ArticleThe American journal of psychiatry2019
Baseline Frontoparietal Task-Related BOLD Activity as a Predictor of Improvement in Clinical Symptoms at 1-Year Follow-Up in Recent-Onset Psychosis.
Article in The American journal of psychiatry, 2019. 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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Who cites it
17 citing papers in PubMed.
- Toward precision medicine: can neuroimaging prospectively predict early treatment outcomes in schizophrenia spectrum disorders? A systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026Review
- Machine learning helps predict early onset psychosis with serum protein biomarkers, neuropsychometry, and clinicodemographic data.Scientific reports · 2025Article
- Prediction of antipsychotic drug efficacy for schizophrenia treatment based on neural features of the resting-state functional connectome.Translational psychiatry · 2025Article
- Elevated Extracellular Free Water in the Brain Predicts Clinical Improvement in First-Episode Psychosis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Predicting Clinical Improvement in Early Psychosis Using Circuit-Based Resting-State Functional Magnetic Resonance Imaging.Schizophrenia bulletin · 2024Article
- Quality over quantity: powering neuroimaging samples in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Association of neurotransmitter pathway polygenic risk with specific symptom profiles in psychosis.Molecular psychiatry · 2024Article
- Association of neurotransmitter pathway polygenic risk with specific symptom profiles in psychosis.medRxiv : the preprint server for health sciences · 2023Article
- A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis.The American journal of psychiatry · 2023Article
- Altered Associations Between Task Performance and Dorsolateral Prefrontal Cortex Activation During Cognitive Control in Schizophrenia.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Neurobiological Markers for Predicting Treatment Response in Patients with Bipolar Disorder.Biomedicines · 2022Article
- Changes in corticostriatal connectivity and striatal tissue iron associated with efficacy of clozapine for treatment‑resistant schizophrenia.Psychopharmacology · 2022Article
- Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches.Frontiers in psychiatry · 2022Article
- Mechanisms underlying dorsolateral prefrontal cortex contributions to cognitive dysfunction in schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Article
- Schizophrenia and bipolar disorder are associated with opposite brain reward anticipation-associated response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Comparing machine and deep learning-based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging.Human brain mapping · 2021Article
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3 authors.
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Abstract
objectiveThe early course of illness in psychotic disorders is highly variable, and predictive biomarkers of treatment response have been lacking. Trial and error remains the basis for care in early psychosis, and poor outcomes are common. Early prediction of nonimprovement in response to treatment could help identify those who would benefit from alternative and/or supplemental interventions. The goal of this study was to evaluate the ability of functional MRI (fMRI) measures of cognitive control-related brain circuitry collected at baseline to predict symptomatic response in patients after 1 year.
methodsPatients with recent-onset (<2 years) psychotic disorders (N=82) in early psychosis specialty care were classified as improvers (>20% improvement in total score on the Brief Psychiatric Rating Scale [BPRS] at 1-year follow-up compared with baseline) or as nonimprovers. Behavioral (d' context) and fMRI (proactive control-associated activation in a priori frontoparietal regions of interest) measures of cognitive control were then evaluated on their ability to predict BPRS improvement using linear and logistic regression.
resultsCognitive control-associated measures significantly predicted BPRS improvement and improver status, with 70% positive predictive value, 60% negative predictive value, and 66% accuracy. Only the fMRI-based measure (and not the behavioral measure) significantly predicted status.
conclusionsThese results suggest that frontoparietal activation during cognitive control performance at baseline significantly predicts subsequent symptomatic improvement during early psychosis specialty care. Potential implications for fMRI-based personalized patient treatment are discussed.
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