Miguel S. Castelo-Branco

This study analyzes fMRI data from OCD patients and controls to identify age-specific differences in brain activation during inhibitory control and error processing.

The paper examines how signal quality affects inter-individual variability in fNIRS data and introduces an open dataset with multi-task recordings and peripheral physiology measures.

This study examines age-related impairments in sensory-motor reconfiguration and pupil-linked arousal during decision-making tasks, finding reduced flexibility in switching stimulus-response mappings in older adults.

This paper develops a music-based real-time fMRI neurofeedback interface that modulates interhemispheric connectivity and improves mood in healthy adults.

This paper shows that neurofeedback therapy for autism improves facial expression recognition by increasing connectivity in higher-level visual regions and reducing connectivity in lower-level regions, correlating with clinical improvements.

The paper investigates inter-retinal coupling and its predictive relationship with cortical neurovascular responses in health and disease, finding that interocular coupling correlates with BOLD responses and may serve as a biomarker in diabetes.

This study evaluates AAV9-miR-ATXN3 in a non-human primate model of SCA3, showing reduced neuropathology through allele-specific silencing of mutant ATXN3.

The paper uses multivariate pattern analysis to decode emotion categories from brain activity during self-selected music listening, revealing consistent neural correlates across auditory, motor, and interoceptive regions.

The paper uses a computational model to test hypotheses about neural adaptation and population recruitment in visual area MT, finding that smaller neuronal populations contribute to reduced responses to coherent stimuli.

This study investigates whether the heartbeat-evoked potential (HEP) mediates the effect of attention on reaction time in young and older adults, finding no evidence of such mediation.

This paper develops and tests a multichannel electrocutaneous device for non-invasive somatosensory stimulation during fMRI, confirming its safety and ability to elicit expected brain activity.

The paper uses fMRI to decode music-evoked valence and arousal by analyzing neural correlates and musical features, finding expressive features modulate reward and emotion networks.

EAGER establishes a registry of autistic individuals and those with rare genetic conditions for genomic and phenotypic research, aiming to improve clinical trials and health outcomes through data sharing.

This study identifies brain circuits involved in opioid memory formation and relapse by analyzing functional connectivity in rats during drug-context associations.

The paper uses fMRI-based adaptation to show reciprocal inhibition in hMT+/V5 influences perceptual decision and reverses repetition suppression.

This study investigates the effect of neonatal Kiss1 signaling blockage on sex-like phenotypes in rats, finding that Kiss1 modulates testosterone surge and sexual behavior with sex-specific effects.

This paper evaluates HMW fractionation as a complementary proteomics approach to identify serum biomarkers for neurodegenerative diseases, showing improved discrimination compared to direct serum analysis.

This paper shows that subtractive adaptation is more effective and general than divisive adaptation in binocular rivalry, with noise-filtering properties.

This study investigates the neuroprotective effects of carbon monoxide (CO) in mice after ischemic stroke using MRI, showing improved blood-brain barrier integrity and metabolic patterns.

This study investigates mitochondrial dysfunction and redox changes in early Huntington disease stages using human and mouse models, showing increased mitochondrial activity and altered morphology.

This study identifies a two-stage neural framework for biological motion processing, showing distinct contributions from dorsal and ventral brain regions.

This study examines how age-related changes in brain signal variability affect evoked responses and behaviour, finding that reduced ongoing signal variability in older adults does not impact reaction time variability when adjusted for.

This study compares EEG source reconstruction algorithms with different fMRI-derived spatial priors to determine the best approach for accurate source localization.

The paper investigates whether facial emotion cues modulate early EEG components like N170, P100, and P250 during face recognition, finding that non-neutral expressions affect N170 and P250 amplitudes but not P100.

The paper links age-related declines in visual perception to changes in retinal and cortical structure and function in healthy adults.

This paper evaluates State-Space Granger Causality with Time Reversed Testing on simulated BOLD data, finding it outperforms classical methods in detecting causal relationships.

The paper uses complex network analysis and machine learning to classify autism spectrum disorder from developmental delay using gene dosage and Gene Ontology features, achieving 85.18% accuracy.