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Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics.

Du Lei | Walter H L Pinaya | Therese van Amelsvoort | Machteld Marcelis | Gary Donohoe | David O Mothersill | Aiden Corvin | Michael Gill | Sandra Vieira | Xiaoqi Huang | Su Lui | Cristina Scarpazza | Jonathan Young | Celso Arango | Edward Bullmore | Gong Qiyong | Philip McGuire | Andrea Mechelli
Psychological medicine | 2020

Previous studies using resting-state functional neuroimaging have revealed alterations in whole-brain images, connectome-wide functional connectivity and graph-based metrics in groups of patients with schizophrenia relative to groups of healthy controls. However, it is unclear which of these measures best captures the neural correlates of this disorder at the level of the individual patient.

Pubmed ID: 31391132

Research resources used in this publication

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Associated grants

  • Agency: Wellcome Trust, United Kingdom
  • Agency: Wellcome Trust, United Kingdom
    Id: 208519/Z/17/Z

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


SPM (tool)

RRID:SCR_007037

Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.

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BrainNet Viewer (tool)

RRID:SCR_009446

Aa brain network visualization tool, which can help researchers to visualize structural and functional connectivity patterns from different levels in a quick, easy, and flexible way.

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GRETNA (tool)

RRID:SCR_009487

A graph theoretical network analysis toolbox which allows researchers to perform comprehensive analysis on the topology of brain connectome by integrating the most of network measures studied in current neuroscience field.

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