ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2020
Multivariate classification of schizophrenia and its familial risk based on load-dependent attentional control brain functional connectivity.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Magnetic resonance imaging-based machine learning classification of schizophrenia spectrum disorders: a meta-analysis.Psychiatry and clinical neurosciences · 2024Pooled it
- Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.JAMA network open · 2023Pooled it
- Strategies for Psychiatric Rehabilitation and their Cognitive Outcomes in Schizophrenia: Review of Last Five-year Studies.Clinical practice and epidemiology in mental health : CP & EMH · 2021Pooled it
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application.BMC psychiatry · 2025Article
- Neuroplasticity of Speech-in-Noise Processing in Older Adults Assessed by Functional Near-Infrared Spectroscopy (fNIRS).Brain topography · 2024Article
- Functional Connectivity Biomarkers in Schizophrenia.Advances in neurobiology · 2024Review
- Changes in patterns of age-related network connectivity are associated with risk for schizophrenia.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry.BMC medicine · 2023Article
- Similarities and differences between multivariate patterns of cognitive and socio-cognitive deficits in schizophrenia, bipolar disorder and related risk.Schizophrenia (Heidelberg, Germany) · 2023Article
- A schizophrenia study based on multi-frequency dynamic functional connectivity analysis of fMRI.Frontiers in human neuroscience · 2023Article
- Hybrid brain model accurately predict human procrastination behavior.Cognitive neurodynamics · 2022Article
- Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis.Schizophrenia (Heidelberg, Germany) · 2022Article
- Cerebello-Thalamo-Cortical Hyperconnectivity Classifies Patients and Predicts Long-Term Treatment Outcome in First-Episode Schizophrenia.Schizophrenia bulletin · 2022Article
- Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition.BMC psychology · 2021Article
- Functional Connectivity During Visuospatial Processing in Schizophrenia: A Classification Study Using Lasso Regression.Neuropsychiatric disease and treatment · 2021Article
- An Ensemble of Psychological and Physical Health Indices Discriminates Between Individuals with Chronic Pain and Healthy Controls with High Reliability: A Machine Learning Study.Pain and therapy · 2020Article
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14 authors.
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Abstract
Patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show functional connectivity (FC) alterations during performance of tasks involving attention. As compared with SCZ, these alterations are present in SIB to a lesser extent and are more pronounced during high cognitive demand, thus possibly representing one of the pathways in which familial risk is translated into the SCZ phenotype. Our aim is to measure the separability of SCZ and SIB from healthy controls (HC) using attentional control-dependent FC patterns, and to test to which extent these patterns span a continuum of neurofunctional alterations between HC and SCZ. 65 SCZ with 65 age and gender-matched HC and 39 SIB with 39 matched HC underwent the Variable Attentional Control (VAC) task. Load-dependent connectivity matrices were generated according to correct responses in each VAC load. Classification performances of high, intermediate and low VAC load FC on HC-SCZ and HC-SIB cohorts were tested through machine learning techniques within a repeated nested cross-validation framework. HC-SCZ classification models were applied to the HC-SIB cohort, and vice-versa. A high load-related decreased FC pattern discriminated between HC and SCZ with 66.9% accuracy and with 57.7% accuracy between HC and SIB. A high load-related increased FC network separated SIB from HC (69.6% accuracy), but not SCZ from HC (48.5% accuracy). Our findings revealed signatures of attentional FC abnormalities shared by SCZ and SIB individuals. We also found evidence for potential, SIB-specific FC signature, which may point to compensatory neurofunctional mechanisms in persons at familial risk for schizophrenia.
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