Nick F. Ramsey

Electrophysiological Signature of Stroke Recovery: Investigating EEG Biomarkers for Prognostic Insights

This study identifies EEG biomarkers of motor recovery after stroke, finding that changes in relative alpha power and network dynamics explain most of the variance in recovery.

Normalization accounts for temporal dynamics in human somatosensory cortex

The paper shows that divisive normalization models better capture temporal dynamics in human somatosensory cortex compared to linear models, mirroring visual cortex findings.

Optimal positioning and size of high-density electrocorticography grids for speech brain-computer interfaces

This study shows that a small, optimally placed ECoG grid can achieve high word classification accuracy for speech BCIs, reducing surgical risks and device complexity.

Across-speaker articulatory reconstruction from sensorimotor cortex for generalizable brain-computer interfaces

This paper reconstructs articulatory features from brain signals using generalizable features from able-bodied individuals, achieving high correlation in three participants.

Precise Spatial Tuning of Visually Driven Alpha Oscillations in Human Visual Cortex

The paper measures alpha oscillations in human visual cortex using intracranial electrodes and finds they are spatially specific, with receptive field models showing larger spatial tuning compared to broadband power.

Direct Speech Reconstruction from Sensorimotor Brain Activity with Optimized Deep Learning Models

This paper optimizes deep learning models for speech reconstruction from sensorimotor brain activity, achieving high word decoding accuracy and intelligible speech.

Temporal dynamics of neural responses in human visual cortex

The paper models temporal dynamics of neural responses in human visual cortex using a computational model that captures contrast and adaptation effects across different visual areas.

Task-independent acute effects of delta-9-tetrahydrocannabinol on human brain function and its relationship with cannabinoid receptor gene expression: a neuroimaging meta-regression analysis

This paper uses neuroimaging meta-regression to examine THC's acute effects on brain activation and its relationship with CB1R gene expression.

Moving in on human motor cortex. Characterizing the relationship between body parts with non-rigid population Response Fields.

The paper characterizes body part relationships in motor cortices using a non-rigid population Response Field model and graph theory, revealing somatotopic structures and unique response profiles for specific body parts.

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

The paper introduces a multimodal dataset combining iEEG and fMRI data from naturalistic audiovisual stimulation to study neural mechanisms across recording modalities.

A touch of hierarchy. Population Receptive Fields reveal fingertip integration in Brodmann areas in human primary somatosensory cortex.

The paper uses population receptive field modeling to show a functional hierarchy in human primary somatosensory cortex, with increasing pRF sizes from BA3 to BA2.

Typical somatomotor physiology of the hand is preserved in a patient with an amputated arm

The paper investigates motor cortex electrophysiology in an amputee, finding preserved hand representations and high decoding accuracy for finger movements.

Putting the brain in a box: a toolbox for creating Cartesian Geometric Representations with Isometric Dimensions (Cgrids)

The paper introduces a toolbox for creating Cartesian geometric representations of the cortical surface, enabling spatial orientation and pattern recognition, with evaluation on 30 subjects.

Enhancing fMRI language lateralization indices by homotopic mapping

This paper improves fMRI language lateralization indices by incorporating homotopic mapping, aligning results more closely with clinical tests like WADA and fTCD.