Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning
We aimed to replicate a published effect of transcranial direct-current stimulation (tDCS)-induced recognition enhancement over the human ventrolateral prefrontal cortex (VLPFC) and analyse the data with machine learning. We investigated effects over an adjacent region, the dorsolateral prefrontal c...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-12, Vol.15 (12), p.e0235179-e0235179 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0235179 |
|---|---|
| container_issue | 12 |
| container_start_page | e0235179 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Petrovskaya, Aleksandra Kirillov, Bogdan Asmolova, Anastasiya Galli, Giulia Feurra, Matteo Medvedeva, Angela |
| description | We aimed to replicate a published effect of transcranial direct-current stimulation (tDCS)-induced recognition enhancement over the human ventrolateral prefrontal cortex (VLPFC) and analyse the data with machine learning. We investigated effects over an adjacent region, the dorsolateral prefrontal cortex (DLPFC). In total, we analyzed data from 97 participants after exclusions. We found weak or absent effects over the VLPFC and DLPFC. We conducted machine learning studies to examine the effects of semantic and phonetic features on memorization, which revealed no effect of VLPFC tDCS on the original dataset or the current data. The highest contributing factor to memory performance was individual differences in memory not explained by word features, tDCS group, or sample size, while semantic, phonetic, and orthographic word characteristics did not contribute significantly. To our knowledge, this is the first tDCS study to investigate cognitive effects with machine learning, and future studies may benefit from studying physiological as well as cognitive effects with data-driven approaches and computational models. |
| doi_str_mv | 10.1371/journal.pone.0235179 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2468642972</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A644395124</galeid><doaj_id>oai_doaj_org_article_5d12c44adc0340d8a2a4d23969bc4b42</doaj_id><sourcerecordid>A644395124</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-29103bb0fe08b08f14df4d255e052a5833366a6040750b398a519d32ef26febb3</originalsourceid><addsrcrecordid>eNqNk99r3SAUx8PYWLtu_8HYhMHYHu6dUWPiy6CUbrtQKOzXqxijNxajd2q29r-f6U3LzejDUFSOn_M9evQUxcsSrktclx-u_BicsOudd2oNEa7Kmj0qjkuG0YoiiB8frI-KZzFeQVjhhtKnxRHGiFFM8XHhz6_FYJxxW5B6BZTWSqYIvAYpCBdlHoywoDMh24EcQ1AugZjMMFqRjHcg934chANqZ6LvjASDGny4AX9M6sEgZG-cAlaJMEV5XjzRwkb1Yp5Pih-fzr-ffVldXH7enJ1erCRlKK0QKyFuW6gVbFrY6JJ0mnSoqhSskKgajDGlgkIC6wq2mDWiKlmHkdKIatW2-KR4vdfdWR_5nKvIEaENJYjVKBObPdF5ccV3wQwi3HAvDL81-LDlIiQjreJVVyJJiOgkxAR2jUAiHwYzylpJWjJpfZyjje2gOplzFIRdiC53nOn51v_mdY2q_A5Z4N0sEPyvUcXEBxOlslY45cfbczNY06qe0Df_oA_fbqa2Il_AOO1zXDmJ8lNKCGZViUim1g9QuXVqMDJ_LG2yfeHwfuGQmaSu01aMMfLNt6__z17-XLJvD9heCZv66O04_bC4BMkelMHHGJS-T3IJ-VQXd9ngU13wuS6y26vDB7p3uisE_Be0yAjN</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2468642972</pqid></control><display><type>article</type><title>Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Petrovskaya, Aleksandra ; Kirillov, Bogdan ; Asmolova, Anastasiya ; Galli, Giulia ; Feurra, Matteo ; Medvedeva, Angela</creator><contributor>Ginsberg, Stephen D.</contributor><creatorcontrib>Petrovskaya, Aleksandra ; Kirillov, Bogdan ; Asmolova, Anastasiya ; Galli, Giulia ; Feurra, Matteo ; Medvedeva, Angela ; Ginsberg, Stephen D.</creatorcontrib><description>We aimed to replicate a published effect of transcranial direct-current stimulation (tDCS)-induced recognition enhancement over the human ventrolateral prefrontal cortex (VLPFC) and analyse the data with machine learning. We investigated effects over an adjacent region, the dorsolateral prefrontal cortex (DLPFC). In total, we analyzed data from 97 participants after exclusions. We found weak or absent effects over the VLPFC and DLPFC. We conducted machine learning studies to examine the effects of semantic and phonetic features on memorization, which revealed no effect of VLPFC tDCS on the original dataset or the current data. The highest contributing factor to memory performance was individual differences in memory not explained by word features, tDCS group, or sample size, while semantic, phonetic, and orthographic word characteristics did not contribute significantly. To our knowledge, this is the first tDCS study to investigate cognitive effects with machine learning, and future studies may benefit from studying physiological as well as cognitive effects with data-driven approaches and computational models.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0235179</identifier><identifier>PMID: 33296363</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Adolescent ; Adult ; Analysis ; Anatomical systems ; Articulatory phonetics ; Authorship ; Biology and Life Sciences ; Brain - physiology ; Brain stimulation ; Cognition - physiology ; Cognitive ability ; Computer and Information Sciences ; Computer applications ; Computer modeling and simulation ; Data analysis ; Direct current ; Electrical stimulation of the brain ; Episodic memory ; ESB ; Experiments ; Female ; Humans ; Individual differences ; Learning algorithms ; Machine Learning ; Male ; Mathematical models ; Medicine and Health Sciences ; Memory ; Memory - physiology ; Memory, Episodic ; Memory, Short-Term - physiology ; Neuropsychological Tests ; Neurosciences ; Orthography ; Patient outcomes ; Phonetic features ; Phonetics ; Physiological effects ; Prefrontal cortex ; Prefrontal Cortex - physiology ; Recognition, Psychology - physiology ; Research and Analysis Methods ; Semantic features ; Semantics ; Social Sciences ; Stimulation ; Transcranial direct current stimulation ; Transcranial Direct Current Stimulation - methods ; Words (language) ; Young Adult</subject><ispartof>PloS one, 2020-12, Vol.15 (12), p.e0235179-e0235179</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-29103bb0fe08b08f14df4d255e052a5833366a6040750b398a519d32ef26febb3</citedby><cites>FETCH-LOGICAL-c692t-29103bb0fe08b08f14df4d255e052a5833366a6040750b398a519d32ef26febb3</cites><orcidid>0000-0002-7104-8613</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725363/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725363/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33296363$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ginsberg, Stephen D.</contributor><creatorcontrib>Petrovskaya, Aleksandra</creatorcontrib><creatorcontrib>Kirillov, Bogdan</creatorcontrib><creatorcontrib>Asmolova, Anastasiya</creatorcontrib><creatorcontrib>Galli, Giulia</creatorcontrib><creatorcontrib>Feurra, Matteo</creatorcontrib><creatorcontrib>Medvedeva, Angela</creatorcontrib><title>Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We aimed to replicate a published effect of transcranial direct-current stimulation (tDCS)-induced recognition enhancement over the human ventrolateral prefrontal cortex (VLPFC) and analyse the data with machine learning. We investigated effects over an adjacent region, the dorsolateral prefrontal cortex (DLPFC). In total, we analyzed data from 97 participants after exclusions. We found weak or absent effects over the VLPFC and DLPFC. We conducted machine learning studies to examine the effects of semantic and phonetic features on memorization, which revealed no effect of VLPFC tDCS on the original dataset or the current data. The highest contributing factor to memory performance was individual differences in memory not explained by word features, tDCS group, or sample size, while semantic, phonetic, and orthographic word characteristics did not contribute significantly. To our knowledge, this is the first tDCS study to investigate cognitive effects with machine learning, and future studies may benefit from studying physiological as well as cognitive effects with data-driven approaches and computational models.</description><subject>Accuracy</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Analysis</subject><subject>Anatomical systems</subject><subject>Articulatory phonetics</subject><subject>Authorship</subject><subject>Biology and Life Sciences</subject><subject>Brain - physiology</subject><subject>Brain stimulation</subject><subject>Cognition - physiology</subject><subject>Cognitive ability</subject><subject>Computer and Information Sciences</subject><subject>Computer applications</subject><subject>Computer modeling and simulation</subject><subject>Data analysis</subject><subject>Direct current</subject><subject>Electrical stimulation of the brain</subject><subject>Episodic memory</subject><subject>ESB</subject><subject>Experiments</subject><subject>Female</subject><subject>Humans</subject><subject>Individual differences</subject><subject>Learning algorithms</subject><subject>Machine Learning</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Memory</subject><subject>Memory - physiology</subject><subject>Memory, Episodic</subject><subject>Memory, Short-Term - physiology</subject><subject>Neuropsychological Tests</subject><subject>Neurosciences</subject><subject>Orthography</subject><subject>Patient outcomes</subject><subject>Phonetic features</subject><subject>Phonetics</subject><subject>Physiological effects</subject><subject>Prefrontal cortex</subject><subject>Prefrontal Cortex - physiology</subject><subject>Recognition, Psychology - physiology</subject><subject>Research and Analysis Methods</subject><subject>Semantic features</subject><subject>Semantics</subject><subject>Social Sciences</subject><subject>Stimulation</subject><subject>Transcranial direct current stimulation</subject><subject>Transcranial Direct Current Stimulation - methods</subject><subject>Words (language)</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99r3SAUx8PYWLtu_8HYhMHYHu6dUWPiy6CUbrtQKOzXqxijNxajd2q29r-f6U3LzejDUFSOn_M9evQUxcsSrktclx-u_BicsOudd2oNEa7Kmj0qjkuG0YoiiB8frI-KZzFeQVjhhtKnxRHGiFFM8XHhz6_FYJxxW5B6BZTWSqYIvAYpCBdlHoywoDMh24EcQ1AugZjMMFqRjHcg934chANqZ6LvjASDGny4AX9M6sEgZG-cAlaJMEV5XjzRwkb1Yp5Pih-fzr-ffVldXH7enJ1erCRlKK0QKyFuW6gVbFrY6JJ0mnSoqhSskKgajDGlgkIC6wq2mDWiKlmHkdKIatW2-KR4vdfdWR_5nKvIEaENJYjVKBObPdF5ccV3wQwi3HAvDL81-LDlIiQjreJVVyJJiOgkxAR2jUAiHwYzylpJWjJpfZyjje2gOplzFIRdiC53nOn51v_mdY2q_A5Z4N0sEPyvUcXEBxOlslY45cfbczNY06qe0Df_oA_fbqa2Il_AOO1zXDmJ8lNKCGZViUim1g9QuXVqMDJ_LG2yfeHwfuGQmaSu01aMMfLNt6__z17-XLJvD9heCZv66O04_bC4BMkelMHHGJS-T3IJ-VQXd9ngU13wuS6y26vDB7p3uisE_Be0yAjN</recordid><startdate>20201209</startdate><enddate>20201209</enddate><creator>Petrovskaya, Aleksandra</creator><creator>Kirillov, Bogdan</creator><creator>Asmolova, Anastasiya</creator><creator>Galli, Giulia</creator><creator>Feurra, Matteo</creator><creator>Medvedeva, Angela</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>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7T9</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</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>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7104-8613</orcidid></search><sort><creationdate>20201209</creationdate><title>Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning</title><author>Petrovskaya, Aleksandra ; Kirillov, Bogdan ; Asmolova, Anastasiya ; Galli, Giulia ; Feurra, Matteo ; Medvedeva, Angela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-29103bb0fe08b08f14df4d255e052a5833366a6040750b398a519d32ef26febb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Analysis</topic><topic>Anatomical systems</topic><topic>Articulatory phonetics</topic><topic>Authorship</topic><topic>Biology and Life Sciences</topic><topic>Brain - physiology</topic><topic>Brain stimulation</topic><topic>Cognition - physiology</topic><topic>Cognitive ability</topic><topic>Computer and Information Sciences</topic><topic>Computer applications</topic><topic>Computer modeling and simulation</topic><topic>Data analysis</topic><topic>Direct current</topic><topic>Electrical stimulation of the brain</topic><topic>Episodic memory</topic><topic>ESB</topic><topic>Experiments</topic><topic>Female</topic><topic>Humans</topic><topic>Individual differences</topic><topic>Learning algorithms</topic><topic>Machine Learning</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Memory</topic><topic>Memory - physiology</topic><topic>Memory, Episodic</topic><topic>Memory, Short-Term - physiology</topic><topic>Neuropsychological Tests</topic><topic>Neurosciences</topic><topic>Orthography</topic><topic>Patient outcomes</topic><topic>Phonetic features</topic><topic>Phonetics</topic><topic>Physiological effects</topic><topic>Prefrontal cortex</topic><topic>Prefrontal Cortex - physiology</topic><topic>Recognition, Psychology - physiology</topic><topic>Research and Analysis Methods</topic><topic>Semantic features</topic><topic>Semantics</topic><topic>Social Sciences</topic><topic>Stimulation</topic><topic>Transcranial direct current stimulation</topic><topic>Transcranial Direct Current Stimulation - methods</topic><topic>Words (language)</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Petrovskaya, Aleksandra</creatorcontrib><creatorcontrib>Kirillov, Bogdan</creatorcontrib><creatorcontrib>Asmolova, Anastasiya</creatorcontrib><creatorcontrib>Galli, Giulia</creatorcontrib><creatorcontrib>Feurra, Matteo</creatorcontrib><creatorcontrib>Medvedeva, Angela</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Linguistics and Language Behavior Abstracts (LLBA)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science 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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Petrovskaya, Aleksandra</au><au>Kirillov, Bogdan</au><au>Asmolova, Anastasiya</au><au>Galli, Giulia</au><au>Feurra, Matteo</au><au>Medvedeva, Angela</au><au>Ginsberg, Stephen D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-12-09</date><risdate>2020</risdate><volume>15</volume><issue>12</issue><spage>e0235179</spage><epage>e0235179</epage><pages>e0235179-e0235179</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We aimed to replicate a published effect of transcranial direct-current stimulation (tDCS)-induced recognition enhancement over the human ventrolateral prefrontal cortex (VLPFC) and analyse the data with machine learning. We investigated effects over an adjacent region, the dorsolateral prefrontal cortex (DLPFC). In total, we analyzed data from 97 participants after exclusions. We found weak or absent effects over the VLPFC and DLPFC. We conducted machine learning studies to examine the effects of semantic and phonetic features on memorization, which revealed no effect of VLPFC tDCS on the original dataset or the current data. The highest contributing factor to memory performance was individual differences in memory not explained by word features, tDCS group, or sample size, while semantic, phonetic, and orthographic word characteristics did not contribute significantly. To our knowledge, this is the first tDCS study to investigate cognitive effects with machine learning, and future studies may benefit from studying physiological as well as cognitive effects with data-driven approaches and computational models.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33296363</pmid><doi>10.1371/journal.pone.0235179</doi><tpages>e0235179</tpages><orcidid>https://orcid.org/0000-0002-7104-8613</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-12, Vol.15 (12), p.e0235179-e0235179 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2468642972 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Accuracy Adolescent Adult Analysis Anatomical systems Articulatory phonetics Authorship Biology and Life Sciences Brain - physiology Brain stimulation Cognition - physiology Cognitive ability Computer and Information Sciences Computer applications Computer modeling and simulation Data analysis Direct current Electrical stimulation of the brain Episodic memory ESB Experiments Female Humans Individual differences Learning algorithms Machine Learning Male Mathematical models Medicine and Health Sciences Memory Memory - physiology Memory, Episodic Memory, Short-Term - physiology Neuropsychological Tests Neurosciences Orthography Patient outcomes Phonetic features Phonetics Physiological effects Prefrontal cortex Prefrontal Cortex - physiology Recognition, Psychology - physiology Research and Analysis Methods Semantic features Semantics Social Sciences Stimulation Transcranial direct current stimulation Transcranial Direct Current Stimulation - methods Words (language) Young Adult |
| title | Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T13%3A09%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Examining%20the%20effects%20of%20transcranial%20direct%20current%20stimulation%20on%20human%20episodic%20memory%20with%20machine%20learning&rft.jtitle=PloS%20one&rft.au=Petrovskaya,%20Aleksandra&rft.date=2020-12-09&rft.volume=15&rft.issue=12&rft.spage=e0235179&rft.epage=e0235179&rft.pages=e0235179-e0235179&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0235179&rft_dat=%3Cgale_plos_%3EA644395124%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2468642972&rft_id=info:pmid/33296363&rft_galeid=A644395124&rft_doaj_id=oai_doaj_org_article_5d12c44adc0340d8a2a4d23969bc4b42&rfr_iscdi=true |