naa a22 4500 551328207 20181213055947.0 cr unu---uuuuu 181213e20180821xx s 000 0 eng 0014-4819 10.1007/s00221-018-5365-5 doi 10.1007/s00221-018-5365-5 doi (BORIS)oai:boris.unibe.ch:119594 (ETHRESEARCH)oai:www.research-collection.ethz.ch:20.500.11850/304166 610 ddc 620 ddc 30132040 pmid Neural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individuals [Elektronische Daten] [Marie-Hélène Milot, Laura Marchal Crespo, Louis-David Beaulieu, David J. Reinkensmeyer, Steven C. Cramer] Exp Brain Res publishedVersion openAccess eu-repo To promote motor learning, robotic devices have been used to improve subjects' performance by guiding desired movements (haptic guidance—HG) or by artificially increasing movement errors to foster a more rapid learning (error amplification—EA). To better understand the neurophysiological basis of motor learning, a few studies have evaluated brain regions activated during EA/HG, but none has compared both approaches. The goal of this study was to investigate using fMRI which brain networks were activated during a single training session of HG/EA in healthy adults learning to play a computerized pinball-like timing task. Subjects had to trigger a robotic device by flexing their wrist at the correct timing to activate a virtual flipper and hit a falling ball towards randomly positioned targets. During training with HG/EA, subjects' timing errors were decreased/increased, respectively, by the robotic device to delay or accelerate their wrist movement. The results showed that at the beginning of the training period with HG/EA, an error-detection network, including cerebellum and angular gyrus, was activated, consistent with subjects recognizing discrepancies between their intended actions and the actual movement timing. At the end of the training period, an error-detection network was still present for EA, while a memory consolidation/automatization network (caudate head and parahippocampal gyrus) was activated for HG. The results indicate that training movement with various kinds of robotic input relies on different brain networks. Better understanding the neurophysiological underpinnings of brain processes during HG/EA could prove useful for optimizing rehabilitative movement training for people with different patterns of brain damage. Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 ethresearch Haptic guidance ethresearch Error amplification ethresearch Brain activation ethresearch Motor learning ethresearch Timing ethresearch Milot Marie-Hélène joint author Marchal Crespo Laura joint author Beaulieu Louis-David joint author Reinkensmeyer David J. joint author Cramer Steven C. joint author Experimental brain research 236(11), pp. 3085-3099 0014-4819 https://boris.unibe.ch/119594/1/Milot2018_Article_NeuralCircuitsActivatedByError.pdf text/html WWW-Backlink auf das Repository 1 info:eu-repo/semantics/article boris PeerReviewed boris peerstatus BORIS 856 40 https://boris.unibe.ch/119594/1/Milot2018_Article_NeuralCircuitsActivatedByError.pdf text/html WWW-Backlink auf das Repository BORIS 700 1- Milot Marie-Hélène joint author BORIS 700 1- Marchal Crespo Laura joint author BORIS 700 1- Beaulieu Louis-David joint author BORIS 700 1- Reinkensmeyer David J. joint author BORIS 700 1- Cramer Steven C. joint author BORIS 773 0- Experimental brain research 236(11), pp. 3085-3099 0014-4819 ETHRESEARCH 856 40 http://hdl.handle.net/20.500.11850/304166 text/html WWW-Backlink auf das Repository (Open access) ETHRESEARCH 700 1- Milot Marie-Hélène joint author ETHRESEARCH 700 1- Marchal-Crespo Laura joint author ETHRESEARCH 700 1- Beaulieu Louis-David joint author ETHRESEARCH 700 1- Reinkensmeyer David J. joint author ETHRESEARCH 700 1- Cramer Steven C. joint author ETHRESEARCH 773 0- Experimental Brain Research Berlin : Springer 236 (11), pp. 3085-3099 0014-4819 BK010053 XK010053 XK010000 BORIS BORIS BORIS info:eu-repo/semantics/article openAccess ETHRESEARCH ETHRESEARCH ETHRESEARCH Journal Article Open access