@article{HaufeIsaiasPellegrinietal.2023, author = {Haufe, Stefan and Isaias, Ioannis U. and Pellegrini, Franziska and Palmisano, Chiara}, title = {Gait event prediction using surface electromyography in parkinsonian patients}, series = {Bioengineering}, volume = {10}, journal = {Bioengineering}, number = {2}, issn = {2306-5354}, doi = {10.3390/bioengineering10020212}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-304380}, year = {2023}, abstract = {Gait disturbances are common manifestations of Parkinson's disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) are capable of monitoring gait, but they lack neurophysiological information that may be crucial for studying gait disturbances in these patients. Here, we present a machine learning approach to approximate IMU angular velocity profiles and subsequently gait events using electromyographic (EMG) channels during overground walking in patients with PD. We recorded six parkinsonian patients while they walked for at least three minutes. Patient-agnostic regression models were trained on temporally embedded EMG time series of different combinations of up to five leg muscles bilaterally (i.e., tibialis anterior, soleus, gastrocnemius medialis, gastrocnemius lateralis, and vastus lateralis). Gait events could be detected with high temporal precision (median displacement of <50 ms), low numbers of missed events (<2\%), and next to no false-positive event detections (<0.1\%). Swing and stance phases could thus be determined with high fidelity (median F1-score of ~0.9). Interestingly, the best performance was obtained using as few as two EMG probes placed on the left and right vastus lateralis. Our results demonstrate the practical utility of the proposed EMG-based system for gait event prediction, which allows the simultaneous acquisition of an electromyographic signal to be performed. This gait analysis approach has the potential to make additional measurement devices such as IMUs and force plates less essential, thereby reducing financial and preparation overheads and discomfort factors in gait studies.}, language = {en} } @article{PozziPalmisanoReichetal.2022, author = {Pozzi, Nicol{\´o} G. and Palmisano, Chiara and Reich, Martin M. and Capetian, Philip and Pacchetti, Claudio and Volkmann, Jens and Isaias, Ioannis U.}, title = {Troubleshooting gait disturbances in Parkinson's disease with deep brain stimulation}, series = {Frontiers in Human Neuroscience}, volume = {16}, journal = {Frontiers in Human Neuroscience}, issn = {1662-5161}, doi = {10.3389/fnhum.2022.806513}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-274007}, year = {2022}, abstract = {Deep brain stimulation (DBS) of the subthalamic nucleus or the globus pallidus is an established treatment for Parkinson's disease (PD) that yields a marked and lasting improvement of motor symptoms. Yet, DBS benefit on gait disturbances in PD is still debated and can be a source of dissatisfaction and poor quality of life. Gait disturbances in PD encompass a variety of clinical manifestations and rely on different pathophysiological bases. While gait disturbances arising years after DBS surgery can be related to disease progression, early impairment of gait may be secondary to treatable causes and benefits from DBS reprogramming. In this review, we tackle the issue of gait disturbances in PD patients with DBS by discussing their neurophysiological basis, providing a detailed clinical characterization, and proposing a pragmatic programming approach to support their management.}, language = {en} } @article{PalmisanoBeccariaHaufeetal.2022, author = {Palmisano, Chiara and Beccaria, Laura and Haufe, Stefan and Volkmann, Jens and Pezzoli, Gianni and Isaias, Ioannis U.}, title = {Gait initiation impairment in patients with Parkinson's disease and freezing of gait}, series = {Bioengineering}, volume = {9}, journal = {Bioengineering}, number = {11}, issn = {2306-5354}, doi = {10.3390/bioengineering9110639}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-297579}, year = {2022}, abstract = {Freezing of gait (FOG) is a sudden episodic inability to produce effective stepping despite the intention to walk. It typically occurs during gait initiation (GI) or modulation and may lead to falls. We studied the anticipatory postural adjustments (imbalance, unloading, and stepping phase) at GI in 23 patients with Parkinson's disease (PD) and FOG (PDF), 20 patients with PD and no previous history of FOG (PDNF), and 23 healthy controls (HCs). Patients performed the task when off dopaminergic medications. The center of pressure (CoP) displacement and velocity during imbalance showed significant impairment in both PDNF and PDF, more prominent in the latter patients. Several measurements were specifically impaired in PDF patients, especially the CoP displacement along the anteroposterior axis during unloading. The pattern of segmental center of mass (SCoM) movements did not show differences between groups. The standing postural profile preceding GI did not correlate with outcome measurements. We have shown impaired motor programming at GI in Parkinsonian patients. The more prominent deterioration of unloading in PDF patients might suggest impaired processing and integration of somatosensory information subserving GI. The unaltered temporal movement sequencing of SCoM might indicate some compensatory cerebellar mechanisms triggering time-locked models of body mechanics in PD.}, language = {en} } @article{PalmisanoBrandtVissanietal.2020, author = {Palmisano, Chiara and Brandt, Gregor and Vissani, Matteo and Pozzi, Nicol{\´o} G. and Canessa, Andrea and Brumberg, Joachim and Marotta, Giorgio and Volkmann, Jens and Mazzoni, Alberto and Pezzoli, Gianni and Frigo, Carlo A. and Isaias, Ioannis U.}, title = {Gait Initiation in Parkinson's Disease: Impact of Dopamine Depletion and Initial Stance Condition}, series = {Frontiers in Bioengineering and Biotechnology}, volume = {8}, journal = {Frontiers in Bioengineering and Biotechnology}, issn = {2296-4185}, doi = {10.3389/fbioe.2020.00137}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200801}, year = {2020}, abstract = {Postural instability, in particular at gait initiation (GI), and resulting falls are a major determinant of poor quality of life in subjects with Parkinson's disease (PD). Still, the contribution of the basal ganglia and dopamine on the feedforward postural control associated with this motor task is poorly known. In addition, the influence of anthropometric measures (AM) and initial stance condition on GI has never been consistently assessed. The biomechanical resultants of anticipatory postural adjustments contributing to GI [imbalance (IMB), unloading (UNL), and stepping phase) were studied in 26 unmedicated subjects with idiopathic PD and in 27 healthy subjects. A subset of 13 patients was analyzed under standardized medication conditions and the striatal dopaminergic innervation was studied in 22 patients using FP-CIT and SPECT. People with PD showed a significant reduction in center of pressure (CoP) displacement and velocity during the IMB phase, reduced first step length and velocity, and decreased velocity and acceleration of the center of mass (CoM) at toe off of the stance foot. All these measurements correlated with the dopaminergic innervation of the putamen and substantially improved with levodopa. These results were not influenced by anthropometric parameters or by the initial stance condition. In contrast, most of the measurements of the UNL phase were influenced by the foot placement and did not correlate with putaminal dopaminergic innervation. Our results suggest a significant role of dopamine and the putamen particularly in the elaboration of the IMB phase of anticipatory postural adjustments and in the execution of the first step. The basal ganglia circuitry may contribute to defining the optimal referent body configuration for a proper initiation of gait and possibly gait adaptation to the environment.}, language = {en} }