Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Potential risk for healthy siblings to develop schizophrenia: evidence from pattern classification with whole-brain connectivity.

Neuroreport - 28 Mar 2012

Liu Meijie, Zeng Ling-Li, Shen Hui, Liu Zhening, Hu Dewen

Abstract excerpt

Recent resting-state functional connectivity MRI studies using group-level statistical analysis have demonstrated the inheritable characters of schizophrenia. The objective of the present study was to use pattern classification as a means to investigate schizophrenia inheritance based on the whole-brain resting-state functional connectivity at the individual subject level. One-against-one pattern classifications...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Brain
Share to Case-Control Studies
Share to Functional Neuroimaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Magnetic Resonance Imaging

Share to Neural Pathways

Share to Schizophrenia

Share to Siblings

Source

Identifiers

PMID: 22158134
DOI: 10.1097/WNR.0b013e32834f60a5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Potential risk for healthy siblings to develop schizophrenia: evidence from pattern classification with whole-brain connectivity.PMID 22158134Read ↗

Heredity characteristics of schizophrenia shown by dynamic functional connectivity analysis of resting-state functional MRI scans of unaffected siblingsSemantic proximity Read ↗

Shared intrinsic functional connectivity alterations as a familial risk marker for ADHD: a resting-state functional magnetic resonance imaging study with sibling design.Semantic proximity Read ↗

Decreased white matter FA values in the left inferior frontal gyrus is a possible intermediate phenotype of schizophrenia: evidences from a novel group strategy.Semantic proximity Read ↗

Semi-metric analysis of the functional brain network: Relationship with familial risk for psychotic disorder.Semantic proximity Read ↗

Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivitySemantic proximity Read ↗

Resting state electroencephalogram oscillatory abnormalities in schizophrenia and psychotic bipolar patients and their relatives from the bipolar and schizophrenia network on intermediate phenotypes study.Semantic proximity Read ↗

Examining Functional Resting-State Connectivity in Psychosis and Its Subgroups in the Bipolar-Schizophrenia Network on Intermediate Phenotypes Cohort.Semantic proximity Read ↗

Heritability of resting state EEG functional connectivity patterns.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 ↗

The effect of using group-averaged or individualized brain parcellations when investigating connectome dysfunction: A case study in psychosisSemantic proximity Read ↗

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

Brain network properties in treatment-resistant schizophrenia patients and their healthy siblings.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.