Natalie Mrachacz-Kersting

Professor

Albert-Ludwigs-Universität Freiburg

Germany

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Professor Natalie Mrachacz-Kersting is a faculty member at Albert-Ludwigs-Universität Freiburg, Germany. Her research areas focus on brain-computer interfaces, including topics such as interlimb reflexes, corticospinal excitability training, and the use of generative adversarial networks in data augmentation for BCI applications. She has contributed significantly to the understanding and development of assistive technologies for individuals with neurological conditions.

Articles (15)

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2025

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2025

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2025

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2025

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2024

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (8)

Andrew Stevenson

Aalborg University

DENMARK

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Susan Aliakbary Hosseinabadi

Advanced Packaging professional/ Data Integrity Steward

Novo Nordisk A/S

DENMARK

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John-Ross Rizzo

Assistant Professor (Clinical) of Rehabilitation Medicine and Neurology (Academic)

NYU School of Medicine

UNITED STATES

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Eugen Romulus Lontis

Aalborg University

DENMARK

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Jennifer Collinger

Professor

University of Pittsburgh

UNITED STATES

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Boris Modrau

Aalborg University

DENMARK

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Andrea Kübler

Associate professor

University of Würzburg

GERMANY

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Kai Keng Ang

SINGAPORE

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Natalie Mrachacz-Kersting

Research Interests

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About

Articles (15)

Associative brain-computer interface training increases wrist extensor corticospinal excitability in patients with subacute stroke

Designing an online BCI forum: insights from researchers and end-users

Special issue on brain–computer interfaces: highlighting research from the 10th International Brain–Computer Interface Meeting

Interlimb reflexes of the lower limb elicited by femoral nerve stimulation in able-bodied persons

Low-Frequency Motor Cortex EEG Predicts Four Rates of Force Development

Performance Variation of a Somatosensory BCI Based on Imagined Sensation: A Large Population Study

Reducing the Calibration Time in Somatosensory BCI by Using Tactile ERD

Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis

Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

Online control of an assistive active glove by slow cortical signals in patients with amyotrophic lateral sclerosis

Brain‐computer interfaces and plasticity of the human nervous system

Neuropsychological and neurophysiological aspects of brain‐computer‐interface (BCI) control in paralysis

Towards a mechanistic approach for the development of non‐invasive brain‐computer interfaces for motor rehabilitation

Real-time neurofeedback is effective in reducing diversion of attention from a motor task in healthy individuals and patients with amyotrophic lateral sclerosis

Dynamics of movement‐related cortical potentials and sensorimotor oscillations during palmar grasp movements

Collaborators (8)

Andrew Stevenson

Susan Aliakbary Hosseinabadi

John-Ross Rizzo

Eugen Romulus Lontis

Jennifer Collinger

Boris Modrau

Andrea Kübler

Kai Keng Ang

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