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- W3136228979 endingPage "405" @default.
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- W3136228979 abstract "In the human brain, aging is characterized by progressive neuronal loss, leading to disruption of synapses and to a degree of failure in neurotransmission. However, there is increasing evidence to support the notion that the aged brain has a remarkable ability to reorganize itself, with the aim of preserving its physiological activity. It is important to develop objective markers able to characterize the biological processes underlying brain aging in the intact human, and to distinguish them from brain degeneration associated with many neurological diseases. Transcranial magnetic stimulation (TMS), coupled with electromyography or electroencephalography (EEG), is particularly suited to this aim, due to the functional nature of the information provided, and thanks to the ease with which it can be integrated with behavioral manipulation. In this review, we aimed to provide up to date information about the role of TMS and TMS-EEG in the investigation of brain aging. In particular, we focused on data about cortical excitability, connectivity and plasticity, obtained by using readouts such as motor evoked potentials and transcranial evoked potentials. Overall, findings in the literature support an important potential contribution of TMS to the understanding of the mechanisms underlying normal brain aging. Further studies are needed to expand the current body of information and to assess the applicability of TMS findings in the clinical setting." @default.
- W3136228979 created "2021-03-29" @default.
- W3136228979 creator A5004503638 @default.
- W3136228979 creator A5042820064 @default.
- W3136228979 creator A5070138379 @default.
- W3136228979 creator A5070768619 @default.
- W3136228979 creator A5084961934 @default.
- W3136228979 creator A5090292355 @default.
- W3136228979 date "2021-03-22" @default.
- W3136228979 modified "2023-10-06" @default.
- W3136228979 title "Contribution of TMS and TMS-EEG to the Understanding of Mechanisms Underlying Physiological Brain Aging" @default.
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