Mapping of grey matter changes in schizophrenia1This work was presented, in part, at the VIth International Congress on Schizophrenia Research, Colorado Springs, Colorado, USA, April 1997.1

Wright, Ian C.; Ellison, Zoe; Sharma, Tonmoy; Friston, Karl J.; Murray, Robin M.; McGuire, Philip

doi:10.1016/s0920-9964(98)00094-2

Cited by 198 publications

(13 citation statements)

References 53 publications

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“…The lack of a consistent community structure across the patient group is consistent with randomization theories of the disease (Sporns, 2011), although other mechanisms could also result in such heterogeneity of the disease phenotype. The regional anatomy of the disorder in community structure, with a focus on the right insula, is intriguing given previous suggestions of schizophrenia-related alterations in insular cortex from both structural imaging studies (Wright et al, 1999; Kasai et al, 2003; Kim et al, 2003; Jang et al, 2006) and functional imaging studies (Curtis et al, 1998; Sommer et al, 2008; White et al, 2010; Corradi-Dell’acqua et al, in press). …”

Section: Discussionmentioning

confidence: 99%

The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia

et al. 2012

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The modular organization of the brain network can vary in two fundamental ways. The amount of interversus intra-modular connections between network nodes can be altered, or the community structure itself can be perturbed, in terms of which nodes belong to which modules (or communities). Alterations have previously been reported in modularity, which is a function of the proportion of intra-modular edges over all modules in the network. For example, we have reported that modularity is decreased in functional brain networks in schizophrenia: There are proportionally more inter-modular edges and fewer intra-modular edges. However, despite numerous and increasing studies of brain modular organization, it is not known how to test for differences in the community structure, i.e., the assignment of regional nodes to specific modules. Here, we introduce a method based on the normalized mutual information between pairs of modular networks to show that the community structure of the brain network is significantly altered in schizophrenia, using resting-state fMRI in 19 participants with childhood-onset schizophrenia and 20 healthy participants. We also develop tools to show which specific nodes (or brain regions) have significantly different modular communities between groups, a subset that includes right insular and perisylvian cortical regions. The methods that we propose are broadly applicable to other experimental contexts, both in neuroimaging and other areas of network science.

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Section: Discussionmentioning

confidence: 99%

The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia

et al. 2012

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“…This area plays a crucial role in the retrieval of semantic and autobiographical memory [44,45] as well as in social cognition and emotional processing [46]. Previous studies have described reduced volumes of this region in schizophrenia [47,48,49], including first-episode patients [48,49] and those with chronic schizophrenia [47,50]. Reduced temporal pole GM volume is associated with illness duration, psychosis severity, disorganized dimensions and formal thought disorder [51,52,53].…”

Section: Discussionmentioning

confidence: 99%

Different and Shared Brain Volume Abnormalities in Late- and Early-Onset Schizophrenia

Egashira

Matsuo²,

Mihara³

et al. 2014

Neuropsychobiology

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The differences in clinical characteristics between late- (LOS) and early-onset schizophrenia (EOS) are well documented. However, very little is known about the neural mechanisms underlying these differences. Here, we compared morphometric abnormalities between patients with EOS and those with LOS. A total of 22 patients with LOS, 24 patients with EOS and 41 healthy control subjects were included in this magnetic resonance imaging study. Brain images were analyzed using DARTEL preprocessing for voxel-based morphometry in SPM8. We tested a main effect of diagnosis in the whole-brain analysis and compared the results among the three groups. We also carried out correlation analyses between regional volumes and clinical variables. Patients with LOS showed larger gray matter (GM) volume of the left precuneus compared with healthy subjects and patients with EOS. Patients with LOS and EOS showed decreased GM volumes in the right insula, left superior temporal gyrus and left orbitofrontal gyrus compared with healthy subjects. A longer duration of illness was associated with reduced GM volume in the temporal pole in patients with EOS. Our findings may help improve our understanding of schizophrenia pathophysiology and shed light on the different and shared neurobiological underpinnings of LOS and EOS.

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“…This mechanism is crucial for higher cognitive processes, but also for basic phenomena such as synaptic plasticity. Evidence shows that this process is disturbed in schizophrenia (Kwon et al, 1999; Spencer et al, 2003; Uhlhaas et al, 2006) and that the deficits of neural synchrony are at least in part due to alteration in GABAergic and glutamatergic neurotransmission (Lewis et al, 2005; Moghaddam, 2003), which is likely a result of aberrant neurodevelopment (Wright et al, 1999; Phillips & Silverstein, 2003; Uhlhaas et al, 2009b, 2010a). …”

Section: Iiianimal Modelsmentioning

confidence: 99%

The 2nd Schizophrenia International Research Society Conference, 10–14 April 2010, Florence, Italy: Summaries of oral sessions

Baharnoori

Bartholomeusz

Boucher³

et al. 2010

Schizophrenia Research

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The 2nd Schizophrenia International Research Society Conference, was held in Florence, Italy, April 10–15, 2010. Student travel awardees served as rapporteurs of each oral session and focused their summaries on the most significant findings that emerged from each session and the discussions that followed. The following report is a composite of these reviews. It is hoped that it will provide an overview for those who were present, but could not participate in all sessions, and those who did not have the opportunity to attend, but who would be interested in an update on current investigations ongoing in the field of schizophrenia research.

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Mapping of grey matter changes in schizophrenia1This work was presented, in part, at the VIth International Congress on Schizophrenia Research, Colorado Springs, Colorado, USA, April 1997.1

Cited by 198 publications

References 53 publications

The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia

The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia

Different and Shared Brain Volume Abnormalities in Late- and Early-Onset Schizophrenia

The 2nd Schizophrenia International Research Society Conference, 10–14 April 2010, Florence, Italy: Summaries of oral sessions

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