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Little B, Anwyll M, Norsworthy L, Corbett L, Schultz-Froggatt M, Gallagher P. Processing speed and sustained attention in bipolar disorder and major depressive disorder: A systematic review and meta-analysis. Bipolar Disord 2024; 26:109-128. [PMID: 37973384 DOI: 10.1111/bdi.13396] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Cognitive impairment is a core feature of bipolar disorder (BD) and major depressive disorder (MDD). Deficits in processing speed (PS) and sustained attention (SA) may be particularly impaired and may underpin a broader profile of deficits, however current knowledge of the nature of these impairments is limited by heterogeneous results in the literature. Few reviews to date have attempted to disentangle sources of heterogeneity to assess the presence and magnitude of impairments in PS and SA in BD and MDD. METHODS One hundred and three studies were reviewed to examine performance in tests of PS and SA in BD (n = 3452) and MDD (n = 5461) compared to healthy controls (n = 8016). Neuropsychological methodology used in the literature was summarised. Data were meta-analysed to assess impairments in PS and SA for each neuropsychological test separately. Subgroup analysis was performed across mood states to investigate sources of heterogeneity. RESULTS Impairments were found across most neuropsychological tests, with small to large effect sizes for BD (range: d = 0.19-0.96) and MDD (range: d = 0.29-0.86). Impairments were present in symptomatic states and euthymia in most cases. Some outcome measures were not impaired in euthymia. Heterogeneity was observed for most neuropsychological tests and remained after separating by mood state. There inadequate data to meta-analyse some outcome measures, particularly for symptomatic groups. CONCLUSION Impairments in PS and SA in BD and MDD can be observed across most neuropsychological tests. Future research should further investigate the nature of these impairments across mood states, controlling for clinical confounds.
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Affiliation(s)
- Bethany Little
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK
| | - Megan Anwyll
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Norsworthy
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Luke Corbett
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Mia Schultz-Froggatt
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Peter Gallagher
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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Huang D, He J, Zhang R, Zhong S, Lai S, Jia Y. Sex differences in serum trace elements and minerals levels in unmedicated patients with major depressive episode: The role of suicidal ideation. J Affect Disord 2024; 348:26-34. [PMID: 38086449 DOI: 10.1016/j.jad.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 09/18/2023] [Accepted: 12/08/2023] [Indexed: 12/22/2023]
Abstract
BACKGROUND We aimed to examine the influence of gender on serum trace elements and minerals levels in depression, as well as the impact of suicidal ideation (SI) on these gender dimorphisms. METHODS A total of 260 unmedicated patients with a current major depressive episode were enrolled. The Beck Scale for Suicide Ideation was utilized to evaluate SI. The serum levels of copper, zinc, iron, calcium, phosphorus, and magnesium were quantified. RESULTS Within the non-SI (NSI) group, females exhibited higher levels of copper (p = 0.001) and phosphorus (p = 0.008), and lower levels of zinc (p = 0.022) and calcium (p = 0.008) compared to males. Conversely, no discernible gender disparities were observed in the SI group (all p > 0.05). Also, no group differences in these trace elements/minerals were observed between the SI and NSI groups (all p > 0.05). Notably, serum iron levels exhibited a significant group-by-sex interaction effect (p = 0.024). Further analysis revealed that iron levels were higher in the SI group than in the NSI group among females (p = 0.048), but lower in females than in males within the NSI group (p < 0.001). Moreover, a positive association between the fourth quantile of serum iron and SI was detected in females (odds ratio [OR] = 2.88, 95 % confidence interval [CI]: 1.08-8.11). CONCLUSIONS Gender effects on serum trace element/mineral levels were different in depressed patients with and without SI. Female patients were susceptible to SI when serum iron was at the upper end of normal.
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Affiliation(s)
- Dong Huang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jiali He
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Rongxu Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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Mao R, Wang C, Cui L, Mellor D, Wu Z, Fang Y. Gender differences in prevalence and associations between cognitive symptoms and suicidal ideation in patients with recurrent major depressive disorder: findings from the Chinese NSSD study. BMC Psychiatry 2024; 24:83. [PMID: 38297249 PMCID: PMC10829390 DOI: 10.1186/s12888-024-05557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/24/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND This study aimed to explore gender differences in associations between cognitive symptoms and suicidal ideation (SI) among patients with recurrent major depressive disorder (MDD). METHODS We recruited 1222 patients with recurrent MDD from the National Survey on Symptomatology of Depression (NSSD), a survey designed to investigate the symptoms experienced during current major depressive episodes in China. A four-point Likert questionnaire was used to assess the frequency of cognitive symptoms and SI in the past two weeks. RESULTS Gender differences in clinical features and cognitive symptoms of participants with recurrent MDD were found. Specifically, male patients had a higher prevalence of memory loss, decreased verbal output, indecisiveness, and impaired interpersonal relationships, while female patients exhibited a higher prevalence of impaired social and occupational functioning (all P < 0.05). No significant difference in SI prevalence was found between male and female patients. The logistic regression analysis revealed that in male patients, SI was associated with indecisiveness and impaired interpersonal relationships. In female patients, reduced verbal output and impaired social and professional functions were also associated with SI in addition to the above-mentioned variables. CONCLUSION The findings of gender differences in associations between cognitive symptoms and SI highlight the need to carefully assess gender-specific cognitive predictors of SI in patients with recurrent MDD. This has further implications for more targeted prevention and treatment strategies for SI based on gender.
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Affiliation(s)
- Ruizhi Mao
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenglei Wang
- Shanghai Changning District Mental Health Center, Shanghai, China
| | - Lvchun Cui
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - David Mellor
- School of Psychology, Deakin University, Melbourne, Australia
| | - Zhiguo Wu
- Department of Psychological Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China.
- Shanghai Yangpu District Mental Health Center, Shanghai University of Medicine & Health Sciences, Shanghai, China.
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
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Wang X, Xia Y, Yan R, Sun H, Huang Y, Zou H, Du Y, Hua L, Tang H, Zhou H, Yao Z, Lu Q. The sex differences in anhedonia in major depressive disorder: A resting-state fMRI study. J Affect Disord 2023; 340:555-566. [PMID: 37591350 DOI: 10.1016/j.jad.2023.08.083] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/23/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE The external behavioural manifestations and internal neural mechanisms of anhedonia are sexually dimorphic. This study aimed to explore the sex differences in the regional brain neuroimaging features of anhedonia in the context of major depressive disorder (MDD). METHOD The resting-fMRI by applying amplitude of low-frequency fluctuation (ALFF) method was estimated in 414 patients with MDD (281 high anhedonia [HA], 133 low anhedonia [LA]) and 213 healthy controls (HC). The effects of two factors in patients with MDD were analysed using a 2 (sex: male, female) × 2 (group: HA, LA) ANOVA concerning the brain regions in which statistical differences were identified between patients with MDD and HC. We followed up with patients with HA at baseline, and 43 patients completed a second fMRI scan in remission. Paired t-test was performed to compare the ALFF values of anhedonia-related brain regions between the baseline and remission periods. RESULTS For the sex-by-group interaction, the bilateral insula, right hippocampus, right post cingulum cortex, and left putamen showed significant differences. Furthermore, the abnormally elevated ALFF values in anhedonia-related brain regions at baseline decreased in remission. CONCLUSION Our findings point to the fact that the females showed unique patterns of anhedonia-related brain activity compared to males, which may have clinical implications for interfering with the anhedonia symptoms in MDD. Using task fMRI, we can further examine the distinct characteristics between consumption anhedonia and anticipation anhedonia in MDD.
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Affiliation(s)
- Xiaoqin Wang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Yi Xia
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Rui Yan
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hao Sun
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Yinghong Huang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Haowen Zou
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Yishan Du
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Lingling Hua
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hao Tang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hongliang Zhou
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Zhijian Yao
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China; School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China.
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, China.
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Amiri S, Arbabi M, Rahimi M, Parvaresh-Rizi M, Mirbagheri MM. Effective connectivity between deep brain stimulation targets in individuals with treatment-resistant depression. Brain Commun 2023; 5:fcad256. [PMID: 37901039 PMCID: PMC10600572 DOI: 10.1093/braincomms/fcad256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 06/27/2023] [Accepted: 10/06/2023] [Indexed: 10/31/2023] Open
Abstract
The therapeutic effect of deep brain stimulation on patients with treatment-resistant depression is strongly dependent on the connectivity of the stimulation region with other regions associated with depression. The aims of this study are to characterize the effective connectivity between the brain regions playing important roles in depression and further investigate the underlying pathophysiological mechanisms of treatment-resistant depression and the mechanisms involving deep brain stimulation. Thirty-three individuals with treatment-resistant depression and 29 healthy control subjects were examined. All subjects underwent resting-state functional MRI scanning. The coupling parameters reflecting the causal interactions among deep brain stimulation targets and medial prefrontal cortex were estimated using spectral dynamic causal modelling. Our results showed that compared to the healthy control subjects, in the left hemisphere of treatment-resistant depression patients, the nucleus accumbens was inhibited by the inferior thalamic peduncle and excited the ventral caudate and the subcallosal cingulate gyrus, which in turn excited the lateral habenula. In the right hemisphere, the lateral habenula inhibited the ventral caudate and the nucleus accumbens, both of which inhibited the inferior thalamic peduncle, which in turn inhibited the cingulate gyrus. The ventral caudate excited the lateral habenula and the cingulate gyrus, which excited the medial prefrontal cortex. Furthermore, these effective connectivity links varied between males and females, and the left and right hemispheres. Our findings suggest that intrinsic excitatory/inhibitory connections between deep brain stimulation targets are impaired in treatment-resistant depression patients, and that these connections are sex dependent and hemispherically lateralized. This knowledge can help to better understand the underlying mechanisms of treatment-resistant depression, and along with tractography, structural imaging, and other relevant clinical information, may assist to determine the appropriate region for deep brain stimulation therapy in each treatment-resistant depression patient.
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Affiliation(s)
- Saba Amiri
- Neuroscience Research Center, Shahid Beheshti University of Medical Science, Tehran 1983969367, Iran
| | - Mohammad Arbabi
- Psychiatry, Psychosomatic Medicine Research Center Department, Tehran University of Medical Sciences, Tehran 1419733141, Iran
| | - Milad Rahimi
- Medical Physics and Biomedical Engineering Group, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1461884513, Iran
| | - Mansour Parvaresh-Rizi
- Neurosurgery Department, Iran University of Medical Sciences (IUMS), Tehran 02166509120, Iran
| | - Mehdi M Mirbagheri
- Medical Physics and Biomedical Engineering Group, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1461884513, Iran
- Physical Medicine and Rehabilitation Department, Northwestern University, Chicago IL 60611, USA
- Neural Engineering and Rehabilitation Research Center, Tehran 1146733711, Iran
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6
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Zhao S, Zhang B, Han Y, Guan J, Fang W, Zhang H, Wang A. Increased 10-year cardiovascular disease risk in depressed patients with coexisting subclinical hypothyroidism. Front Psychiatry 2023; 14:1185782. [PMID: 37469355 PMCID: PMC10352495 DOI: 10.3389/fpsyt.2023.1185782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/29/2023] [Indexed: 07/21/2023] Open
Abstract
Purpose The prevalence of depressive disorder (DD) and subclinical hypothyroidism (SH) was almost twofold higher in women compared with men, both of which are confirmed to be related to cardiovascular disease (CVD) risk. The current study aimed to identify the prevalence of CVD risk factors and evaluate the 10-year CVD risk in female depressed patients with and without comorbid SH. Methods We recruited 1744 female inpatients with a diagnosis of DD. Venous blood samples were taken from all patients for lipid and thyroid hormones. Framingham Risk Score (FRS) was used to estimate the 10-year CVD risk. Results Female depressed patients with SH had increased BMI, higher Hamilton Anxiety Scale (HAMA) scores, higher LDL-C, TC, UA, and a higher 10-year CVD risk than euthyroid DD groups. Serum TSH levels and HAMA scores were critical predictive variables for 10-year CVD risk in female depressed patients with comorbid SH. Conclusion Our study suggests that female depressed patients with SH have a high 10-year CVD risk. Serum TSH levels and HAMA scores may be helpful to predict cardiovascular risk in female patients with SH. The increased CVD risk in female depressed patients with comorbid SH requires more attention from researchers and clinicians.
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Affiliation(s)
- Shuai Zhao
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Boyu Zhang
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Yuqin Han
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Jianjun Guan
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Wenmei Fang
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Hongqin Zhang
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Anzhen Wang
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People’s Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
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Lin Y, Su Y. The concurrent and longitudinal impact of sleep on mind wandering in early adolescents. JOURNAL OF RESEARCH ON ADOLESCENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR RESEARCH ON ADOLESCENCE 2023; 33:431-446. [PMID: 36414409 DOI: 10.1111/jora.12815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 05/25/2023]
Abstract
Mind wandering refers to task-unrelated thoughts that can interfere with ongoing tasks and could be sleep-driven across childhood. The present study investigated the mechanisms of the association between early adolescents' sleep and mind wandering with emotional symptoms and executive function as potential mediators. A total of 257 early adolescents (baseline aged 9-13 years old; 131 boys) completed the questionnaires consisting of the Pittsburgh Sleep Quality Index, mind wandering, depression and anxiety symptoms, and executive function. Cross-sectional and longitudinal data revealed a sequential mediation pathway of emotional symptoms and executive function in the association between sleep and mind wandering. The mediating effect of emotional symptoms in the link between sleep quality and mind wandering was significant among boys but not girls.
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Affiliation(s)
- Yue Lin
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Yanjie Su
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
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Xia Y, Sun H, Hua L, Dai Z, Wang X, Tang H, Han Y, Du Y, Zhou H, Zou H, Yao Z, Lu Q. Spontaneous beta power, motor-related beta power and cortical thickness in major depressive disorder with psychomotor disturbance. Neuroimage Clin 2023; 38:103433. [PMID: 37216848 PMCID: PMC10209543 DOI: 10.1016/j.nicl.2023.103433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/05/2023] [Accepted: 05/11/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION The psychomotor disturbance is a common symptom in patients with major depressive disorder (MDD). The neurological mechanisms of psychomotor disturbance are intricate, involving alterations in the structure and function of motor-related regions. However, the relationship among changes in the spontaneous activity, motor-related activity, local cortical thickness, and psychomotor function remains unclear. METHOD A total of 140 patients with MDD and 68 healthy controls performed a simple right-hand visuomotor task during magnetoencephalography (MEG) scanning. All patients were divided into two groups according to the presence of psychomotor slowing. Spontaneous beta power, movement-related beta desynchronization (MRBD), absolute beta power during movement and cortical characteristics in the bilateral primary motor cortex were compared using general linear models with the group as a fixed effect and age as a covariate. Finally, the moderated mediation model was tested to examine the relationship between brain metrics with group differences and psychomotor performance. RESULTS The patients with psychomotor slowing showed higher spontaneous beta power, movement-related beta desynchronization and absolute beta power during movement than patients without psychomotor slowing. Compared with the other two groups, significant decreases were found in cortical thickness of the left primary motor cortex in patients with psychomotor slowing. Our moderated mediation model showed that the increased spontaneous beta power indirectly affected impaired psychomotor performance by abnormal MRBD, and the indirect effects were moderated by cortical thickness. CONCLUSION These results suggest that patients with MDD have aberrant cortical beta activity at rest and during movement, combined with abnormal cortical thickness, contributing to the psychomotor disturbance observed in this patient population.
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Affiliation(s)
- Yi Xia
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Hao Sun
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing 210093, China
| | - Lingling Hua
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing 210096, China
| | - Xiaoqin Wang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Hao Tang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yinglin Han
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yishan Du
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Hongliang Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Haowen Zou
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing 210093, China
| | - Zhijian Yao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing 210093, China.
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing 210096, China.
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9
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Zhang N, Chao J, Cai R, Bao M, Chen H. The association between longitudinal changes in depressive symptoms and cognitive decline among middle-aged and older Chinese adults. Arch Gerontol Geriatr 2023; 109:104960. [PMID: 36796182 DOI: 10.1016/j.archger.2023.104960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/13/2023]
Abstract
OBJECTIVE Depression is associated with cognitive impairment and dementia, but few studies have been done on Chinese adults. This study evaluates the relationship between depressive symptoms status and cognitive function in middle-aged and elderly Chinese adults. METHODS We included 7,968 participants from the Chinese Health and Retirement Longitudinal Survey (CHRALS) with a follow-up of 4 years. Using the Center for Epidemiological Studies Depression Scale to measure depressive symptoms, with a score of 12 or more indicating elevated depressive symptoms. Adjust covariance analysis and generalized linear analysis were used to investigate the relationship between depressive symptoms status (never, new-onset, remission and persistence) and cognitive decline. Restricted cubic spline regression was used to performed the potential nonlinear associations between depressive symptoms and the change scores of cognitive functions. RESULTS During the 4-year follow-up, 1148 participants (14.41%) reported persistent depressive symptoms. The participants who have persistent depressive symptoms with more declines in total cognitive scores (least-square mean = -1.99, 95% CI: -3.70 to -0.27). Compared with never depressive symptoms, participants with persistent depressive symptoms experienced a faster decline in cognitive scores (β = -0.68, 95%CI: -0.98 to -0.38), and small difference (d=0.29) at follow-up. But females with new-onset depression had more cognitive decline than those with persistent depression (least-square mean new-onset - least-square mean persistent=-0.10), its differences in males (least-square mean new-onset - least-square mean persistent=0.03). CONCLUSIONS Participants with persistent depressive symptoms experienced a faster decline in cognitive function, but differently in men and women.
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Affiliation(s)
- Na Zhang
- Department of Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of public health, Southeast University, Nanjing 210009, China
| | - Jianqian Chao
- Department of Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of public health, Southeast University, Nanjing 210009, China.
| | - Ruixue Cai
- Department of Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of public health, Southeast University, Nanjing 210009, China
| | - Min Bao
- Department of Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of public health, Southeast University, Nanjing 210009, China
| | - Hongling Chen
- Department of Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of public health, Southeast University, Nanjing 210009, China
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10
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Zhao S, Du Y, Zhang Y, Wang X, Xia Y, Sun H, Huang Y, Zou H, Wang X, Chen Z, Zhou H, Yan R, Tang H, Lu Q, Yao Z. Gray matter reduction is associated with cognitive dysfunction in depressed patients comorbid with subclinical hypothyroidism. Front Aging Neurosci 2023; 15:1106792. [PMID: 36845662 PMCID: PMC9945283 DOI: 10.3389/fnagi.2023.1106792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/17/2023] [Indexed: 02/11/2023] Open
Abstract
Introduction To explore the association between regional gray matter volume (GMV) and cognitive impairments and ascertain whether the regional brain alterations related to cognitive impairments occur in major depressive disorder (MDD) patients with comorbid subclinical hypothyroidism (SHypo). Methods We enrolled 32 MDD patients, 32 MDD patients with comorbid SHypo, and 32 normal controls and subjected them to thyroid function tests, neurocognitive tests, and magnetic resonance imaging (MRI). Using voxel-based morphometry (VBM) analysis, we examined the pattern of gray matter (GM) in these participants. We also used ANOVA to detect group differences and partial correlation to explore the potential association between GMV alterations and cognitive tests in comorbid patients. Results The comorbid patients exhibited significantly smaller GMV in the right middle frontal gyrus (MFG) than the non-comorbid group. Furthermore, the partial correlation analysis showed that GMV of the right MFG was associated with poor executive function (EF) performance in comorbid patients. Conclusion These findings provide valuable insight into the relationship between the alteration of GMV and cognitive dysfunction of MDD patients with comorbid SHypo.
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Affiliation(s)
- Shuai Zhao
- Department of Psychiatry, The Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Hefei Fourth People’s Hospital, Hefei, China,Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China,Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yishan Du
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoqin Wang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yi Xia
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Sun
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yinghong Huang
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China
| | - Haowen Zou
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xumiao Wang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zhilu Chen
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hongliang Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Rui Yan
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Tang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, China,*Correspondence: Qing Lu, ; Zhijian Yao,
| | - Zhijian Yao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China,Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China,*Correspondence: Qing Lu, ; Zhijian Yao,
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11
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Chen RF, Cai Y, Zhu ZH, Hou WL, Chen P, Wang J, Jia YM, Zhu ZB, Zhang YH, Tao LY, Wu JW, Zhang J, Zhang H, Wang ZX, Jia QF, Hui L. Sleep disorder as a clinical risk factor of major depression: associated with cognitive impairment. Asian J Psychiatr 2022; 76:103228. [PMID: 35973338 DOI: 10.1016/j.ajp.2022.103228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/08/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND This research aims explored the sleep disorder (SD) role in major depressive disorder (MDD), and the SD influencing their cognition. METHODS 372 MDD patients and 457 healthy controls (HCs) were enrolled. RESULTS Patients increased a 38.88 times SD risk compared with HCs. In patients, visuospatial/constructional score was lower in SD than non-SD, and PSQI score was negatively associated with visuospatial/constructional score of SD. In SD and non-SD, RBANS scores were lower in MDD than HCs, excepted for visuospatial/constructional in non-SD. CONCLUSION The SD as a MDD risk factor, has more serious visuospatial/constructional impairment alleviated via improving sleep/depression in patients.
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Affiliation(s)
- Ru Feng Chen
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Yuan Cai
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Zhen Hua Zhu
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Wen Long Hou
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Peng Chen
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Jing Wang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Yi Ming Jia
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, PR China
| | - Zheng Bao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, PR China
| | - Yong Hong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, PR China
| | - Lu Yang Tao
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Jia Wei Wu
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Jianping Zhang
- Department of Psychiatry, Weill Cornell Medical College, Cornell University, New York, NY 10605, USA
| | - Huiping Zhang
- Departments of Psychiatry and Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118-2526, USA
| | - Zhi Xin Wang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China.
| | - Qiu Fang Jia
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China.
| | - Li Hui
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China.
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12
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Wang M, Yin D, Liu L, Zhou S, Liu Q, Tian H, Wei J, Zhang K, Wang G, Chen Q, Zhu G, Wang X, Si T, Yu X, Lv X, Zhang N. Features of cognitive impairment and related risk factors in patients with major depressive disorder: A case-control study. J Affect Disord 2022; 307:29-36. [PMID: 35358550 DOI: 10.1016/j.jad.2022.03.063] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/11/2022] [Accepted: 03/24/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Cognitive impairment (CI) is a common symptom contributing to functional loss in major depressive disorder (MDD). However, the features of CI and its related risk factors in young and middle-aged MDD patients remain unclear. METHODS In this case-control study, 18- to 55-year-old acute-onset MDD patients and healthy controls (HCs) were recruited from nine centers in China. MDD patients were diagnosed based on the DSM-IV, the Mini-International Neuropsychiatric Interview, and a 17-item Hamilton Rating Scale for Depression score ≥ 14. Cognitive function, including attention/vigilance, learning, memory, processing speed and executive function, was assessed with a neuropsychological battery and compared between MDD patients and HCs. MDD patients scoring 1.5 SDs below the mean HC score in at least 2 domains were defined as having CI. Logistic regression analysis was used to identify risk factors for CI in MDD patients. RESULTS Compared with HCs (n = 302), MDD patients (n = 631) showed significant impairment in all cognitive domains (P < 0.001); 168 MDD patients (26.6%) had CI. Male sex (OR: 1.712; 95% CI: 1.165-2.514; P < 0.01) was positively correlated with CI; age of first onset (OR: 0.974; 95% CI: 0.957-0.991; P < 0.05) and comorbid anxiety disorders (OR: 0.514; 95% CI: 0.332-0.797; P < 0.01) were negatively correlated with CI. LIMITATIONS Biomarkers and neuroimaging were not used to investigate the possible biological mechanism and neural basis of CI in MDD. CONCLUSIONS CI was prominent in adults with acute-onset MDD; male sex and younger age of first onset were independent risk factors, and comorbid anxiety disorders were a protective factor.
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Affiliation(s)
- Meisheng Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Deju Yin
- Department of Neurology, Taizhou People's Hospital, Taizhou, China
| | - Lijun Liu
- Department of Psychological Medicine, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), National Health Commission Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Shuzhe Zhou
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), National Health Commission Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Qi Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), National Health Commission Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Hongjun Tian
- Nankai University Affiliated Anding Hospital, Tianjin Mental Health Center, Tianjin, China
| | - Jing Wei
- Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Gang Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Qiaoling Chen
- Department of Psychiatry, Dalian Seventh People's Hospital, Dalian, China
| | - Gang Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Liaoning, China
| | - Xueyi Wang
- Department of Psychiatry, The First Hospital of Hebei Medical University, Mental Health Institute of Hebei Medical University, Shijiazhuang, China
| | - Tianmei Si
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), National Health Commission Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Xin Yu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), National Health Commission Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Xiaozhen Lv
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), National Health Commission Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.
| | - Nan Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
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13
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Kantrowitz JT, Dong Z, Milak MS, Rashid R, Kegeles LS, Javitt DC, Lieberman JA, John Mann J. Ventromedial prefrontal cortex/anterior cingulate cortex Glx, glutamate, and GABA levels in medication-free major depressive disorder. Transl Psychiatry 2021; 11:419. [PMID: 34354048 PMCID: PMC8342485 DOI: 10.1038/s41398-021-01541-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/12/2021] [Accepted: 07/23/2021] [Indexed: 02/07/2023] Open
Abstract
Glutamate (Glu) and gamma-aminobutyric acid (GABA) are implicated in the pathophysiology of major depressive disorder (MDD). GABA levels or GABAergic interneuron numbers are generally low in MDD, potentially disinhibiting Glu release. It is unclear whether Glu release or turnover is increased in depression. Conversely, a meta-analysis of prefrontal proton magnetic resonance spectroscopy (1H MRS) studies in MDD finds low Glx (combination of glutamate and glutamine) in medicated MDD. We hypothesize that elevated Glx or Glu may be a marker of more severe, untreated MDD. We examined ventromedial prefrontal cortex/anterior cingulate cortex (vmPFC/ACC) Glx and glutamate levels using 1H MRS in 34 medication-free, symptomatic, chronically ill MDD patients and 32 healthy volunteers, and GABA levels in a subsample. Elevated Glx and Glu were observed in MDD compared with healthy volunteers, with the highest levels seen in males with MDD. vmPFC/ACC GABA was low in MDD. Higher Glx levels correlated with more severe depression and lower GABA. MDD severity and diagnosis were both linked to higher Glx in vmPFC/ACC. Low GABA in a subset of these patients is consistent with our hypothesized model of low GABA leading to glutamate disinhibition in MDD. This finding and model are consistent with our previously reported findings that the NMDAR-antagonist antidepressant effect is proportional to the reduction of vmPFC/ACC Glx or Glu levels.
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Affiliation(s)
- Joshua T. Kantrowitz
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan Kline Institute, 140 Old Orangeburg Road, Orangeburg, NY USA
| | - Zhengchao Dong
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA
| | - Matthew S. Milak
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA
| | - Rain Rashid
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA
| | - Lawrence S. Kegeles
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA ,grid.21729.3f0000000419368729Department of Radiology, Columbia University, College of Physicians and Surgeons, New York, NY USA
| | - Daniel C. Javitt
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan Kline Institute, 140 Old Orangeburg Road, Orangeburg, NY USA
| | - Jeffrey A. Lieberman
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA
| | - J. John Mann
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, College of Physicians and Surgeons, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA ,grid.21729.3f0000000419368729Department of Radiology, Columbia University, College of Physicians and Surgeons, New York, NY USA
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