Artificial intelligence in neurology: opportunities, challenges, and policy implications
S Voigtlaender, J Pawelczyk, M Geiger, EJ Vaios… - Journal of …, 2024 - Springer
Neurological conditions are the leading cause of disability and mortality combined,
demanding innovative, scalable, and sustainable solutions. Brain health has become a …
demanding innovative, scalable, and sustainable solutions. Brain health has become a …
Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits
The neurological condition epilepsy is demanding and even fatal. Electroencephalogram
(EEG)-based epilepsy detection still faces various difficulties. EEG readings fluctuate, and …
(EEG)-based epilepsy detection still faces various difficulties. EEG readings fluctuate, and …
The digital twin brain: A bridge between biological and artificial intelligence
In recent years, advances in neuroscience and artificial intelligence have paved the way for
unprecedented opportunities to understand the complexity of the brain and its emulation …
unprecedented opportunities to understand the complexity of the brain and its emulation …
Critical-like brain dynamics in a continuum from second-to first-order phase transition
The classic brain criticality hypothesis postulates that the brain benefits from operating near
a continuous second-order phase transition. Slow feedback regulation of neuronal activity …
a continuous second-order phase transition. Slow feedback regulation of neuronal activity …
Atypical functional connectivity hierarchy in Rolandic epilepsy
Q Zhang, J Li, Y He, F Yang, Q Xu, S Larivière… - Communications …, 2023 - nature.com
Functional connectivity hierarchy is an important principle in the process of brain functional
organization and an important feature reflecting brain development. However, atypical brain …
organization and an important feature reflecting brain development. However, atypical brain …
[HTML][HTML] Epilepsy: Mitochondrial connections to the 'Sacred'disease
WH Moos, DV Faller, IP Glavas, I Kanara, K Kodukula… - Mitochondrion, 2023 - Elsevier
Over 65 million people suffer from recurrent, unprovoked seizures. The lack of validated
biomarkers specific for myriad forms of epilepsy makes diagnosis challenging. Diagnosis …
biomarkers specific for myriad forms of epilepsy makes diagnosis challenging. Diagnosis …
[HTML][HTML] From phenomenological to biophysical models of seizures
Epilepsy is a complex disease that requires various approaches for its study. This short
review discusses the contribution of theoretical and computational models. The review …
review discusses the contribution of theoretical and computational models. The review …
Linking fast and slow: The case for generative models
A pervasive challenge in neuroscience is testing whether neuronal connectivity changes
over time due to specific causes, such as stimuli, events, or clinical interventions. Recent …
over time due to specific causes, such as stimuli, events, or clinical interventions. Recent …
The stochastic digital human is now enrolling for in silico imaging trials—methods and tools for generating digital cohorts
Randomized clinical trials, while often viewed as the highest evidentiary bar by which to
judge the quality of a medical intervention, are far from perfect. In silico imaging trials are …
judge the quality of a medical intervention, are far from perfect. In silico imaging trials are …
Flagship Afterthoughts: Could the Human Brain Project (HBP) Have Done Better?
Y Frégnac - Eneuro, 2023 - eneuro.org
Commenting about science has risks. Being critical sometimes raises strong opposing
reactions. People work so hard and leaders do not like to see their strategies under fire …
reactions. People work so hard and leaders do not like to see their strategies under fire …