ArticleNature neuroscience2023
Functional brain networks reflect spatial and temporal autocorrelation.
Article in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Glutamatergic Modulation of Brain Function in Psychosis: A Systematic Review of Neuroimaging Studies.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Pooled it
- The application value of Rs-fMRI-based machine learning models for differentiating mild cognitive impairment from Alzheimer's disease: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Pooled it
- A generalized scaling law reveals synchrony-driven reorganization of brain dynamics across human lifespan.PLoS computational biology · 2026Article
- Memristive singular value decomposition.Nature communications · 2026Article
- Thalamic modulation of cortical linearity across arousal states.Science advances · 2026Article
- Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood.PLoS biology · 2026Article
- Physiological fidelity of a satellite-derived forest resilience indicator in the Amazon.Nature ecology & evolution · 2026Article
- Opposite network patterns of integration-segregation in psychedelic and sedated states of consciousness.Cell reports · 2026Article
- Right hippocampal volume and attenuated psychotic symptoms distinguish subgroups of youth with common patterns of temporoparietal effective connectivity.Brain structure & function · 2026Article
- Article
- Synaptic Development of Fine Spatial Scale Organization of Neuronal Orientation Tuning in Mouse Primary Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.Nature human behaviour · 2026Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences.bioRxiv : the preprint server for biology · 2026Article
- Article
- Effective Connectivity Identifies Divergent Cerebro-Cerebellar Network Organization in Schizophrenia.Cerebellum (London, England) · 2026Article
- Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease.eLife · 2026Article
- VarCoNet: A Variability-Aware Self-Supervised Framework for Functional Connectome Extraction From Resting-State fMRI.Human brain mapping · 2026Article
- Opposing Network Patterns of Integration-Segregation in Psychedelic and Sedated States of Consciousness.bioRxiv : the preprint server for biology · 2026Article
- Bridging glucose metabolism and intrinsic functional organization of the human cortex.Communications biology · 2026Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 4 institutions in 3 countries.
Funding
Abstract
High-throughput experimental methods in neuroscience have led to an explosion of techniques for measuring complex interactions and multi-dimensional patterns. However, whether sophisticated measures of emergent phenomena can be traced back to simpler, low-dimensional statistics is largely unknown. To explore this question, we examined resting-state functional magnetic resonance imaging (rs-fMRI) data using complex topology measures from network neuroscience. Here we show that spatial and temporal autocorrelation are reliable statistics that explain numerous measures of network topology. Surrogate time series with subject-matched spatial and temporal autocorrelation capture nearly all reliable individual and regional variation in these topology measures. Network topology changes during aging are driven by spatial autocorrelation, and multiple serotonergic drugs causally induce the same topographic change in temporal autocorrelation. This reductionistic interpretation of widely used complexity measures may help link them to neurobiology.
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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.