Simone Reppermund, PhD, Lin Zhuang, PhD, Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney; Wei Wen, PhD, Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales and Neuropsychiatric Institute, Prince of Wales Hospital, Sydney; Melissa J. Slavin, PhD, Centre for Healthy Brain Ageing and Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney; Julian N. Trollor, MD, Centre for Healthy Brain Ageing and Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney; Henry Brodaty, MD, DSc, Centre for Healthy Brain Ageing and Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales and Aged Care Psychiatry, Prince of Wales Hospital, Sydney; Perminder S. Sachdev, MD, PhD, Centre for Healthy Brain Ageing and Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney and Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia.
Br J Psychiatry. 2014 Oct;205(4):315-20. doi: 10.1192/bjp.bp.113.142109. Epub 2014 Aug 21.
Late-life depression has been associated with white matter changes in studies using the regions of interest approach.
To investigate the cross-sectional and longitudinal relationship between white matter integrity and depression in community-dwelling individuals using diffusion tensor imaging with tract-based spatial statistics.
The sample comprised 381 participants aged between 72 and 92 years who were assessed twice within 2 years. Depressive symptoms were measured with the Geriatric Depression Scale. Tract-based spatial statistics were applied to investigate white matter integrity in currently depressed v. non-depressed elderly people and in those with a history of depression v. no history of depression. The relationship between white matter integrity and development of depressive symptoms after 2 years were analysed with logistic regression.
Individuals with current depression had widespread white matter integrity reduction compared with non-depressed elderly people. Significant fractional anisotropy reductions were found in 45 brain areas with the most notable findings in the frontal lobe, association and projection fibres. A history of depression was not associated with reduced fractional anisotropy. White matter changes in the superior frontal gyrus, posterior thalamic radiation, superior longitudinal fasciculus and in the body of corpus callosum predicted depression at follow-up.
Reduced white matter integrity is associated with late-life depression and predicts future depressive symptoms whereas a history of depression is not related to white matter changes. Disruption to white matter integrity may be a biomarker to predict late-life depression.
在使用感兴趣区域方法的研究中,老年期抑郁症与白质变化有关。
使用基于束的空间统计学的弥散张量成像来研究社区居住者的白质完整性与抑郁之间的横断面和纵向关系。
该样本包括 381 名年龄在 72 至 92 岁之间的参与者,他们在 2 年内接受了两次评估。使用老年抑郁量表评估抑郁症状。基于束的空间统计学用于调查目前抑郁的老年患者与非抑郁的老年患者之间,以及有抑郁史的患者与无抑郁史的患者之间的白质完整性。使用逻辑回归分析 2 年后白质完整性与抑郁症状发展之间的关系。
与非抑郁的老年人相比,目前患有抑郁症的个体的白质完整性普遍降低。在 45 个大脑区域发现了显著的各向异性分数降低,最明显的发现是在额叶、联合和投射纤维中。有抑郁史与各向异性分数降低无关。额上回、后丘脑辐射、上纵束和胼胝体体部的白质变化可预测随访时的抑郁。
白质完整性降低与老年期抑郁症有关,并预测未来的抑郁症状,而抑郁史与白质变化无关。白质完整性的破坏可能是预测老年期抑郁症的生物标志物。