H. Branch Coslett

Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning

This paper develops a machine learning model to predict post-stroke aphasia speech performance using multimodal data, achieving high accuracy with explainable features.

Reorganization of motor functions within visuomotor networks subsequent to somatosensory cortical damage

This study investigates how damage to primary somatosensory cortex affects motor networks in humans, showing altered activation in subcortical areas and potential reorganization of motor function.

Disruption of anterior temporal lobe reduces distortions in memory from category knowledge

This study shows that disrupting the anterior temporal lobe reduces memory distortion caused by category knowledge, but not error in recalling specific details.

Glutamate-Weighted Magnetic Resonance Imaging (GluCEST) Detects Effects of Transcranial Magnetic Stimulation to the Motor Cortex

The paper uses GluCEST MRI to detect glutamate concentration changes in the motor cortex after cTBS, finding decreased ipsilateral signal but no consistent contralateral or sham effects.

Apparent increase in lip size is linked to tactile discrimination improvement

The paper shows that applying an anesthetic cream increases perceived lip size, which improves tactile discrimination, while moisturizing cream does not have this effect.

Causal role of beta oscillations in time estimation

This paper demonstrates a causal link between beta oscillations and time perception through EEG reanalysis and tACS experiments, showing beta stimulation increases perceived duration without affecting precision.

Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations

This study compares multivariate sparse canonical correlation analysis (SCCAN) with mass-univariate voxel-wise lesion-symptom mapping (VLSM) and finds SCCAN provides more accurate results across various scenarios.