headshot photo of Dr. Niklas Ignasiak

Dr. Niklas Ignasiak

Assistant Professor
Crean College of Health and Behavioral Sciences; Physical Therapy
Office Location: Rinker Health Science Campus 9401-233
Phone: (714) 516-5503


Niklas Ignasiak (formerly König) received his Ph.D. from the renowned ETH Zurich in Switzerland and has by now contributed with 11 peer-reviewed publications and over 20 conference presentations. His doctoral research has established the application of movement variability during walking and standing as a measure for the quality of movement performance. Driven to better understand neuropathology-specific variability patterns, he consequently explored neurophysiological mechanisms governing the control of optimal motor variability. With a vision to bridge technical solutions with the experience in clinical observations, his current focus is to develop a comprehensive gait assessment tool and to establish a multidimensional map of pathological gait behavior. Before his research activity Niklas received training in Physiotherapy and Clinical Exercise Science in Berlin, Germany, and worked with stroke and Parkinson’s disease patients.

PT 539 Physical Agents
PT 651 Scientific Inquiry II
PT 643 Motor control and Motor learning

Alice Salomon University of Applied Science Berlin, Germany: Bachelor of Science
University of Potsdam, Germany: Master of Science
ETH Zurich, Switzerland: Ph.D.

Recent publications:

König Ignasiak, L. Habermacher, W.R. Taylor, N.B. Singh
Cortical contribution to linear, non-linear and frequency components of motor variability control during standing.
Frontiers in Human Neuroscience. 2017, 11: 548.

König, M.G. Ferraro, H. Baur, W.R. Taylor, N.B. SinghWhat is the contribution of Ia-afference for regulating motor output variability during standing?
Frontiers in Human Neuroscience. 2017, 11: 87.

König, N.B. Singh, C.R. Baumann, W.R. Taylor
Can gait signatures provide quantitative measures for aiding clinical decision making? A systematic meta-analysis of gait variability behaviour in patients with Parkinson’s disease.
Frontiers in Human Neuroscience. 2016, 10:319.

König, W.R. Taylor, C.R. Baumann, N. Wenderoth, N.B. Singh
Revealing the quality of movement: A meta-analysis review to quantify thethresholds to pathological variability during standing and walking.  
Neuroscience and Biobehavioral Reviews. 2016, 14 (68).

König, N.B. Singh, G. Armbrecht, R. Dietzel, W.R. Taylor
Identification of functional parameters for the classification of older female fallers and prediction of “first-time” fallers.
Royal Society Interface. 2014, 11 (97).

König, N.B. Singh, J. von Beckerath, L. Janke, W.R. Taylor
Is gait variability reliable? An assessment of spatio-temporal parameters of gait variability during continuous overground walking.
Gait & Posture. 2014, 39 (1).

Recent Creative, Scholarly Work and Publications

Konig Ignasiak, N., Ravi, D. K., Orter, S., Hosseini Nasab, S. H., Taylor, W. R., & Singh, N. B. (2019). Does variability of footfall kinematics correlate with dynamic stability of the centre of mass during walking? PLoS One, 14(5), e0217460. doi:10.1371/journal.pone.0217460
Orter, S., Ravi, D. K., Singh, N. B., Vogl, F., Taylor, W. R., & Konig Ignasiak, N. (2019). A method to concatenate multiple short time series for evaluating dynamic behaviour during walking. PLoS One, 14(6), e0218594. doi:10.1371/journal.pone.0218594
Konig, N., Ferraro, M. G., Baur, H., Taylor, W. R., & Singh, N. B. (2017). What Is the Contribution of Ia-Afference for Regulating Motor Output Variability during Standing? Front Hum Neurosci, 11, 87. doi:10.3389/fnhum.2017.00087
Konig Ignasiak, N., Habermacher, L., Taylor, W. R., & Singh, N. B. (2017). Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing. Front Hum Neurosci, 11, 548. doi:10.3389/fnhum.2017.00548
Konig, N., Taylor, W. R., Baumann, C. R., Wenderoth, N., & Singh, N. B. (2016). Revealing the quality of movement: A meta-analysis review to quantify the thresholds to pathological variability during standing and walking. Neurosci Biobehav Rev, 68, 111-119. doi:10.1016/j.neubiorev.2016.03.035
Konig, N., Singh, N. B., Baumann, C. R., & Taylor, W. R. (2016). Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson's Disease. Front Hum Neurosci, 10, 319. doi:10.3389/fnhum.2016.00319