{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T19:49:54Z","timestamp":1768420194060,"version":"3.49.0"},"reference-count":57,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002261","name":"Russian Foundation for Basic Research","doi-asserted-by":"publisher","award":["19-52-55001"],"award-info":[{"award-number":["19-52-55001"]}],"id":[{"id":"10.13039\/501100002261","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Russian Leading Scientific School Support","award":["NSH-589.2022.1.2"],"award-info":[{"award-number":["NSH-589.2022.1.2"]}]},{"name":"Russian Federal Academic Leadership Program Priority 2030 at the Immanuel Kant Baltic Federal University","award":["Priority 2030"],"award-info":[{"award-number":["Priority 2030"]}]},{"name":"state assignment","award":["FZWM-2020-0013"],"award-info":[{"award-number":["FZWM-2020-0013"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Large-scale functional connectivity is an important indicator of the brain\u2019s normal functioning. The abnormalities in the connectivity pattern can be used as a diagnostic tool to detect various neurological disorders. The present paper describes the functional connectivity assessment based on artificial intelligence to reveal age-related changes in neural response in a simple motor execution task. Twenty subjects of two age groups performed repetitive motor tasks on command, while the whole-scalp EEG was recorded. We applied the model based on the feed-forward multilayer perceptron to detect functional relationships between five groups of sensors located over the frontal, parietal, left, right, and middle motor cortex. Functional dependence was evaluated with the predicted and original time series coefficient of determination. Then, we applied statistical analysis to highlight the significant features of the functional connectivity network assessed by our model. Our findings revealed the connectivity pattern is consistent with modern ideas of the healthy aging effect on neural activation. Elderly adults demonstrate a pronounced activation of the whole-brain theta-band network and decreased activation of frontal\u2013parietal and motor areas of the mu-band. Between-subject analysis revealed a strengthening of inter-areal task-relevant links in elderly adults. These findings can be interpreted as an increased cognitive demand in elderly adults to perform simple motor tasks with the dominant hand, induced by age-related working memory decline.<\/jats:p>","DOI":"10.3390\/s22072537","type":"journal-article","created":{"date-parts":[[2022,3,27]],"date-time":"2022-03-27T21:31:25Z","timestamp":1648416685000},"page":"2537","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Age-Related Changes in Functional Connectivity during the Sensorimotor Integration Detected by Artificial Neural Network"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1850-2394","authenticated-orcid":false,"given":"Elena N.","family":"Pitsik","sequence":"first","affiliation":[{"name":"Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia"},{"name":"Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2788-1907","authenticated-orcid":false,"given":"Nikita S.","family":"Frolov","sequence":"additional","affiliation":[{"name":"Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia"},{"name":"Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8848-6134","authenticated-orcid":false,"given":"Natalia","family":"Shusharina","sequence":"additional","affiliation":[{"name":"Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2787-2530","authenticated-orcid":false,"given":"Alexander E.","family":"Hramov","sequence":"additional","affiliation":[{"name":"Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia"},{"name":"Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"18325","DOI":"10.1038\/s41598-019-54577-1","article-title":"Coherent resonance in the distributed cortical network during sensory information processing","volume":"9","author":"Pisarchik","year":"2019","journal-title":"Sci. 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