Article

Task-Based Functional Connectomes Predict Cognitive Phenotypes Across Psychiatric Disease

2019-05-16

Abstract excerpt

<h4>Importance</h4> We show that three common approaches to clinical deficits (cognitive phenotype, disease group, disease severity) each offer useful and perhaps complimentary explanations for the brain’s underlying functional architecture as affected by psychiatric disease. <h4>Objective</h4> To understand how different clinical frameworks are represented in the brain’s functional connectome. <h4>Design</h4>...

Topics

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

Identifiers and source

Literature Corpus work: ee896417-6b95-5b99-8824-2433bb6b277e
DOI: 10.1101/638825

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Task-Based Functional Connectomes Predict Cognitive Phenotypes Across Psychiatric DiseaseDOI 10.1101/638825Read

The Transdiagnostic Connectome Project: a richly phenotyped open dataset for advancing the study of brain-behavior relationships in psychiatrySemantic proximity Read

Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illnessSemantic proximity Read

Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and PromisesSemantic proximity Read

Refining RDoC Using Individual-Level Task fMRI Factor Models Reveals Reproducible and Clinically Relevant Brain-Wide MotifsSemantic proximity Read

Neuropredictome: a data-driven predictome for cognitive, psychiatric, medical, and lifestyle factors on the brainSemantic proximity Read

Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changesSemantic proximity Read

A Transdiagnostic fMRI Dataset With 300+ Deeply Phenotyped Subjects Across Resting and Task StatesSemantic proximity Read

Atlas of the Human Brain Imaging-derived Phenotypes and Disease RiskSemantic proximity Read

Brain-phenotype predictions can survive across diverse real-world dataSemantic proximity Read

Atlas of the Human Brain Imaging-derived Phenotypes and Disease RiskSemantic proximity Read

Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkersSemantic proximity Read

Atlas of human brain imaging-derived phenotypes and disease risk.Semantic proximity Read