Micro- and macro-changes in early-stage type 2 diabetes mellitus without cognitive impairment: a diffusion tensor imaging (DTI) and surface-based morphometry (SBM) study
Brain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with cognitive impairment. Many previous studies have shown by using brain structural and functional magnetic resonance imaging (MRI) methods that brain w...
Saved in:
Published in | Frontiers in neurology Vol. 14; p. 1115634 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
05.07.2023
|
Subjects | |
Online Access | Get full text |
ISSN | 1664-2295 1664-2295 |
DOI | 10.3389/fneur.2023.1115634 |
Cover
Loading…
Abstract | Brain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with cognitive impairment. Many previous studies have shown by using brain structural and functional magnetic resonance imaging (MRI) methods that brain white and gray matter are damaged in T2DM, leading to cognitive impairment. Researches neglected patients of T2DM without cognitive dysfunction might also have brain changes.
In this study, subjects with early stage T2DM with no cognitive dysfunction were enrolled to detect brain damages using the tract-based spatial statistics analysis (TBSS) method to demonstrate white matter (WM) micro changes and surface-based morphometry (SBM) method to assess cerebral cortex macro changes.
The whole-brain TBSS analysis revealed that there were no statistically significant changes in fractional anisotropy (FA) and mean diffusivity (MD), but the FA declined in some area of cerebral WM (
< 0.1). The SBM results showed no changes in cortical thickness (CT), cortical volume (CV), surface area (SA), and cortical sulcal curve (CSC) between these two groups, but pial local gyration index (LGI) was decreased in the precuneus (-log10,
= -3.327).
In conclusion, early stage T2DM patients without cognitive impairment had brain micro and macro structural damages, suggesting the potential use of MRI as an imaging marker to detect brain changes in early stage T2DM, which could not be observed and assessed clinically. |
---|---|
AbstractList | Brain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with cognitive impairment. Many previous studies have shown by using brain structural and functional magnetic resonance imaging (MRI) methods that brain white and gray matter are damaged in T2DM, leading to cognitive impairment. Researches neglected patients of T2DM without cognitive dysfunction might also have brain changes.IntroductionBrain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with cognitive impairment. Many previous studies have shown by using brain structural and functional magnetic resonance imaging (MRI) methods that brain white and gray matter are damaged in T2DM, leading to cognitive impairment. Researches neglected patients of T2DM without cognitive dysfunction might also have brain changes.In this study, subjects with early stage T2DM with no cognitive dysfunction were enrolled to detect brain damages using the tract-based spatial statistics analysis (TBSS) method to demonstrate white matter (WM) micro changes and surface-based morphometry (SBM) method to assess cerebral cortex macro changes.MethodsIn this study, subjects with early stage T2DM with no cognitive dysfunction were enrolled to detect brain damages using the tract-based spatial statistics analysis (TBSS) method to demonstrate white matter (WM) micro changes and surface-based morphometry (SBM) method to assess cerebral cortex macro changes.The whole-brain TBSS analysis revealed that there were no statistically significant changes in fractional anisotropy (FA) and mean diffusivity (MD), but the FA declined in some area of cerebral WM (p < 0.1). The SBM results showed no changes in cortical thickness (CT), cortical volume (CV), surface area (SA), and cortical sulcal curve (CSC) between these two groups, but pial local gyration index (LGI) was decreased in the precuneus (-log10, p = -3.327).ResultsThe whole-brain TBSS analysis revealed that there were no statistically significant changes in fractional anisotropy (FA) and mean diffusivity (MD), but the FA declined in some area of cerebral WM (p < 0.1). The SBM results showed no changes in cortical thickness (CT), cortical volume (CV), surface area (SA), and cortical sulcal curve (CSC) between these two groups, but pial local gyration index (LGI) was decreased in the precuneus (-log10, p = -3.327).In conclusion, early stage T2DM patients without cognitive impairment had brain micro and macro structural damages, suggesting the potential use of MRI as an imaging marker to detect brain changes in early stage T2DM, which could not be observed and assessed clinically.DiscussionIn conclusion, early stage T2DM patients without cognitive impairment had brain micro and macro structural damages, suggesting the potential use of MRI as an imaging marker to detect brain changes in early stage T2DM, which could not be observed and assessed clinically. IntroductionBrain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with cognitive impairment. Many previous studies have shown by using brain structural and functional magnetic resonance imaging (MRI) methods that brain white and gray matter are damaged in T2DM, leading to cognitive impairment. Researches neglected patients of T2DM without cognitive dysfunction might also have brain changes.MethodsIn this study, subjects with early stage T2DM with no cognitive dysfunction were enrolled to detect brain damages using the tract-based spatial statistics analysis (TBSS) method to demonstrate white matter (WM) micro changes and surface-based morphometry (SBM) method to assess cerebral cortex macro changes.ResultsThe whole-brain TBSS analysis revealed that there were no statistically significant changes in fractional anisotropy (FA) and mean diffusivity (MD), but the FA declined in some area of cerebral WM (p < 0.1). The SBM results showed no changes in cortical thickness (CT), cortical volume (CV), surface area (SA), and cortical sulcal curve (CSC) between these two groups, but pial local gyration index (LGI) was decreased in the precuneus (−log10, p = −3.327).DiscussionIn conclusion, early stage T2DM patients without cognitive impairment had brain micro and macro structural damages, suggesting the potential use of MRI as an imaging marker to detect brain changes in early stage T2DM, which could not be observed and assessed clinically. Brain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with cognitive impairment. Many previous studies have shown by using brain structural and functional magnetic resonance imaging (MRI) methods that brain white and gray matter are damaged in T2DM, leading to cognitive impairment. Researches neglected patients of T2DM without cognitive dysfunction might also have brain changes. In this study, subjects with early stage T2DM with no cognitive dysfunction were enrolled to detect brain damages using the tract-based spatial statistics analysis (TBSS) method to demonstrate white matter (WM) micro changes and surface-based morphometry (SBM) method to assess cerebral cortex macro changes. The whole-brain TBSS analysis revealed that there were no statistically significant changes in fractional anisotropy (FA) and mean diffusivity (MD), but the FA declined in some area of cerebral WM ( < 0.1). The SBM results showed no changes in cortical thickness (CT), cortical volume (CV), surface area (SA), and cortical sulcal curve (CSC) between these two groups, but pial local gyration index (LGI) was decreased in the precuneus (-log10, = -3.327). In conclusion, early stage T2DM patients without cognitive impairment had brain micro and macro structural damages, suggesting the potential use of MRI as an imaging marker to detect brain changes in early stage T2DM, which could not be observed and assessed clinically. |
Author | Chen, Yanzi Yu, Dafei Chen, Cuimei Tan, Hui Hu, Ziqi Zhang, Yuzhong Li, Xiao Fang, Jinzhi Ding, Ling Tang, Xiangyong |
AuthorAffiliation | 2 Department of Medical Imaging, Second Affiliated Hospital, Shantou University Medical College , Shantou , China 1 Department of Medical Imaging, Affiliated Longhua People's Hospital, Southern Medical University , Shenzhen , China |
AuthorAffiliation_xml | – name: 1 Department of Medical Imaging, Affiliated Longhua People's Hospital, Southern Medical University , Shenzhen , China – name: 2 Department of Medical Imaging, Second Affiliated Hospital, Shantou University Medical College , Shantou , China |
Author_xml | – sequence: 1 givenname: Xiangyong surname: Tang fullname: Tang, Xiangyong – sequence: 2 givenname: Yanzi surname: Chen fullname: Chen, Yanzi – sequence: 3 givenname: Hui surname: Tan fullname: Tan, Hui – sequence: 4 givenname: Jinzhi surname: Fang fullname: Fang, Jinzhi – sequence: 5 givenname: Dafei surname: Yu fullname: Yu, Dafei – sequence: 6 givenname: Cuimei surname: Chen fullname: Chen, Cuimei – sequence: 7 givenname: Xiao surname: Li fullname: Li, Xiao – sequence: 8 givenname: Ziqi surname: Hu fullname: Hu, Ziqi – sequence: 9 givenname: Ling surname: Ding fullname: Ding, Ling – sequence: 10 givenname: Yuzhong surname: Zhang fullname: Zhang, Yuzhong |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37475732$$D View this record in MEDLINE/PubMed |
BookMark | eNpVUsluFDEQtVAQCUN-gAPyMTn04K03LiiEbaREHAhnq7q7usdRtz3Y7qD5JP4Sz0KU-OJS1av3SlXvNTmxziIhbzlbSlnV73uLs18KJuSSc54XUr0gZ7woVCZEnZ88iU_JeQj3LD1Z17KQr8ipLFWZl1Kckb-3pvUuo2A7OsEubNdgBwzUWIrgx20WIgxI43aDVNDOQIMxlSccRxPnQP-YuHZzpK0brInmAamZNmD8hDZ-oJA6-n4Oxlka0QbnUxkGYwd68fludbkXDrPvocWsgYBpDOc3azdh9Ft68fPT7SUNce62b8jLHsaA58d_QX59_XJ3_T27-fFtdX11k7VKsJhB1ZdFXVdclkIpgZxBUZdQIGtLrliVp1WVZVFB0QvMq5xD3jey7FIKpeS5XJDVgbdzcK83Po3rt9qB0fuE84MGH007om5SI1dK1bIC1UtoOgGC5YCClQIT34J8PHBt5mbCrk0r8TA-I31esWatB_egOZO5qordNBdHBu9-zxiinkxo0-7BopuDFpXiTFQi30HfPRV7VPl_7AQQB0A6cwge-0cIZ3pnKr03ld6ZSh9NJf8BGLbBJg |
Cites_doi | 10.1007/s00234-016-1752-4 10.3389/fnana.2018.00021 10.1016/j.neuroimage.01021 10.1002/brb3.2746 10.3390/brainsci11020140 10.2463/mrms.rev.2021-0096 10.3389/fneur.2021.697349 10.1016/j.biopsycho.2022.108409 10.3174/ajnr.A4740 10.1212/WNL.0000000000006955 10.1038/nprot.2007.45 10.1016/j.neuroimage.11023 10.1093/brain/awl004 10.1016/j.jocn.07014 10.1161/HYPERTENSIONAHA.120.14678 10.3389/fnagi.2021.693890 10.1016/j.nicl.2019.101945 10.1016/j.jns.08048 10.2337/dc13-S067 10.1002/ajp.23264 10.1093/gerona/glx076 10.1007/s11682-021-00529-1 10.1523/JNEUROSCI.4227-13.2014 10.3349/ymj.62,3.255 10.1016/j.yfrne.2019.100782 10.1007/s12021-021-09521-y 10.1016/jneulet01 10.1038/srep32980 |
ContentType | Journal Article |
Copyright | Copyright © 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang. Copyright © 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang. 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang |
Copyright_xml | – notice: Copyright © 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang. – notice: Copyright © 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang. 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang |
DBID | AAYXX CITATION NPM 7X8 5PM DOA |
DOI | 10.3389/fneur.2023.1115634 |
DatabaseName | CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Open Access Full Text |
DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic PubMed |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Full Text url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1664-2295 |
ExternalDocumentID | oai_doaj_org_article_bb371444938a4f3abd2a205ae2072e8e PMC10354865 37475732 10_3389_fneur_2023_1115634 |
Genre | Journal Article |
GroupedDBID | 53G 5VS 9T4 AAFWJ AAKDD AAYXX ACGFO ACGFS ACXDI ADBBV ADRAZ AENEX AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV CITATION DIK E3Z EMOBN F5P GROUPED_DOAJ GX1 HYE KQ8 M48 M~E O5R O5S OK1 P2P PGMZT RNS RPM IAO IEA IHR IHW IPNFZ NPM RIG 7X8 5PM |
ID | FETCH-LOGICAL-c420t-a8f769981372442e10a697a6e0c7140855637768a6f2e5851a5fb37d768e33153 |
IEDL.DBID | M48 |
ISSN | 1664-2295 |
IngestDate | Wed Aug 27 01:20:06 EDT 2025 Thu Aug 21 18:36:37 EDT 2025 Thu Jul 10 17:47:27 EDT 2025 Thu Jan 02 22:51:37 EST 2025 Tue Jul 01 00:41:14 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | cortex type 2 diabetes mellitus diffusion tenser imaging white matter FreeSurfer |
Language | English |
License | Copyright © 2023 Tang, Chen, Tan, Fang, Yu, Chen, Li, Hu, Ding and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c420t-a8f769981372442e10a697a6e0c7140855637768a6f2e5851a5fb37d768e33153 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Wei Wang, Capital Medical University, China; Gen Yan, Xiamen Medical College, China Edited by: Peter Sörös, University of Oldenburg, Germany |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.3389/fneur.2023.1115634 |
PMID | 37475732 |
PQID | 2841028255 |
PQPubID | 23479 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_bb371444938a4f3abd2a205ae2072e8e pubmedcentral_primary_oai_pubmedcentral_nih_gov_10354865 proquest_miscellaneous_2841028255 pubmed_primary_37475732 crossref_primary_10_3389_fneur_2023_1115634 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2023-07-05 |
PublicationDateYYYYMMDD | 2023-07-05 |
PublicationDate_xml | – month: 07 year: 2023 text: 2023-07-05 day: 05 |
PublicationDecade | 2020 |
PublicationPlace | Switzerland |
PublicationPlace_xml | – name: Switzerland |
PublicationTitle | Frontiers in neurology |
PublicationTitleAlternate | Front Neurol |
PublicationYear | 2023 |
Publisher | Frontiers Media S.A |
Publisher_xml | – name: Frontiers Media S.A |
References | Smith (B18) 2007; 2 Cavanna (B25) 2006; 129 Huang (B21) 2021; 13 Palta (B5) 2017; 73 Feng (B9) 2021; 12 (B17) 2013; 36 Yang (B12) 2016; 6 Alotaibi (B8) 2021; 11 Tanglay (B23) 2022; 16 Jenkins (B28) 2020; 75 Zhuo (B3) 2019; 24 Sun (B13) 2018; 12 Xiong (B1) 2016; 37 Wang (B14) 2022; 20 Hou (B22) 2022; 174 Utevsky (B26) 2014; 34 Zhang (B11) 2014; 562 Goto (B16) 2022; 21 Fischl (B19) 2012; 62 Chen (B10) 2014; 22 Sanjari Moghaddam (B7) 2019; 55 Moran (B6) 2019; 92 Yim (B20) 2021; 62 Brundel (B15) 2010; 299 Huang (B2) 2022; 12 Tan (B4) 2016; 58 Zhang (B24) 2011; 59 Mulholland (B27) 2021; 83 |
References_xml | – volume: 58 start-page: 1209 year: 2016 ident: B4 article-title: Micro-structural white matter abnormalities in type 2 diabetic patients: a DTI study using TBSS analysis publication-title: Neuroradiol. doi: 10.1007/s00234-016-1752-4 – volume: 12 start-page: 21 year: 2018 ident: B13 article-title: Alterations of white matter integrity and hippocampal functional connectivity in type 2 diabetes without mild cognitive impairment publication-title: Front Neuroanat. doi: 10.3389/fnana.2018.00021 – volume: 62 start-page: 774 year: 2012 ident: B19 article-title: FreeSurfer publication-title: Neuroimage. doi: 10.1016/j.neuroimage.01021 – volume: 12 start-page: e2746 year: 2022 ident: B2 article-title: Cortical gray matter microstructural alterations in patients with type 2 diabetes mellitus publication-title: Brain Behav. doi: 10.1002/brb3.2746 – volume: 11 start-page: 140 year: 2021 ident: B8 article-title: Investigating brain microstructural alterations in type 1 and type 2 diabetes using diffusion tensor imaging: a systematic review publication-title: Brain Sci. doi: 10.3390/brainsci11020140 – volume: 21 start-page: 41 year: 2022 ident: B16 article-title: Advantages of using both voxel- and surface-based morphometry in cortical morphology analysis: a review of various applications publication-title: Magn Reson Med Sci. doi: 10.2463/mrms.rev.2021-0096 – volume: 12 start-page: 697349 year: 2021 ident: B9 article-title: Altered gray matter volume, functional connectivity, and degree centrality in early-onset type 2 diabetes mellitus publication-title: Front Neurol. doi: 10.3389/fneur.2021.697349 – volume: 174 start-page: 108409 year: 2022 ident: B22 article-title: Altered local gyrification index and corresponding resting-state functional connectivity in individuals with high test anxiety publication-title: Biol Psychol. doi: 10.1016/j.biopsycho.2022.108409 – volume: 37 start-page: 1462 year: 2016 ident: B1 article-title: A diffusion tensor imaging study on white matter abnormalities in patients with type 2 diabetes using tract-based spatial statistics publication-title: AJNR Am J Neuroradiol. doi: 10.3174/ajnr.A4740 – volume: 92 start-page: e823 year: 2019 ident: B6 article-title: Alzheimer's Disease Neuroimaging Initiative (ADNI). Type 2 diabetes mellitus. brain atrophy, and cognitive decline publication-title: Neurology. doi: 10.1212/WNL.0000000000006955 – volume: 2 start-page: 499 year: 2007 ident: B18 article-title: Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics publication-title: Nat Protoc. doi: 10.1038/nprot.2007.45 – volume: 59 start-page: 3548 year: 2011 ident: B24 article-title: Functional connectivity mapping of the human precuneus by resting state fMRI publication-title: Neuroimage. doi: 10.1016/j.neuroimage.11023 – volume: 129 start-page: 564 year: 2006 ident: B25 article-title: The precuneus: a review of its functional anatomy and behavioural correlates publication-title: Brain. doi: 10.1093/brain/awl004 – volume: 22 start-page: 275 year: 2014 ident: B10 article-title: Cortical thinning in type 2 diabetes mellitus and recovering effects of insulin therapy publication-title: J Clin Neurosci. doi: 10.1016/j.jocn.07014 – volume: 75 start-page: 1289 year: 2020 ident: B28 article-title: Cumulative blood pressure exposure, basal ganglia, and thalamic morphology in midlife publication-title: Hypertension. doi: 10.1161/HYPERTENSIONAHA.120.14678 – volume: 13 start-page: 693890 year: 2021 ident: B21 article-title: Abnormalities of brain white matter in type 2 diabetes mellitus: a meta-analysis of diffusion tensor imaging publication-title: Front Aging Neurosci. doi: 10.3389/fnagi.2021.693890 – volume: 24 start-page: 101945 year: 2019 ident: B3 article-title: White matter impairment in type 2 diabetes mellitus with and without microvascular disease publication-title: Neuroimage Clin. doi: 10.1016/j.nicl.2019.101945 – volume: 299 start-page: 126 year: 2010 ident: B15 article-title: Cerebral cortical thickness in patients with type 2 diabetes publication-title: J. Neurol. Sci doi: 10.1016/j.jns.08048 – volume: 36 start-page: S67 year: 2013 ident: B17 article-title: Diagnosis and classification of diabetes mellitus publication-title: Diabetes. Care doi: 10.2337/dc13-S067 – volume: 83 start-page: e23264 year: 2021 ident: B27 article-title: Age- and cognition-related differences in the gray matter volume of the chimpanzee brain (Pan troglodytes): a voxel-based morphometry and conjunction analysis publication-title: Am J Primatol. doi: 10.1002/ajp.23264 – volume: 73 start-page: 123 year: 2017 ident: B5 article-title: Diabetes and cognitive decline in older adults: the ginkgo evaluation of memory study publication-title: J Gerontol A Biol Sci Med Sci. doi: 10.1093/gerona/glx076 – volume: 16 start-page: 574 year: 2022 ident: B23 article-title: Anatomy and white-matter connections of the precuneus publication-title: Brain Imaging Behav. doi: 10.1007/s11682-021-00529-1 – volume: 34 start-page: 932 year: 2014 ident: B26 article-title: Precuneus is a functional core of the default-mode network publication-title: J Neurosci. doi: 10.1523/JNEUROSCI.4227-13.2014 – volume: 62 start-page: 255 year: 2021 ident: B20 article-title: Comparison of automated brain volume measures by neuroquant vs freesurfer in patients with mild cognitive impairment: effect of slice thickness publication-title: Yonsei Med J. doi: 10.3349/ymj.62,3.255 – volume: 55 start-page: 100782 year: 2019 ident: B7 article-title: Brain microstructural abnormalities in type 2 diabetes mellitus: a systematic review of diffusion tensor imaging studies publication-title: Front Neuroendocrinol. doi: 10.1016/j.yfrne.2019.100782 – volume: 20 start-page: 327 year: 2022 ident: B14 article-title: DTI Atlases Evaluations publication-title: Neuroinformatics. doi: 10.1007/s12021-021-09521-y – volume: 562 start-page: 1 year: 2014 ident: B11 article-title: Gray matter volume abnormalities in type 2 diabetes mellitus with and without mild cognitive impairment publication-title: Neurosci Lett doi: 10.1016/jneulet01 – volume: 6 start-page: 32980 year: 2016 ident: B12 article-title: Altered intranetwork and internetwork functional connectivity in type 2 diabetes mellitus with and without cognitive impairment publication-title: Sci Rep. doi: 10.1038/srep32980 |
SSID | ssj0000399363 |
Score | 2.3166142 |
Snippet | Brain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship with... IntroductionBrain structure and function changes are considered major brain damages in type 2 diabetes mellitus (T2DM), which likely has a close relationship... |
SourceID | doaj pubmedcentral proquest pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 1115634 |
SubjectTerms | cortex diffusion tenser imaging FreeSurfer Neurology type 2 diabetes mellitus white matter |
SummonAdditionalLinks | – databaseName: DOAJ Open Access Full Text dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Li9RAEG5kD-JFfDu-KMHDLhI36Xe8ueqyCuPFXdhb6CQVncMkkkkO_iT_pVWdzDAjghdvoTvQTX_VXY-u_kqIV1UjdVnlNqlzh3zNWCV5nVZJqUvnGlNnvuR4x_KLvbjSn6_N9V6pL84Jm-iBp4U7LUvmlNM6Vz7oRoWylkGmJqBMnUSPfPqSzttzpuIZzHrXqumVDHlh-WnD_JBvuFg4nxLGKn2giSJh_9-szD-TJfe0z_kdcXs2G-HdNN274ga298TN5Xwxfl_8WnJiXQKhrWEd-HN60buBVQvIJMYJmYHfEDjkChK2IVdYMyHnMG6AA7LdOMAunwj4AeWq5-jhWwjAlVRGDq0B57x3PXXHAkdw_OHy00kceDP2TagwYc1I0-gIwm6NQ_8Tjr-eLU8gUtk-EFfnHy_fXyRzFYak0jIdkuAbZ8kpy5QjU0Bilgabu2AxrZjszzPDmCOnJdhGIl8yBtMQZjU1oVJ0oD4UR23X4mMBlXbe6KBVlStd-9zXtvRICKNFUytciNdbRIofE9lGQU4K41dE_ArGr5jxW4gzBm33JxNlxwYSn2IWn-Jf4rMQL7eQF7Sx-LYktNiNm4L0dhZf9pqFeDSJwG4oRU6YcUouhD8QjoO5HPa0q--RvDtLFTmJ1jz5H7N_Km7xisT0YfNMHA39iM_JSBrKF3E__AajGRGi priority: 102 providerName: Directory of Open Access Journals |
Title | Micro- and macro-changes in early-stage type 2 diabetes mellitus without cognitive impairment: a diffusion tensor imaging (DTI) and surface-based morphometry (SBM) study |
URI | https://www.ncbi.nlm.nih.gov/pubmed/37475732 https://www.proquest.com/docview/2841028255 https://pubmed.ncbi.nlm.nih.gov/PMC10354865 https://doaj.org/article/bb371444938a4f3abd2a205ae2072e8e |
Volume | 14 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9UwFA9zgvgizq9ddSOCDxvS2ea7gyFOHVOoL-7C3krSpvOCt9V-gPuT_C89J-29eGW--FbSpgn5JTkfOfkdQl4WFROuSFVUptrjMWMRpWVcRE44rStZJsahvyP7rM7n4tOlvNwiq3RH0wB2N5p2mE9q3n47-vnj-g0s-BO0OEHevq6Q-vEI84DjBiAVF7fIbZBMGlM5ZJO6H3ZmlMaKj3dn_lF1Qz4FGv-bdM-_Qyj_kEln98m9SZmkb0f0d8iWrx-QO9l0XP6Q_Mow3C6iti7p0uLjeM-3o4uaeqQ2jkA5vPIUHbGU0ZUjli6RprMfOopu2mbo6TrKiOK1ykWLPsVjainmVxnQ4UYxEr5p4XVIe0QP3l98PAwNd0Nb2cJHKC-hGw0A2yx9317Tgy-n2SENBLePyPzsw8W782jKzRAVgsV9ZE2lFZhqCdegIDCfxFal2iofF0gBaJB3TIMpY1XFPB49Wlk5rkso8pzDNvuYbNdN7XcJLYQ2UljBi5SL0qSmVM5457hXXpbcz8irFSL595GCIwfTBfHLA3454pdP-M3IKYK2_hLps0NB017l02rM4efQSyFSbqyouHUlsyyW1rNYM2-gyRcryHNYbniGYmvfDF0O0jwJ933ljDwZp8C6KQ6mmdSczYjZmBwbfdl8Uy--BkrvJOZgOir59P-rPiN3cRxCKLF8Trb7dvB7oDD1bj84GvbDWvgNJ0MaAw |
linkProvider | Scholars Portal |
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=Micro-+and+macro-changes+in+early-stage+type+2+diabetes+mellitus+without+cognitive+impairment%3A+a+diffusion+tensor+imaging+%28DTI%29+and+surface-based+morphometry+%28SBM%29+study&rft.jtitle=Frontiers+in+neurology&rft.au=Tang%2C+Xiangyong&rft.au=Chen%2C+Yanzi&rft.au=Tan%2C+Hui&rft.au=Fang%2C+Jinzhi&rft.date=2023-07-05&rft.pub=Frontiers+Media+S.A&rft.eissn=1664-2295&rft.volume=14&rft_id=info:doi/10.3389%2Ffneur.2023.1115634&rft.externalDocID=PMC10354865 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-2295&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-2295&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-2295&client=summon |