David López-García

Multivariate pattern analysis identifies potential inter-trial resting-state EEG biomarkers in fibromyalgia

This study uses multivariate pattern analysis to identify resting-state EEG biomarkers in fibromyalgia patients, showing improved classification when incorporating anxiety and symptom duration.

Proactive selective attention across competition contexts

This study investigates how anticipated competition levels modulate preparatory brain activity and task performance using EEG and MVPA in a sex judgment task.

Context-dependent neural preparation for information relevance vs. probability

This study uses fMRI and multivariate decoding to show that neural preparation for stimulus relevance and probability involves distinct brain regions with some overlap in the fusiform gyrus.

Top-down specific preparatory activations for Selective Attention and Perceptual Expectations

The paper uses EEG and multivariate pattern analysis to show that selective attention and perceptual expectation involve distinct neural mechanisms during preparatory processing.

MVPAlab: A Machine Learning decoding toolbox for multidimensional electroencephalography data

MVPAlab is a MATLAB toolbox for analyzing multidimensional EEG and MEG data using machine learning, offering preprocessing, decoding, and statistical analysis tools.

Multivariate pattern analysis techniques for electroencephalography data to study interference effects

This study uses multivariate pattern analysis on EEG data from a Flanker task to investigate conflict-related neural processes and finds evidence of reinstantiation dynamics.