Xue Tao
Ruifeng Sun
Conglin Han
Weijun Gong- 1Department of Research, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
- 2Beijing Rehabilitation Medicine Academy, Capital Medical University, Beijing, China
- 3Rehabilitation Medicine Academy, Weifang Medical University, Weifang, China
- 4Department of Neurological Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
Introduction
With the increase in human life expectancy, the problem of population aging is becoming a growing burden. According to the 2022 World Population Outlook reported by the United Nations, the proportion of people aged 65 or older is expected to grow from 10% in 2022 to 16% in 2050 (United Nations Department of Economic Social Affairs Population Division, 2022). However, the health span or disease-free lifespan has not increased as much as the lifespan (Crimmins, 2015). On average, 16–20% of older adults suffer from aging-related disease or dysfunction (Partridge et al., 2018), which is characterized by a gradual loss of normal physiological function with advancing age. Therefore, human aging-related health problems are the focus and difficulty in the field of medical research. It can damage the perceptual, motor, and cognitive functions, among which cognitive impairment mainly affects patients' activities of daily living and reduces the quality of life (Leuner et al., 2007). At present, there is a lack of effective intervention methods for aging-related cognitive impairment (ARCI), and traditional intervention methods have varying degrees of limitations (van der Steen et al., 2018). Therefore, it is crucial to find an effective intervention method to improve ARCI. In recent years, studies have found that cognitive-motor dual task (CMDT) training exhibits more benefits on ARCI than traditional single-task training (Gheysen et al., 2018; Joubert and Chainay, 2018).
To that end, this paper proposes a look into the definition, clinical features and current intervention of ARCI, the concrete application status, prospect and challenges of CMDT training. These insights allow a more sophisticated understanding of CMDT training and its impact on the ARCI, allowing us to understand how CMDT training compares with other types of interventions in ARCI.
Aging-related cognitive impairment
Aging is a normal and complex physiological process characterized by a steady decline in various neurophysiological functions, which in turn leads to various physical dysfunctions, including cognitive impairment (Juan and Adlard, 2019). Cognition is the mental activity or process of acquiring knowledge and understanding through thought, experience, and the senses, involving complex information processing, planning, and reasoning (Alchalabi and Prather, 2021). With aging, older adults experience significant declines in cognitive function in terms of processing speed, working memory, and inhibitory control (Hedden and Gabrieli, 2004; Kirova et al., 2015). ARCI may be related to aging in brain structure (gray matter atrophy and reducing, ventricular expansion of white matter, age-related decline in cortical thickness and volume, and constriction of the hippocampus and cerebellum), changes in neurons (neuronal atrophy, spinal narrow, synapse reductions, axon), brain gene expression changes and some conservative biological signaling pathways (Raz et al., 2005; Fjell and Walhovd, 2010; Storsve et al., 2014; Tatti et al., 2016; Bettio et al., 2017). Declines or impairments of resting-state functional connectivity in the superior and middle frontal gyri, posterior cingulate cortex, right insula and inferior parietal lobule are reported to be related to aging (Cera et al., 2019; Li et al., 2021). Although, to some extent, cognitive decline is considered a normal consequence of the aging process, continued progression of cognitive decline inevitably interferes with normal activities of daily living and has the potential to deteriorate into dementia (Harada et al., 2013).
Current interventions for ARCI
If cognitive impairment in the elderly is left untreated, it may not only worsen to dementia, but may also more severely deprive the elderly of their wellbeing and shorten their life span (Baldwin and Greenwood, 2019). Therefore, we need to actively intervene to prevent and improve ARCI. However, there is a lack of effective interventions for ARCI. Commonly used treatments include pharmacological and non-pharmacological interventions. A large number of clinical studies have been done on pharmacological interventions, however, according to a systematic review of 51 trials, the current evidence is not sufficient to prove that any pharmacological intervention (including dementia drugs, anti-inflammatory drugs, hormones, anti-hypertensives, anti-diabetics, lipid-lowering drugs) is effective in preventing or delaying cognitive decline and improving mild cognitive impairment (Fink et al., 2018). On the contrary, some non-pharmacological interventions such as cognitive training (including traditional cognitive training and computer-assisted cognitive function training), motor training, and non-invasive brain stimulation techniques have shown varying degrees of improvement (Kelly et al., 2014; Hsu et al., 2015; Falck et al., 2019). Unfortunately, all these interventions have limited intervention effects or limited application scenarios. In recent years, many researchers have suggested that cognitive training and motor training may have synergistic effects in improving cognitive function and brain structure (Lauenroth et al., 2016; Wollesen et al., 2020). CMDT training has emerged as an intervention strategy that combines cognitive and motor training. It has been shown that CMDT training may be more effective as an effective combined intervention than a single training modality (Pellegrini-Laplagne et al., 2022).
Research status of CMDT training as an intervention for ARCI
Traditional cognitive rehabilitation training has many limitations in terms of efficacy and implementation. As a new intervention, CMDT training has shown promising results in the rehabilitation of cognitive disorders of various etiologies. CMDT training has been reported to be more effective in improving cognitive function compared to single training modalities such as traditional cognitive training or motor training (Oswald et al., 2006; Gallou-Guyot et al., 2020b). In stroke survivors with vascular cognitive impairment, the combined intervention produced greater benefits on cognitive function compared to single training (Bo et al., 2019). CMDT training in Parkinson's disease cognitive impairment also significantly improved cognition (Pereira-Pedro et al., 2022). A systematic review by Ali et al. (2022) showed that CMDT training is an effective non-pharmacological intervention to improve global cognitive function in ARCI, particularly in the cognitive domains of executive function, attention, and memory function. Especially in the mild cognitive impairment stage of ARCI, some meta-analyses show that CMDT training is very effective in improving the global cognitive function, memory, executive function, emotion, and other advanced cognitive function and activities of daily living of patients (Law et al., 2014; Zhu et al., 2016). CMDT training was similarly found to have better maintenance of cognitive function in healthy older adults with long-term effects in subjects (Zhu et al., 2016).
There are mainly two classification methods of CMDT training. One is classified according to the intervention mode into simultaneous training (cognitive training and motor training at the same time) and sequential training (cognitive and motor training in sequence, including motor training followed by cognitive training and cognitive training followed by motor training) (Oswald et al., 2006; Legault et al., 2011; Barcelos et al., 2015). The other is to combine different cognitive exercises with one or more different motor exercises, depending on the training content. In general, cognitive training includes different cognitive training elements such as traditional cognitive training, computer-assisted cognitive training, or cognitive function training related to daily life and games (Callisaya et al., 2021; Jardim et al., 2021). Motor training mostly refers to different motor training elements such as aerobic exercise, resistance exercise, or physical and mental exercise (Lauenroth et al., 2016; Li et al., 2022).
There are fewer studies on intervention mechanisms related to CMDT training, and two kinds of intervention mechanisms are generally recognized at present. One is the reciprocal stimulation of neuroplasticity (Wollesen et al., 2020). It has been shown that CMDT training may produce a combined effect of motor training and cognitive training (Eduard Kraft, 2012). Simultaneous performance of both types of training may provide complementary enhancement in terms of increased neurogenesis, synapse formation, promotion of cerebral vascular regeneration, increased blood flow, and enhanced plasticity in the aging brain (Olson et al., 2006; Fabel et al., 2009; Kempermann, 2015). Another view is that cognitive training may be a good guide to the changes in neuronal or brain structure produced by motor training. Motor training is thought to contribute to synaptic plasticity and cell proliferation, while cognitive training guides these newborn neurons into synapses with pre-existing neural networks (Curlik and Shors, 2013; Fissler et al., 2013; Bamidis et al., 2014). The findings suggest that exercise training induces an increase in cerebral blood flow, which in turn increases cerebral metabolic (oxygen, glucose) and neurochemical (dopamine, neurotrophins) activity (Pichierri et al., 2011; Schaefer and Schumacher, 2011). Exercise training also induces the expression of brain-derived neurotrophic factors in the hippocampus, where BDNF enhances brain plasticity by promoting neurogenesis, cell proliferation, and synapse formation in the hippocampus and angiogenesis in other brain regions (Vaynman et al., 2004; Adlard et al., 2005; van Praag, 2009; Wang and Holsinger, 2018). Compared to single exercise training, cognitive training in CMDT training may be more beneficial in translating the exercise-related neurobiochemical and physiological effects into better cognitive performance. (Lauenroth et al., 2016).
As a good intervention for ARCI, we should know more about CMDT
At present, CMDT training is an important intervention to improve ARCI. A great deal of evidence shows that CMDT training is more effective than single-task training, especially in terms of executive function and attention. The application scenarios and implementation forms of CMDT training are relatively flexible. For ARCI, the application scenarios are mostly community or home scenarios with rich environmental stimulation (Eduard Kraft, 2012). At the same time, more and more studies are devoted to the development of intervention methods that combine games with daily activities, which are suitable for more life-oriented scenarios (Gallou-Guyot et al., 2020a). This approach can not only save medical resources but also help the elderly to achieve better prevention and treatment results in daily life activities and daily living environment. According to the rich environment theory, we suggest that CMDT training should involve multiple cognitive areas and be combined with daily life activities, active social activities, and so on.
Of course, the deficiency of this kind of intervention remains. Firstly, in the current situation of extremely diverse intervention methods, there are relative problems such as insufficient standardization of intervention model, unclear optimal intervention dose, and so on (Zhu et al., 2016; Ali et al., 2022). While developing more and more novel intervention methods, we should further determine the best duration, frequency, intervention type, and combination mode, and formulate more standardized standards (Karssemeijer et al., 2017). Secondly, the results of the current studies are mostly pre- and post-intervention comparisons, lacking follow-up or inconsistent follow-up outcomes. And it is unclear whether the effectiveness of the intervention effect lasts (Callisaya et al., 2021; Li et al., 2022). More cohort studies with higher quality and longer time spans should be designed in the future to explore the long-term effectiveness and outcome reliability of CMDT intervention strategies.
Although CMDT training has been in clinical research for many years, the corresponding intervention mechanism is still in its infancy. In particular, there is a lack of research on the activation of cognitive-related functional brain regions and the underlying neurobiological pathways. The current studies have found that exercise-induced changes in functional brain activation in parietal regions (precuneus, superior and inferior parietal lobule, cingulate gyrus, and posterior cingulate) and associated networks (frontoparietal network, dorsal attention network, and default mode network) may mediate exercise-induced cognition enhancement (Schmitt et al., 2019; Yu et al., 2021). Cognitive training is associated with the frontoparietal network of cognitive control processes, including the posterior parietal cortex and the middle frontal gyrus (Duda and Sweet, 2020). Considering the positive results of a single intervention, CMDT training may be an ideal choice for ARCI (Intzandt et al., 2021). However, there is a lack of research on the relationship between CMDT training and changes in cognitive neuro-brain functional networks. In the future, CMDT training-related neuroimaging measures and molecular marker studies will be important tools to explore the physiological mechanisms underlying this positive effect.
Concluding remarks
Through the analysis and summary of the literature, we have found that the prevention and treatment of ARCI are facing great challenges in the current society. On this basis, we advocate CMDT training, a multi-domain related rehabilitation strategy, and affirm its effectiveness for ARCI through a literature review. It superimposes and strengthens the effects of the two kinds of training and complements and guides each other, so it is an intervention method worthy of further research and promotion. In addition, we discussed the strengths and weaknesses of dual-task training as an intervention for ARCI, as well as its application prospects and challenges. In a word, for ARCI, CMDT training is a promising intervention method with convenient and effective, low cost, high efficiency, and multi-scene application. The standardization of its clinical application and its internal mechanisms deserve further study.
Author contributions
XT and WG design this paper. XT, RS, and CH wrote the first draft. WG revised the manuscript. All authors contributed to the conception and design of the work and approved the submitted version.
Funding
The study was supported by Capital's Funds for Health Improvement and Research (2022-1-2251), the National Natural Science Foundation of China (81972148), and the Natural Science Foundation of Beijing (7222101).
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
Adlard, P. A., Perreau, V. M., and Cotman, C. W. (2005). The exercise-induced expression of BDNF within the hippocampus varies across life-span. Neurobiol. Aging. 26, 511–520. doi: 10.1016/j.neurobiolaging.2004.05.006
Alchalabi, T., and Prather, C. (2021). Brain health. Clin. Geriatr. Med. 37, 593–604. doi: 10.1016/j.cger.2021.05.006
Ali, N., Tian, H., Thabane, L., Ma, J., Wu, H., Zhong, Q., et al. (2022). The effects of dual-task training on cognitive and physical functions in older adults with cognitive impairment; a systematic review and meta-analysis. J. Prev. Alzheimers Dis. 9, 359–370. doi: 10.14283/jpad.2022.16
Baldwin, C. L., and Greenwood, P. M. (2019). Editorial: cognitive and brain aging: interventions to promote well-being in old age. Front. Aging Neurosci. 11, 353. doi: 10.3389/fnagi.2019.00353
Bamidis, P. D., Vivas, A. B., Styliadis, C., Frantzidis, C., Klados, M., Schlee, W., et al. (2014). A review of physical and cognitive interventions in aging. Neurosci. Biobehav. Rev. 44, 206–220. doi: 10.1016/j.neubiorev.2014.03.019
Barcelos, N., Shah, N., Cohen, K., Hogan, M. J., Mulkerrin, E., Arciero, P. J., et al. (2015). Aerobic and cognitive exercise (ACE) pilot study for older adults: executive function improves with cognitive challenge while exergaming. J. Int. Neuropsychol. Soc. 21, 768–779. doi: 10.1017/S1355617715001083
Bettio, L. E. B., Rajendran, L., and Gil-Mohapel, J. (2017). The effects of aging in the hippocampus and cognitive decline. Neurosci. Biobehav. Rev. 79, 66–86. doi: 10.1016/j.neubiorev.2017.04.030
Bo, W., Lei, M., Tao, S., Jie, L. T., Qian, L., Lin, F. Q., et al. (2019). Effects of combined intervention of physical exercise and cognitive training on cognitive function in stroke survivors with vascular cognitive impairment: a randomized controlled trial. Clin. Rehabil. 33, 54–63. doi: 10.1177/0269215518791007
Callisaya, M. L., Jayakody, O., Vaidya, A., Srikanth, V., Farrow, M., and Delbaere, K. (2021). A novel cognitive-motor exercise program delivered via a tablet to improve mobility in older people with cognitive impairment - StandingTall Cognition and Mobility. Exp. Gerontol. 152, 111434. doi: 10.1016/j.exger.2021.111434
Cera, N., Esposito, R., Cieri, F., and Tartaro, A. (2019). Altered cingulate cortex functional connectivity in normal aging and mild cognitive impairment. Front. Neurosci. 13, 857. doi: 10.3389/fnins.2019.00857
Crimmins, E. M. (2015). Lifespan and healthspan: past, present, and promise. Gerontologist 55, 901–911. doi: 10.1093/geront/gnv130
Curlik, D. M., and Shors, T. J. (2013). Training your brain: Do mental and physical (MAP) training enhance cognition through the process of neurogenesis in the hippocampus? Neuropharmacology. 64, 506–514. doi: 10.1016/j.neuropharm.2012.07.027
Duda, B. M., and Sweet, L. H. (2020). Functional brain changes associated with cognitive training in healthy older adults: a preliminary ALE meta-analysis. Brain Imaging Behav. 14, 1247–1262. doi: 10.1007/s11682-019-00080-0
Eduard Kraft. (2012). Cognitive function, physical activity, and aging: Possible biological links and implications for multimodal interventions. Aging, Neuropsychol Cognition. 19:1-2, 248–263, doi: 10.1080/13825585.2011.645010
Fabel, K., Wolf, S. A., Ehninger, D., Babu, H., Leal-Galicia, P., and Kempermann, G. (2009). Additive effects of physical exercise and environmental enrichment on adult hippocampal neurogenesis in mice. Front. Neurosci. 3, 50. doi: 10.3389/neuro.22.002.2009
Falck, R. S., Davis, J. C., Best, J. R., Crockett, R. A., and Liu-Ambrose, T. (2019). Impact of exercise training on physical and cognitive function among older adults: a systematic review and meta-analysis. Neurobiol. Aging. 79, 119–130. doi: 10.1016/j.neurobiolaging.2019.03.007
Fink, H. A., Jutkowitz, E., McCarten, J. R., Hemmy, L. S., Butler, M., Davila, H., et al. (2018). Pharmacologic interventions to prevent cognitive decline, mild cognitive impairment, and clinical Alzheimer-type dementia: a systematic review. Ann. Intern. Med. 168, 39–51. doi: 10.7326/M17-1529
Fissler, P., Küster, O., Schlee, W., and Kolassa, I.-T. (2013). Novelty interventions to enhance broad cognitive abilities and prevent dementia: synergistic approaches for the facilitation of positive plastic change. Prog. Brain Res. 207, 403–434. doi: 10.1016/B978-0-444-63327-9.00017-5
Fjell, A. M., and Walhovd, K. B. (2010). Structural brain changes in aging: courses, causes and cognitive consequences. Rev. Neurosci. 21, 187–221. doi: 10.1515/revneuro.2010.21.3.187
Gallou-Guyot, M., Mandigout, S., Bherer, L., and Perrochon, A. (2020a). Effects of exergames and cognitive-motor dual-task training on cognitive, physical and dual-task functions in cognitively healthy older adults: An overview. Ageing Res. Rev. 63, 101135. doi: 10.1016/j.arr.2020.101135
Gallou-Guyot, M., Mandigout, S., Combourieu-Donnezan, L., Bherer, L., and Perrochon, A. (2020b). Cognitive and physical impact of cognitive-motor dual-task training in cognitively impaired older adults: an overview. Neurophysiol. Clin. 50, 441–453. doi: 10.1016/j.neucli.2020.10.010
Gheysen, F., Poppe, L., DeSmet, A., Swinnen, S., Cardon, G., De Bourdeaudhuij, I., et al. (2018). Physical activity to improve cognition in older adults: can physical activity programs enriched with cognitive challenges enhance the effects? A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 15, 63. doi: 10.1186/s12966-018-0697-x
Harada, C. N., Natelson Love, M. C., and Triebel, K. L. (2013). Normal cognitive aging. Clin. Geriatr. Med. 29, 737–752. doi: 10.1016/j.cger.2013.07.002
Hedden, T., and Gabrieli, J. D. E. (2004). Insights into the ageing mind: a view from cognitive neuroscience. Nat. Rev. Neurosci. 5, 87–96. doi: 10.1038/nrn1323
Hsu, W.-Y., Ku, Y., Zanto, T. P., and Gazzaley, A. (2015). Effects of noninvasive brain stimulation on cognitive function in healthy aging and Alzheimer's disease: a systematic review and meta-analysis. Neurobiol. Aging 36, 2348–2359. doi: 10.1016/j.neurobiolaging.2015.04.016
Intzandt, B., Vrinceanu, T., Huck, J., Vincent, T., Montero-Odasso, M., Gauthier, C. J., et al. (2021). Comparing the effect of cognitive vs. exercise training on brain MRI outcomes in healthy older adults: a systematic review. Neurosci. Biobehav. Rev 128, 511–533. doi: 10.1016/j.neubiorev.2021.07.003
Jardim, N. Y. V., Bento-Torres, N. V. O., Costa, V. O., Carvalho, J. P. R., Pontes, H. T. S., Tomás, A. M., et al. (2021). Dual-task exercise to improve cognition and functional capacity of healthy older adults. Front. Aging Neurosci. 13, 589299. doi: 10.3389/fnagi.2021.589299
Joubert, C., and Chainay, H. (2018). Aging brain: the effect of combined cognitive and physical training on cognition as compared to cognitive and physical training alone - a systematic review. Clin. Interv. Aging 13, 1267–1301. doi: 10.2147/CIA.S165399
Juan, S. M. A., and Adlard, P. A. (2019). Ageing and cognition. Subcell. Biochem. 91, 107–122. doi: 10.1007/978-981-13-3681-2_5
Karssemeijer, E. G. A., Aaronson, J. A., Bossers, W. J., Smits, T., Olde Rikkert, M. G. M., and Kessels, R. P. C. (2017). Positive effects of combined cognitive and physical exercise training on cognitive function in older adults with mild cognitive impairment or dementia: a meta-analysis. Ageing Res. Rev. 40, 75–83. doi: 10.1016/j.arr.2017.09.003
Kelly, M. E., Loughrey, D., Lawlor, B. A., Robertson, I. H., Walsh, C., and Brennan, S. (2014). The impact of cognitive training and mental stimulation on cognitive and everyday functioning of healthy older adults: a systematic review and meta-analysis. Ageing Res. Rev. 15, 28–43. doi: 10.1016/j.arr.2014.02.004
Kempermann, G. (2015). Activity dependency and aging in the regulation of adult neurogenesis. Cold Spring Harb. Perspect. Biol. 7, a018929. doi: 10.1101/cshperspect.a018929
Kirova, A.-M., Bays, R. B., and Lagalwar, S. (2015). Working memory and executive function decline across normal aging, mild cognitive impairment, and Alzheimer's disease. Biomed Res. Int. 2015, 748212. doi: 10.1155/2015/748212
Lauenroth, A., Ioannidis, A. E., and Teichmann, B. (2016). Influence of combined physical and cognitive training on cognition: a systematic review. BMC Geriatr. 16, 141. doi: 10.1186/s12877-016-0315-1
Law, L. L. F., Barnett, F., Yau, M. K., and Gray, M. A. (2014). Effects of combined cognitive and exercise interventions on cognition in older adults with and without cognitive impairment: a systematic review. Ageing Res. Rev. 15, 61–75. doi: 10.1016/j.arr.2014.02.008
Legault, C., Jennings, J. M., Katula, J. A., Dagenbach, D., Gaussoin, S. A., Sink, K. M., et al. (2011). Designing clinical trials for assessing the effects of cognitive training and physical activity interventions on cognitive outcomes: the Seniors Health and Activity Research Program Pilot (SHARP-P) study, a randomized controlled trial. BMC Geriatr. 11, 27. doi: 10.1186/1471-2318-11-27
Leuner, K., Hauptmann, S., Abdel-Kader, R., Scherping, I., Keil, U., Strosznajder, J. B., et al. (2007). Mitochondrial dysfunction: the first domino in brain aging and Alzheimer's disease? Antioxid. Redox Signal. 9, 1659–1675. doi: 10.1089/ars.2007.1763
Li, F., Harmer, P., Fitzgerald, K., and Winters-Stone, K. (2022). A cognitively enhanced online Tai Ji Quan training intervention for community-dwelling older adults with mild cognitive impairment: A feasibility trial. BMC Geriatr. 22, 76. doi: 10.1186/s12877-021-02747-0
Li, X., Fischer, H., Manzouri, A., Månsson, K. N. T., and Li, T. Q. A. (2021). A quantitative data-driven analysis framework for resting-state functional magnetic resonance imaging: a study of the impact of adult age. Front Neurosci. 20, 768418. doi: 10.3389/fnins.2021.768418
Olson, A. K., Eadie, B. D., Ernst, C., and Christie, B. R. (2006). Environmental enrichment and voluntary exercise massively increase neurogenesis in the adult hippocampus via dissociable pathways. Hippocampus. 16, 250–260. doi: 10.1002/hipo.20157
Oswald, W. D., Gunzelmann, T., Rupprecht, R., and Hagen, B. (2006). Differential effects of single versus combined cognitive and physical training with older adults: the SimA study in a 5-year perspective. Eur. J. Ageing. 3, 179. doi: 10.1007/s10433-006-0035-z
Partridge, L., Deelen, J., and Slagboom, P. E. (2018). Facing up to the global challenges of ageing. Nature. 561, 45–56. doi: 10.1038/s41586-018-0457-8
Pellegrini-Laplagne, M., Dupuy, O., Sosner, P., and Bosquet, L. (2022). Acute effect of a simultaneous exercise and cognitive task on executive functions and prefrontal cortex oxygenation in healthy older adults. Brain Sci. 12, 455. doi: 10.3390/brainsci12040455
Pereira-Pedro, K. P., de Oliveira, I. M., Mollinedo-Cardalda, I., and Cancela-Carral, J. M. (2022). Effects of cycling dual-task on cognitive and physical function in parkinson's disease: a randomized double-blind pilot study. Int. J. Environ. Res. Public Health. 19, 7847. doi: 10.3390/ijerph19137847
Pichierri, G., Wolf, P., Murer, K., and de Bruin, E. D. (2011). Cognitive and cognitive-motor interventions affecting physical functioning: a systematic review. BMC Geriatr. 11, 29. doi: 10.1186/1471-2318-11-29
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., et al. (2005). Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb. Cortex. 15, 1676–1689. doi: 10.1093/cercor/bhi044
Schaefer, S., and Schumacher, V. (2011). The interplay between cognitive and motor functioning in healthy older adults: findings from dual-task studies and suggestions for intervention. Gerontology. 57, 239–246. doi: 10.1159/000322197
Schmitt, A., Martin, J. A., Rojas, S., Vafa, R., Scheef, L., Strüder, H. K., et al. (2019). Effects of low- and high-intensity exercise on emotional face processing: an fMRI face-matching study. Soc. Cogn. Affect. Neurosci. 14, 657–665. doi: 10.1093/scan/nsz042
Storsve, A. B., Fjell, A. M., Tamnes, C. K., Westlye, L. T., Overbye, K., Aasland, H. W., et al. (2014). Differential longitudinal changes in cortical thickness, surface area and volume across the adult life span: regions of accelerating and decelerating change. J. Neurosci. 34, 8488–8498. doi: 10.1523/JNEUROSCI.0391-14.2014
Tatti, E., Rossi, S., Innocenti, I., Rossi, A., and Santarnecchi, E. (2016). Non-invasive brain stimulation of the aging brain: State of the art and future perspectives. Ageing Res. Rev. 29, 66–89. doi: 10.1016/j.arr.2016.05.006
United Nations Department of Economic and Social Affairs and Population Division. (2022). World Population Prospects 2022: Summary of Results
van der Steen, J. T., Smaling, H. J., van der Wouden, J. C., Bruinsma, M. S., Scholten, R. J., and Vink, A. C. (2018). Music-based therapeutic interventions for people with dementia. Cochrane Database Syst. Rev. 7, CD003477. doi: 10.1002/14651858.CD003477.pub4
van Praag, H. (2009). Exercise and the brain: something to chew on. Trends Neurosci. 32, 283–290. doi: 10.1016/j.tins.2008.12.007
Vaynman, S., Ying, Z., and Gomez-Pinilla, F. (2004). Hippocampal BDNF mediates the efficacy of exercise on synaptic plasticity and cognition. Eur. J. Neurosci. 20, 2580–2590. doi: 10.1111/j.1460-9568.2004.03720.x
Wang, R., and Holsinger, R. M. D. (2018). Exercise-induced brain-derived neurotrophic factor expression: Therapeutic implications for Alzheimer's dementia. Ageing Res. Rev. 48, 109–121. doi: 10.1016/j.arr.2018.10.002
Wollesen, B., Wildbredt, A., van Schooten, K. S., Lim, M. L., and Delbaere, K. (2020). The effects of cognitive-motor training interventions on executive functions in older people: a systematic review and meta-analysis. Eur. Rev. Aging Phys. Act. 17, 9. doi: 10.1186/s11556-020-00240-y
Yu, Q., Herold, F., Becker, B., Klugah-Brown, B., Zhang, Y., Perrey, S., et al. (2021). Cognitive benefits of exercise interventions: an fMRI activation likelihood estimation meta-analysis. Brain Struct. Funct. 226, 601–619. doi: 10.1007/s00429-021-02247-2
Keywords: aging-related cognitive impairment, cognitive-motor dual task, non-pharmacological interventions, clinical application, mechanisms
Citation: Tao X, Sun R, Han C and Gong W (2022) Cognitive-motor dual task: An effective rehabilitation method in aging-related cognitive impairment. Front. Aging Neurosci. 14:1051056. doi: 10.3389/fnagi.2022.1051056
Received: 22 September 2022; Accepted: 05 October 2022;
Published: 18 October 2022.
Edited by:
Ping Zhou, University of Health and Rehabilitation Sciences, ChinaReviewed by:
Jung Hung Chien, Independent Researcher, Omaha, United StatesXin Wang, Department of Physical Medicine and Rehabilitation and Harvard Medical School, United States
Copyright © 2022 Tao, Sun, Han and Gong. 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: Weijun Gong, gwj197104@ccmu.edu.cn
†These authors have contributed equally to this work and share first authorship