| Title |
Cortical thickness and subcortical volumes alterations in euthymic bipolar I patients treated with different mood stabilizers
|
|---|---|
| Published in |
Brain Imaging and Behavior, August 2018
|
| DOI | 10.1007/s11682-018-9950-9 |
| Pubmed ID | |
| Authors |
Linling Li, Erni Ji, Xue Han, Fei Tang, Yuanhan Bai, Daihui Peng, Yiru Fang, Shengli Zhang, Zhiguo Zhang, Haichen Yang |
| Abstract |
Reported structural abnormalities of patients with bipolar disorder (BD) are inconsistent and the use of psychotropic medication is one of the sources of heterogeneity. A fairly small number of morphometric studies have involved comparison of BD on different mood stabilizers. Here in this study, we aimed to investigate the cortical thickness and subcortical volumes in euthymic BD patients on lithium and valproate and healthy controls (HC), and to elucidate the relationship between the use of medication and brain structure variations. We acquired structural magnetic resonance imaging data from 35 BD patients (19/valproate;16/lithium) and 30 HC subjects. Cortical thickness was compared in multiple locations across the continuous cortical surface, and subcortical volumes were compared on a structure-by-structure basis. Group analyses revealed widespread thinning of the prefrontal cortex in BD. Compared with BD on valproate, BD on lithium showed significant increased cortical thickness of the left rostral middle frontal cortex and right superior frontal cortex, while cortical thickness was not significantly different between BD on lithium and HC in the bilateral rostral middle frontal cortex. Moreover, no significant difference was observed in subcortical volume. Limitations of this study comprise the possible effect of other psychotropic drugs, small sample size and the cross-sectional design. Therefore, the results suggest medication-related neurobiological difference between BD patients on different mood stabilizers, but no casual role can be proposed. Our findings provided new evidence about the effects of psychotropic medication upon neuroanatomy in BD, and could help to explain the inconsistency of existing studies as well as contribute to the extraction of reliable neuroimaging biomarkers in BD. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Student > Bachelor | 4 | 16% |
| Student > Ph. D. Student | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 24% |
| Medicine and Dentistry | 4 | 16% |
| Neuroscience | 4 | 16% |
| Chemistry | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 August 2018.
All research outputs
#18,648,325
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Outputs from Brain Imaging and Behavior
#864
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#256,807
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Outputs of similar age from Brain Imaging and Behavior
#17
of 31 outputs
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