Cortico-striatal-thalamic loop as a neural correlate of neuroticism in the mind-body interface.

Cortico-striatal-thalamic loop Mean diffusivity Neuroticism Posterior limb of the internal capsule

Journal

Journal of psychosomatic research
ISSN: 1879-1360
Titre abrégé: J Psychosom Res
Pays: England
ID NLM: 0376333

Informations de publication

Date de publication:
10 2021
Historique:
received: 25 02 2021
revised: 26 07 2021
accepted: 28 07 2021
pubmed: 14 8 2021
medline: 25 11 2021
entrez: 13 8 2021
Statut: ppublish

Résumé

Although brain structural studies have demonstrated the neural correlates of neuroticism, the outcomes are not easily identified because of the various possible brain regions involved, low statistical power (low number of subjects), and brain structural measures available, such as mean diffusivity (MD), which are more suitable than standard regional measures of grey and white-matter volume (rGMV, rWMV) and fractional anisotropy (FA). We hypothesized that neuroticism neural correlates could be detected by MD and differentially identified using other measures. We aimed to visualize the neural correlates of neuroticism. A voxel-by-voxel regression analysis was performed using the MD, rGMV, rWMV, or FA value as the dependent variable and with neuroticism scores based on the NEO-FFI and its confounding factors as independent variables in 1207 (693 men and 514 women; age, 20.7 ± 1.8, 18-27 years), non-clinical students in a cross-sectional study. MD in the cortico- (orbitofrontal cortex, anterior cingulate cortex, and posterior insula) striatal- (caudate and putamen) thalamic loop regions, including the right posterior limb of the internal capsule, were positively associated with neuroticism using the threshold-free cluster enhancement method with a family-wise error-corrected threshold of P < 0.0125 (0.05/4, Bonferroni correction for four types of MRI data [MD, rGMV, rWMV, and FA]) at the whole-brain level. An increased MD has generally been associated with reduced neural tissues and possibly area function. Accordingly, this finding helps elucidate the mechanism of somatization in neuroticism because the regions related to neuroticism are considered neural correlates of somatoform disorders.

Identifiants

pubmed: 34385032
pii: S0022-3999(21)00235-X
doi: 10.1016/j.jpsychores.2021.110590
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110590

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Seishu Nakagawa (S)

Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan; Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan. Electronic address: seishu.nakagawa.e8@tohoku.ac.jp.

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan; Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Nuclear Medicine and Radiology, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), Tohoku University, Sendai, Japan; Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Yuka Kotozaki (Y)

Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Takamitsu Shinada (T)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Tsukasa Maruyama (T)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Atsushi Sekiguchid (A)

Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.

Kunio Iizuka (K)

Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.

Ryoichi Yokoyama (R)

Japanese Red Cross Society, Suwa Hospital, Suwa, Japan.

Yuki Yamamoto (Y)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Sugiko Hanawa (S)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd, Tokyo, Japan.

Carlos Makoto Miyauchi (CM)

Advanced Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Daniele Magistro (D)

Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.

Kohei Sakaki (K)

Advanced Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Hyeonjeong Jeong (H)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan; Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan; Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan; Advanced Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

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