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Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis

BACKGROUND: Little is known regarding interhemispheric functional connectivity (FC) abnormalities via the corpus callosum in subjects with bipolar disorder (BD), which might be a key pathophysiological basis of emotional processing alterations in BD. METHODS: We performed tract-based spatial statist...

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Autores principales: Ishida, Takuya, Donishi, Tomohiro, Iwatani, Jun, Yamada, Shinichi, Takahashi, Shun, Ukai, Satoshi, Shinosaki, Kazuhiro, Terada, Masaki, Kaneoke, Yoshiki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486438/
https://www.ncbi.nlm.nih.gov/pubmed/28721394
http://dx.doi.org/10.1016/j.heliyon.2017.e00335
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author Ishida, Takuya
Donishi, Tomohiro
Iwatani, Jun
Yamada, Shinichi
Takahashi, Shun
Ukai, Satoshi
Shinosaki, Kazuhiro
Terada, Masaki
Kaneoke, Yoshiki
author_facet Ishida, Takuya
Donishi, Tomohiro
Iwatani, Jun
Yamada, Shinichi
Takahashi, Shun
Ukai, Satoshi
Shinosaki, Kazuhiro
Terada, Masaki
Kaneoke, Yoshiki
author_sort Ishida, Takuya
collection PubMed
description BACKGROUND: Little is known regarding interhemispheric functional connectivity (FC) abnormalities via the corpus callosum in subjects with bipolar disorder (BD), which might be a key pathophysiological basis of emotional processing alterations in BD. METHODS: We performed tract-based spatial statistics (TBSS) using diffusion tensor imaging (DTI) in 24 healthy control (HC) and 22 BD subjects. Next, we analyzed the neural networks with independent component analysis (ICA) in 32HC and 25 BD subjects using resting-state functional magnetic resonance imaging. RESULTS: In TBSS analysis, we found reduced fractional anisotropy (FA) in the corpus callosum of BD subjects. In ICA, functional within-connectivity was reduced in two clusters in the sensorimotor network (SMN) (right and left primary somatosensory areas) of BD subjects compared with HCs. FC between the two clusters and FA values in the corpus callosum of BD subjects was significantly correlated. Further, the functional within-connectivity was related to Young Mania Rating Scale (YMRS) total scores in the right premotor area in the SMN of BD subjects. LIMITATIONS: Almost all of our BD subjects were taking several medications which could be a confounding factor. CONCLUSIONS: Our findings suggest that interhemispheric FC dysfunction in the SMN is associated with the impaired nerve fibers in the corpus callosum, which could be one of pathophysiological bases of emotion processing dysregulation in BD patients.
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spelling pubmed-54864382017-07-18 Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis Ishida, Takuya Donishi, Tomohiro Iwatani, Jun Yamada, Shinichi Takahashi, Shun Ukai, Satoshi Shinosaki, Kazuhiro Terada, Masaki Kaneoke, Yoshiki Heliyon Article BACKGROUND: Little is known regarding interhemispheric functional connectivity (FC) abnormalities via the corpus callosum in subjects with bipolar disorder (BD), which might be a key pathophysiological basis of emotional processing alterations in BD. METHODS: We performed tract-based spatial statistics (TBSS) using diffusion tensor imaging (DTI) in 24 healthy control (HC) and 22 BD subjects. Next, we analyzed the neural networks with independent component analysis (ICA) in 32HC and 25 BD subjects using resting-state functional magnetic resonance imaging. RESULTS: In TBSS analysis, we found reduced fractional anisotropy (FA) in the corpus callosum of BD subjects. In ICA, functional within-connectivity was reduced in two clusters in the sensorimotor network (SMN) (right and left primary somatosensory areas) of BD subjects compared with HCs. FC between the two clusters and FA values in the corpus callosum of BD subjects was significantly correlated. Further, the functional within-connectivity was related to Young Mania Rating Scale (YMRS) total scores in the right premotor area in the SMN of BD subjects. LIMITATIONS: Almost all of our BD subjects were taking several medications which could be a confounding factor. CONCLUSIONS: Our findings suggest that interhemispheric FC dysfunction in the SMN is associated with the impaired nerve fibers in the corpus callosum, which could be one of pathophysiological bases of emotion processing dysregulation in BD patients. Elsevier 2017-06-23 /pmc/articles/PMC5486438/ /pubmed/28721394 http://dx.doi.org/10.1016/j.heliyon.2017.e00335 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ishida, Takuya
Donishi, Tomohiro
Iwatani, Jun
Yamada, Shinichi
Takahashi, Shun
Ukai, Satoshi
Shinosaki, Kazuhiro
Terada, Masaki
Kaneoke, Yoshiki
Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
title Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
title_full Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
title_fullStr Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
title_full_unstemmed Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
title_short Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
title_sort interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486438/
https://www.ncbi.nlm.nih.gov/pubmed/28721394
http://dx.doi.org/10.1016/j.heliyon.2017.e00335
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