A University of Iowa researcher has won more than $500,000 in grants to merge machine learning with a technique called ...

DEPRESSION treatment response was predicted with high accuracy using short segments of resting-state electroencephalography (EEG), according to new research that modelled selective serotonin reuptake ...

Scientists found that tuning into joyful or soft music can cut motion sickness by over half, offering a simple brain-based solution to nausea during travel. Study: A study on the mitigating effect of ...

Abstract: PD is progressive neurodegenerative ailment that significantly affects life quality owing to death of dopamine-generating neurons in brain's area of substantia nigra. Symptoms include ...

A new study shows that even a moderate dose of caffeine alters brain activity during sleep, increasing complexity and nudging neural systems toward a high-efficiency processing state, especially in ...

Abstract: Electroencephalogram (EEG) analysis is a critical tool for diagnosing various neurological disorders. Intelligent EEG models facilitate the analysis and diagnosis of these conditions.

Advances in intracranial electroencephalography (iEEG) and neurophysiology have enabled the study of previously inaccessible brain regions with high fidelity temporal and spatial resolution. Studies ...

In machine learning community, graph-based semi-supervised learning (GSSL) approaches have attracted more extensive research due to their elegant mathematical formulation and good performance. However ...

Brain activation in response to spoken motor commands can be detected by electroencephalography (EEG) in clinically unresponsive patients. The prevalence and prognostic importance of a dissociation ...