Surjo Raphael Soekadar

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

This study develops real-time phase-tuned tACS to enhance working memory by adjusting phase lag relative to alpha oscillations, showing improved performance at specific phase lags.

This study uses transcranial stimulation to show that frontal delta oscillations causally affect heartbeat perception, with enhanced synchrony reducing detection accuracy.

This study shows that fNIRS-based neurofeedback can modulate rTPJ activity and affect attention reorienting, with learning differences between up- and downregulation groups.

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 uses SASS to directly show that phase-dependent enhancement and suppression of brain oscillations occur during AM-tACS, with behavioral effects predicted by oscillation modulation.

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 shows that heart rate variability predicts decline in BCI control performance during voluntary sensorimotor rhythm control in healthy participants.

This study investigates the role of mGluR5 in memory processing during sleep and finds that blocking mGluR5 does not affect memory consolidation despite altering sleep oscillations.

This paper introduces SASS, an algorithm to remove stimulation artifacts during AM-tACS, enabling reliable assessment of brain oscillations and enabling adaptive stimulation.

This paper introduces a strategy for brain/neural robot control using fewer scalp electrodes, showing comparable classification accuracy to conventional methods even when participants chew.

The paper records Bereitschaftspotential (BP) before extreme bungee jumping, showing it is similar to lab conditions.

This paper demonstrates a method to volitionally up- and downregulate cortical excitability using neurofeedback, showing changes in brain state and oscillations.

The paper investigates how overnight memory consolidation affects new learning of similar materials, finding that consolidation facilitates rather than interferes with learning, and that D-cycloserine enhances new learning independently of sleep.

This paper conducts a meta-analysis of BCI-based post-stroke motor rehabilitation, finding a medium to large effect size on motor improvement.

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