Shared and distinct regional homogeneity changes in bipolar and unipolar depression

Yao, Xudong; Zhang, Yin; Liu, Fang; Wei, Shengnan; Zhou, Yifang; Jiang, Xiaowei; Wei, Yange; Wang, Fei; Tang, Yanqing

doi:10.1016/j.neulet.2018.02.033

Cited by 33 publications

(20 citation statements)

References 31 publications

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“…Yao et al compared the ReHo of bipolar depression (BD), unipolar depression (UD), and healthy controls (HC) in the whole brain. The results show that the left frontal cluster (LFC) had significant differences among the three groups of subjects and the left temporal cluster (LTC) has a significant difference between BD and UD; the cuneus may provide neurological signs of depression in patients with BD and UD [ 25 ]. Peng et al studied the ReHo of whole brain fMRI in patients with major depression and healthy controls at rest, and the results show that the ReHo values of the left thalamus, left temporal lobe, left cerebellar posterior lobe, and bilateral occipital lobe in patients with depression were significantly lower than in healthy subjects, suggesting abnormal activity in these brain regions [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Neural Basis of Depression Related to a Dominant Right Hemisphere: A Resting-State fMRI Study

2018

Behavioural Neurology

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Background In the past, studies on the lateralization of the left and right hemispheres of the brain suggested that depression is dominated by the right hemisphere of the brain, but the neural basis of this theory remains unclear. Method Functional magnetic resonance imaging of the brain was performed in 22 depressive patients and 15 healthy controls. The differences in the mean values of the regional homogeneity (ReHo) of two groups were compared, and the low-frequency amplitudes of these differential brain regions were compared. Results The results show that compared with healthy subjects, depressive patients had increased ReHo values in the right superior temporal gyrus, right middle temporal gyrus, left inferior temporal gyrus, left middle temporal gyrus, right middle frontal gyrus, triangular part of the right inferior frontal gyrus, orbital part of the right inferior frontal gyrus, right superior occipital gyrus, right middle occipital gyrus, bilateral anterior cingulate, and paracingulate gyri; reduced ReHo values were seen in the right fusiform gyrus, left middle occipital gyrus, left lingual gyrus, and left inferior parietal except in the supramarginal and angular gyri. Conclusions The results show that regional homogeneity mainly occurs in the right brain, and the overall performance of the brain is such that right hemisphere synchronization is enhanced while left hemisphere synchronization is weakened. ReHo abnormalities in the resting state can predict abnormalities in individual neurological activities that reflect changes in the structure and function of the brain; abnormalities shown with this indicator are the neuronal basis for the phenomenon that the right hemisphere of the brain has a dominant effect on depression.

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Section: Introductionmentioning

confidence: 99%

Neural Basis of Depression Related to a Dominant Right Hemisphere: A Resting-State fMRI Study

2018

Behavioural Neurology

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“…However, few consistent abnormalities have been reported in relation to brain regions, such as the superior temporal gyrus (STG) and the middle frontal gyrus (MFG) (20,21). Yao et al found an increased ReHo in the left orbital inferior frontal gyrus (OIFG) and MFG and a decreased ReHo in the IFG, insula, STG, and occipital cortex of patients with BD I and II (20). Other studies have shown that pediatric patients with BD present a decreased ReHo in the middle temporal gyrus, bilateral MFG, and medial frontal gyrus (21) and that manic and euthymic pediatric patients with BD have differences in ReHo signals in the insula, STG, and cerebellum crus I (23).…”

Section: Introductionmentioning

confidence: 99%

Disrupted Regional Homogeneity in Drug-Naive Patients With Bipolar Disorder

et al. 2020

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Objective: Studies on alterations in the regional neural activity in the brain of patients with bipolar disorder (BD) have provided conflicting results because of different medications used and study designs. A low bone mineral density (BMD) is also observed in patients with BD. This study aimed to further explore regional neural activities in unmedicated patients with BD and their association with BMD. Methods: In this study, 40 patients with BD and 42 healthy controls were scanned through resting-state functional magnetic resonance imaging (fMRI). Imaging data were analyzed with regional homogeneity (ReHo) and pattern classification. Pearson's correlation analyses were performed to explore the correlations between abnormal ReHo and BMD. Results: A significant increase in ReHo values in the left inferior frontal gyrus (IFG)/ temporal pole, left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem, and right superior temporal gyrus (STG) and a decrease in ReHo in the occipital gyrus (OG; left middle OG/superior OG/bilateral cuneus) were found in the patients with BD (p < 0.05) compared with those in the healthy controls. No significant correlation was observed between the abnormal ReHo values in any of the brain regions of the patients with BMD.Support vector machine (SVM) analyses revealed that the ReHo values in the right STG for distinguishing patients from healthy controls showed an accuracy of 91.89%, a sensitivity of 75.68%, and a specificity of 83.78%. The ReHo values in the left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem indicated an accuracy of 78.38%, a sensitivity of 75.68%, and a specificity of 81.08%.

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“…Some studies found increased ReHo values in the frontal lobe, cingulate cortex, and parahippocampal gyrus, while others found reduced ReHo values in the same areas [25][26][27][28][29]. As most of the studies mentioned above were performed at the group level, it is challenging to apply these findings to the individual identification of BPD.…”

Section: Introductionmentioning

confidence: 99%

Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

Cui

Cao³

et al. 2020

Preprint

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Background Bipolar disorder (BPD) is a common mood disorder that is often goes misdiagnosed or undiagnosed. Recently, machine learning techniques have been combined with neuroimaging methods to aid in the diagnosis of BPD. However, most studies have focused on the construction of classifiers based on single-modality MRI. Hence, in this study, we aimed to construct a support vector machine (SVM) model using a combination of structural and functional MRI, which could be used to accurately identify patients with BPD. Methods In total, 44 patients with BPD and 36 healthy controls were enrolled in the study. Clinical evaluation and MRI scans were performed for each subject. Next, image pre-processing, voxel-based morphometry (VBM), and ReHo analyses were performed. The grey matter volumes or ReHo values of the clusters showed significant differences as discriminant features in the SVM classification model. Based on extracted features, the SVM model was established, and discriminant analysis was performed. Results After using the two-sample t-test with multiple comparisons, 12 clusters with significant differences were extracted from the data. Next, we used both VBM and ReHo data to construct the new SVM classifier, which could effectively identify patients with BPD at an accuracy of 90% in the test data (p=0.0014). Limitations The sample size was small, and we were unable to eliminate the potential effects of medications. Conclusions A combination of structural and functional MRI can be of added value in the construction of SVM classifiers to aid in the accurate identification of BPD in the clinic.

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Shared and distinct regional homogeneity changes in bipolar and unipolar depression

Cited by 33 publications

References 31 publications

Neural Basis of Depression Related to a Dominant Right Hemisphere: A Resting-State fMRI Study

Neural Basis of Depression Related to a Dominant Right Hemisphere: A Resting-State fMRI Study

Disrupted Regional Homogeneity in Drug-Naive Patients With Bipolar Disorder

Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

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