ArticleJournal of translational medicine2024
Dynamic functional connectivity and gene expression correlates in temporal lobe epilepsy: insights from hidden markov models.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Decoding neuronal gene expression: integrative insights from omics and AI.Brain informatics · 2026Review
- Detrended fluctuation analysis of amygdala-hippocampal beta synchrony reveals network rigidity in depression associated with temporal lobe epilepsy.Journal of neural engineering · 2026Article
- Unveiling state-specific neural dynamics in migraine with and without depressive symptom: a hidden Markov model and interpretable machine learning approach.The journal of headache and pain · 2026Article
- Transcriptional signatures of the cortical morphometric similarity network gradient in left temporal lobe epilepsy with different seizure symptoms.Frontiers in neuroscience · 2026Article
- Advanced neuroimaging in pediatric epilepsy surgery: state of the art and future perspectives.Neuroradiology · 2026Review
- Transcriptomic decoding of regional cortical vulnerability to drug-resistant epilepsy using 7T MRI.Communications biology · 2025Article
- Alterations of multilayer network correlated with cognitive impairment and gene expression profiles in children with idiopathic generalized epilepsy.Scientific reports · 2025Article
- Exploratory GABAa-informed control network modulates hyperarousal brain dynamics in chronic insomnia.Communications biology · 2025Article
- Alternations in morphometric similarity network in mesial temporal epilepsy correlate to neuroinflammatory pathway gene transcriptions.Acta epileptologica · 2025Article
- Altered brain dynamics in post-stroke cognitive and motor dysfunction.Frontiers in aging neuroscience · 2025Article
- Cortical morphometric similarity patterns and molecular signatures across ischemic stroke recovery.Frontiers in neurology · 2025Article
- Functional connectivity in EEG: a multiclass classification approach for disorders of consciousness.Frontiers in neuroscience · 2025Article
- Uncovering abnormal gray and white matter connectivity patterns in Alzheimer's disease spectrum: a dynamic graph theory analysis for early detection.Frontiers in aging neuroscience · 2025Article
- Transcriptional patterns of brain structural abnormalities in CSVD-related cognitive impairment.Frontiers in aging neuroscience · 2024Article
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6 authors.
Funding
Abstract
backgroudTemporal lobe epilepsy (TLE) is associated with abnormal dynamic functional connectivity patterns, but the dynamic changes in brain activity at each time point remain unclear, as does the potential molecular mechanisms associated with the dynamic temporal characteristics of TLE.
methodsResting-state functional magnetic resonance imaging (rs-fMRI) was acquired for 84 TLE patients and 35 healthy controls (HCs). The data was then used to conduct HMM analysis on rs-fMRI data from TLE patients and an HC group in order to explore the intricate temporal dynamics of brain activity in TLE patients with cognitive impairment (TLE-CI). Additionally, we aim to examine the gene expression profiles associated with the dynamic modular characteristics in TLE patients using the Allen Human Brain Atlas (AHBA) database.
resultsFive HMM states were identified in this study. Compared with HCs, TLE and TLE-CI patients exhibited distinct changes in dynamics, including fractional occupancy, lifetimes, mean dwell time and switch rate. Furthermore, transition probability across HMM states were significantly different between TLE and TLE-CI patients (p < 0.05). The temporal reconfiguration of states in TLE and TLE-CI patients was associated with several brain networks (including the high-order default mode network (DMN), subcortical network (SCN), and cerebellum network (CN). Furthermore, a total of 1580 genes were revealed to be significantly associated with dynamic brain states of TLE, mainly enriched in neuronal signaling and synaptic function.
conclusionsThis study provides new insights into characterizing dynamic neural activity in TLE. The brain network dynamics defined by HMM analysis may deepen our understanding of the neurobiological underpinnings of TLE and TLE-CI, indicating a linkage between neural configuration and gene expression in TLE.
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