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      Cortical correlates in upright dynamic and static balance in the elderly

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          Abstract

          Falls are the second most frequent cause of injury in the elderly. Physiological processes associated with aging affect the elderly’s ability to respond to unexpected balance perturbations, leading to increased fall risk. Every year, approximately 30% of adults, 65 years and older, experiences at least one fall. Investigating the neurophysiological mechanisms underlying the control of static and dynamic balance in the elderly is an emerging research area. The study aimed to identify cortical and muscular correlates during static and dynamic balance tests in a cohort of young and old healthy adults. We recorded cortical and muscular activity in nine elderly and eight younger healthy participants during an upright stance task in static and dynamic (core board) conditions. To simulate real-life dual-task postural control conditions, the second set of experiments incorporated an oddball visual task. We observed higher electroencephalographic (EEG) delta rhythm over the anterior cortex in the elderly and more diffused fast rhythms (i.e., alpha, beta, gamma) in younger participants during the static balance tests. When adding a visual oddball, the elderly displayed an increase in theta activation over the sensorimotor and occipital cortices. During the dynamic balance tests, the elderly showed the recruitment of sensorimotor areas and increased muscle activity level, suggesting a preferential motor strategy for postural control. This strategy was even more prominent during the oddball task. Younger participants showed reduced cortical and muscular activity compared to the elderly, with the noteworthy difference of a preferential activation of occipital areas that increased during the oddball task. These results support the hypothesis that different strategies are used by the elderly compared to younger adults during postural tasks, particularly when postural and cognitive tasks are combined. The knowledge gained in this study could inform the development of age-specific rehabilitative and assistive interventions.

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          Event-related EEG/MEG synchronization and desynchronization: basic principles.

          An internally or externally paced event results not only in the generation of an event-related potential (ERP) but also in a change in the ongoing EEG/MEG in form of an event-related desynchronization (ERD) or event-related synchronization (ERS). The ERP on the one side and the ERD/ERS on the other side are different responses of neuronal structures in the brain. While the former is phase-locked, the latter is not phase-locked to the event. The most important difference between both phenomena is that the ERD/ERS is highly frequency band-specific, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously. Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments.
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            Trail Making Test A and B: normative data stratified by age and education.

            Normative data for the Trail Making Test (TMT) A and B are presented for 911 community-dwelling individuals aged 18-89 years. Performance on the TMT decreased with increasing age and lower levels of education. Based on these results, the norms were stratified for both age (11 groups) and education (2 levels). The current norms represent a more comprehensive set of norms than previously available and will increase the ability of neuropsychologists to determine more precisely the degree to which scores on the TMT reflect impaired performance for varying ages and education.
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                Author and article information

                Contributors
                alessandra.delfelice@unipd.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 July 2021
                8 July 2021
                2021
                : 11
                : 14132
                Affiliations
                [1 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Department of Neuroscience, Section of Rehabilitation, , University of Padua, ; Padova, 35128 Italy
                [2 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Department of Information Engineering, , University of Padua, ; Padova, Italy 35131
                [3 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Department of Statistical Sciences, , University of Padua, ; Padova, 35121 Italy
                [4 ]GRID grid.416228.b, ISNI 0000 0004 0451 8771, Department of Physical Medicine and Rehabilitation, Harvard Medical School, , Spaulding Rehabilitation Hospital, ; Charlestown, Boston, MA 02129 USA
                [5 ]GRID grid.38142.3c, ISNI 000000041936754X, Wyss Institute for Biologically Inspired Engineering, , Harvard University, ; Boston, MA 02115 USA
                [6 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Padova Neuroscience Center, ; Padova, 35128 Italy
                Article
                93556
                10.1038/s41598-021-93556-3
                8266885
                34238987
                4b741b7c-ec84-45cf-b078-b8fcb6cbbd17
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 December 2020
                : 24 June 2021
                Categories
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                © The Author(s) 2021

                Uncategorized
                neuroscience,motor control,motor cortex,biomedical engineering
                Uncategorized
                neuroscience, motor control, motor cortex, biomedical engineering

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