ArticleNeuroImage. Clinical2021
Altered structural connectome in non-lesional newly diagnosed focal epilepsy: Relation to pharmacoresistance.
Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Dynamic limbic-executive decoupling underpins the reciprocal link between drug-resistant state and depression in temporal lobe epilepsy.Epilepsia · 2026Article
- Open diffusion magnetic resonance imaging and connectivity data for epilepsy and surgery: The IDEAS II release.Epilepsia · 2026Article
- Hyperactive neuronal networks enhance tau spread in an Alzheimer's disease mouse model.bioRxiv : the preprint server for biology · 2025Article
- Diffusion imaging shows microstructural alterations in untreated, non-lesional patients already after a first unprovoked seizure.Epilepsia · 2025Article
- Longitudinal alterations in brain networks and thalamocortical connectivity in paediatric focal epilepsy: a structural connectomics pilot study.Brain communications · 2025Article
- White matter quantitative anomalies and clinical outcome in drug-resistant epilepsies.Psychoradiology · 2025Article
- Subcortical Alterations in Newly Diagnosed Epilepsy and Associated Changes in Brain Connectivity and Cognition.Human brain mapping · 2024Review
- Alterations of apparent diffusion coefficient from ultra high b-values in the bilateral thalamus and striatum in MRI-negative drug-resistant epilepsy.Epilepsia open · 2024Article
- Article
- Therapeutic approaches targeting seizure networks.Frontiers in network physiology · 2024Review
- Revisiting the concept of drug-resistant epilepsy: A TASK1 report of the ILAE/AES Joint Translational Task Force.Epilepsia · 2023Article
- Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes.NeuroImage. Clinical · 2023Article
- The evolution of antiseizure medication therapy selection in adults: Is artificial intelligence -assisted antiseizure medication selection ready for prime time?Journal of central nervous system disease · 2023Review
- Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications.Brain communications · 2023Article
- Structural networking of the developing brain: from maturation to neurosurgical implications.Frontiers in neuroanatomy · 2023Review
- Network differences based on arterial spin labeling related to anti-seizure medication response in focal epilepsy.Neuroradiology · 2022Article
- Integrating Network Neuroscience Into Epilepsy Care: Progress, Barriers, and Next Steps.Epilepsy currentsReview
- The cumulative impact of seizures: the science underlying how seizures beget seizures.Frontiers in neurologyReview
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
Abstract
Despite an expanding literature on brain alterations in patients with longstanding epilepsy, few neuroimaging studies investigate patients with newly diagnosed focal epilepsy (NDfE). Understanding brain network impairments at diagnosis is necessary to elucidate whether or not brain abnormalities are principally due to the chronicity of the disorder and to develop prognostic markers of treatment outcome. Most adults with NDfE do not have MRI-identifiable lesions and the reasons for seizure onset and refractoriness are unknown. We applied structural connectomics to T1-weighted and multi-shell diffusion MRI data with generalized q-sampling image reconstruction using Network Based Statistics (NBS). We scanned 27 patients within an average of 3.7 (SD = 2.9) months of diagnosis and anti-epileptic drug treatment outcomes were collected 24 months after diagnosis. Seven patients were excluded due to lesional NDfE and outcome data was available in 17 patients. Compared to 29 healthy controls, patients with non-lesional NDfE had connectomes with significantly decreased quantitative anisotropy in edges connecting right temporal, frontal and thalamic nodes and increased diffusivity in edges between bilateral temporal, frontal, occipital and parietal nodes. Compared to controls, patients with persistent seizures showed the largest effect size (|d|>=1) for decreased anisotropy in right parietal edges and increased diffusivity in edges between left thalamus and left parietal nodes. Compared to controls, patients who were rendered seizure-free showed the largest effect size for decreased anisotropy in the edge connecting the left thalamus and right temporal nodes and increased diffusivity in edges connecting right frontal nodes. As demonstrated by large effect sizes, connectomes with decreased anisotropy (edge between right frontal and left insular nodes) and increased diffusivity (edge between right thalamus and left parietal nodes) were found in patients with persistent seizures compared to patients who became seizure-free. Patients who had persistent seizures showed larger effect sizes in all network metrics than patients who became seizure-free when compared to each other and compared to controls. Furthermore, patients with focal-to-bilateral tonic-clonic seizures (FBTCS, N = 11) had decreased quantitative anisotropy in a bilateral network involving edges between temporal, parietal and frontal nodes with greater effect sizes than those of patients without FBTCS (N = 9). NBS findings between patients and controls indicated that structural network changes are not necessarily a consequence of longstanding refractory epilepsy and instead are present at the time of diagnosis. Computed effect sizes suggest that there may be structural network MRI-markers of future pharmacoresistance and seizure severity in patients with a new diagnosis of focal epilepsy.
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