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Alterations in Neural Networks During Working Memory Encoding Related to Cognitive Impairment in Temporal Lobe Epilepsy
The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy (TLE) during working memory (WM) encoding. Patients with TLE ( = 52) and healthy volunteers ( = 35) completed a WM task, during which 34-channel electroencephalogram signals...
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Published in: | Frontiers in human neuroscience 2022-01, Vol.15, p.770678-770678 |
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container_title | Frontiers in human neuroscience |
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creator | Pan, Liping Wu, Yakun Bao, Jie Guo, Dandan Zhang, Xin Wang, Jiajing Deng, Meili Yu, Peiran Wei, Gaoxu Zhang, Lulin Qin, Xiao Song, Yijun |
description | The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy (TLE) during working memory (WM) encoding.
Patients with TLE (
= 52) and healthy volunteers (
= 35) completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with (TLE-WM) and without (TLE-N) WM deficits.
Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were observed between the TLE-N and TLE-WM groups.
Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.
The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE. |
doi_str_mv | 10.3389/fnhum.2021.770678 |
format | article |
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Patients with TLE (
= 52) and healthy volunteers (
= 35) completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with (TLE-WM) and without (TLE-N) WM deficits.
Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were observed between the TLE-N and TLE-WM groups.
Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.
The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE.</description><identifier>ISSN: 1662-5161</identifier><identifier>EISSN: 1662-5161</identifier><identifier>DOI: 10.3389/fnhum.2021.770678</identifier><identifier>PMID: 35069151</identifier><language>eng</language><publisher>Switzerland: Frontiers Research Foundation</publisher><subject>Brain ; Cognition & reasoning ; Cognitive ability ; EEG ; Electroencephalography ; encoding ; Epilepsy ; Human Neuroscience ; Memory ; neural network ; Neural networks ; Patients ; Short term memory ; Temporal lobe ; temporal lobe epilepsy ; theta ; working memory</subject><ispartof>Frontiers in human neuroscience, 2022-01, Vol.15, p.770678-770678</ispartof><rights>Copyright © 2022 Pan, Wu, Bao, Guo, Zhang, Wang, Deng, Yu, Wei, Zhang, Qin and Song.</rights><rights>2022. 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 © 2022 Pan, Wu, Bao, Guo, Zhang, Wang, Deng, Yu, Wei, Zhang, Qin and Song. 2022 Pan, Wu, Bao, Guo, Zhang, Wang, Deng, Yu, Wei, Zhang, Qin and Song</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-6de20b77f62d410dce5202436c452012d6708c38f448a1163368bc14cbdef3093</citedby><cites>FETCH-LOGICAL-c493t-6de20b77f62d410dce5202436c452012d6708c38f448a1163368bc14cbdef3093</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/PMC8766724/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766724/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35069151$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pan, Liping</creatorcontrib><creatorcontrib>Wu, Yakun</creatorcontrib><creatorcontrib>Bao, Jie</creatorcontrib><creatorcontrib>Guo, Dandan</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Wang, Jiajing</creatorcontrib><creatorcontrib>Deng, Meili</creatorcontrib><creatorcontrib>Yu, Peiran</creatorcontrib><creatorcontrib>Wei, Gaoxu</creatorcontrib><creatorcontrib>Zhang, Lulin</creatorcontrib><creatorcontrib>Qin, Xiao</creatorcontrib><creatorcontrib>Song, Yijun</creatorcontrib><title>Alterations in Neural Networks During Working Memory Encoding Related to Cognitive Impairment in Temporal Lobe Epilepsy</title><title>Frontiers in human neuroscience</title><addtitle>Front Hum Neurosci</addtitle><description>The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy (TLE) during working memory (WM) encoding.
Patients with TLE (
= 52) and healthy volunteers (
= 35) completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with (TLE-WM) and without (TLE-N) WM deficits.
Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were observed between the TLE-N and TLE-WM groups.
Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.
The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE.</description><subject>Brain</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>encoding</subject><subject>Epilepsy</subject><subject>Human Neuroscience</subject><subject>Memory</subject><subject>neural network</subject><subject>Neural networks</subject><subject>Patients</subject><subject>Short term memory</subject><subject>Temporal lobe</subject><subject>temporal lobe epilepsy</subject><subject>theta</subject><subject>working memory</subject><issn>1662-5161</issn><issn>1662-5161</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1v1DAQhiMEomXhB3BBkbhw2cUfie1ckKplgZUWkFARR8txxlsviR1sp9X-e5xuqVpO8-F3Hs1Yb1G8xmhFqWjeG3c1DSuCCF5xjhgXT4pzzBhZ1pjhpw_ys-JFjAeEGGE1fl6c0RqxBtf4vLi56BMElax3sbSu_AZTUH0O6caH37H8OAXr9uWvXMzxKww-HMuN076b6x_QqwRdmXy59ntnk72GcjuMyoYBXJqJlzCMfmbufAvlZrQ9jPH4snhmVB_h1V1cFD8_bS7XX5a775-364vdUlcNTUvWAUEt54aRrsKo01DncyvKdJUTTDrGkdBUmKoSCmNGKROtxpVuOzAUNXRRbE_czquDHIMdVDhKr6y8bfiwlyokq3uQVLSGsAYMVqpCAI2guQaCkRbGiC6zPpxY49QOkHdxKd_1CPr4xdkruffXUnDGeN56Uby7AwT_Z4KY5GCjhr5XDvwUJWGEVJxiIrL07X_Sg5-Cy1-VVZhxXlOKsgqfVDr4GAOY-2UwkrNF5K1F5GwRebJInnnz8Ir7iX-eoH8B0Om5ow</recordid><startdate>20220105</startdate><enddate>20220105</enddate><creator>Pan, Liping</creator><creator>Wu, Yakun</creator><creator>Bao, Jie</creator><creator>Guo, Dandan</creator><creator>Zhang, Xin</creator><creator>Wang, Jiajing</creator><creator>Deng, Meili</creator><creator>Yu, Peiran</creator><creator>Wei, Gaoxu</creator><creator>Zhang, Lulin</creator><creator>Qin, Xiao</creator><creator>Song, Yijun</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>PIMPY</scope><scope>PQEST</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>20220105</creationdate><title>Alterations in Neural Networks During Working Memory Encoding Related to Cognitive Impairment in Temporal Lobe Epilepsy</title><author>Pan, Liping ; Wu, Yakun ; Bao, Jie ; Guo, Dandan ; Zhang, Xin ; Wang, Jiajing ; Deng, Meili ; Yu, Peiran ; Wei, Gaoxu ; Zhang, Lulin ; Qin, Xiao ; Song, Yijun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-6de20b77f62d410dce5202436c452012d6708c38f448a1163368bc14cbdef3093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brain</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>encoding</topic><topic>Epilepsy</topic><topic>Human Neuroscience</topic><topic>Memory</topic><topic>neural network</topic><topic>Neural networks</topic><topic>Patients</topic><topic>Short term memory</topic><topic>Temporal lobe</topic><topic>temporal lobe epilepsy</topic><topic>theta</topic><topic>working memory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pan, Liping</creatorcontrib><creatorcontrib>Wu, Yakun</creatorcontrib><creatorcontrib>Bao, Jie</creatorcontrib><creatorcontrib>Guo, Dandan</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Wang, Jiajing</creatorcontrib><creatorcontrib>Deng, Meili</creatorcontrib><creatorcontrib>Yu, Peiran</creatorcontrib><creatorcontrib>Wei, Gaoxu</creatorcontrib><creatorcontrib>Zhang, Lulin</creatorcontrib><creatorcontrib>Qin, Xiao</creatorcontrib><creatorcontrib>Song, Yijun</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</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>ProQuest Biological Science Collection</collection><collection>Science Database (ProQuest)</collection><collection>ProQuest Biological Science Journals</collection><collection>Publicly Available Content Database</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 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 human neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pan, Liping</au><au>Wu, Yakun</au><au>Bao, Jie</au><au>Guo, Dandan</au><au>Zhang, Xin</au><au>Wang, Jiajing</au><au>Deng, Meili</au><au>Yu, Peiran</au><au>Wei, Gaoxu</au><au>Zhang, Lulin</au><au>Qin, Xiao</au><au>Song, Yijun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Alterations in Neural Networks During Working Memory Encoding Related to Cognitive Impairment in Temporal Lobe Epilepsy</atitle><jtitle>Frontiers in human neuroscience</jtitle><addtitle>Front Hum Neurosci</addtitle><date>2022-01-05</date><risdate>2022</risdate><volume>15</volume><spage>770678</spage><epage>770678</epage><pages>770678-770678</pages><issn>1662-5161</issn><eissn>1662-5161</eissn><abstract>The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy (TLE) during working memory (WM) encoding.
Patients with TLE (
= 52) and healthy volunteers (
= 35) completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with (TLE-WM) and without (TLE-N) WM deficits.
Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were observed between the TLE-N and TLE-WM groups.
Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.
The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE.</abstract><cop>Switzerland</cop><pub>Frontiers Research Foundation</pub><pmid>35069151</pmid><doi>10.3389/fnhum.2021.770678</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Brain Cognition & reasoning Cognitive ability EEG Electroencephalography encoding Epilepsy Human Neuroscience Memory neural network Neural networks Patients Short term memory Temporal lobe temporal lobe epilepsy theta working memory |
title | Alterations in Neural Networks During Working Memory Encoding Related to Cognitive Impairment in Temporal Lobe Epilepsy |
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