Multimodal MRI markers support a model of small vessel ischemia for depressive symptoms in very old adults

In older adults, depressive symptoms are associated with lower quality of life, high morbidity and mortality. This study aims to identify brain magnetic resonance imaging (MRI) features associated with late-life depressive symptoms in the population. Older community-dwelling adults (n=314) from the Health ABC study underwent brain MRI. Logistic regression was used to characterize the relationships between depressive symptoms (Center for Epidemiologic Studies of Depression scale, CES-D) and the following whole-brain variables: white matter hyperintensity (WMH) burden, fractional anisotropy (FA), and gray matter volume (GMV). Analyses examining possible regional differences between the CES-D groups controlled for Modified Mini-Mental State Examination score and diabetes status. The relative importance of localization of the markers was examined by comparing the distribution of significant peaks across the brain. Each whole-brain variable showed loss of integrity associated with high CES-D. For GMV, the odds ratio (OR)=0.84 (95% confidence interval (CI) 0.74, 0.96); for FA, OR=0.714 (95% CI 0.57, 0.88); for WMH, OR=1.89 (95%CI 1.33, 2.69). Voxel-wise analyses and patterns of peak significance showed non-specific patterns for white matter measures. Loss of GMV was most significant in the bilateral insula and anterior cingulate cortex. This study supports a cerebrovascular pattern for depressive symptoms in older adults. The localization of gray matter changes to the insula, a watershed area and a hub of affective circuits, suggests an etiological pathway from ischemia to increased depressive burden.

[1]  Vijay K. Venkatraman,et al.  Lower Digit Symbol Substitution Score in the Oldest Old is Related to Magnetization Transfer and Diffusion Tensor Imaging of the White Matter , 2011, Front. Ag. Neurosci..

[2]  S. Wakana,et al.  MRI Atlas of Human White Matter , 2005 .

[3]  David C. Steffens,et al.  A twin study of late-onset depression and apolipoprotein E ε4 as risk factors for alzheimer's disease , 1997, Biological Psychiatry.

[4]  Peter A. Calabresi,et al.  Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification , 2008, NeuroImage.

[5]  D. Harvey,et al.  Anatomical Mapping of White Matter Hyperintensities (WMH): Exploring the Relationships Between Periventricular WMH, Deep WMH, and Total WMH Burden , 2005, Stroke.

[6]  Daniella J. Furman,et al.  Functional neuroimaging of major depressive disorder: a meta-analysis and new integration of base line activation and neural response data. , 2012, The American journal of psychiatry.

[7]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[8]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[9]  Minjie Wu,et al.  Gray Matter Changes in Late Life Depression—a Structural MRI Analysis , 2008, Neuropsychopharmacology.

[10]  Timothy Edward John Behrens,et al.  Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. , 2007, Brain : a journal of neurology.

[11]  D. Blazer,et al.  Toward a threshold for subthreshold depression: an analysis of correlates of depression by severity of symptoms using data from an elderly community sample. , 2001, The Gerontologist.

[12]  Stephen M. Smith,et al.  Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.

[13]  J. W. Papez A proposed mechanism of emotion. 1937. , 1995, The Journal of neuropsychiatry and clinical neurosciences.

[14]  J. Csernansky,et al.  Hippocampal atrophy in recurrent major depression. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[16]  G. Rizzolatti,et al.  Both of Us Disgusted in My Insula The Common Neural Basis of Seeing and Feeling Disgust , 2003, Neuron.

[17]  Deanna M Barch,et al.  Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors. , 2008, The American journal of psychiatry.

[18]  James T Becker,et al.  Brain morphometric abnormalities in geriatric depression: long-term neurobiological effects of illness duration. , 2002, The American journal of psychiatry.

[19]  C. Keysers,et al.  A Common Anterior Insula Representation of Disgust Observation, Experience and Imagination Shows Divergent Functional Connectivity Pathways , 2008, PloS one.

[20]  L. Radloff The CES-D Scale , 1977 .

[21]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[22]  Abraham Z. Snyder,et al.  Diffuse Microstructural Abnormalities of Normal-Appearing White Matter in Late Life Depression: A Diffusion Tensor Imaging Study , 2009, Biological Psychiatry.

[23]  M. Milders,et al.  The insular cortex and the neuroanatomy of major depression. , 2011, Journal of affective disorders.

[24]  A. Agresti An introduction to categorical data analysis , 1997 .

[25]  Anand R. Kumar,et al.  Clinically significant non-major depression: old concepts, new insights. , 2002, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[26]  Papez Jw A proposed mechanism of emotion. 1937. , 1995 .

[27]  C. Reynolds,et al.  A fully automated method for quantifying and localizing white matter hyperintensities on MR images , 2006, Psychiatry Research: Neuroimaging.

[28]  D. Blazer Depression in late life: review and commentary. , 2003, The journals of gerontology. Series A, Biological sciences and medical sciences.

[29]  A. Aggarwal,et al.  Risk assessment for psychological disorders in postmenopausal women. , 2013, Journal of clinical and diagnostic research : JCDR.

[30]  G. Alexopoulos,et al.  'Vascular depression' hypothesis. , 1997, Archives of general psychiatry.

[31]  D. Barch,et al.  Cognitive Function in Late Life Depression: Relationships to Depression Severity, Cerebrovascular Risk Factors and Processing Speed , 2006, Biological Psychiatry.

[32]  S. Wakana,et al.  Fiber tract-based atlas of human white matter anatomy. , 2004, Radiology.

[33]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[34]  J. Coyne,et al.  The relationship of self-reported distress to depressive disorders and other psychopathology. , 1994, Journal of consulting and clinical psychology.

[35]  S. Rauch,et al.  Neurobiology of emotion perception II: implications for major psychiatric disorders , 2003, Biological Psychiatry.

[36]  H. Chui,et al.  The Modified Mini-Mental State (3MS) examination. , 1987, The Journal of clinical psychiatry.

[37]  J. W. Papez A PROPOSED MECHANISM OF EMOTION , 1937 .

[38]  A. Toga,et al.  Three-dimensional surface mapping of the caudate nucleus in late-life depression. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[39]  M. Jenkinson Non-linear registration aka Spatial normalisation , 2007 .

[40]  K. Krishnan,et al.  Frontal White Matter Anisotropy and Antidepressant Remission in Late-Life Depression , 2008, PloS one.

[41]  E. Caine,et al.  The Importance of Subsyndromal Depression in Older Primary Care Patients: Prevalence and Associated Functional Disability , 1999, Journal of the American Geriatrics Society.

[42]  Yee Lee Shing,et al.  Aging Neuroscience , 2022 .

[43]  Arthur W Toga,et al.  Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: an MRI-based parcellation of the prefrontal cortex. , 2004, The American journal of psychiatry.