Steven C. Cramer

CALM-VLM improves confidence and reliability in brain MRI classification by calibrating vision-language models and enabling selective prediction.

This study examines changes in periodic and aperiodic cortical activity in young, aged, and stroke-affected individuals, finding age-related and stroke-specific effects on spectral slopes and motor outcomes.

The paper introduces EEG-VLM, a method to map neuroanatomical lesions to multidimensional EEG data, finding frontal subcortical white matter lesions correlate with reduced parietal EEG responses.

This study compares data-driven and theory-based biomarkers for predicting chronic motor outcomes after stroke, finding data-driven models perform better, especially when using structural disconnection measures.

This study finds that smaller ipsilesional hippocampal volume is associated with worse upper limb sensorimotor impairment in chronic stroke patients, with a stronger effect in women.

This study shows that global brain health, measured by brain age, influences post-stroke sensorimotor outcomes and mediates the effect of lesion damage.

This study finds that smaller spared subcortical nuclei are linked to worse sensorimotor outcomes after stroke, varying by time since stroke and type of impairment.

This study links the timing of readiness potentials to evidence accumulation in decision-making, showing that RP duration predicts decision time and reflects response selection in the motor system.

This paper shows that using motor evoked potential (MEP) status to select stroke patients improves trial efficiency by reducing sample size and recruitment time.

The paper introduces ATLAS, a dataset of 304 T1-weighted MRIs with manual lesion segmentations to improve lesion segmentation algorithm accuracy.