ArticleEBioMedicine2019
Enhanced baseline activity in the left ventromedial putamen predicts individual treatment response in drug-naive, first-episode schizophrenia: Results from two independent study samples.
Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Neural substrates of reward anticipation and outcome in schizophrenia: a meta-analysis of fMRI findings in the monetary incentive delay task.Translational psychiatry · 2022Pooled it
- Increased regional homogeneity modulated by metacognitive training predicts therapeutic efficacy in patients with schizophrenia.European archives of psychiatry and clinical neuroscience · 2021Trial
- Local brain network alterations in prodromal and De Novo Parkinson's disease: basal ganglia functional connectivity mediates the association between regional homogeneity and motor manifestations.Behavioral and brain functions : BBF · 2026Article
- Prediction of antipsychotic drug efficacy for schizophrenia treatment based on neural features of the resting-state functional connectome.Translational psychiatry · 2025Article
- Advances in MRI Research for First-Episode Schizophrenia: A Selective Review and NSFC-Funded Analysis.Schizophrenia bulletin · 2025Review
- Imaging Biomarker Studies of Antipsychotic-Naïve First-Episode Schizophrenia in China: Progress and Future Directions.Schizophrenia bulletin · 2025Review
- Multi-feature fusion RFE random forest for schizophrenia classification and treatment response prediction.Scientific reports · 2025Article
- Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review.Brain sciences · 2024Article
- Functional Connectivity Between Auditory and Medial Temporal Lobe Networks in Antipsychotic-Naïve Patients With First-Episode Schizophrenia Predicts the Effects of Dopamine Antagonism on Auditory Verbal Hallucinations.Biological psychiatry global open science · 2024Article
- A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis.The American journal of psychiatry · 2023Article
- Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions.medRxiv : the preprint server for health sciences · 2023Article
- Machine learning methods to predict outcomes of pharmacological treatment in psychosis.Translational psychiatry · 2023Review
- Frontal lobe fALFF measured from resting-state fMRI as a prognostic biomarker in first-episode psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
- Abnormal global-brain functional connectivity and its relationship with cognitive deficits in drug-naive first-episode adolescent-onset schizophrenia.Brain imaging and behavior · 2022Article
- Vortioxetine Modulates the Regional Signal in First-Episode Drug-Free Major Depressive Disorder at Rest.Frontiers in psychiatry · 2022Article
- Less reduced gray matter volume in the subregions of superior temporal gyrus predicts better treatment efficacy in drug-naive, first-episode schizophrenia.Brain imaging and behavior · 2021Article
- Altered patterns of fractional amplitude of low-frequency fluctuation and regional homogeneity in abstinent methamphetamine-dependent users.Scientific reports · 2021Article
- Increased Homotopic Connectivity in the Prefrontal Cortex Modulated by Olanzapine Predicts Therapeutic Efficacy in Patients with Schizophrenia.Neural plasticity · 2021Observational
- Comparing Brain Functional Activities in Patients With Blepharospasm and Dry Eye Disease Measured With Resting-State fMRI.Frontiers in neurology · 2021Article
- A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia.Frontiers in psychiatry · 2021Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAntipsychotic medications are the common treatment for schizophrenia. However, reliable biomarkers that can predict individual treatment response are still lacking. The present study aimed to examine whether baseline putamen activity can predict individual treatment response in schizophrenia.
methodsTwo independent samples of patients with drug-naive, first-episode schizophrenia (32 patients in sample 1 and 44 in sample 2) and matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) at baseline. Patients were treated with olanzapine for 8 weeks; symptom severity was assessed using the Positive and Negative Syndrome Scale (PANSS) at baseline and week 8. Fractional amplitude of low frequency fluctuation (fALFF) and pattern classification techniques were used to analyze the data.
findingsUnivariate analysis shows an elevated pre-treatment fALFF in the left ventromedial putamen in both patient samples compared to healthy controls (p's < 0.001). The support vector regression (SVR) analysis suggests a positive relationship between baseline pre-treatment fALFF in the left ventromedial putamen and improvement in positive symptom at week 8 in each patient group using a cross-validated method (r = 0.452, p = .002; r = 0.511, p = .003, respectively).
interpretationOur study suggests that elevated pre-treatment mean fALFF in the left ventromedial putamen may predict individual therapeutic response to olanzapine treatment in drug-naive, first-episode patients with schizophrenia. Future studies are needed to confirm whether this finding is generalizable to patients with schizophrenia treated with other antipsychotic medications. FUND: The National Key R&D Program of China and the National Natural Science Foundation of China.
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