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MINI REVIEW article

Front. Neurosci., 05 August 2022
Sec. Brain Imaging Methods
This article is part of the Research Topic Insights in Brain Imaging Methods: 2021 View all 9 articles

Imaging and spectroscopic methods to investigate adult neurogenesis in vivo: New models and new avenues

\nNathalie Just,
Nathalie Just1,2*Pierre-Marie ChevillardPierre-Marie Chevillard2Martine MigaudMartine Migaud2
  • 1Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager og Hvidovre, Hvidovre, Denmark
  • 2Physiologie de la Reproduction et des Comportements, Centre INRAE Val de Loire, CNRS, IFCE, INRAE, and Université de Tours, Nouzilly, France

Adult neurogenesis (AN) can be defined as the birth and development of new neurons in adulthood. Until the 1990s, AN was deemed not to happen after birth. Gradually, several groups demonstrated that specific zones of the brain of various species had a neurogenic potential. AN could be the key to treating a large range of neurodegenerative, neuropsychiatric, and metabolic diseases, with a better understanding of the mechanisms allowing for regeneration of new neurons. Despite this promising prospect, the existence of AN has not been validated in vivo in humans and therefore remains controversial. Moreover, the weight of AN-induced plasticity against other mechanisms of brain plasticity is not known, adding to the controversy. In this review, we would like to show that recent technical advances in brain MR imaging methods combined with improved models can resolve the debate.

Introduction

During the twentieth century, the prevalent dogma was that there was no generation of new neurons after birth. Then, gradually, different studies showed that adult neurogenesis (AN) induced plasticity in some specific regions of the brain of various species including humans. Changes occurred following learning, exercise, environmental enrichment, or stress. If validated, AN could have enormous implications for human health (Gage, 2019).

Despite more than 3 decades of research, the impact of AN on human health remains controversial because the in-vivo functional and metabolic roles of AN have not been established prompting to the non-existence of AN in the brain of adult humans (Sorrells et al., 2018). In their review of the current status of research on AN based on two opposite views on the existence of AN in the human brain, Kempermann et al. (2018) clearly pointed at “a clear need for additional ways to study the generation of new neurons in adult humans” and concluded against “the categorical claim that there is no AN in the human hippocampus” owing to the development of more quantitative analyses and in vivo methods. Here, we argue that there exists an arsenal of quantitative neuroimaging tools, which could be used efficiently to validate the presence or not of AN in the brain of adult humans. The aim of this mini review is not to review once more the history of AN, as this has been conducted on many occasions (Kuhn et al., 2018; Toda and Gage, 2018; Fares et al., 2019). In this review, we propose to discuss the wealth of existing quantitative magnetic resonance methodologies, which could be very efficient in detecting AN in vivo. Moreover, we suggest that the combination of these structural, functional, and metabolic quantitative MR techniques and their translational nature may help the validating procedure of AN in the human brain.

A definition of adult neurogenesis

AN is the process by which new neurons are generated from neuronal stem cells in adults. This process involves the development of neural stem cells into progenitor cells their proliferation, differentiation, migration, and integration into existing neurons, and finally their maturation. It happens essentially during some activities such as exercise. Three major neurogenic niches have been identified in various species: the subgranular zone (SGZ), the subventricular zone (SVZ) of the hippocampus, and the olfactory bulb (Jurkowski et al., 2020). In addition, other areas of the brain have shown some neurogenic potential such as the striatum (Ernst et al., 2014) and the hypothalamus (Migaud et al., 2015).

The existence of AN in the human brain remains controversial

AN has mainly been evaluated and validated using invasive and/or post-mortem methodologies. Among them, traditional immunohistochemical methods have been used in many animal models such as fish, frogs, birds, hamsters, rodents, monkeys, and sheep and the post-mortem human brain. Notably, bromodeoxyuredine (BrdU) was extensively used in the late 1990s to demonstrate the presence of AN in post-mortem SVZ brain samples of patients with cancer (Eriksson et al., 1998).

The ability of invasive methodologies to detect and quantify the presence of AN depends on the stage of the neurogenic process as well as the species on which they were tested. Numerous studies have been performed in the rodent brain, which is unfortunately not a representative model owing to important genetic differences and variations in cell type, cell growth, brain size, and development time to adulthood. The time to adulthood constitutes one of the main arguments against the existence of AN in the human brain, with studies showing a significant drop in the generation of new neurons in the dentate gyrus of the hippocampus of humans during the first years of life. Thus the conclusion to that AN at adulthood in humans does not exist (Sorrells et al., 2018). Despite these results, earlier 14C dating had demonstrated the existence of AN into the fifth decade of life in the human hippocampus (Spalding et al., 2013) but not in the olfactory bulb (Bergmann et al., 2012). Interestingly, these findings hinted at other mechanisms of brain plasticity in large brains such as different cytoarchitectural organizations of neurogenic niches and different migration paths compared to rodents. Notably, the capacity of astrocytes to act as neuronal stem cells (NSCs) was shown. It can therefore be envisaged that specific cell populations might be dependent on specific types of brain activities and mechanisms or disruptions of brain activities necessitating different sensitivities of detection techniques as well as new biomarkers.

AN has been mainly investigated with immunohistochemical methods and in post-mortem samples

The development of newborn neurons from NSCs until they integrate either the hippocampal or the hypothalamic circuitry passes through multiple development stages, each of which depends on the expression of specific protein markers described in-depth in many articles (Kuhn et al., 2016). AN has therefore a time-dependent and functional development, which is difficult to observe longitudinally by immunohistochemical studies. Thus, glial fibrillary acidic proteins (GFAPs), Nestin, Sox2, and bromodeoxyuridine (BrdU), which has been widely used to detect the presence of neurogenesis and represents the gold standard for validating the existence of AN, are often used to recognize proliferation stages. Doublecortin (DCX) is used as a marker of differentiation and/or migration. Finally, calretinin, Neun, and calbindin expressions can be useful for detection of new neurons and their integration to local circuitry (Kozareva et al., 2019).

Despite their repeated usage to demonstrate proliferation, differentiation, or migration of cells in AN, many immunohistochemical markers present confounding effects. For example, BrdU labeling performance depends on the status of the blood brain barrier or can label phenomena other than proliferation (Sierra et al., 2011). The specificity of DCX as a marker of AN has also been challenged (Sierra et al., 2011), while the expression of other antibodies and markers of proliferation must be performed with care since non-neurogenic cells may also be labeled.

An existing panel of in vivo MRI techniques

To establish the existence of AN in vivo and demonstrate its impact on human health, it is necessary to perform non-invasive in vivo neuroimaging. Magnetic resonance imaging (MRI) is, by far, one of the most translatable imaging techniques currently available for estimation of non-invasive biomarkers of development and progression of diseases and for investigation of responses to treatment in various species. MRI offers a large panel of qualitative, semi-quantitative, and quantitative parameters for visualization and understanding of both healthy and pathological features.

For the past 20 years, crucial technological developments of MRI machines have permitted important advances of structural, functional, and metabolic imaging methods that are now widely used in both experimental and clinical settings. As a matter of fact, a wide range of identical imaging sequences [for dynamic contrast-enhanced (DCE), dynamic susceptibility contrast (DSC) MRI, for diffusion tensor (DTI) MRI, for blood oxygen level-dependent functional MRI (BOLD fMRI), for perfusion MRI etc.] exists for small animals and for humans, while more and more animal-dedicated scanners propose similar hardware and software functionalities. Moreover, subsequent image analysis of animal or human scans often uses identical platforms, although programs need to be adapted.

Of course, direct detection of AN in vivo necessitates acquisition of images at cellular resolution. With conventional magnetic resonance imaging (MRI) techniques, the in vivo in plane spatial resolution is rarely below 100 μm2. Direct detection of AN is therefore difficult with MR techniques, and many studies mention possible effects of AN without demonstrating its presence. In Table 1, we enumerated studies using MR techniques to evaluate the presence in or effects of AN on both animals and humans. This summary is not exhaustive but demonstrates the lack of direct in vivo MR studies on AN.

TABLE 1
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Table 1. MR publications on adult neurogenesis.

A wide range of MR techniques has been developed for the past 30 years, allowing for characterization and relative or absolute quantification of biomarkers or surrogate markers of various structural, functional, or even metabolic changes occurring in the brain in vivo. Among them, vascular markers such as cerebral blood flow (CBF) and cerebral blood volume (CBV) have been used as potential surrogate markers of AN both in the rodent and human hippocampi after prolonged exercise (Pereira et al., 2007). Thus, despite the lack of high-resolution images, the impact of AN on brain physiology is measurable and quantifiable in a translational fashion by MRI. Moreover, MR measurements can be repeated longitudinally on same subjects across years. Many other MR techniques can be used to probe the presence of AN [blood oxygen level-dependent (BOLD) functional MRI, diffusion MRI, or MR spectroscopy (MRS)] but have been scarcely used in this context (Table 1). Unfortunately, to date, most studies remain correlative, where MR parameters are correlated to BrdU or DCX labeling to prove the existence and impact of AN. Disentangling the effects of AN on MR parameters from other effects (i.e., exercise and disease) remains challenging. In addition, AN may consist of generation of only a few cells to which MR parameter changes may not be sensitive.

Animal models

Rodent models are widely used in MRI owing to their wide availability, including transgenic models, as well as their flexibility, homogeneity, ease of use for preclinical imaging studies and the important knowledge accumulated over the years on them. They provide an important source of valuable knowledge on human disease allowing cross-correlations of MRI with cellular and molecular parameters and thus bring insights into the underlying mechanisms of various disorders. Nevertheless, their physiology, their behavior, and their development from birth to adulthood within a few months as opposed to several years in the human, do not always make valid models of them. The results obtained on their lissencephalic brain are difficult to transpose to humans and, the lack of specific features or symptoms, especially in mental disorders (in schizophrenia, autism) make them irrelevant for pharmaco-therapeutic challenges. In terms of MRI, the differences in spatial and temporal resolutions can be difficult to transpose to the humans in the clinical setting despite the use of higher magnetic field strengths for research only purposes. Finally, physiological and behavioral responses to anesthesia in rodents may differ substantially from the humans, which nevertheless are rarely anesthetized for routine MRI scanning.

On the other hand, non-human primates (NHPs) are considered the most relevant animal model for translational purposes, being the closest animal models to humans regarding their genetic background, physiology, and behavior. Most often, they are considered as the last criterion for establishing the efficacy of a drug before transition to humans. However, recent studies have also provided evidence that NHP models have also provided disappointing contributions to medical advancements. Moreover, ethical issues such as suffering and deaths of NHPs in biomedical research are frequently raised. The validity of some studies regarding cognition and behavior assessments of captive NHPs has also been questioned.

Despite the ethical issues mentioned previously, establishment of relevant NHP models of various diseases in combination with non-invasive MRI techniques is a growing area of research holding great promises for development and assessment of various therapeutic protocols. Moreover, MRI investigation of NHPs can be useful to validate the characterization of deeper brain structures and specific nuclei (Zitella et al., 2015) including in routinely used clinical scanners at a field strength of 3T and using whole-body MR features such as parallel imaging further enforcing the usefulness of NHPs for translational research (Li and Zhang, 2017). In addition, NHP models can be used effectively to investigate neural circuitry with cutting-edge technologies such as optogenetics (Senova et al., 2018), which that can be coupled with MRI techniques to identify specific anatomical targets for further stimulation therapy.

In between rodent and NHP animal models, there exists a wide range of other animal models that already showed an interesting potential for translational biomedical research. This is the case of the ovine model, which can be an interesting alternative to NHPs for MRI techniques (Ella et al., 2017; Just et al., 2021a).

Sheep have reproducibly demonstrated AN in the hypothalamus (Migaud et al., 2015; Butruille et al., 2018). Compared to other species with a gyrencephalic brain, sheep are sensitive to photoperiod. The photoperiod represents the ratio of day to night length, which regulates the reproduction cycle of this species (Malpaux et al., 2001). BrdU and DCX staining of the median eminence and arcuate nucleus of the hypothalamus in sheep showed that AN occurs during the shortest days of the year (from the end of September to the start of January) corresponding as well to the period of reproduction. Figure 1B shows a photomicrograph example of DCX-positive staining in the arcuate nucleus of the sheep hypothalamus followed by drawings showing variations in DCX+ staining during photoperiod (Figures 1C,D) (Migaud et al., 2015; Chevillard et al., 2022). In these animals, AN can be seen as a naturally occurring phenomenon, which confers an increased interest to this animal model in addition to their gyrencephalic brain, extended time to adulthood (3–4 years after birth), and possibility to be examined under similar conditions with identical imaging sequences to humans in clinical MR scanners (Just et al., 2021a).

FIGURE 1
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Figure 1. Adult neurogenesis in the hypothalamus of sheep. (A) Different stages of adult neurogenesis from neural stem cells (NSCs) to DX-positive mature neurons. (B) Photomicrograph of DCX-positive staining in the arcuate nucleus of the sheep hypothalamus. (C,D) Drawings showing variations in DCX + staining during photoperiod.

Multi-MR techniques for in vivo detection of AN in the sheep brain

AN is a dynamic process involving multiple structural, vascular, functional, and metabolic changes across time. Interestingly, several MR techniques are designed to probe these changes. Unfortunately, only hypotheses on their potential role on the detection of AN have been emitted.

Voxel-based morphometry (VBM) and adult neurogenesis

In VBM, high-resolution structural volumes of the brain are compared statistically to draw conclusions on differences in brain regions between groups. Preliminary examples of a VBM analysis (Figure 2) conducted from segmentation of MPRAGE images of the sheep brain (Figure 2B) show significant structural changes occurring during the short days of the year (SP, short period) during AN compared to the long days of the year (LP, long period). We expected changes to arise from the arcuate nucleus and the median eminence of the hypothalamus (Figure 2C; The Sheep Brain Atlas, Michigan State University) due to ongoing AN. Several studies demonstrated that VBM could be advantageous for the analysis of the human brain in health and disease but the nature of the cellular changes underlying the signal of structural images has often been speculated to come from AN, endothelial cell or glial cell proliferation as well as changes in dendritic spine density but rarely probed for these effects. For example, Killgore et al. (2013) correlated total minutes of weekly exercise to changes in hippocampal volume evaluated with VBM. They associated their findings to AN. Franklin et al. (2013), on the other hand, showed that vascular effects could easily confound VBM findings in the hippocampus demonstrating that changes in neural mechanisms should always be tested to confirm that they could be the source of structural changes.

FIGURE 2
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Figure 2. Patchwork of different MR techniques used to explore the response of different structural and functional MR parameters to AN in the sheep hypothalamus during photopriodism. (A) Structural MR imaging and sensitivity to AN in the sheep hypothalamus. (B) VBM analysis conducted from the segmentation of MPRAGE images (0.5 × 0.5 × 0.2 mm3). (C) Labeled fiber staining from the Sheep Brain Atlas (Michigan State University) showing the hypothalamus of the sheep with specific nuclei such as the arcuate nucleus. (D) VBM analysis detected significant structural changes occurring during the short days of the year (SP, short period) during AN compared to the long days of the year (LP, long period). (E) Functional MR imaging and sensitivity to AN rCBVmaps. (F) Comparison between LP and SP in the hypothalamus show a significant increase during SP (see Just et al., 2021b for methods). (G) Example of vascular occupancy (VASO) map during C02 inhalation. (H) BOLD fMRI upon hypercapnic challenge during SP (Chevillard et al., 2021). (I) 1H-MRS of the hypothalamus demonstrated activation in hypothalamic areas and corresponded well to changes in glutamate. (J) Example of Myelin water fraction (MWf) and T2 maps. These examples were extracted from data, which are still under analysis but appear to show some consistent response among all the different MR modalities used with structural, functional, and hemodynamic changes occurring during the period of AN.

Blood oxygen level-dependent fMRI, perfusion MRI, and other functional MR techniques

The BOLD signal represents one of the acknowledged proxies for neuronal activity. As such, it could be thought of as one of the best ways to investigate AN. Again, the potential of the BOLD signal as a surrogate marker of AN has been speculated on many instances with very few attempts to probe this hypothesis. Interestingly if one types “Neurogenesis and BOLD-fMRI” on PubMed, almost only rodent studies are found, although human studies exist and have compared BOLD functional responses in the hippocampus in elderly populations vs. younger populations showing CA3/dentate functional deficits related to memory impairments in healthy elderly subjects (Yassa and Stark, 2011). Although authors compared their findings to animal studies also using a pattern separation task in which the role of newborn granule cells was demonstrated (Clelland et al., 2009), the potential role of AN was not reported.

In contrast to VBM, the BOLD signal has been extensively examined for many years, with many studies linking cellular changes to BOLD responses (Kida and Hyder, 2006; Just et al., 2013). Nevertheless, the BOLD signal corresponds to a hemodynamic response, which includes changes in cerebral blood volume (CBV), cerebral blood flow (CBF), and rate of oxygen consumption (CMRO2) and describes neuronal activity in an indirect manner by neurovascular coupling. The underpinnings of BOLD responses remain difficult to apprehend with conventional methods. Therefore dissociating the BOLD signals due to newborn neurons from already existing neurons requires cutting-edge techniques involving the use of ultra-high magnetic fields as well as the combination of MR techniques with genetic tools (i.e., optogenetics or calcium imaging) to access the single cell function (Chen et al., 2019), which obviously cannot be performed in vivo in the human brain. Parallel neuroimaging studies can, however, be conducted on animal models and humans as was performed with MRI CBV (Pereira et al., 2007). CBV measurements were performed longitudinally in mice exercising daily demonstrating significant increases in the dentate gyrus (DG), which correlated with BrdU expression and validated the presence of AN. In a cohort of adult human subjects, CBV in the DG followed the same trend while CBF was also increased and correlated with cognition, suggesting a potential role of AN by extrapolation of animal results. Recently, Steventon et al. (2020) examined whether CBF augmentation in the hippocampus following long-term exercises had a mechanistic vascular origin using both ASL and cerebrovascular reactivity (CVR) to CO2 inhalation. They showed that CBF changes due to exercise were more likely to arise from adaptive metabolic changes, which could trigger AN and vascular plasticity, although these were only demonstrated through similar studies. Alternatively, CBV is correlated to angiogenesis, which is coupled to progenitor proliferation (Chevillard et al., 2022). Steventon et al. (2020) suggested that vascular plasticity changes could arise from mature neurons since vascular endothelial growth factor changes occur prior to new neurons becoming functional. However, perfusion changes due to exercise that were measured without concurrent changes in CBF and BOLD signal could also be due to the earlier proliferation stages of AN, whereas BOLD signal and CBF changes would occur in a later stage when a neural network is established (Ho et al., 2013). Moreover, angiogenic processes do not necessarily occur simultaneously with neurogenic processes (Chevillard et al., 2022), which could also explain discrepancies.

Therefore, in vivo validation of the presence of AN may be improved by acquisition and cross-correlation of several MR parameters. This is illustrated in Figure 2 with a patchwork of different MR techniques used to determine one or more parameters responding to AN in the sheep hypothalamus during photoperiod. Also, all the knowledge accumulated to date of AN relies on reproducible immunohistochemical findings. Immunohistological-guided MR approaches must therefore be systematically conducted to validate the in vivo surrogate markers of AN since the different stages of AN remain invisible to macro-neuroimaging techniques. To illustrate this, rCBVmaps (Figure 2E) and their comparison in the hypothalamus of ewes show a significant increase during the short days of the year (Figure 2F) when AN was detected (Figure 1) (see Just et al., 2021b for methods). BOLD fMRI upon hypercapnic challenge (Figure 2H) during short days (Chevillard et al., 2021) and 1H-MRS (Figure 2I) of the hypothalamus demonstrated activation in hypothalamic areas and corresponded well to parallel changes in glutamate, respectively (Figure 2I). We developed a multiple MR experiment protocol in parallel to immunohistochemical experiments for cohorts of ewes of similar age to combine structural, functional, and metabolic MR techniques and histology and obtain quantitative and reliable surrogate markers of AN during environmental and physiological cues such as photoperiod. To our knowledge, this is one of the first studies of its kind. We used a cohort of ewes and a routine clinical MR scanner at 3T to determine the cross-sensitivity of VBM, BOLD-fMRI, vascular space occupancy (VASO), dynamic susceptibility contrast MRI, myelin MRI, and 1H-MRS to hypothalamic AN. All these MR techniques are widely used in the clinical setting. These examples were extracted from data, which are still under analysis but appear to show some consistent response among all the different MR modalities used with structural, functional, and hemodynamic changes occurring during the period of AN.

Diffusion-weighted MR methodologies

Diffusion MRI (dMRI) has become an inevitable neuroimaging technique, which has proven to be uniquely sensitive to the presence of various cell types (axons, dendrites, microtubules, and cell bodies) and their density, orientation, and permeability. dMRI provides unprecedented microstructural information on a micrometer scale enabling the investigation of underlying subtle microstructural changes in various disorders and physiological mechanisms. It represents therefore a technique of interest to investigate brain neuroplasticity both in animal models and in the clinical setting (Gatto, 2020). As for the other techniques mentioned above, dMRI has been used to investigate AN mainly in animals models (Vestergaard-Poulsen et al., 2011; Pérès et al., 2018). Vestergaard-Poulsen et al. (2011) demonstrated that dMRI of the hippocampus of rats undergoing chronic stress was able to detect change in water diffusion properties in cell layers of the DG, indicating sensitivity to neurogenesis. Since then, dMRI techniques have improved significantly, enabling increased sensitivity to ever smaller microstructural changes. New dMRI methods such as multidimensional MRI are able to disentangle individual microstructural features (Lundell et al., 2019), which could be powerful for recognizing new developing neurons from mature networks especially if the method is able to identify cell shape and cell size. Interestingly, these methodologies are not restricted to animal models or ex vivo investigations with direct possible applications to study the human brain. Finally, diffusion-weighted MR spectroscopy (DWS) uses the diffusion of endogenous metabolites to probe the microstructural features of the intracellular and extracellular spaces. DWS approaches have been shown to be very effective to probe the intra-neural space as well as astrocytic morphology with N-acetyl-aspartate (NAA), glutamate (Glu), and inositol (Ins) both in animal models and human subjects (Palombo et al., 2018; Lundell et al., 2019, 2021).

Magnetic resonance spectroscopy (MRS)

How brain metabolism influences AN is a question that had gained more and more insights during the past decade. In particular, neuroenergetic mechanisms controlling neural stem cells and progenitor cells and their differentiation, proliferation, and maturation require vast amounts of energy involving various steps and various metabolic mechanisms such as lipogenesis and mitochondrial activity (reviewed by Knobloch and Jessberger, 2017). Notably, It was shown that the balance between glycolysis and oxidative metabolism plays an important role in each stage of AN and may be linked with the development of vasculature. Moreover, an important regulation role for reactive oxygen species (ROS) was also identified during neural stem and progenitor cell (NPC) proliferation and differentiation processes.

Despite their non-invasiveness and translation potential, MRS investigations of AN have been rather limited to date. Studies by Manganas et al. (2007) attracted a lot of interest since the authors claimed to have found a biomarker of NPCs by proton MRS (1H-MRS). The methodology proposed by Manganas et al. (2007) went from in vitro measurement of the metabolism of NPC cells to their implantation in the hippocampus of rats and invivo1H-MRS measurement at 9.4 T. In 1H-MR spectra, a peak was found at 1.28 ppm, which was significantly elevated compared to control cells or control areas. The analysis of the chemical nature of the 1.28 ppm peak suggested that it could arise from lipid droplets during AN. Finally, measurements were performed on the hippocampus of healthy human subjects at 3 T. Unfortunately, important issues regarding the acquisition and analysis of their data were raised (Friedman, 2008).

Recently, Cherix et al. (2020) demonstrated the existence of a glycolytic switch in the in ovo avian retina related to neurogenesis. This study also illustrated how neurogenesis can remodel neuroenergetics and showed the value of MRS in this instance.

From a broader and translational perspective, we performed an 1H-MRS at 3 T of the hypothalamus of ewes during photoperiodism to identify potential changes in the neurochemical profile due to neurogenesis. Early results revealed significant changes in NAA, Glu (Figure 2), and Ins during the period of short days corresponding to AN compared to the period of long days (Just et al., 2021b). This preliminary study suggested that in vivo MRS is a promising tool to detect the presence of AN or its effects on gyrencephalic brains in the clinical setting. The large size of the voxel of interest prevents a more specific evaluation of neurogenic zones pointing to the need for scanning at higher field strengths and/or editing techniques for increased selectivity of the measured region. Other methodologies such as functional MRS (fMRS) and 31P-MRS could be of interest for investigating AN. For example, Koush et al. (2019) showed that j-edited fMRS at 4 T demonstrated good sensitivity and specificity for task-induced lactate modulation as well as for a smaller peak at 1.28 ppm in the motor cortex. These methodological developments could be useful for in vivo evaluation of the accumulated changes in lactate seen in other studies on neurogenesis (Prevot et al., 2018; Cherix et al., 2020).

Considerations on non-neurogenic processes in the adult brain

As mentioned at the beginning of this review, the existence of AN in the human brain remains controversial. In contrast to the well-accepted existence of hippocampal neurogenic niches (DG and SVZ) in the human brain [despite remaining controversies (Kempermann et al., 2018)], the existence of other remodeling plasticity processes is privileged (La Rosa et al., 2020). Over the past decade, despite the tremendous expectations behind the potential of AN for therapeutic strategies targeted at neurodegenerative, neuropsychiatric, and metabolic diseases, investigations have failed to demonstrate significant effects (Bonfanti and Peretto, 2011; La Rosa et al., 2020). These failures may be attributed to the restriction of AN to specific niches and its small quantitative effects as compared to synaptic plasticity, which has been demonstrated to be more consistent and to have important effects on brain damages. Structural and functional plasticity occurs because of modification of the number of synapses, restructuring of dendritic and axonal branches, gliogenesis, and modulation of already existing connections, and pre- and post-synaptic changes, respectively. Both the structural and functional forms of plasticity have been extensively studied with MRI techniques in the adult brain since they occur on a larger scale than AN, and identical mechanisms of synaptic plasticity can be observed in various animal brains as well as in the human brain. However, numerous investigations on synaptic plasticity mechanisms subsist (Martin et al., 2000). All an all, the analysis of the current literature on brain plasticity, whether based on AN or other mechanisms, points toward a need for more thorough, repeatable, and reproducible methodologies and analyses of the human hippocampus starting already from immunohistochemical studies (Kempermann et al., 2018). We also hypothesize that there is a lack of efficient tools to investigate AN in vivo and non-invasively in the human brain. Despite the fact that differences in AN development between rodents and humans are acknowledged, findings on rodent neurogenic niches continue to be a point of reference. This is again the case in the mini review of Kempermann et al. (2018). Therefore, other strategies need to be defined since the current neuroimaging spatial and temporal resolutions are limited in the human brain. Immunohistochemical-guided neuroimaging studies conducted on the brain of sheep with naturally occurring AN could prove useful in this instance.

Conclusion

Adult neurogenesis in the human brain has been described as a key process expected to tackle various neurodegenerative and metabolic diseases but remains controversial. Despite important advances on the topic, sparse developments have been made regarding specific in vivo measurements and translational neuroimaging. Here, we argued that an arsenal of MR techniques exists, which, combined with adequate animal models, could pave the way to resolving the controversy on the existence of AN in the human brain.

Author contributions

NJ wrote the manuscript. P-MC and MM edited, commented, and helped with the figures. All authors contributed to the article and approved the submitted version.

Funding

This work was funded by the Agence Nationale de la Recherche ANR-16-CE37-0006. NJ received research funding from the Lundbeck Foundation (Experiment grant, grant no. R370-2021-402).

Conflict of interest

The 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

Bálentová, S., Hnilicová, P., Kalenská, D., Murín, P., Hajtmanová, E., Lehotský, J., et al. (2017). Effect of whole-brain irradiation on the specific brain regions in a rat model: metabolic and histopathological changes. Neurotoxicology 60, 70–81. doi: 10.1016/j.neuro.2017.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergmann, O. J, Liebl, J., Bernard, S., Alkass, K., Yeung, M. S., Steier, P., et al. (2012). The age of olfactory bulb neurons in humans, Neuron, 74, 634–639.

PubMed Abstract | Google Scholar

Bonfanti, L., and Peretto, P. (2011). Adult neurogenesis in mammals–a theme with many variations. Eur. J. Neurosci. 34, 930–950. doi: 10.1111/j.1460-9568.2011.07832.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Butruille, L., Batailler, M., Mazur, D., Prévot, V., and Migaud, M. (2018). Seasonal reorganization of hypothalamic neurogenic niche in adult sheep. Brain Struct. Funct. 223, 91–109. doi: 10.1007/s00429-017-1478-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Sobczak, F., Chen, Y., Jiang, Y., Qian, C., Lu, Z., et al. (2019). Mappingoptogenetically-driven single-vessel fMRI with concurrent neuronal calcium recordings in the rat hippocampus. Nat. Commun. 10, 5239. doi: 10.1038/s41467-019-12850-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cherix, A., Brodier, L., Poitry-Yamate, C., Matter, J. M., and Gruetter, R. (2020). The appearance of the Warburg effect in the developing avian eye characterized in ovo: how neurogenesis can remodel neuroenergetics. Invest. Ophthalmol. Vis. Sci. 61, 3. doi: 10.1167/iovs.61.5.3

PubMed Abstract | CrossRef Full Text | Google Scholar

Chevillard, P. M., Batailler, M., Piégu, B., Estienne, A., Blache, M. C., Dubois, J. P., et al. (2022). Seasonal vascular plasticity in the mediobasal hypothalamus of the adult ewe. Histochem. Cell Biol. 157, 1–13. doi: 10.1007/s00418-022-02079-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Chevillard, P. M., Migaud, M., and Just, N. (2021). “Hypercapnic challenge, BOLD fMRI and immunohistochemistry to examine the in-vivo presence of adult neurogenesis in the sheep hypothalamus,” in Proceedings of the ISMRM, Virtual meeting, 2945.

Google Scholar

Clelland, C. D., Choi, M., Romberg, C., Clemenson, G. D. Jr, Fragniere, A., Tyers, P., Jessberger, S., et al. (2009). A functional role for adult hippocampal neurogenesis in spatial pattern separation. Science 325, 210–213. doi: 10.1126/science.1173215

PubMed Abstract | CrossRef Full Text | Google Scholar

Couillard-Despres, S., and Aigner, L. (2011). In vivo imaging of adult neurogenesis. Eur. J. Neurosci. 33, 1037–1044. doi: 10.1111/j.1460-9568.2011.07601.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Couillard-Despres, S., Vreys, R., Aigner, L., and Van der Linden, A. (2011). In vivo monitoring of adult neurogenesis in health and disease. Front. Neurosci. 5, 67. doi: 10.3389/fnins.2011.00067

PubMed Abstract | CrossRef Full Text | Google Scholar

Ella, A., Delgadillo, J. A., Chemineau, P., and Keller, M. (2017). Computation of a high-resolution MRI 3D stereotaxic atlas of the sheep brain. J. Comp. Neurol. 525, 676–692. doi: 10.1002/cne.24079

PubMed Abstract | CrossRef Full Text | Google Scholar

Eriksson, P. S., Perfilieva, E., Björk-Eriksson, T., Alborn, A. M., Nordborg, C., Peterson, D. A., et al. (1998). Neurogenesis in the adult human hippocampus. Nat. Med. 4, 1313–1317.

Google Scholar

Ernst, A., Alkass, K., Bernard, S., Salehpour, M., Perl, S., Tisdale, J., et al. (2014). Neurogenesis in the striatum of the adult human brain. Cell 156, 1072–1083. doi: 10.1016/j.cell.2014.01.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Fares, J., BouDiab, Z., Nabha, S., and Fares, Y. (2019). Neurogenesis in the adult hippocampus: history, regulation, and prospective roles. Int. J. Neurosci. 129, 598–611. doi: 10.1080/00207454.2018.1545771

PubMed Abstract | CrossRef Full Text | Google Scholar

Franklin, T. R., Wang, Z., Shin, J., Jagannathan, K., Suh, J. J., Detre, J. A., et al. (2013). A VBM study demonstrating 'apparent' effects of a single dose of medication on T1-weighted MRIs. Brain Struct. Funct. 218, 97–104. doi: 10.1007/s00429-012-0385-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedman, S.. (2008). Comment on “Magnetic resonance spectroscopy identifies neural progenitor cells in the live human brain”. Science 321, 640. doi: 10.1126/science.1153484

PubMed Abstract | CrossRef Full Text | Google Scholar

Gage, F. H.. (2019). Adultneurogenesis in mammals. Science 364, 827–828. doi: 10.1126/science.aav6885

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, L., Gao, T., Zeng, T., Huang, P., Wong, N. K., Dong, Z., et al. (2021). Blockade of Indoleamine 2, 3-dioxygenase 1 ameliorates hippocampal neurogenesis and BOLD-fMRI signals in chronic stress precipitated depression. Aging 13, 5875–5891. doi: 10.18632/aging.202511

PubMed Abstract | CrossRef Full Text | Google Scholar

Gatto, R.. (2020). Molecular and microstructural biomarkers of neuroplasticity in neurodegenerative disorders through preclinical and diffusion magnetic resonance imaging studies. J. Integr. Neurosci. 19, 571–592. doi: 10.31083/j.jin.2020.03.165

PubMed Abstract | CrossRef Full Text | Google Scholar

Ho, N. F., Hooker, J. M., Sahay, A., Holt, D. J., and Roffman, J. L. (2013). In vivo imaging of adult human hippocampal neurogenesis: progress, pitfalls and promise. Mol. Psychiatry 18, 404–416. doi: 10.1038/mp.2013.8

PubMed Abstract | CrossRef Full Text | Google Scholar

Jurkowski, M. P., Bettio, L. K., Woo, E., Patten, A., Yau, S. Y., et al. (2020). Beyond the hippocampus and the SVZ: adult neurogenesis throughout the brain. Front. Cell Neurosci. 14, 576444. doi: 10.3389/fncel.2020.576444

PubMed Abstract | CrossRef Full Text | Google Scholar

Just, N., Adriaensen, H., Ella, A., Chevillard, P. M., Batailler, M., Dubois, J. P., et al. (2021a). Blood oxygen level dependent fMRI and perfusion MRI in the sheep brain. Brain Res. 1760, 147390. doi: 10.1016/j.brainres.2021.147390

PubMed Abstract | CrossRef Full Text | Google Scholar

Just, N., Chevillard, P. M., and Migaud, M. (2021b). “Photoperiodic regulation of hypothalamic metabolism: a preliminary single voxel Magnetic Resonance Spectroscopy investigation at 3T,” in Proceedings of the Anuual Meeting of the ISMRM, Virtual meeting, 2229.

Google Scholar

Just, N., Xin, L., Frenkel, H., and Gruetter, R. (2013). Characterization of sustained BOLD activation in the rat barrel cortex and neurochemical consequences. Neuroimage 74, 343–351. doi: 10.1016/j.neuroimage.2013.02.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Kempermann, G., Gage, F. H., Aigner, L., Song, H., Curtis, M. A., Thuret, S., et al. (2018). Human adult neurogenesis: evidence and remaining questions. J. Cell Stem Cell 23, 25–30. doi: 10.1016/j.stem.2018.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Kida, I., and Hyder, F. (2006). Physiology of functional magnetic resonance imaging: energetics and function. Methods Mol. Med. 124, 175–195. doi: 10.1385/1-59745-010-3, 175

PubMed Abstract | CrossRef Full Text | Google Scholar

Killgore, W. D., Olson, E. A., and Weber, M. (2013). Physical exercise habits correlate with gray matter volume of the hippocampus in healthy adult humans. Sci. Rep. 3, 3457. doi: 10.1038/srep03457

PubMed Abstract | CrossRef Full Text | Google Scholar

Knobloch, M., and Jessberger, S. (2017). Metabolism and neurogenesis. Curr. Opin. Neurobiol. 42, 45–52. doi: 10.1016/j.conb.2016.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Koush, Y., de Graaf, R. A., Jiang, L., Rothman, D. L., and Hyder, F. (2019). Functional MRS with J-edited lactate in human motor cortex at 4T. Neuroimage 184, 101–108. doi: 10.1016/j.neuroimage.2018.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Kozareva, D. A., Cryan, J. F., and Nolan, Y. M. (2019). Born this way: hippocampal neurogenesis across the lifespan. Aging Cell 18, e13007. doi: 10.1111/acel.13007

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuhn, H. G., Eisch, A. J., Spalding, K., and Peterson, D. A. (2016). Detection and phenotypic characterization of adult neurogenesis. Cold Spring Harb. Perspect. Biol. 8, a025981. doi: 10.1101/cshperspect.a025981

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuhn, H. G., Toda, T., and Gage, F. H. (2018). Adult hippocampal neurogenesis: a coming-of-age story. J. Neurosci. 38, 10401–10410. doi: 10.1523/JNEUROSCI.2144-18.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

La Rosa, C., Parolisi, R., and Bonfanti, L. (2020). Brain structural plasticity: from adult neurogenesis to immature neurons. Front. Neurosci. 14, 75. doi: 10.3389/fnins.2020.00075

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, C. X., and Zhang, X. (2017). Whole body MRI of the non-human primate using a clinical 3T scanner: initial experiences. Quant. Imaging Med. Surg. 7, 267–275. doi: 10.21037/qims.2017.04.03

PubMed Abstract | CrossRef Full Text | Google Scholar

Lucassen, P. J., Fitzsimons, C. P., Salta, E., and Maletic-Savatic, M. (2020). Adult neurogenesis, human after all (again): classic, optimized, and future approaches. Behav. Brain Res. 381, 112458. doi: 10.1016/j.bbr.2019.112458

PubMed Abstract | CrossRef Full Text | Google Scholar

Lundell, H., Ingo, C., Dyrby, T. B., and Ronen, I. (2021). Cytosolic diffusivity and microscopic anisotropy of N-acetyl aspartate in human white matter with diffusion-weighted MRS at 7T. NMR Biomed. 34, e4304. doi: 10.1002/nbm.4304

PubMed Abstract | CrossRef Full Text | Google Scholar

Lundell, H., Nilsson, M., Dyrby, T. B., Parker, G. J. M., Cristinacce, P. L. H., Zhou, F. L., et al. (2019). Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail. Sci. Rep. 9, 9026. doi: 10.1038/s41598-019-45235-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Malpaux B, Migaud M, Tricoire H, Chemineau P.. (2001). Biology of mammalian photoperiodism and the critical role of the pineal gland and melatonin. J. Biol. Rhythms. 16, 336–347.

PubMed Abstract | Google Scholar

Manganas, L. N., Zhang, X., Li, Y., Hazel, R. D., Smith, S. D., Wagshul, M. E., et al. (2007). Magnetic resonance spectroscopy identifies neural progenitor cells in the live human brain. Science 318, 980–985. doi: 10.1126/science.1147851

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, S. J., Grimwood, P. D., and Morris, R. G. (2000). Synaptic plasticity and memory: an evaluation of the hypothesis. Annu. Rev. Neurosci. 23, 649–711. doi: 10.1146/annurev.neuro.23.1.649

PubMed Abstract | CrossRef Full Text | Google Scholar

Migaud, M., Butrille, L., and Batailler, M. (2015). Seasonal regulation of structural plasticity and neurogenesis in the adult mammalian brain: focus on the sheep hypothalamus. Front. Neuroendocrinol. 37, 146–157. doi: 10.1016/j.yfrne.2014.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Pajkert, A., Ploner, C. J., Lehmann, T. N., Witte, V. A., Oltmanns, F., Sommer, W., et al. (2020). Early volumetric changes of hippocampus and medial prefrontal cortex following medial temporal lobe resection. Eur. J. Neurosci. 52, 4375–4384. doi: 10.1111/ejn.14784

PubMed Abstract | CrossRef Full Text | Google Scholar

Palombo, M., Shemesh, N., Ronen, I., and Valette, J. (2018). Insights into brain microstructure from in vivo DW-MRS. Neuroimage 182, 97–116. doi: 10.1016/j.neuroimage.2017.11.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Pereira, A. C., Huddleston, D. E., Brickman, A. M., Sosunov, A. A., Hen, R., McKhann, G. M., et al. (2007). An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrus. Proc. Natl. Acad. Sci. U.S.A. 104, 5638–5643. doi: 10.1073/pnas.0611721104

PubMed Abstract | CrossRef Full Text | Google Scholar

Pérès, E. A., Etienne, O., Grigis, A., Boumezbeur, F., Boussin, F. D., and Le Bihan, D. (2018). Longitudinal study of irradiation-induced brain microstructural alterations with S-index, a diffusion MRI biomarker, and MR spectroscopy. Int. J. Radiat. Oncol. Biol. Phys. 102, 1244–1254. doi: 10.1016/j.ijrobp.2018.01.070

PubMed Abstract | CrossRef Full Text | Google Scholar

Prevot, V., Dehouck, B., Sharif, A., Ciofi, P., Giacobini, P., and Clasadonte, J. (2018). The versatile tanycyte: a hypothalamic integrator of reproduction and energy metabolism. Endocr. Rev. 39, 333–368. doi: 10.1210/er.2017-00235

PubMed Abstract | CrossRef Full Text | Google Scholar

Rutland, J. W., Brown, S., Verma, G., Feldman, R. E., Sharma, H., Markowitz, M., et al. (2019). Hippocampal subfield-specific connectivity findings in major depressive disorder: a 7 Tesla diffusion MRI study. J. Psychiatr. Res. 111, 186–192. doi: 10.1016/j.jpsychires.2019.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Sasaki, K., Sumiyoshi, A., Nonaka, H., Kasahara, Y., Ikeda, K., Hall, F. S., et al. (2015). Specific regions display altered grey matter volume in μ-opioid receptor knockout mice: MRI voxel-based morphometry. Br. J. Pharmacol. 172, 654–667. doi: 10.1111/bph.12807

PubMed Abstract | CrossRef Full Text | Google Scholar

Senova, S., Poupon, C., Dauguet, J., Stewart, H. J., Dugué, G. P., Jan, C., et al. (2018). Optogenetic tractography for anatomo-functional characterization of cortico-subcortical neural circuits in non-human primates. Sci. Rep. 8, 3362. doi: 10.1038/s41598-018-21486-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Sierra, A., Encinas, J. M., and Maletic-Savatic, M. (2011). Adult human neurogenesis: from microscopy to magnetic resonance imaging. Front. Neurosci. 5, 47. doi: 10.3389/fnins.2011.00047

PubMed Abstract | CrossRef Full Text | Google Scholar

Sierra, A., Gröhn, O., and Pitkänen, A. (2015). Imaging microstructural damage and plasticity in the hippocampus during epileptogenesis. Neuroscience 309, 162–172. doi: 10.1016/j.neuroscience.2015.04.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Sorrells, S. F., Paredes, M. F., Cebrian-Silla, A., Sandoval, K., Qi, D., Kelley, K. W., et al. (2018). Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults. Nature 555, 377–381. doi: 10.1038/nature25975

PubMed Abstract | CrossRef Full Text | Google Scholar

Spalding, K. L., Bergmann, O., Alkass, K., Bernard, S., Salehpour, M., Huttner, H. B., et al. (2013). Dynamics of hippocampal neurogenesis in adult humans. Cell 153, 1219–1227. doi: 10.1016/j.cell.2013.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Steventon, J. J., Foster, C., Furby, H., Helme, D., Wise, R. G., and Murphy, K. (2020). Hippocampal blood flow is increased after 20 min of moderate-intensity exercise. Cereb. Cortex 30, 525–533. doi: 10.1093/cercor/bhz104

PubMed Abstract | CrossRef Full Text | Google Scholar

Taupin, P.. (2009). Magnetic resonance imaging for monitoring neurogenesis in the adult hippocampus. Expert Opin. Med. Diagn. 3, 211–216. doi: 10.1517/13543770902735816

PubMed Abstract | CrossRef Full Text | Google Scholar

Toda, T., and Gage, F. H. (2018). Review: adult neurogenesis contributes to hippocampal plasticity. Cell Tissue Res. 373, 693–709. doi: 10.1007/s00441-017-2735-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Treit, S., Steve, T., Gross, D. W., and Beaulieu, C. (2018). High resolution in-vivo diffusion imaging of the human hippocampus. Neuroimage 182, 479–487. doi: 10.1016/j.neuroimage.2018.01.034

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Marel, K., Bouet, V., Meerhoff, G. F., Freret, T., Boulouard, M., Dauphin, F., et al. (2015). Effects of long-term methylphenidate treatment in adolescent and adult rats on hippocampal shape, functional connectivity and adult neurogenesis. Neuroscience 309, 243–258. doi: 10.1016/j.neuroscience.2015.04.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Vestergaard-Poulsen, P., Wegener, G., Hansen, B., Bjarkam, C. R., Blackband, S. J., Nielsen, N. C., et al. (2011). Diffusion-weighted MRI and quantitative biophysical modeling of hippocampal neurite loss in chronic stress. PLoS ONE 6, e20653. doi: 10.1371/journal.pone.0020653

PubMed Abstract | CrossRef Full Text | Google Scholar

Yassa, M. A., and Stark, C. E. (2011). Pattern separation in the hippocampus. Trends Neurosci. 34, 515–525. doi: 10.1016/j.tins.2011.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W., Gu, G. J., Zhang, Q., Liu, J. H., Zhang, B., Guo, Y., et al. (2017). NSCs promote hippocampal neurogenesis, metabolic changes and synaptogenesis in APP/PS1 transgenic mice. Hippocampus 27, 1250–1263. doi: 10.1002/hipo.22794

PubMed Abstract | CrossRef Full Text | Google Scholar

Zitella, L. M., Xiao, Y., Teplitzky, B. A., Kastl, D. J., Duchin, Y., Baker, K. B., et al. (2015). In vivo 7T MRI of the non-human primate brainstem. PLoS ONE 10, e0127049. doi: 10.1371/journal.pone.0127049

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: adult neurogenesis, MRI, animal models, human brain, controversy, diffusion, MRS

Citation: Just N, Chevillard P and Migaud M (2022) Imaging and spectroscopic methods to investigate adult neurogenesis in vivo: New models and new avenues. Front. Neurosci. 16:933947. doi: 10.3389/fnins.2022.933947

Received: 01 May 2022; Accepted: 11 July 2022;
Published: 05 August 2022.

Edited by:

Xi-Nian Zuo, Beijing Normal University, China

Reviewed by:

Vassiliy Tsytsarev, University of Maryland, College Park, United States

Copyright © 2022 Just, Chevillard and Migaud. 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: Nathalie Just, nathaliej@drcmr.dk

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