then relayed to higher visual centers responsible for proper interpretation and visual perception. It is crucial to state that although majority of the RGCs form outputs that project to the LGN and SC, there is a subgroup of specialized RGCs that also project into the suprachiasmatic nucleus of the hypothalamus. It has been noted that this region plays a key role in the sleep/wake cycle and circadian rhythms (Fernandez et al., 2016). Furthermore, other RGCs project their axons to the pretectum of the midbrain, which communicates with the motor nuclei to exert pupillary control (Levine and Schwartz, 2020).
Figure 2. Depiction of the eye-brain connection. (A) The retina contains several layers of neurons including retinal ganglion cells (RGCs), which are morphologically similar to neurons in the brain. (B) RGCs have myelinated axons that are organized to form the optic nerve. The optic nerve extends to the lateral geniculate nucleus (LGN) and superior colliculus (SC) in the brain. (C) Similar to the brain, the eye is uniquely associated with the immune system and is composed of immunoregulatory molecules. (D) The inner blood-retinal barrier, which is analogous to the blood-brain barrier, further shows the relationship between the eye and the immune system. Created with BioRender.com (accessed December 13, 2022).
Despite differences in the morphology of RGCs and CNS neurons, RGCs retain the typical properties of brain neurons including characteristic neuronal cell body, dendrites, and axons (Berson, 2008). The optic nerve formed by the axons of RGCs also retains fiber tracts similar to that of brain neurons. Specifically, the optic nerve is covered with a myelin sheath and enclosed in three protective meninges (Figure 2B). Similar to brain axons, trauma of the optic nerve leads to retrograde and anterograde degeneration of the injured axons. Consequently, this triggers other destructive processes including oxidative stress, myelin destruction, scar formation, inhibition of neurotrophic factors, accumulation of protein aggregates, and secondary degeneration such as the death of neighboring neurons (Levkovitch-Verbin et al., 2001, 2003; Herro and Lam, 2015; Yu-Wai-Man, 2015). It has been reported that the regeneration of damaged axons is restricted in both the brain and the optic nerve. It has also been demonstrated that the neurons in the brain and the optic nerve share similar factors that result in an internal environment that limits axonal growth following injury. Some of these factors include myelin-associated inhibitors (Nogo A), myelin debris, reactive astrocytes, and chondroitin sulphate proteoglycans (Maxwell, 2013; Pernet, 2017; Guttenplan et al., 2020; Pearson et al., 2020; Yu et al., 2021a; Fawcett and Kwok, 2022; Hammel et al., 2022). Interestingly, a significant amount of information about the axonal response to brain injury was initially discovered in studies on the optic nerve (Benowitz and Yin, 2008; Fischer, 2012; Fischer and Leibinger, 2012; Heskamp et al., 2013; Benowitz et al., 2017; Fischer et al., 2017). More recent studies have reported that signaling in complex circuitry involving the blockage of inhibitory neurotransmission of retinal amacrine cells plays a crucial role in RGC axonal regeneration after optic nerve injury (Yin et al., 2019; Sergeeva et al., 2021).
As an integral part of the CNS, the eye also interacts with the immune system. The eyes contain several immunoregulatory molecules including cytokines and other surface molecules (Figure 2C) that induce specialized immune responses similar to those of neurons in the brain and spinal cord (Streilein, 2003; Kaur et al., 2008). The anterior part of the eye contains a fluid called the aqueous humor, which is enriched in anti-inflammatory and immunoregulatory factors and is similar to the cerebrospinal fluid (CSF) that bathes the brain and spinal cord (Kaur et al., 2008; Aleci et al., 2015). Indeed, the eye is surrounded by two main blood-ocular barriers, the blood-aqueous barrier, and the blood-retinal barrier, which share similar structural characteristics and mechanisms to the blood-brain barrier. The inner regions of the blood-retinal barrier are composed of specialized endothelial cells linked by tight junctions surrounded by pericytes (Figure 2D), astrocytes, and Müller cell end-feet, which closely resembles the blood-brain barrier (Kaur et al., 2008).
As the eyes are a prominent extension of the brain, it is gradually becoming common practice to examine ocular manifestations when diagnosing brain pathologies. The eye-brain connection suggests the investigation of the eye could have clinical value in the early diagnosis of brain pathologies. Interestingly, results from ophthalmological assessments have revealed that several neurodegenerative disorders and neurological diseases such as AD, PD, and multiple sclerosis have manifestations in the retina. Similar to the pathological features in the brain of patients with AD, Aβ and p-tau can be present in the eye and are associated with ocular damage including cataract formation, retinal nerve fiber layer (RNFL) thinning, and retinal neuronal death (Goldstein et al., 2003; Ning et al., 2008; Liu et al., 2009; Gasparini et al., 2011; Chiu et al., 2012). In patients with PD, photoreceptors, and RGCs have been observed to display distinct swelling accompanied with morphological thinning of the RNFL (Moschos et al., 2011; Kirbas et al., 2013; Chang et al., 2022). In up to 50% of patients with multiple sclerosis, loss of vision has been reported as a presenting symptom, although other cases can also involve some degree of visual impairment. It is important to note that the aforementioned eye manifestations may not be specifically related to a particular disease, although their presence is a strong argument for the connection between the retina and the brain. More importantly, the direct connection to the brain via the long continuous tract of the optic nerve makes the eye ideally suited for stimulation by non-invasive approaches to exert neuromodulatory effects in the brain.
4 Neuromodulatory effect of TES on the brain
4.1. Evidence from electrophysiological and behavioral studies
There are many studies on the use of TES in ophthalmology (Morimoto et al., 2005; Ni et al., 2009; Tagami et al., 2009; Wang et al., 2011; Naycheva et al., 2013; Fu et al., 2018; Jassim et al., 2021), but relatively fewer studies have explored its effects on the brain. It is gradually becoming clearer that TES not only affects the retina and its related structures, but can also modulate neurons in the brain. Interestingly, TES has been demonstrated to stimulate not only vision-related brain regions, but also other regions not directly related to visual processing. In a human study, 18F-fluorodeoxyglucose positron emission tomography clearly showed that TES activated vision-related brain regions, including the occipital cortex (primary and secondary visual cortex respectively) and inferior temporal gyrus (Xie et al., 2011). Furthermore, TES also enhanced neuronal network activity in non-visual streams, such as the bilateral prefrontal cortex (PFC) and parahippocampal gyrus. In animals, the neuromodulatory effects of TES have also been investigated in healthy and visually impaired rodents using EEG and ECoG recording techniques. In healthy rats, TES was reported to cause EEG after-effects in the primary visual cortex (V1). Significantly increased theta oscillation power was observed in V1 area that lasted 15 min beyond the TES treatment period (Sergeeva et al., 2012). The effects of prolonged TES have also been reported in retinal degeneration (rd) mice models under varying stimulation parameters. Similar results were observed in the brains of both blind rd mice models and healthy rodents. Separate studies using different parameters including stimulation current, stimulation frequency, pulse duration, and repeat application (30 min/day for 1 week) reported TES significantly increased the power, coherence, brain connectivity, and oscillatory cross-frequency coupling of ECoG electrophysiological recordings of V1 and PFC in the brains of rd10 mice compared to sham matched controls. Specifically, the oscillations modulated by TES were predominantly in the low frequency range of the ECoG bands such as delta (1–5 Hz), theta (5–10 Hz), alpha (10–15 Hz), and beta (15–30 Hz) oscillations (Agadagba et al., 2019, 2020, 2021, 2022; Agadagba and Chan, 2020, 2021). A peculiar observation is that TES appeared to activate the brain region of interest in both healthy and blind rodents, with the resulting neuromodulation maintained beyond the stimulation period. For healthy rodents, the maintenance period was 15 min after the TES, whereas for rd rodents, the effect persisted for a few weeks. Low frequency oscillations (LFOs) have been suggested to facilitate neural processing via modulating neuronal excitability periodicity (Herrmann and Henry, 2014; Hickey and Race, 2021). Furthermore, LFOs have been suggested to be important indicators of neuroplasticity (Assenza and Di Lazzaro, 2015; Cassidy et al., 2020). In regards to the association between LFOs, neuronal processing, and neuroplasticity, the results from the aforementioned studies support that TES has neuroplasticity effects in healthy and diseased animals, respectively. Moreover, improved neuroplasticity was reported to be a common mechanism of action of various brain stimulation methods (Kandel, 2001; Hogan et al., 2020). Therefore, in addition to its ability to alter brain neuronal network activity, TES may also facilitate long-term potentiation. The neuroplasticity potential of TES in rodent animals was confirmed in an optic nerve lesion study in humans, which reported a significant post-TES increase in EEG alpha oscillations in the occipital visual cortex (Sabel et al., 2011). Although the authors did not explicitly provide an actual mechanism for the observed clinical effects of the stimulation, they proposed that the induction of synaptic plasticity and neuronal network synchronization could be responsible for mediating the EEG changes. Furthermore, a study using tetrodotoxin (a sodium ion channel blocker) to block RGC activity, which also consequently blocked V1 electrical evoked potentials, showed that TES could stimulate RGCs to activate the occipital visual cortex via the generation and transmission of action potentials in the retinogeniculate pathway (Foik et al., 2015). The authors suggested that during TES, action potential generation in normal RGCs activated evoked potentials in V1. Moreover, the finding further strengthens the idea that TES can induce the neuromodulation of brain activity via the promotion of excitatory action potentials as well as synchronize neuronal activity. It is possible that repetitive application of TES could repeatedly activate the brain to strengthen synapses and facilitate neuronal information processing/transfer, ultimately leading to functional improvements in visual and non-visual brain regions. Besides the aforementioned pathways, other processes such as changes in the regulation of relevant neurotransmitters may also contribute to the beneficial effects of TES on brain networks. However, such mechanisms remain to be explored.
The functional effects of TES in modulating neurons in the brain have also been investigated in several rodent behavioral studies. These studies reported that TES changed the behavioral patterns of experimental animals, which were positively correlated with the activation of certain brain regions. For example, three pioneering studies on TES demonstrated altered behaviors in corneally kindled rats (Wlaź et al., 2015; Koshal and Kumar, 2016; Albertini et al., 2018). Kindling is the progressive increase in electrographic and behavioral seizure activity induced by the initial application of a sub-convulsive electrical current to limbic brain regions such as the hippocampus and amygdala. In the aforementioned studies, corneal kindling was performed by repeated sub-convulsive doses of TES until a generalized seizure was attained, which induced epilepsy-like behaviors in rodent animals. In the forced swim immobility behavioral test, fully kindled rats exhibited a significant reduction in despair-related behavior following TES (Wlaź et al., 2015). However, in the elevated plus maze test, there was a marked increase in anxiety-like behavior following TES. Interestingly, the anxiety-like behavior was not observed in rats with 6 Hz stimulation, rather an anhedonic response was recorded in the novelty suppressed feeding and saccharin preference behavioral tests (Albertini et al., 2018). Nevertheless, these studies show that TES can modulate the brain network as demonstrated by the altered behaviors of rodents. Conversely, it should be noted that a downside of corneal kindling is that the application of high-intensity electrical stimulation (up to 19 mA amplitude) can result in high mortality rates in the experimental animals (Yu et al., 2021b). Thus, the kindling protocol cannot be readily translated to human clinical trials.
More recently, some behavioral studies in rodent models have extended the exploration of the effects of TES on brain neurons to the therapeutic potential of TES on depression. A study examined the potential antidepressant-like effects of TES (Yu et al., 2022a) administered daily for 1 week in S334ter-line-3 rats and chronic unpredictable stress (CUS) rats. Notably, S334ter-line-3 rats, which are commonly used in the rd animal model, were used for the animal model of depression in this study, considering that vision loss can make blind patients more vulnerable to develop anxiety and depression (Hahm et al., 2008; Zheng et al., 2017; Frank et al., 2019). The S334ter-line-3 rats exhibited heightened levels of anxiety in the behavioral testing. Following TES, the S334ter-line-3 rat group displayed anxiolytic and antidepressant-like behaviors in the forced swim test, cylinder test, open field test, and home cage emergence test. In the CUS rat group, TES significantly decreased behavioral despair and increased hedonic-like behaviors. Treatment with temozolomide (a neurogenesis blocker) only blocked the hedonic-like behavioral effect of TES in the experimental rats, which suggests the antidepressant-like effects of TES were partly mediated by a neurogenesis-dependent pathway.
4.2. Evidence from molecular studies
Several molecular studies have investigated the neuroprotective effect of TES mainly in retinal neurons. Some studies have also begun to explore the neuromodulatory effects of TES on brain neurons at the molecular level. Given that chronic stress-induced disruption of neuroplasticity has been implicated in the development of depression (Pittenger and Duman, 2008), some molecular studies have focused on the neurogenic potential of TES on neurogenesis, synaptic plasticity, and apoptosis in rodent models of depression and anxiety. The hippocampus of rats treated with TES showed upregulated protein biomarkers of progenitor cell proliferation including Ki67 and Nestin (Sun et al., 2014; Yu et al., 2022a), but other biomarkers of neurogenesis such as Doublecortin (Dcx) and NeuN were not significantly changed. A possible reason for the latter result proposed by the authors was that hippocampal progenitor cells in adult rat usually differentiate and mature by 3–5 weeks (Kohler et al., 2011), but the animals in this study were sacrificed at the early stage of proliferation, hence, the cells expressed lower levels of Dcx and NeuN.
In depression, there is significantly altered apoptosis and synaptic plasticity in the limbic system especially in the hippocampus and amygdala (Pittenger and Duman, 2008). Functional connections between the limbic system and the cortical regions of the brain, including the visual cortex, PFC and inferior temporal cortex, suggest the involvement of the hippocampus and amygdala in processing visual-emotional stimuli. Synaptophysin (SYP), a synaptic vesicle protein, has been reported to regulate synaptic plasticity via activity-dependent synapse formation (Tarsa and Goda, 2002). Moreover, postsynaptic density (PSD)-95 has also been implicated in synaptic plasticity of glutamatergic synapses during neurodevelopment (Coley and Gao, 2018). Several studies using the CUS rat model of depression reported abnormal expression levels of presynaptic SYP in the hippocampus and amygdala (Zhang et al., 2014; Kang et al., 2020; Ma et al., 2021; Woodburn et al., 2021), and dysfunctional expression of postsynaptic biomarker PSD95 in the amygdala (Zhang et al., 2018; Yu et al., 2022b). Treatment with TES significantly normalized the dysfunctional expression of SYP and PSD95 in the hippocampus and amygdala of CUS rats (Yu et al., 2022a). Interestingly, these results suggest that TES can modulate synaptic function to induce antidepressant-like responses in the CUS rat model of depression.
As mentioned earlier, TES can decrease the expression of the pro-apoptotic protein Bax in the retina (Ni et al., 2009; Willmann et al., 2011; Kulsoom et al., 2018). Similar anti-apoptotic effects were also reported in the brains of CUS rats after the application of TES (Yu et al., 2022a) or the administration of antidepressants (Ding et al., 2014; Colla et al., 2021). Protein kinase B or AKT are widely expressed in the limbic circuit and play diverse roles in glucose metabolism, cell proliferation, and neuronal apoptosis. Notably, phosphorylation of AKT at its Ser-473 inhibits cellular apoptosis by preventing the release of cytochrome c from mitochondria (Zhou et al., 2000). However, studies involving animal models of stress showed contrasting results for AKT in the hippocampus and amygdala. Some studies reported decreased AKT expression arising from stress and depression (Leibrock et al., 2013; Wu et al., 2021), whereas other studies reported increased AKT expression levels (Lee et al., 2006; Yang et al., 2008; Eagle et al., 2013). In CUS rats, TES was shown to modulate the AKT circuitry by normalizing the expression of phosphorylated AKT in the hippocampus. Protein kinase A (PKA) is a major regulator of several metabolic processes involving cyclic adenosine monophosphate. Given its crucial role in cellular metabolism, PKA has also been implicated in neuronal survival (Dwivedi and Pandey, 2008). Reduced levels of neuronal PKA were observed in both post-mortem analysis of brains from depressed patients (Shelton et al., 2009) and in social defeat stress models of depression (Chen et al., 2012). The anxiety-like behaviors were reported to be alleviated following the administration of PKA activators in the amygdala (Yang et al., 2016). Interestingly, TES was also able to restore the reduced PKA activity in the amygdala of CUS rats (Yu et al., 2022a).
5 Implications of TES as a non-invasive neuromodulatory tool for modulating brain activity
There are numerous unexplored neuronal pathways in the brain which could serve as potential targets for disease treatments and for enhancing brain function. Non-invasive neuromodulation techniques such as TES can alter brain activity and are rapidly becoming popular research tools due to their safety and not requiring surgery. Besides activating retinal neurons, TES can also modulate neuronal excitability in the brain. Preclinical studies have shown that TES can attenuate depression and anxiety-related symptoms in rodent models (Yu et al., 2019, 2021b, 2022a). Moreover, TES is adjustable depending on the disease type and disease progression. Standard anti-depressants affect entire biological systems and can lead to adverse side effects such as memory impairment, decreased concentration, and weight gain. Conversely, TES is generally safe without any serious side effects. Both short-term and prolonged TES in human subjects is generally well tolerated, although some minor and transitory side effects such as dry eyes, foreign body sensation, and corneal punctate keratopathy have been reported (Fujikado et al., 2006; Morimoto et al., 2006; Wagner et al., 2017; Jolly et al., 2020). Cases of adverse effects after TES have been rare and were possibly due to the high amplitude stimulation or mechanical pressure (Ni et al., 2009). Nonetheless, because of the simplicity of TES administration, the stimulator can be promptly turned off and the stimulating electrode removed in the rare case of adverse effects.
Besides its potential for treating depression, TES has also been explored as a potential therapy for cognitive dysfunction. In a recent study in aged mice and 5XFAD mice (AD model) treated with 3 weeks of TES, there were improvements in hippocampal-dependent learning and memory performance in both groups of mice (Yu et al., 2022b). Subsequent hippocampal immunostaining and protein expression analysis in 5XFAD mice showed that male mice had significantly reduced hippocampal plaque deposition and upregulated levels of PSD-95 protein. Although this suggests that the neuromodulatory effects of TES involve a postsynaptic mechanism, it is also interesting to note that elevated levels of PSD-95 are reported to protect synapses from amyloid-beta plaques (Shao et al., 2011; Yuki et al., 2014; Dore et al., 2021). Future studies on TES in other preclinical models of dementia are needed to investigate its beneficial effects on cognitive deficits and to delineate the underlying mechanisms.
Another future application is the use of TES as a non-invasive neuromodulatory tool for activating the brain to enhance vision-related behaviors, specifically visual attention. Previous studies involving the application of non-invasive tDCs in healthy subjects reported the modulation of spatial attention via altering the neuronal network activity ratios between the two brain hemispheres (Ni et al., 2019; Andres et al., 2020). Furthermore, electrophysiological studies reported that tDCs enhanced cognitive control and improved visual attention tasks following entrainment with alpha oscillations (Clayton et al., 2019). Similarly, prolonged TES in rd10 mice resulted in significantly increased ECoG alpha oscillations in V1 (Agadagba et al., 2021, 2022). Increased spontaneous firing rate in V1 neurons is known to be a pathological feature of rd. Alpha oscillations have also been noted to have an inhibitory role that helps the brain to focus on and process more relevant neural signals while ignoring less relevant signals. The above studies on tDCs parallel the rd10 study, which implies TES could be a beneficial tool for vision-related studies, especially studies focused on the functional rehabilitation of patients suffering from visual neglect.
This review highlights the neuromodulatory effects of TES in the brain via the unique eye-brain architecture. It is clear that TES has rapidly advanced from regulating retinal neurons to a cutting-edge research tool for modulating both visual and non-visual brain regions with beneficial outcomes in both healthy and diseased subjects. There is also ample experimental evidence from electrophysiological, behavioral, and molecular studies to support the potential use of TES as a non-invasive neuromodulatory tool for enhancing brain activity. Possible future directions of TES research include the mechanistic study of its neuromodulatory effects and further examining the cognitive and perceptual processes involved. Such mechanistic studies need to be properly designed with specific controls to reduce the generalizability of findings and to optimize the TES stimulation parameters for translation to human clinical trials.
Author contributions
All authors (SA, LL, and LC) contributed to the article and approved the submitted version.
Funding
The work described in this article was partially supported by grants from City University of Hong Kong (Project No. SRG-Fd 7005632 and SRG-Fd 7005854).
Conflict of interest
SA is employed by Centre for Eye and Vision Research Limited (CEVR).
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
Adaikkan, C., Middleton, S. J., Marco, A., Pao, P. C., Mathys, H., Kim, D. N., et al. (2019). Gamma entrainment binds higher-order brain regions and offers neuroprotection. Neuron 102, 929–943.e8. doi: 10.1016/j.neuron.2019.04.011
Agadagba, S. K., and Chan, L. L. H. (2020). Spontaneous feedforward connectivity in electrically stimulated retinal degeneration mice. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2020, 3513–3516. doi: 10.1109/EMBC44109.2020.9175231
Agadagba, S. K., and Chan, L. L. H. (2021). Modulation of narrowband and broadband gamma connectivity in retinal degeneration mice according to electrical stimulation pulse width. HKIE Trans. 27, 148–155. doi: 10.33430/THIE-2020-0006
Agadagba, S., Eldaly, A., and Chan, L. (2021). ECoG power alterations across stages of prolonged transcorneal electrical stimulation in the blind mice. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2021, 5784–5787. doi: 10.1109/EMBC46164.2021.9629894
Agadagba, S. K., Eldaly, A. B. M., and Chan, L. L. H. (2022). Transcorneal electrical stimulation induces long-lasting enhancement of brain functional and directional connectivity in retinal degeneration mice. Front. Cell. Neurosci. 16:785199. doi: 10.3389/fncel.2022.785199
Agadagba, S., Li, X., and Chan, L. (2019). “Electroencephalogram power alterations in retinal degeneration mice after prolonged transcorneal electrical stimulation,” in 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), (San Francisco, CA, USA: IEEE Press), 219–222.
Agadagba, S. K., Li, X., and Chan, L. L. H. (2020). Excitation of the pre-frontal and primary visual cortex in response to transcorneal electrical stimulation in retinal degeneration mice. Front. Neurosci. 14:572299. doi: 10.3389/fnins.2020.572299
Albertini, G., Walrave, L., Demuyser, T., Massie, A., De Bundel, D., and Smolders, I. (2018). 6 Hz corneal kindling in mice triggers neurobehavioral comorbidities accompanied by relevant changes in c-Fos immunoreactivity throughout the brain. Epilepsia 59, 67–78. doi: 10.1111/epi.13943
Aleci, C., Mannone, C., and Rebaudengo, N. (2015). On the relationship between ocular and ventricular fluid dynamics. advancing a joint classification and a pilot study in patients suffering from nonocclusive hydrocephalus. Neuro Ophthalmol. Vis. Neurosci. 1, 27–36. doi: 10.12691/novn-1-1-6
Andres, M., Masson, N., Larigaldie, N., Bonato, M., Vandermeeren, Y., and Dormal, V. (2020). Transcranial electric stimulation optimizes the balance of visual attention across space. Clin. Neurophysiol. 131, 912–920. doi: 10.1016/j.clinph.2019.12.415
Assenza, G., and Di Lazzaro, V. (2015). A useful electroencephalography (EEG) marker of brain plasticity: delta waves. Neural Regen. Res. 10, 1216–1217. doi: 10.4103/1673-5374.162698
Benowitz, L., and Yin, Y. (2008). Rewiring the injured CNS: lessons from the optic nerve. Exp. Neurol. 209, 389–398. doi: 10.1016/j.expneurol.2007.05.025
Benowitz, L. I., He, Z., and Goldberg, J. L. (2017). Reaching the brain: advances in optic nerve regeneration. Exp. Neurol. 287, 365–373. doi: 10.1016/j.expneurol.2015.12.015
Buzsáki, G. (2015). Hippocampal sharp wave-ripple: a cognitive biomarker for episodic memory and planning. Hippocampus 25, 1073–1188. doi: 10.1002/hipo.22488
Cassidy, J. M., Wodeyar, A., Wu, J., Kaur, K., Masuda, A. K., Srinivasan, R., et al. (2020). Low-frequency oscillations are a biomarker of injury and recovery after stroke. Stroke 51, 1442–1450. doi: 10.1161/STROKEAHA.120.028932
Chan, D., Suk, H. J., Jackson, B., Milman, N. P., Stark, D., Beach, S. D., et al. (2021). Induction of specific brain oscillations may restore neural circuits and be used for the treatment of Alzheimer’s disease. J. Intern. Med. 290, 993–1009. doi: 10.1111/joim.13329
Chang, Z., Xie, F., Li, H., Yuan, F., Zeng, L., Shi, L., et al. (2022). Retinal nerve fiber layer thickness and associations with cognitive impairment in Parkinson’s disease. Front Aging Neurosci. 14:832768. doi: 10.3389/fnagi.2022.832768
Chen, P., Fan, Y., Li, Y., Sun, Z., Bissette, G., and Zhu, M. Y. (2012). Chronic social defeat up-regulates expression of norepinephrine transporter in rat brains. Neurochem. Int. 60, 9–20. doi: 10.1016/j.neuint.2011.11.003
Chiu, K., Chan, T. F., Wu, A., Leung, I. Y. P., So, K. F., and Chang, R. C. C. (2012). Neurodegeneration of the retina in mouse models of Alzheimer’s disease: what can we learn from the retina? Age (Dordr) 34, 633–649. doi: 10.1007/s11357-011-9260-2
Clayton, M. S., Yeung, N., and Cohen Kadosh, R. (2019). Electrical stimulation of alpha oscillations stabilizes performance on visual attention tasks. J. Exp. Psychol. Gen. 148, 203–220. doi: 10.1037/xge0000502
Coley, A. A., and Gao, W. J. (2018). PSD95: a synaptic protein implicated in schizophrenia or autism? Prog. Neuropsychopharmacol. Biol. Psychiatry 82, 187–194. doi: 10.1016/j.pnpbp.2017.11.016
Colla, A. R. S., Pazini, F. L., Lieberknecht, V., Camargo, A., and Rodrigues, A. L. S. (2021). Ursolic acid abrogates depressive-like behavior and hippocampal pro-apoptotic imbalance induced by chronic unpredictable stress. Metab. Brain Dis. 36, 437–446. doi: 10.1007/s11011-020-00658-4
Deuschl, G., Schade-Brittinger, C., Krack, P., Volkmann, J., Schäfer, H., Bötzel, K., et al. (2006). A randomized trial of deep-brain stimulation for Parkinson’s disease. N. Engl. J. Med. 355, 896–908. doi: 10.1056/NEJMoa060281
Dhande, O. S., and Huberman, A. D. (2014). Retinal ganglion cell maps in the brain: implications for visual processing. Curr. Opin. Neurobiol. 24, 133–142. doi: 10.1016/j.conb.2013.08.006
Ding, L., Zhang, C., Masood, A., Li, J., Sun, J., Nadeem, A., et al. (2014). Protective effects of phosphodiesterase 2 inhibitor on depression- and anxiety-like behaviors: involvement of antioxidant and anti-apoptotic mechanisms. Behav. Brain Res. 268, 150–158. doi: 10.1016/j.bbr.2014.03.042
Dore, K., Carrico, Z., Alfonso, S., Marino, M., Koymans, K., Kessels, H. W., et al. (2021). PSD-95 protects synapses from β-amyloid. Cell Rep. 35:109194. doi: 10.1016/j.celrep.2021.109194
Dwivedi, Y., and Pandey, G. N. (2008). Adenylyl cyclase-cyclicAMP signaling in mood disorders: role of the crucial phosphorylating enzyme protein kinase A. Neuropsychiatr. Dis. Treat. 4, 161–176. doi: 10.2147/ndt.s2380
Eagle, A. L., Knox, D., Roberts, M. M., Mulo, K., Liberzon, I., Galloway, M. P., et al. (2013). Single prolonged stress enhances hippocampal glucocorticoid receptor and phosphorylated protein kinase B levels. Neurosci. Res. 75, 130–137. doi: 10.1016/j.neures.2012.11.001
Fawcett, J. W., and Kwok, J. C. F. (2022). Proteoglycan sulphation in the function of the mature central nervous system. Front. Integr. Neurosci. 16:895493. doi: 10.3389/fnint.2022.895493
Fernandez, D. C., Chang, Y. T., Hattar, S., and Chen, S. K. (2016). Architecture of retinal projections to the central circadian pacemaker. Proc. Nati. Acad. Sci. U S A 113, 6047–6052. doi: 10.1073/pnas.1523629113
Fischer, D. (2012). Stimulating axonal regeneration of mature retinal ganglion cells and overcoming inhibitory signaling. Cell Tissue Res. 349, 79–85. doi: 10.1007/s00441-011-1302-7
Fischer, D., and Leibinger, M. (2012). Promoting optic nerve regeneration. Prog. Retin. Eye Res. 31, 688–701. doi: 10.1016/j.preteyeres.2012.06.005
Fischer, D., Harvey, A. R., Pernet, V., Lemmon, V. P., and Park, K. K. (2017). Optic nerve regeneration in mammals: regenerated or spared axons? Exp. Neurol. 296, 83–88. doi: 10.1016/j.expneurol.2017.07.008
Foik, A. T., Kublik, E., Sergeeva, E. G., Tatlisumak, T., Rossini, P. M., Sabel, B. A., et al. (2015). Retinal origin of electrically evoked potentials in response to transcorneal alternating current stimulation in the rat. Invest. Ophthalmol. Vis. Sci. 56, 1711–1718. doi: 10.1167/iovs.14-15617
Frank, C. R., Xiang, X., Stagg, B. C., and Ehrlich, J. R. (2019). Longitudinal associations of self-reported vision impairment with symptoms of anxiety and depression among older adults in the united states. JAMA Ophthalmol. 137, 793–800. doi: 10.1001/jamaophthalmol.2019.1085
Fu, L., Fung, F. K., Lo, A. C., Chan, Y. K., So, K. F., Wong, I. Y. H., et al. (2018). Transcorneal electrical stimulation inhibits retinal microglial activation and enhances retinal ganglion cell survival after acute ocular hypertensive injury. Transl. Vis. Sci. Technol. 7:7. doi: 10.1167/tvst.7.3.7
Fujikado, T., Morimoto, T., Matsushita, K., Shimojo, H., Okawa, Y., and Tano, Y. (2006). Effect of transcorneal electrical stimulation in patients with nonarteritic ischemic optic neuropathy or traumatic optic neuropathy. Jpn J. Ophthalmol. 50, 266–273. doi: 10.1007/s10384-005-0304-y
Gasparini, L., Crowther, R. A., Martin, K. R., Berg, N., Coleman, M., Goedert, M., et al. (2011). Tau inclusions in retinal ganglion cells of human P301S tau transgenic mice: effects on axonal viability. Neurobiol. Aging 32, 419–433. doi: 10.1016/j.neurobiolaging.2009.03.002
Goldstein, L. E., Muffat, J. A., Cherny, R. A., Moir, R. D., Ericsson, M. H., Huang, X., et al. (2003). Cytosolic beta-amyloid deposition and supranuclear cataracts in lenses from people with Alzheimer’s disease. Lancet 361, 1258–1265. doi: 10.1016/S0140-6736(03)12981-9
Guttenplan, K. A., Stafford, B.K., El-Danaf, R. N., Adler, D. I., Münch, A. E., Weigel, M. K., et al. (2020). Neurotoxic reactive astrocytes drive neuronal death after retinal injury. Cell Rep. 31:107776. doi: 10.1016/j.celrep.2020.107776
Hahm, B. J., Shin, Y. W., Shim, E. J., Jeon, H. J., Seo, J. M., Chung, H., et al. (2008). Depression and the vision-related quality of life in patients with retinitis pigmentosa. Br. J. Ophthalmol. 92, 650–654. doi: 10.1136/bjo.2007.127092
Hammel, G., Zivkovic, S., Ayazi, M., and Ren, Y. (2022). Consequences and mechanisms of myelin debris uptake and processing by cells in the central nervous system. Cell. Immunol. 380:104591. doi: 10.1016/j.cellimm.2022.104591
Hempstead, B. L. (2006). Dissecting the diverse actions of pro- and mature neurotrophins. Curr. Alzheimer Res. 3, 19–24. doi: 10.2174/156720506775697061
Henrich-Noack, P., Lazik, S., Sergeeva, E., Wagner, S., Voigt, N., Prilloff, S., et al. (2013a). Transcorneal alternating current stimulation after severe axon damage in rats results in "long-term silent survivor" neurons. Brain Res. Bull. 95, 7–14. doi: 10.1016/j.brainresbull.2013.02.008
Henrich-Noack, P., Voigt, N., Prilloff, S., Fedorov, A., and Sabel, B. A. (2013b). Transcorneal electrical stimulation alters morphology and survival of retinal ganglion cells after optic nerve damage. Neurosci. Lett. 543, 1–6. doi: 10.1016/j.neulet.2013.03.013
Herculano-Houzel, S. (2009). The human brain in numbers: a linearly scaled-up primate brain. Front. Hum. Neurosci. 3:31. doi: 10.3389/neuro.09.031.2009
Herculano-Houzel, S., Ribeiro, P., Campos, L., Valotta Da Silva, A., Torres, L. B., Catania, K. C., et al. (2011). Updated neuronal scaling rules for the brains of glires (rodents/lagomorphs). Brain Behav. Evol. 78, 302–314. doi: 10.1159/000330825
Herrington, T. M., Cheng, J. J., and Eskandar, E. N. (2016). Mechanisms of deep brain stimulation. J. Neurophysiol. 115, 19–38. doi: 10.1152/jn.00281.2015
Herrmann, B., and Henry, M. J. (2014). Low-frequency neural oscillations support dynamic attending in temporal context. Timing & Time Perception 2, 62–86. doi: 10.1163/22134468-00002011
Herro, A. M., and Lam, B. L. (2015). Retrograde degeneration of retinal ganglion cells in homonymous hemianopsia. Clin. Ophthalmol. 9, 1057–1064. doi: 10.2147/OPTH.S81749
Heskamp, A., Leibinger, M., Andreadaki, A., Gobrecht, P., Diekmann, H., and Fischer, D. (2013). CXCL12/SDF-1 facilitates optic nerve regeneration. Neurobiol. Dis. 55, 76–86. doi: 10.1016/j.nbd.2013.04.001
Hickey, P., and Race, E. (2021). Riding the slow wave: exploring the role of entrained low-frequency oscillations in memory formation. Neuropsychologia 160:107962. doi: 10.1016/j.neuropsychologia.2021.107962
Hogan, M. K., Hamilton, G. F., and Horner, P. J. (2020). Neural stimulation and molecular mechanisms of plasticity and regeneration: a review. Front. Cell. Neurosci. 14:271. doi: 10.3389/fncel.2020.00271
Inomata, K., Shinoda, K., Ohde, H., Tsunoda, K., Hanazono, G., Kimura, I., et al. (2007). Transcorneal electrical stimulation of retina to treat longstanding retinal artery occlusion. Graefes Arch. Clin. Exp. Ophthalmol. 245, 1773–1780. doi: 10.1007/s00417-007-0610-9
Jassim, A. H., Cavanaugh, M., Shah, J. S., Willits, R., and Inman, D. M. (2021). Transcorneal electrical stimulation reduces neurodegenerative process in a mouse model of glaucoma. Ann. Biomed. Eng. 49, 858–870. doi: 10.1007/s10439-020-02608-8
John, K. D., Wylie, S. A., Dawant, B. M., Rodriguez, W. J., Phibbs, F. T., Bradley, E. B., et al. (2021). Deep brain stimulation effects on verbal fluency dissociated by target and active contact location. Ann. Clin. Transl. Neurol. 8, 613–622. doi: 10.1002/acn3.51304
Jolly, J. K., Wagner, S. K., Martus, P., Maclaren, R. E., Wilhelm, B., Webster, A. R., et al. (2020). Transcorneal electrical stimulation for the treatment of retinitis pigmentosa: a multicenter safety study of the okustim® system (tesola-study). Ophthalmic Res. 63, 234–243. doi: 10.1159/000505001
Kandel, E. R. (2001). The molecular biology of memory storage: a dialogue between genes and synapses. Science 294, 1030–1038. doi: 10.1126/science.1067020
Kang, J., Wang, Y., and Wang, D. (2020). Endurance and resistance training mitigate the negative consequences of depression on synaptic plasticity through different molecular mechanisms. Int. J. Neurosci. 130, 541–550. doi: 10.1080/00207454.2019.1679809
Kaur, C., Foulds, W. S., and Ling, E. A. (2008). Blood-retinal barrier in hypoxic ischaemic conditions: basic concepts, clinical features and management. Prog. Retin. Eye Res. 27, 622–647. doi: 10.1016/j.preteyeres.2008.09.003
Kirbas, S., Turkyilmaz, K., Tufekci, A., and Durmus, M. (2013). Retinal nerve fiber layer thickness in Parkinson disease. J. Neuroophthalmol. 33, 62–65. doi: 10.1097/WNO.0b013e3182701745
Kohler, S. J., Williams, N. I., Stanton, G. B., Cameron, J. L., and Greenough, W. T. (2011). Maturation time of new granule cells in the dentate gyrus of adult macaque monkeys exceeds six months. Proc. Natl. Acad. Sci. U S A 108, 10326–10331. doi: 10.1073/pnas.1017099108
Koshal, P., and Kumar, P. (2016). Effect of liraglutide on corneal kindling epilepsy induced depression and cognitive impairment in mice. Neurochem. Res. 41, 1741–1750. doi: 10.1007/s11064-016-1890-4
Krishnan, C., Santos, L., Peterson, M. D., and Ehinger, M. (2015). Safety of noninvasive brain stimulation in children and adolescents. Brain Stimul. 8, 76–87. doi: 10.1016/j.brs.2014.10.012
Kulsoom, B., Shamsi, T. S., Afsar, N. A., Memon, Z., Ahmed, N., and Hasnain, S. N. (2018). Bax, Bcl-2 and Bax/Bcl-2 as prognostic markers in acute myeloid leukemia: are we ready for Bcl-2-directed therapy? Cancer Manage. Res. 10, 403–416. doi: 10.2147/CMAR.S154608
Kurimoto, T., Oono, S., Oku, H., Tagami, Y., Kashimoto, R., Takata, M., et al. (2010). Transcorneal electrical stimulation increases chorioretinal blood flow in normal human subjects. Clin. Ophthalmol. 4, 1441–1446. doi: 10.2147/OPTH.S14573
Lee, S. Y., Kang, J. S., Song, G. Y., and Myung, C. S. (2006). Stress induces the expression of heterotrimeric G protein β subunits and the phosphorylation of PKB/Akt and ERK1/2 in rat brain. Neurosci. Res. 56, 180–192. doi: 10.1016/j.neures.2006.07.001
Leibrock, C., Ackermann, T. F., Hierlmeier, M., Lang, F., Borgwardt, S., and Lang, U. E. (2013). Akt2 deficiency is associated with anxiety and depressive behavior in mice. Cell. Physiol. Biochem. 32, 766–777. doi: 10.1159/000354478
Levine, J. N., and Schwartz, G. W. (2020). The olivary pretectal nucleus receives visual input of high spatial resolution. BioRxiv [Preprint]. doi: 10.1101/2020.06.23.168054
Levkovitch-Verbin, H., Quigley, H. A., Kerrigan-Baumrind, L. A., D’anna, S. A., Kerrigan, D., and Pease, M. E. (2001). Optic nerve transection in monkeys may result in secondary degeneration of retinal ganglion cells. Invest. Ophthalmol. Vis. Sci. 42, 975–982.
Levkovitch-Verbin, H., Quigley, H. A., Martin, K. R. G., Zack, D. J., Pease, M. E., and Valenta, D. F. (2003). A model to study differences between primary and secondary degeneration of retinal ganglion cells in rats by partial optic nerve transection. Invest. Ophthalmol. Vis. Sci. 44, 3388–3393. doi: 10.1167/iovs.02-0646
Liu, B., Rasool, S., Yang, Z., Glabe, C. G., Schreiber, S. S., Ge, J., et al. (2009). Amyloid-peptide vaccinations reduce beta-amyloid plaques but exacerbate vascular deposition and inflammation in the retina of Alzheimer’s transgenic mice. Am. J. Pathol. 175, 2099–2110. doi: 10.2353/ajpath.2009.090159
Ma, H., Li, C., Wang, J., Zhang, X., Li, M., Zhang, R., et al. (2021). Amygdala-hippocampal innervation modulates stress-induced depressive-like behaviors through AMPA receptors. Proc. Natl. Acad. Sci. U S A 118:e2019409118. doi: 10.1073/pnas.2019409118
Matsumoto, H., and Ugawa, Y. (2017). Adverse events of tDCS and tACS: a review. Clin. Neurophysiol. Pract. 2, 19–25. doi: 10.1016/j.cnp.2016.12.003
Maxwell, W. L. (2013). Damage to myelin and oligodendrocytes: a role in chronic outcomes following traumatic brain injury? Brain Sci. 3, 1374–1394. doi: 10.3390/brainsci3031374
Miyake, K. I., Yoshida, M., Inoue, Y., and Hata, Y. (2007). Neuroprotective effect of transcorneal electrical stimulation on the acute phase of optic nerve injury. Invest. Ophthalmol. Vis. Sci. 48, 2356–2361. doi: 10.1167/iovs.06-1329
Morimoto, T., Fujikado, T., Choi, J. S., Kanda, H., Miyoshi, T., Fukuda, Y., et al. (2007). Transcorneal electrical stimulation promotes the survival of photoreceptors and preserves retinal function in royal college of surgeons rats. Invest. Ophthalmol. Vis. Sci. 48, 4725–4732. doi: 10.1167/iovs.06-1404
Morimoto, T., Fukui, T., Matsushita, K., Okawa, Y., Shimojyo, H., Kusaka, S., et al. (2006). Evaluation of residual retinal function by pupillary constrictions and phosphenes using transcorneal electrical stimulation in patients with retinal degeneration. Graefes Arch. Clin. Exp. Ophthalmol. 244, 1283–1292. doi: 10.1007/s00417-006-0260-3
Morimoto, T., Kanda, H., Kondo, M., Terasaki, H., Nishida, K., and Fujikado, T. (2012). Transcorneal electrical stimulation promotes survival of photoreceptors and improves retinal function in rhodopsin P347L transgenic rabbits. Invest. Ophthalmol. Vis. Sci. 53, 4254–4261. doi: 10.1167/iovs.11-9067
Morimoto, T., Miyoshi, T., Matsuda, S., Tano, Y., Fujikado, T., and Fukuda, Y. (2005). Transcorneal electrical stimulation rescues axotomized retinal ganglion cells by activating endogenous retinal IGF-1 system. Invest. Ophthalmol. Vis. Sci. 46, 2147–2155. doi: 10.1167/iovs.04-1339
Morimoto, T., Miyoshi, T., Sawai, H., and Fujikado, T. (2010). Optimal parameters of transcorneal electrical stimulation (TES) to be neuroprotective of axotomized RGCs in adult rats. Exp. Eye Res. 90, 285–291. doi: 10.1016/j.exer.2009.11.002
Moschos, M. M., Tagaris, G., Markopoulos, I., Margetis, I., Tsapakis, S., Kanakis, M., et al. (2011). Morphologic changes and functional retinal impairment in patients with Parkinson disease without visual loss. Eur. J. Ophthalmol. 21, 24–29. doi: 10.5301/ejo.2010.1318
Naycheva, L., Schatz, A., Willmann, G., Bartz-Schmidt, K. U., Zrenner, E., Röck, T., et al. (2013). Transcorneal electrical stimulation in patients with retinal artery occlusion: a prospective, randomized, sham-controlled pilot study. Ophthalmol. Ther. 2, 25–39. doi: 10.1007/s40123-013-0012-5
Ni, A., Zhou, R., and Tian, F. (2019). Modulation of human visuospatial attention analysis by transcranial direct current stimulation (tDCS) in the line bisection performance. Saudi J. Biol. Sci. 26, 1956–1960. doi: 10.1016/j.sjbs.2019.06.007
Ni, Y. Q., Gan, D. K., Xu, H. D., Xu, G. Z., and Da, C. D. (2009). Neuroprotective effect of transcorneal electrical stimulation on light-induced photoreceptor degeneration. Exp. Neurol. 219, 439–452. doi: 10.1016/j.expneurol.2009.06.016
Ning, A., Cui, J., To, E., Ashe, K. H., and Matsubara, J. (2008). Amyloid-beta deposits lead to retinal degeneration in a mouse model of Alzheimer disease. Invest. Ophthalmol. Vis. Sci. 49, 5136–5143. doi: 10.1167/iovs.08-1849
Oono, S., Kurimoto, T., Kashimoto, R., Tagami, Y., Okamoto, N., and Mimura, O. (2011). Transcorneal electrical stimulation improves visual function in eyes with branch retinal artery occlusion. Clin. Ophthalmol. 5, 397–402. doi: 10.2147/OPTH.S17751
Palop, J. J., and Mucke, L. (2016). Network abnormalities and interneuron dysfunction in Alzheimer disease. Nat. Rev. Neurosci. 17, 777–792. doi: 10.1038/nrn.2016.141
Pearson, C. S., Solano, A. G., Tilve, S. M., Mencio, C. P., Martin, K. R., and Geller, H. M. (2020). Spatiotemporal distribution of chondroitin sulfate proteoglycans after optic nerve injury in rodents. Exp. Eye Res. 190:107859. doi: 10.1016/j.exer.2019.107859
Pernet, V. (2017). Nogo-A in the visual system development and in ocular diseases. Biochim. Biophys. Acta Mol. Basis Dis. 1863, 1300–1311. doi: 10.1016/j.bbadis.2017.04.008
Pittenger, C., and Duman, R. S. (2008). Stress, depression and neuroplasticity: a convergence of mechanisms. Neuropsychopharmacology 33, 88–109. doi: 10.1038/sj.npp.1301574
Rahmani, S., Bogdanowicz, L., Thomas, J., and Hetling, J. R. (2013). Chronic delivery of low-level exogenous current preserves retinal function in pigmented P23H rat. Vis. Res. 76, 105–113. doi: 10.1016/j.visres.2012.10.016
Reichardt, L. F. (2006). Neurotrophin-regulated signalling pathways. Philos. Trans. R. Soc. Lond. B Biol. Sci. 361, 1545–1564. doi: 10.1098/rstb.2006.1894
Sabel, B. A., Fedorov, A. B., Naue, N., Borrmann, A., Herrmann, C., and Gall, C. (2011). Non-invasive alternating current stimulation improves vision in optic neuropathy. Restor. Neurol. Neurosci. 29, 493–505. doi: 10.3233/RNN-2011-0624
Schatz, A., Pach, J., Gosheva, M., Naycheva, L., Willmann, G., Wilhelm, B., et al. (2017). Transcorneal electrical stimulation for patients with retinitis pigmentosa: a prospective, randomized, sham-controlled follow-up study over 1 year. Invest. Ophthalmol. Vis. Sci. 58, 257–269. doi: 10.1167/iovs.16-19906
Schatz, A., Röck, T., Naycheva, L., Willmann, G., Wilhelm, B., Peters, T., et al. (2011). Transcorneal electrical stimulation for patients with retinitis pigmentosa: a prospective, randomized, sham-controlled exploratory study. Invest. Ophthalmol. Vis. Sci. 52, 4485–4496. doi: 10.1167/iovs.10-6932
Sergeeva, E. G., Fedorov, A. B., Henrich-Noack, P., and Sabel, B. A. (2012). Transcorneal alternating current stimulation induces EEG "aftereffects" only in rats with an intact visual system but not after severe optic nerve damage. J. Neurophysiol. 108, 2494–2500. doi: 10.1152/jn.00341.2012
Sergeeva, E. G., Rosenberg, P. A., and Benowitz, L. I. (2021). Non-cell-autonomous regulation of optic nerve regeneration by amacrine cells. Front. Cell. Neurosci. 15:666798. doi: 10.3389/fncel.2021.666798
Shao, C. Y., Mirra, S. S., Sait, H. B. R., Sacktor, T. C., and Sigurdsson, E. M. (2011). Postsynaptic degeneration as revealed by PSD-95 reduction occurs after advanced Aβ and tau pathology in transgenic mouse models of Alzheimers disease. Acta Neuropathol. 122, 285–292. doi: 10.1007/s00401-011-0843-x
Shelton, R. C., Hal Manier, D., and Lewis, D. A. (2009). Protein kinases A and C in post-mortem prefrontal cortex from persons with major depression and normal controls. Int. J. Neuropsychopharmacol. 12, 1223–1232. doi: 10.1017/S1461145709000285
Smeding, H. M. M., Speelman, J. D., Koning-Haanstra, M., Schuurman, P. R., Nijssen, P., Van Laar, T., et al. (2006). Neuropsychological effects of bilateral STN stimulation in Parkinson disease: a controlled study. Neurology 66, 1830–1836. doi: 10.1212/01.wnl.0000234881.77830.66
Streilein, J. W. (2003). Ocular immune privilege: therapeutic opportunities from an experiment of nature. Nat. Rev. Immunol. 3, 879–889. doi: 10.1038/nri1224
Sun, F. L., Wang, W., Zuo, W., Xue, J. L., Xu, J. D., Ai, H. X., et al. (2014). Promoting neurogenesis via Wnt/β-catenin signaling pathway accounts for the neurorestorative effects of morroniside against cerebral ischemia injury. Eur. J. Pharmacol. 738, 214–221. doi: 10.1016/j.ejphar.2014.05.019
Tagami, Y., Kurimoto, T., Miyoshi, T., Morimoto, T., Sawai, H., and Mimura, O. (2009). Axonal regeneration induced by repetitive electrical stimulation of crushed optic nerve in adult rats. Jpn. J. Ophthalmol. 53, 257–266. doi: 10.1007/s10384-009-0657-8
Tao, Y., Chen, T., Liu, Z. Y., Wang, L. Q., Xu, W. W., Qin, L. M., et al. (2016). Topographic quantification of the transcorneal electrical stimulation (TES)-induced protective effects on n-methyl-n-nitrosourea-treated retinas. Invest. Ophthalmol. Vis. Sci. 57, 4614–4624. doi: 10.1167/iovs.16-19305
Tarsa, L., and Goda, Y. (2002). Synaptophysin regulates activity-dependent synapse formation in cultured hippocampal neurons. Proc. Natl. Acad. Sci. U S A 99, 1012–1016. doi: 10.1073/pnas.022575999
Wagner, S. K., Jolly, J. K., Pefkianaki, M., Gekeler, F., Webster, A. R., Downes, S. M., et al. (2017). Transcorneal electrical stimulation for the treatment of retinitis pigmentosa: results from the TESOLAUK trial. BMJ Open Ophthalmol. 2:e000096. doi: 10.1136/bmjophth-2017-000096
Wang, X., Mo, X., Li, D., Wang, Y., Fang, Y., Rong, X., et al. (2011). Neuroprotective effect of transcorneal electrical stimulation on ischemic damage in the rat retina. Exp. Eye Res. 93, 753–760. doi: 10.1016/j.exer.2011.09.022
Weaver, F. M., Follett, K., Stern, M., Hur, K., Harris, C., Marks, W. J., et al. (2009). Bilateral deep brain stimulation vs best medical therapy for patients with advanced Parkinson disease: a randomized controlled trial. JAMA 301, 63–73. doi: 10.1001/jama.2008.929
Williams, A., Gill, S., Varma, T., Jenkinson, C., Quinn, N., Mitchell, R., et al. (2010). Deep brain stimulation plus best medical therapy versus best medical therapy alone for advanced Parkinson’s disease (PD SURG trial): a randomised, open-label trial. Lancet Neurol. 9, 581–591. doi: 10.1016/S1474-4422(10)70093-4
Willmann, G., Schäferhoff, K., Fischer, M. D., Arango-Gonzalez, B., Bolz, S., Naycheva, L., et al. (2011). Gene expression profiling of the retina after transcorneal electrical stimulation in wild-type brown norway rats. Invest. Ophthalmol. Vis. Sci. 52, 7529–7537. doi: 10.1167/iovs.11-7838
Wlav, P., Poleszak, E., Serefko, A., Wlaź, A., and Rundfeldt, C. (2015). Anxiogenic- and antidepressant-like behavior in corneally kindled rats. Pharmacol. Rep. 67, 349–352. doi: 10.1016/j.pharep.2014.10.012
Woodburn, S. C., Bollinger, J. L., and Wohleb, E. S. (2021). Synaptic and behavioral effects of chronic stress are linked to dynamic and sex-specific changes in microglia function and astrocyte dystrophy. Neurobiol. Stress 14:100312. doi: 10.1016/j.ynstr.2021.100312
Wu, J., Liu, C., Zhang, L., He, B., Shi, W. P., Shi, H.-L., et al. (2021). Chronic restraint stress impairs cognition via modulating HDAC2 expression. Transl. Neurosci. 12, 154–163. doi: 10.1515/tnsci-2020-0168
Xie, J., Wang, G. J., Yow, L., Cela, J. C., Humayun, M. S., Weiland, J. D., et al. (2011). Modeling and percept of transcorneal electrical stimulation in humans. IEEE Trans. Biomed. Eng. 58, 1932–1939. doi: 10.1109/TBME.2010.2087378
Xu, S., Wang, W., Chen, S., Wu, Q., Li, C., Ma, X., et al. (2021). Deep brain stimulation complications in patients with Parkinson’s disease and surgical modifications: a single-center retrospective analysis. Front. Hum. Neurosci. 15:684895. doi: 10.3389/fnhum.2021.684895
Yang, L., Shi, L. J., Yu, J., and Zhang, Y. Q. (2016). Activation of protein kinase A in the amygdala modulates anxiety-like behaviors in social defeat exposed mice. Mol. Brain 9:3. doi: 10.1186/s13041-015-0181-3
Yang, P. C., Yang, C. H., Huang, C. C., and Hsu, K. S. (2008). Phosphatidylinositol 3-kinase activation is required for stress protocol-induced modification of hippocampal synaptic plasticity. J. Biol. Chem. 283, 2631–2643. doi: 10.1074/jbc.M706954200
Yin, Y., De Lima, S., Gilbert, H. Y., Hanovice, N. J., Peterson, S. L., Sand, R. M., et al. (2019). Optic nerve regeneration: a long view. Restor. Neurol. Neurosci. 37, 525–544. doi: 10.3233/RNN-190960
Yu, W. S., Chiu, J. L. Y., Muhammad Sharafuddin Bin, M. K., Tan, Z. K. S., Tse, C. K. A., Guan, L., et al. (2019). “Transcorneal electrical stimulation induced antidepressant-like effects in S334ter-line-3 rat model of retinal degeneration,” in Medicine and Health (Malaysia: Universiti Kebangsaan Malaysia), Available online at: https://www.medicineandhealthukm.com/.
Yu, G., Zhang, Y., and Ning, B. (2021a). Reactive astrocytes in central nervous system injury: subgroup and potential therapy. Front. Cell. Neurosci. 15:792764. doi: 10.3389/fncel.2021.792764
Yu, W. S., Kwon, S. H., Agadagba, S. K., Chan, L. L. H., Wong, K. H., and Lim, L. W. (2021b). Neuroprotective effects and therapeutic potential of transcorneal electrical stimulation for depression. Cells 10:2492. doi: 10.3390/cells10092492
Yu, W. S., Tse, A. C. K., Guan, L., Chiu, J. L. Y., Tan, S. Z. K., Khairuddin, S., et al. (2022a). Antidepressant-like effects of transcorneal electrical stimulation in rat models. Brain Stimul. 15, 843–856. doi: 10.1016/j.brs.2022.05.018
Yu, W. S., Aquili, L., Kah Hui, W., Lo, A. C. Y., Chan, L. L. H., Chan, Y. S., et al. (2022b). Transcorneal electrical stimulation enhances cognitive functions in aged and 5XFAD mouse models. Ann. N. Y. Acad. Sci. 1515, 249–265. doi: 10.1111/nyas.14850
Yuki, D., Sugiura, Y., Zaima, N., Akatsu, H., Takei, S., Yao, I., et al. (2014). DHA-PC and PSD-95 decrease after loss of synaptophysin and before neuronal loss in patients with Alzheimer’s disease. Sci. Rep. 4:7130. doi: 10.1038/srep07130
Yu-Wai-Man, P. (2015). Traumatic optic neuropathy-clinical features and management issues. Taiwan J. Ophthalmol. 5, 3–8. doi: 10.1016/j.tjo.2015.01.003
Zhang, L., Luo, J., Zhang, M., Yao, W., Ma, X., and Yu, S. Y. (2014). Effects of curcumin on chronic, unpredictable, mild, stress-induced depressive-like behaviour and structural plasticity in the lateral amygdala of rats. Int. J. Neuropsychopharmacol. 17, 793–806. doi: 10.1017/S1461145713001661
Zhang, X., Ge, T. T., Yin, G., Cui, R., Zhao, G., and Yang, W. (2018). Stress-induced functional alterations in amygdala: implications for Neuropsychiatric diseases. Front. Neurosci. 12:367. doi: 10.3389/fnins.2018.00367
Zheng, Y., Wu, X., Lin, X., and Lin, H. (2017). The prevalence of depression and depressive symptoms among eye disease patients: a systematic review and meta-analysis. Sci. Rep. 7:46453. doi: 10.1038/srep46453
Keywords: neuromodulation, transcorneal electrical stimulation, eye-brain connection, brain neural oscillations, electrophysiology, plasticity
Citation: Agadagba SK, Lim LW and Chan LLH (2023) Advances in transcorneal electrical stimulation: From the eye to the brain. Front. Cell. Neurosci. 17:1134857. doi: 10.3389/fncel.2023.1134857
Received: 31 December 2022; Accepted: 07 February 2023;
Published: 02 March 2023
Edited by:
Stan L. Leung, Western University, CanadaReviewed by:
Elena G. Sergeeva, Boston Children’s Hospital and Harvard Medical School, United StatesHans Dringenberg, Queen’s University, Canada
Copyright © 2023 Agadagba, Lim and Chan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Leanne Lai Hang Chan, leanne.chan@cityu.edu.hk