Alteration of cortico-limbic-striatal neural system in major depressive disorder and bipolar disorder

Jiang, Xiaowei; Dai, Xu; Edmiston, E. Kale; Zhou, Qian; Zhou, Yifang; Wu, Feng; Kong, Liang; Wei, Shengnan; Zhou, Yuning; Chang, Miao; Geng, Hong; Wang, Dahai; Wang, Ye; Cui, Wenhui; Wang, Fei; Tang, Yanqing

doi:10.1016/j.jad.2017.05.025

Cited by 41 publications

(18 citation statements)

References 67 publications

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“…The major features able to discriminate between the BD and HC groups were those frequently selected during feature selection in the cerebellum, the subcortical regions, and some prefrontal regions. These selections are consistent with dysconnectivity during BD, which is known to involve the prefronto-limbic-striatal regions (Strakowski et al, 2012;Jiang et al, 2017;Roberts et al, 2017;Perry et al, 2018). The cerebellum was long regarded as only acting as a motor coordinator, but it also does seem to have a role as a modulator of non-motor functions, including the processing of emotions and cognitions Schmahmann, 2009, 2010).…”

Section: Discussionmentioning

confidence: 54%

“…The activity and connectivity of the brain regions that mediate emotional regulation and reward processing have been found to be disrupted in BD (Chen et al, 2011;Strakowski et al, 2012;Phillips and Swartz, 2014); these include alterations in the activity of various limbic structures, such as the amygdala and hippocampus, as well as prefrontal regions, such as the ventrolateral cortex. Moreover, when a connectivity-based approach has been employed previously to investigate BD, the prefronto-limbic-striatal regions have been found to be the areas associated with the main dysconnectivity in BD (Strakowski et al, 2012;Jiang et al, 2017;Roberts et al, 2017). In a review study by Perry et al (2018), it was suggested that dysconnectivity is most prominent in the amygdala and prefrontal regions when the reviewed studies are considered; nevertheless, dysconnectivity was also observed in the inferior frontal cortex, medial prefrontal areas, anterior cingulate cortex, thalamus, and several other diverse regions of the cortex.…”

Section: Introductionmentioning

confidence: 99%

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Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder

Chen¹,

Huang³

et al. 2020

Front. Neurosci.

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Background: A number of mental illness is often re-diagnosed to be bipolar disorder (BD). Furthermore, the prefronto-limbic-striatal regions seem to be associated with the main dysconnectivity of BD. Functional connectivity is potentially an appropriate objective neurobiological marker that can assist with BD diagnosis. Methods: Health controls (HC; n = 173) and patients with BD who had been diagnosed by experienced physicians (n = 192) were separated into 10-folds, namely, a ninefold training set and a onefold testing set. The classification involved feature selection of the training set using minimum redundancy/maximum relevance. Support vector machine was used for training. The classification was repeated 10 times until each fold had been used as the testing set. Results: The mean accuracy of the 10 testing sets was 76.25%, and the area under the curve was 0.840. The selected functional within-network/between-network connectivity was mainly in the subcortical/cerebellar regions and the frontoparietal network. Furthermore, similarity within the BD patients, calculated by the cosine distance between two functional connectivity matrices, was smaller than between groups before feature selection and greater than between groups after the feature selection. Limitations: The major limitations were that all the BD patients were receiving medication and that no independent dataset was included. Conclusion: Our approach effectively separates a relatively large group of BD patients from HCs. This was done by selecting functional connectivity, which was more similar within BD patients, and also seems to be related to the neuropathological factors associated with BD.

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Section: Discussionmentioning

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder

Chen¹,

Huang³

et al. 2020

Front. Neurosci.

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“…This finding was also in consistent with previous findings. Jiang has founded that differences in predominated lateralization of ALFF alteration between MDD and bipolar depression which meant left hemisphere for MDD and bilateral of bipolar depression [ 71 ]. Of course, these findings may be related to gender difference.…”

Section: Discussionmentioning

confidence: 99%

Abnormal resting state activity of left middle occipital gyrus and its functional connectivity in female patients with major depressive disorder

Teng

Zhou²,

et al. 2018

BMC Psychiatry

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BackgroundWomen are more susceptible to major depressive disorder (MDD). A possible explanation is that women have a trait tendency to engage in a ruminative response style. Depending on cognitive model of depression, attention bias, memory bias and self-referential bias were closely related among depressed patients. Previous studies have explored the neural mechanism of the cognitive biases by using amplitude of low frequency fluctuations (ALFF) or functional connectivity (FC), and few combined these two metrics, especially focusing on female patients.MethodsWe assessed 25 female patients diagnosed with MDD and 13 well matched healthy controls (HCs) using Rs-fMRI. Two metrics ALFF and FC based on abnormal ALFF were explored and made comparisons.ResultsCompared with HCs, female patients with MDD showed that one cluster with significantly decreased ALFF in the left middle occipital gyrus(L-MOG). Furtherly we founded depressed female subjects showed significantly lower FC between the L-MOG seed and left orbitofrontal cortex, and significantly higher FC between the L-MOG seed and left medial prefrontal gyrus and left hippocampus.ConclusionsOur results showed L-MOG may act as a connection, which involved in the processing of cognitive biases of MDD by connected with limbic-cortical regions in resting state. These findings may enhance the understanding of the neurobiological mechanism in female patients with MDD.

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“…The ALFF index was found to be stable, reliable and useful in characterizing the intrinsic or spontaneous brain activity in various brain diseases, such as Parkinson’s disease 12 , posttraumatic stress disorder 13 , MDD 14 , and BD 15 . Several previous studies have employed ALFF to investigate the pathophysiology of affective disorders, and found widespread aberrant regional spontaneous brain activity, including the medial prefrontal cortex (mPFC) 16 , precuneus/posterior cingulate cortex (PCC) 15 , 16 , temporal gyrus 17 , occipital gyrus 15 , 18 , cerebellum 19 , insula 20 , 21 , and limbic regions 21 , 22 . However, these results are often inconsistent, probably due to the small sample sizes, age ranges, clinical heterogeneity, and different methodology.…”

Section: Introductionmentioning

confidence: 99%

Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis

et al. 2020

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Identification of intrinsic brain activity differences and similarities between major depression (MDD) and bipolar disorder (BD) is necessary. However, results have not yet yielded consistent conclusions. A meta-analysis of whole-brain resting-state functional MRI (rs-fMRI) studies that explored differences in the amplitude of low-frequency fluctuation (ALFF) between patients (including MDD and BD) and healthy controls (HCs) was conducted using seed-based d mapping software. Systematic literature search identified 50 studies comparing 1399 MDD patients and 1332 HCs, and 15 studies comparing 494 BD patients and 593 HCs. MDD patients displayed increased ALFF in the right superior frontal gyrus (SFG) (including the medial orbitofrontal cortex, medial prefrontal cortex [mPFC], anterior cingulate cortex [ACC]), bilateral insula extending into the striatum and left supramarginal gyrus and decreased ALFF in the bilateral cerebellum, bilateral precuneus, and left occipital cortex compared with HCs. BD showed increased ALFF in the bilateral inferior frontal gyrus, bilateral insula extending into the striatum, right SFG, and right superior temporal gyrus (STG) and decreased ALFF in the bilateral precuneus, left cerebellum (extending to the occipital cortex), left ACC, and left STG. In addition, MDD displayed increased ALFF in the left lingual gyrus, left ACC, bilateral precuneus/posterior cingulate gyrus, and left STG and decreased ALFF in the right insula, right mPFC, right fusiform gyrus, and bilateral striatum relative to BD patients. Conjunction analysis showed increased ALFF in the bilateral insula, mPFC, and decreased ALFF in the left cerebellum in both disorders. Our comprehensive meta-analysis suggests that MDD and BD show a common pattern of aberrant regional intrinsic brain activity which predominantly includes the insula, mPFC, and cerebellum, while the limbic system and occipital cortex may be associated with spatially distinct patterns of brain function, which provide useful insights for understanding the underlying pathophysiology of brain dysfunction in affective disorders, and developing more targeted and efficacious treatment and intervention strategies.

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Alteration of cortico-limbic-striatal neural system in major depressive disorder and bipolar disorder

Cited by 41 publications

References 67 publications

Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder

Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder

Abnormal resting state activity of left middle occipital gyrus and its functional connectivity in female patients with major depressive disorder

Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis

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