TY - JOUR
T1 - Temporal imprecision and phase instability in schizophrenia resting state EEG
AU - Lechner, Stephan
AU - Northoff, Georg
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/8
Y1 - 2023/8
N2 - Schizophrenia is characterized by temporal imprecision and irregularities on neuronal, psychological cognitive, and behavioral levels which are usually tested during task-related activity. This leaves open whether analogous temporal imprecision and irregularities can already be observed in the brain's spontaneous activity as measured during the resting state; this is the goal of our study. Building on recent task-related data, we, using EEG, aimed to investigate the temporal precision and regularity of phase coherence over time in healthy, schizophrenia, and bipolar disorder participants. To this end, we developed a novel methodology, nominal frequency phase stability (NFPS), that allows to measure stability over phase angles in selected frequencies. By applying sample entropy quantification to the time-series of the nominal frequency phase angle time series, we found increased irregularities in theta activity over a frontocentral electrode in schizophrenia but not in bipolar disorder. We therefore assume that temporal imprecision and irregularity already occur in the brain's spontaneous activity in schizophrenia.
AB - Schizophrenia is characterized by temporal imprecision and irregularities on neuronal, psychological cognitive, and behavioral levels which are usually tested during task-related activity. This leaves open whether analogous temporal imprecision and irregularities can already be observed in the brain's spontaneous activity as measured during the resting state; this is the goal of our study. Building on recent task-related data, we, using EEG, aimed to investigate the temporal precision and regularity of phase coherence over time in healthy, schizophrenia, and bipolar disorder participants. To this end, we developed a novel methodology, nominal frequency phase stability (NFPS), that allows to measure stability over phase angles in selected frequencies. By applying sample entropy quantification to the time-series of the nominal frequency phase angle time series, we found increased irregularities in theta activity over a frontocentral electrode in schizophrenia but not in bipolar disorder. We therefore assume that temporal imprecision and irregularity already occur in the brain's spontaneous activity in schizophrenia.
KW - EEG
KW - Entropy
KW - Phase
KW - Resting State
KW - Schizophrenia
UR - http://www.scopus.com/inward/record.url?scp=85161631316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85161631316&partnerID=8YFLogxK
U2 - 10.1016/j.ajp.2023.103654
DO - 10.1016/j.ajp.2023.103654
M3 - Article
C2 - 37307700
AN - SCOPUS:85161631316
SN - 1876-2018
VL - 86
JO - Asian Journal of Psychiatry
JF - Asian Journal of Psychiatry
M1 - 103654
ER -