Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy
Open accessAbstract
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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Such hyper-correlation has been noted in patients with neurologic disorders.
“Such hyper-correlation has been noted in patients with neurologic disorders (Kesler et al., 2017; Rudie et al., 2012; Wirsich et al., 2016).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Wirsich et al., 2016
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Self-citationResting-state dynamics in epilepsy : mechanistic insights from large-scale brain network modeling
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- Authors
- Wirsich, J., Perry, A., Ridley, B., Proix, T., Golos, M., Bénar, C., Ranjeva, J.-P., Bartolomei, F., Breakspear, M., Jirsa, V., & Guye, M.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- QIMR Berghofer Medical Research Institute (AU)
- Inserm (FR)
- Corresponding author
- Wirsich, Jonathan
- ORCID
- Venue
- NeuroImage: Clinical
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 11
- Pages
- 707-718
- ISSN
- 2213-1582 (ISSN-L)
- PMC
- PMC4909094
- OpenAlex
- W2401182545
- Cited by
- 77
- References
- 81
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 12 · 2022: 9 · 2021: 7 · 2020: 6 · 2019: 6 · 2018: 15 · 2017: 10 · 2016: 4
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage Clinical (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- CNRS
- ANR CONNECTEPI (ANR-07-NEUR-0010)
- EPI-SODIUM (2014-27)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- right temporal lobe epilepsy, structure-function relationship, structural connectivity, functional connectivity, network communication, rich club, brain network reorganization, seizure propagation, diffusion MRI, resting-state fMRI
- MeSH terms
- Adult, Brain, Brain Mapping, Epilepsy, Temporal Lobe, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Oxygen, Diffusion Magnetic Resonance Imaging, Young Adult, Connectome
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