Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients
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Despite many neuroimaging studies in the past years, the neuroanatomical substrates of major depressive disorder (MDD) subcortical structures are still not well understood. Since hippocampus and amygdala are the two vital subcortical structures that most susceptible to MDD, finding the evidence of morphological changes in their subregions may bring some new insights for MDD research. Combining structural magnetic resonance imaging (MRI) with novel morphometry analysis methods, we recruited 25 MDD patients and 28 healthy controls (HC), and investigated their volume and morphological differences in hippocampus and amygdala. Relative to volumetric method, our methods detected more significant global morphological atrophies (p<0.05). More precisely, subiculum and cornu ammonis (CA) 1 subregions of bilateral hippocampus, lateral (LA) and basolateral ventromedial (BLVM) of left amygdala and LA, BLVM, central (CE), amygdalostriatal transition area (ASTR), anterior cortical (ACO) and anterior amygdaloid area (AAA) of right amygdala were demonstrated prone to atrophy. Correlation analyses between each subject’s surface eigenvalues and Hamilton Depression Scale (HAMD) were then performed. Correlation results showed that atrophy areas in hippocampus and amygdala have slight tendencies of expanding into other subregions with the development of MDD. Finally, we performed group morphometric analysis and drew the atrophy and expansion areas between MDD-Medicated group (only 19 medicated subjects in MDD group were included) and HC group, found some preliminary evidence about subregional morphological resilience of hippocampus and amygdala. These findings revealed new pathophysiologic patterns in the subregions of hippocampus and amygdala, which can help with subsequent smaller-scale MDD research.
KeywordsHippocampus Amygdala Major depressive disorder Subcortical structures Morphometry
This study was supported by the National Basic Research Program of China (973 Program) (No.2014CB744600), the National Natural Science Foundation of China (Grant No.61210010, No.61632014 and No.61571047), the Program of International S&T Cooperation of MOST (No.2013DFA11140), the Program of Beijing Municipal Science & Technology Commission (No.Z171100000117005), the National Key Research and Development Program of China (No.2016YFC1307203) and the Fundamental Research Funds for the Central Universities (lzujbky-2017-kb08).
Compliance with ethical standards
Conflict of interest
All authors declared no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed written consents were obtained from all individual participants included in the study.
- Brewer, W. F. (1986). Autobiographical Memory International Encyclopedia of the Social & Behavioral. Sciences, 3, 282–288.Google Scholar
- Bus, B. A. A., Molendijk, M. L., Tendolkar, I., Penninx, B. W. J. H., Prickaerts, J., Elzinga, B. M., & Voshaar, R. C. O. (2015). Chronic depression is associated with a pronounced decrease in serum brain-derived neurotrophic factor over time. Molecular Psychiatry, 20, 602.CrossRefPubMedGoogle Scholar
- Carlesimo, G. A., Piras, F., Orfei, M. D., Iorio, M., Caltagirone, C., & Spalletta, G. (2015). Atrophy of presubiculum and subiculum is the earliest hippocampal anatomical marker of Alzheimer's disease. Alzheimers Dement, 1, 24.Google Scholar
- Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (2002). Deformable templates using large deformation kinematics. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing. Society, 5, 1435–1447.Google Scholar
- Dannlowski, U., et al. (2007). Amygdala reactivity to masked negative faces is associated with automatic judgmental bias in major depression: a 3 T fMRI study. Journal of Psychiatry & Neuroscience Jpn, 32, 423.Google Scholar
- Ferrari, A. J., Somerville, A. J., Baxter, A. J., Norman, R., Patten, S. B., Vos, T., & Whiteford, H. A. (2013). Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature. Psychological Medicine, 43, 471–481.CrossRefPubMedGoogle Scholar
- First M, Spitzer R, Gibbon M, Williams J (2002) Structured Clinical Interview for DSM-IV Axis I disordersGoogle Scholar
- Fonberg, E. (1981) Manipulation of various aspects on the emotional behavior by amygdalar lesions and imipramine treatment. Brain & Behaviour, 17, 487-494Google Scholar
- Fossati, P., Harvey, P. O., Bastard, G. L., Ergis, A. M., Jouvent, R., & Allilaire, J. F. (2004). Verbal memory performance of patients with a first depressive episode and patients with unipolar and bipolar recurrent depression. Journal of Psychiatric Research, 38, 137–144.CrossRefPubMedGoogle Scholar
- Hasin, D. S., Goodwin, R. D., Stinson, F. S., & Grant, B. F. (2005). Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions. Archives of General Psychiatry, 62, 1097–1106. https://doi.org/10.1001/archpsyc.62.10.1097.CrossRefPubMedGoogle Scholar
- Hastings, R. S., Parsey, R. V., Oquendo, M. A., Arango, V., & Mann, J. J. (2004). Volumetric analysis of the prefrontal cortex, amygdala, and hippocampus in major depression. Neuropsychopharmacology Official Publication of the American College of. Neuropsychopharmacology, 29, 952.CrossRefPubMedGoogle Scholar
- Heller, A. S., et al. (2009). Reduced Capacity to Sustain Positive Emotion in Major Depression Reflects Diminished Maintenance of Fronto-Striatal Brain Activation. Proceedings of the National Academy of Sciences of the United States of America, 106, 22445–22450.CrossRefPubMedPubMedCentralGoogle Scholar
- Hotelling, H. (1992). The Generalization of Student's Ratio. Springer New York.Google Scholar
- Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. BMC Complementary and Alternative Medicine, 14, 422–422.Google Scholar
- Lesch, K. P. (2004). Gene–environment interaction and the genetics of depression. Journal of Psychiatry & Neuroscience Jpn, 29, 174–184.Google Scholar
- Liverant, G. I., Brown, T. A., Barlow, D. H., & Roemer, L. (2008). Emotion regulation in unipolar depression: the effects of acceptance and suppression of subjective emotional experience on the intensity and duration of sadness and negative affect. Behaviour Research and Therapy, 46, 1201–1209.CrossRefPubMedGoogle Scholar
- Lucassen, P. J., et al. (2006) Stress, depression and hippocampal apoptosis. CNS & Neurological Disorders - Drug Targets (Formerly Current Drug Targets - CNS & Neurological Disorders), 5, 531–546.Google Scholar
- Marcus DBM, Yasamy MT, Ommeren MV, Saxena S, Dan C (2012) A Global Public Health ConcernGoogle Scholar
- Reagh, Z. M., Noche, J. A., Tustison, N. J., Delisle, D., Murray, E. A., & Yassa, M. A. (2018). Functional Imbalance of Anterolateral Entorhinal Cortex and Hippocampal Dentate/CA3 . Underlies Age-Related Object Pattern Separation Deficits, 97, 1187–1198 e1184.Google Scholar
- Styner, M., et al. (2006). Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM. Insight Journal, 1071, 242.Google Scholar
- Sun, Q., Sotayo, A., Cazzulino, A. S., Snyder, A. M., Denny, C. A., & Siegelbaum, S. A. (2017). Proximodistal heterogeneity of hippocampal CA3 pyramidal neuron intrinsic properties, connectivity, and reactivation during memory recall. Neuron, 95, 656–672 e653.CrossRefPubMedPubMedCentralGoogle Scholar
- Wang Y et al. (2013) Surface multivariate tensor-based morphometry on premature neonates: A pilot studyGoogle Scholar
- Wang Y, Panigrahy A, Ceschin R, Liu S, Thompson PM, Leporé N (2013b) Surface morphometry of subcortical structures in premature neonatesGoogle Scholar