Multi-atlas thalamic nuclei segmentation on standard T1-weighed MRI with application to normal aging.
T1-weighted MRI
aging
thalamic nuclei segmentation
thalamus
white matter nulled MRI
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 02 2023
01 02 2023
Historique:
revised:
15
08
2022
received:
12
07
2022
accepted:
01
09
2022
pubmed:
2
10
2022
medline:
19
1
2023
entrez:
1
10
2022
Statut:
ppublish
Résumé
Specific thalamic nuclei are implicated in healthy aging and age-related neurodegenerative diseases. However, few methods are available for robust automated segmentation of thalamic nuclei. The threefold aims of this study were to validate the use of a modified thalamic nuclei segmentation method on standard T1 MRI data, to apply this method to quantify age-related volume declines, and to test functional meaningfulness by predicting performance on motor testing. A modified version of THalamus Optimized Multi-Atlas Segmentation (THOMAS) generated 22 unilateral thalamic nuclei. For validation, we compared nuclear volumes obtained from THOMAS parcellation of white-matter-nulled (WMn) MRI data to T1 MRI data in 45 participants. To examine the effects of age/sex on thalamic nuclear volumes, T1 MRI available from a second data set of 121 men and 117 women, ages 20-86 years, were segmented using THOMAS. To test for functional ramifications, composite regions and constituent nuclei were correlated with Grooved Pegboard test scores. THOMAS on standard T1 data showed significant quantitative agreement with THOMAS from WMn data, especially for larger nuclei. Sex differences revealing larger volumes in men than women were accounted for by adjustment with supratentorial intracranial volume (sICV). Significant sICV-adjusted correlations between age and thalamic nuclear volumes were detected in 20 of the 22 unilateral nuclei and whole thalamus. Composite Posterior and Ventral regions and Ventral Anterior/Pulvinar nuclei correlated selectively with higher scores from the eye-hand coordination task. These results support the use of THOMAS for standard T1-weighted data as adequately robust for thalamic nuclear parcellation.
Identifiants
pubmed: 36181510
doi: 10.1002/hbm.26088
pmc: PMC9842912
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
612-628Subventions
Organisme : NIAAA NIH HHS
ID : R01 AA010723
Pays : United States
Informations de copyright
© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
Références
Neurobiol Aging. 2005 Oct;26(9):1261-70; discussion 1275-8
pubmed: 16005549
Nat Rev Neurol. 2011 May;7(5):284-94
pubmed: 21487421
Brain Struct Funct. 2020 Jun;225(5):1631-1642
pubmed: 32440784
Neuroinformatics. 2022 Jul;20(3):651-664
pubmed: 34626333
J Neurosurg. 2021 Oct 8;:1-10
pubmed: 34624856
Neurosci Biobehav Rev. 2021 Sep;128:487-510
pubmed: 34216654
Neurosci Biobehav Rev. 2015 Jul;54:29-37
pubmed: 25862940
Brain. 2000 Jan;123 ( Pt 1):141-54
pubmed: 10611128
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Oct;3(10):844-859
pubmed: 30093343
Handb Clin Neurol. 2014;125:175-81
pubmed: 25307575
Neurosci Biobehav Rev. 2021 Nov;130:292-300
pubmed: 34454914
Heliyon. 2020 Aug 18;6(8):e04728
pubmed: 32904672
Neurosci Biobehav Rev. 2021 Dec;131:466-478
pubmed: 34587501
Neuroimage. 2000 Dec;12(6):601-16
pubmed: 11112393
Neuroimage. 2019 Jul 1;194:272-282
pubmed: 30894331
Magn Reson Med. 2015 May;73(5):1786-94
pubmed: 24889754
Neuroimage. 2013 Jan 15;65:176-93
pubmed: 23063452
Neuron. 2019 Sep 4;103(5):762-770
pubmed: 31487527
Neuroimage. 2018 May 1;171:176-189
pubmed: 29325780
Front Behav Neurosci. 2021 Mar 01;15:633872
pubmed: 33732119
Cereb Cortex. 2021 Jul 5;31(8):3856-3871
pubmed: 33825852
Neuroimage. 2012 Nov 15;63(3):1134-42
pubmed: 22846656
Neurobiol Aging. 2001 Jul-Aug;22(4):581-94
pubmed: 11445259
Hum Brain Mapp. 2015 Jul;36(7):2809-25
pubmed: 25873194
Radiology. 2020 Mar;294(3):676-685
pubmed: 31909701
Sci Data. 2018 Nov 27;5:180270
pubmed: 30480664
Neuroimage. 2013 Oct 15;80:62-79
pubmed: 23684880
J Neurophysiol. 2008 Oct;100(4):1740-8
pubmed: 18701759
Brain. 2016 Jul;139(Pt 7):1877-90
pubmed: 27190025
Neuroimage. 2018 Dec;183:314-326
pubmed: 30121337
Int J Mol Sci. 2021 May 07;22(9):
pubmed: 34067023
Cereb Cortex. 2005 Nov;15(11):1676-89
pubmed: 15703252
Hum Brain Mapp. 2019 Dec 15;40(18):5269-5288
pubmed: 31452289
Alzheimers Dement. 2010 May;6(3):212-20
pubmed: 20451869
J Neurosurg. 2021 Oct 1;:1-7
pubmed: 34598140
Cortex. 2015 Apr;65:128-38
pubmed: 25682047
Nat Commun. 2020 Nov 26;11(1):6007
pubmed: 33243980
Hum Brain Mapp. 2020 Apr 1;41(5):1351-1361
pubmed: 31785046
Cortex. 2021 Dec;145:37-56
pubmed: 34689031
Cortex. 2014 Oct;59:12-21
pubmed: 25113955
Brain. 2019 May 1;142(5):1458-1470
pubmed: 30879030
JAMA Psychiatry. 2018 May 1;75(5):474-483
pubmed: 29541774
J Comp Neurol. 2022 Aug;530(11):1992-2013
pubmed: 35383929
Cell. 2022 Mar 17;185(6):1065-1081.e23
pubmed: 35245431
Biol Psychiatry. 2012 Sep 1;72(5):361-70
pubmed: 22458948
Neurobiol Aging. 2013 Oct;34(10):2239-47
pubmed: 23643484
Neuroimage. 2017 Feb 15;147:678-691
pubmed: 28041978
Hum Brain Mapp. 2023 Feb 1;44(2):612-628
pubmed: 36181510
Cereb Cortex. 2016 Oct;26(10):4101-21
pubmed: 26408800
Neurobiol Aging. 2020 Jun;90:84-92
pubmed: 32147244
Magn Reson Imaging. 2019 Jun;59:143-152
pubmed: 30880111
Magn Reson Imaging. 2020 Jan;65:114-128
pubmed: 31629074
Neurosci Biobehav Rev. 2021 Jun;125:231-243
pubmed: 33662442
Sci Data. 2021 Oct 28;8(1):275
pubmed: 34711852
eNeuro. 2022 Feb 2;9(1):
pubmed: 35045976
Alzheimers Res Ther. 2014 Nov 10;6(9):74
pubmed: 25478032
J Alzheimers Dis. 2021;82(1):361-371
pubmed: 34024824
Hum Brain Mapp. 2022 Jan;43(1):452-469
pubmed: 33570244
J Stud Alcohol Drugs. 2015 Nov;76(6):895-908
pubmed: 26562597