Jonathan J. Horsley

ORCID: 0009-0003-3445-9784
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About
Contact & Profiles
Research Areas
  • Epilepsy research and treatment
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Pharmacological Effects and Toxicity Studies
  • Glioma Diagnosis and Treatment
  • Neonatal and fetal brain pathology
  • Diet and metabolism studies

Newcastle University
2022-2024

Abstract Objective Identifying abnormalities on interictal intracranial electroencephalogram (iEEG), by comparing patient data to a normative map, has shown promise for the localization of epileptogenic tissue and prediction outcome. The approach typically uses short segments approximately 1 min. However, temporal stability findings not been established. Methods Here, we generated map iEEG in nonpathological brain from 249 patients. We computed regional band power separate cohort 39 patients...

10.1111/epi.17663 article EN cc-by Epilepsia 2023-05-25

When investigating suitability for epilepsy surgery, people with drug-refractory focal may have intracranial EEG (iEEG) electrodes implanted to localise seizure onset. Diffusion-weighted magnetic resonance imaging (dMRI) be acquired identify key white matter tracts surgical avoidance. Here, we investigate whether structural connectivity abnormalities, inferred from dMRI, used in conjunction functional iEEG abnormalities aid localisation of the epileptogenic zone (EZ), improving outcomes epilepsy.

10.1016/j.ebiom.2023.104848 article EN cc-by EBioMedicine 2023-10-27

Magnetic resonance imaging (MRI) is a crucial tool to identify brain abnormalities in wide range of neurological disorders. In focal epilepsy MRI used structural cerebral abnormalities. For covert lesions, machine learning and artificial intelligence algorithms may improve lesion detection if are not evident on visual inspection. The success this approach depends the volume quality training data. Herein, we release an open-source dataset preprocessed scans from 442 individuals with...

10.48550/arxiv.2406.06731 preprint EN arXiv (Cornell University) 2024-06-10

Patients with temporal lobe epilepsy (TLE) exhibit both volumetric and structural connectivity abnormalities relative to healthy controls. How these inter-relate their mechanisms are unclear. We computed grey matter changes white in 144 patients unilateral TLE 96 Regional volumes were calculated using T1-weighted MRI, while was derived fibre tractography from diffusion-weighted MRI. For each regional volume connection strength, we the effect size between patient control groups a group-level...

10.1016/j.nicl.2022.103105 article EN cc-by NeuroImage Clinical 2022-01-01

Abstract Successful epilepsy surgery depends on localizing and resecting cerebral abnormalities networks that generate seizures. Abnormalities, however, may be widely distributed across multiple discontiguous areas. We propose spatially constrained clusters as candidate areas for further investigation potential resection. quantified the spatial overlap between abnormality cluster subsequent resection, hypothesizing a greater in seizure‐free patients. Thirty‐four individuals with refractory...

10.1002/epi4.12767 article EN cc-by Epilepsia Open 2023-05-31

Status epilepticus (SE) carries risks of morbidity and mortality. Experimental studies have implicated the entorhinal cortex in prolonged seizures; however, large human cohorts are limited. We hypothesised that individuals with temporal lobe epilepsy (TLE) a history SE would more severe atrophy compared to others TLE no SE. 357 drug resistant 100 healthy controls were scanned on 3T MRI. For all subjects was segmented, parcellated, thickness calculated from T1-weighted anatomical scan....

10.48550/arxiv.2408.05789 preprint EN arXiv (Cornell University) 2024-08-11

Importance: Many individuals with drug-resistant epilepsy continue to have seizures after resective surgery. Accurate identification of focal brain abnormalities is essential for successful neurosurgical intervention. Current clinical approaches identify structural surgical targeting in do not use diffusion-weighted MRI (dMRI), despite evidence that dMRI are present and may relate the epileptogenic zone. Objective: To investigate whether resection diffusion relates post-operative seizure...

10.48550/arxiv.2410.03548 preprint EN arXiv (Cornell University) 2024-10-04

Abstract Objective Magnetic resonance imaging (MRI) is a crucial tool for identifying brain abnormalities in wide range of neurological disorders. In focal epilepsy, MRI used to identify structural cerebral abnormalities. For covert lesions, machine learning and artificial intelligence (AI) algorithms may improve lesion detection if are not evident on visual inspection. The success this approach depends the volume quality training data. Methods Herein, we release an open‐source data set...

10.1111/epi.18192 article EN Epilepsia 2024-12-05

Extra temporal lobe epilepsy (eTLE) may involve heterogenous widespread cerebral networks. We investigated the structural network of an eTLE cohort, at postulated epileptogenic zone later surgically removed, as a node: resection (RZ). hypothesized patients with abnormal connection to/from RZ to have proportionally increased abnormalities based on topological proximity RZ, in addition poorer post-operative seizure outcome. Structural and diffusion MRI were collected for 22 pre- post-surgery,...

10.1162/netn_a_00327 article EN cc-by Network Neuroscience 2023-01-01

Aperiodic activity is a physiologically distinct component of the electrophysiological power spectrum. It suggested to reflect balance excitation and inhibition in brain, within selected frequency bands. However, impact recurrent seizures on aperiodic remains unknown, particularly patients with severe bilateral seizures. Here, we hypothesised greater abnormality epileptogenic zone, focal tonic clonic (FBTC) seizures, earlier age seizure onset. Pre-operative magnetoencephalography (MEG)...

10.48550/arxiv.2310.12080 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Objective: Identifying abnormalities in interictal intracranial EEG, by comparing patient data to a normative map, has shown promise for the localisation of epileptogenic tissue and prediction outcome. The approach typically uses short segments around one minute. However, temporal stability findings not been established. Methods: Here, we generated map iEEG non-pathological brain from 249 patients. We computed regional band power separate cohort 39 patients duration their monitoring period...

10.48550/arxiv.2302.05734 preprint EN cc-by arXiv (Cornell University) 2023-01-01

When investigating suitability for surgery, people with drug-refractory focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure onset. Diffusion-weighted magnetic resonance imaging (dMRI) be acquired identify key white matter tracts surgical avoidance. Here, we investigate whether structural connectivity abnormalities, inferred from dMRI, used in conjunction functional iEEG abnormalities aid localisation and resection of the epileptogenic zone (EZ), improve...

10.48550/arxiv.2304.03192 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Successful epilepsy surgery depends on localising and resecting cerebral abnormalities networks that generate seizures. Abnormalities, however, may be widely distributed across multiple discontiguous areas. We propose spatially constrained clusters as candidate areas for further investigation, potential resection. quantified the spatial overlap between abnormality cluster subsequent resection, hypothesising a greater in seizure-free patients. Thirty-four individuals with refractory focal...

10.48550/arxiv.2304.05192 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Patients with temporal lobe epilepsy (TLE) exhibit both volumetric and structural connectivity abnormalities relative to healthy controls. How these inter-relate their mechanisms are unclear. We computed grey matter changes white in 144 patients unilateral TLE 96 Regional volumes were calculated using T1-weighted MRI, while was derived fibre tractography from diffusion-weighted MRI. For each regional volume connection strength, we the effect size between patient control groups a group-level...

10.48550/arxiv.2202.02590 preprint EN cc-by arXiv (Cornell University) 2022-01-01
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