ReviewTrends in cognitive sciences2018
The Myth of Optimality in Clinical Neuroscience.
Review in Trends in cognitive sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The hierarchical taxonomy of psychopathology and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research.Journal of psychopathology and clinical science · 2024Pooled it
- Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders.Translational psychiatry · 2020Pooled it
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- A mega-analysis of low frequency resting-state measures in mood and psychosis-spectrum disorders.medRxiv : the preprint server for health sciences · 2025Article
- The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry.Scientific data · 2025Article
- Integrative diagnosis of psychiatric conditions using ChatGPT and fMRI data.BMC psychiatry · 2025Article
- Deep learning reveals that multidimensional social status drives population variation in 11,875 US participant cohort.PloS one · 2025Article
- Brain health in diverse settings: How age, demographics and cognition shape brain function.NeuroImage · 2024Article
- The Transdiagnostic Connectome Project: a richly phenotyped open dataset for advancing the study of brain-behavior relationships in psychiatry.medRxiv : the preprint server for health sciences · 2024Article
- Article
- Understanding the heterogeneity of anxiety using a translational neuroscience approach.Cognitive, affective & behavioral neuroscience · 2024Review
- The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds.Scientific data · 2023Article
- The Misguided Veneration of Averageness in Clinical Neuroscience: A Call to Value Diversity over Typicality.Brain sciences · 2023Review
- Transcriptional signatures of the cortical morphometric similarity network gradient in first-episode, treatment-naive major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Superiority and stigma in modern psychology and neuroscience.Trends in cognitive sciences · 2023Article
- Larval zebrafish as a model for studying individual variability in translational neuroscience research.Frontiers in behavioral neuroscience · 2023Review
- Genetic heterogeneity: Challenges, impacts, and methods through an associative lens.Genetic epidemiology · 2022Review
- Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites.Human brain mapping · 2022Article
- Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study.Nature communications · 2022Article
- Fast evidence accumulation in social anxiety disorder enhances decision making in a probabilistic reward task.Emotion (Washington, D.C.) · 2022Article
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2 authors.
Funding
Abstract
Clear evidence supports a dimensional view of psychiatric illness. Within this framework the expression of disorder-relevant phenotypes is often interpreted as a breakdown or departure from normal brain function. Conversely, health is reified, conceptualized as possessing a single ideal state. We challenge this concept here, arguing that there is no universally optimal profile of brain functioning. The evolutionary forces that shape our species select for a staggering diversity of human behaviors. To support our position we highlight pervasive population-level variability within large-scale functional networks and discrete circuits. We propose that, instead of examining behaviors in isolation, psychiatric illnesses can be best understood through the study of domains of functioning and associated multivariate patterns of variation across distributed brain systems.
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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.