The relationship between chronic PTSD, cortical volumetry and white matter microstructure among Australian combat veterans.
Diffusion tensor imaging
Fractional anisotropy
Magnetic resonance imaging (MRI)
Posttraumatic stress disorder (PTSD)
Veterans
Journal
Military Medical Research
ISSN: 2054-9369
Titre abrégé: Mil Med Res
Pays: England
ID NLM: 101643181
Informations de publication
Date de publication:
16 09 2022
16 09 2022
Historique:
received:
02
02
2022
accepted:
30
08
2022
entrez:
16
9
2022
pubmed:
17
9
2022
medline:
21
9
2022
Statut:
epublish
Résumé
Posttraumatic stress disorder (PTSD) has been associated with volumetric and white matter microstructural changes among general and veteran populations. However, regions implicated have greatly varied and often conflict between studies, potentially due to confounding comorbidities within samples. This study compared grey matter volume and white matter microstructure among Australian combat veterans with and without a lifetime diagnosis of PTSD, in a homogenous sample assessed for known confounding comorbidities. Sixty-eight male trauma-exposed veterans (16 PTSD-diagnosed; mean age 69 years) completed a battery of psychometric assessments and underwent magnetic resonance and diffusion tensor imaging. Analyses included tract-based spatial statistics, voxel-wise analyses, diffusion connectome-based group-wise analysis, and volumetric analysis. Significantly smaller grey matter volumes were observed in the left prefrontal cortex (P = 0.026), bilateral middle frontal gyrus (P = 0.021), and left anterior insula (P = 0.048) in the PTSD group compared to controls. Significant negative correlations were found between PTSD symptom severity and fractional anisotropy values in the left corticospinal tract (R Findings from this study reinforce reports of white matter alterations, as indicated by reduced fractional anisotropy values, in relation to PTSD symptom severity, as well as patterns of reduced volume in the prefrontal cortex. These results contribute to the developing profile of neuroanatomical differences uniquely attributable to veterans who suffer from chronic PTSD.
Sections du résumé
BACKGROUND
Posttraumatic stress disorder (PTSD) has been associated with volumetric and white matter microstructural changes among general and veteran populations. However, regions implicated have greatly varied and often conflict between studies, potentially due to confounding comorbidities within samples. This study compared grey matter volume and white matter microstructure among Australian combat veterans with and without a lifetime diagnosis of PTSD, in a homogenous sample assessed for known confounding comorbidities.
METHODS
Sixty-eight male trauma-exposed veterans (16 PTSD-diagnosed; mean age 69 years) completed a battery of psychometric assessments and underwent magnetic resonance and diffusion tensor imaging. Analyses included tract-based spatial statistics, voxel-wise analyses, diffusion connectome-based group-wise analysis, and volumetric analysis.
RESULTS
Significantly smaller grey matter volumes were observed in the left prefrontal cortex (P = 0.026), bilateral middle frontal gyrus (P = 0.021), and left anterior insula (P = 0.048) in the PTSD group compared to controls. Significant negative correlations were found between PTSD symptom severity and fractional anisotropy values in the left corticospinal tract (R
CONCLUSIONS
Findings from this study reinforce reports of white matter alterations, as indicated by reduced fractional anisotropy values, in relation to PTSD symptom severity, as well as patterns of reduced volume in the prefrontal cortex. These results contribute to the developing profile of neuroanatomical differences uniquely attributable to veterans who suffer from chronic PTSD.
Identifiants
pubmed: 36114591
doi: 10.1186/s40779-022-00413-z
pii: 10.1186/s40779-022-00413-z
pmc: PMC9482182
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
50Informations de copyright
© 2022. The Author(s).
Références
Psychiatry Res. 2009 Aug 30;173(2):121-7
pubmed: 19559575
Neuroimage. 2009 Jan 1;44(1):83-98
pubmed: 18501637
Neuropsychopharmacology. 2015 Sep;40(10):2434-42
pubmed: 25837284
Hum Brain Mapp. 2015 Mar;36(3):1053-64
pubmed: 25387950
Am J Psychiatry. 1999 Apr;156(4):575-84
pubmed: 10200737
Neuroimage. 2010 Jan 15;49(2):1316-25
pubmed: 19815080
Depress Anxiety. 2001;13(3):132-56
pubmed: 11387733
Neuropsychopharmacology. 2012 Nov;37(12):2740-6
pubmed: 22871912
Depress Anxiety. 2013 Mar;30(3):207-16
pubmed: 23319445
Psychiatry Res. 2006 Jan 30;146(1):65-72
pubmed: 16371250
Depress Anxiety. 2017 May;34(5):410-418
pubmed: 28294478
Neuroimage. 2006 Feb 1;29(3):1007-12
pubmed: 16246595
Neuroimage. 2008 Apr 1;40(2):570-582
pubmed: 18255316
Addiction. 1993 Jun;88(6):791-804
pubmed: 8329970
Eur J Psychotraumatol. 2021 Aug 6;12(1):1929025
pubmed: 34394855
IEEE Trans Med Imaging. 1999 Oct;18(10):897-908
pubmed: 10628949
Psychiatry Res. 2012 Aug-Sep;203(2-3):139-45
pubmed: 23021615
J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57
pubmed: 9881538
Hum Brain Mapp. 2019 Jun 15;40(9):2581-2595
pubmed: 30779256
Psychoneuroendocrinology. 2015 Jan;51:567-76
pubmed: 25465169
Int J Epidemiol. 1996 Apr;25(2):331-40
pubmed: 9119558
Neuroimage. 2010 Dec;53(4):1197-207
pubmed: 20600983
Behav Brain Res. 2014 Aug 15;270:307-15
pubmed: 24859173
Neuroimage Clin. 2016 Sep 28;12:1022-1034
pubmed: 27995068
Psychiatry Res. 2013 Dec 30;214(3):260-8
pubmed: 24074963
Eur J Psychotraumatol. 2020 Mar 09;11(1):1709709
pubmed: 32284816
Biol Psychiatry. 2002 Aug 15;52(4):305-11
pubmed: 12208637
J Trauma Stress. 2017 Feb;30(1):27-35
pubmed: 28103407
J Alcohol Drug Depend. 2014 Jan 1;2(1):144
pubmed: 24855633
N Engl J Med. 2017 Jun 22;376(25):2459-2469
pubmed: 28636846
Trends Cogn Sci. 2011 Feb;15(2):85-93
pubmed: 21167765
Neuroimage. 2006 Jul 15;31(4):1487-505
pubmed: 16624579
Neuroimage. 2012 Aug 15;62(2):782-90
pubmed: 21979382
Neuroimage Clin. 2020;28:102424
pubmed: 32977211
Hum Brain Mapp. 2018 Mar;39(3):1327-1338
pubmed: 29265681
Neuroimage. 2012 Sep;62(3):1924-38
pubmed: 22705374
Am J Psychiatry. 2018 Oct 1;175(10):989-998
pubmed: 30021460
Neuroimage. 2011 Jan;54 Suppl 1:S62-8
pubmed: 20483375
Neuroimage. 2013 Feb 15;67:298-312
pubmed: 23238430
J Am Geriatr Soc. 2005 Apr;53(4):695-9
pubmed: 15817019
J Affect Disord. 2016 Jan 15;190:714-722
pubmed: 26600413
Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jan 10;88:287-302
pubmed: 30118825
IEEE Trans Med Imaging. 2010 Jun;29(6):1310-20
pubmed: 20378467
Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Apr;5(4):392-402
pubmed: 32115373
Neuroimage. 2009 Oct 15;48(1):63-72
pubmed: 19573611
Curr Psychiatry Rep. 2017 Feb;19(2):10
pubmed: 28168596
Brain Imaging Behav. 2018 Aug;12(4):989-999
pubmed: 28823023
Mol Psychiatry. 2021 Aug;26(8):4315-4330
pubmed: 31857689
Hum Brain Mapp. 2016 Feb;37(2):589-99
pubmed: 26536845
Curr Opin Neurol. 2006 Dec;19(6):599-606
pubmed: 17102700
Neuroimage Clin. 2018 May 16;19:581-598
pubmed: 29984166
Psychiatry Res Neuroimaging. 2016 Oct 30;256:33-43
pubmed: 27669407