Sex-related differences in working memory for orientations: Analysis of distributed EEG sources model
A group of 31 healthy young adults (16 males and 15 females) performed two working memory tasks (WM): they were asked to 1) compare the orientations of sequentially presented sample and test gratings and 2) determine the direction of rotation of the test grating relative to the sample one. 128-chann...
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| Veröffentlicht in: | Neuroscience and behavioral physiology 2023-05, Vol.53 (4), p.661-669 |
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| creator | Mayorova, L. A. Mikhailova, E. S. Saltykov, K. A. Gerasimenko, N. Yu Kushnir, A. B. |
| description | A group of 31 healthy young adults (16 males and 15 females) performed two working memory tasks (WM): they were asked to 1) compare the orientations of sequentially presented sample and test gratings and 2) determine the direction of rotation of the test grating relative to the sample one. 128-channel EEG was registered. A multivariate analysis of distributed dipole activity was performed for the stage of comparison (in the interval of 50-350 ms after the test stimulus onset). Statistically significant sex related differences were revealed in the topography of cortical activity related to the comparison of the sample and test gratings. The differences were observed bilaterally in the occipital, parietal and temporal regions and, to a lesser extent, in the frontal cortex. The “males > females” contrasts were significant for the dipole activity of the posterior areas (occipital, parietal and temporal), while the "females > males" contrasts were significant in the structures of the frontal cortex. The obtained data confirm that neural networks involved in working memory for orientations differ between males and females. Specifically, males demonstrate a greater involvement of the posterior cortical areas, while in females the frontal cortex is more involved.
Highlights
Neural networks involved in orientation working memory differ between males and females.
When performing orientation working memory, males demonstrate a greater activation of the caudal cortical areas, while in females the frontal cortex is more involved. |
| doi_str_mv | 10.1007/s11055-023-01400-0 |
| format | Article |
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Highlights
Neural networks involved in orientation working memory differ between males and females.
When performing orientation working memory, males demonstrate a greater activation of the caudal cortical areas, while in females the frontal cortex is more involved.</description><identifier>ISSN: 0097-0549</identifier><identifier>EISSN: 1573-899X</identifier><identifier>DOI: 10.1007/s11055-023-01400-0</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Behavioral Sciences ; Biomedical and Life Sciences ; Biomedicine ; Brain architecture ; Cortex (frontal) ; EEG ; Females ; Males ; Multivariate analysis ; Neural networks ; Neurobiology ; Neurosciences ; Sex differences ; Short term memory ; Statistical analysis ; Temporal cortex ; Young adults</subject><ispartof>Neuroscience and behavioral physiology, 2023-05, Vol.53 (4), p.661-669</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1850-ececf1922670a1d2b152c602b499cd2d5eaf8ff455aba074737095e98d405fa63</cites><orcidid>0000-0001-5112-7878</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11055-023-01400-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11055-023-01400-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Mayorova, L. A.</creatorcontrib><creatorcontrib>Mikhailova, E. S.</creatorcontrib><creatorcontrib>Saltykov, K. A.</creatorcontrib><creatorcontrib>Gerasimenko, N. Yu</creatorcontrib><creatorcontrib>Kushnir, A. B.</creatorcontrib><title>Sex-related differences in working memory for orientations: Analysis of distributed EEG sources model</title><title>Neuroscience and behavioral physiology</title><addtitle>Neurosci Behav Physi</addtitle><description>A group of 31 healthy young adults (16 males and 15 females) performed two working memory tasks (WM): they were asked to 1) compare the orientations of sequentially presented sample and test gratings and 2) determine the direction of rotation of the test grating relative to the sample one. 128-channel EEG was registered. A multivariate analysis of distributed dipole activity was performed for the stage of comparison (in the interval of 50-350 ms after the test stimulus onset). Statistically significant sex related differences were revealed in the topography of cortical activity related to the comparison of the sample and test gratings. The differences were observed bilaterally in the occipital, parietal and temporal regions and, to a lesser extent, in the frontal cortex. The “males > females” contrasts were significant for the dipole activity of the posterior areas (occipital, parietal and temporal), while the "females > males" contrasts were significant in the structures of the frontal cortex. The obtained data confirm that neural networks involved in working memory for orientations differ between males and females. Specifically, males demonstrate a greater involvement of the posterior cortical areas, while in females the frontal cortex is more involved.
Highlights
Neural networks involved in orientation working memory differ between males and females.
When performing orientation working memory, males demonstrate a greater activation of the caudal cortical areas, while in females the frontal cortex is more involved.</description><subject>Behavioral Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain architecture</subject><subject>Cortex (frontal)</subject><subject>EEG</subject><subject>Females</subject><subject>Males</subject><subject>Multivariate analysis</subject><subject>Neural networks</subject><subject>Neurobiology</subject><subject>Neurosciences</subject><subject>Sex differences</subject><subject>Short term memory</subject><subject>Statistical analysis</subject><subject>Temporal cortex</subject><subject>Young adults</subject><issn>0097-0549</issn><issn>1573-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kMFLwzAUh4MoOKf_gKeA5-hL2iyNtzHmFAQPKngLafsyOttmJh26_97MCt48vcv3fTx-hFxyuOYA6iZyDlIyEBkDngMwOCITLlXGCq3fjskEQCsGMten5CzGDSRJFTAh-IxfLGBrB6xp3TiHAfsKI216-unDe9OvaYedD3vqfKA-NNgPdmh8H2_pvLftPjaRepfcOISm3B06y-WKRr8Lh07na2zPyYmzbcSL3zslr3fLl8U9e3xaPSzmj6zihQSGFVaOayFmCiyvRcmlqGYgylzrqha1ROsK53IpbWlB5SpToCXqos5BOjvLpuRq7G6D_9hhHMwmvZG-jEYUucwSpotEiZGqgo8xoDPb0HQ27A0Hc5jTjHOaNKf5mdNAkrJRignu1xj-0v9Y3-HXeNg</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Mayorova, L. 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A.</au><au>Mikhailova, E. S.</au><au>Saltykov, K. A.</au><au>Gerasimenko, N. Yu</au><au>Kushnir, A. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sex-related differences in working memory for orientations: Analysis of distributed EEG sources model</atitle><jtitle>Neuroscience and behavioral physiology</jtitle><stitle>Neurosci Behav Physi</stitle><date>2023-05-01</date><risdate>2023</risdate><volume>53</volume><issue>4</issue><spage>661</spage><epage>669</epage><pages>661-669</pages><issn>0097-0549</issn><eissn>1573-899X</eissn><abstract>A group of 31 healthy young adults (16 males and 15 females) performed two working memory tasks (WM): they were asked to 1) compare the orientations of sequentially presented sample and test gratings and 2) determine the direction of rotation of the test grating relative to the sample one. 128-channel EEG was registered. A multivariate analysis of distributed dipole activity was performed for the stage of comparison (in the interval of 50-350 ms after the test stimulus onset). Statistically significant sex related differences were revealed in the topography of cortical activity related to the comparison of the sample and test gratings. The differences were observed bilaterally in the occipital, parietal and temporal regions and, to a lesser extent, in the frontal cortex. The “males > females” contrasts were significant for the dipole activity of the posterior areas (occipital, parietal and temporal), while the "females > males" contrasts were significant in the structures of the frontal cortex. The obtained data confirm that neural networks involved in working memory for orientations differ between males and females. Specifically, males demonstrate a greater involvement of the posterior cortical areas, while in females the frontal cortex is more involved.
Highlights
Neural networks involved in orientation working memory differ between males and females.
When performing orientation working memory, males demonstrate a greater activation of the caudal cortical areas, while in females the frontal cortex is more involved.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11055-023-01400-0</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5112-7878</orcidid></addata></record> |
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| subjects | Behavioral Sciences Biomedical and Life Sciences Biomedicine Brain architecture Cortex (frontal) EEG Females Males Multivariate analysis Neural networks Neurobiology Neurosciences Sex differences Short term memory Statistical analysis Temporal cortex Young adults |
| title | Sex-related differences in working memory for orientations: Analysis of distributed EEG sources model |
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