Reinstating motivational states: Electrical signatures of craving and neural mind reading Abstract The aim of this electroencephalogram (EEG) study was to identify electrical neuro-markers of 12 different motivational and physiological states such as visceral craves, affective and somatose... Brain-Computer Interface (BCI) EEG Neuroscience asa 02.01.2026 Publication
ERP Signatures of Stimulus Choice in Gaze-Independent BCI Communication Abstract Keywords: EEG; Brain-Computer Interface; Motor potential; Motor preparation; P300 speller; Locked-in syndrome; Pictionary; Transient Evoked Potential; ERPs This study investigated event-relat... Brain-Computer Interface (BCI) High-Density EEG asa 08.11.2025 Publication
ANT Neuro GmbH, Sebastian Carstens A Motor Imagery BCI Triggered Hand Exoskeleton for Precise Finger Movement in Rehabilitation Abstract Stroke-induced hand motor dysfunction severely limits activities of daily living (ADL), yet conventional rigid exoskeletons lack portability and fine motor control, while soft exoskeletons fa... Brain-Computer Interface (BCI) EEG waveguard 31.10.2025 Publication
Enhancing Neural Representations of Motor Imagery Through Action-Specific Brain Connectivity Patterns Abstract Motor imagery (MI) is a cognitive process that allows individuals to mentally simulate movements without physical executio n. However, the exploration of functional connectivity (FC) and late... Brain-Computer Interface (BCI) EEG Neurorehabilitation eego mylab 03.09.2025 Publication
ANT Neuro GmbH, Sebastian Carstens Detecting Reading-Induced Confusion Using EEG and Eye Tracking Abstract Humans regularly navigate an overwhelming amount of information via text media, whether reading articles, browsing social media, or interacting with chatbots. Confusion naturally arises when ... Brain-Computer Interface (BCI) EEG Multimodal 20.08.2025 Publication
ANT Neuro GmbH, Sebastian Carstens High-Resolution EEG Source Reconstruction from PCA-Corrected BEM-FMM Reciprocal Basis Funcions: A Study with Visual Evoked Potentials from Intermittent Photic Stimulation Abstract Modern automated human head segmentations can generate high-resolution computational meshes involving many non-nested tissues. However, most source reconstruction software is limited to 3–4 n... Brain-Computer Interface (BCI) EEG 16.07.2025 Publication
Motor cortical beta power reflects adaptation to task constraints Abstract The amplitude of beta oscillations over motor cortical regions (β power; 13-30 Hz) is used as a marker of motor function for various applications, including bradykinesia assessment in Parkins... Brain-Computer Interface (BCI) EEG Neuroscience eego sports 11.07.2025 Publication
ANT Neuro GmbH, Sebastian Carstens Changes in cortical beta power predict motor control flexibility, not vigor Abstract The amplitude of beta-band activity (β power; 13-30 Hz) over motor cortical regions is used to assess and decode movement in clinical settings and brain-computer interfaces, as β power is oft... Brain-Computer Interface (BCI) EEG Neurofeedback eego sports 11.07.2025 Publication
Towards subject-centered co-adaptive brain-computer interfaces based on backward optimal transport Abstract Objective Controlling a motor imagery brain–computer interface (MI-BCI) can be challenging, requiring several sessions of practice. Electroencephalography (EEG)-based BCIs are particularly af... Brain-Computer Interface (BCI) EEG eego rt 08.07.2025 Publication
Electrical spinal cord stimulation promotes focal sensorimotor activation that accelerates brain–computer interface skill learning Abstract Injuries affecting the central nervous system may disrupt neural pathways to muscles causing motor deficits. Yet the brain exhibits sensorimotor rhythms (SMRs) during movement intents, and br... Brain-Computer Interface (BCI) EEG 10.06.2025 Publication
ANT Neuro GmbH, Sebastian Carstens Comparison of Thai and English Speaking Signals from Brain Using Deep Learning and EEG Abstract This study investigates the decoding and comparison of brain signals associated with spoken Thai and English words using deep learning techniques and EEG equipment. In the field of Brain-Comp... Brain-Computer Interface (BCI) EEG Neuroscience eego mylab 30.04.2025 Publication
Brain-computer interface training fosters perceptual skills to detect errors Abstract Accurate perception of visuo-motor errors is essential for perceptual and sensorimotor learning so that corrective actions are performed timely to maintain stability and goal-directed behavio... Brain-Computer Interface (BCI) Cognitive Research EEG Preprint eego rt 30.04.2025 Publication