ArticleHuman brain mapping2022
Alterations in white matter network dynamics in patients with schizophrenia and bipolar disorder.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Schizophrenia and bipolar disorder: a comparative analysis of genetic and brain network connectivity.Psychological medicine · 2026Article
- Controllability of morphometric network colocalize with underlying neurobiology in major depression.Psychological medicine · 2026Article
- Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia.The journal of headache and pain · 2025Article
- Network control theory applied to the human connectome: A study on variability and discriminability of fMRI connectomic features under normal and defective sensorineural conditions.Network neuroscience (Cambridge, Mass.) · 2025Article
- Functional magnetic resonance imaging of depression: a bibliometrics and meta-analysis.Annals of general psychiatry · 2024Article
- Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions.Brain sciences · 2024Article
- Functional Connectome Controllability in Patients with Mild Cognitive Impairment after Repetitive Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex.Journal of clinical medicine · 2024Article
- Beta-informativeness-diffusion multilayer graph embedding for brain network analysis.Frontiers in neuroscience · 2024Article
- Alterations in white matter network dynamics in patients with schizophrenia and bipolar disorder.Human brain mapping · 2022Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging evidence suggests white matter network abnormalities in patients with schizophrenia (SZ) and bipolar disorder (BD), but the alterations in dynamics of the white matter network in patients with SZ and BD are largely unknown. The white matter network of patients with SZ (n = 45) and BD (n = 47) and that of healthy controls (HC, n = 105) were constructed. We used dynamics network control theory to quantify the dynamics metrics of the network, including controllability and synchronizability, to measure the ability to transfer between different states. Experiments show that the patients with SZ and BD showed decreasing modal controllability and synchronizability and increasing average controllability. The correlations between the average controllability and synchronizability of patients were broken, especially for those with SZ. The patients also showed alterations in brain regions with supercontroller roles and their distribution in the cognitive system. Finally, we were able to accurately discriminate and predict patients with SZ and BD. Our findings provide novel dynamic metrics evidence that patients with SZ and BD are characterized by a selective disruption of brain network controllability, potentially leading to reduced brain state transfer capacity, and offer new guidance for the clinical diagnosis of mental illness.
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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.