Neuroimaging and connectomics of drug‐resistant epilepsy at multiple scales: From focal lesions to macroscale networks
Epilepsy is among the most common chronic neurologic disorders, with 30%‐40% of
patients having seizures despite antiepileptic drug treatment. The advent of brain imaging …
patients having seizures despite antiepileptic drug treatment. The advent of brain imaging …
Virtual resection predicts surgical outcome for drug-resistant epilepsy
Patients with drug-resistant epilepsy often require surgery to become seizure-free. While
laser ablation and implantable stimulation devices have lowered the morbidity of these …
laser ablation and implantable stimulation devices have lowered the morbidity of these …
Characterizing the role of the structural connectome in seizure dynamics
How does the human brain's structural scaffold give rise to its intricate functional dynamics?
This is a central question in translational neuroscience that is particularly relevant to …
This is a central question in translational neuroscience that is particularly relevant to …
Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning
Objective The objective of this study was to build a supervised machine learning-based
classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of …
classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of …
[HTML][HTML] Different patterns of white matter changes after successful surgery of mesial temporal lobe epilepsy
Objectives To explore the dynamic changes of white matters following anterior temporal
lobectomy (ATL) in mesial temporal lobe epilepsy (MTLE) patients who achieved seizure …
lobectomy (ATL) in mesial temporal lobe epilepsy (MTLE) patients who achieved seizure …
[HTML][HTML] Quantification and selection of ictogenic zones in epilepsy surgery
Network models of brain dynamics provide valuable insight into the healthy functioning of
the brain and how this breaks down in disease. A pertinent example is the use of network …
the brain and how this breaks down in disease. A pertinent example is the use of network …
Node abnormality predicts seizure outcome and relates to long-term relapse after epilepsy surgery
Objective We assessed pre-operative structural brain networks and clinical characteristics of
patients with drug resistant temporal lobe epilepsy (TLE) to identify correlates of post …
patients with drug resistant temporal lobe epilepsy (TLE) to identify correlates of post …
Personalised network modelling in epilepsy
Epilepsy is a disorder characterised by spontaneous, recurrent seizures. Both local and
network abnormalities have been associated with epilepsy, and the exact processes …
network abnormalities have been associated with epilepsy, and the exact processes …
[PDF][PDF] Article type: Critical Review–Invited Commentary
Epilepsy is among the most common chronic neurological disorders with 30-40% of patients
suffering from seizures despite antiepileptic drug treatment. The advent of brain imaging and …
suffering from seizures despite antiepileptic drug treatment. The advent of brain imaging and …
[图书][B] Establishing the Status of White Matter Pathways in Post-Stroke Aphasia and Temporal Lobe Epilepsy Using Anatomical Connectivity Mapping
N Busby - 2019 - search.proquest.com
Since the classical work Wernicke it has been understood that connections in the brain are
important for higher-order behaviours. This disconnection hypothesis has been revisited …
important for higher-order behaviours. This disconnection hypothesis has been revisited …