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 …

Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits

AK Dutta, M Raparthi, M Alsaadi, MW Bhatt… - Multimedia Tools and …, 2024 - Springer
The neurological condition epilepsy is demanding and even fatal. Electroencephalogram
(EEG)-based epilepsy detection still faces various difficulties. EEG readings fluctuate, and …

The digital twin brain: A bridge between biological and artificial intelligence

H Xiong, C Chu, L Fan, M Song, J Zhang, Y Ma… - Intelligent …, 2023 - spj.science.org
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 …

Critical-like brain dynamics in a continuum from second-to first-order phase transition

SH Wang, F Siebenhühner, G Arnulfo… - Journal of …, 2023 - Soc Neuroscience
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 …

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 …

[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 …

[HTML][HTML] From phenomenological to biophysical models of seizures

D Depannemaecker, A Ezzati, HE Wang, V Jirsa… - Neurobiology of …, 2023 - Elsevier
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 …

Linking fast and slow: The case for generative models

J Medrano, K Friston, P Zeidman - Network Neuroscience, 2024 - direct.mit.edu
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 …

The stochastic digital human is now enrolling for in silico imaging trials—methods and tools for generating digital cohorts

A Badano, MA Lago, E Sizikova… - Progress in …, 2023 - iopscience.iop.org
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 …

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 …