Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
revolutionary approach to investigate how the brain encodes information. By considering …

Multivariate pattern analysis (MVPA) approaches can be applied to the topographic
distribution of event‐related potential (ERP) signals to “decode” subtly different stimulus …

Hallucinations and perceptual abnormalities in psychosis are thought to arise from
imbalanced integration of prior information and sensory inputs. We combined …

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in
school‐age children. Attentional orientation is a potential clinical diagnostic marker to aid in …

In this study, we used multivariate decoding methods to study processing differences
between canonical (montring and count) and noncanonical finger numeral configurations …

Successful social communication requires accurate perception and maintenance of invariant
(face identity) and variant (facial expression) aspects of faces. While numerous studies …

The change detection task is a widely used paradigm to examine visual working memory
processes. Participants memorize a set of items and then, try to detect changes in the set …

The ability to respond appropriately to sensory information received from the external
environment is among the most fundamental capabilities of central nervous systems. In the …

Abstract Objectives People with Schizophrenia (SZ) show deficits in auditory and
audiovisual speech recognition. It is possible that these deficits are related to aberrant early …

EEG preprocessing varies widely between studies, but its impact on classification
performance remains poorly understood. To address this gap, we analyzed seven …