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Status epilepticus (SE) carries risks of morbidity and mortality. Experimental studies have implicated the entorhinal cortex in prolonged seizures; however, studies in large human cohorts are limited. We hypothesised that individuals with…

Neurons and Cognition · Quantitative Biology 2024-08-13 Jonathan Horsley , Yujiang Wang , Callum Simpson , Vyte Janiukstyte , Karoline Leiberg , Beth Little , Jane de Tisi , John Duncan , Peter N. Taylor

Patients with temporal lobe epilepsy (TLE) exhibit both volumetric and structural connectivity abnormalities relative to healthy controls. How these abnormalities inter-relate and their mechanisms are unclear. We computed grey matter…

EEG slowing is reported in various neurological disorders including Alzheimer's, Parkinson's and Epilepsy. Here, we investigate alpha rhythm slowing in individuals with refractory temporal lobe epilepsy (TLE), compared to healthy controls,…

Temporal lobe surgical resection brings seizure remission in up to 80% of patients, with long-term complete seizure freedom in 41%. However, it is unclear how surgery impacts on the structural white matter network, and how the network…

Neurons and Cognition · Quantitative Biology 2020-09-30 Peter N Taylor , Nishant Sinha , Yujiang Wang , Sjoerd B Vos , Jane de Tisi , Anna Miserocchi , Andrew W McEvoy , Gavin P Winston , John S Duncan

Drug-resistant focal epilepsy is associated with abnormalities in the brain in both grey matter (GM) and superficial white matter (SWM). However, it is unknown if both types of abnormalities are important in supporting seizures. Here, we…

Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option for patients with drug-resistant seizures. However, accurately predicting surgical outcomes remains a significant challenge. This study…

Neurons and Cognition · Quantitative Biology 2025-07-22 Martin Guillemaud , Alice Longhena , Louis Cousyn , Valerio Frazzini , Bertrand Mathon , Vincent Navarro , Mario Chavez

Motivation: Characterising the changes in cortical morphology across the lifespan is fundamental for a range of research and clinical applications. Most studies to date have found a monotonic decrease in commonly used morphometrics, such as…

Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative brain magnetic resonance images (MRI) to assist surgeons in locating surgical targets and determining surgical paths. However, brain shift…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Jingjing Peng , Giorgio Fiore , Yang Liu , Ksenia Ellum , Debayan Daspupta , Keyoumars Ashkan , Andrew McEvoy , Anna Miserocchi , Sebastien Ourselin , John Duncan , Alejandro Granados

Quantification of brain morphology has become an important cornerstone in understanding brain structure. Measures of cortical morphology such as thickness and surface area are frequently used to compare groups of subjects or characterise…

Neurons and Cognition · Quantitative Biology 2020-03-25 Yujiang Wang , Tobias Ludwig , Bethany Little , Joe H Necus , Gavin Winston , Sjoerd B Vos , Jane de Tisi , John S Duncan , Peter N Taylor , Bruno Mota

Previous studies investigating associations between white matter alterations and duration of temporal lobe epilepsy (TLE) have shown differing results, and were typically limited to univariate analyses of tracts in isolation. In this study…

Neurons and Cognition · Quantitative Biology 2020-07-16 Tom W. Owen , Jane de Tisi , Sjoerd B. Vos , Gavin P. Winston , John S. Duncan , Yujiang Wang , Peter N. Taylor

Magnetic resonance imaging (MRI) is a crucial tool to identify brain abnormalities in a wide range of neurological disorders. In focal epilepsy MRI is used to identify structural cerebral abnormalities. For covert lesions, machine learning…

Imaging biomarkers in magnetic resonance imaging (MRI) are important tools for diagnosing, tracking and treating Alzheimer's disease (AD). Neurofibrillary tau pathology in AD is closely linked to neurodegeneration and generally follows a…

A method for the quantitative assessment of spatio-temporal structuring of brain activity is presented. This approach is employed in a longitudinal case study of a child with frontal lobe epilepsy (FLE) and tested against an age-matched…

Medical Physics · Physics 2009-05-26 W. Bunk , T. Aschenbrenner , G. Kluger , S. Springer

Objective: To identify if whole-brain structural network alterations in patients with temporal lobe epilepsy (TLE) and focal to bilateral tonic-clonic seizures (FBTCS) differ from alterations in patients without FBTCS. Methods: We…

The fetal cortical plate undergoes drastic morphological changes throughout early in utero development that can be observed using magnetic resonance (MR) imaging. An accurate MR image segmentation, and more importantly a topologically…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Priscille de Dumast , Hamza Kebiri , Chirine Atat , Vincent Dunet , Mériam Koob , Meritxell Bach Cuadra

Objective: To investigate cardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoBs. Methods: Body surface potentials were computed for 137…

There is increasing evidence on the importance of brain morphology in predicting and classifying mental disorders. However, the vast majority of current shape approaches rely heavily on vertex-wise analysis that may not successfully capture…

Computer Vision and Pattern Recognition · Computer Science 2021-05-26 Yuexuan Wu , Suprateek Kundu , Jennifer S. Stevens , Negar Fani , Anuj Srivastava

The study of brain morphology changes in normal individuals may capture aspects of functionally-relevant brain aging not fully indicated by gross volumetry. Despite the important role of subcortical brain structures in cognition, the…

Amyotrophic lateral sclerosis is a fatal disease that not only affects movement, speech, and breath but also cognition. Recent studies have focused on the use of language analysis techniques to detect ALS and infer scales for monitoring…

Computation and Language · Computer Science 2023-09-14 Carla Agurto , Guillermo Cecchi , Bo Wen , Ernest Fraenkel , James Berry , Indu Navar , Raquel Norel
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