The speed of parietal theta frequency drives visuospatial working memory capacity
The speed of theta brain oscillatory activity is thought to play a key role in determining working memory (WM) capacity. Individual differences in the length of a theta cycle (ranging between 4 and 7 Hz) might determine how many gamma cycles (>30 Hz) can be nested into a theta wave. Gamma cycles...
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| Veröffentlicht in: | PLoS biology 2018-03, Vol.16 (3), p.e2005348-e2005348 |
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| creator | Wolinski, Nina Cooper, Nicholas R Sauseng, Paul Romei, Vincenzo |
| description | The speed of theta brain oscillatory activity is thought to play a key role in determining working memory (WM) capacity. Individual differences in the length of a theta cycle (ranging between 4 and 7 Hz) might determine how many gamma cycles (>30 Hz) can be nested into a theta wave. Gamma cycles are thought to represent single memory items; therefore, this interplay could determine individual memory capacity. We directly tested this hypothesis by means of parietal transcranial alternating current stimulation (tACS) set at slower (4 Hz) and faster (7 Hz) theta frequencies during a visuospatial WM paradigm. Accordingly, we found that 4-Hz tACS enhanced WM capacity, while 7-Hz tACS reduced WM capacity. Notably, these effects were found only for items presented to the hemifield contralateral to the stimulation site. This provides causal evidence for a frequency-dependent and spatially specific organization of WM storage, supporting the theta-gamma phase coupling theory of WM capacity. |
| doi_str_mv | 10.1371/journal.pbio.2005348 |
| format | Article |
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Individual differences in the length of a theta cycle (ranging between 4 and 7 Hz) might determine how many gamma cycles (>30 Hz) can be nested into a theta wave. Gamma cycles are thought to represent single memory items; therefore, this interplay could determine individual memory capacity. We directly tested this hypothesis by means of parietal transcranial alternating current stimulation (tACS) set at slower (4 Hz) and faster (7 Hz) theta frequencies during a visuospatial WM paradigm. Accordingly, we found that 4-Hz tACS enhanced WM capacity, while 7-Hz tACS reduced WM capacity. Notably, these effects were found only for items presented to the hemifield contralateral to the stimulation site. This provides causal evidence for a frequency-dependent and spatially specific organization of WM storage, supporting the theta-gamma phase coupling theory of WM capacity.</description><identifier>ISSN: 1545-7885</identifier><identifier>ISSN: 1544-9173</identifier><identifier>EISSN: 1545-7885</identifier><identifier>DOI: 10.1371/journal.pbio.2005348</identifier><identifier>PMID: 29538384</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Biology and Life Sciences ; Brain ; Electric properties ; Female ; Frequency dependence ; Gamma phase ; Humans ; Hypotheses ; Male ; Medicine and Health Sciences ; Memory ; Memory, Short-Term ; Parietal Lobe - physiology ; Physical Sciences ; Physiological aspects ; Receptive field ; Research and Analysis Methods ; Short Reports ; Short term memory ; Social Sciences ; Spatial memory ; Stimulation ; Theta Rhythm - physiology ; Theta rhythms ; Visual Perception ; Visual task performance</subject><ispartof>PLoS biology, 2018-03, Vol.16 (3), p.e2005348-e2005348</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Wolinski N, Cooper NR, Sauseng P, Romei V (2018) The speed of parietal theta frequency drives visuospatial working memory capacity. PLoS Biol 16(3): e2005348. https://doi.org/10.1371/journal.pbio.2005348</rights><rights>2018 Wolinski et al 2018 Wolinski et al</rights><rights>2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Wolinski N, Cooper NR, Sauseng P, Romei V (2018) The speed of parietal theta frequency drives visuospatial working memory capacity. 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Individual differences in the length of a theta cycle (ranging between 4 and 7 Hz) might determine how many gamma cycles (>30 Hz) can be nested into a theta wave. Gamma cycles are thought to represent single memory items; therefore, this interplay could determine individual memory capacity. We directly tested this hypothesis by means of parietal transcranial alternating current stimulation (tACS) set at slower (4 Hz) and faster (7 Hz) theta frequencies during a visuospatial WM paradigm. Accordingly, we found that 4-Hz tACS enhanced WM capacity, while 7-Hz tACS reduced WM capacity. Notably, these effects were found only for items presented to the hemifield contralateral to the stimulation site. This provides causal evidence for a frequency-dependent and spatially specific organization of WM storage, supporting the theta-gamma phase coupling theory of WM capacity.</description><subject>Adult</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Electric properties</subject><subject>Female</subject><subject>Frequency dependence</subject><subject>Gamma phase</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Memory</subject><subject>Memory, Short-Term</subject><subject>Parietal Lobe - physiology</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Receptive field</subject><subject>Research and Analysis Methods</subject><subject>Short Reports</subject><subject>Short term memory</subject><subject>Social Sciences</subject><subject>Spatial memory</subject><subject>Stimulation</subject><subject>Theta Rhythm - physiology</subject><subject>Theta rhythms</subject><subject>Visual Perception</subject><subject>Visual task performance</subject><issn>1545-7885</issn><issn>1544-9173</issn><issn>1545-7885</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqVkktv1DAQxyMEoqXwDRBE4gKHXfxM7AtSVfFYqaICClfLcSa7XpI42Mm2--1x2LRqUA8gW7I1_s1_Hp4keY7REtMcv926wbe6XnaFdUuCEKdMPEiOMWd8kQvBH965HyVPQtgiRIgk4nFyRCSnggp2nHy53EAaOoAydVXaaW-h13Xab-KRVh5-DdCafVp6u4OQ7mwYXOh0byNz5fxP267TBhrn96nRnTa23z9NHlW6DvBsOk-S7x_eX559WpxffFydnZ4vTJ7hfgGkkEITY0Qhc1YVyJSYEkQNL3KGMePEZMyQrKhERXiWcc4qzQgGRDXOCk5PkpcH3a52QU3dCIqgSMtYJo3E6kCUTm9V522j_V45bdUfg_NrpX1vTQ2KYQSZBISZJEyaXBtmckJ4mRuJRCmi1rsp2lA0UBpoe6_rmej8pbUbtXY7xUUmBENR4PUk4F1sauhVY4OButYtuGHMGzPM4s4i-uov9P7qJmqtYwG2rVyMa0ZRdcoppRxLNua9vIeKq4TGGtdCZaN95vBm5hCZHq77tR5CUKtvX_-D_fzv7MWPOcsOrPEuBA_VbZ8xUuPw3zREjcOvpuGPbi_u_tGt082009_KVP4T</recordid><startdate>20180314</startdate><enddate>20180314</enddate><creator>Wolinski, Nina</creator><creator>Cooper, Nicholas R</creator><creator>Sauseng, Paul</creator><creator>Romei, Vincenzo</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZG</scope><orcidid>https://orcid.org/0000-0003-1214-2316</orcidid></search><sort><creationdate>20180314</creationdate><title>The speed of parietal theta frequency drives visuospatial working memory capacity</title><author>Wolinski, Nina ; Cooper, Nicholas R ; Sauseng, Paul ; Romei, Vincenzo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c761t-e2b98a2cc8b974fb0cd13203c5b7411452c64c26bf8f2566554fa421e03a16b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Electric properties</topic><topic>Female</topic><topic>Frequency dependence</topic><topic>Gamma phase</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Memory</topic><topic>Memory, Short-Term</topic><topic>Parietal Lobe - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Biology</collection><jtitle>PLoS biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wolinski, Nina</au><au>Cooper, Nicholas R</au><au>Sauseng, Paul</au><au>Romei, Vincenzo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The speed of parietal theta frequency drives visuospatial working memory capacity</atitle><jtitle>PLoS biology</jtitle><addtitle>PLoS Biol</addtitle><date>2018-03-14</date><risdate>2018</risdate><volume>16</volume><issue>3</issue><spage>e2005348</spage><epage>e2005348</epage><pages>e2005348-e2005348</pages><issn>1545-7885</issn><issn>1544-9173</issn><eissn>1545-7885</eissn><abstract>The speed of theta brain oscillatory activity is thought to play a key role in determining working memory (WM) capacity. Individual differences in the length of a theta cycle (ranging between 4 and 7 Hz) might determine how many gamma cycles (>30 Hz) can be nested into a theta wave. Gamma cycles are thought to represent single memory items; therefore, this interplay could determine individual memory capacity. We directly tested this hypothesis by means of parietal transcranial alternating current stimulation (tACS) set at slower (4 Hz) and faster (7 Hz) theta frequencies during a visuospatial WM paradigm. Accordingly, we found that 4-Hz tACS enhanced WM capacity, while 7-Hz tACS reduced WM capacity. Notably, these effects were found only for items presented to the hemifield contralateral to the stimulation site. This provides causal evidence for a frequency-dependent and spatially specific organization of WM storage, supporting the theta-gamma phase coupling theory of WM capacity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29538384</pmid><doi>10.1371/journal.pbio.2005348</doi><orcidid>https://orcid.org/0000-0003-1214-2316</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Biology and Life Sciences Brain Electric properties Female Frequency dependence Gamma phase Humans Hypotheses Male Medicine and Health Sciences Memory Memory, Short-Term Parietal Lobe - physiology Physical Sciences Physiological aspects Receptive field Research and Analysis Methods Short Reports Short term memory Social Sciences Spatial memory Stimulation Theta Rhythm - physiology Theta rhythms Visual Perception Visual task performance |
| title | The speed of parietal theta frequency drives visuospatial working memory capacity |
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