Title
Abnormality of Resting-State Functional Connectivity in Major Depressive Disorder: A Study With Whole-Head Near-Infrared Spectroscopy
Date Issued
29 April 2021
Access level
open access
Resource Type
journal article
Author(s)
Sakakibara E.
Satomura Y.
Matsuoka J.
Koike S.
Okada N.
Sakurada H.
Yamagishi M.
Kawakami N.
Kasai K.
Publisher(s)
Frontiers Media S.A.
Abstract
Near-infrared spectroscopy (NIRS) is a functional neuroimaging modality that has advantages in clinical usage. Previous functional magnetic resonance imaging (fMRI) studies have found that the resting-state functional connectivity (RSFC) of the default mode network (DMN) is increased, while the RSFC of the cognitive control network (CCN) is reduced in patients with major depressive disorder (MDD) compared with healthy controls. This study tested whether the NIRS-based RSFC measurements can detect the abnormalities in RSFC that have been associated with MDD in previous fMRI studies. We measured 8 min of resting-state brain activity in 34 individuals with MDD and 78 age- and gender-matched healthy controls using a whole-head NIRS system. We applied a previously established partial correlation analysis for estimating RSFCs between the 17 cortical regions. We found that MDD patients had a lower RSFC between the left dorsolateral prefrontal cortex and the parietal lobe that comprise the CCN, and a higher RSFC between the right orbitofrontal cortex and ventrolateral prefrontal cortex, compared to those in healthy controls. The RSFC strength of the left CCN was negatively correlated with the severity of depressive symptoms and the dose of antipsychotic medication and positively correlated with the level of social functioning. The results of this study suggest that NIRS-based measurements of RSFCs have potential clinical applications.
Volume
12
Language
English
OCDE Knowledge area
Radiología, Medicina nuclear, Imágenes médicas Psicología
Scopus EID
2-s2.0-85105950394
Source
Frontiers in Psychiatry
ISSN of the container
16640640
Sponsor(s)
This study was supported by JSPS KAKENHI [Grant Nos. 20H03596 (KK), 20K16642 (YS), and 20K16665 (ES)], the Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS) from Japan Agency for Medical Research and Development, AMED under Grant No. JP20dm0207069, and the Grants-in-Aid for Scientific Research on Innovative Areas by MEXT, Japan: Elucidation of social stratification mechanism and control over health inequality in contemporary Japan: New interdisciplinary area of social and health sciences project [Grant No. 21119003 to NK]. This study was also supported by the University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB) and the International Research Center for Neurointelligence (IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS). The funders had no role in the study design, data collection and analysis, publication decision, or manuscript preparation.
Sources of information: Directorio de Producción Científica Scopus