Article

Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity

2017-05-23

Abstract excerpt

Our objective was to assess the generalizability, across sites and cognitive contexts, of schizophrenia classification based on functional brain connectivity. We tested different training-test scenarios combining fMRI data from 191 schizophrenia patients and 191 matched healthy controls obtained at 6 scanning sites and under different task conditions. Diagnosis classification accuracy generalized well to a novel s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c3a0ef15-45e2-522f-8bd0-56941baf3e87
DOI: 10.1101/141192

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivityDOI 10.1101/141192Read

Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical applicationSemantic proximity Read

Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkersSemantic proximity Read

Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkersSemantic proximity Read

Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical applicationSemantic proximity Read

Domain Adaptation Enables Cross-site Classification of First-episode Schizophrenia from Multimodal Neuroimaging DataSemantic proximity Read

Impact of Connectivity Granularity: A Comparison of ROI and Network-Level Approaches for Early Schizophrenia ClassificationSemantic proximity Read

NeuroMark-SZ: A Holistic Resting-State-fMRI-Based Model for Divergent Functional Circuitry in SchizophreniaSemantic proximity Read

A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivitySemantic proximity Read

Predicting Individual Variability in Task-Evoked Brain Activity in SchizophreniaSemantic proximity Read

Task-Based Functional Connectomes Predict Cognitive Phenotypes Across Psychiatric DiseaseSemantic proximity Read

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.Semantic proximity Read

Group ICA for Identifying Biomarkers in Schizophrenia: ‘Adaptive’ Networks via Spatially Constrained ICA Show More Sensitivity to Group Differences than Spatio-temporal RegressionSemantic proximity Read