Julio A. Peraza

The paper aligns white matter tracts with canonical functional brain networks using an atlas and meta-analytic decoding, revealing structural-functional organization.

The paper investigates habenula functional connectivity differences in autistic individuals compared to neurotypical controls using rs-fMRI data from ABIDE.

This study examines changes in hippocampal functional connectivity in students undergoing active vs. lecture-based physics learning using fMRI.

The paper uses fMRI to compare brain state dynamics between active and lecture-based physics learning, finding distinct neural patterns associated with each approach.

NiCLIP predicts cognitive tasks and domains from brain activation maps using a contrastive language-image model trained on neuroscientific articles.

This paper develops a framework for image-based meta-analysis using NeuroVault data, showing that manual selection provides precise results while heuristic methods are effective for heterogeneous domains.

This paper reviews neuroimaging meta-analyses, finding that most follow PRISMA guidelines but have issues with pre-registration, search strategies, and study numbers.

The DIVA Study investigates intra-individual variability in brain and behavior across the menstrual cycle in premenopausal women using multimodal neuroimaging and physiological data.

This paper develops and evaluates methods for decoding functional connectivity gradients in fMRI data using meta-analytic techniques and k-means segmentation.

The paper investigates how STEM anxiety profiles correlate with brain connectivity during physics tasks using fMRI and latent profile analysis.