ReviewFrontiers in psychiatry2018
Neuromarkers for Mental Disorders: Harnessing Population Neuroscience.
Review in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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.
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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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- The Effects of Non-invasive Brain Stimulation on Impulsivity in People with Mental Disorders: a Systematic Review and Explanatory Meta-Analysis.Neuropsychology review · 2020Pooled it
- Machine learning classification of schizophrenia patients and healthy controls using diverse neuroanatomical markers and Ensemble methods.Scientific reports · 2022Trial
- The neurobiology of binge eating disorder: a systematic review of studies using functional magnetic resonance imaging.Reviews in endocrine & metabolic disorders · 2026Review
- Neurofilament Light Chain (NfL) in Neurodegenerative Diseases: Biological and Clinical Significance, Multi-Omics Integration, and AI-Driven Biomarker Modeling for Precision Therapy.Pharmaceuticals (Basel, Switzerland) · 2026Review
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- Resting-state spontaneous brain activity as a neural marker for suicidal ideation in adolescents with non-suicidal self-injury: a voxel-wise and machine learning study.Frontiers in psychiatry · 2025Article
- Article
- Indole Alkaloids from Psychoactive Mushrooms: Chemical and Pharmacological Potential as Psychotherapeutic Agents.Biomedicines · 2023Review
- Machine Learning-Based Blood RNA Signature for Diagnosis of Autism Spectrum Disorder.International journal of molecular sciences · 2023Article
- Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms.NeuroImage. Clinical · 2022Article
- Aberrant neural representation of food stimuli in women with acute anorexia nervosa predicts treatment outcome and is improved in weight restored individuals.Translational psychiatry · 2021Article
- Distributed functional connectivity predicts neuropsychological test performance among older adults.Human brain mapping · 2021Article
- Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis.Brain imaging and behavior · 2021Article
- Clinical Features of Psychotic Disorders: Comparing Categorical and Dimensional Models.Psychiatric research and clinical practice · 2021Article
- Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?Frontiers in systems neuroscience · 2021Review
- Feasibility of Repeated Assessment of Cognitive Function in Older Adults Using a Wireless, Mobile, Dry-EEG Headset and Tablet-Based Games.Frontiers in psychiatry · 2021Article
- The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes.BMC psychiatry · 2020Article
- Introducing the PLOS ONE Collection on the neuroscience of reward and decision making.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite abundant research into the neurobiology of mental disorders, to date neurobiological insights have had very little impact on psychiatric diagnosis or treatment. In this review, we contend that the search for neuroimaging biomarkers-neuromarkers-of mental disorders is a highly promising avenue toward improved psychiatric healthcare. However, many of the traditional tools used for psychiatric neuroimaging are inadequate for the identification of neuromarkers. Specifically, we highlight the need for larger samples and for multivariate analysis. Approaches such as machine learning are likely to be beneficial for interrogating high-dimensional neuroimaging data. We suggest that broad, population-based study designs will be important for developing neuromarkers of mental disorders, and will facilitate a move away from a phenomenological definition of mental disorder categories and toward psychiatric nosology based on biological evidence. We provide an outline of how the development of neuromarkers should occur, emphasizing the need for tests of external and construct validity, and for collaborative research efforts. Finally, we highlight some concerns regarding the development, and use of, neuromarkers in psychiatric healthcare.
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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.