Machine learning applications in epilepsy
B Abbasi, DM Goldenholz - Epilepsia, 2019 - Wiley Online Library
Abstract Machine learning leverages statistical and computer science principles to develop
algorithms capable of improving performance through interpretation of data rather than …
algorithms capable of improving performance through interpretation of data rather than …
Seizure prediction—ready for a new era
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
Normative intracranial EEG maps epileptogenic tissues in focal epilepsy
Planning surgery for patients with medically refractory epilepsy often requires recording
seizures using intracranial EEG. Quantitative measures derived from interictal intracranial …
seizures using intracranial EEG. Quantitative measures derived from interictal intracranial …
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 …
Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset
EC Conrad, SB Tomlinson, JN Wong, KF Oechsel… - Brain, 2020 - academic.oup.com
The location of interictal spikes is used to aid surgical planning in patients with medically
refractory epilepsy; however, their spatial and temporal dynamics are poorly understood. In …
refractory epilepsy; however, their spatial and temporal dynamics are poorly understood. In …
An overview of EEG-based machine learning methods in seizure prediction and opportunities for neurologists in this field
B Maimaiti, H Meng, Y Lv, J Qiu, Z Zhu, Y Xie, Y Li… - Neuroscience, 2022 - Elsevier
The unpredictability of epileptic seizures is one of the most problematic aspects of the field of
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …
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 …
Genome sequencing of the sweetpotato whitefly Bemisia tabaci MED/Q
W Xie, C Chen, Z Yang, L Guo, X Yang, D Wang… - …, 2017 - academic.oup.com
The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental
crop pest. It damages host plants through both phloem feeding and vectoring plant …
crop pest. It damages host plants through both phloem feeding and vectoring plant …
[HTML][HTML] A framework For brain atlases: Lessons from seizure dynamics
Brain maps, or atlases, are essential tools for studying brain function and organization. The
abundance of available atlases used across the neuroscience literature, however, creates …
abundance of available atlases used across the neuroscience literature, however, creates …
Artificial intelligence in epilepsy phenotyping
Artificial intelligence (AI) allows data analysis and integration at an unprecedented
granularity and scale. Here we review the technological advances, challenges, and future …
granularity and scale. Here we review the technological advances, challenges, and future …