Brain Function Differences in Children With Type 1 Diabetes: A Functional MRI Study of Working Memory
Glucose is a primary fuel source to the brain, yet the influence of dysglycemia on neurodevelopment in children with type 1 diabetes remains unclear. We examined brain activation using functional MRI in 80 children with type 1 diabetes (mean ± SD age 11.5 ± 1.8 years; 46% female) and 47 children wit...
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| Veröffentlicht in: | Diabetes (New York, N.Y.) N.Y.), 2020-08, Vol.69 (8), p.1770-1778 |
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| creator | Foland-Ross, Lara C Tong, Gabby Mauras, Nelly Cato, Allison Aye, Tandy Tansey, Michael White, Neil H Weinzimer, Stuart A Englert, Kimberly Shen, Hanyang Mazaika, Paul K Reiss, Allan L |
| description | Glucose is a primary fuel source to the brain, yet the influence of dysglycemia on neurodevelopment in children with type 1 diabetes remains unclear. We examined brain activation using functional MRI in 80 children with type 1 diabetes (mean ± SD age 11.5 ± 1.8 years; 46% female) and 47 children without diabetes (control group) (age 11.8 ± 1.5 years; 51% female) as they performed a visuospatial working memory (N-back) task. Results indicated that in both groups, activation scaled positively with increasing working memory load across many areas, including the frontoparietal cortex, caudate, and cerebellum. Between groups, children with diabetes exhibited reduced performance on the N-back task relative to children in the control group, as well as greater modulation of activation (i.e., showed greater increase in activation with higher working memory load). Post hoc analyses indicated that greater modulation was associated in the diabetes group with better working memory function and with an earlier age of diagnosis. These findings suggest that increased modulation may occur as a compensatory mechanism, helping in part to preserve working memory ability, and further, that children with an earlier onset require additional compensation. Future studies that test whether these patterns change as a function of improved glycemic control are warranted. |
| doi_str_mv | 10.2337/db20-0123 |
| format | Article |
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We examined brain activation using functional MRI in 80 children with type 1 diabetes (mean ± SD age 11.5 ± 1.8 years; 46% female) and 47 children without diabetes (control group) (age 11.8 ± 1.5 years; 51% female) as they performed a visuospatial working memory (N-back) task. Results indicated that in both groups, activation scaled positively with increasing working memory load across many areas, including the frontoparietal cortex, caudate, and cerebellum. Between groups, children with diabetes exhibited reduced performance on the N-back task relative to children in the control group, as well as greater modulation of activation (i.e., showed greater increase in activation with higher working memory load). Post hoc analyses indicated that greater modulation was associated in the diabetes group with better working memory function and with an earlier age of diagnosis. These findings suggest that increased modulation may occur as a compensatory mechanism, helping in part to preserve working memory ability, and further, that children with an earlier onset require additional compensation. Future studies that test whether these patterns change as a function of improved glycemic control are warranted.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db20-0123</identifier><identifier>PMID: 32471809</identifier><language>eng</language><publisher>United States: American Diabetes Association</publisher><subject>Age ; Brain - physiopathology ; Cerebellum ; Child ; Children ; Cognition - physiology ; Diabetes ; Diabetes mellitus (insulin dependent) ; Diabetes Mellitus, Type 1 - physiopathology ; Female ; Functional magnetic resonance imaging ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Memory ; Memory, Short-Term - physiology ; Mental task performance ; Pathophysiology ; Pediatrics ; Short term memory ; Spatial memory</subject><ispartof>Diabetes (New York, N.Y.), 2020-08, Vol.69 (8), p.1770-1778</ispartof><rights>2020 by the American Diabetes Association.</rights><rights>Copyright American Diabetes Association Aug 1, 2020</rights><rights>2020 by the American Diabetes Association 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-97f68180318828de666ae5067361bad5158ecc634e9e89fdbb99d09992c9085e3</citedby><cites>FETCH-LOGICAL-c403t-97f68180318828de666ae5067361bad5158ecc634e9e89fdbb99d09992c9085e3</cites><orcidid>0000-0002-9005-3303 ; 0000-0002-9464-6333 ; 0000-0001-6358-4566</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/PMC7372069/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372069/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32471809$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Foland-Ross, Lara C</creatorcontrib><creatorcontrib>Tong, Gabby</creatorcontrib><creatorcontrib>Mauras, Nelly</creatorcontrib><creatorcontrib>Cato, Allison</creatorcontrib><creatorcontrib>Aye, Tandy</creatorcontrib><creatorcontrib>Tansey, Michael</creatorcontrib><creatorcontrib>White, Neil H</creatorcontrib><creatorcontrib>Weinzimer, Stuart A</creatorcontrib><creatorcontrib>Englert, Kimberly</creatorcontrib><creatorcontrib>Shen, Hanyang</creatorcontrib><creatorcontrib>Mazaika, Paul K</creatorcontrib><creatorcontrib>Reiss, Allan L</creatorcontrib><creatorcontrib>Diabetes Research in Children Network (DirecNet)</creatorcontrib><creatorcontrib>Diabetes Research in Children Network (DirecNet)</creatorcontrib><title>Brain Function Differences in Children With Type 1 Diabetes: A Functional MRI Study of Working Memory</title><title>Diabetes (New York, N.Y.)</title><addtitle>Diabetes</addtitle><description>Glucose is a primary fuel source to the brain, yet the influence of dysglycemia on neurodevelopment in children with type 1 diabetes remains unclear. We examined brain activation using functional MRI in 80 children with type 1 diabetes (mean ± SD age 11.5 ± 1.8 years; 46% female) and 47 children without diabetes (control group) (age 11.8 ± 1.5 years; 51% female) as they performed a visuospatial working memory (N-back) task. Results indicated that in both groups, activation scaled positively with increasing working memory load across many areas, including the frontoparietal cortex, caudate, and cerebellum. Between groups, children with diabetes exhibited reduced performance on the N-back task relative to children in the control group, as well as greater modulation of activation (i.e., showed greater increase in activation with higher working memory load). Post hoc analyses indicated that greater modulation was associated in the diabetes group with better working memory function and with an earlier age of diagnosis. These findings suggest that increased modulation may occur as a compensatory mechanism, helping in part to preserve working memory ability, and further, that children with an earlier onset require additional compensation. Future studies that test whether these patterns change as a function of improved glycemic control are warranted.</description><subject>Age</subject><subject>Brain - physiopathology</subject><subject>Cerebellum</subject><subject>Child</subject><subject>Children</subject><subject>Cognition - physiology</subject><subject>Diabetes</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diabetes Mellitus, Type 1 - physiopathology</subject><subject>Female</subject><subject>Functional magnetic resonance imaging</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Memory</subject><subject>Memory, Short-Term - physiology</subject><subject>Mental task performance</subject><subject>Pathophysiology</subject><subject>Pediatrics</subject><subject>Short term memory</subject><subject>Spatial memory</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkV9rFDEUxUNR2rX64BcoAV_0YfQm2cmfPgh1tVpoEbSlvoVM5k437exkTWaE_fZmabtUycMl9_7u4XAPIa8ZvOdCqA9tw6ECxsUemTEjTCW4-vWMzKD0KqaMOiAvcr4FAFnePjkQfK6YBjMj-Cm5MNDTafBjiAP9HLoOEw4eMy39xTL0bfnS6zAu6eVmjZQVxjU4Yj6mJ7tF19OLH2f05zi1Gxo7eh3TXRhu6AWuYtq8JM8712d89VAPydXpl8vFt-r8-9ezxcl55ecgxsqoTuriSzCtuW5RSumwBqmEZI1ra1Zr9F6KORrUpmubxpgWjDHcG9A1ikPy8V53PTUrbD0OY3K9Xaewcmljowv238kQlvYm_rFKKA7SFIG3DwIp_p4wj3YVsse-dwPGKVs-B80MAyUK-uY_9DZOqRxiSxXDNRccCvXunvIp5pyw25lhYLfh2W14dhteYY-eut-Rj2mJvxm0kzA</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Foland-Ross, Lara C</creator><creator>Tong, Gabby</creator><creator>Mauras, Nelly</creator><creator>Cato, Allison</creator><creator>Aye, Tandy</creator><creator>Tansey, Michael</creator><creator>White, Neil H</creator><creator>Weinzimer, Stuart A</creator><creator>Englert, Kimberly</creator><creator>Shen, Hanyang</creator><creator>Mazaika, Paul K</creator><creator>Reiss, Allan L</creator><general>American Diabetes Association</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9005-3303</orcidid><orcidid>https://orcid.org/0000-0002-9464-6333</orcidid><orcidid>https://orcid.org/0000-0001-6358-4566</orcidid></search><sort><creationdate>20200801</creationdate><title>Brain Function Differences in Children With Type 1 Diabetes: A Functional MRI Study of Working Memory</title><author>Foland-Ross, Lara C ; Tong, Gabby ; Mauras, Nelly ; Cato, Allison ; Aye, Tandy ; Tansey, Michael ; White, Neil H ; Weinzimer, Stuart A ; Englert, Kimberly ; Shen, Hanyang ; Mazaika, Paul K ; Reiss, Allan L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-97f68180318828de666ae5067361bad5158ecc634e9e89fdbb99d09992c9085e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Brain - physiopathology</topic><topic>Cerebellum</topic><topic>Child</topic><topic>Children</topic><topic>Cognition - physiology</topic><topic>Diabetes</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Diabetes Mellitus, Type 1 - physiopathology</topic><topic>Female</topic><topic>Functional magnetic resonance imaging</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Memory</topic><topic>Memory, Short-Term - physiology</topic><topic>Mental task performance</topic><topic>Pathophysiology</topic><topic>Pediatrics</topic><topic>Short term memory</topic><topic>Spatial memory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Foland-Ross, Lara C</creatorcontrib><creatorcontrib>Tong, Gabby</creatorcontrib><creatorcontrib>Mauras, Nelly</creatorcontrib><creatorcontrib>Cato, Allison</creatorcontrib><creatorcontrib>Aye, Tandy</creatorcontrib><creatorcontrib>Tansey, Michael</creatorcontrib><creatorcontrib>White, Neil H</creatorcontrib><creatorcontrib>Weinzimer, Stuart A</creatorcontrib><creatorcontrib>Englert, Kimberly</creatorcontrib><creatorcontrib>Shen, Hanyang</creatorcontrib><creatorcontrib>Mazaika, Paul K</creatorcontrib><creatorcontrib>Reiss, Allan L</creatorcontrib><creatorcontrib>Diabetes Research in Children Network (DirecNet)</creatorcontrib><creatorcontrib>Diabetes Research in Children Network (DirecNet)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Foland-Ross, Lara C</au><au>Tong, Gabby</au><au>Mauras, Nelly</au><au>Cato, Allison</au><au>Aye, Tandy</au><au>Tansey, Michael</au><au>White, Neil H</au><au>Weinzimer, Stuart A</au><au>Englert, Kimberly</au><au>Shen, Hanyang</au><au>Mazaika, Paul K</au><au>Reiss, Allan L</au><aucorp>Diabetes Research in Children Network (DirecNet)</aucorp><aucorp>Diabetes Research in Children Network (DirecNet)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain Function Differences in Children With Type 1 Diabetes: A Functional MRI Study of Working Memory</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><addtitle>Diabetes</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>69</volume><issue>8</issue><spage>1770</spage><epage>1778</epage><pages>1770-1778</pages><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Glucose is a primary fuel source to the brain, yet the influence of dysglycemia on neurodevelopment in children with type 1 diabetes remains unclear. We examined brain activation using functional MRI in 80 children with type 1 diabetes (mean ± SD age 11.5 ± 1.8 years; 46% female) and 47 children without diabetes (control group) (age 11.8 ± 1.5 years; 51% female) as they performed a visuospatial working memory (N-back) task. Results indicated that in both groups, activation scaled positively with increasing working memory load across many areas, including the frontoparietal cortex, caudate, and cerebellum. Between groups, children with diabetes exhibited reduced performance on the N-back task relative to children in the control group, as well as greater modulation of activation (i.e., showed greater increase in activation with higher working memory load). Post hoc analyses indicated that greater modulation was associated in the diabetes group with better working memory function and with an earlier age of diagnosis. These findings suggest that increased modulation may occur as a compensatory mechanism, helping in part to preserve working memory ability, and further, that children with an earlier onset require additional compensation. Future studies that test whether these patterns change as a function of improved glycemic control are warranted.</abstract><cop>United States</cop><pub>American Diabetes Association</pub><pmid>32471809</pmid><doi>10.2337/db20-0123</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9005-3303</orcidid><orcidid>https://orcid.org/0000-0002-9464-6333</orcidid><orcidid>https://orcid.org/0000-0001-6358-4566</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Age Brain - physiopathology Cerebellum Child Children Cognition - physiology Diabetes Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 - physiopathology Female Functional magnetic resonance imaging Humans Magnetic Resonance Imaging - methods Male Memory Memory, Short-Term - physiology Mental task performance Pathophysiology Pediatrics Short term memory Spatial memory |
| title | Brain Function Differences in Children With Type 1 Diabetes: A Functional MRI Study of Working Memory |
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