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
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