A5013619724- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- EEG and Brain-Computer Interfaces
- Epilepsy research and treatment
- Neurological disorders and treatments
- Structural Engineering and Vibration Analysis
- Traumatic Brain Injury Research
- Structural Health Monitoring Techniques
- Neuroscience and Neuropharmacology Research
- Prostate Cancer Diagnosis and Treatment
- Neurological and metabolic disorders
- Traumatic Brain Injury and Neurovascular Disturbances
- Prostate Cancer Treatment and Research
- Autopsy Techniques and Outcomes
- Advanced MRI Techniques and Applications
- Scientific Computing and Data Management
- Genomic variations and chromosomal abnormalities
- Neuroscience and Neural Engineering
- Parkinson's Disease Mechanisms and Treatments
- Genetic Neurodegenerative Diseases
- Cell Image Analysis Techniques
Newcastle University
2019-2021
Queen's University
2020
UCL Biomedical Research Centre
2020
University College London
2020
University of Newcastle Australia
2020
Epilepsy Society
2020
National Hospital for Neurology and Neurosurgery
2020
INESC TEC
2014-2017
Universidade do Porto
2014-2016
Institute for Systems Engineering and Computers
2014-2015
Abstract Objectives Multi-centre, multi-vendor validation of artificial intelligence (AI) software to detect clinically significant prostate cancer (PCa) using multiparametric magnetic resonance imaging (MRI) is lacking. We compared a new AI solution, validated on separate dataset from different UK hospitals, the original multidisciplinary team (MDT)-supported radiologist’s interpretations. Materials and methods A Conformité Européenne (CE)-marked deep-learning (DL) computer-aided detection...
We assessed preoperative structural brain networks and clinical characteristics of patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates postsurgical seizure recurrences.We examined data from 51 TLE who underwent anterior resection (ATLR) 29 healthy controls. For each patient, using the structural, diffusion, postoperative MRI, we generated 2 networks: presurgery network surgically spared network. Standardizing these respect controls, determined number abnormal...
To characterise temporal lobe epilepsy (TLE) surgery-induced changes in brain network properties, as measured using diffusion weighted MRI, and investigate their association with postoperative seizure-freedom. For 48 patients who underwent anterior resection, MRI was acquired pre-operatively, 3–4 months post-operatively (N = 48), again 12 13). Data for 17 controls were also over the same period. After registering all subjects to a common space, we performed two complementary analyses of...
Abstract Background Deep Brain Stimulation (DBS) of the Globus pallidus internus (GPi) is gold standard treatment in medically refractory dystonia. Recent evidence indicates that stimulation effects are also due to axonal modulation and affection a fibre network. For GPi, pallidothalamic tracts known be major motor efferent pathways. The aim this study explore anatomic vicinity these DBS electrodes dystonia applying diffusion tractography. Methods Diffusion MRI was acquired ten patients...
<h3>Objective</h3> Studies of outcome after traumatic brain injury (TBI) are hampered by the lack robust severity measures that can accommodate spatial-anatomical and mechanistic heterogeneity. In this study we introduce a Mahalanobis distance measure (<i>M</i>) as an intrinsic combines in single score many ways given injured brain9s connectivity vary from healthy controls. Our objective is to test hypotheses <i>M</i> superior univariate (1) discriminating patients controls (2) correlating...
Traumatic brain injury (TBI) can result in acute cognitive deficits and diffuse axonal reflected white matter network alterations which may, or not later recover. Our objective is to first characterize the ways networks change after TBI second, investigate if those changes are associated with recovery of deficits. We aim make initial progress discerning relationships between changes, their (dys)functional correlates. analyse longitudinally acquired MRI from 23 patients (two time points: 6...
Background and purpose We evaluated two methods to identify mesial temporal sclerosis (MTS): visual inspection by experienced epilepsy neuroradiologists based on structural magnetic resonance imaging sequences automated hippocampal volumetry provided a processing pipeline the FMRIB Software Library. Methods This retrospective study included patients from monitoring unit database of our institution. All underwent brain in 1.5T 3T scanners with protocols that thin coronal T2, T1...
Deep Brain Stimulation (DBS) is the effective surgical treatment for drug-refractory movement disorders. In order to improve therapeutic outcome precise anatomic location of electrodes must be achieved. Thus, neurologists can achieve better clinical decisions and take a more careful selection best stimulation parameters DBS. this paper, we present system that accurately obtains 3D positions DBS relative anatomical structures. The latter based on segmentation deep brain structures multimodal...
Neuroscience is an increasingly multidisciplinary and highly cooperative field where neuroimaging plays important role. Neuroimaging rapid evolution demanding for a growing number of computing resources skills that need to be put in place at every lab. Typically each group tries setup their own servers workstations support needs, having learn from Operating System management specific neuroscience software tools details before any results can obtained setup. This learning process replicated...
Abstract Objective We assessed pre-operative structural brain networks and clinical characteristics of patients with drug resistant temporal lobe epilepsy (TLE) to identify correlates post-surgical seizure outcome at 1 year relapses up 5 years. Methods retrospectively examined data from 51 TLE who underwent anterior resection (ATLR) 29 healthy controls. For each patient, using the structural, diffusion, post-operative MRI, we generated two networks: ‘pre-surgery’ network ‘surgically-spared’...
Hippocampal sclerosis (HS) is the most common cause of temporal lobe epilepsy (TLE) and can be identified in magnetic resonance imaging as hippocampal atrophy subsequent volume loss. Detecting this kind abnormalities through simple radiological assessment could difficult, even for experienced radiologists. For that reason, volumetry generally used to support diagnosis. Manual traditional approach but it time consuming requires physician familiar with neuroimaging software tools. In paper, we...