Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI
As one of the most widely accepted neuroanatomical models on OCD, it has been hypothesized that imbalance between an excitatory direct (ventral) pathway and an inhibitory indirect (dorsal) pathway in cortico-striato-thalamic circuit underlies the emergence of OCD. Here we examine the structural netw...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-07-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00302/full |
| _version_ | 1819225281703968768 |
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| author | Seung-Goo eKim Seung-Goo eKim Wi Hoon eJung Sung Nyun eKim Joon Hwan eJang Jun Soo eKwon Jun Soo eKwon Jun Soo eKwon |
| author_facet | Seung-Goo eKim Seung-Goo eKim Wi Hoon eJung Sung Nyun eKim Joon Hwan eJang Jun Soo eKwon Jun Soo eKwon Jun Soo eKwon |
| author_sort | Seung-Goo eKim |
| collection | DOAJ |
| description | As one of the most widely accepted neuroanatomical models on OCD, it has been hypothesized that imbalance between an excitatory direct (ventral) pathway and an inhibitory indirect (dorsal) pathway in cortico-striato-thalamic circuit underlies the emergence of OCD. Here we examine the structural network in drug-free patients with OCD in terms of graph theoretical measures for the first time. We used a measure called efficiency which quantifies how a node transfers information efficiently. To construct brain networks, cortical thickness was automatically estimated using T1-weighted magnetic resonance imaging. We found that the network of the OCD patients was as efficient as that of healthy controls so that the both networks were in the small-world regime. More importantly, however, disparity between the dorsal and the ventral networks in the OCD patients was found, suggesting a positive evidence to the imbalance theory on the underlying pathophysiology of OCD. |
| first_indexed | 2024-12-23T10:07:06Z |
| format | Article |
| id | doaj.art-447c1613b62b4723b0f98c6306b4e548 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-23T10:07:06Z |
| publishDate | 2013-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-447c1613b62b4723b0f98c6306b4e5482022-12-21T17:51:03ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-07-01710.3389/fnhum.2013.0030245473Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRISeung-Goo eKim0Seung-Goo eKim1Wi Hoon eJung2Sung Nyun eKim3Joon Hwan eJang4Jun Soo eKwon5Jun Soo eKwon6Jun Soo eKwon7Seoul National UniversityMax Plank Institute for Human Cognitive and Brain SciencesSeoul National University HospitalSeoul National UniversitySeoul National UniversitySeoul National UniversitySeoul National University HospitalSeoul National UniversityAs one of the most widely accepted neuroanatomical models on OCD, it has been hypothesized that imbalance between an excitatory direct (ventral) pathway and an inhibitory indirect (dorsal) pathway in cortico-striato-thalamic circuit underlies the emergence of OCD. Here we examine the structural network in drug-free patients with OCD in terms of graph theoretical measures for the first time. We used a measure called efficiency which quantifies how a node transfers information efficiently. To construct brain networks, cortical thickness was automatically estimated using T1-weighted magnetic resonance imaging. We found that the network of the OCD patients was as efficient as that of healthy controls so that the both networks were in the small-world regime. More importantly, however, disparity between the dorsal and the ventral networks in the OCD patients was found, suggesting a positive evidence to the imbalance theory on the underlying pathophysiology of OCD.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00302/fullMagnetic Resonance ImagingObsessive-Compulsive Disordercortical thicknessstructural connectivitygraph theoretical analysisNetwork efficiency |
| spellingShingle | Seung-Goo eKim Seung-Goo eKim Wi Hoon eJung Sung Nyun eKim Joon Hwan eJang Jun Soo eKwon Jun Soo eKwon Jun Soo eKwon Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI Frontiers in Human Neuroscience Magnetic Resonance Imaging Obsessive-Compulsive Disorder cortical thickness structural connectivity graph theoretical analysis Network efficiency |
| title | Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI |
| title_full | Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI |
| title_fullStr | Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI |
| title_full_unstemmed | Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI |
| title_short | Disparity between dorsal and ventral networks in patients with obsessive-compulsive disorder: Evidence revealed by graph theoretical analysis based on cortical thickness from MRI |
| title_sort | disparity between dorsal and ventral networks in patients with obsessive compulsive disorder evidence revealed by graph theoretical analysis based on cortical thickness from mri |
| topic | Magnetic Resonance Imaging Obsessive-Compulsive Disorder cortical thickness structural connectivity graph theoretical analysis Network efficiency |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00302/full |
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