Differences in structural covariance brain networks between behavioral variant frontotemporal dementia and Alzheimer's disease. Issue 3 (10th December 2015)
- Record Type:
- Journal Article
- Title:
- Differences in structural covariance brain networks between behavioral variant frontotemporal dementia and Alzheimer's disease. Issue 3 (10th December 2015)
- Main Title:
- Differences in structural covariance brain networks between behavioral variant frontotemporal dementia and Alzheimer's disease
- Authors:
- Hafkemeijer, Anne
Möller, Christiane
Dopper, Elise G. P.
Jiskoot, Lize C.
van den Berg‐Huysmans, Annette A.
van Swieten, John C.
van der Flier, Wiesje M.
Vrenken, Hugo
Pijnenburg, Yolande A. L.
Barkhof, Frederik
Scheltens, Philip
van der Grond, Jeroen
Rombouts, Serge A. R. B. - Abstract:
- Abstract: Disease‐specific patterns of gray matter atrophy in Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) overlap with distinct structural covariance networks (SCNs) in cognitively healthy controls. This suggests that both types of dementia target specific structural networks. Here, we study SCNs in AD and bvFTD. We used structural magnetic resonance imaging data of 31 AD patients, 24 bvFTD patients, and 30 controls from two centers specialized in dementia. Ten SCNs were defined based on structural covariance of gray matter density using independent component analysis. We studied group differences in SCNs using F‐tests, with Bonferroni corrected t‐tests, adjusted for age, gender, and study center. Associations with cognitive performance were studied using linear regression analyses. Cross‐sectional group differences were found in three SCNs (all P < 0.0025). In bvFTD, we observed decreased anterior cingulate network integrity compared with AD and controls. Patients with AD showed decreased precuneal network integrity compared with bvFTD and controls, and decreased hippocampal network and anterior cingulate network integrity compared with controls. In AD, we found an association between precuneal network integrity and global cognitive performance ( P = 0.0043). Our findings show that AD and bvFTD target different SCNs. The comparison of both types of dementia showed decreased precuneal (i.e., default mode) network integrity in AD andAbstract: Disease‐specific patterns of gray matter atrophy in Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) overlap with distinct structural covariance networks (SCNs) in cognitively healthy controls. This suggests that both types of dementia target specific structural networks. Here, we study SCNs in AD and bvFTD. We used structural magnetic resonance imaging data of 31 AD patients, 24 bvFTD patients, and 30 controls from two centers specialized in dementia. Ten SCNs were defined based on structural covariance of gray matter density using independent component analysis. We studied group differences in SCNs using F‐tests, with Bonferroni corrected t‐tests, adjusted for age, gender, and study center. Associations with cognitive performance were studied using linear regression analyses. Cross‐sectional group differences were found in three SCNs (all P < 0.0025). In bvFTD, we observed decreased anterior cingulate network integrity compared with AD and controls. Patients with AD showed decreased precuneal network integrity compared with bvFTD and controls, and decreased hippocampal network and anterior cingulate network integrity compared with controls. In AD, we found an association between precuneal network integrity and global cognitive performance ( P = 0.0043). Our findings show that AD and bvFTD target different SCNs. The comparison of both types of dementia showed decreased precuneal (i.e., default mode) network integrity in AD and decreased anterior cingulate (i.e., salience) network integrity in bvFTD. This confirms the hypothesis that AD and bvFTD have distinct anatomical networks of degeneration and shows that structural covariance gives valuable insights in the understanding of network pathology in dementia. Hum Brain Mapp 37:978–988, 2016 . © 2015 Wiley Periodicals, Inc . … (more)
- Is Part Of:
- Human brain mapping. Volume 37:Issue 3(2016:Mar.)
- Journal:
- Human brain mapping
- Issue:
- Volume 37:Issue 3(2016:Mar.)
- Issue Display:
- Volume 37, Issue 3 (2016)
- Year:
- 2016
- Volume:
- 37
- Issue:
- 3
- Issue Sort Value:
- 2016-0037-0003-0000
- Page Start:
- 978
- Page End:
- 988
- Publication Date:
- 2015-12-10
- Subjects:
- AD -- frontotemporal lobar degeneration -- gray matter -- independent component analysis -- magnetic resonance imaging -- SCN -- T1 weighted
Brain mapping -- Periodicals
611.81 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hbm.23081 ↗
- Languages:
- English
- ISSNs:
- 1065-9471
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.031000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 21993.xml