Patterns of gray matter alterations in first episode manic adolescents
Li Yao1, Wenjing Zhang1, Yuan Xiao1, Wade Weber2, Christina Klein2, Rodrigo Patino 2, Qiyong Gong1, Melissa DelBello2, Su Lui1, and Caleb Adler2

1Huaxi MR Reasearch Center, Chengdu, China, People's Republic of, 2Department of Psychiatry and Behavioral Neuroscience, Division of Bipolar Disorders Research, University of Cincinnati College of Medicine, Cincinnati, OH, United States

Synopsis

Gray matter volume and cortical thickness was measured to investigate the anatomical deficit in bipolar patients with severe mania. 60 patients and 29 healthy controls were recruited. Whole brain grey matter volume and cortical thickness measurements were extracted from T1-weighted MRI images and agglomerative hierarchical clustering was performed to subgroup the patients. The grey matter reduction and cortical thinning may underlie affective processing and cognition impairments in patients. In addition, the homogeneous patterns of brain deficits support the manic bipolar patients as a disease with mostly the same pattern of cerebral changes.

Purpose

The aim of the present study was to investigate the gray matter alterations in bipolar patients with severe mania, and also the heterogeneous patterns of these structural abnormalities.

Methods

Sixty first-episode manic bipolar adolescents and twenty-nineage-, sex- and years of education-matched healthy comparison (HC) participantswererecruited. MRI examinations were performed on a 4-T Varian Unity INOVA scanner with Modified Driven Equilibrium Fourier Transform (MDEFT) pulse sequence (TR=13.0 ms, TE=5.3 ms, tau (magnetization preparation time)=1.1 ms, FOV=256x192x192 mm3, matrix=256x192x96). Cortical modeling and volumetric segmentation of structural MRI data were performed with the FreeSurfer package (version 5.1.0, http://surfer.nmr.mgh.harvard.edu/). Sincethe surface-based analysis was restricted to thecortical mantle, volumetric analyses were conducted toassess deep gray matter using theexponentiated lie algebra (DARTEL) toolbox. Agglomerative hierarchical clustering 1 was performedon manicpatients by the cortical thickness extracted from 48 frontal and temporal brain regions. The optimal cluster number wasdetermined using Silhouette, Dunn, and connectivity indices, which reflect the compactness, separation, and connectedness of the generated clusters.

Results

In relation to the HC, the manic adolescents showed significantly reduced cortical thickness in the left superior temporal gyrus (Monte Carlo simulation P<0.05, corrected, Figure 1). VBM-DARTEL analysis revealed decreased grey matter volume in left middle temporal gyrus, left amygdala, bilateral cerebellum, right inferior occipital gyrus, bilateral precentral gyri, right superior temporal gyrus, right fusiform and left orbital frontal gyrus as well as increased grey matter volume in right middle temporal gyrus and left inferior frontal gyrusin manic compare to HC participants(Figure 2).The result of hierarchical clustering is shown as a combination of dendrogram and heat map illustration in Figure 3.Fifty-six patients (93.3%) were placed in subgroup 1 and 4 patients(6.7%) were placed in subgroup 2. The patients in subgroup 2 showed relatively thinner cortical thickness in all examined frontal and temporal brain areas compared with those in subgroup 1.

Discussion

Our findings indicate grey matter reduction, mainly within temporal lobe, prefrontal cortex, amygdala, fusiform and cerebellum, which could possibly underlie mood dysregulation and cognitive dysfunction in bipolar adolescents with first-episodemania2,3,4. The increased volume of middle temporal gyrus and inferior frontal gyrus may represent a compensatory factor. The cortical thickness deficits were showed in left superior temporal gyrus which plays a crucial role in emotion processing and social cognition5. Furthermore, thecortical thickness alternations showed homogeneous patterns in the clustering analysis, supporting the manic bipolar adolescents have an illness with mostly the same pattern of cerebral changes. And, the reduction of cortical thickness in the superior temporal gyrus may act as potential imaging biomarker of mania in this population.

Conclusion

Our findings confirmed the homogeneous patterns of brain deficits mainly involving the affective processing and social cognition in bipolar adolescents with first-episode mania. Specially, the reduced cortical thickness of left superior temporal gyrus may be an illness biomarker.

Acknowledgements

This work was supported by the grant from NIMH.

References

1. Johnson SC. Hierarchical clustering schemes. Psychometrika. 1967;32(3):241-254.

2. Baldacara L et al. Is cerebellar volume related to bipolar disorder? J Affect Disord. 2011 Dec;135(1-3):305-9

3. Machado CJ et al. Impact of amygdala, orbital frontal, or hippocampal lesions on threat avoidance and emotional reactivity in nonhuman primates. Emotion. 2009 Apr;9(2):147-63.

4. Dziobek I et al. The role of the fusiform-amygdala system in the pathophysiology of autism. Arch Gen Psychiatry. 2010 Apr;67(4):397-405.

5. Thomas LA et al. Neural circuitry of masked emotional face processing in youth with bipolar disorder, severe mood dysregulation, and healthy volunteers. Dev Cogn Neurosci. 2014 Apr;8:110-20.

Figures

Figure 1.Differences in cortical thickness between mania adolescents and healthy comparison participants.The blue areas indicate reduced cortical thickness in the bipolar group.

Figure 2. Comparison of the gray matter volume between manic and healthy compatison participants (p< 0.001, uncorrected). The blue areas indicate reduced grey matter volume in patients group; the red areas indicate increased grey matter volume.

Figure 3. Each row represents a participant with bipolar disorder and each column represents a cortical thickness value of a brain region. Two main subgroups (denoted by subgroup 1and subgroup 2) were identified.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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