This 3-generation study of families at high and low risk for Major Depressive Disorder (MDD) has documented the strong familial transmission of mood disorders across generations. We have conducted 5 waves of assessments in this cohort over 25 years. In the 5th wave, we added Magnetic Resonance Imaging (MRI) measures and found a remarkably robust association of familial risk for MDD with asymmetries in cortical thickness, with a nearly 30% reduction in thickness observed in the lateral parietal, temporal, and frontal cortices of the right hemisphere of the high risk group. These MRI findings are consistent with EEG findings from the 4th wave of assessments that demonstrated reduced activity over the posterior cortices of the right cerebral hemisphere. Both the MRI and EEG findings were present in high-risk individuals who never had MDD in their lifetimes, suggesting that these abnormalities were not simply a consequence of previously having been depressed or having been treated for depression. Thinning of the cortical mantle and reduced electrophysiological activity in the right hemisphere therefore may constitute related endophenotypes for familial vulnerability to developing MDD. We are proposing a 6th wave of study to gain a deeper understanding of the right hemisphere abnormalities in familial MDD in the 216 individuals imaged thus far. This represents the largest MRI study published for MDD to date, and it is the only sample studying 3 generations of individuals at high or low risk for MDD. We are proposing to collect additional MRI and EEG measures, as well as clinical and cognitive neuroscience data, that will inform us about the neural bases of the right hemisphere thinning and their consequences for brain function and emotional processing. We will also determine whether additional cortical thinning in the left cerebral hemisphere predicts new or recurrent MDD in those people who were imaged in Wave 5. Our cohort has exceptional attributes that will aid our search for detecting MDD endophenotypes, including (1) an elevated clinical risk for developing MDD in the high risk group that has been amply demonstrated;(2) multiple prospective assessments, conducted blind to risk status, provide great confidence in the accuracy of the clinical diagnoses;and (3) the sample contains individuals who have not yet become ill but who are nevertheless at elevated risk of becoming ill, thereby allowing us to disentangle the neurobiological determinants of vulnerability from the compensatory responses that would be present in already-affected individuals. MDD is an early-onset, highly prevalent disorder with significant morbidity, and it afflicts people in their most productive years. Identifying the biological vulnerability for depression before the onset of illness has important implications for prevention and public health.
MDD is an early-onset, highly prevalent disorder with significant morbidity, and it afflicts people in their most productive years. Identifying the biological vulnerability for depression before the onset of illness, as we have described in the study, has important implications for prevention and public health.
|Miller, Lisa; Bansal, Ravi; Wickramaratne, Priya et al. (2014) Neuroanatomical correlates of religiosity and spirituality: a study in adults at high and low familial risk for depression. JAMA Psychiatry 71:128-35|
|Horga, Guillermo; Kaur, Tejal; Peterson, Bradley S (2014) Annual research review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies. J Child Psychol Psychiatry 55:659-80|
|Bansal, Ravi; Hao, Xuejun; Liu, Jun et al. (2014) Using Copula distributions to support more accurate imaging-based diagnostic classifiers for neuropsychiatric disorders. Magn Reson Imaging 32:1102-13|
|Goodman, Jarid; Marsh, Rachel; Peterson, Bradley S et al. (2014) Annual research review: The neurobehavioral development of multiple memory systems--implications for childhood and adolescent psychiatric disorders. J Child Psychol Psychiatry 55:582-610|
|Yan, Xu; Zhou, Minxiong; Ying, Lingfang et al. (2014) A fast schema for parameter estimation in diffusion kurtosis imaging. Comput Med Imaging Graph 38:469-80|
|Peterson, Bradley S; Wang, Zhishun; Horga, Guillermo et al. (2014) Discriminating risk and resilience endophenotypes from lifetime illness effects in familial major depressive disorder. JAMA Psychiatry 71:136-48|
|Lewandowski, R Eric; Verdeli, Helen; Wickramaratne, Priya et al. (2014) Predictors of Positive Outcomes in Offspring of Depressed Parents and Non-depressed Parents Across 20 Years. J Child Fam Stud 23:800-811|
|Plessen, Kerstin J; Hugdahl, Kenneth; Bansal, Ravi et al. (2014) Sex, age, and cognitive correlates of asymmetries in thickness of the cortical mantle across the life span. J Neurosci 34:6294-302|
|He, Xiaofu; Liu, Wei; Li, Xuzhou et al. (2014) Automated assessment of the quality of diffusion tensor imaging data using color cast of color-encoded fractional anisotropy images. Magn Reson Imaging 32:446-56|
|Bansal, Ravi; Hao, Xuejun; Liu, Feng et al. (2013) The effects of changing water content, relaxation times, and tissue contrast on tissue segmentation and measures of cortical anatomy in MR images. Magn Reson Imaging 31:1709-30|
Showing the most recent 10 out of 134 publications