Neurophysiology Research Group

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lab director

Prof. Peter Federolf

Email: peter.federolf@uibk.ac.at 

Phone number: (+43) 0512 507 45862

Team Members - Team Alumni - Internships - Team publications - Current research projects - Research methodologies

Mission statement

Research into movement variability and into the coordinative structure of movement patterns has gained momentum in recent years as the significance of these aspects of human movement for important functional characteristics, such as motor learning, balance and stability, situation adaptability, or coping with pathologies become more and more apparent.

Our research group investigates sensorimotor integration. We analyse movement variability; the coordinative structure of movement patterns (PCA; “principal movements”); how muscles are activated and how muscle activation is coordinated between muscles (EMG, muscle synergies); and we monitor brain activity (EEG) to link phenomena in the EEG with aspects of movement control.

One focus of our group is postural control research. The ability to accurately control ones movements and posture is relevant in all stages of life. It’s one of the first things an infant learns and it determines to a large extend health, independence, and quality of life in old age. In sports, balance is highly relevant for performance and for injury prevention. It seems obvious that postural control is related to the coordination of the movements of different segments, however, how exactly does this coordinative structure manifest itself? Is better balance associated with faster, stronger, or better coordinated reaction to perturbations? What exactly changes in the movement characteristics during balance training? Do movement patterns differ between stable and unstable or between young and old subjects? How does fatigue affect balance and coordination? -   Our group develops and applies methods examining covariation in segment kinematics to approach questions about balance and coordination from a new angle.

A second research focus is technique analysis in sports. The technique of an athlete is the specific coordinative whole-body movement pattern that the athletes exhibit in standard situations of their sport. On the one hand, the technique of an athlete depends on highly specific factors such as the specific body shape, motor learning history, and abilities of the individual athlete; on the other hand, there are common features in the techniques of athletes that allow an experienced coach to characterize, evaluate, and even suggest improvements to the specific techniques of athletes. Scientifically it is challenging how the techniques of different athletes can objectively be compared and how suggestions for improvements can be derived. We quantify the underlying coordinative structure of movements to quantify and compare the techniques between groups of athletes.

Team Members

professor

federolf-peter1

Dr. Peter Federolf

Research interests:

  • Motion analysis
  • Neuromuscular control
  • System dynamics
  • Stability, postural control, injury prevention
  • Technique analysis in sport

 

Contact: Peter.Federolf@uibk.ac.at

assistant professors

werner-inge

Dr. Inge Werner

Research interests:

  • Adaptation of postural control to changing sensorimotor feedback
  • Movement variability and control of variability
  • Impacts of movement instructions (internal – external focus)

 Contact: Inge.Werner@uibk.ac.at 

postdoctoral fellows

vanandel-steven

Steven van Andel, PhD

Research interests:

  • Perceptual guidance of locomotion
  • Motor learning and skill acquisition
  • Theoretical approaches to motor control

 

Contact: Steven.van-Andel@uibk.ac.at   

mohr-maurice

Maurice Mohr, PhD:

Research interests:

  • How muscle activation patterns control whole-body movement
  • Adaptations in postural control during balance training
  • Knee injury biomechanics

Contact: maurice.mohr@uibk.ac.at 

phd students

 

Roman Rethwilm, MSc

Research interests:

  • Clinical gait analysis

 

santner-antonia

Antonia Santner, MMag

Research interests:

  • Perceptual guidance of locomotion
  • Motor learning and skill acquisition
  • Theoretical approaches to motor control

 

Contact: antonia.santner@student.uibk.ac.at

masters students

calisti-maite

Maité Calisti, BSc

Thesis title: How is knee joint stability of the contralateral leg affected in subjects with a previous anterior cruciate ligament injury?

Email: maite.calisti@student.uibk.ac.at

reimeir-benji

Benjamin Reimeir, BSc

Thesis title: The role of boundary conditions in postural control mechanisms and the influence of age

Email: benjamin.reimeir@student.uibk.ac.at

peer-lukas

Lukas Peer, Bsc

Thesis title: Influence of the running surface on the quantification of running style (German: Einfluss des Untergrundes auf die Charakterisierung des Laufstils)

Email: Lukas.Peer@student.uibk.ac.at

sterner-florian

Florian Sterner, Bsc

Thesis title: Training recommendations for youth soccer players: Which movement patterns increase the incidence of overuse injury? (German: Trainingsempfehlungen für jugendliche Fußballer: Welche Bewegungsmuster erhöhen die Häufigkeit von Überlastungsverletzungen?)

Email: Florian.Sterner@student.uibk.ac.at

fridrich-dominik

Dominik Fridrich, Bsc

Thesis title: Influence of foam rolling or CRPNF-Stretching on the squat movement pattern (German: Zum Einfluss von Foam Rolling oder CRPNF-Stretching auf das Bewegungsmuster Kniebeuge)

Email: Dominik.fridrich@student.uibk.ac.at

Team Alumni

postdoctoral fellows

Aude-Clémence Doix (PhD), post-doctoral fellow, 2015-2019

phd students

Felix Wachholz (PhD), doctoral student, 2017-2020

Alessia Longo (PhD), guest doctoral student, 2016-2018; home university: Radboud University, Nijmegen

Arunee Promsri (PhD), doctoral student, 2016-2020

Thomas Haid (PhD), doctoral student, 2015-2019

master students

Daniel Jochum, master student, 2018-2020

Daniel Debertin (MSc), exchange master student, 2019-2020

Tove Kockum, master student, 2019-2020

Federico Tiribello, master student, 2019

Johannes Grünbichler, master student, 2019

Maximilian Huber, master student, 2018-2019

Maximilian Seidl, master student, 2018-2019

Maria Weise, master student, 2018-2019

Mario Gattinger, master student, 2018-2019

Toni Leidl, master student, 2018-2019

Valentin Klotzner, exchange master student, 2018; home university: Karlsruhe Institut of Technology (KIT), Karlsruhe, Germany

Julia Hagenauer, master student, 2016-2017

Felix Wachholz, master student, 2016-2017

Sebastian Färber, master student, 2016-2017

Nicolai Szelenczy, master student, 2016-2017

Roman Rethwilm, master student, 2016

Martin Winding, master student, 2015-2016

Julian Kiefer, master student, 2015-2016

Tobias Jäger, master student, 2015-2016

Internships:

If you are interested in working with our group as an intern, please contact Prof. Federolf via email.

Team publications:

Wachholz F., Tiribello F., Promsri A., Federolf P. (2020) Should the Minimal Intervention Principle Be Considered When Investigating Dual-Tasking Effects on Postural Control? Brain Sciences, 10(1), 1. https://doi.org/10.3390/brainsci10010001

Promsri A., Haid T., Federolf P., (2018) How does lower limb dominance influence postural control movements during single leg stance? Human Movement Science, 58C, 165-174. https://doi.org/10.1016/j.humov.2018.02.003

Longo A., Meulenbroek R., Haid T, Federolf P. (2018) Postural reconfiguration and cycle-to-cycle variability in patients with work-related musculoskeletal disorders compared to healthy controls and in relation to pain emerging during a repetitive movement task. Clinical Biomechanics 54:103-110. https://doi.org/10.1016/j.clinbiomech.2018.03.004

Haid T., Doix A.-C., Nigg B., Federolf P. (2018) Age effects in postural control analyzed via a principal component analysis of kinematic data and interpreted in relation to predictions of the optimal feedback control theory. Frontiers in Aging Neuroscience 10. http://doi.org/10.3389/fnagi.2018.00022

Gløersen Ø., Federolf P. (2016). Predicting missing marker trajectories in human motion data using marker intercorrelations. Plos One, 11 (3): e0152616. http://dx.doi.org/10.1371/journal.pone.0152616

Federolf P. (2016). A novel approach to study human posture control: "principal movements" obtained from a principal component analysis of kinematic marker data. Journal of Biomechanics, 49(3), 364-370. http://dx.doi.org/10.1016/j.jbiomech.2015.12.030     

Current research projects:

For an overview of current research projects, please visit our ResearchGate group page:
research_gate


Research methodologies

3D motion analysis

-[3D Motion Analysis Gallery]-

The goal of our neuromuscular system is to either produce or restrict movement. Think of kicking a soccer ball (produce movement) or trying to stand as still as possible on one leg (restrict movement). Either way, we can use 3D motion analysis to record and reconstruct the three-dimensional movements of all body segments during a certain task and find out how successfully the neuromuscular system controlled this movement task. An example could be to measure the body sway during a standing balance task or two record the ankle, knee, and hip joint angles while walking on a treadmill. Our research team uses two different technologies to carry out 3D motion analyses: Vicon and XSens. Our Vicon system consists of nine infrared cameras that film the movement of small markers attached to the body segments of the research participant. Vicon is highly accurate but requires time-consuming preparations and post-processing of data. Our XSens system uses inertial sensors (including accelerometers, gyroscopes, and magnetometers) distributed across body segments to reconstruct the body's movement and allows movement analyses outside of the lab. Therefore it is highly applicable to measurement of sportive movements in a natural environment. Off course, there is always a trade-off between ease of use and measurement accuracy. The pictures above were taken during a validation study to compare the 3D movement reconstructed from Vicon and XSens measurements.

Kinematic Principal Component Analysis (PCA)

One of our more focused research areas is the application of principal component analysis to 3D movement data in order to structure the movement into individual movement components that can be further analyzed. To find out more about the PCA and how to use it, check out the free software developed in our group:  The PMAnalyzer

Also, check out video tutorials and explanations related to the application of PCA on movement data:icons8-play-button-48

 


Muscle activity measurements (Electromyography, EMG)

To be added

Brain activity measurements (Electroencephalography, EEG)

To be added

Postural control / center of pressure measurements (force platform)

To be added


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