Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …

The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …

The intricate processes of microbiota-gut-brain communication in modulating human
cognition and emotion, especially in the context of mood disorders, have remained elusive …

Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …

Behavioral activities that require control over automatic routines typically feel effortful and
result in cognitive fatigue. Beyond subjective report, cognitive fatigue has been conceived as …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

The electroencephalogram (EEG) is one of the oldest technologies to measure neuronal
activity of the human brain. It has its undisputed value in clinical diagnosis, particularly (but …

'Big data'is massive amounts of information that can work wonders. It has become a topic of
special interest for the past two decades because of a great potential that is hidden in it …

Traditional neuroimage analysis pipelines involve computationally intensive, time-
consuming optimization steps, and thus, do not scale well to large cohort studies with …