TY - JOUR
T1 - Changes in the left temporal microstate are a sign of cognitive decline in patients with Alzheimer's disease
AU - Musaeus, Christian S
AU - Engedal, Knut
AU - Høgh, Peter
AU - Jelic, Vesna
AU - Khanna, Arjun R
AU - Kjaer, Troels Wesenberg
AU - Mørup, Morten
AU - Naik, Mala
AU - Oeksengaard, Anne-Rita
AU - Santarnecchi, Emiliano
AU - Snaedal, Jon
AU - Wahlund, Lars-Olof
AU - Waldemar, Gunhild
AU - Andersen, Birgitte B
N1 - © 2020 The Authors. Brain and Behavior published by Wiley Periodicals, LLC.
PY - 2020/6
Y1 - 2020/6
N2 - INTRODUCTION: Large-scale brain networks are disrupted in the early stages of Alzheimer's disease (AD). Electroencephalography microstate analysis, a promising method for studying brain networks, parses EEG signals into topographies representing discrete, sequential network activations. Prior studies indicate that patients with AD show a pattern of global microstate disorganization. We investigated whether any specific microstate changes could be found in patients with AD and mild cognitive impairment (MCI) compared to healthy controls (HC).MATERIALS AND METHODS: Standard EEGs were obtained from 135 HC, 117 patients with MCI, and 117 patients with AD from six Nordic memory clinics. We parsed the data into four archetypal microstates.RESULTS: There was significantly increased duration, occurrence, and coverage of microstate A in patients with AD and MCI compared to HC. When looking at microstates in specific frequency bands, we found that microstate A was affected in delta (1-4 Hz), theta (4-8 Hz), and beta (13-30 Hz), while microstate D was affected only in the delta and theta bands. Microstate features were able to separate HC from AD with an accuracy of 69.8% and HC from MCI with an accuracy of 58.7%.CONCLUSIONS: Further studies are needed to evaluate whether microstates represent a valuable disease classifier. Overall, patients with AD and MCI, as compared to HC, show specific microstate alterations, which are limited to specific frequency bands. These alterations suggest disruption of large-scale cortical networks in AD and MCI, which may be limited to specific frequency bands.
AB - INTRODUCTION: Large-scale brain networks are disrupted in the early stages of Alzheimer's disease (AD). Electroencephalography microstate analysis, a promising method for studying brain networks, parses EEG signals into topographies representing discrete, sequential network activations. Prior studies indicate that patients with AD show a pattern of global microstate disorganization. We investigated whether any specific microstate changes could be found in patients with AD and mild cognitive impairment (MCI) compared to healthy controls (HC).MATERIALS AND METHODS: Standard EEGs were obtained from 135 HC, 117 patients with MCI, and 117 patients with AD from six Nordic memory clinics. We parsed the data into four archetypal microstates.RESULTS: There was significantly increased duration, occurrence, and coverage of microstate A in patients with AD and MCI compared to HC. When looking at microstates in specific frequency bands, we found that microstate A was affected in delta (1-4 Hz), theta (4-8 Hz), and beta (13-30 Hz), while microstate D was affected only in the delta and theta bands. Microstate features were able to separate HC from AD with an accuracy of 69.8% and HC from MCI with an accuracy of 58.7%.CONCLUSIONS: Further studies are needed to evaluate whether microstates represent a valuable disease classifier. Overall, patients with AD and MCI, as compared to HC, show specific microstate alterations, which are limited to specific frequency bands. These alterations suggest disruption of large-scale cortical networks in AD and MCI, which may be limited to specific frequency bands.
KW - Alzheimer's disease
KW - EEG
KW - microstate
KW - mild cognitive impairment
KW - network
U2 - 10.1002/brb3.1630
DO - 10.1002/brb3.1630
M3 - Article
C2 - 32338460
SN - 2157-9032
VL - 10
JO - Brain and Behavior
JF - Brain and Behavior
IS - 6
M1 - e01630
ER -