Falk Eippert

This study decodes peripheral stimulation from spinal and cortical recordings, showing that spinal signals provide complementary information to cortical EEG for mixed stimulation tasks.

This study investigates adverse and unspecific effects of tsDCS in healthy volunteers using subjective reports and physiological measurements, finding minimal differences between active and sham conditions.

This study investigates whether expectation affects repetition suppression in nociception using EEG and physiological data, finding no significant differences between expected and unexpected stimulus repetitions.

This study uses ultra-high-field fMRI to reveal layer-specific responses in the human spinal cord during heat-pain stimulation, identifying phasic and tonic response components in dorsal horn layers.

This study benchmarks four cervical spinal cord RF coils at 7 T MRI across multiple centers, identifying performance differences and proposing a standardized evaluation protocol.

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

This study shows body size parameters significantly correlate with brain and spinal cord MRI metrics and should be included in neuroimaging studies.

The paper develops a method to noninvasively record high frequency oscillations (HFOs) across the entire human CNS in response to somatosensory stimulation, showing low and high frequency responses represent independent processing channels.

This paper develops a multi-channel electrophysiology method to non-invasively record human spinal cord activity with high temporal resolution and demonstrates its application in studying somatosensation and nociception.

This study evaluates noise correction methods for electrospinography (ESG) to reduce cardiac artefacts and improve signal quality in human spinal cord recordings.

This study evaluates the reliability of task-based fMRI in the human spinal cord, finding poor reliability of BOLD responses across days but good reliability of autonomic responses.

This study assesses the reliability of resting-state functional connectivity in the human spinal cord, finding reliable connectivity between dorsal and ventral horns but poor reliability in segmental and within-hemicord connections.

The paper investigates how local excitability changes in the somatosensory cortex affect neural responses to hand and foot stimuli, finding somatotopic organization in alpha and beta band effects.

This study investigates how sensory information and expectations influence pain processing in the brain using EEG, finding that sensory information shapes evoked responses while expectations affect oscillatory activity before stimuli.

This study uses a drift-diffusion model and probabilistic cueing to show that the DLPFC contributes to decision bias in pain perception, with interactions involving the PAG.

This paper develops automated methods for slice-specific z-shimming in spinal cord fMRI to improve signal quality and reproducibility.

This study investigates resting-state functional connectivity in the cervical spinal cord at 3T, finding robust dorsal and ventral horn connectivity, replicating findings from higher field strength studies.