Erhan Genç

The paper examines brain correlates of fear acquisition and extinction using multimodal neuroimaging data and identifies overlapping and distinct brain regions involved in these processes.

This study evaluates three voxel placement methods for MRS, finding that SSVR significantly improves reliability and reduces metabolite variability in challenging regions.

The paper benchmarks a TMS-compatible Sushi MR setup for whole-brain fMRI, showing it matches a 64-channel reference in resting-state networks and improves task-fMRI with multi-echo combination.

This study characterizes an fMRI-based SRTT protocol and identifies consistent neural signatures for motor sequence learning, providing targets for tDCS interventions.

This study examines temporal dynamics of neural responses during fear conditioning and extinction by analyzing three 2s segments within CS presentation, revealing distinct activation patterns across and within trials.

The paper predicts individual differences in fear and cognitive learning and extinction using multimodal neural connectivity patterns from a large dataset.

This study links polygenic scores for intelligence to general intelligence using resting-state EEG graph metrics, showing parieto-frontal brain connectivity mediates the genetic association.

This study identifies RSFC changes beyond traditional fear networks after fear learning in humans.

The paper investigates how polygenic scores for intelligence relate to general intelligence through white matter microstructural properties, finding that neurite density mediates this relationship.

This study uses fMRI to investigate extinction learning in actively participating pigeons, revealing a left-hemispheric telencephalic network involved in the process.

This study links brain properties to fear acquisition and extinction using multi-modal fMRI data, identifying overlapping and distinct brain regions involved in these processes.

This paper introduces a novel fMRI scheme that simultaneously acquires reversed phase-encoding EPI data in a single session, reducing acquisition time and energy deposition while evaluating distortion correction's impact on submillimetre fMRI.

This study examines brain structure-cognition associations in adolescents using a large dataset, finding that frontal, temporal, and occipital regions show strong age-related variability in these links.

This study examines associations between general intelligence and graph-theoretical properties of brain networks across four datasets but finds inconsistent and non-replicable results.

This study links polygenic scores for intelligence and educational attainment to brain structure and network efficiency, showing mediation through fiber connectivity and parieto-frontal surface area.

The paper identifies white matter regions consistently associated with general intelligence across four independent samples using tract-based spatial statistics.

This study evaluates polygenic scores for intelligence and cognitive performance in a sample of 557 adults, finding they predict different facets of intelligence with varying accuracy.

This study investigates myelination in scene-network tracts across age groups using multimodal neuroimaging and finds increasing myelin from middle childhood to adulthood in specific regions.

The paper investigates the relationship between brain structure and conditioned fear reactions, finding that gray matter density correlates with fear responses but neurite architecture does not.

This study combines myelin water imaging and diffusion tensor tractography to show that myelination continues beyond late childhood in most major white matter tracts.