White matter connectivity and psychosis in ultra-high-risk subjects: A diffusion tensor fiber tracking study

Peters, Bart D.; Dingemans, Peter; Dekker, Natashe Lemos; Blaas, Jorik; Akkerman, Erik M.; Amelsvoort, Thérèse A. van; Majoie, Charles B; Heeten, Gerard J. den; Linszen, Don; Haan, Lieuwe de

doi:10.1016/j.pscychresns.2009.10.008

Cited by 62 publications

(39 citation statements)

References 48 publications

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“…First, while the present sample size is comparable to or larger than other longitudinal DTI studies in this population (17–37 people) (Bloemen et al, 2010, Peters et al, 2010, Walterfang et al, 2008), consortiums combining data from a number of different recruitment centers show significant promise for investigating brain changes in UHR populations (Cannon et al, 2015), and are important for replication. Second, though consistent with recent conversion rates in UHR groups (Yung et al, 2007), only 3 participants received conversion diagnoses during the 12-month follow-up period.…”

Section: Discussionmentioning

confidence: 74%

Cerebello-thalamo-cortical networks predict positive symptom progression in individuals at ultra-high risk for psychosis

Orr

Mittal

2017

NeuroImage: Clinical

104

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Prospective longitudinal evaluation of adolescents at ultra-high-risk (UHR) for the development of psychosis enables an enriched neurodevelopmental perspective of disease progression in the absence of many of the factors that typically confound research with formally psychotic patients (antipsychotic medications, drug/alcohol dependence). The cerebellum has been linked to cognitive dysfunction and symptom severity in schizophrenia and recent work from our team suggests that it is a promising target for investigation in UHR individuals as well. However, the cerebellum and cerebello-thalamo-cortical networks have not been investigated developmentally or with respect to disease progression in this critical population. Further, to date, the types of longitudinal multimodal connectivity studies that would substantially inform our understanding of this area have not yet been conducted. In the present investigation 26 UHR and 24 healthy control adolescents were administered structured clinical interviews and scanned at baseline and then again at 12-month time points to investigate both functional and structural connectivity development of cerebello-thalamo-cortical networks in conjunction with symptom progression. Our results provide evidence of abnormal functional and structural cerebellar network development in the UHR group. Crucially, we also found that cerebello-thalamo-cortical network development and connectivity at baseline are associated with positive symptom course, suggesting that cerebellar networks may be a biomarker of disease progression. Together, these findings provide support for neurodevelopmental models of psychotic disorders and suggest that the cerebellum and respective networks with the cortex may be especially important for elucidating the pathophysiology of psychosis and highlighting novel treatment targets.

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Section: Discussionmentioning

confidence: 74%

Cerebello-thalamo-cortical networks predict positive symptom progression in individuals at ultra-high risk for psychosis

Orr

Mittal

2017

NeuroImage: Clinical

104

View full text Add to dashboard Cite

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“…Firstly, diffusion tensor imaging (DTI) studies have provided evidence of disruption in white matter tracts in first-episode psychosis patients in comparison to agematched controls, which indicates that abnormalities in structural connectivity are present at illness onset and are not a secondary consequence of medication, or illness duration (Gasparotti et al, 2009;Hao et al, 2006;Price et al, 2007;Segal et al, 2010). Similar abnormalities have also been reported in ARMS subjects (Bloemen et al, 2009;Peters et al, 2009).…”

Section: Introductionmentioning

confidence: 84%

Characterization of the anterior cingulate's role in the at-risk mental state using graph theory

et al. 2011

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“…A VBM study reported reduced FA in the superior frontal gyrus in high-risk subjects compared to healthy controls (Peters et al, 2009), though the same researchers failed to find differences between white matter tracts in these groups with tractography methods (Peters et al, 2008). In a longitudinal follow-up of the same sample, no differences were found between high-risk subjects who transitioned to psychosis and subjects that did not transition (Peters et al, 2010). Others did identify some DTI based differences in high-risk subjects who transitioned to psychosis compared to those who did not transition to psychosis, with lower FA lateral in the right putamen and in the left superior temporal lobe, and higher FA in the left medial temporal lobe (Bloemen et al, 2009).…”

Section: Diffusion Weighted Imaging Studiesmentioning

confidence: 99%

A review of structural neuroimaging in schizophrenia: from connectivity to connectomics

Wheeler

Voineskos

2014

Front. Hum. Neurosci.

226

155

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In patients with schizophrenia neuroimaging studies have revealed global differences with some brain regions showing focal abnormalities. Examining neurocircuitry, diffusion-weighted imaging studies have identified altered structural integrity of white matter in frontal and temporal brain regions and tracts such as the cingulum bundles, uncinate fasciculi, internal capsules and corpus callosum associated with the illness. Furthermore, structural co-variance analyses have revealed altered structural relationships among regional morphology in the thalamus, frontal, temporal and parietal cortices in schizophrenia patients. The distributed nature of these abnormalities in schizophrenia suggests that multiple brain circuits are impaired, a neural feature that may be better addressed with network level analyses. However, even with the advent of these newer analyses, a large amount of variability in findings remains, likely partially due to the considerable heterogeneity present in this disorder.

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White matter connectivity and psychosis in ultra-high-risk subjects: A diffusion tensor fiber tracking study

Cited by 62 publications

References 48 publications

Cerebello-thalamo-cortical networks predict positive symptom progression in individuals at ultra-high risk for psychosis

Cerebello-thalamo-cortical networks predict positive symptom progression in individuals at ultra-high risk for psychosis

Characterization of the anterior cingulate's role in the at-risk mental state using graph theory

A review of structural neuroimaging in schizophrenia: from connectivity to connectomics

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