Distinct age-related brain activity patterns in the prefrontal cortex when increasing cognitive load: A functional near-infrared spectroscopy study

Researchers have long observed distinct brain activity patterns in older adults compared with younger adults that correlate with cognitive performance. Mainly, older adults tend to show over-recruitment of bilateral brain regions during lower task loads and improved performance interpreted as compen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2023-12, Vol.18 (12), p.e0293394-e0293394
Hauptverfasser: Ranchod, Supreeta, Rakobowchuk, Mark, Gonzalez, Claudia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0293394
container_issue 12
container_start_page e0293394
container_title PloS one
container_volume 18
creator Ranchod, Supreeta
Rakobowchuk, Mark
Gonzalez, Claudia
description Researchers have long observed distinct brain activity patterns in older adults compared with younger adults that correlate with cognitive performance. Mainly, older adults tend to show over-recruitment of bilateral brain regions during lower task loads and improved performance interpreted as compensation, but not observed at higher loads. However, there are discrepancies about whether increases in activity are compensatory and whether older adults can show compensation at higher loads. Our aim was to examine age-related differences in prefrontal cortex (PFC) activity and cognitive performance using functional near-infrared spectroscopy (fNIRS) during single and dual N-back tasks. Twenty-seven young adults (18-27 years) and 31 older adults (64-84 yrs) took part in the study. We used a robust fNIRS data methodology consisting of channel and region of interest analyses. Results showed differences in performance between task load conditions and age-related differences in reaction times but no age-group effects for accuracy. Older adults exhibited more bilateral PFC activation compared with young adults across all tasks and showed increases in brain activity in high compared to low load conditions. Our findings further support previous reports showing that older adults use compensatory recruitment of additional brain regions in PFC to maintain cognitive performance but go against the notion that such compensation is not present at higher cognitive loads. Additionally, our results indicate that fNIRS is a sensitive tool that can characterize adaptive cortical changes in healthy aging.
doi_str_mv 10.1371/journal.pone.0293394
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3072930177</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A776231981</galeid><doaj_id>oai_doaj_org_article_7ab5321d189545b090dde8911c375e91</doaj_id><sourcerecordid>A776231981</sourcerecordid><originalsourceid>FETCH-LOGICAL-c642t-1bf4d42dfa4a19c1bc72a005ea28d1d93c1b6d96536f809be4f894bb70430e603</originalsourceid><addsrcrecordid>eNqNU9tu1DAQjRCIlsIfILCEhOBhFzvOlRdUlVslpErcXq2JPcm6ytrBdgr7Hfwws3RbdVEfUB4SHZ85JzM-k2WPBV8KWYtX534ODsbl5B0ued5K2RZ3skPRynxR5VzevfF9kD2I8ZzzUjZVdT87kA1vhZTlYfb7rY3JOp0YDLgIOEJCw7oA1jHQyV7YtGETpITBRUZgWiGbAvbBuwQj0z4k_MV-rtDRqQ4I0bqB4MFZqkY2ejCv2THrZzKxnv6YOYSwsK4PEMgrTqhT8FH7acNims3mYXavhzHio937KPv2_t3Xk4-LT2cfTk-OPy10VeRpIbq-MEVueihAtFp0us6BekTIGyNMKwmqTFuVsuqp3w6LvmmLrqt5ITlWXB5lTy91p9FHtZtnVJLXNE0u6poYp5cM4-FcTcGuIWyUB6v-Aj4MCkKyekRVQ1fKXBjRtGVRdrzlxmDTCqFlXSJN-yh7s3ObuzUajS4FGPdE90-cXanBXyjBa9EUeUMKL3YKwf-YMSa1tlHjOIJDP0eVtxQDMi-3Zs_-od7e3o41AHVAN-LJWG9F1XFdV7kUbbPVWt7Cosfg2mpKX28J3yt4uVdAHMpIGmCOUZ1--fz_3LPv-9znN7grhDGtoh_nbaziPrG4JGrKVaSwXk9ZcLVdnqtpqO3yqN3yUNmTmzd0XXS1LfIPVMQW_A</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3072930177</pqid></control><display><type>article</type><title>Distinct age-related brain activity patterns in the prefrontal cortex when increasing cognitive load: A functional near-infrared spectroscopy study</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Ranchod, Supreeta ; Rakobowchuk, Mark ; Gonzalez, Claudia</creator><contributor>Naseer, Noman</contributor><creatorcontrib>Ranchod, Supreeta ; Rakobowchuk, Mark ; Gonzalez, Claudia ; Naseer, Noman</creatorcontrib><description>Researchers have long observed distinct brain activity patterns in older adults compared with younger adults that correlate with cognitive performance. Mainly, older adults tend to show over-recruitment of bilateral brain regions during lower task loads and improved performance interpreted as compensation, but not observed at higher loads. However, there are discrepancies about whether increases in activity are compensatory and whether older adults can show compensation at higher loads. Our aim was to examine age-related differences in prefrontal cortex (PFC) activity and cognitive performance using functional near-infrared spectroscopy (fNIRS) during single and dual N-back tasks. Twenty-seven young adults (18-27 years) and 31 older adults (64-84 yrs) took part in the study. We used a robust fNIRS data methodology consisting of channel and region of interest analyses. Results showed differences in performance between task load conditions and age-related differences in reaction times but no age-group effects for accuracy. Older adults exhibited more bilateral PFC activation compared with young adults across all tasks and showed increases in brain activity in high compared to low load conditions. Our findings further support previous reports showing that older adults use compensatory recruitment of additional brain regions in PFC to maintain cognitive performance but go against the notion that such compensation is not present at higher cognitive loads. Additionally, our results indicate that fNIRS is a sensitive tool that can characterize adaptive cortical changes in healthy aging.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0293394</identifier><identifier>PMID: 38091335</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Activity patterns ; Adults ; Age ; Aged ; Aging ; Analysis ; Biology and Life Sciences ; Brain ; Brain research ; Care and treatment ; Cognition disorders ; Cognitive ability ; Cognitive load ; Cognitive tasks ; Compensation ; Diagnosis ; Group effects ; Infrared spectra ; Infrared spectroscopy ; Medical imaging ; Medicine and Health Sciences ; Memory ; Near infrared radiation ; Near infrared spectroscopy ; Neuroimaging ; Older people ; People and Places ; Prefrontal cortex ; Research and Analysis Methods ; Spectrum analysis ; Taskload ; Young adults</subject><ispartof>PloS one, 2023-12, Vol.18 (12), p.e0293394-e0293394</ispartof><rights>Copyright: © 2023 Ranchod et al. 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.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Ranchod et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Ranchod et al 2023 Ranchod et al</rights><rights>2023 Ranchod et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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><cites>FETCH-LOGICAL-c642t-1bf4d42dfa4a19c1bc72a005ea28d1d93c1b6d96536f809be4f894bb70430e603</cites><orcidid>0009-0008-8782-3873</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/PMC10718428/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10718428/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23865,27923,27924,53790,53792,79371,79372</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38091335$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Naseer, Noman</contributor><creatorcontrib>Ranchod, Supreeta</creatorcontrib><creatorcontrib>Rakobowchuk, Mark</creatorcontrib><creatorcontrib>Gonzalez, Claudia</creatorcontrib><title>Distinct age-related brain activity patterns in the prefrontal cortex when increasing cognitive load: A functional near-infrared spectroscopy study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Researchers have long observed distinct brain activity patterns in older adults compared with younger adults that correlate with cognitive performance. Mainly, older adults tend to show over-recruitment of bilateral brain regions during lower task loads and improved performance interpreted as compensation, but not observed at higher loads. However, there are discrepancies about whether increases in activity are compensatory and whether older adults can show compensation at higher loads. Our aim was to examine age-related differences in prefrontal cortex (PFC) activity and cognitive performance using functional near-infrared spectroscopy (fNIRS) during single and dual N-back tasks. Twenty-seven young adults (18-27 years) and 31 older adults (64-84 yrs) took part in the study. We used a robust fNIRS data methodology consisting of channel and region of interest analyses. Results showed differences in performance between task load conditions and age-related differences in reaction times but no age-group effects for accuracy. Older adults exhibited more bilateral PFC activation compared with young adults across all tasks and showed increases in brain activity in high compared to low load conditions. Our findings further support previous reports showing that older adults use compensatory recruitment of additional brain regions in PFC to maintain cognitive performance but go against the notion that such compensation is not present at higher cognitive loads. Additionally, our results indicate that fNIRS is a sensitive tool that can characterize adaptive cortical changes in healthy aging.</description><subject>Activity patterns</subject><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Aging</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Brain research</subject><subject>Care and treatment</subject><subject>Cognition disorders</subject><subject>Cognitive ability</subject><subject>Cognitive load</subject><subject>Cognitive tasks</subject><subject>Compensation</subject><subject>Diagnosis</subject><subject>Group effects</subject><subject>Infrared spectra</subject><subject>Infrared spectroscopy</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Memory</subject><subject>Near infrared radiation</subject><subject>Near infrared spectroscopy</subject><subject>Neuroimaging</subject><subject>Older people</subject><subject>People and Places</subject><subject>Prefrontal cortex</subject><subject>Research and Analysis Methods</subject><subject>Spectrum analysis</subject><subject>Taskload</subject><subject>Young adults</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><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>eNqNU9tu1DAQjRCIlsIfILCEhOBhFzvOlRdUlVslpErcXq2JPcm6ytrBdgr7Hfwws3RbdVEfUB4SHZ85JzM-k2WPBV8KWYtX534ODsbl5B0ued5K2RZ3skPRynxR5VzevfF9kD2I8ZzzUjZVdT87kA1vhZTlYfb7rY3JOp0YDLgIOEJCw7oA1jHQyV7YtGETpITBRUZgWiGbAvbBuwQj0z4k_MV-rtDRqQ4I0bqB4MFZqkY2ejCv2THrZzKxnv6YOYSwsK4PEMgrTqhT8FH7acNims3mYXavhzHio937KPv2_t3Xk4-LT2cfTk-OPy10VeRpIbq-MEVueihAtFp0us6BekTIGyNMKwmqTFuVsuqp3w6LvmmLrqt5ITlWXB5lTy91p9FHtZtnVJLXNE0u6poYp5cM4-FcTcGuIWyUB6v-Aj4MCkKyekRVQ1fKXBjRtGVRdrzlxmDTCqFlXSJN-yh7s3ObuzUajS4FGPdE90-cXanBXyjBa9EUeUMKL3YKwf-YMSa1tlHjOIJDP0eVtxQDMi-3Zs_-od7e3o41AHVAN-LJWG9F1XFdV7kUbbPVWt7Cosfg2mpKX28J3yt4uVdAHMpIGmCOUZ1--fz_3LPv-9znN7grhDGtoh_nbaziPrG4JGrKVaSwXk9ZcLVdnqtpqO3yqN3yUNmTmzd0XXS1LfIPVMQW_A</recordid><startdate>20231213</startdate><enddate>20231213</enddate><creator>Ranchod, Supreeta</creator><creator>Rakobowchuk, Mark</creator><creator>Gonzalez, Claudia</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>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/0009-0008-8782-3873</orcidid></search><sort><creationdate>20231213</creationdate><title>Distinct age-related brain activity patterns in the prefrontal cortex when increasing cognitive load: A functional near-infrared spectroscopy study</title><author>Ranchod, Supreeta ; Rakobowchuk, Mark ; Gonzalez, Claudia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c642t-1bf4d42dfa4a19c1bc72a005ea28d1d93c1b6d96536f809be4f894bb70430e603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Activity patterns</topic><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Aging</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Brain research</topic><topic>Care and treatment</topic><topic>Cognition disorders</topic><topic>Cognitive ability</topic><topic>Cognitive load</topic><topic>Cognitive tasks</topic><topic>Compensation</topic><topic>Diagnosis</topic><topic>Group effects</topic><topic>Infrared spectra</topic><topic>Infrared spectroscopy</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Memory</topic><topic>Near infrared radiation</topic><topic>Near infrared spectroscopy</topic><topic>Neuroimaging</topic><topic>Older people</topic><topic>People and Places</topic><topic>Prefrontal cortex</topic><topic>Research and Analysis Methods</topic><topic>Spectrum analysis</topic><topic>Taskload</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ranchod, Supreeta</creatorcontrib><creatorcontrib>Rakobowchuk, Mark</creatorcontrib><creatorcontrib>Gonzalez, Claudia</creatorcontrib><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 &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; 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 &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; 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 &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; 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>Ranchod, Supreeta</au><au>Rakobowchuk, Mark</au><au>Gonzalez, Claudia</au><au>Naseer, Noman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distinct age-related brain activity patterns in the prefrontal cortex when increasing cognitive load: A functional near-infrared spectroscopy study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-12-13</date><risdate>2023</risdate><volume>18</volume><issue>12</issue><spage>e0293394</spage><epage>e0293394</epage><pages>e0293394-e0293394</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Researchers have long observed distinct brain activity patterns in older adults compared with younger adults that correlate with cognitive performance. Mainly, older adults tend to show over-recruitment of bilateral brain regions during lower task loads and improved performance interpreted as compensation, but not observed at higher loads. However, there are discrepancies about whether increases in activity are compensatory and whether older adults can show compensation at higher loads. Our aim was to examine age-related differences in prefrontal cortex (PFC) activity and cognitive performance using functional near-infrared spectroscopy (fNIRS) during single and dual N-back tasks. Twenty-seven young adults (18-27 years) and 31 older adults (64-84 yrs) took part in the study. We used a robust fNIRS data methodology consisting of channel and region of interest analyses. Results showed differences in performance between task load conditions and age-related differences in reaction times but no age-group effects for accuracy. Older adults exhibited more bilateral PFC activation compared with young adults across all tasks and showed increases in brain activity in high compared to low load conditions. Our findings further support previous reports showing that older adults use compensatory recruitment of additional brain regions in PFC to maintain cognitive performance but go against the notion that such compensation is not present at higher cognitive loads. Additionally, our results indicate that fNIRS is a sensitive tool that can characterize adaptive cortical changes in healthy aging.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38091335</pmid><doi>10.1371/journal.pone.0293394</doi><tpages>e0293394</tpages><orcidid>https://orcid.org/0009-0008-8782-3873</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2023-12, Vol.18 (12), p.e0293394-e0293394
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_3072930177
source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry
subjects Activity patterns
Adults
Age
Aged
Aging
Analysis
Biology and Life Sciences
Brain
Brain research
Care and treatment
Cognition disorders
Cognitive ability
Cognitive load
Cognitive tasks
Compensation
Diagnosis
Group effects
Infrared spectra
Infrared spectroscopy
Medical imaging
Medicine and Health Sciences
Memory
Near infrared radiation
Near infrared spectroscopy
Neuroimaging
Older people
People and Places
Prefrontal cortex
Research and Analysis Methods
Spectrum analysis
Taskload
Young adults
title Distinct age-related brain activity patterns in the prefrontal cortex when increasing cognitive load: A functional near-infrared spectroscopy study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T22%3A27%3A00IST&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=Distinct%20age-related%20brain%20activity%20patterns%20in%20the%20prefrontal%20cortex%20when%20increasing%20cognitive%20load:%20A%20functional%20near-infrared%20spectroscopy%20study&rft.jtitle=PloS%20one&rft.au=Ranchod,%20Supreeta&rft.date=2023-12-13&rft.volume=18&rft.issue=12&rft.spage=e0293394&rft.epage=e0293394&rft.pages=e0293394-e0293394&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0293394&rft_dat=%3Cgale_plos_%3EA776231981%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=3072930177&rft_id=info:pmid/38091335&rft_galeid=A776231981&rft_doaj_id=oai_doaj_org_article_7ab5321d189545b090dde8911c375e91&rfr_iscdi=true