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Effect of Different Movement Speed Modes on Human Action Observation: An EEG Study
Action observation (AO) generates event-related desynchronization (ERD) suppressions in the human brain by activating partial regions of the human mirror neuron system (hMNS). The activation of the hMNS response to AO remains controversial for several reasons. Therefore, this study investigated the...
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Published in: | Frontiers in neuroscience 2018-04, Vol.12, p.219-219 |
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description | Action observation (AO) generates event-related desynchronization (ERD) suppressions in the human brain by activating partial regions of the human mirror neuron system (hMNS). The activation of the hMNS response to AO remains controversial for several reasons. Therefore, this study investigated the activation of the hMNS response to a speed factor of AO by controlling the movement speed modes of a humanoid robot's arm movements. Since hMNS activation is reflected by ERD suppressions, electroencephalography (EEG) with BCI analysis methods for ERD suppressions were used as the recording and analysis modalities. Six healthy individuals were asked to participate in experiments comprising five different conditions. Four incremental-speed AO tasks and a motor imagery (MI) task involving imaging of the same movement were presented to the individuals. Occipital and sensorimotor regions were selected for BCI analyses. The experimental results showed that hMNS activation was higher in the occipital region but more robust in the sensorimotor region. Since the attended information impacts the activations of the hMNS during AO, the pattern of hMNS activations first rises and subsequently falls to a stable level during incremental-speed modes of AO. The discipline curves suggested that a moderate speed within a decent inter-stimulus interval (ISI) range produced the highest hMNS activations. Since a brain computer/machine interface (BCI) builds a path-way between human and computer/mahcine, the discipline curves will help to construct BCIs made by patterns of action observation (AO-BCI). Furthermore, a new method for constructing non-invasive brain machine brain interfaces (BMBIs) with moderate AO-BCI and motor imagery BCI (MI-BCI) was inspired by this paper. |
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The activation of the hMNS response to AO remains controversial for several reasons. Therefore, this study investigated the activation of the hMNS response to a speed factor of AO by controlling the movement speed modes of a humanoid robot's arm movements. Since hMNS activation is reflected by ERD suppressions, electroencephalography (EEG) with BCI analysis methods for ERD suppressions were used as the recording and analysis modalities. Six healthy individuals were asked to participate in experiments comprising five different conditions. Four incremental-speed AO tasks and a motor imagery (MI) task involving imaging of the same movement were presented to the individuals. Occipital and sensorimotor regions were selected for BCI analyses. The experimental results showed that hMNS activation was higher in the occipital region but more robust in the sensorimotor region. Since the attended information impacts the activations of the hMNS during AO, the pattern of hMNS activations first rises and subsequently falls to a stable level during incremental-speed modes of AO. The discipline curves suggested that a moderate speed within a decent inter-stimulus interval (ISI) range produced the highest hMNS activations. Since a brain computer/machine interface (BCI) builds a path-way between human and computer/mahcine, the discipline curves will help to construct BCIs made by patterns of action observation (AO-BCI). Furthermore, a new method for constructing non-invasive brain machine brain interfaces (BMBIs) with moderate AO-BCI and motor imagery BCI (MI-BCI) was inspired by this paper.</description><identifier>ISSN: 1662-4548</identifier><identifier>ISSN: 1662-453X</identifier><identifier>EISSN: 1662-453X</identifier><identifier>DOI: 10.3389/fnins.2018.00219</identifier><identifier>PMID: 29674949</identifier><language>eng</language><publisher>Switzerland: Frontiers Research Foundation</publisher><subject>action observation ; Arm ; Autism ; BCI ; Brain research ; Cognitive psychology ; Color ; different speed modes ; EEG ; Electroencephalography ; ERD suppressions ; hMNS activations ; Image processing ; Interfaces ; Mental task performance ; Neuroimaging ; Neuroscience ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Rehabilitation ; Sensorimotor system ; Studies ; Voice recognition</subject><ispartof>Frontiers in neuroscience, 2018-04, Vol.12, p.219-219</ispartof><rights>2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2018 Luo, Lv, Chao and Zhou. 2018 Luo, Lv, Chao and Zhou</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-676838332c60f1c5719748e4fcd586cf321c9ca281321a84e30351fbaa282b1c3</citedby><cites>FETCH-LOGICAL-c490t-676838332c60f1c5719748e4fcd586cf321c9ca281321a84e30351fbaa282b1c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2306228228/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2306228228?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,75096</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29674949$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luo, Tian-Jian</creatorcontrib><creatorcontrib>Lv, Jitu</creatorcontrib><creatorcontrib>Chao, Fei</creatorcontrib><creatorcontrib>Zhou, Changle</creatorcontrib><title>Effect of Different Movement Speed Modes on Human Action Observation: An EEG Study</title><title>Frontiers in neuroscience</title><addtitle>Front Neurosci</addtitle><description>Action observation (AO) generates event-related desynchronization (ERD) suppressions in the human brain by activating partial regions of the human mirror neuron system (hMNS). The activation of the hMNS response to AO remains controversial for several reasons. Therefore, this study investigated the activation of the hMNS response to a speed factor of AO by controlling the movement speed modes of a humanoid robot's arm movements. Since hMNS activation is reflected by ERD suppressions, electroencephalography (EEG) with BCI analysis methods for ERD suppressions were used as the recording and analysis modalities. Six healthy individuals were asked to participate in experiments comprising five different conditions. Four incremental-speed AO tasks and a motor imagery (MI) task involving imaging of the same movement were presented to the individuals. Occipital and sensorimotor regions were selected for BCI analyses. The experimental results showed that hMNS activation was higher in the occipital region but more robust in the sensorimotor region. Since the attended information impacts the activations of the hMNS during AO, the pattern of hMNS activations first rises and subsequently falls to a stable level during incremental-speed modes of AO. The discipline curves suggested that a moderate speed within a decent inter-stimulus interval (ISI) range produced the highest hMNS activations. Since a brain computer/machine interface (BCI) builds a path-way between human and computer/mahcine, the discipline curves will help to construct BCIs made by patterns of action observation (AO-BCI). Furthermore, a new method for constructing non-invasive brain machine brain interfaces (BMBIs) with moderate AO-BCI and motor imagery BCI (MI-BCI) was inspired by this paper.</description><subject>action observation</subject><subject>Arm</subject><subject>Autism</subject><subject>BCI</subject><subject>Brain research</subject><subject>Cognitive psychology</subject><subject>Color</subject><subject>different speed modes</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>ERD suppressions</subject><subject>hMNS activations</subject><subject>Image processing</subject><subject>Interfaces</subject><subject>Mental task performance</subject><subject>Neuroimaging</subject><subject>Neuroscience</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Rehabilitation</subject><subject>Sensorimotor system</subject><subject>Studies</subject><subject>Voice recognition</subject><issn>1662-4548</issn><issn>1662-453X</issn><issn>1662-453X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkc1r3DAQxUVpadJN7z0VQS-97FYaybbUQ2FJNx-QEmgSyE3I-ki92NZGshfy31feTZamJz2NZn7ozUPoEyULxoT85vumTwsgVCwIASrfoGNaljDnBbt_e9BcHKEPKa0JKUFweI-OQJYVl1weo98r750ZcPD4Z5NldP2Af4Wt6yZxs3HO5qt1CYceX4yd7vHSDE2-XNfJxa2e9He87PFqdY5vhtE-naB3XrfJfXw-Z-jubHV7ejG_uj6_PF1ezQ2XZJiXVSmYYAxMSTw1RUVlxYXj3thClMYzoEYaDYJmpQV3jLCC-lrnEtTUsBm63HNt0Gu1iU2n45MKulG7QogPSsehMa1T2lJBLLc115QDrSXPm9FQVVXBCdQT68eetRnrzlmTzUfdvoK-fumbP-ohbFUhZFGByICvz4AYHkeXBtU1ybi21b0LY1JAIHeCyG5m6Mt_reswxj6vSgHLEWV7OyDZd5kYUorOHz5DiZrCV7vw1RS-2oWfRz7_a-Iw8JI2-wvd0qlR</recordid><startdate>20180405</startdate><enddate>20180405</enddate><creator>Luo, Tian-Jian</creator><creator>Lv, Jitu</creator><creator>Chao, Fei</creator><creator>Zhou, Changle</creator><general>Frontiers Research Foundation</general><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20180405</creationdate><title>Effect of Different Movement Speed Modes on Human Action Observation: An EEG Study</title><author>Luo, Tian-Jian ; Lv, Jitu ; Chao, Fei ; Zhou, Changle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-676838332c60f1c5719748e4fcd586cf321c9ca281321a84e30351fbaa282b1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>action observation</topic><topic>Arm</topic><topic>Autism</topic><topic>BCI</topic><topic>Brain research</topic><topic>Cognitive psychology</topic><topic>Color</topic><topic>different speed modes</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>ERD suppressions</topic><topic>hMNS activations</topic><topic>Image processing</topic><topic>Interfaces</topic><topic>Mental task performance</topic><topic>Neuroimaging</topic><topic>Neuroscience</topic><topic>Neurosciences</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Rehabilitation</topic><topic>Sensorimotor system</topic><topic>Studies</topic><topic>Voice recognition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Tian-Jian</creatorcontrib><creatorcontrib>Lv, Jitu</creatorcontrib><creatorcontrib>Chao, Fei</creatorcontrib><creatorcontrib>Zhou, Changle</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Biological Sciences</collection><collection>Science Journals (ProQuest Database)</collection><collection>Biological Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Tian-Jian</au><au>Lv, Jitu</au><au>Chao, Fei</au><au>Zhou, Changle</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Different Movement Speed Modes on Human Action Observation: An EEG Study</atitle><jtitle>Frontiers in neuroscience</jtitle><addtitle>Front Neurosci</addtitle><date>2018-04-05</date><risdate>2018</risdate><volume>12</volume><spage>219</spage><epage>219</epage><pages>219-219</pages><issn>1662-4548</issn><issn>1662-453X</issn><eissn>1662-453X</eissn><abstract>Action observation (AO) generates event-related desynchronization (ERD) suppressions in the human brain by activating partial regions of the human mirror neuron system (hMNS). The activation of the hMNS response to AO remains controversial for several reasons. Therefore, this study investigated the activation of the hMNS response to a speed factor of AO by controlling the movement speed modes of a humanoid robot's arm movements. Since hMNS activation is reflected by ERD suppressions, electroencephalography (EEG) with BCI analysis methods for ERD suppressions were used as the recording and analysis modalities. Six healthy individuals were asked to participate in experiments comprising five different conditions. Four incremental-speed AO tasks and a motor imagery (MI) task involving imaging of the same movement were presented to the individuals. Occipital and sensorimotor regions were selected for BCI analyses. The experimental results showed that hMNS activation was higher in the occipital region but more robust in the sensorimotor region. Since the attended information impacts the activations of the hMNS during AO, the pattern of hMNS activations first rises and subsequently falls to a stable level during incremental-speed modes of AO. The discipline curves suggested that a moderate speed within a decent inter-stimulus interval (ISI) range produced the highest hMNS activations. Since a brain computer/machine interface (BCI) builds a path-way between human and computer/mahcine, the discipline curves will help to construct BCIs made by patterns of action observation (AO-BCI). Furthermore, a new method for constructing non-invasive brain machine brain interfaces (BMBIs) with moderate AO-BCI and motor imagery BCI (MI-BCI) was inspired by this paper.</abstract><cop>Switzerland</cop><pub>Frontiers Research Foundation</pub><pmid>29674949</pmid><doi>10.3389/fnins.2018.00219</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | action observation Arm Autism BCI Brain research Cognitive psychology Color different speed modes EEG Electroencephalography ERD suppressions hMNS activations Image processing Interfaces Mental task performance Neuroimaging Neuroscience Neurosciences NMR Nuclear magnetic resonance Rehabilitation Sensorimotor system Studies Voice recognition |
title | Effect of Different Movement Speed Modes on Human Action Observation: An EEG Study |
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