Ahmad Beyh

This paper analyzes neuroscience seminar transcripts to track scientific trends and predict future discourse, finding limited predictive power in spoken scientific conversations.

The paper identifies attentional lateralization phenotypes and multidomain brain organization profiles linked to heritable structural and functional connectivity patterns.

The paper investigates structural connectivity of OFC-NAcc pathways and their associations with psychopathological traits using diffusion imaging and tractography in a healthy population.

This study shows that bioRNNs, which incorporate brain geometry, better predict fMRI activity and replicate brain hierarchy than other RNNs.

This study investigates how individual differences in speech monitoring relate to functional and structural brain correlates under delayed auditory feedback.

MegaTrack provides a framework for efficient and anatomically accurate analysis of large-scale tractography datasets, enabling rapid dissection and metric extraction with high reproducibility and reduced processing time.

The paper develops a framework using optimal control theory to estimate brain structure-function interactions from MRI data, showing correlations between self-inhibition parameters and neural timescales across species.

This study shows that including zero-phase-delay connectivity improves the reliability and prognostic ability of functional connectivity metrics in neural populations.

This study benchmarks predictive models for long-term stroke outcomes using a global consortium, revealing mechanistic diversity and key predictors across motor, cognitive, and emotional domains.

This paper shows that perceptual axioms, as experienced in optical illusions, cannot align with Euclidean geometry, indicating a fundamental disconnect between perceptual and mathematical logic.

This study investigates the neural basis of conscious visual awareness in Riddoch syndrome using multimodal MRI, finding that V5 activity correlates with conscious perception of motion in blind fields.

This study investigates neural correlates of abstract beauty by analyzing brain activity during aesthetic ratings of abstract paintings, finding similar patterns to facial beauty in visual and medial frontal cortex activity.

This paper introduces hypervoxels to improve neuroimaging analysis by integrating spatial and anatomical information from diffusion MRI data, enhancing detection of white matter effects in ALS.

The paper identifies a novel white matter pathway, the medial occipital longitudinal tract, connecting the parahippocampal place area to early visual cortex, suggesting it supports early visuospatial information encoding.