Coherence between magnetoencephalography and hand-action-related acceleration, force, pressure, and electromyogram

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Piitulainen, Harri
dc.contributor.author Bourguignon, Mathieu
dc.contributor.author De Tiege, Xavier
dc.contributor.author Hari, Riitta
dc.contributor.author Jousmaki, Veikko
dc.date.accessioned 2017-05-11T08:29:27Z
dc.date.available 2017-05-11T08:29:27Z
dc.date.issued 2013
dc.identifier.citation Piitulainen , H , Bourguignon , M , De Tiege , X , Hari , R & Jousmaki , V 2013 , ' Coherence between magnetoencephalography and hand-action-related acceleration, force, pressure, and electromyogram ' , NeuroImage , vol. 72 , pp. 83-90 . https://doi.org/10.1016/j.neuroimage.2013.01.029 en
dc.identifier.issn 1053-8119
dc.identifier.issn 1095-9572
dc.identifier.other PURE UUID: 779ec2c0-db0f-49d0-9b55-77ceffc94d1d
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/coherence-between-magnetoencephalography-and-handactionrelated-acceleration-force-pressure-and-electromyogram(779ec2c0-db0f-49d0-9b55-77ceffc94d1d).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/11701956/1_s2.0_S1053811913000761_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/25629
dc.description.abstract Hand velocity and acceleration are coherent with magnetoencephalographic (MEG) signals recorded from the contralateral primary sensorimotor (SM1) cortex. To learn more of this interaction, we compared the coupling of MEG signals with four hand-action-related peripheral signals: acceleration, pressure, force, and electromyogram (EMG). Fifteen subjects performed self-paced repetitive hand-action tasks for 3.5 min at a rate of about 3 Hz. Either acceleration, pressure or force signal was acquired with MEG and EMG signals during (1) flexions–extensions of right-hand fingers, with thumb touching the other fingers (acceleration; free), (2) dynamic index–thumb pinches against an elastic rubber ball attached to a pressure sensor (pressure and acceleration; squeeze), and (3) brief fixed-finger-position index–thumb pinches against a rigid load cell (force; fixed-pinch). Significant coherence occurred between MEG and all the four peripheral measures at the fundamental frequency of the hand action (F0) and its first harmonic (F1). In all tasks, the cortical sources contributing to the cross-correlograms were located at the contralateral hand SM1 cortex, with average inter-source distance (mean ± SEM) of 9.5 ± 0.3 mm. The coherence was stronger with respect to pressure (0.40 ± 0.03 in squeeze) and force (0.38 ± 0.04 in fixed-pinch) than acceleration (0.24 ± 0.03 in free) and EMG (0.25 ± 0.02 in free, and 0.29 ± 0.04 in fixed-pinch). The results imply that the SM1 cortex is strongly coherent at F0 and F1 with hand-action-related pressure and force, in addition to the previously demonstrated EMG, velocity, and acceleration. All these measures, especially force and pressure, are potential tools for functional mapping of the SM1 cortex. en
dc.format.extent 83-90
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries NEUROIMAGE en
dc.relation.ispartofseries Volume 72 en
dc.rights openAccess en
dc.subject.other 114 Physical sciences en
dc.subject.other 221 Nanotechnology en
dc.subject.other 214 Mechanical engineering en
dc.subject.other 218 Environmental engineering en
dc.title Coherence between magnetoencephalography and hand-action-related acceleration, force, pressure, and electromyogram en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Neuroscience and Biomedical Engineering en
dc.subject.keyword Accelerometer
dc.subject.keyword Corticokinematic coherence
dc.subject.keyword Corticomuscular coherence
dc.subject.keyword Kinetics
dc.subject.keyword Magnetoencephalography
dc.subject.keyword Sensorimotor cortex
dc.subject.keyword 114 Physical sciences
dc.subject.keyword 221 Nanotechnology
dc.subject.keyword 214 Mechanical engineering
dc.subject.keyword 218 Environmental engineering
dc.identifier.urn URN:NBN:fi:aalto-201705114013
dc.identifier.doi 10.1016/j.neuroimage.2013.01.029
dc.type.version publishedVersion


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