Region-based analysis of sensory processing using diffusion tensor imaging
The caudate nucleus has been thought to be involved in the control of motor commands by the cerebrum, and recent studies suggest that it may play a role in the control of attachment behavior, cognition, emotion, and mental functions. Implied by the basal ganglia’s involvement in the execution, plann...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085014/?tool=EBI |
_version_ | 1797847165181100032 |
---|---|
author | Kai Nakagawa Yongjeon Cheong Seonkyoung Lee Kaie Habata Taku Kamiya Daichi Shiotsu Ichiro M. Omori Hidehiko Okazawa Hirotaka Kosaka Minyoung Jung |
author_facet | Kai Nakagawa Yongjeon Cheong Seonkyoung Lee Kaie Habata Taku Kamiya Daichi Shiotsu Ichiro M. Omori Hidehiko Okazawa Hirotaka Kosaka Minyoung Jung |
author_sort | Kai Nakagawa |
collection | DOAJ |
description | The caudate nucleus has been thought to be involved in the control of motor commands by the cerebrum, and recent studies suggest that it may play a role in the control of attachment behavior, cognition, emotion, and mental functions. Implied by the basal ganglia’s involvement in the execution, planning and control of movement, the caudate nucleus functions in a situation-dependent manner where processing of external stimuli is important on the basis of learning and memory. Sensory processing, which determines the response to external stimuli, has been shown to be related to various brain regions but it remains unknown how sensory processing is associated with the structure of the caudate nucleus and white matter microstructures of the caudate. Using four diffusion parameters derived from diffusion tensor imaging (DTI) (i.e., fractional anisotropy (FA), mean diffusivity (MD), axonal diffusivity (AD), and radial diffusivity (RD)) and the Adolescent/Adult Sensory Profile (AASP) questionnaire of 99 healthy subjects [42 males and 57 females; mean age:26.9 years, standard deviation 6.9], we investigated the relationship between white matter structure in the caudate nucleus and sensory processing. In consistent with what had been suggested by the results of previous studies, we found significant correlations between AD, MD and tactile sensation. Furthermore, we found a significant correlation between AD, MD and tactile sensory avoidance, the AASP sub-scores regarding the tactile senses. To the best of our knowledge, this is the first study to show that DTI diffusion parameters correlate with AASP scores in specific brain regions. |
first_indexed | 2024-04-09T18:06:51Z |
format | Article |
id | doaj.art-757e7f75862e48349477e92031024785 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-09T18:06:51Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-757e7f75862e48349477e920310247852023-04-14T05:31:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184Region-based analysis of sensory processing using diffusion tensor imagingKai NakagawaYongjeon CheongSeonkyoung LeeKaie HabataTaku KamiyaDaichi ShiotsuIchiro M. OmoriHidehiko OkazawaHirotaka KosakaMinyoung JungThe caudate nucleus has been thought to be involved in the control of motor commands by the cerebrum, and recent studies suggest that it may play a role in the control of attachment behavior, cognition, emotion, and mental functions. Implied by the basal ganglia’s involvement in the execution, planning and control of movement, the caudate nucleus functions in a situation-dependent manner where processing of external stimuli is important on the basis of learning and memory. Sensory processing, which determines the response to external stimuli, has been shown to be related to various brain regions but it remains unknown how sensory processing is associated with the structure of the caudate nucleus and white matter microstructures of the caudate. Using four diffusion parameters derived from diffusion tensor imaging (DTI) (i.e., fractional anisotropy (FA), mean diffusivity (MD), axonal diffusivity (AD), and radial diffusivity (RD)) and the Adolescent/Adult Sensory Profile (AASP) questionnaire of 99 healthy subjects [42 males and 57 females; mean age:26.9 years, standard deviation 6.9], we investigated the relationship between white matter structure in the caudate nucleus and sensory processing. In consistent with what had been suggested by the results of previous studies, we found significant correlations between AD, MD and tactile sensation. Furthermore, we found a significant correlation between AD, MD and tactile sensory avoidance, the AASP sub-scores regarding the tactile senses. To the best of our knowledge, this is the first study to show that DTI diffusion parameters correlate with AASP scores in specific brain regions.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085014/?tool=EBI |
spellingShingle | Kai Nakagawa Yongjeon Cheong Seonkyoung Lee Kaie Habata Taku Kamiya Daichi Shiotsu Ichiro M. Omori Hidehiko Okazawa Hirotaka Kosaka Minyoung Jung Region-based analysis of sensory processing using diffusion tensor imaging PLoS ONE |
title | Region-based analysis of sensory processing using diffusion tensor imaging |
title_full | Region-based analysis of sensory processing using diffusion tensor imaging |
title_fullStr | Region-based analysis of sensory processing using diffusion tensor imaging |
title_full_unstemmed | Region-based analysis of sensory processing using diffusion tensor imaging |
title_short | Region-based analysis of sensory processing using diffusion tensor imaging |
title_sort | region based analysis of sensory processing using diffusion tensor imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085014/?tool=EBI |
work_keys_str_mv | AT kainakagawa regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT yongjeoncheong regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT seonkyounglee regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT kaiehabata regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT takukamiya regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT daichishiotsu regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT ichiromomori regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT hidehikookazawa regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT hirotakakosaka regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging AT minyoungjung regionbasedanalysisofsensoryprocessingusingdiffusiontensorimaging |