Anatomical insights into disrupted small-world networks in schizophrenia

Wang, Qifeng; Su, Tung‐Ping; Zhou, Yuan; Chou, Kun Hsien; Chen, I-Yun; Jiang, Tianzi; Lin, Ching-Po

doi:10.1016/j.neuroimage.2011.09.035

Cited by 163 publications

(158 citation statements)

References 49 publications

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“…Other manifesta- of AD, has also emerged [87] . Wang et al found disrupted small-world networks and a negative correlation between small-worldness and clinical measures in schizophrenia [124] , consistent with a report by Commoun et al [125] .…”

Section: Dmri Network-based Applications In Neuropsychiatric Diseasesupporting

confidence: 72%

Diffusion magnetic resonance imaging for Brainnetome: A critical review

Zuo¹,

Cheng²,

Jiang³

2012

Neurosci. Bull.

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Abstract:Increasing evidence shows that the human brain is a highly self-organized system that shows attributes of smallworldness, hierarchy and modularity. The "connectome" was conceived several years ago to identify the underpinning physical connectivities of brain networks. The need for an integration of multi-spatial and -temporal approaches is becoming apparent. Therefore, the "Brainnetome" (brain-net-ome) project was proposed. Diffusion magnetic resonance imaging (dMRI) is a non-invasive way to study the anatomy of brain networks. Here, we review the principles of dMRI, its methodologies, and some of its clinical applications for the Brainnetome. Future research in this field is discussed.

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Section: Dmri Network-based Applications In Neuropsychiatric Diseasesupporting

confidence: 72%

Diffusion magnetic resonance imaging for Brainnetome: A critical review

Zuo¹,

Cheng²,

Jiang³

2012

Neurosci. Bull.

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“…2006; Wang et al. 2012) which, from a graph theoretical network perspective, would be supported by reduced clustering coefficient, reduced local efficiency, longer path length, and lower global efficiency. To date, only few studies investigated the association between topological organization and symptoms of schizophrenia (Liu et al.…”

Section: Introductionmentioning

confidence: 99%

Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity

et al. 2016

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BackgroundPrevious research has shown that the human brain can be represented as a complex functional network that is characterized by specific topological properties, such as clustering coefficient, characteristic path length, and global/local efficiency. Patients with psychotic disorder may have alterations in these properties with respect to controls, indicating altered efficiency of network organization. This study examined graph theoretical changes in relation to differential genetic risk for the disorder and aimed to identify clinical correlates.MethodsAnatomical and resting‐state MRI brain scans were obtained from 73 patients with psychotic disorder, 83 unaffected siblings, and 72 controls. Topological measures (i.e., clustering coefficient, characteristic path length, and small‐worldness) were used as dependent variables in a multilevel random regression analysis to investigate group differences. In addition, associations with (subclinical) psychotic/cognitive symptoms were examined.ResultsPatients had a significantly lower clustering coefficient compared to siblings and controls, with no difference between the latter groups. No group differences were observed for characteristic path length and small‐worldness. None of the topological properties were associated with (sub)clinical psychotic and cognitive symptoms.ConclusionsThe reduced ability for specialized processing (reflected by a lower clustering coefficient) within highly interconnected brain regions observed in the patient group may indicate state‐related network alterations. There was no evidence for an intermediate phenotype and no evidence for psychopathology‐related alterations.

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“…In our previous study, we examined anatomical brain networks in schizophrenic patients and normal controls using DTI, demonstrating that the topological properties of the patients' anatomical networks are altered [15] . Since schizophrenia is believed to be a complex mental disorder, mapping abnormalities in patients may not fully disentangle the risk factors involved in its development [16] .…”

Section: Introductionmentioning

confidence: 99%

“…By establishing a weighted network model of white matter connections using DTI followed by whole-brain tractography as described in our previous study [15] , we set out to explore the structural brain networks of both schizophrenic patients and their unaffected biological parents. We focused on network effi ciency because it is a suitable scale for characterizing the small-world properties of weighted networks [5,24] .…”

Section: Introductionmentioning

confidence: 99%

Compromised small-world efficiency of structural brain networks in schizophrenic patients and their unaffected parents

et al. 2015

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Several lines of evidence suggest that efficient information integration between brain regions is disrupted in schizophrenia. Abnormalities in white matter tracts that interconnect brain regions may be directly relevant to this pathophysiological process. As a complex mental disorder with high heritability, mapping abnormalities in patients and their firstdegree relatives may help to disentangle the risk factors for schizophrenia. We established a weighted network model of white matter connections using diffusion tensor imaging in 25 nuclear families with schizophrenic probands (19 patients and 41 unaffected parents) and two unrelated groups of normal controls (24 controls matched with patients and 26 controls matched with relatives). The patient group showed lower global efficiency and local efficiency. The decreased regional efficiency was localized in hubs such as the bilateral frontal cortices, bilateral anterior cingulate cortices, and left precuneus. The global effi ciency was negatively correlated with cognition scores derived from a 5-factor model of schizophrenic psychopathology.We also found that unaffected parents displayed decreased regional efficiency in the right temporal cortices, left supplementary motor area, left superior temporal pole, and left thalamus. The global efficiency tended to be lower in unaffected parents. Our data suggest that (1) the global effi ciency loss in neuroanatomical networks may be associated with the cognitive disturbances in schizophrenia; and (2) genetic vulnerability to schizophrenia may influence the anatomical organization of an individual's brain networks.

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Anatomical insights into disrupted small-world networks in schizophrenia

Cited by 163 publications

References 49 publications

Diffusion magnetic resonance imaging for Brainnetome: A critical review

Diffusion magnetic resonance imaging for Brainnetome: A critical review

Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity

Compromised small-world efficiency of structural brain networks in schizophrenic patients and their unaffected parents

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