ReviewFrontiers in psychiatry2014
Computational neuropsychiatry - schizophrenia as a cognitive brain network disorder.
Review in Frontiers in psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 5 citations in OpenAlex.
- Schizophrenia and Neurodevelopment: Insights From Connectome Perspective.Schizophrenia bulletin · 2025Review
- Multiple-timescale dynamics, mixed mode oscillations and mixed affective states in a model of bipolar disorder.Cognitive neurodynamics · 2024Article
- A computational lens on menopause-associated psychosis.Frontiers in psychiatry · 2022Article
- Are working memory and glutamate concentrations involved in early-life stress and severity of psychosis?Brain and behavior · 2020Article
- EEG-Based Brain Functional Connectivity in First-Episode Schizophrenia Patients, Ultra-High-Risk Individuals, and Healthy Controls During P50 Suppression.Frontiers in human neuroscience · 2019Article
- Glutamatergic regulation of cognition and functional brain connectivity: insights from pharmacological, genetic and translational schizophrenia research.British journal of pharmacology · 2017Review
- Task Performance Modulates Functional Connectivity Involving the Dorsolateral Prefrontal Cortex in Patients with Schizophrenia.Frontiers in psychology · 2017Article
- Computational Psychiatry and Psychometrics Based on Non-Conscious Stimuli Input and Pupil Response Output.Frontiers in psychiatry · 2016Article
- Balanced translocation linked to psychiatric disorder, glutamate, and cortical structure/function.NPJ schizophrenia · 2016Article
- Neuropsychopharmacology of psychosis: relation of brain signals, cognition, and chemistry.Frontiers in psychiatry · 2014Article
- Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research.Frontiers in human neuroscience · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational modeling of functional brain networks in fMRI data has advanced the understanding of higher cognitive function. It is hypothesized that functional networks mediating higher cognitive processes are disrupted in people with schizophrenia. In this article, we review studies that applied measures of functional and effective connectivity to fMRI data during cognitive tasks, in particular working memory fMRI studies. We provide a conceptual summary of the main findings in fMRI data and their relationship with neurotransmitter systems, which are known to be altered in individuals with schizophrenia. We consider possible developments in computational neuropsychiatry, which are likely to further our understanding of how key functional networks are altered in schizophrenia.
Indexed as
Identifiers
What OpenQuestion holds
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.