@misc{MacNeilageGlasauer, author = {MacNeilage, Paul R. and Glasauer, Stefan}, title = {Perceiving gravity: the role of the cerebellum}, series = {Current Biology}, volume = {28}, journal = {Current Biology}, number = {22}, issn = {1879-0445}, doi = {10.1016/j.cub.2018.09.053}, pages = {1296 -- 1298}, language = {en} } @misc{HausmannDaumerMacNeilageetal., author = {Hausmann, Peter and Daumer, Martin and MacNeilage, Paul R. and Glasauer, Stefan}, title = {Ecological momentary assessment of head motion: Towards normative data of head stabilization}, series = {Frontiers in Human Neuroscience}, volume = {13}, journal = {Frontiers in Human Neuroscience}, issn = {1662-5161}, doi = {10.3389/fnhum.2019.00179}, pages = {13}, abstract = {Head stabilization is fundamental for balance during locomotion but can be impaired in elderly or diseased populations. Previous studies have identified several parameters of head stability with possible diagnostic value in a laboratory setting. Recently, the ecological validity of measures obtained in such controlled contexts has been called into question. The aim of this study was to investigate the ecological validity of previously described parameters of head stabilization in a real-world setting. Ten healthy subjects participated in the study. Head and trunk movements of each subject were recorded with inertial measurement units (IMUs) for a period of at least 10 h. Periods of locomotion were extracted from the measurements and predominant frequencies, root mean squares (RMSs) and bout lengths were estimated. As parameters of head stabilization, attenuation coefficients (ACs), harmonic ratios (HRs), coherences, and phase differences were computed. Predominant frequencies were distributed tightly around 2 Hz and ACs, HRs, and coherences exhibited the highest values in this frequency range. All head stability parameters exhibited characteristics consistent with previous reports, although higher variances were observed. These results suggest that head stabilization is tuned to the 2 Hz fundamental frequency of locomotion and that previously described measures of head stability could generalize to a real-world setting. This is the first study to address the ecological validity of these measures, highlighting the potential use of head stability parameters as diagnostic tools or outcome measures for clinical trials. The low cost and ease of use of the IMU technology used in this study could additionally be of benefit for a clinical application.}, language = {en} } @misc{DietrichHeidgerSchnieppetal., author = {Dietrich, Haike and Heidger, F. and Schniepp, Roman and MacNeilage, Paul R. and Glasauer, Stefan and W{\"u}hr, Max}, title = {Head motion predictability explains activity-dependent suppression of vestibular balance control}, series = {Scientific Reports}, volume = {10}, journal = {Scientific Reports}, issn = {2045-2322}, doi = {10.1038/s41598-019-57400-z}, abstract = {Vestibular balance control is dynamically weighted during locomotion. this might result from a selective suppression of vestibular inputs in favor of a feed-forward balance regulation based on locomotor efference copies. The feasibility of such a feed-forward mechanism should however critically depend on the predictability of head movements (HMP) during locomotion. To test this, we studied in 10 healthy subjects the differential impact of a stochastic vestibular stimulation (SVS) on body sway (center-of-pressure, COP) during standing and walking at different speeds and compared it to activity-dependent changes in HMp. SVS-cop coupling was determined by correlation analysis in frequency and time domains. HMP was quantified as the proportion of head motion variance that can be explained by the average head trajectory across the locomotor cycle. SVS-COP coupling decreased from standing to walking and further dropped with faster locomotion. Correspondingly, HMP increased with faster locomotion. Furthermore, SVS-COP coupling depended on the gait-cycle-phase with peaks corresponding to periods of least HMP. These findings support the assumption that during stereotyped human self-motion, locomotor efference copies selectively replace vestibular cues, similar to what was previously observed in animal models.}, language = {en} } @misc{GlasauerHausmannMacNeilage, author = {Glasauer, Stefan and Hausmann, Peter and MacNeilage, Paul R.}, title = {Statistics of natural head motion suggest different head motion priors for rest and movement}, series = {Bernstein Conference 2018}, journal = {Bernstein Conference 2018}, doi = {10.12751/nncn.bc2018.0132}, language = {en} } @incollection{GlasauerMacNeilage, author = {Glasauer, Stefan and MacNeilage, Paul R.}, title = {Computational Rules for Integrating Vestibular and Multi-Modal Motion Signals in the Central Nervous System}, series = {The Senses: A Comprehensive Reference; Volume 6: Vestibular System and Balance}, booktitle = {The Senses: A Comprehensive Reference; Volume 6: Vestibular System and Balance}, editor = {Fritzsch, Bernd and Straka, Hans}, edition = {2. Edition}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/B978-0-12-809324-5.24262-4}, pages = {445 -- 457}, abstract = {Integration of multi-sensory signals is normally required to infer the properties and states of the external world and of the own body. This applies also to vestibular signals, which, when activated are naturally accompanied by other sensory or self-generated signals. Here, we review computational schemes and normative principles that have been proposed to achieve meaningful signal fusion that allows perception and action in the face of uncertain information.}, language = {en} } @misc{DietrichHeidgerSchnieppetal., author = {Dietrich, Haike and Heidger, F. and Schniepp, Roman and MacNeilage, Paul R. and Glasauer, Stefan and W{\"u}hr, Max}, title = {Head motion predictability explains phase-and speed-dependent suppression of vestibular balance control during walking}, series = {Elsevier}, volume = {131}, journal = {Elsevier}, number = {4}, edition = {1.}, publisher = {Elsevier}, doi = {10.1016/j.clinph.2019.12.083}, pages = {e219 -- e220}, abstract = {Methods: Body sway was analyzed by measuring the center of pressure (CoP) in 10 healthy participants on a pressure-sensitive treadmill during standing and walking at 0.4 or 0.8 m/s. Continuous SVS (0-25 Hz; peak amplitude at±4.5 mA) was delivered by a bipolar binaural electrode configuration over the mastoid processes to evoke postural responses in the roll plane. Time-dependent coherence between SVS and medio-lateral body sway was analyzed to examine the dynamic impact of vestibular cues during locomotion. HMP was estimated using a previously established model (MacNeilage and Glasauer, 2017). Results: SVS-CoP coherence decreased from standing to slow walking and further decreased with increasing locomotor speed (p< 0.001). Correspondingly, HMP increased with faster locomotion (p= 0.001). SVS-CoP coherence depended on the gait cycle phase with two distinct peaks occurring at 25 …}, language = {en} }