Seizure detection from EEG signals is crucial for diagnosing and treating neurological
disorders. However, accurately detecting seizures is challenging due to the complexity and …

Brain-computer interfaces (BCIs) aim to directly bridge the human brain and the outside
world through acquiring and processing the brain signals in real time. In recent two decades …

To what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ
in their capability to locate sources of deep brain activity is far from evident. Compared to …

Over one third of the estimated 3 million people with epilepsy in the United States are
medication resistant. Responsive neurostimulation from chronically implanted electrodes …

Identifying the functional networks underpinning indirectly observed processes poses an
inverse problem for neurosciences or other fields. A solution of such inverse problems …

Abstract Protein Energy Malnutrition (PEM) has lifelong consequences on brain
development and cognitive function. We studied the lifelong developmental trajectories of …

Epilepsy is one of the most common disorders of the brain. Clinically, to corroborate an
epileptic seizure-like symptom and to find the seizure localization, electroencephalogram …

Oscillatory processes at all spatial scales and on all frequencies underpin brain function.
Electrophysiological Source Imaging (ESI) is the data-driven brain imaging modality that …

Epileptiform discharges are of fundamental importance in understanding the physiology of
epilepsy. To aid in the clinical diagnosis, classification, prognosis, and treatment of epilepsy …

The high temporal resolution of Electroencephalography (EEG), together with its accessible
cost, makes it the primary choice for noninvasive brain imaging in psychophysiology as well …