Pedro M. Paz‐Alonso

The paper investigates neural synchronization during sentence comprehension and finds that it is driven by structural rather than lexical features, with distinct frequency and phase dimensions for structural processing.

The paper reveals a dual thalamic drive in intra-amygdala wiring in mice and humans, challenging the traditional serial flow model.

This study maps thalamo-amygdala pathways in humans using high-resolution tractography, identifying robust connections similar to those found in non-human animals.

The paper demonstrates specific thalamic nucleus activation during language processing tasks using fMRI in human participants.

NEUROLINGUA provides a database of MRI data from multilingual individuals to study how sociolinguistic factors shape language comprehension networks.

The paper compares volumetric and surface-based pRF mapping analyses, finding that surface upsampling increases pRF coverage in the central visual field due to cortical magnification.

This paper introduces a Bayesian segmentation algorithm for thalamic nuclei using diffusion MRI and an improved histological atlas, showing improved accuracy in identifying nuclei and detecting Alzheimer's disease involvement.

The paper introduces RTP2, a reproducible and automated method for white-matter tractography and tractometry using diffusion MRI data.

The paper examines the structural brain correlates of reading abilities and finds genetic influences on brain-reading associations, highlighting left hemisphere cortical measures as partially genetically driven.

This study investigates the functional roles of magnocellular and parvocellular pathways in visual recognition using fMRI, finding a gradient in activation and connectivity across visual cortex regions.

This study uses fMRI to investigate whether multilinguals use similar prefrontal mechanisms for word retrieval as monolinguals, finding proactive control involves boosting target language lexical activation.

This study investigates how the human brain encodes memories of task performance during introspection, finding similar brain activity patterns during on-task and introspection states with distinct connectivity profiles.