ArticleNeuroImage. Clinical2016
Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy.
Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02304029 (Usefulness of Sodium MRI in the Presurgical Assessment of Drug-resistant Partial Epilepsy), which is not on this map. Cited by 34 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Usefulness of Sodium MRI in the Presurgical Assessment of Drug-resistant Partial Epilepsy
Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Neural bases of the bodily self as revealed by electrical brain stimulation: A systematic review.Human brain mapping · 2023Pooled it
- A systematic review on the quantitative relationship between structural and functional network connectivity strength in mammalian brains.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019Pooled it
- Physical fitness moderates the association between brain network impairment and both motor function and cognition in progressive multiple sclerosis.Journal of neurology · 2023Trial
- AI-Driven Mapping of Seizure Spread Patterns.Annals of neurology · 2026Article
- White matter signals reflect information transmission between brain regions during seizures.Brain : a journal of neurology · 2026Article
- Mapping global brain reconfigurations following local targeted manipulations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Macroscale intrinsic dynamics are associated with microcircuit function in focal and generalized epilepsies.Communications biology · 2024Article
- Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy.Network neuroscience (Cambridge, Mass.) · 2024Article
- Altered spread of waves of activities at large scale is influenced by cortical thickness organization in temporal lobe epilepsy: a magnetic resonance imaging-high-density electroencephalography study.Brain communications · 2024Article
- Network coupling and surgical treatment response in temporal lobe epilepsy: A proof-of-concept study.Epilepsy & behavior : E&B · 2023Article
- Intracranial EEG Structure-Function Coupling and Seizure Outcomes After Epilepsy Surgery.Neurology · 2023Article
- Multi-scale structural alterations of the thalamus and basal ganglia in focal epilepsy using 7T MRI.Human brain mapping · 2023Article
- Whole-brain dynamical modelling for classification of Parkinson's disease.Brain communications · 2023Article
- Clinical and anatomical analysis of the epileptogenic spread patterns in focal cortical dysplasia patients.Surgical neurology international · 2023Article
- Interictal Functional Connectivity in Focal Refractory Epilepsies Investigated by Intracranial EEG.Brain connectivity · 2022Review
- A framework For brain atlases: Lessons from seizure dynamics.NeuroImage · 2022Article
- Instantaneous radiated power of brain activity: application to prepulse inhibition and facilitation for body dysmorphic disorder.Biomedical engineering online · 2021Article
- Functional connectivity of the motor system in dystonia due to PKAN.eNeurologicalSci · 2021Article
- Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography.PLoS computational biology · 2021Article
- Dynamical Mechanisms of Interictal Resting-State Functional Connectivity in Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The in vivo structure-function relationship is key to understanding brain network reorganization due to pathologies. This relationship is likely to be particularly complex in brain network diseases such as temporal lobe epilepsy, in which disturbed large-scale systems are involved in both transient electrical events and long-lasting functional and structural impairments. Herein, we estimated this relationship by analyzing the correlation between structural connectivity and functional connectivity in terms of analytical network communication parameters. As such, we targeted the gradual topological structure-function reorganization caused by the pathology not only at the whole brain scale but also both in core and peripheral regions of the brain. We acquired diffusion (dMRI) and resting-state fMRI (rsfMRI) data in seven right-lateralized TLE (rTLE) patients and fourteen healthy controls and analyzed the structure-function relationship by using analytical network communication metrics derived from the structural connectome. In rTLE patients, we found a widespread hypercorrelated functional network. Network communication analysis revealed greater unspecific branching of the shortest path (search information) in the structural connectome and a higher global correlation between the structural and functional connectivity for the patient group. We also found evidence for a preserved structural rich-club in the patient group. In sum, global augmentation of structure-function correlation might be linked to a smaller functional repertoire in rTLE patients, while sparing the central core of the brain which may represent a pathway that facilitates the spread of seizures.
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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.