ArticleHuman brain mapping2019
Brain-based ranking of cognitive domains to predict schizophrenia.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Differences in Performance in the Trail Making Test Part B Between Adoptees With High and Low Genetic Risk for Schizophrenia Spectrum Disorders: The Finnish Adoptive Family Study of Schizophrenia.The European journal of neuroscience · 2025Article
- Prediction of cognitive performance differences in older age from multimodal neuroimaging data.GeroScience · 2024Article
- Development of a model to predict antidepressant treatment response for depression among Veterans.Psychological medicine · 2023Article
- Accurate machine learning prediction of sexual orientation based on brain morphology and intrinsic functional connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Psychological Health and Drugs: Data-Driven Discovery of Causes, Treatments, Effects, and Abuses.Toxics · 2023Article
- Application of machine learning methods in predicting schizophrenia and bipolar disorders: A systematic review.Health science reports · 2023Article
- Relationship of Neuropeptide S (NPS) with Neurocognitive, Clinical, and Electrophysiological Parameters of Patients during Structured Rehabilitation Therapy for Schizophrenia.Journal of clinical medicine · 2022Article
- Modular-Level Functional Connectome Alterations in Individuals With Hallucinations Across the Psychosis Continuum.Schizophrenia bulletin · 2022Article
- Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging.PLoS biology · 2022Article
- Pattern learning reveals brain asymmetry to be linked to socioeconomic status.Cerebral cortex communications · 2022Article
- Advancing brain network models to reconcile functional neuroimaging and clinical research.NeuroImage. Clinical · 2022Review
- Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach.Schizophrenia bulletin · 2021Article
- Deep learning identifies partially overlapping subnetworks in the human social brain.Communications biology · 2021Article
- Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers.eLife · 2020Article
- Brain-based ranking of cognitive domains to predict schizophrenia.Human brain mapping · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 10 institutions in 5 countries.
Funding
Abstract
Schizophrenia is a devastating brain disorder that disturbs sensory perception, motor action, and abstract thought. Its clinical phenotype implies dysfunction of various mental domains, which has motivated a series of theories regarding the underlying pathophysiology. Aiming at a predictive benchmark of a catalog of cognitive functions, we developed a data-driven machine-learning strategy and provide a proof of principle in a multisite clinical dataset (n = 324). Existing neuroscientific knowledge on diverse cognitive domains was first condensed into neurotopographical maps. We then examined how the ensuing meta-analytic cognitive priors can distinguish patients and controls using brain morphology and intrinsic functional connectivity. Some affected cognitive domains supported well-studied directions of research on auditory evaluation and social cognition. However, rarely suspected cognitive domains also emerged as disease relevant, including self-oriented processing of bodily sensations in gustation and pain. Such algorithmic charting of the cognitive landscape can be used to make targeted recommendations for future mental health research.
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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.