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Mapping Thalamocortical Functional Connectivity in Chronic and Early Stages of Psychotic Disorders.

Neil D Woodward | Stephan Heckers
Biological psychiatry | 2016

There is considerable evidence that the thalamus is abnormal in psychotic disorders. Resting-state functional magnetic resonance imaging has revealed an intriguing pattern of thalamic dysconnectivity in psychosis characterized by reduced prefrontal cortex (PFC) connectivity and increased somatomotor-thalamic connectivity. However, critical knowledge gaps remain with respect to the onset, anatomical specificity, and clinical correlates of thalamic dysconnectivity in psychosis.

Pubmed ID: 26248537

Research resources used in this publication

None found

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Antibodies used in this publication

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Associated grants

  • Agency: NIMH NIH HHS, United States
    Id: R01 MH070560
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH102266
  • Agency: NCRR NIH HHS, United States
    Id: UL1 RR024975

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This is a list of tools and resources that we have found mentioned in this publication.


CONN (tool)

RRID:SCR_009550

Matlab based cross platform software package for computation, display, and analysis of functional connectivity in fMRI (fcMRI). Used for resting state data (rsfMRI) as well as task related designs. Covers pipeline from raw fMRI data to hypothesis testing.

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Harvard - Oxford Cortical Structural Atlas (tool)

RRID:SCR_001476

Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School.

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