PMID- 32670117
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220415
IS  - 1664-0640 (Print)
IS  - 1664-0640 (Electronic)
IS  - 1664-0640 (Linking)
VI  - 11
DP  - 2020
TI  - Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study.
PG  - 597
LID - 10.3389/fpsyt.2020.00597 [doi]
LID - 597
AB  - BACKGROUND: Bipolar disorder (BD) is a serious psychiatric disorder that is 
      associated with a high suicide rate, and for which no clinical biomarker has yet 
      been identified. To address this issue, we investigated the use of 
      magnetoencephalography (MEG) as a new prospective tool. MEG has been used to 
      evaluate frequency-specific connectivity between brain regions; however, no 
      previous study has investigated the frequency-specific resting-state connectome 
      in patients with BD. This resting-state MEG study explored the oscillatory 
      representations of clinical symptoms of BD via graph analysis. METHODS: In this 
      prospective case-control study, 17 patients with BD and 22 healthy controls (HCs) 
      underwent resting-state MEG and evaluations for depressive and manic symptoms. 
      After estimating the source current distribution, orthogonalized envelope 
      correlations between multiple brain regions were evaluated for each frequency 
      band. We separated regions-of-interest into seven left and right network modules, 
      including the frontoparietal network (FPN), limbic network (LM), salience network 
      (SAL), and default mode network (DMN), to compare the intra- and inter-community 
      edges between the two groups. RESULTS: In the BD group, we found significantly 
      increased inter-community edges of the right LM-right DMN at the gamma band, and 
      decreased inter-community edges of the right SAL-right FPN at the delta band and 
      the left SAL-right SAL at the theta band. Intra-community edges in the left LM at 
      the high beta band were significantly higher in the BD group than in the HC 
      group. The number of connections in the left LM at the high beta band showed 
      positive correlations with the subjective and objective depressive symptoms in 
      the BD group. CONCLUSION: We introduced graph theory into resting-state MEG 
      studies to investigate the functional connectivity in patients with BD. To the 
      best of our knowledge, this is a novel approach that may be beneficial in the 
      diagnosis of BD. This study describes the spontaneous oscillatory brain networks 
      that compensate for the time-domain issues associated with functional magnetic 
      resonance imaging. These findings suggest that the connectivity of the LM at the 
      beta band may be a good objective biological biomarker of the depressive symptoms 
      associated with BD.
CI  - Copyright (c) 2020 Sunaga, Takei, Kato, Tagawa, Suto, Hironaga, Ohki, Takahashi, 
      Fujihara, Sakurai, Ujita, Tsushima and Fukuda.
FAU - Sunaga, Masakazu
AU  - Sunaga M
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
FAU - Takei, Yuichi
AU  - Takei Y
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
FAU - Kato, Yutaka
AU  - Kato Y
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
AD  - Tsutsuji Mental Hospital, Tatebayashi, Japan.
FAU - Tagawa, Minami
AU  - Tagawa M
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
AD  - Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan.
FAU - Suto, Tomohiro
AU  - Suto T
AD  - Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan.
FAU - Hironaga, Naruhito
AU  - Hironaga N
AD  - Brain Center, Faculty of Medicine, Kyushu University, Fukuoka, Japan.
FAU - Ohki, Takefumi
AU  - Ohki T
AD  - Department of Neurosurgery, Osaka University Medical School, Suita, Japan.
FAU - Takahashi, Yumiko
AU  - Takahashi Y
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
FAU - Fujihara, Kazuyuki
AU  - Fujihara K
AD  - Department of Genetic and Behavioral Neuroscience, Gunma University Graduate 
      School of Medicine, Maebashi, Japan.
FAU - Sakurai, Noriko
AU  - Sakurai N
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
FAU - Ujita, Koichi
AU  - Ujita K
AD  - Department of Diagnostic Radiology and Nuclear Medicine, Gunma University 
      Graduate School of Medicine, Maebashi, Japan.
FAU - Tsushima, Yoshito
AU  - Tsushima Y
AD  - Department of Diagnostic Radiology and Nuclear Medicine, Gunma University 
      Graduate School of Medicine, Maebashi, Japan.
FAU - Fukuda, Masato
AU  - Fukuda M
AD  - Department of Psychiatry and Neuroscience, Gunma University Graduate School of 
      Medicine, Maebashi, Japan.
LA  - eng
PT  - Journal Article
DEP - 20200624
PL  - Switzerland
TA  - Front Psychiatry
JT  - Frontiers in psychiatry
JID - 101545006
PMC - PMC7330711
OTO - NOTNLM
OT  - bipolar disorder
OT  - depressive symptoms
OT  - graph theory
OT  - limbic network
OT  - magnetoencephalography
OT  - resting-state network
OT  - salience network
EDAT- 2020/07/17 06:00
MHDA- 2020/07/17 06:01
PMCR- 2020/06/24
CRDT- 2020/07/17 06:00
PHST- 2020/04/03 00:00 [received]
PHST- 2020/06/09 00:00 [accepted]
PHST- 2020/07/17 06:00 [entrez]
PHST- 2020/07/17 06:00 [pubmed]
PHST- 2020/07/17 06:01 [medline]
PHST- 2020/06/24 00:00 [pmc-release]
AID - 10.3389/fpsyt.2020.00597 [doi]
PST - epublish
SO  - Front Psychiatry. 2020 Jun 24;11:597. doi: 10.3389/fpsyt.2020.00597. eCollection 
      2020.