ReviewBiological psychiatry. Cognitive neuroscience and neuroimaging2018
Models of Network Spread and Network Degeneration in Brain Disorders.
Review in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.
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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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Who cites it
42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Transdiagnostic mapping of brain structural abnormalities and network-constrained gray matter atrophy patterns across affective and psychotic disorders.Molecular psychiatry · 2026Pooled it
- Identification of a diagnosis-selective neurobiological substrate for bipolar disorder, major depressive disorder, and schizophrenia: a meta-analysis of 57,717 subjects.Psychological medicine · 2026Pooled it
- A co-alteration parceling of the cingulate cortex.Brain structure & function · 2022Pooled it
- Hubs of long-distance co-alteration characterize brain pathology.Human brain mapping · 2020Pooled it
- Network-Based Spreading of Gray Matter Changes Across Different Stages of Psychosis.JAMA psychiatry · 2023Trial
- Spatial organization of AQP4 water channel expression in the human brain.Science advances · 2026Article
- Selective vulnerability of monoaminergic neurons and network spread of alpha-synuclein jointly explain pathology progression in Parkinson's disease models.Neurobiology of disease · 2026Article
- Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study.Molecular psychiatry · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Transdiagnostic prevention in youth mental health, Part I: rationale, shared risk factors.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026Article
- The role of structural connectivity on brain function through a Markov model of signal transmission.bioRxiv : the preprint server for biology · 2025Article
- Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport.IEEE transactions on medical imaging · 2025Article
- Embracing variability in the search for biological mechanisms of psychiatric illness.Trends in cognitive sciences · 2025Review
- The role of structural connectivity on brain function through a Markov model of signal transmission.PloS one · 2025Article
- Comparing structure-function relationships in brain networks using EEG and fNIRS.Scientific reports · 2024Article
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is associated with abnormalities in white matter structural integrity and connectivity: An ex-vivo diffusion MRI and pathology investigation.Neurobiology of aging · 2024Article
- Modeling brain network flexibility in networks of coupled oscillators: a feasibility study.Scientific reports · 2024Article
- Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders.NeuroImage. Clinical · 2024Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Network analysis can provide insight into key organizational principles of brain structure and help identify structural changes associated with brain disease. Though static differences between diseased and healthy networks are well characterized, the study of network dynamics, or how brain networks change over time, is increasingly central to understanding ongoing brain changes throughout disease. Accordingly, we present a short review of network models of spread, network dynamics, and network degeneration. Borrowing from recent suggestions, we divide this review into two processes by which brain networks can change: dynamics on networks, which are functional and pathological consequences taking place atop a static structural brain network; and dynamics of networks, which constitutes a changing structural brain network. We focus on diffusion magnetic resonance imaging-based structural or anatomic connectivity graphs. We address psychiatric disorders like schizophrenia; developmental disorders like epilepsy; stroke; and Alzheimer's disease and other neurodegenerative diseases.
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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.