Fornix White Matter is Correlated with Resting-State Functional Connectivity of the Thalamus and Hippocampus in Healthy Aging but Not in Mild Cognitive Impairment - A Preliminary Study.
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Authors
Kehoe, Elizabeth G
Farrell, Dervla
Metzler-Baddeley, Claudia
Lawlor, Brian A
Kenny, Rose Anne
Lyons, Declan
McNulty, Jonathan P
Mullins, Paul G
Coyle, Damien
Bokde, Arun L
Issue Date
2015-02-05
Type
Journal Article
Language
en
Keywords
diffusion MRI , fornix , functional connectivity , hippocampus , mild cognitive impairment (MCI) , thalamus , tractography
Alternative Title
Abstract
In this study, we wished to examine the relationship between the structural connectivity of the fornix, a white matter (WM) tract in the limbic system, which is affected in amnestic mild cognitive impairment (aMCI) and Alzheimer's disease, and the resting-state functional connectivity (FC) of two key related subcortical structures, the thalamus, and hippocampus. Twenty-two older healthy controls (HC) and 18 older adults with aMCI underwent multi-modal MRI scanning. The fornix was reconstructed using constrained-spherical deconvolution-based tractography. The FC between the thalamus and hippocampus was calculated using a region-of-interest approach from which the mean time series were exacted and correlated. Diffusion tensor imaging measures of the WM microstructure of the fornix were correlated against the Fisher Z correlation values from the FC analysis. There was no difference between the groups in the fornix WM measures, nor in the resting-state FC of the thalamus and hippocampus. We did however find that the relationship between functional and structural connectivity differed significantly between the groups. In the HCs, there was a significant positive association between linear diffusion (CL) in the fornix and the FC of the thalamus and hippocampus, however, there was no relationship between these measures in the aMCI group. These preliminary findings suggest that in aMCI, the relationship between the functional and structural connectivity of regions of the limbic system may be significantly altered compared to healthy ageing. The combined use of diffusion weighted imaging and functional MRI may advance our understanding of neural network changes in aMCI, and elucidate subtle changes in the relationship between structural and functional brain networks.
Description
Citation
Kehoe, E. G., Farrell, D., Metzler-Baddeley, C., Lawlor, B. A., Kenny, R. A., Lyons, D., McNulty, J. P., Mullins, P. G., Coyle, D., & Bokde, A. L. (2015). Fornix White Matter is Correlated with Resting-State Functional Connectivity of the Thalamus and Hippocampus in Healthy Aging but Not in Mild Cognitive Impairment - A Preliminary Study. Frontiers in aging neuroscience, 7, 10. https://doi.org/10.3389/fnagi.2015.00010
Publisher
License
Journal
Frontiers in aging neuroscience
Volume
7
Issue
PubMed ID
DOI
10.3389/fnagi.2015.00010
10.1111/j.1460-9568.2010.07251.x
10.1016/s1474-4422(11)70072-2
10.1002/mrm.25226
10.2174/156720511795745294
10.1038/nn1075
10.1002/mrm.10609
10.1016/j.neuroimage.2014.01.031
10.1002/hbm.21320
10.1523/jneurosci.5698-11.2012
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10.1016/j.neuroimage.2008.10.057
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10.1016/j.neuroimage.2005.05.015
10.1016/S0197-4580(97)00001-8
10.1007/s00429-009-0208-6
10.1089/neu.2013.3233
10.1093/brain/awn278
10.1016/j.biopsych.2012.12.024
10.1016/j.nicl.2014.02.010
10.3233/jad-2011-0001
10.3389/fnagi.2014.00106
10.1016/0022-3956(75)90026-6
10.1073/pnas.0308627101
10.1093/cercor/bhn059
10.1385/JMN:20:3:241
10.1073/pnas.0811168106
10.1016/j.neuroimage.2010.01.104
10.1111/j.2044-8260.1995.tb01487.x
10.1016/j.neuroimage.2012.02.054
10.1016/j.jalz.2010.03.004
10.1016/j.neubiorev.2013.03.009
10.1002/hbm.21032
10.3389/fnagi.2012.00001
10.1002/mrm.21890
10.1017/s1355617709990993
10.1016/j.jalz.2014.04.518
10.1371/journal.pone.0059849
10.1212/WNL.0b013e31827689e8
10.1523/jneurosci.3299-12.2012
10.1523/jneurosci.2317-11.2011
10.1016/j.neuroimage.2009.01.054
10.1016/j.neuron.2006.08.012
10.1016/j.neurobiolaging.2006.01.009
10.1016/j.pscychresns.2006.01.005
10.1016/j.jalz.2012.05.2186
10.1111/j.1552-6569.2011.00633.x
10.1002/mrm.22055
10.1111/j.1365-2796.2004.01388.x
10.1001/archneur.56.3.303
10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.3.CO;2-J
10.1159/000082662
10.1371/journal.pone.0044074
10.1007/s00415-010-5872-1
10.1371/journal.pone.0074776
10.1016/j.neuron.2009.03.024
10.1016/j.biopsych.2012.11.028
10.1016/j.neuroimage.2006.06.010
10.1016/j.biopsych.2010.03.035
10.1016/j.neuroimage.2008.07.063
10.1371/journal.pone.0025031
10.1016/j.jalz.2011.03.003
10.1038/nn.3690
10.1148/radiol.2432051714
10.1038/mp.2011.147
10.1073/pnas.0603414103
10.3233/jad-131829
10.1002/mrm.22924
10.1016/j.neuroimage.2008.05.002
10.1523/jneurosci.2964-08.2008
10.1523/jneurosci.2128-13.2013
10.3389/fnagi.2014.00256
10.1016/j.neuroimage.2011.09.086
10.1001/archneur.1991.00530150046016
10.1001/archneur.1992.00530290030008
10.1016/S1361-8415(02)00053-1
10.3389/fnsys.2010.00013
10.1007/s12149-012-0625-0
10.1016/j.neuroimage.2010.03.062
10.1016/j.neuroimage.2009.09.001
10.1371/journal.pone.0066367
10.2174/15672050113109990146
10.1016/j.jalz.2008.04.006
10.1212/WNL.0b013e3182661f4d
10.3233/jad-2012-111766
10.1371/journal.pone.0058887
10.1016/j.neuroimage.2010.05.068
10.1111/j.1460-9568.2010.07251.x
10.1016/s1474-4422(11)70072-2
10.1002/mrm.25226
10.2174/156720511795745294
10.1038/nn1075
10.1002/mrm.10609
10.1016/j.neuroimage.2014.01.031
10.1002/hbm.21320
10.1523/jneurosci.5698-11.2012
10.1093/brain/awn298
10.1016/j.neuroimage.2008.10.057
10.1002/hbm.20819
10.1016/j.neurobiolaging.2008.08.012
10.3233/jad-2010-091186
10.1016/j.neuroimage.2005.05.015
10.1016/S0197-4580(97)00001-8
10.1007/s00429-009-0208-6
10.1089/neu.2013.3233
10.1093/brain/awn278
10.1016/j.biopsych.2012.12.024
10.1016/j.nicl.2014.02.010
10.3233/jad-2011-0001
10.3389/fnagi.2014.00106
10.1016/0022-3956(75)90026-6
10.1073/pnas.0308627101
10.1093/cercor/bhn059
10.1385/JMN:20:3:241
10.1073/pnas.0811168106
10.1016/j.neuroimage.2010.01.104
10.1111/j.2044-8260.1995.tb01487.x
10.1016/j.neuroimage.2012.02.054
10.1016/j.jalz.2010.03.004
10.1016/j.neubiorev.2013.03.009
10.1002/hbm.21032
10.3389/fnagi.2012.00001
10.1002/mrm.21890
10.1017/s1355617709990993
10.1016/j.jalz.2014.04.518
10.1371/journal.pone.0059849
10.1212/WNL.0b013e31827689e8
10.1523/jneurosci.3299-12.2012
10.1523/jneurosci.2317-11.2011
10.1016/j.neuroimage.2009.01.054
10.1016/j.neuron.2006.08.012
10.1016/j.neurobiolaging.2006.01.009
10.1016/j.pscychresns.2006.01.005
10.1016/j.jalz.2012.05.2186
10.1111/j.1552-6569.2011.00633.x
10.1002/mrm.22055
10.1111/j.1365-2796.2004.01388.x
10.1001/archneur.56.3.303
10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.3.CO;2-J
10.1159/000082662
10.1371/journal.pone.0044074
10.1007/s00415-010-5872-1
10.1371/journal.pone.0074776
10.1016/j.neuron.2009.03.024
10.1016/j.biopsych.2012.11.028
10.1016/j.neuroimage.2006.06.010
10.1016/j.biopsych.2010.03.035
10.1016/j.neuroimage.2008.07.063
10.1371/journal.pone.0025031
10.1016/j.jalz.2011.03.003
10.1038/nn.3690
10.1148/radiol.2432051714
10.1038/mp.2011.147
10.1073/pnas.0603414103
10.3233/jad-131829
10.1002/mrm.22924
10.1016/j.neuroimage.2008.05.002
10.1523/jneurosci.2964-08.2008
10.1523/jneurosci.2128-13.2013
10.3389/fnagi.2014.00256
10.1016/j.neuroimage.2011.09.086
10.1001/archneur.1991.00530150046016
10.1001/archneur.1992.00530290030008
10.1016/S1361-8415(02)00053-1
10.3389/fnsys.2010.00013
10.1007/s12149-012-0625-0
10.1016/j.neuroimage.2010.03.062
10.1016/j.neuroimage.2009.09.001
10.1371/journal.pone.0066367
10.2174/15672050113109990146
10.1016/j.jalz.2008.04.006
10.1212/WNL.0b013e3182661f4d
10.3233/jad-2012-111766
10.1371/journal.pone.0058887
10.1016/j.neuroimage.2010.05.068
ISSN
1663-4365