Vadim V. Nikulin

This study investigates the relationship between cortical and corticospinal excitability thresholds along the motor cortex using TMS-EMG-EEG in 24 subjects, finding strong correlations and site-specific differences.

The paper shows that individual heartbeats reflect distinct prediction processes during human probabilistic learning, with specific cardiac responses linked to anticipation, orienting, and feedback-based updating.

This paper introduces a canonical correlation approach for multi-channel cardiac artefact removal in EEG data and shows it outperforms traditional methods in reducing artefacts while preserving neural signals.

The paper investigates how expectations about AI-generated images affect neural preparation, finding lower alpha power when expecting fake faces compared to real ones.

This paper reviews 132 HER studies using M/EEG, identifies methodological inconsistencies, and provides a checklist and dataset to improve standardization and reproducibility.

The paper examines how structural brain features relate to functional activity across individuals and brain regions, finding distinct mechanisms for intra- and inter-individual variability in alpha power.

This study quantifies non-uniform effects of remaining field spread on ROI activity and connectivity estimation in M/EEG using cross-talk functions.

This study shows that aperiodic broadband power, not just beta oscillations, is linked to Parkinson's disease severity and is increased in the more affected hemisphere.

This study investigates neuronal network activity in a rat model of RDP, showing that specific beta and gamma oscillations in brain regions are associated with dystonia and parkinsonism symptoms.

This study uses EEG and immersive VR to show that facial expressions can be decoded reliably in 3D space, with depth cues having a distinct neural signature but not affecting expression decoding.

The paper investigates how pre-stimulus beta power in different cortical areas predicts explicit and implicit perceptual biases in somatosensory detection tasks.

This study investigates how cardiac signals influence the perception of motor intention during Libet's task, finding that movement initiation aligns with the diastolic phase of the cardiac cycle.

This study shows motor imagery enhances learning of both imagined and linked overt movements, supported by neural evidence of event-related synchronization.

The paper investigates whether somatosensory perception excitability depends on feedforward neuronal spikes, finding no evidence for such a link using HFO metrics and Bayesian analysis.

This study uses MEG and hierarchical Bayesian modeling to show that euthymic bipolar disorder patients anticipate environmental volatility but fail to learn effectively, with altered neural activity in prefrontal regions.

This study validates surrogate procedures for controlling heartbeat-independent confounding in HEP analysis using simulations and real EEG data, showing that uncontrolled analyses can falsely link HEPs to task-related measures.

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 investigates brain-heart interactions during emotional arousal in immersive VR, finding reduced HEP amplitudes and altered information flow in temporo-occipital regions.

This study investigates BCI performance using longitudinal data and finds that signal-to-noise ratio, not mu rhythm connectivity, predicts performance across multiple analysis pipelines.

The paper analyzes neural responses to extrasystoles using EEG and ECG data, finding reduced HEP for ventricular extrasystoles and increased HEP in postextrasystolic beats.

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

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

This paper introduces ASB-PAC, a method to distinguish between-site and within-site phase-amplitude coupling in EEG data, showing it outperforms existing methods in detecting genuine interactions.

The paper investigates how visual memory array eccentricity affects EEG markers of visual short-term memory in a virtual reality setup, finding that CDA amplitude varies with memory load at certain eccentricities while alpha lateralization does not.

The paper links the P300 evoked response and alpha oscillations in EEG through a baseline-shift mechanism, showing they share temporal, spatial, and cognitive correlations.

This study evaluates methods for detecting inter-regional linear functional connectivity from EEG, finding that certain pipelines outperform others and recommends best practices.

The paper investigates whether motor adaptation in one arm can be facilitated by prior movement of the other arm in bimanual sequences, finding that active participation in the sequence supports adaptation.

The paper investigates age-related changes in EEG biomarkers and their association with cognitive performance in older adults.

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.