Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people
Timely relief of anxiety in healthy people is important, but there is little research on this topic at present. Neurofeedback training allows subjects to regulate their specific brain activities autonomously and thus alter their corresponding cognitive functions. Inattention is a significant cogniti...
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| Veröffentlicht in: | Cognitive neurodynamics 2022-06, Vol.16 (3), p.531-544 |
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| creator | Liu, Shuang Hao, Xinyu Liu, Xiaoya He, Yuchen Zhang, Ludan An, Xingwei Song, Xizi Ming, Dong |
| description | Timely relief of anxiety in healthy people is important, but there is little research on this topic at present. Neurofeedback training allows subjects to regulate their specific brain activities autonomously and thus alter their corresponding cognitive functions. Inattention is a significant cognitive deficit in patients with anxiety. Sensorimotor rhythm (SMR) was reported to be closely related to attention. In this study, trainability, frequency specificity, and brain-behavior relationships were utilized to verify the validity of a relative SMR power protocol. An EEG neurofeedback training system was developed for alleviating anxiety levels in healthy people. The EEG data were collected from 33 subjects during SMR up-training sessions. Subjects attended six times neurofeedback training for about 2 weeks. The feedback value of the neurofeedback group was the relative SMR power at the feedback electrode (electrode C3), while the feedback values for the control group were pseudorandom numbers. The trainability index revealed that the learning trend showed an increase in SMR power activity at the C3 electrode, confirming effects across training. The frequency specificity index revealed only that SMR band activity increased significantly in the neurofeedback group. The brain-behavior relationships index revealed that increased SMR activity correlated negatively with the severity of anxiety. This study indicates that neurofeedback training using a relative SMR power protocol, based on activity at the C3 electrode, could relieve anxiety levels for healthy people and increase the SMR power. Preliminary studies support the feasibility and efficacy of the relative SMR power protocol for healthy people with anxiety. |
| doi_str_mv | 10.1007/s11571-021-09732-8 |
| format | Article |
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Neurofeedback training allows subjects to regulate their specific brain activities autonomously and thus alter their corresponding cognitive functions. Inattention is a significant cognitive deficit in patients with anxiety. Sensorimotor rhythm (SMR) was reported to be closely related to attention. In this study, trainability, frequency specificity, and brain-behavior relationships were utilized to verify the validity of a relative SMR power protocol. An EEG neurofeedback training system was developed for alleviating anxiety levels in healthy people. The EEG data were collected from 33 subjects during SMR up-training sessions. Subjects attended six times neurofeedback training for about 2 weeks. The feedback value of the neurofeedback group was the relative SMR power at the feedback electrode (electrode C3), while the feedback values for the control group were pseudorandom numbers. The trainability index revealed that the learning trend showed an increase in SMR power activity at the C3 electrode, confirming effects across training. The frequency specificity index revealed only that SMR band activity increased significantly in the neurofeedback group. The brain-behavior relationships index revealed that increased SMR activity correlated negatively with the severity of anxiety. This study indicates that neurofeedback training using a relative SMR power protocol, based on activity at the C3 electrode, could relieve anxiety levels for healthy people and increase the SMR power. Preliminary studies support the feasibility and efficacy of the relative SMR power protocol for healthy people with anxiety.</description><identifier>ISSN: 1871-4080</identifier><identifier>EISSN: 1871-4099</identifier><identifier>DOI: 10.1007/s11571-021-09732-8</identifier><identifier>PMID: 35603045</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Anxiety ; Anxiety disorders ; Artificial Intelligence ; Attention deficit hyperactivity disorder ; Biochemistry ; Biofeedback ; Biomedical and Life Sciences ; Biomedicine ; Brain ; Cognitive ability ; Cognitive Psychology ; Computer Science ; EEG ; Electrodes ; Electroencephalography ; Feasibility studies ; Feedback ; Hyperactivity ; Mental disorders ; Neurosciences ; Pseudorandom ; Psychotherapy ; Research Article ; Rhythm ; Sensorimotor system ; Sleep ; Training</subject><ispartof>Cognitive neurodynamics, 2022-06, Vol.16 (3), p.531-544</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-cad0c90fec99459766b04b32fe5d52d726382755d70524ca0dd6bfdc33f1e2733</citedby><cites>FETCH-LOGICAL-c474t-cad0c90fec99459766b04b32fe5d52d726382755d70524ca0dd6bfdc33f1e2733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120321/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918682835?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,21367,27901,27902,33721,33722,41464,42533,43781,51294,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35603045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Shuang</creatorcontrib><creatorcontrib>Hao, Xinyu</creatorcontrib><creatorcontrib>Liu, Xiaoya</creatorcontrib><creatorcontrib>He, Yuchen</creatorcontrib><creatorcontrib>Zhang, Ludan</creatorcontrib><creatorcontrib>An, Xingwei</creatorcontrib><creatorcontrib>Song, Xizi</creatorcontrib><creatorcontrib>Ming, Dong</creatorcontrib><title>Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people</title><title>Cognitive neurodynamics</title><addtitle>Cogn Neurodyn</addtitle><addtitle>Cogn Neurodyn</addtitle><description>Timely relief of anxiety in healthy people is important, but there is little research on this topic at present. Neurofeedback training allows subjects to regulate their specific brain activities autonomously and thus alter their corresponding cognitive functions. Inattention is a significant cognitive deficit in patients with anxiety. Sensorimotor rhythm (SMR) was reported to be closely related to attention. In this study, trainability, frequency specificity, and brain-behavior relationships were utilized to verify the validity of a relative SMR power protocol. An EEG neurofeedback training system was developed for alleviating anxiety levels in healthy people. The EEG data were collected from 33 subjects during SMR up-training sessions. Subjects attended six times neurofeedback training for about 2 weeks. The feedback value of the neurofeedback group was the relative SMR power at the feedback electrode (electrode C3), while the feedback values for the control group were pseudorandom numbers. The trainability index revealed that the learning trend showed an increase in SMR power activity at the C3 electrode, confirming effects across training. The frequency specificity index revealed only that SMR band activity increased significantly in the neurofeedback group. The brain-behavior relationships index revealed that increased SMR activity correlated negatively with the severity of anxiety. This study indicates that neurofeedback training using a relative SMR power protocol, based on activity at the C3 electrode, could relieve anxiety levels for healthy people and increase the SMR power. Preliminary studies support the feasibility and efficacy of the relative SMR power protocol for healthy people with anxiety.</description><subject>Anxiety</subject><subject>Anxiety disorders</subject><subject>Artificial Intelligence</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Biochemistry</subject><subject>Biofeedback</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain</subject><subject>Cognitive ability</subject><subject>Cognitive Psychology</subject><subject>Computer Science</subject><subject>EEG</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Feasibility studies</subject><subject>Feedback</subject><subject>Hyperactivity</subject><subject>Mental disorders</subject><subject>Neurosciences</subject><subject>Pseudorandom</subject><subject>Psychotherapy</subject><subject>Research Article</subject><subject>Rhythm</subject><subject>Sensorimotor system</subject><subject>Sleep</subject><subject>Training</subject><issn>1871-4080</issn><issn>1871-4099</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kUtv1DAUhS0Eog_4AyxQJDbdBPyM7U2lqmopUhEL2rXl2DcTl4w9tZOK-fcYpgyFBQvLlu93z71HB6E3BL8nGMsPhRAhSYtpPVoy2qpn6JCo-sWx1s_3b4UP0FEpdxiLThH-Eh0w0WGGuThEn79CLCmHdZpTbvK4ncd1E2HJaQDwvXXfmjnbEENcNRmmAA9QGhu_B5i3TYjNCHaax22zgbSZ4BV6MdipwOvH-xjdXl7cnF-1118-fjo_u24dl3xunfXYaTyA05oLLbuux7xndADhBfWSdkxRKYSXWFDuLPa-6wfvGBsIUMnYMTrd6W6Wfg3eQaxLTmZTfdi8NckG83clhtGs0oPRhGJGSRU4eRTI6X6BMpt1KA6myUZISzG06xQlWkhe0Xf_oHdpybHaM1QTVTnFRKXojnI5lZJh2C9DsPmZltmlZWpa5ldaRtWmt09t7Ft-x1MBtgNKLcUV5D-z_yP7AyR7oYw</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Liu, Shuang</creator><creator>Hao, Xinyu</creator><creator>Liu, Xiaoya</creator><creator>He, Yuchen</creator><creator>Zhang, Ludan</creator><creator>An, Xingwei</creator><creator>Song, Xizi</creator><creator>Ming, Dong</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220601</creationdate><title>Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people</title><author>Liu, Shuang ; Hao, Xinyu ; Liu, Xiaoya ; He, Yuchen ; Zhang, Ludan ; An, Xingwei ; Song, Xizi ; Ming, Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-cad0c90fec99459766b04b32fe5d52d726382755d70524ca0dd6bfdc33f1e2733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anxiety</topic><topic>Anxiety disorders</topic><topic>Artificial Intelligence</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Biochemistry</topic><topic>Biofeedback</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain</topic><topic>Cognitive ability</topic><topic>Cognitive Psychology</topic><topic>Computer Science</topic><topic>EEG</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Feasibility studies</topic><topic>Feedback</topic><topic>Hyperactivity</topic><topic>Mental disorders</topic><topic>Neurosciences</topic><topic>Pseudorandom</topic><topic>Psychotherapy</topic><topic>Research Article</topic><topic>Rhythm</topic><topic>Sensorimotor system</topic><topic>Sleep</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Shuang</creatorcontrib><creatorcontrib>Hao, Xinyu</creatorcontrib><creatorcontrib>Liu, Xiaoya</creatorcontrib><creatorcontrib>He, Yuchen</creatorcontrib><creatorcontrib>Zhang, Ludan</creatorcontrib><creatorcontrib>An, Xingwei</creatorcontrib><creatorcontrib>Song, Xizi</creatorcontrib><creatorcontrib>Ming, Dong</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cognitive neurodynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Shuang</au><au>Hao, Xinyu</au><au>Liu, Xiaoya</au><au>He, Yuchen</au><au>Zhang, Ludan</au><au>An, Xingwei</au><au>Song, Xizi</au><au>Ming, Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people</atitle><jtitle>Cognitive neurodynamics</jtitle><stitle>Cogn Neurodyn</stitle><addtitle>Cogn Neurodyn</addtitle><date>2022-06-01</date><risdate>2022</risdate><volume>16</volume><issue>3</issue><spage>531</spage><epage>544</epage><pages>531-544</pages><issn>1871-4080</issn><eissn>1871-4099</eissn><abstract>Timely relief of anxiety in healthy people is important, but there is little research on this topic at present. Neurofeedback training allows subjects to regulate their specific brain activities autonomously and thus alter their corresponding cognitive functions. Inattention is a significant cognitive deficit in patients with anxiety. Sensorimotor rhythm (SMR) was reported to be closely related to attention. In this study, trainability, frequency specificity, and brain-behavior relationships were utilized to verify the validity of a relative SMR power protocol. An EEG neurofeedback training system was developed for alleviating anxiety levels in healthy people. The EEG data were collected from 33 subjects during SMR up-training sessions. Subjects attended six times neurofeedback training for about 2 weeks. The feedback value of the neurofeedback group was the relative SMR power at the feedback electrode (electrode C3), while the feedback values for the control group were pseudorandom numbers. The trainability index revealed that the learning trend showed an increase in SMR power activity at the C3 electrode, confirming effects across training. The frequency specificity index revealed only that SMR band activity increased significantly in the neurofeedback group. The brain-behavior relationships index revealed that increased SMR activity correlated negatively with the severity of anxiety. This study indicates that neurofeedback training using a relative SMR power protocol, based on activity at the C3 electrode, could relieve anxiety levels for healthy people and increase the SMR power. Preliminary studies support the feasibility and efficacy of the relative SMR power protocol for healthy people with anxiety.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>35603045</pmid><doi>10.1007/s11571-021-09732-8</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Anxiety Anxiety disorders Artificial Intelligence Attention deficit hyperactivity disorder Biochemistry Biofeedback Biomedical and Life Sciences Biomedicine Brain Cognitive ability Cognitive Psychology Computer Science EEG Electrodes Electroencephalography Feasibility studies Feedback Hyperactivity Mental disorders Neurosciences Pseudorandom Psychotherapy Research Article Rhythm Sensorimotor system Sleep Training |
| title | Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people |
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