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Matsubara T, Chen C, Hirotsu M, Watanuki T, Harada K, Watanabe Y, Matsuo K, Nakagawa S. Prefrontal cortex activities during verbal fluency and emotional words tasks in major depressive, adjustment, and bipolar disorders with depressive states. J Affect Disord 2022; 316:109-117. [PMID: 35973508 DOI: 10.1016/j.jad.2022.08.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/06/2022] [Accepted: 08/11/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND It can be difficult to differentiate psychiatric disorders from depressive states, with little knowledge on how to differentiate them. This study aimed to evaluate changes in brain activity during cognitive and emotional tasks in patients with depressive state to help with differential diagnoses. METHODS Sixty-two patients with depressive states [17 with adjustment disorder (AD), 27 with major depressive disorder (MDD), and 18 with bipolar disorder (BD)] and 34 healthy controls (HC) were recruited. We used a verbal fluency task (VFT) and emotional word tasks with happy and threat words. Functional near-infrared spectroscopy measured the relative change in oxygenated hemoglobin in the frontotemporal areas. RESULTS During the VFT, patients with AD or MDD showed significantly reduced activation in the bilateral frontotemporal region (all p < 0.01), whereas patients with BD demonstrated significantly reduced activation in the right frontotemporal areas compared to HC (p < 0.01). During the emotional words task with happy words, patients with MDD showed significantly increased activity in the frontopolar area compared to HC (p = 0.023). Binary logistic regression analysis showed that MDD or BD was significantly associated with brain activity during the happy word task. In distinguishing MDD or BD from HC, the happy words task performed equally well, with an area under the curve of 0.70. LIMITATIONS All study patients were taking psychotropic drugs. CONCLUSIONS Brain activation in response to a combination of cognitive or emotional stimuli could assist in distinguishing patients with depressive states from healthy controls.
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Affiliation(s)
- Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masako Hirotsu
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | | | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | | | - Koji Matsuo
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Shin Nakagawa
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
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Wang J, Kong F, Zheng H, Cai D, Liu L, Lian J, Lyu H, Lin S, Chen J, Qin X. Lateralized brain activities in subcortical vascular mild cognitive impairment with differential Chinese medicine patterns: A resting-state functional magnetic resonance imaging study. Front Neurosci 2022; 16:943929. [PMID: 36071714 PMCID: PMC9441905 DOI: 10.3389/fnins.2022.943929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 07/27/2022] [Indexed: 11/23/2022] Open
Abstract
Background Subcortical vascular mild cognitive impairment (svMCI) is one of the most treatable cognitive impairments, but could be hampered by the high clinical heterogeneities. Further classification by Chinese Medicine (CM) patterns has been proved to stratify its clinical heterogeneities. It remains largely unknown of the spontaneous brain activities regarding deficiency patterns (DPs) and excess patterns (EPs) of svMCI patients based on fMRI data. Objective We aim to provide neuroimaging evidence of altered resting-state brain activities associated with DPs and EPs in svMCI patients. Methods Thirty-seven svMCI patients (PAs) and 23 healthy controls (CNs) were consecutively enrolled. All patients were categorized into either the EP group (n = 16) and the DP group (n = 21) based on a quantitative CM scale. The fractional amplitude of low-frequency fluctuation (fALFF) value was used to make comparisons between different subgroups. Results The DP group showed significant differences of fALFF values in the right middle frontal gyrus and the right cerebellum, while the EP group showed significant differences in the left orbitofrontal gyrus and the left cerebellum, when compared with the CN group. When compared with the EP group, the DP group had markedly increased fALFF values in the left superior temporal gyrus, right middle temporal gyrus and brainstem. The decreased fALFF values was shown in the right anterior cingulate and paracingulate gyri. Among the extensive areas of frontotemporal lobe, the Montreal Cognitive Assessment (MoCA) scores were significantly correlated with the reduced fALFF value of the right middle frontal gyrus and the left orbitofrontal gyrus. Conclusion Our results indicated that the DPs and EPs presented the lateralization pattern in the bilateral frontal gyrus, which will probably benefit the future investigation of the pathogenesis of svMCI patients.
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Affiliation(s)
- Jianjun Wang
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
- Harvard Medical School, Global Clinical Scholars Research Training (GCSRT), Boston, MA, United States
| | - Fanxin Kong
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Haotao Zheng
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Dongbin Cai
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Lijin Liu
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Jie Lian
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Hanqing Lyu
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Songjun Lin
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Jianxiang Chen
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Xiude Qin
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
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Zhang Z, Huang P, Li S, Liu Z, Zhang J, Li Y, Liu Z. Neural mechanisms underlying the processing of emotional stimuli in individuals with depression: An ALE meta-analysis study. Psychiatry Res 2022; 313:114598. [PMID: 35544984 DOI: 10.1016/j.psychres.2022.114598] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 04/29/2022] [Accepted: 04/30/2022] [Indexed: 12/29/2022]
Abstract
Depression is the leading cause of physiological problems and suicide. Previous studies have indicated that individuals with depression show abnormal processing of both positive and negative emotional stimuli. However, the common and distinct patterns of brain activity during the processing of positive and negative emotional stimuli in individuals with depression remain controversial. The current meta-analysis study used the activation likelihood estimation method to investigate these issues across 21 functional magnetic resonance imaging studies. Results revealed that, compared with individuals without depression, individuals with depression showed higher activation in the anterior cingulate gyrus, insula, and middle frontal gyrus (MFG) for positive emotional stimuli and higher activation in the MFG, inferior frontal gyrus, and insula for negative emotional stimuli. Moreover, we identified that the MFG was consistently activated in individuals with depression regardless of the type of emotional stimuli. However, we did not find distinct patterns of brain activity between positive and negative emotional stimuli in individuals with depression. Our results demonstrated that both positive and negative emotional stimuli processing shares the same cognitive control-related brain regions in individuals with depression.
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Affiliation(s)
- Zhenyu Zhang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Pujiang Huang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Shuyu Li
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Zhiyu Liu
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Jiayao Zhang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Ya'nan Li
- School of Education, Qinghai Normal University, Xining, China
| | - Zhiyuan Liu
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China.
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Wu H, Zheng Y, Zhan Q, Dong J, Peng H, Zhai J, Zhao J, She S, Wu C. Covariation between spontaneous neural activity in the insula and affective temperaments is related to sleep disturbance in individuals with major depressive disorder. Psychol Med 2021; 51:731-740. [PMID: 31839025 DOI: 10.1017/s0033291719003647] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Affective temperaments have been considered antecedents of major depressive disorder (MDD). However, little is known about how the covariation between alterations in brain activity and distinct affective temperaments work collaboratively to contribute to MDD. Here, we focus on the insular cortex, a critical hub for the integration of subjective feelings, emotions, and motivations, to examine the neural correlates of affective temperaments and their relationship to depressive symptom dimensions. METHODS Twenty-nine medication-free patients with MDD and 58 healthy controls underwent magnetic resonance imaging scanning and completed the Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS). Patients also received assessments of the Hamilton Depression Rating Scale (HDRS). We used multivariate analyses of partial least squares regression and partial correlation analyses to explore the associations among the insular activity, affective temperaments, and depressive symptom dimensions. RESULTS A profile (linear combination) of increased fractional amplitude of low-frequency fluctuations (fALFF) of the anterior insular subregions (left dorsal agranular-dysgranular insula and right ventral agranuar insula) was positively associated with an affective-temperament (depressive, irritable, anxious, and less hyperthymic) profile. The covariation between the insula-fALFF profile and the affective-temperament profile was significantly correlated with the sleep disturbance dimension (especially the middle and late insomnia scores) in the medication-free MDD patients. CONCLUSIONS The resting-state spontaneous activity of the anterior insula and affective temperaments collaboratively contribute to sleep disturbances in medication-free MDD patients. The approach used in this study provides a practical way to explore the relationship of multivariate measures in investigating the etiology of mental disorders.
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Affiliation(s)
- Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Yingjun Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Qianqian Zhan
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Jie Dong
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Hongjun Peng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Jinguo Zhai
- School of Mental Health, Jining Medical University, Jining272067, China
| | - Jingping Zhao
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Shenglin She
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou510370, China
| | - Chao Wu
- School of Nursing, Peking University Health Science Center, Beijing100191, China
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