2022
DOI: 10.3389/fnins.2022.798558
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Therapeutic Role of Repetitive Transcranial Magnetic Stimulation in Alzheimer’s and Parkinson’s Disease: Electroencephalography Microstate Correlates

Abstract: IntroductionThe microstate analysis is a method to convert the electrical potentials on the multi-channel electrode array to topographical electroencephalography (EEG) data. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive method that can modulate brain networks. This study explores the pathophysiological changes through microstate analysis in two different neurodegenerative diseases, Alzheimer’s (AD) and Parkinson’s disease (PD), characterized by motor and cognitive symptoms and analysis … Show more

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Cited by 16 publications
(6 citation statements)
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“…The rich syntax of the microstate time series provides a range of novel quantifications of the EEG signal with potential neurophysiological relevance. Indeed, many studies have demonstrated that characteristics of the EEG microstate time series vary across behavioral states ( Stevens and Kircher, 1998 ; Lehmann et al, 2010 ), personality types ( Schlegel et al, 2012 ), consciousness ( Bréchet and Michel, 2022 ), sleep ( Peng et al, 2021 ), pain ( May et al, 2021 ) and neuropsychiatric disorders, such as Alzheimer’s disease ( Dierks et al, 1997 ; Hanoglu et al, 2022 ), Parkinson’s disease ( Pal et al, 2021 ; Hanoglu et al, 2022 ), Huntington’s disease ( Faber et al, 2021 ), schizophrenia ( Lehmann et al, 2005 ; Kim et al, 2021 ), panic ( Kikuchi et al, 2011 ), dementia ( Lin et al, 2021 ). Multiple evidence suggest that the microstate time series may provide insights into the neural activity of the brain in the resting state ( Britz et al, 2010 ; Musso et al, 2010 ; Yuan et al, 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…The rich syntax of the microstate time series provides a range of novel quantifications of the EEG signal with potential neurophysiological relevance. Indeed, many studies have demonstrated that characteristics of the EEG microstate time series vary across behavioral states ( Stevens and Kircher, 1998 ; Lehmann et al, 2010 ), personality types ( Schlegel et al, 2012 ), consciousness ( Bréchet and Michel, 2022 ), sleep ( Peng et al, 2021 ), pain ( May et al, 2021 ) and neuropsychiatric disorders, such as Alzheimer’s disease ( Dierks et al, 1997 ; Hanoglu et al, 2022 ), Parkinson’s disease ( Pal et al, 2021 ; Hanoglu et al, 2022 ), Huntington’s disease ( Faber et al, 2021 ), schizophrenia ( Lehmann et al, 2005 ; Kim et al, 2021 ), panic ( Kikuchi et al, 2011 ), dementia ( Lin et al, 2021 ). Multiple evidence suggest that the microstate time series may provide insights into the neural activity of the brain in the resting state ( Britz et al, 2010 ; Musso et al, 2010 ; Yuan et al, 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…71 Therefore, our identification of the activation of pre-SMA in swallowing may reflect the cognitive demands of the swallowing task. Considering that repetitive transcranial magnetic stimulation (rTMS) targeting pre-SMA significantly improves motor and cognitive function in patients with neurodegenerative diseases, 72 future clinical trials for patients with dysphagia are necessary.…”
Section: Discussionmentioning
confidence: 99%
“…The combined application of brain neuroimaging and TMS holds promise for the clinical treatment of ADHD by providing insights into its neural underpinnings and offering targeted interventions [ 97 , 98 ]. Advanced neuroimaging techniques like fMRI can identify specific brain regions and networks associated with ADHD [ 99 , 100 ].…”
Section: Clinical Applications: Tms For Adhd and Depressionmentioning
confidence: 99%