Sensory feedback interferes with mu rhythm based detection of motor commands from electroencephalographic signals

• Verfasst von: Hommelsen, Maximilian [VerfasserIn]
• Verfasst von: Schneiders, Matthias [VerfasserIn]
• Verfasst von: Schuld, Christian [VerfasserIn]
• Verfasst von: Rupp, Rüdiger [VerfasserIn]
• Titel: Sensory feedback interferes with mu rhythm based detection of motor commands from electroencephalographic signals
• Verf.angabe: Maximilian Hommelsen, Matthias Schneiders, Christian Schuld, Philipp Keyl and Rüdiger Rupp
• Fussnoten: Gesehen am 12.04.2018
• Titel Quelle: Enthalten in: Frontiers in human neuroscience
• Jahr Quelle: 2017
• Band/Heft Quelle: 11(2017) Artikel-Nummer 523, 17 Seiten
• ISSN Quelle: 1662-5161
• DOI: doi:10.3389/fnhum.2017.00523
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1571952012
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Background: Electroencephalogram (EEG)-based brain-computer interfaces (BCI) represent a promising component of restorative motor therapies in individuals with partial paralysis. However, in those patients, sensory functions such as proprioception are at least partly preserved. The aim of this study was to investigate whether afferent feedback interferes with the BCI-based detection of efferent motor commands during execution of movements. Methods: Brain activity of 13 able-bodied subjects (age: 29.1±4.8 y; 11 males) was compared between a motor task (MT) consisting of an isometric, isotonic grip and a somatosensory electrical stimulation (SS) of the fingertips. Modulation of the mu rhythm (8-13 Hz) was investigated to identify changes specifically related to the generation of efferent commands. A linear discriminant analysis (LDA) was used to investigate the activation pattern on a single-trial basis. Classifiers were trained with MT vs. REST (periods without MT/SS) and tested with SS and vice versa to quantify the impact of afferent feedback on the classification results. Results: Few differences in the spatial pattern between MT and SS were found in the modulation of the mu rhythm. All were characterized by event-related desynchronization (ERD) peaks at electrodes C3, C4, and CP3. Execution of the MT was associated with a significantly stronger ERD in the majority of sensorimotor electrodes (C3 (p<0.01); CP3 (p<0.05); C4 (p<0.01)). Classification accuracy of MT vs. REST was significantly higher than SS vs. REST (77% and 63%; p<10-8). Classifiers trained on MT vs. REST were able to classify SS trials significantly above chance even though no motor commands were present during SS. Classifiers trained on SS performed better in classifying MT instead of SS. Conclusions: Our results challenge the notion that the modulation of the mu rhythm is a robust phenomenon for detecting efferent commands when afferent feedback is present. Instead, they indicate that the mu ERD caused by the processing of afferent feedback generates ERD patterns in the sensorimotor cortex that are masking the ERD patterns caused by the generation of efferent commands. Thus, processing of afferent feedback represents a considerable source of false positives when the mu rhythm is used for the detection of efferent commands.