4386 Age-related Changes in the Functional Connectivity within the Default Mode Network
OBJECTIVES/GOALS: To evaluate whether the default mode network experiences age-related changes in functional connectivity and to identify these patterns of progression across seven decades of life. The overall goal is to evaluate whether quantifying these functional changes can serve as potential ne...
Uložené v:
| Vydané v: | Journal of clinical and translational science Ročník 4; číslo s1; s. 44 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Cambridge
Cambridge University Press
01.06.2020
|
| Predmet: | |
| ISSN: | 2059-8661, 2059-8661 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | OBJECTIVES/GOALS: To evaluate whether the default mode network experiences age-related changes in functional connectivity and to identify these patterns of progression across seven decades of life. The overall goal is to evaluate whether quantifying these functional changes can serve as potential neurobiomarkers of aging for further quantitative genetic analyses. METHODS/STUDY POPULATION: Scans were performed at the RII on a 3T Siemens Trio scanner with an 8-channel head coil. Whole-brain, rsfMR imaging was performed using a gradient-echo EPI sequence sensitive to the BOLD effect (TE/TR = 30/3000 ms; flip angle = 90°; isotropic 1.72 mm
2
). Subjects were instructed to lie in dimmed light with their eyes open and try not to fall asleep. Image analysis was performed with FMRIB’s Software Library tools (
www.fmrib.ox.ac.uk/fsl
). Preprocessing of resting state data includes motion correction, brain extraction, spatial smoothing, and high-pass temporal filtering. Time series data was extracted from 9 DMN ROIs using FSL’s Featquery tool with 6mm radius spherical ROI masks created in Mango. After extraction, DMN connectivity was assess using structural equation modeling implemented in Amos 22.0 (IBM, Inc.). RESULTS/ANTICIPATED RESULTS: The exploratory SEM (eSEM) default mode network (DMN) model used consists of 9 regions of interest and 13 functional connectivity paths. The eSEM DMN model exhibited exceptional model fit to a primary resting state data set of 1169 subjects from the Genetics of Brain Structure project (1R01MH078111-01, David Glahn PI) with an RMSEA of 0.037. This model also had excellent model fit in 7 cohorts that were grouped by decade age (10s – RMSEA: 0.058, 20s – 0.051, 30s – 0.045, 40s – 0.048, 50s – 0.043, 60s – 0.035, 70s – 0.037). Analysis of the decade group-wise path coefficients identified 7 of the 13 paths (pC -> LMTG, pC -> PCC, PCC -> MPFG, PCC -> vACC, MPFG -> vACC, LIPL -> RIPL, LMTG -> RMTG) significantly negatively correlated with age-related changes. As early as the 1
st
decade of life, the functional connectivity within the DMN decreases. DISCUSSION/SIGNIFICANCE OF IMPACT: The DMN experiences progressive age-related decreases in connectivity, beginning in the first decade of life. Our results suggest that DMN path coefficients can serve as biomarkers of cognitive aging, which can then be used as quantitative traits for genetic analyses to identify genes associated with normal aging and age-related cognitive diseases. |
|---|---|
| AbstractList | OBJECTIVES/GOALS: To evaluate whether the default mode network experiences age-related changes in functional connectivity and to identify these patterns of progression across seven decades of life. The overall goal is to evaluate whether quantifying these functional changes can serve as potential neurobiomarkers of aging for further quantitative genetic analyses. METHODS/STUDY POPULATION: Scans were performed at the RII on a 3T Siemens Trio scanner with an 8-channel head coil. Whole-brain, rsfMR imaging was performed using a gradient-echo EPI sequence sensitive to the BOLD effect (TE/TR = 30/3000 ms; flip angle = 90°; isotropic 1.72 mm2). Subjects were instructed to lie in dimmed light with their eyes open and try not to fall asleep. Image analysis was performed with FMRIB’s Software Library tools (www.fmrib.ox.ac.uk/fsl). Preprocessing of resting state data includes motion correction, brain extraction, spatial smoothing, and high-pass temporal filtering. Time series data was extracted from 9 DMN ROIs using FSL’s Featquery tool with 6mm radius spherical ROI masks created in Mango. After extraction, DMN connectivity was assess using structural equation modeling implemented in Amos 22.0 (IBM, Inc.). RESULTS/ANTICIPATED RESULTS: The exploratory SEM (eSEM) default mode network (DMN) model used consists of 9 regions of interest and 13 functional connectivity paths. The eSEM DMN model exhibited exceptional model fit to a primary resting state data set of 1169 subjects from the Genetics of Brain Structure project (1R01MH078111-01, David Glahn PI) with an RMSEA of 0.037. This model also had excellent model fit in 7 cohorts that were grouped by decade age (10s – RMSEA: 0.058, 20s – 0.051, 30s – 0.045, 40s – 0.048, 50s – 0.043, 60s – 0.035, 70s – 0.037). Analysis of the decade group-wise path coefficients identified 7 of the 13 paths (pC -> LMTG, pC -> PCC, PCC -> MPFG, PCC -> vACC, MPFG -> vACC, LIPL -> RIPL, LMTG -> RMTG) significantly negatively correlated with age-related changes. As early as the 1st decade of life, the functional connectivity within the DMN decreases. DISCUSSION/SIGNIFICANCE OF IMPACT: The DMN experiences progressive age-related decreases in connectivity, beginning in the first decade of life. Our results suggest that DMN path coefficients can serve as biomarkers of cognitive aging, which can then be used as quantitative traits for genetic analyses to identify genes associated with normal aging and age-related cognitive diseases. OBJECTIVES/GOALS: To evaluate whether the default mode network experiences age-related changes in functional connectivity and to identify these patterns of progression across seven decades of life. The overall goal is to evaluate whether quantifying these functional changes can serve as potential neurobiomarkers of aging for further quantitative genetic analyses. METHODS/STUDY POPULATION: Scans were performed at the RII on a 3T Siemens Trio scanner with an 8-channel head coil. Whole-brain, rsfMR imaging was performed using a gradient-echo EPI sequence sensitive to the BOLD effect (TE/TR = 30/3000 ms; flip angle = 90°; isotropic 1.72 mm 2 ). Subjects were instructed to lie in dimmed light with their eyes open and try not to fall asleep. Image analysis was performed with FMRIB’s Software Library tools ( www.fmrib.ox.ac.uk/fsl ). Preprocessing of resting state data includes motion correction, brain extraction, spatial smoothing, and high-pass temporal filtering. Time series data was extracted from 9 DMN ROIs using FSL’s Featquery tool with 6mm radius spherical ROI masks created in Mango. After extraction, DMN connectivity was assess using structural equation modeling implemented in Amos 22.0 (IBM, Inc.). RESULTS/ANTICIPATED RESULTS: The exploratory SEM (eSEM) default mode network (DMN) model used consists of 9 regions of interest and 13 functional connectivity paths. The eSEM DMN model exhibited exceptional model fit to a primary resting state data set of 1169 subjects from the Genetics of Brain Structure project (1R01MH078111-01, David Glahn PI) with an RMSEA of 0.037. This model also had excellent model fit in 7 cohorts that were grouped by decade age (10s – RMSEA: 0.058, 20s – 0.051, 30s – 0.045, 40s – 0.048, 50s – 0.043, 60s – 0.035, 70s – 0.037). Analysis of the decade group-wise path coefficients identified 7 of the 13 paths (pC -> LMTG, pC -> PCC, PCC -> MPFG, PCC -> vACC, MPFG -> vACC, LIPL -> RIPL, LMTG -> RMTG) significantly negatively correlated with age-related changes. As early as the 1 st decade of life, the functional connectivity within the DMN decreases. DISCUSSION/SIGNIFICANCE OF IMPACT: The DMN experiences progressive age-related decreases in connectivity, beginning in the first decade of life. Our results suggest that DMN path coefficients can serve as biomarkers of cognitive aging, which can then be used as quantitative traits for genetic analyses to identify genes associated with normal aging and age-related cognitive diseases. |
| Author | Leonardo, Cassandra Fox, Peter T Franklin, Crystal G |
| AuthorAffiliation | 1 University of Health Science Center at San Antonio |
| AuthorAffiliation_xml | – name: 1 University of Health Science Center at San Antonio |
| Author_xml | – sequence: 1 givenname: Cassandra surname: Leonardo fullname: Leonardo, Cassandra – sequence: 2 givenname: Crystal G surname: Franklin fullname: Franklin, Crystal G – sequence: 3 givenname: Peter T surname: Fox fullname: Fox, Peter T |
| BookMark | eNpVkU1P3DAQhiNEJSjl1h9gqdeG2mPHdi6V0BZaJNpeQD1ajj3ezTbY1HZA_PsGdlWV03y9emY079vmMKaITfOe0TNGmfrkajkDCksl5UFzDLTrWy0lO_wvP2pOS9lSSpkGKTk_bn4JriU5X2ObcbIVPVltbFxjIWMkdYPkco6ujinaiaxSjLgUD2N9Io9j3ewlXzDYearke_JIfmB9TPn3u-ZNsFPB0308aW4vL25W39rrn1-vVufXrQMQsg3W9tT3PWBQIYjAkTsOIJVQqguKB5CcdQrEIFnnIdDBMUodlcHLATTnJ83VjuuT3Zr7PN7Z_GSSHc1LI-W1sbmObkIjHe0cH8KAygslvAZtNRUSBm8502phfd6x7ufhDr3DWLOdXkFfT-K4Mev0YLQGDlwsgA97QE5_ZizVbNOcl9cVAwJUL0X3cvLHncrlVErG8G8Do-bZSrNYaZ6tNIuV_C8Ld5Jr |
| ContentType | Journal Article |
| Copyright | 2020 This article is published under (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Association for Clinical and Translational Science 2020 2020 The Association for Clinical and Translational Science |
| Copyright_xml | – notice: 2020 This article is published under (https://creativecommons.org/licenses/by/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Association for Clinical and Translational Science 2020 2020 The Association for Clinical and Translational Science |
| DBID | AAYXX CITATION 8FE 8FH AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ HCIFZ LK8 M7P PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS 5PM DOA |
| DOI | 10.1017/cts.2020.166 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Korea ProQuest Central Student SciTech Collection (ProQuest) Biological Sciences Biological Science Database ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef ProQuest Central Student ProQuest Biological Science Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection Biological Science Database ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | ProQuest Central Student CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2059-8661 |
| EndPage | 44 |
| ExternalDocumentID | oai_doaj_org_article_6c05c3bfbe7d474d828a80462bda3187 PMC8823234 10_1017_cts_2020_166 |
| GroupedDBID | 09C 09E 0R~ 8FE 8FH AABES AABWE AAGFV AAKTX AASVR AAYXX ABGDZ ABQTM ABROB ABVZP ABXHF ACAJB ACBEK ACDLN ACGFS ACUIJ ADAZD ADBBV ADDNB ADKIL ADOVH ADVJH AEBAK AEHGV AEMTJ AEYHU AFFHD AFKQG AFKRA AFLVW AFZFC AGABE AGJUD AHIPN AHQXX AHRGI AIGNW AIHIV AIOIP AJCYY AKMAY ALMA_UNASSIGNED_HOLDINGS ANPSP AQJOH ARCSS AUXHV AZGZS BBLKV BBNVY BCNDV BENPR BHPHI BLZWO BMAJL BRIRG CBIIA CCPQU CCQAD CFAFE CITATION CJCSC DOHLZ GROUPED_DOAJ HCIFZ HYE IKXGN IOEEP IPYYG JHPGK JKPOH JQKCU JVRFK KCGVB KFECR LK8 M7P M~E NIKVX OK1 PHGZM PHGZT PQGLB RCA ROL RPM S6U SAAAG T9M WFFJZ ZYDXJ AZQEC DWQXO GNUQQ PKEHL PQEST PQQKQ PQUKI PRINS 5PM |
| ID | FETCH-LOGICAL-c2246-faa90d992ef7ff4f3e3c322674775f73f26315724b615d2f0bc100c06fd6b2833 |
| IEDL.DBID | M7P |
| ISSN | 2059-8661 |
| IngestDate | Tue Oct 14 18:27:56 EDT 2025 Tue Nov 04 02:04:38 EST 2025 Fri Jul 25 11:10:27 EDT 2025 Sat Nov 29 01:40:24 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | s1 |
| Language | English |
| License | http://creativecommons.org/licenses/by/4.0 This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2246-faa90d992ef7ff4f3e3c322674775f73f26315724b615d2f0bc100c06fd6b2833 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 Blue Ribbon Awardee |
| OpenAccessLink | https://doaj.org/article/6c05c3bfbe7d474d828a80462bda3187 |
| PQID | 2427964583 |
| PQPubID | 2046292 |
| PageCount | 1 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_6c05c3bfbe7d474d828a80462bda3187 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8823234 proquest_journals_2427964583 crossref_primary_10_1017_cts_2020_166 |
| PublicationCentury | 2000 |
| PublicationDate | 20200601 |
| PublicationDateYYYYMMDD | 2020-06-01 |
| PublicationDate_xml | – month: 06 year: 2020 text: 20200601 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Cambridge |
| PublicationPlace_xml | – name: Cambridge – name: Cambridge, UK |
| PublicationTitle | Journal of clinical and translational science |
| PublicationYear | 2020 |
| Publisher | Cambridge University Press |
| Publisher_xml | – name: Cambridge University Press |
| SSID | ssj0001826633 |
| Score | 2.1072867 |
| Snippet | OBJECTIVES/GOALS: To evaluate whether the default mode network experiences age-related changes in functional connectivity and to identify these patterns of... |
| SourceID | doaj pubmedcentral proquest crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database |
| StartPage | 44 |
| SubjectTerms | Age Aging Cognitive ability Data Science/Biostatistics/Informatics Genetic analysis Image processing Neural networks Neuroimaging Population genetics Population studies Quantitative genetics |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV09T8MwELVQxcCCQIAoFOQBxogkduxkLB8VA6oYQHSznLMNlVBAbcrv52yn0EwsjHYs2bmz5XfWu3eEXBQgQAsOCZjMJBwMS2rmbFJWAgOxWqfWBhHXBzmdlrNZ9bhR6stzwqI8cDTclYC0AFa72krDJTcYIejSZ1TWRuN-DHnkiHo2gqnwuoKoWTDWMd29RjS0Xpw7x1YQRPy9g4JUfw9f9tmRG9fNZI_sdjiRjuP69smWbQ7IC2eloONXm4QUFGtoTA5Y0nlDEcnRCd5S8XGPBgYLxNoQ1L-2dkNurdOr95b6Imh0Gkngh-R5cvd0c590lRES8AJwidO6Sk1V5dZJ57hjlgGeTDSvlIWTzOWCZYXMeY2AxeQurSFLU0iFM6JGQMGOyKD5aOwxoQCWWZ9HZHLLs7LSFVS60K7AQA2wMSSXa1upzyiAoSIzTCq0qfI2VWjTIbn2hvwZ42WrQwc6U3XOVH85c0hGazeo7izhDDz3-bJFyYZE9lzTm6z_pZm_Ba1sDCBYzvjJf6zulOz4v41EsREZtIuVPSPb8NXOl4vzsAG_AR2M4lw priority: 102 providerName: Directory of Open Access Journals |
| Title | 4386 Age-related Changes in the Functional Connectivity within the Default Mode Network |
| URI | https://www.proquest.com/docview/2427964583 https://pubmed.ncbi.nlm.nih.gov/PMC8823234 https://doaj.org/article/6c05c3bfbe7d474d828a80462bda3187 |
| Volume | 4 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAEN databaseName: Cambridge University Press Wholly Gold Open Access Journals customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: IKXGN dateStart: 20170201 isFulltext: true titleUrlDefault: http://journals.cambridge.org/action/login providerName: Cambridge University Press – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: DOA dateStart: 20170101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: M~E dateStart: 20160101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: M7P dateStart: 20170201 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2059-8661 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001826633 issn: 2059-8661 databaseCode: BENPR dateStart: 20170201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lj9MwEB7BLgcuPASIwlL5AEeLNHbs5IR2oRUHVFUIxN4iZ2wvlVC6tF2O-9t3xnF3yYULl0hOrDjJ2J5HvvkG4G2FBp3RKNHPvNTolexUDLJuDDlinStCSCSuX-xyWZ-fN6sccNtlWOVhT0wbtd8gx8jfkyrhrMmqVh8uf0uuGsV_V3MJjftwzCwJKkH3VncxFrKdjVIZ785M0bhniu6SWokW8U4TJcL-kZU5xkj-pXQWj__3cZ_Ao2xuitNhfjyFe6F_Bj-0qo04vQgyZbIEL4Ycg51Y94IMQrEgZTfECEUCwuBQYkJw0DZ3-RSiu_q1F1xLTSwHLPlz-L6Yf_v4WeYCCxKZR05G55rCN00Zoo1RRxUU0gInKVlbRatiadSssqXuyO7xZSw6nBUFFiZ605Fdol7AUb_pw0sQiEEFTkfyZdCzunENNq5ysSJ_D6kxgXeHj91eDjwa7QAwsy0JpWWhtCSUCZyxJG77MPt1OrHZXrR5MbUGiwpVF7tgvbbak9foas6y7byjPcpO4OQglDYvSRrhViITsCPZjgYbX-nXPxPlNvkhqlT61b9v_Boe8nsMSLITONpvr8IbeIB_9uvddgrHZ_Pl6us0uf3TNFP5eD2_AWPS9DU |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwEB2VggSXFgSIhQI-0GNE1nbs5IBQoV216rLqoYjegjO2y0ooW3a3oP4pfiNjO2nJhVsPHJ1Ydhy_zIfzZgbgTYEKjZKYoR3bTKIVWSO8y8pKkSPWmNy5mMR1qmez8uysOtmA330sTKBV9jIxCmq7wHBG_pZUSYiaLErx_uJHFqpGhb-rfQmNBItjd_WLXLbVu6N92t9dzicHpx8Ps66qQIYheVrmjalyW1Xcee299MIJJFTTo2ldeC08V2JcaC4bUvaW-7zBcZ5jrrxVDSljQePegbtkRvAyUgVPbs50yFZXQnT8-pCZGtchJTinVkzDeKP5YoGAgVU75GT-peQm2__b63kIW505zfYS_h_BhmsfwxcpSsX2zl0WI3WcZSmGYsXmLSODl01ImaczUBaJPphKaLBwKN112XfeXH5fs1Arjs0SV_4JfL6VtTyFzXbRumfAEJ1wIdzKcifHZWUqrExhfEH-LFJjBLv95tYXKU9InQh0uiYQ1AEENYFgBB_Czl_3Cdm944XF8rzuhEWtMC9QNL5x2kotLXnFpgxRxI01JIP1CHZ6ENSdyKEZrhEwAj3A0mCy4Z12_i2mFCc_S3Ahn_974Ndw__D007SeHs2OX8CDsKbEmtuBzfXy0r2Ee_hzPV8tX8XvgsHX20baH2dAS0E |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwEB2VghAXPgSILQV8oMeoWduxkwNChWVF1bLaA4jegjO225VQtuxui_hr_DrGdtKSC7ceOCax7Dh-nvFM3swAvC5QoVESM7Rjm0m0ImuEd1lZKTLEGpM7F5O4HuvZrDw5qeZb8LuPhQm0yl4mRkFtlxh85PukSkLUZFGKfd_RIuaT6dvzH1moIBX-tPblNBJEjtyvn2S-rd8cTmit9ziffvj8_mPWVRjIMCRSy7wxVW6rijuvvZdeOIGEcHpNrQuvhedKjAvNZUOK33KfNzjOc8yVt6ohxSyo31twW0sVhcInPb_279C5XQnRce1DlmrchPTgnK5iSsZrLRiLBQxOuEN-5l8Kb_rgf_5UD-F-d8xmB2lfPIIt1z6Gr1KUih2cuixG8DjLUmzFmi1aRgdhNiUln3yjLBKAMJXWYMFZ3TWZOG8uvm9YqCHHZolD_wS-3MhcnsJ2u2zdM2CITrgQhmW5k-OyMhVWpjC-IDsX6WIEe_1C1-cpf0idiHW6JkDUARA1AWIE7wIKrtqErN_xxnJ1WndCpFaYFyga3zhtpZaWrGVThujixhqSzXoEuz0g6k4U0QhXaBiBHuBqMNjwSbs4i6nGyf4SXMidf3f8Cu4SwOrjw9nRc7gXppTIdLuwvVlduBdwBy83i_XqZdwiDL7dNND-AJmmU_8 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=4386+Age-related+Changes+in+the+Functional+Connectivity+within+the+Default+Mode+Network&rft.jtitle=Journal+of+clinical+and+translational+science&rft.au=Leonardo%2C+Cassandra&rft.au=Franklin%2C+Crystal+G&rft.au=Fox%2C+Peter+T&rft.date=2020-06-01&rft.issn=2059-8661&rft.eissn=2059-8661&rft.volume=4&rft.issue=s1&rft.spage=44&rft.epage=44&rft_id=info:doi/10.1017%2Fcts.2020.166&rft.externalDBID=n%2Fa&rft.externalDocID=10_1017_cts_2020_166 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2059-8661&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2059-8661&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2059-8661&client=summon |