ArticleSchizophrenia bulletin2020
Anterior Hippocampal-Cortical Functional Connectivity Distinguishes Antipsychotic Naïve First-Episode Psychosis Patients From Controls and May Predict Response to Second-Generation Antipsychotic Treatment.
Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
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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
42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Brain structural abnormalities in treatment-resistant schizophrenia.Molecular psychiatry · 2026Pooled it
- fMRI connectivity as a biomarker of antipsychotic treatment response: A systematic review.NeuroImage. Clinical · 2023Pooled it
- Does Hippocampal Volume Predict Transition to Psychosis in a High-Risk Group? A Meta-Analysis.Frontiers in psychiatry · 2020Pooled it
- Diazepam modulates hippocampal CA1 functional connectivity in people at clinical high-risk for psychosis.Psychological medicine · 2025Trial
- 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
- Unsupervised Clustering of ACC and Hippocampal Metabolites Identifies Subgroups in Antipsychotic-Naïve First-Episode Psychosis.Schizophrenia bulletin · 2026Article
- The distinct effects of metabolic syndrome on negative symptoms and on antipsychotic therapy of schizophrenia involve insular volume, functional connectivity, and genetic polymorphisms.Translational psychiatry · 2026Article
- Altered functional connectivity of the hippocampus in cortico-subcortical networks in early-stage and emerging psychosis.European archives of psychiatry and clinical neuroscience · 2026Article
- Machine Learning Models for Predicting Antipsychotic Effectiveness and Separate Cost-Effectiveness Analysis in Hospitalized Schizophrenia Patients.Neuropsychiatric disease and treatment · 2026Article
- Mental time travel and insight in schizophrenia.Psychological medicine · 2025Review
- Functional Coupling and Longitudinal Outcome Prediction in First-Episode Psychosis.Biological psychiatry global open science · 2025Article
- Molecular Underpinning of Treatment-Resistant Schizophrenia: A Putative Different Neurobiology from Treatment-Responsive Schizophrenia.International journal of molecular sciences · 2025Review
- Disturbances in Resting State Functional Connectivity in Schizophrenia: A Study of Hippocampal Subregions, the Parahippocampal Gyrus and Functional Brain Networks.Diagnostics (Basel, Switzerland) · 2025Article
- Neurocognition as a major predictor of 8-week response to antipsychotics for drug-naïve first-episode schizophrenia using machine learning.Schizophrenia (Heidelberg, Germany) · 2025Article
- Effects on Multimodal Connectivity Patterns in Female Schizophrenia During 8 Weeks of Antipsychotic Treatment.Schizophrenia bulletin · 2025Article
- Multi-feature fusion RFE random forest for schizophrenia classification and treatment response prediction.Scientific reports · 2025Article
- Impaired Hippocampal Circuitry and Memory Dysfunction in Schizophrenia.Nature. Mental health · 2025Article
- Macro- and Microstructural Alterations in the Midbrain in Early Psychosis Associates with Clinical Symptom Scores.eNeuro · 2025Article
- Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.BMC neurology · 2024Review
- Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives.Neuroscience bulletin · 2024Review
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundConverging evidence implicates the anterior hippocampus in the proximal pathophysiology of schizophrenia. Although resting state functional connectivity (FC) holds promise for characterizing anterior hippocampal circuit abnormalities and their relationship to treatment response, this technique has not yet been used in first-episode psychosis (FEP) patients in a manner that distinguishes the anterior from posterior hippocampus.
methodsWe used masked-hippocampal-group-independent component analysis with dual regression to contrast subregional hippocampal-whole brain FC between healthy controls (HCs) and antipsychotic naïve FEP patients (N = 61, 36 female). In a subsample of FEP patients (N = 27, 15 female), we repeated this analysis following 8 weeks of second-generation antipsychotic treatment and explored whether baseline FC predicted treatment response using random forest.
resultsRelative to HC, untreated FEP subjects displayed reproducibly lower FC between the left anteromedial hippocampus and cortical regions including the anterior cingulate and insular cortex (P < .05, corrected). Anteromedial hippocampal FC increased in FEP patients following treatment (P < .005), and no longer differed from HC. Random forest analysis showed baseline anteromedial hippocampal FC with four brain regions, namely the insular-opercular cortex, superior frontal gyrus, precentral gyrus, and postcentral gyrus predicted treatment response (area under the curve = 0.95).
conclusionsAntipsychotic naïve FEP is associated with lower FC between the anterior hippocampus and cortical regions previously implicated in schizophrenia. Preliminary analysis suggests that random forest models based on hippocampal FC may predict treatment response in FEP patients, and hence could be a useful biomarker for treatment development.
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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.