ArticleCerebral cortex (New York, N.Y. : 1991)2017
Intrinsic Connectivity Network-Based Classification and Detection of Psychotic Symptoms in Youth With 22q11.2 Deletions.
Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- Striatal dopaminergic function and cortical functional connectivity in 22q11.2 deletion syndrome: an integrative multimodalMolecular psychiatry · 2026Article
- Synaptic-dependent developmental dysconnectivity in 22q11.2 deletion syndrome.Science advances · 2025Article
- Unique Functional Neuroimaging Signatures of Genetic Versus Clinical High Risk for Psychosis.Biological psychiatry · 2025Article
- Robust and replicable functional brain signatures of 22q11.2 deletion syndrome and associated psychosis: a deep neural network-based multi-cohort study.Molecular psychiatry · 2024Article
- Synaptic-dependent developmental dysconnectivity in 22q11.2 deletion syndrome.bioRxiv : the preprint server for biology · 2024Article
- Molecular and immunological origins of catatonia.Schizophrenia research · 2024Article
- Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.JMIR mental health · 2023Review
- Structural and functional brain alterations revealed by neuroimaging in CNV carriers.Current opinion in genetics & development · 2021Review
- Neuroimaging Phenotypes Associated With Risk and Resilience for Psychosis and Autism Spectrum Disorders in 22q11.2 Microdeletion Syndrome.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Review
- Mitochondria in Early Forebrain Development: From Neurulation to Mid-Corticogenesis.Frontiers in cell and developmental biology · 2021Review
- Mutations associated with neuropsychiatric conditions delineate functional brain connectivity dimensions contributing to autism and schizophrenia.Nature communications · 2020Article
- Resting-State Functional Connectivity and Psychotic-like Experiences in Childhood: Results From the Adolescent Brain Cognitive Development Study.Biological psychiatry · 2019Article
- Mitochondrial Dysfunction Leads to Cortical Under-Connectivity and Cognitive Impairment.Neuron · 2019Article
- Recent developments in understanding the relationship between 22q11.2 deletion syndrome and psychosis.Current opinion in psychiatry · 2019Review
- Dissociable Disruptions in Thalamic and Hippocampal Resting-State Functional Connectivity in Youth with 22q11.2 Deletions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Frontal dysconnectivity in 22q11.2 deletion syndrome: an atlas-based functional connectivity analysis.Behavioral and brain functions : BBF · 2018Article
- A Mini Review on the Contribution of the Anterior Cingulate Cortex in the Risk of Psychosis in 22q11.2 Deletion Syndrome.Frontiers in psychiatry · 2018Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
22q11.2 Deletion syndrome (22q11DS) is a genetic disorder associated with numerous phenotypic consequences and is one of the greatest known risk factors for psychosis. We investigated intrinsic-connectivity-networks (ICNs) as potential biomarkers for patient and psychosis-risk status in 2 independent cohorts, UCLA (33 22q11DS-participants, 33 demographically matched controls), and Syracuse (28 22q11DS, 28 controls). After assessing group connectivity differences, ICNs from the UCLA cohort were used to train classifiers to distinguish cases from controls, and to predict psychosis risk status within 22q11DS; classifiers were subsequently tested on the Syracuse cohort. In both cohorts we observed significant hypoconnectivity in 22q11DS relative to controls within anterior cingulate (ACC)/precuneus, executive, default mode (DMN), posterior DMN, and salience networks. Of 12 ICN-derived classifiers tested in the Syracuse replication-cohort, the ACC/precuneus, DMN, and posterior DMN classifiers accurately distinguished between 22q11DS and controls. Within 22q11DS subjects, connectivity alterations within 4 networks predicted psychosis risk status for a given individual in both cohorts: the ACC/precuneus, DMN, left executive, and salience networks. Widespread within-network-hypoconnectivity in large-scale networks implicated in higher-order cognition may be a defining characteristic of 22q11DS during adolescence and early adulthood; furthermore, loss of coherence within these networks may be a valuable biomarker for individual prediction of psychosis-risk in 22q11DS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.