Masahiro Hata1, Hiroaki Kazui1, Toshihisa Tanaka1, Ryouhei Ishii2, Leonides Canuet3, Roberto D Pascual-Marqui4, Yasunori Aoki1, Shunichiro Ikeda5, Hideki Kanemoto1, Kenji Yoshiyama1, Masao Iwase1, Masatoshi Takeda1. 1. Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan. 2. Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan. Electronic address: ishii@psy.med.osaka-u.ac.jp. 3. UCM-UPM Centre for Biomedical Technology, Department of Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain. 4. The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland; Department of Psychiatry, Kansai Medical University, Osaka, Japan. 5. Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan; Osaka Psychiatric Medical Center, Osaka, Japan.
Abstract
OBJECTIVE: To explore neurophysiological biomarkers of Alzheimer's disease (AD), we investigated electroencephalography (EEG) of AD patients, and assessed lagged phase synchronization, a measure of brain functional connectivity. METHODS: Twenty-eight probable AD patients and 30 healthy controls (HC) were enrolled. Forty seconds of artifact-free EEG data were selected and compared between patients with AD and HC. Current source density (CSD) and lagged phase synchronization were analyzed by using eLORETA. RESULTS: Patients with AD showed significantly decreased lagged phase synchronization between most cortical regions in delta band relative to controls. There also was a decrease in lagged phase synchronization between the right dorsolateral prefrontal cortex (DLPFC) and the right posterior-inferior parietal lobule (pIPL) in theta band. In addition, some connections in delta band were found to be associated with cognitive function, measured by MMSE. This involved specifically interhemispheric temporal connections as well as left inferior parietal connectivity with the left hippocampus, lateral frontal regions, and the anterior cingulate cortex (aCC). Right temporal connections in delta band were related to global function, as estimated by CDR. No differences were found in CSD analysis between patients and HC. CONCLUSIONS: Functional connectivity disruptions between certain brain regions, as measured with lagged phase synchronization, may potentially represent a neurophysiological biomarker of AD. SIGNIFICANCE: Our study indicated that AD and healthy elderly could have the different patterns of lagged phase synchronization.
OBJECTIVE: To explore neurophysiological biomarkers of Alzheimer's disease (AD), we investigated electroencephalography (EEG) of ADpatients, and assessed lagged phase synchronization, a measure of brain functional connectivity. METHODS: Twenty-eight probable ADpatients and 30 healthy controls (HC) were enrolled. Forty seconds of artifact-free EEG data were selected and compared between patients with AD and HC. Current source density (CSD) and lagged phase synchronization were analyzed by using eLORETA. RESULTS:Patients with AD showed significantly decreased lagged phase synchronization between most cortical regions in delta band relative to controls. There also was a decrease in lagged phase synchronization between the right dorsolateral prefrontal cortex (DLPFC) and the right posterior-inferior parietal lobule (pIPL) in theta band. In addition, some connections in delta band were found to be associated with cognitive function, measured by MMSE. This involved specifically interhemispheric temporal connections as well as left inferior parietal connectivity with the left hippocampus, lateral frontal regions, and the anterior cingulate cortex (aCC). Right temporal connections in delta band were related to global function, as estimated by CDR. No differences were found in CSD analysis between patients and HC. CONCLUSIONS: Functional connectivity disruptions between certain brain regions, as measured with lagged phase synchronization, may potentially represent a neurophysiological biomarker of AD. SIGNIFICANCE: Our study indicated that AD and healthy elderly could have the different patterns of lagged phase synchronization.
Authors: Alexis E Whitton; Stephanie Deccy; Manon L Ironside; Poornima Kumar; Miranda Beltzer; Diego A Pizzagalli Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2017-07-13
Authors: Daniel J Blackburn; Yifan Zhao; Matteo De Marco; Simon M Bell; Fei He; Hua-Liang Wei; Sarah Lawrence; Zoe C Unwin; Michelle Blyth; Jenna Angel; Kathleen Baster; Thomas F D Farrow; Iain D Wilkinson; Stephen A Billings; Annalena Venneri; Ptolemaios G Sarrigiannis Journal: Brain Sci Date: 2018-07-17
Authors: Saskia Steinmann; Rom Amselberg; Bastian Cheng; Götz Thomalla; Andreas K Engel; Gregor Leicht; Christoph Mulert Journal: Sci Rep Date: 2018-10-18 Impact factor: 4.379