ArticleeLife2020
Distinct hierarchical alterations of intrinsic neural timescales account for different manifestations of psychosis.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Preserved intrinsic neural timescale organization with hierarchical variation in autism spectrum disorder.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood.PLoS biology · 2026Article
- Protocol for analyzing slow cortical dynamics in mouse neuronal recordings.STAR protocols · 2026Article
- Schizophrenia: temporal imprecision in phase, time, and frequency domains.Schizophrenia (Heidelberg, Germany) · 2026Article
- Article
- Multiscale Cortical Remodeling Following Abrupt Visual Deafferentation in Rhegmatogenous Retinal Detachment: Imaging Transcriptomics and Neurotransmitter Mapping.CNS neuroscience & therapeutics · 2026Article
- Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia.NPJ systems biology and applications · 2026Article
- Article
- Cognitive deficits linked to intrinsic timescales and gray matter volume abnormalities in children with Duchenne muscular dystrophy.Journal of neurodevelopmental disorders · 2026Article
- iSTTC: A robust method for accurate estimation of intrinsic neural timescales from single-unit recordings.PLoS computational biology · 2026Article
- Astrocyte-induced internal state transitions reshape brainwide sensory, integrative, and motor computations.bioRxiv : the preprint server for biology · 2026Article
- Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations.Nature human behaviour · 2026Article
- Dynamics of thoughts-novel candidate marker for differential-diagnosis of mental disorders?Journal of psychiatry & neuroscience : JPN · 2026Review
- MRI assessment of intrinsic neural timescales in male alcohol use disorder patients.Frontiers in psychiatry · 2026Article
- Cross-species evidence for the refinement of intrinsic neural timescales supporting executive system maturation through adolescence.bioRxiv : the preprint server for biology · 2025Article
- Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025Article
- From neuronal to mental topography - Neurophenomenology of auditory hallucinations.Translational psychiatry · 2025Review
- Reconfiguration of functional brain hierarchy in schizophrenia.Translational psychiatry · 2025Article
- Human attention-guided visual perception is governed by rhythmic oscillations and aperiodic timescales.PLoS biology · 2025Article
- Cluster profiles of distressing psychotic-like experiences among children and associations with genetic risk, prenatal cannabis exposure, and social-environmental characteristics.Schizophrenia research · 2025Article
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4 authors.
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Abstract
Hierarchical perceptual-inference models of psychosis may provide a holistic framework for understanding psychosis in schizophrenia including heterogeneity in clinical presentations. Particularly, hypothesized alterations at distinct levels of the perceptual-inference hierarchy may explain why hallucinations and delusions tend to cluster together yet sometimes manifest in isolation. To test this, we used a recently developed resting-state fMRI measure of intrinsic neural timescale (INT), which reflects the time window of neural integration and captures hierarchical brain gradients. In analyses examining extended sensory hierarchies that we first validated, we found distinct hierarchical INT alterations for hallucinations versus delusions in the auditory and somatosensory systems, thus providing support for hierarchical perceptual-inference models of psychosis. Simulations using a large-scale biophysical model suggested local elevations of excitation-inhibition ratio at different hierarchical levels as a potential mechanism. More generally, our work highlights the robustness and utility of INT for studying hierarchical processes relevant to basic and clinical neuroscience.
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