Meta-analytic investigations of structural grey matter, executive domain-related functional activations, and white matter diffusivity in obsessive compulsive disorder: An integrative review

Eng, Goi Khia; Sim, Kang; Chen, Shen-Hsing Annabel

doi:10.1016/j.neubiorev.2015.03.002

Cited by 123 publications

(110 citation statements)

References 217 publications

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“…In the present study, although the positive correlation between decreased VMHC in the thalamus and compulsion disappeared after Bonferroni correction, we speculate that the impaired intrinsic interhemispheric functional homotopy in the thalamus might be associated with the regulation of compulsive behavior. Previous studies have also demonstrated increased gray matter volume, decreased regional spontaneous neuronal activity and homogeneity, and reduced glutamate level in the thalamus, which were also related to the clinical symptoms of OCD [3,6,7,12,42]. Taking these findings together, we have reason to speculate that the anatomical and functional abnormalities in the thalamus are widely implicated in OCD, and our findings provide new evidence that abnormalities in the CSTC circuitry underlie the pathophysiological mechanisms of OCD.…”

Section: Research Ping LIsupporting

confidence: 77%

“…In sum, previous neuroimaging studies emphasize the abnormal structure and function of the cortico-striato-thalamo-cortical (CSTC) circuitry in OCD. It is also noteworthy that both increased and decreased fractional anisotropy values in the corpus callosum were reported in a diffusion tensor imaging study in OCD patients [12], which suggests that changes in the microstructure of the corpus callosum are involved in the process of obsessions and compulsions [13]. The corpus callosum, which is the largest area of white matter and is composed of association fibers in both hemispheres, plays an important role in interhemispheric communication and cognitive processes [14].…”

Section: Subjectsmentioning

confidence: 96%

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Reduced Interhemispheric Resting-State Functional Homotopy in Obsessive-Compulsive Disorder

Wang¹,

Chen²,

Li³

et al. 2018

Neuropsychiatry

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Neuroimaging studies have shown structural and functional abnormalities in parts of the cortico-striato-thalamo-cortical (CSTC) brain circuitry in patients with obsessive-compulsive disorder (OCD). However, little is known about changes in the interhemispheric functional homotopy in the resting-state in OCD. This study used a voxel-mirrored homotopic connectivity (VMHC) approach combined with resting-state functional magnetic resonance imaging to investigate changes in interhemispheric functional homotopy in 60 OCD patients and 60 healthy controls. Compared with the healthy controls, the OCD patients showed decreased VMHC values in the thalamus. The results suggest that changes in functional homotopy in the CSTC circuitry may be involved in the pathophysiologic mechanism of OCD. Our findings provide new evidence of abnormalities in the CSTC circuitry in OCD.

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Section: Research Ping LIsupporting

confidence: 77%

Section: Subjectsmentioning

confidence: 96%

Reduced Interhemispheric Resting-State Functional Homotopy in Obsessive-Compulsive Disorder

Wang¹,

Chen²,

Li³

et al. 2018

Neuropsychiatry

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“…Previous DTI-related meta-analyses used a visualised method named activation likelihood estimate (ALE) to locate regions with white matter abnormalities 35, 36 . Another meta-analysis pooled FA values to investigate the most vulnerable region 17 .…”

Section: Discussionmentioning

confidence: 99%

Correlations between diffusion tensor imaging and levels of consciousness in patients with traumatic brain injury: a systematic review and meta-analysis

Zhang

Wei

Peng

et al. 2017

Sci Rep

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Traumatic brain injury (TBI) often leads to impaired consciousness. Recent diffusion tensor imaging studies associated consciousness with imaging metrics including fractional anisotropy (FA) and apparent diffusion coefficient (ADC). We evaluated their correlations and determined the best index in candidate regions. Six databases were searched, including PubMed and Embase, and 16 studies with 701 participants were included. Data from region-of-interest and whole-brain analysis methods were meta-analysed separately. The FA-consciousness correlation was marginal in the whole-brain white matter (r = 0.63, 95% CI [0.47, 0.79], p = 0.000) and the corpus callosum (CC) (r = 0.60, 95% CI [0.48, 0.71], p = 0.000), and moderate in the internal capsule (r = 0.48, 95% CI [0.24, 0.72], p = 0.000). Correlations with ADC trended negative and lacked significance. Further subgroup analysis revealed that consciousness levels correlated strongly with FA in the CC body (r = 0.66, 95% CI [0.43, 0.89]), moderately in the splenium (r = 0.58, 95% CI [0.38, 0.78]), but insignificantly in the genu. In conclusion, FA correlates better with consciousness levels than ADC in TBI. The degree of correlation varies among brain regions. The CC (especially its splenium and body) is a reliable candidate region to quantitatively reflect consciousness levels.

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“…For the present work, a combination of biomarkers of structural gray matter volume derived from structural MRI images, functional connectivity from resting-state fMRI images and white matter fractional anisotropy (FA) extracted from diffusion MRI images is used. Based on a recent meta-analysis [21], we will consider the Gray Matter (GM) volume of bilateral putamen, left post central gyrus, right temporal and right insula volumes. Based on the same meta-analysis, FA in the superior longitudinal fasciculus, body of the corpus callosum and forceps minor were also extracted.…”

Section: Datasetmentioning

confidence: 99%

A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies

Coelho

Marques

Magalhães

et al. 2017

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Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the amount of possibly useful information. Indeed, BrainArchive was developed in order to organize, maintain and share this complex array of neuroimaging data. It stores all the information available for each participant/patient, being dynamic by nature. Notably, the application of reasoning systems to this multimodal data has the potential to provide tools for the identification of undiagnosed diseases. As a matter of fact, in this work we explore how Artificial Intelligence techniques for decision support work, namely CaseBased Reasoning (CBR) that may be used to achieve such endeavour. Particularly, it is proposed a reasoning system that uses the information stored in BrainArchive as past knowledge for the identification of individuals that are at risk of contracting some brain disease.

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Meta-analytic investigations of structural grey matter, executive domain-related functional activations, and white matter diffusivity in obsessive compulsive disorder: An integrative review

Cited by 123 publications

References 217 publications

Reduced Interhemispheric Resting-State Functional Homotopy in Obsessive-Compulsive Disorder

Reduced Interhemispheric Resting-State Functional Homotopy in Obsessive-Compulsive Disorder

Correlations between diffusion tensor imaging and levels of consciousness in patients with traumatic brain injury: a systematic review and meta-analysis

A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies

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