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Brain Volume Abnormalities in Youth at High Risk for Depression: Adolescent Brain and Cognitive Development Study. J Am Acad Child Adolesc Psychiatry 2020; 59:1178-1188. [PMID: 31634568 PMCID: PMC7165045 DOI: 10.1016/j.jaac.2019.09.032] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 09/16/2019] [Accepted: 10/10/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Children of parents with depression are two to three times more likely to develop major depressive disorder than children without parental history; however, subcortical brain volume abnormalities characterizing major depressive disorder risk remain unclear. The Adolescent Brain and Cognitive Development (ABCD) Study provides an opportunity to identify subcortical differences associated with parental depressive history. METHOD Structural magnetic resonance data were acquired from 9- and 10-year-old children (N = 11,876; release 1.1, n = 4,521; release 2.0.1, n = 7,355). Approximately one-third of the children had a parental depressive history, providing sufficient power to test differences in subcortical brain volume between low- and high-risk youths. Children from release 1.1 were examined as a discovery sample, and we sought to replicate effects in release 2.0.1. Secondary analyses tested group differences in the prevalence of depressive disorders and clarified whether subcortical brain differences were present in youths with a lifetime depressive disorder history. RESULTS Parental depressive history was related to smaller right putamen volume in the discovery (release 1.1; d = -0.10) and replication (release 2.0.1; d = -0.10) samples. However, in release 1.1, this effect was driven by maternal depressive history (d = -0.14), whereas in release 2.0.1, paternal depressive history showed a stronger relationship with putamen volume (d = -0.09). Furthermore, high-risk children exhibited a near twofold greater occurrence of depressive disorders relative to low-risk youths (maternal history odds ratio =1.99; paternal history odds ratio = 1.45), but youths with a lifetime depressive history did not exhibit significant subcortical abnormalities. CONCLUSION A parental depressive history was associated with smaller putamen volume, which may affect reward learning processes that confer increased risk for major depressive disorder.
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Stolicyn A, Harris MA, Shen X, Barbu MC, Adams MJ, Hawkins EL, de Nooij L, Yeung HW, Murray AD, Lawrie SM, Steele JD, McIntosh AM, Whalley HC. Automated classification of depression from structural brain measures across two independent community-based cohorts. Hum Brain Mapp 2020; 41:3922-3937. [PMID: 32558996 PMCID: PMC7469862 DOI: 10.1002/hbm.25095] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 05/16/2020] [Accepted: 05/25/2020] [Indexed: 12/30/2022] Open
Abstract
Major depressive disorder (MDD) has been the subject of many neuroimaging case-control classification studies. Although some studies report accuracies ≥80%, most have investigated relatively small samples of clinically-ascertained, currently symptomatic cases, and did not attempt replication in larger samples. We here first aimed to replicate previously reported classification accuracies in a small, well-phenotyped community-based group of current MDD cases with clinical interview-based diagnoses (from STratifying Resilience and Depression Longitudinally cohort, 'STRADL'). We performed a set of exploratory predictive classification analyses with measures related to brain morphometry and white matter integrity. We applied three classifier types-SVM, penalised logistic regression or decision tree-either with or without optimisation, and with or without feature selection. We then determined whether similar accuracies could be replicated in a larger independent population-based sample with self-reported current depression (UK Biobank cohort). Additional analyses extended to lifetime MDD diagnoses-remitted MDD in STRADL, and lifetime-experienced MDD in UK Biobank. The highest cross-validation accuracy (75%) was achieved in the initial current MDD sample with a decision tree classifier and cortical surface area features. The most frequently selected decision tree split variables included surface areas of bilateral caudal anterior cingulate, left lingual gyrus, left superior frontal, right precentral and paracentral regions. High accuracy was not achieved in the larger samples with self-reported current depression (53.73%), with remitted MDD (57.48%), or with lifetime-experienced MDD (52.68-60.29%). Our results indicate that high predictive classification accuracies may not immediately translate to larger samples with broader criteria for depression, and may not be robust across different classification approaches.
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Affiliation(s)
- Aleks Stolicyn
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Mathew A. Harris
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Xueyi Shen
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Miruna C. Barbu
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Mark J. Adams
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Emma L. Hawkins
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Laura de Nooij
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Hon Wah Yeung
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Alison D. Murray
- Aberdeen Biomedical Imaging CentreUniversity of AberdeenLilian Sutton Building, ForesterhillAberdeenUK
| | - Stephen M. Lawrie
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - J. Douglas Steele
- School of Medicine (Division of Imaging Science and Technology)University of DundeeDundeeUK
| | - Andrew M. McIntosh
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
| | - Heather C. Whalley
- Division of Psychiatry, University of EdinburghKennedy Tower, Royal Edinburgh Hospital, Morningside ParkEdinburghUK
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In Vivo Structural and Functional Abnormalities of the Striatums Is Related to Decreased Astrocytic BDNF in Itpr2-/- Mice Exhibiting Depressive-Like Behavior. Neural Plast 2020; 2020:8830670. [PMID: 32952549 PMCID: PMC7481938 DOI: 10.1155/2020/8830670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/07/2020] [Accepted: 08/17/2020] [Indexed: 11/18/2022] Open
Abstract
Background Previous researches indicate that Itpr2−/− mice (inositol 1,4,5-trisphosphate receptor type 2 knockout mice) show depressive-like symptoms; however, little is known regarding the in vivo neurobiological effect of Itpr2 as well as the specific pattern of brain abnormalities in Itpr2−/− mice. Methods/Materials. First, behavioral tests, structural magnetic resonance imaging (MRI), and resting-state functional MRI were performed on Itpr2−/− mice and matched healthy controls. Voxel-based morphometry and seed-based voxel-wise functional connectivity (FC) were, respectively, calculated to assess the gray matter volume and the functional activities of the brain in vivo. Second, the sample of relevant changed brain regions was extracted to detect the expression of BDNF. Finally, to further validate the relationship between Itpr2 deficiency and the observed brain abnormalities, we performed Western blotting to detect the expression of pro-BDNF and mBDNF in Itpr2−/− C8-D1A (a type of astrocyte). Results Compared with controls, Itpr2−/− mice showed depressive-like behaviors as well as significantly lower gray matter volume in striatums mainly, periaqueductal GM, and the right frontoparietal cortices as well as lower striatal-hippocampal and striatal-right parietal cortex (mainly for the primary and secondary somatosensory cortex) FC. Moreover, decreased expression of mBDNF was found in both sample tissues of the striatum in Itpr2−/− mice and Itpr2−/− C8-D1A. Conclusion By combining biochemistry and MR analyses, this study provides evidences to support that the Itpr2-related neuropathological effect is possibly mediated by the striatal abnormality associated with dysfunctional astrocytes in Itpr2−/− mice in vivo, thus may help us better understand underlying mechanisms of Itpr2 deficiency as well as its relation to depressive-like behavior.
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104
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Lee S, Pyun SB, Choi KW, Tae WS. Shape and Volumetric Differences in the Corpus Callosum between Patients with Major Depressive Disorder and Healthy Controls. Psychiatry Investig 2020; 17:941-950. [PMID: 32933236 PMCID: PMC7538242 DOI: 10.30773/pi.2020.0157] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 07/29/2020] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the morphometric differences in the corpus callosum between patients with major depressive disorder (MDD) and healthy controls and analyze their relationship to gray matter changes. METHODS Twenty female MDD patients and 21 healthy controls (HCs) were included in the study. To identify the difference in the regional gray matter concentration (GMC), VBM was performed with T1 magnetic resonance imaging. The shape analysis of the corpus callosum was processed. Diffusion tensor imaging (DTI) fiber-tracking was performed to identify the regional tract pathways in the damaged corpus callosal areas. RESULTS In the shape analysis, regional shape contractions in the rostrum and splenium were found in the MDD patients. VBM analysis showed a significantly lower white matter concentration in the genu and splenium, and a significantly lower GMC in the frontal, limbic, insular, and temporal regions of the MDD patients compared to the HCs. In DTI fiber-tracking, the fibers crossing the damaged areas of the genu, rostrum, and splenium were anatomically connected to the areas of lower GMC in MDD patients. CONCLUSION These findings support that major depressive disorder may be due to disturbances in multiple neuronal circuits, especially those associated with the corpus callosum.
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Affiliation(s)
- Sekwang Lee
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sung-Bom Pyun
- Department of Physical Medicine and Rehabilitation, Korea University College of Medicine, Seoul, Republic of Korea.,Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Kwan Woo Choi
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
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105
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Nan D, Yuqi C, Zonglin S, Chenglong D, Na L, Fang L, Cong Z, Xiufeng X. Association of a SIRT1 polymorphism with changes of gray matter volume in patients with first-episode medication-naïve major depression. Psychiatry Res Neuroimaging 2020; 301:111101. [PMID: 32447184 DOI: 10.1016/j.pscychresns.2020.111101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 02/18/2020] [Accepted: 04/23/2020] [Indexed: 01/08/2023]
Abstract
A single nucleotide polymorphism (SNP) rs12415800 of the silent mating type information regulation 2 homolog 1 gene (SIRT1) has shown a genome-wide significant association with major depression disorder (MDD) in a recent GWAS using a large sample. Subsequent studies of SIRT1's biological functions were supportive of a possible role in the pathophysiology of MDD. However, SIRT1-mediated physiopathology of MDD may be brain region specific. In the present study, we investigated the impact of SIRT1 rs12415800 genotypes on gray matter volumes (GMV) among different brain regions in both MDD patients and healthy controls. The rs12415800 was genotyped in 170 patients with first-episode medication-naïve MDD (cases) and 170 healthy controls. Magnetic resonance imaging was conducted and the voxel-based morphometry (VBM) approach was employed to analyze obtained images. When compared with the cases carrying GG genotype, the cases carrying GA or AA genotypes (A for risk allele) showed decreased GMV in right precuneus, left cuneus/precuneus, and right frontal superior. In contrast, the rs12415800-associated GMV abnormalities were not observed in controls. The SIRT1-rs12415800 polymorphism may be associated with the changes of GMV in MDD patients.
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Affiliation(s)
- Dai Nan
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Cheng Yuqi
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Shen Zonglin
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Dong Chenglong
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Li Na
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Liu Fang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Zhou Cong
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Xu Xiufeng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China.
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106
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Impaired neuronal and astroglial metabolic activity in chronic unpredictable mild stress model of depression: Reversal of behavioral and metabolic deficit with lanicemine. Neurochem Int 2020; 137:104750. [DOI: 10.1016/j.neuint.2020.104750] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 04/05/2020] [Accepted: 04/24/2020] [Indexed: 01/20/2023]
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107
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Sleep disturbance-related depressive symptom and brain volume reduction in shift-working nurses. Sci Rep 2020; 10:9100. [PMID: 32499549 PMCID: PMC7272417 DOI: 10.1038/s41598-020-66066-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 05/12/2020] [Indexed: 12/19/2022] Open
Abstract
Disturbed sleep is the most common effect of shift work. A large corpus of research indicates an association between sleep disturbance and depressive symptom in shift workers. In this study, we proposed the mediating role of grey matter (GM) structure in the relationship between sleep disturbance and depressive symptom. We collected structural MRI (sMRI) data as well as assessing the level of sleep disturbance and depressive symptom with the Pittsburgh Sleep disturbance Index and Zung Self-Rating Depression Scale, respectively, in 20 shift-working nurses and 19 day-working nurses. The shift-working nurses reported greater severity of sleep disturbance and depressive symptom, and furthermore, they exhibited reduced GM volume in the left postcentral gyrus (PostCG), right PostCG, right paracentral lobule, and left superior temporal gyrus (STG), compared to the day-working nurses. For each of the four brain regions, we formulated a mediation hypothesis by developing a mediation model that represents a causal chain between GM volume, sleep disturbance, and depressive symptom. Tests of the hypothesis on the mediation of GM volume revealed that inter-individual variations in left PostCG volume and left STG volume accounted for the influence of sleep disturbance on depressive symptom. These results suggest that structural alterations in PostCG and STG play an intervening role in the development of depressive symptom following sleep disturbance. We propose the need of considering neuroanatomical abnormalities in explaining and understanding symptomatic changes induced by sleep disturbance.
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108
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Nuggerud-Galeas S, Sáez-Benito Suescun L, Berenguer Torrijo N, Sáez-Benito Suescun A, Aguilar-Latorre A, Magallón Botaya R, Oliván Blázquez B. Analysis of depressive episodes, their recurrence and pharmacologic treatment in primary care patients: A retrospective descriptive study. PLoS One 2020; 15:e0233454. [PMID: 32437398 PMCID: PMC7241802 DOI: 10.1371/journal.pone.0233454] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 05/05/2020] [Indexed: 11/29/2022] Open
Abstract
Background Depression is one of the most prevalent health problems, frequently being a medium- and long-term condition, with a high comorbidity rate and with frequent relapses and recurrences. Although numerous studies have compared the effectiveness of specific antidepressant therapy drugs and have assessed relapses, scientific evidence on the relationship between pharmacologic treatments and recurrence is scarce. The objective of this study is to describe depressive episodes in a primary care patient cohort, the percentage of depression recurrences and the administered pharmacologic treatment, from a naturalistic perspective. Methods Retrospective descriptive study. 957 subjects were included. The dependent variable was a depression diagnosis and independent variables were: gender, age at time of data collection; age of onset, first-episode treatment, number of recurrences, age at recurrences, treatment prescribed for recurrences using therapeutic groups categorization. Results Recurrences are frequent, affecting more than 40% of the population. In the first episode, 13.69% of the patients were not prescribed pharmacological treatment, but this percentage decreased over the following depression episodes. 80.9% of the patients who did not receive drug treatment in the first depression episode did not experience subsequent episodes. Monotherapy, and specifically, SSRIs were the most frequently prescribed treatment option for all depressive episodes. Regards the combined pharmacologic treatment, the most frequent drug combinations were SSRIs and benzodiazepines. Limitations In order to increase the power of results, the statistical analysis was performed using therapeutic groups categorization, not individually analyzing each drug and dose. Conclusions Depressive episode recurrence is frequent in primary care patients. Further studies having a prospective design are needed in order to expand on this issue.
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Affiliation(s)
| | | | | | | | | | - Rosa Magallón Botaya
- Institute for Health Research Aragón, Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, University of Zaragoza, Zaragoza, Spain
- * E-mail: ,
| | - Bárbara Oliván Blázquez
- Institute for Health Research Aragón, Zaragoza, Spain
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
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109
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Dendritic remodeling of D1 neurons by RhoA/Rho-kinase mediates depression-like behavior. Mol Psychiatry 2020; 25:1022-1034. [PMID: 30120419 PMCID: PMC6378138 DOI: 10.1038/s41380-018-0211-5] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/24/2018] [Accepted: 06/18/2018] [Indexed: 12/20/2022]
Abstract
Depression alters the structure and function of brain reward circuitry. Preclinical evidence suggests that medium spiny neurons (MSNs) in the nucleus accumbens (NAc) undergo structural plasticity; however, the molecular mechanism and behavioral significance is poorly understood. Here we report that atrophy of D1, but not D2 receptor containing MSNs is strongly associated with social avoidance in mice subject to social defeat stress. D1-MSN atrophy is caused by cell-type specific upregulation of the GTPase RhoA and its effector Rho-kinase. Pharmacologic and genetic reduction of activated RhoA prevents depressive outcomes to stress by preventing loss of D1-MSN dendritic arbor. Pharmacologic and genetic promotion of activated RhoA enhances depressive outcomes by reducing D1-MSN dendritic arbor and is sufficient to promote depressive-like behaviors in the absence of stress. Chronic treatment with Rho-kinase inhibitor Y-27632 after chronic social defeat stress reverses depression-like behaviors by restoring D1-MSN dendritic complexity. Taken together, our data indicate functional roles for RhoA and Rho-kinase in mediating depression-like behaviors via dendritic remodeling of NAc D1-MSNs and may prove a useful target for new depression therapeutics.
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110
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Cognitive behavioral therapy may have a rehabilitative, not normalizing, effect on functional connectivity in adolescent depression. J Affect Disord 2020; 268:1-11. [PMID: 32157998 DOI: 10.1016/j.jad.2020.01.103] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 12/05/2019] [Accepted: 01/20/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Whether the differences in brain structure and function, characteristic of adult major depressive disorder (MDD1), are present in adolescent MDD is still unclear, but it has been shown that cognitive behavioral therapy (CBT2) affects resting-state functional connectivity in both adult and adolescent MDD patients, with the claim that CBT has a normalizing effect on MDD-related functional disruption, but this has not been directly tested. METHODS 128 adolescent MDD patients and 40 adolescent controls were enrolled in the study. We investigated pre-treatment differences in cortical thickness, white matter volume, and resting-state functional connectivity. We also investigated the longitudinal effects of CBT on resting-state functional connectivity, and the relationship between pre-treatment functional disruption and CBT-related changes to resting-state functional connectivity was assessed by the correlation of pre-treatment cross-sectional effects and longitudinal CBT-related effects across multiple brain regions. RESULTS Patients had greater cortical thickness and white matter volume within fronto-limbic regions of the brain. Patients had greater pre-treatment resting-state functional connectivity within the default-mode, fronto-limbic, central-executive, and salience networks. CBT increased resting-state functional connectivity of the subgenual anterior cingulate and amygdala seeds with predominantly frontal regions. Regions showing the greatest pre-treatment functional disruption showed the weakest CBT-related changes. LIMITATIONS For ethical reasons, there was no placebo group. CONCLUSIONS Adolescent MDD is associated with structural and functional differences also seen in adult patients. CBT-related changes in resting-state functional connectivity do not appear to show a normalizing effect, but instead indicate rehabilitative effects on resting-state functional connectivity.
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111
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Zhou G, Pan Y, Yang J, Zhang X, Guo X, Luo Y. Sleep Electroencephalographic Response to Respiratory Events in Patients With Moderate Sleep Apnea-Hypopnea Syndrome. Front Neurosci 2020; 14:310. [PMID: 32372906 PMCID: PMC7186482 DOI: 10.3389/fnins.2020.00310] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 03/17/2020] [Indexed: 12/03/2022] Open
Abstract
Sleep apnea–hypopnea syndrome is a common breathing disorder that can lead to organic brain injury, prevent memory consolidation, and cause other adverse mental-related complications. Brain activity while sleeping during respiratory events is related to these dysfunctions. In this study, we analyzed variations in electroencephalography (EEG) signals before, during, and after such events. Absolute and relative powers, as well as symbolic transfer entropy (STE) of scalp EEG signals, were calculated to unveil the activity of brain regions and information interactions between them, respectively. During the respiratory events, only low-frequency power increased during rapid eye movement (REM) stage (δ-band absolute and relative power) and N1 (δ- and θ-band absolute power, δ-band relative power) sleep. But absolute power increased in low- and medium-frequency bands (δ, θ, α, and σ bands), and relative power increased mainly in the medium-frequency band (α and σ bands) during stage N2 sleep. After the respiratory events, absolute power increased in all frequency bands and sleep stages, but relative power increased in medium and high frequencies. Regarding information interactions, the β-band STE decreased during and after events. In the γ band, the intrahemispheric STE increased during events and decreased afterward. Moreover, the interhemisphere STE increased after events during REM and stage N1 sleep. The EEG changes throughout respiratory events are supporting evidence for previous EEG knowledge of the impact of sleep apnea on the brain. These findings may provide insights into the influence of the sleep apnea–hypopnea syndrome on cognitive function and neuropsychiatric defects.
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Affiliation(s)
- Guolin Zhou
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Yu Pan
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Juan Yang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Xiangmin Zhang
- Sleep-Disordered Breathing Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xinwen Guo
- Department of Psychology, Guangdong 999 Brain Hospital, Guangzhou, China
| | - Yuxi Luo
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instruments, Sun Yat-sen University, Guangzhou, China
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112
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Khan AR, Geiger L, Wiborg O, Czéh B. Stress-Induced Morphological, Cellular and Molecular Changes in the Brain-Lessons Learned from the Chronic Mild Stress Model of Depression. Cells 2020; 9:cells9041026. [PMID: 32326205 PMCID: PMC7226496 DOI: 10.3390/cells9041026] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/14/2020] [Accepted: 04/19/2020] [Indexed: 02/07/2023] Open
Abstract
Major depressive disorder (MDD) is a severe illness imposing an increasing social and economic burden worldwide. Numerous rodent models have been developed to investigate the pathophysiology of MDD. One of the best characterized and most widely used models is the chronic mild stress (CMS) model which was developed more than 30 years ago by Paul Willner. More than 2000 published studies used this model, mainly to assess novel compounds with potential antidepressant efficacy. Most of these studies examined the behavioral consequences of stress and concomitant drug intervention. Much fewer studies focused on the CMS-induced neurobiological changes. However, the stress-induced cellular and molecular changes are important as they may serve as potential translational biomarkers and increase our understanding of the pathophysiology of MDD. Here, we summarize current knowledge on the structural and molecular alterations in the brain that have been described using the CMS model. We discuss the latest neuroimaging and postmortem histopathological data as well as molecular changes including recent findings on microRNA levels. Different chronic stress paradigms occasionally deliver dissimilar findings, but the available experimental data provide convincing evidence that the CMS model has a high translational value. Future studies examining the neurobiological changes in the CMS model in combination with clinically effective antidepressant drug intervention will likely deliver further valuable information on the pathophysiology of MDD.
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Affiliation(s)
- Ahmad Raza Khan
- Centre of Biomedical Research, Sanjay Gandhi Post Graduate Institute (SGPGI) Campus, Lucknow-226017, U.P, India;
| | - Lili Geiger
- Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, 7624 Pécs, Hungary;
- Department of Laboratory Medicine, Medical School, University of Pécs, 7624 Pécs, Hungary
| | - Ove Wiborg
- Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark;
| | - Boldizsár Czéh
- Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, 7624 Pécs, Hungary;
- Department of Laboratory Medicine, Medical School, University of Pécs, 7624 Pécs, Hungary
- Correspondence:
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113
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Scarpazza C, Ha M, Baecker L, Garcia-Dias R, Pinaya WHL, Vieira S, Mechelli A. Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders. Transl Psychiatry 2020; 10:107. [PMID: 32313006 PMCID: PMC7170931 DOI: 10.1038/s41398-020-0798-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/25/2020] [Indexed: 12/14/2022] Open
Abstract
A pivotal aim of psychiatric and neurological research is to promote the translation of the findings into clinical practice to improve diagnostic and prognostic assessment of individual patients. Structural neuroimaging holds much promise, with neuroanatomical measures accounting for up to 40% of the variance in clinical outcome. Building on these findings, a number of imaging-based clinical tools have been developed to make diagnostic and prognostic inferences about individual patients from their structural Magnetic Resonance Imaging scans. This systematic review describes and compares the technical characteristics of the available tools, with the aim to assess their translational potential into real-world clinical settings. The results reveal that a total of eight tools. All of these were specifically developed for neurological disorders, and as such are not suitable for application to psychiatric disorders. Furthermore, most of the tools were trained and validated in a single dataset, which can result in poor generalizability, or using a small number of individuals, which can cause overoptimistic results. In addition, all of the tools rely on two strategies to detect brain abnormalities in single individuals, one based on univariate comparison, and the other based on multivariate machine-learning algorithms. We discuss current barriers to the adoption of these tools in clinical practice and propose a checklist of pivotal characteristics that should be included in an "ideal" neuroimaging-based clinical tool for brain disorders.
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Affiliation(s)
- C Scarpazza
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.
- Department of General Psychology, University of Padova, Padova, Italy.
| | - M Ha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - L Baecker
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - R Garcia-Dias
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - W H L Pinaya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, SP, Brazil
| | - S Vieira
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - A Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
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114
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Choi KW, Han KM, Kim H, Kim A, Kang W, Kang Y, Tae WS, Ham BJ. Comparison of shape alterations of the thalamus and caudate nucleus between drug-naïve major depressive disorder patients and healthy controls. J Affect Disord 2020; 264:279-285. [PMID: 32056762 DOI: 10.1016/j.jad.2020.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 12/26/2019] [Accepted: 01/03/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Although structural alterations have been reported in patients with major depressive disorder (MDD), very few studies have compared the shape alterations of the subcortical regions between drug-naïve MDD patients and healthy controls (HCs). Therefore, we investigated and compared the subcortical shape alterations and volumetric changes between drug-naïve MDD patients and HCs in this study. METHODS This study included 45 drug-naïve MDD patients and 83 HCs, who underwent three-dimensional (3-D) T1-weighted structural magnetic resonance imaging. Surface-based vertex analysis (SVA) was performed with automated segmentation of the bilateral caudate nuclei, putamina, nuclei accumbens, thalami, pallidum, hippocampi, amygdalae, and brainstem. SVA revealed regional contractions of the thalamus (bilateral medial and lateral nuclei) and right caudate nucleus (medial wall and anterosuperior areas) in the drug-naïve MDD patients when compared to HCs RESULTS: In volume analysis, the drug-naïve MDD patients showed a significant decrease in the volume of bilateral thalami compared with HCs (after Bonferroni correction p < 0.003). We identified morphometric contractions in bilateral thalami and right caudate nucleus in the drug-naïve MDD patients (p < 0.05). CONCLUSIONS The present study implied that with cortical shape changes, the subcortical brain alterations could contribute to emotional dysregulation in the drug-naïve MDD patients.
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Affiliation(s)
- Kwan Woo Choi
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyun Kim
- Department of Anatomy, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University College of Medicine, #73, Inchon-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University College of Medicine, #73, Inchon-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
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115
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Li Q, Zhao Y, Chen Z, Long J, Dai J, Huang X, Lui S, Radua J, Vieta E, Kemp GJ, Sweeney JA, Li F, Gong Q. Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder. Neuropsychopharmacology 2020; 45:703-712. [PMID: 31694045 PMCID: PMC7021694 DOI: 10.1038/s41386-019-0563-9] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/25/2019] [Accepted: 10/25/2019] [Indexed: 02/05/2023]
Abstract
Alterations in cortical thickness have been identified in major depressive disorder (MDD), but findings have been variable and inconsistent. To date, no reliable tools have been available for the meta-analysis of surface-based morphometric (SBM) studies to effectively characterize what has been learned in previous studies, and drug treatments may have differentially impacted findings. We conducted a comprehensive meta-analysis of magnetic resonance imaging (MRI) studies that explored cortical thickness in medication-free patients with MDD, using a newly developed meta-analytic mask compatible with seed-based d mapping (SDM) meta-analytic software. We performed the meta-regression to explore the effects of demographics and clinical characteristics on variation in cortical thickness in MDD. Fifteen studies describing 529 patients and 586 healthy controls (HCs) were included. Medication-free patients with MDD, relative to HCs, showed a complex pattern of increased cortical thickness in some areas (posterior cingulate cortex, ventromedial prefrontal cortex, and anterior cingulate cortex) and decreased cortical thickness in others (gyrus rectus, orbital segment of the superior frontal gyrus, and middle temporal gyrus). Most findings in the whole sample analysis were confirmed in a meta-analysis of studies recruiting medication-naive patients. Using the new mask specifically developed for SBM studies, this SDM meta-analysis provides evidence for regional cortical thickness alterations in MDD, mainly involving increased cortical thickness in the default mode network and decreased cortical thickness in the orbitofrontal and temporal cortex.
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Affiliation(s)
- Qian Li
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Youjin Zhao
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Ziqi Chen
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Jingyi Long
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Jing Dai
- Department of Psychoradiology, The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Xiaoqi Huang
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Su Lui
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Joaquim Radua
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain ,0000 0004 1937 0626grid.4714.6Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden ,0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Eduard Vieta
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain ,0000 0004 1937 0247grid.5841.8Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Graham J. Kemp
- 0000 0004 1936 8470grid.10025.36Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | - John A. Sweeney
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0001 2179 9593grid.24827.3bDepartment of Psychiatry, University of Cincinnati, Cincinnati, OH USA
| | - Fei Li
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, P. R. China. .,Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041, China.
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, P. R. China. .,Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041, China.
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116
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Li J, Yuan B, Li G, Lu X, Guo Y, Yang Y, Liang M, Ding J, Zhou Q. Convergent syndromic atrophy of pain and emotional systems in patients with irritable bowel syndrome and depressive symptoms. Neurosci Lett 2020; 723:134865. [PMID: 32109554 DOI: 10.1016/j.neulet.2020.134865] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 02/22/2020] [Accepted: 02/24/2020] [Indexed: 12/19/2022]
Abstract
Irritable bowel syndrome (IBS) is a brain-gut disorder that is often accompanied by psychiatric comorbidities, particularly depression. However, the neuroanatomical substrates of IBS with depressive symptoms (DEP-IBS) and how depressive symptoms and brain morphology modulate IBS symptoms remain unknown. In this study, structural MRI data were processed using a voxel-based morphometry technique and one-way analysis of covariance (ANCOVA) and post-hoc t-tests were performed to compare gray matter volume (GMV) among 28 patients with DEP-IBS, 21 patients with IBS who lacked depressive symptoms (nDEP-IBS), and 36 healthy controls (HC). Correlation and mediation analyses were performed to evaluate the relationship between differing GMV in DEP-IBS and clinical variables. We found that GMV in the bilateral prefrontal, insular, and dorsal striatal areas, as well as the left temporal pole, were significantly lower in the DEP-IBS group than in the HC group. Moreover, compared with the nDEP-IBS group, the DEP-IBS group exhibited decreased GMV in the bilateral medial, dorsolateral prefrontal, and orbitofrontal cortices, bilateral dorsal striatum, and left insular cortices. Correlation analysis revealed that GMV in these atrophic brain areas of the DEP-IBS group was negatively correlated with depression, gastrointestinal symptoms, and disease duration. Our results further revealed that depressive symptoms served as a mediator between gastrointestinal symptoms and GMV in the left insula, right medial prefrontal cortex, and right middle frontal gyrus, while gastrointestinal symptoms served as a mediator between depression and GMV in these regions. Our results suggest convergent syndromic atrophy in the pain and emotional systems of patients with DEP-IBS.
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Affiliation(s)
- Jie Li
- Department of Radiology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China; Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Binke Yuan
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, Guangdong, China
| | - Guoxiong Li
- Department of Gastroenterology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Xingqi Lu
- Department of Radiology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Yun Guo
- Department of Gastroenterology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Ying Yang
- Department of Radiology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Minjie Liang
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jianping Ding
- Department of Radiology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
| | - Quan Zhou
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China; Department of Radiology, Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, Guangdong, China.
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117
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Hong W, Zhao Z, Wang D, Li M, Tang C, Li Z, Xu R, Chan CCH. Altered gray matter volumes in post-stroke depressive patients after subcortical stroke. NEUROIMAGE-CLINICAL 2020; 26:102224. [PMID: 32146322 PMCID: PMC7063237 DOI: 10.1016/j.nicl.2020.102224] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 02/18/2020] [Accepted: 02/19/2020] [Indexed: 12/18/2022]
Abstract
Stroke survivors are known to suffer from post-stroke depression (PSD). However, the likelihood of structural changes in the brains of PSD patients has not been explored. This study aims to extract changes in the gray matter of these patients and test how these changes account for the PSD symptoms. High-resolution T1 weighted images were collected from 23 PSD patients diagnosed with subcortical stroke. Voxel-based morphometry and support vector machine analyses were used to analyze the data. The results were compared with those collected from 33 non-PSD patients. PSD group showed decreased gray matter volume (GMV) in the left middle frontal gyrus (MFG) when compared to the non-PSD patients. Together with the clinical and demographic variables, the MFG's GMV predictive model was able to distinguish PSD from the non-PSD patients (0•70 sensitivity and 0•88 specificity). The changes in the left inferior frontal gyrus (61%) and dorsolateral prefrontal cortex (39%) suggest that the somatic/affective symptoms in PSD is likely to be due to patients' problems with understanding and appraising negative emotional stimuli. The impact brought by the reduced prefrontal to limbic system connectivity needs further exploration. These findings indicate possible systemic involvement of the frontolimbic network resulting in PSD after brain lesions which is likely to be independent from the location of the lesion. The results inform specific clinical interventions to be provided for treating depressive symptoms in post-stroke patients.
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Affiliation(s)
- Wenjun Hong
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Zhiyong Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
| | - Dongmei Wang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
| | - Ming Li
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
| | - Chaozheng Tang
- State Key Laboratory of Cognitive Neuroscience and Leaning, Beijing Normal University, Beijing, China.
| | - Zheng Li
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Rong Xu
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Chetwyn C H Chan
- Applied Cognitive Neuroscience Laboratory, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong; University Research Facility in Behavioral and Systems Neuroscience, The Hong Kong Polytechnic University, Hong Kong, China.
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118
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Cui G, Wang Y, Wang X, Zheng L, Li L, Li P, Zhang L, Guo Y, Chen Y, Sun Z, Meng X. Static and dynamic functional connectivity of the prefrontal cortex during resting-state predicts self-serving bias in depression. Behav Brain Res 2020; 379:112335. [DOI: 10.1016/j.bbr.2019.112335] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 10/07/2019] [Accepted: 10/28/2019] [Indexed: 11/30/2022]
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119
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A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents. J Neurosci 2020; 40:1265-1275. [PMID: 31896669 DOI: 10.1523/jneurosci.2092-19.2019] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/15/2019] [Accepted: 12/15/2019] [Indexed: 11/21/2022] Open
Abstract
Adolescence is a time of extensive neural restructuring, leaving one susceptible to atypical development. Although neural maturation in humans can be measured using functional and structural MRI, the subtle patterns associated with the initial stages of abnormal change may be difficult to identify, particularly at an individual level. Brain age prediction models may have utility in assessing brain development in an individualized manner, as deviations between chronological age and predicted brain age could reflect one's divergence from typical development. Here, we built a support vector regression model to summarize high-dimensional neuroimaging as an index of brain age in both sexes. Using structural and functional MRI data from two large pediatric datasets and a third clinical dataset, we produced and validated a two-dimensional neural maturation index (NMI) that characterizes typical brain maturation patterns and identifies those who deviate from this trajectory. Examination of brain signatures associated with NMI scores revealed that elevated scores were related to significantly lower gray matter volume and significantly higher white matter volume, particularly in high-order regions such as the prefrontal cortex. Additionally, those with higher NMI scores exhibited enhanced connectivity in several functional brain networks, including the default mode network. Analysis of data from a sample of male and female patients with schizophrenia revealed an association between advanced NMI scores and schizophrenia diagnosis in participants aged 16-22, confirming the NMI's utility as a marker of atypicality. Altogether, our findings support the NMI as an individualized, interpretable measure by which neural development in adolescence may be assessed.SIGNIFICANCE STATEMENT The substantial neural restructuring that occurs during adolescence increases one's vulnerability to aberration. A brain index that is capable of capturing one's conformance with typical development will allow for individualized assessment and enhance our understanding of typical and atypical development. In this analysis, we produce a neural maturation index (NMI) using support vector regression and a large pediatric sample. This index generalizes across multiple cohorts and shows potential in the identification of clinical groups. We also implement a novel method for examining the developmental trajectory through data-driven analysis. The signatures identified by the NMI reflect key stages of the extensive neural development that occurs during adolescence and support its utility as a metric of typical brain development.
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120
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Liu J, Xu X, Zhu C, Luo L, Wang Q, Xiao B, Feng B, Hu L, Liu L. Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder. Front Psychiatry 2020; 11:565890. [PMID: 33173514 PMCID: PMC7538511 DOI: 10.3389/fpsyt.2020.565890] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 09/02/2020] [Indexed: 12/26/2022] Open
Abstract
Major depressive disorder (MDD) is a severe and devastating condition. However, the anatomical basis behind the affective symptoms, cognitive symptoms, and somatic-vegetative symptoms of MDD is still unknown. To explore the mechanism behind the depressive symptoms in MDD, we used diffusion tensor imaging (DTI)-based structural brain connectivity analysis to investigate the network difference between MDD patients and healthy controls (CN), and to explore the association between network metrics and patients' clinical symptoms. Twenty-six patients with MDD and 25 CN were included. A baseline 24-item Hamilton rating scale for depression (HAMD-24) score ≥ 21 and seven factors (anxiety/somatization, weight loss, cognitive disturbance, diurnal variation, retardation, sleep disturbance, hopelessness) scores were assessed. When compared with healthy subjects, significantly higher characteristic path length and clustering coefficient as well as significantly lower network efficiencies were observed in patients with MDD. Furthermore, MDD patients demonstrated significantly lower nodal degree and nodal efficiency in multiple brain regions including superior frontal gyrus (SFG), supplementary motor area (SMA), calcarine fissure, middle temporal gyrus (MTG), and inferior temporal gyrus (ITG). We also found that the characteristic path length of MDD patients was associated with weight loss. Moreover, significantly lower global efficiency of MDD patients was correlated with higher total HAMD score, anxiety somatization, and cognitive disturbance. The nodal degree in SFG was also found to be negatively associated with disease duration. In conclusion, our results demonstrated that MDD patients had impaired structural network features compared to CN, and disruption of optimal network architecture might be the mechanism behind the depressive symptoms and emotion disturbance in MDD patients.
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Affiliation(s)
- Jing Liu
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Chunqing Zhu
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Liyuan Luo
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Qi Wang
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Binbin Xiao
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Bin Feng
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Lingtao Hu
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Lanying Liu
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
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Goldstein-Piekarski AN, Holt-Gosselin B, O'Hora K, Williams LM. Integrating sleep, neuroimaging, and computational approaches for precision psychiatry. Neuropsychopharmacology 2020; 45:192-204. [PMID: 31426055 PMCID: PMC6879628 DOI: 10.1038/s41386-019-0483-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/21/2019] [Accepted: 07/22/2019] [Indexed: 12/13/2022]
Abstract
In advancing precision psychiatry, we focus on what imaging technology and computational approaches offer for the future of diagnostic subtyping and personalized tailoring of interventions for sleep impairment in mood and anxiety disorders. Current diagnostic criteria for mood and anxiety tend to lump different forms of sleep disturbance together. Parsing the biological features of sleep impairment and brain circuit dysfunction is one approach to identifying subtypes within these disorders that are mechanistically coherent and offer targets for intervention. We focus on two large-scale neural circuits implicated in sleep impairment and in mood and anxiety disorders: the default mode network and negative affective network. Through a synthesis of existing knowledge about these networks, we pose a testable framework for understanding how hyper- versus hypo-engagement of these networks may underlie distinct features of mood and sleep impairment. Within this framework we consider whether poor sleep quality may have an explanatory role in previously observed associations between network dysfunction and mood symptoms. We expand this framework to future directions including the potential for connecting circuit-defined subtypes to more distal features derived from digital phenotyping and wearable technologies, and how new discovery may be advanced through machine learning approaches.
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Affiliation(s)
- Andrea N Goldstein-Piekarski
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
| | - Bailey Holt-Gosselin
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA
| | - Kathleen O'Hora
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA.
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA.
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Sankar T, Chakravarty MM, Jawa N, Li SX, Giacobbe P, Kennedy SH, Rizvi SJ, Mayberg HS, Hamani C, Lozano AM. Neuroanatomical predictors of response to subcallosal cingulate deep brain stimulation for treatment-resistant depression. J Psychiatry Neurosci 2020; 45:45-54. [PMID: 31525860 PMCID: PMC6919920 DOI: 10.1503/jpn.180207] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Deep brain stimulation targeting the subcallosal cingulate gyrus (SCG DBS) improves the symptoms of treatment-resistant depression in some patients, but not in others. We hypothesized that there are pre-existing structural brain differences between responders and nonresponders to SCG DBS, detectable using structural MRI. METHODS We studied preoperative, T1-weighted MRI scans of 27 patients treated with SCG DBS from 2003 to 2011. Responders (n = 15) were patients with a >50% improvement in Hamilton Rating Scale for Depression score following 12 months of SCG DBS. Preoperative subcallosal cingulate gyrus grey matter volume was obtained using manual segmentation by a trained observer blinded to patient identity. Volumes of hippocampus, thalamus, amygdala, whole-brain cortical grey matter and white matter volume were obtained using automated techniques. RESULTS Preoperative subcallosal cingulate gyrus, thalamic and amygdalar volumes were significantly larger in patients who went on to respond to SCG-DBS. Hippocampal volume did not differ between groups. Cortical grey matter volume was significantly smaller in responders, and cortical grey matter:white matter ratio distinguished between responders and nonresponders with high sensitivity and specificity. LIMITATIONS Normalization by intracranial volume nullified some between-group differences in volumetric measures. CONCLUSION There are structural brain differences between patients with treatment-resistant depression who respond to SCG DBS and those who do not. Specifically, the structural integrity of the subcallosal cingulate gyrus target region and its connected subcortical areas, and variations in cortical volume across the entire brain, appear to be important determinants of response. Structural MRI shows promise as a biomarker in deep brain stimulation for depression, and may play a role in refining patient selection for future trials.
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Affiliation(s)
- Tejas Sankar
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - M. Mallar Chakravarty
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Natasha Jawa
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Stanley X. Li
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Peter Giacobbe
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Sidney H. Kennedy
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Sakina J. Rizvi
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Helen S. Mayberg
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Clement Hamani
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
| | - Andres M. Lozano
- From the Division of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada (Sankar); the Department of Psychiatry, McGill University, Montreal, Quebec, Canada (Chakravarty); the Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada (Chakravarty); the Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada (Jawa, Li, Hamani, Lozano); the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada (Giacobbe, Kennedy, Rizvi); and the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Mayberg)
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Ran S, Zuo Z, Li C, Yin X, Qu W, Tang Q, Wang Y, Shi Y, Li H. Atrophic Corpus Callosum Associated with Altered Functional Asymmetry in Major Depressive Disorder. Neuropsychiatr Dis Treat 2020; 16:1473-1482. [PMID: 32606700 PMCID: PMC7293967 DOI: 10.2147/ndt.s245078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 05/12/2020] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Impairments in intra- and inter-hemispheric information transfer circuits have been reported in patients with major depressive disorder (MDD). However, the specific anomalous connection (intra- and/or inter-hemispheric) and hemisphere (left and/or right) in which this connection plays a more dominant role in the pathogenic mechanism underlying MDD are still poorly understood. PATIENTS AND METHODS Structural magnetic resonance imaging and resting-state functional magnetic resonance imaging were performed in 33 patients with MDD and 33 healthy controls. The intra- and inter-hemispheric functional connectivity (FC) strength in the default mode network areas and volume of the callosal subregions were computed using independent samples t-tests. The partial correlations between the volumes and FCs were also computed. RESULTS The patients with MDD had smaller volumes in the genu of the corpus callosum than the controls. The intrahemispheric FCs of the bilateral posterior cingulate gyrus, left precuneus, left medial superior frontal gyrus, left medial orbitofrontal gyrus, left angular gyrus and left middle temporal gyrus, and interhemispheric FCs of the bilateral posterior cingulate gyrus in the patients with MDD were lower than those in the controls. Moreover, the intrahemispheric FCs of the precuneus and interhemispheric FCs of middle frontal gyrus, orbital middle frontal gyrus, and anterior cingulate gyrus in the patients with MDD showed right-lateralized asymmetry, which were opposite from the asymmetry patterns observed in the controls. The functional asymmetry of the anterior cingulate gyrus was correlated with the volume of the genu of the corpus callosum and disease duration. CONCLUSION These findings provide robust evidence that intra- and inter-hemispheric disconnections are involved in MDD, and that functional disruptions in the left hemisphere may be more relevant to the pathophysiology of MDD. Furthermore, imbalanced interhemispheric exchanges may contribute to the anatomical deficits in the corpus callosum in patients with MDD.
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Affiliation(s)
- Shuhua Ran
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Zhiwei Zuo
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, People's Republic of China
| | - Chang Li
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Xuntao Yin
- Department of Medical Imaging, Guizhou Provincial People's Hospital, Guizhou, People's Republic of China
| | - Wei Qu
- Department of Psychology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Qianying Tang
- Department of Psychology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Yao Wang
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Yanshu Shi
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Haitao Li
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
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The rise and fall of MRI studies in major depressive disorder. Transl Psychiatry 2019; 9:335. [PMID: 31819044 PMCID: PMC6901449 DOI: 10.1038/s41398-019-0680-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/25/2019] [Accepted: 11/27/2019] [Indexed: 12/28/2022] Open
Abstract
Structural and functional brain alterations are common in patients with major depressive disorder (MDD). In this review, we assessed the recent literature (1995-2018) on the structural and functional magnetic resonance imaging (MRI) studies of MDD. Despite the growing number of MRI studies on MDD, reverse inference is not possible as MRI scans cannot be used to aid in the diagnosis or treatment planning of patients with MDD. Hence, researchers must develop "bridges" to overcome the reverse inference fallacy in order to build effective tools for MDD diagnostics. From our findings, we proposed that the "bridges" may be built using multidisciplinary technologies, such as artificial intelligence, multimodality imaging, and nanotheranostics, allowing for the further study of MDD at the biological level. In return, the "bridges" will aid in the development of future diagnostics for MDD and other mental disorders.
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125
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Dai L, Zhou H, Xu X, Zuo Z. Brain structural and functional changes in patients with major depressive disorder: a literature review. PeerJ 2019; 7:e8170. [PMID: 31803543 PMCID: PMC6886485 DOI: 10.7717/peerj.8170] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 11/06/2019] [Indexed: 12/22/2022] Open
Abstract
Depression is a mental disorder characterized by low mood and anhedonia that involves abnormalities in multiple brain regions and networks. Epidemiological studies demonstrated that depression has become one of the most important diseases affecting human health and longevity. The pathogenesis of the disease has not been fully elucidated. The clinical effect of treatment is not satisfactory in many cases. Neuroimaging studies have provided rich and valuable evidence that psychological symptoms and behavioral deficits in patients with depression are closely related to structural and functional abnormalities in specific areas of the brain. There were morphological differences in several brain regions, including the frontal lobe, temporal lobe, and limbic system, in people with depression compared to healthy people. In addition, people with depression also had abnormal functional connectivity to the default mode network, the central executive network, and the salience network. These findings provide an opportunity to re-understand the biological mechanisms of depression. In the future, magnetic resonance imaging (MRI) may serve as an important auxiliary tool for psychiatrists in the process of early and accurate diagnosis of depression and finding the appropriate treatment target for each patient to optimize clinical response.
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Affiliation(s)
- Lisong Dai
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongmei Zhou
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangyang Xu
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Brain and Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
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126
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Kokubun K, Yamakawa Y. Association Between Food Patterns and Gray Matter Volume. Front Hum Neurosci 2019; 13:384. [PMID: 31736731 PMCID: PMC6828934 DOI: 10.3389/fnhum.2019.00384] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 10/14/2019] [Indexed: 01/12/2023] Open
Abstract
Diet and nutrition play a key role in the promotion and maintenance of good health, as they are important modifiable risk factors for chronic diseases. A growing number of studies indicate that optimal food intake and optimal physical activity are essential for the gray matter volume (GMV). However, the precise definition of “optimal” is extremely difficult and a topic of several studies. In the current research, we used the magnetic resonance imaging (MRI)-based normalized GMV (nGMV), for monitoring brain conditions based on GMV. By analyzing the relationship between the nGMV of 171 healthy Japanese participants and the results of a brief self-administered diet history questionnaire (BDHQ), we found that while nGMV was high in the participants with high intake of milk and yogurt, it was low in the participants of “alcohol and animal foods dietary pattern” (high intake of alcohol and animal foods). On the other hand, another food pattern “vegetable-animal balanced dietary pattern” (balanced intake of vegetables and animal foods) has no significant association with nGMV, indicating that although a diet consisting of a good balance of vegetables and animal foods may not lead to brain atrophy, it might not positively contribute to a higher nGMV. nGMV, as an objective measure of the association between food intake and the brain, might provide useful information for “optimal” food intake for GMV.
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Affiliation(s)
- Keisuke Kokubun
- Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan
| | - Yoshinori Yamakawa
- Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan.,ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), Chiyoda, Japan.,Institute of Innovative Research, Tokyo Institute of Technology, Meguro, Japan.,NTT Data Institute of Management Consulting, Inc., Minato, Japan
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127
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Hu L, Xiao M, Ai M, Wang W, Chen J, Tan Z, Cao J, Kuang L. Disruption of resting-state functional connectivity of right posterior insula in adolescents and young adults with major depressive disorder. J Affect Disord 2019; 257:23-30. [PMID: 31299401 DOI: 10.1016/j.jad.2019.06.057] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/24/2019] [Accepted: 06/30/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND The neural basis of Major Depressive Disorder (MDD) which is a clinical syndrome characterized by emotional and cognitive impairments is poorly understood. Accumulating evidence has suggested that the insula is an important substrate underlying the mechanism of MDD. This study aimed to examine the disrupted resting-state brain regional function in insula and to further investigate the associated resting-state functional connectivity (rs-FC) of insula underlie the MDD in adolescents and young adults. METHODS We employed 3.0T resting-state functional magnetic resonance imaging (rs-fMRI) to acquire data from 76 adolescents and young adults with MDD and 44 age and sex matched healthy control subjects. We employed a regional Amplitude of Low-Frequency Fluctuation (ALFF) analysis to explore local intrinsic neural oscillation alterations in insula and an ALFF-based functional connectivity (FC) approach to detect the potential changes in remote connectivity with insula in adolescents and young adults with MDD. RESULTS By applying ALFF analysis, significantly decreased activities were detected in bilateral insula, and in particular in right anterior insular gyrus (MNI; ROI1: 42, 24, -3), right posterior insular gyrus (Montreal Neurological Institute, MNI; ROI2: 36, -9, 15) and left anterior insular gyrus (MNI; ROI3: -36, 12, 9) in patients with MDD compared to the healthy controls (p < 0.05, 1000 permutations, TFCE corrected). With ROI2 as the seed in the subsequent ALFF-based rs-FC analysis, patients with MDD were observed to have significantly reduced FC with bilateral middle occipital gyrus, lingual gyrus, calcarine, postcentral gyrus, precentral gyrus, supramarginal area, superior temporal gyrus and middle cingulate gyrus as compared to the healthy controls (p < 0.05, 1000 permutations, TFCE corrected). No significant differences of FC were detected between the patients and healthy controls when using ROI1 and ROI3 as the seeds. We found no correlations between ALFF or rs-FC values and the severity of depression as estimated by Hamilton Depression Rating Scale (HAM-D). LIMITATIONS Clinical information were limited and no significant correlations were found between imaging variables and HAM-D scores, which reduces the power to interpret the present findings. A cross-sectional design was employed in this study so that it is not possible to know whether the abnormal ALFF or altered brain FC of insula reflects a state or trait effect in young people with MDD. CONCLUSIONS This study highlights the regional/network interaction abnormalities of insula in adolescents and young adults with MDD, and could provide further insight into understanding the neural pathomechanism of MDD in young patients.
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Affiliation(s)
- Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Muni Xiao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Ming Ai
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, No.55 Middle Road, University Town, Shapingba District, Chongqing 401331, PR China
| | - Jianmei Chen
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Zhaojun Tan
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Jun Cao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China.
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Ma R, Henry TR, Van de Moortele PF. Eliminating susceptibility induced hyperintensities in T1w MPRAGE brain images at 7 T. Magn Reson Imaging 2019; 63:274-279. [PMID: 31446038 DOI: 10.1016/j.mri.2019.08.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 08/02/2019] [Accepted: 08/15/2019] [Indexed: 01/01/2023]
Abstract
INTRODUCTION At ultrahigh field, local susceptibility induced hyperintensities are pronounced in brain areas close to air-tissue boundaries in the inferior frontal lobe and temporal lobes on T1w MPRAGE images. Resulting from incomplete inversion, these artefacts can introduce biases in brain volumetry and erroneously suggest the existence of local tissular anomaly. We propose a straightforward approach to eliminate these artefacts by applying a shift (ΔfIR) to the center frequency of the adiabatic inversion pulse while widening the bandwidth of the latter by shortening the pulse duration (ΔtIR). METHODS An MPRAGE sequence was customized allowing to change the duration (standard: 10,240 μs) and center frequency of the hyperbolic secant inversion RF pulse (IR). All measurements were performed on a 7 T whole body scanner (Siemens, Erlangen, Germany). 13 healthy volunteers (7 female and 6 male, average age (SD) = 38 ± 15 yrs) were recruited for the study, 3 of which were scanned for protocol optimization and the rest for performance evaluation. ΔB0 was mapped through the brain with a gradient echo sequence. The effects of ΔfIR and ΔtIR were studied separately and jointly to determine optimal parameter combinations to achieve the largest spatial extent of complete inversion throughout the brain. RESULTS Applying a positive ΔfIR restored inversion efficiency in the inferior frontal and temporal lobes, but also introduced undesired hyperintensities in the anterior temporal lobes. Widening the bandwidth alone could also partially reduce hyperintensities in the frontal area but with a limited efficiency. By simultaneously applying a positive ΔfIR of 300 Hz and shortening ΔtIR by 40%, these artefacts were eliminated across the whole cerebrum. CONCLUSION A robust elimination of susceptibility induced hyperintensities near air-tissue boundaries in T1w MPRAGE 7 T brain images is demonstrated. This technique only requires limited MR sequence modifications.
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Affiliation(s)
- Ruoyun Ma
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Thomas R Henry
- Department of Neurology, University of Minnesota, Minneapolis, MN, USA
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Sato W, Kochiyama T, Uono S, Sawada R, Kubota Y, Yoshimura S, Toichi M. Resting-state neural activity and connectivity associated with subjective happiness. Sci Rep 2019; 9:12098. [PMID: 31431639 PMCID: PMC6702218 DOI: 10.1038/s41598-019-48510-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 08/07/2019] [Indexed: 11/23/2022] Open
Abstract
The majority of people throughout the world rate subjective happiness as the top of the important thing in life. A recent structural neuroimaging study exploring neurocognitive mechanisms underlying subjective happiness has suggested that the gray matter volume of the right precuneus is associated with Subjective Happiness Scale (SHS) scores. However, how the neural activity in this region, as well as the neural functional coupling between this and other regions, could be related to SHS scores remains unclear. To investigate these issues, we performed resting-state functional magnetic resonance imaging and analyzed the fractional amplitude of low-frequency fluctuation (fALFF) in participants, whose subjective happiness was evaluated using the SHS. Lower fALFF values in the right precuneus were associated with higher SHS scores. Furthermore, functional connectivity and spectral dynamic causal modeling analyses showed that both functional and effective connectivity of the right precuneus with the right amygdala were positively associated with SHS scores. These findings, together with other evidence on the information-processing functions of these brain regions, suggest the possibility that subjective happiness is associated with a reduction in self-referential mental processes, which are well integrated with emotional processing.
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Affiliation(s)
- Wataru Sato
- Kokoro Research Center, Kyoto University, Kyoto University, 46 Shimoadachi, Sakyo, Kyoto, 606-8501, Japan.
| | - Takanori Kochiyama
- Brain Activity Imaging Center, ATR-Promotions, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0288, Japan
| | - Shota Uono
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo, Kyoto, 606-8507, Japan
| | - Reiko Sawada
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo, Kyoto, 606-8507, Japan
| | - Yasutaka Kubota
- Health and Medical Services Center, Shiga University, 1-1-1, Baba, Hikone, Shiga, 522-8522, Japan
| | - Sayaka Yoshimura
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo, Kyoto, 606-8507, Japan
| | - Motomi Toichi
- Faculty of Human Health Science, Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo-ku, Kyoto, 606-8507, Japan.,The Organization for Promoting Neurodevelopmental Disorder Research, 40 Shogoin-Sannocho, Sakyo, Kyoto, 606-8392, Japan
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Profound and reproducible patterns of reduced regional gray matter characterize major depressive disorder. Transl Psychiatry 2019; 9:176. [PMID: 31341158 PMCID: PMC6656728 DOI: 10.1038/s41398-019-0512-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 06/01/2019] [Indexed: 12/22/2022] Open
Abstract
Reduced gray matter (GM) volume may represent a hallmark of major depressive disorder (MDD) neuropathology, typified by wide-ranging distribution of structural alteration. In the study, we aimed to replicate and extend our previous finding of profound and widespread GM loss in MDD, and evaluate the diagnostic accuracy of a structural biomarker derived from GM volume in an interconnected pattern across the brain. In a sub-study of the International Study to Predict Optimized Treatment in Depression (iSPOT-D), two cohorts of clinically defined MDD participants "Test" (n = 98) and "Replication" (n = 131) were assessed alongside healthy controls (n = 66). Using 3T MRI T1-weighted volumes, GM volume differences were evaluated using voxel-based morphometry. Sensitivity, specificity, and area under the receiver operating characteristic curve were used to evaluate an MDD diagnostic biomarker based on a precise spatial pattern of GM loss constructed using principal component analysis. We demonstrated a highly conserved symmetric widespread pattern of reduced GM volume in MDD, replicating our previous findings. Three bilateral dominant clusters were observed: Cluster 1: midline/cingulate (GM reduction: Test: 6.4%, Replication: 5.3%), Cluster 2: medial temporal lobe (GM reduction: Test: 8.2%, Replication: 11.9%), Cluster 3: prefrontal cortex (GM reduction: Test: 12.1%, Replication: 23.2%). We developed a biomarker reflecting the global pattern of GM reduction, achieving good diagnostic classification performance (AUC: Test = 0.75, Replication = 0.84). This study establishes that a highly specific pattern of reduced GM volume is a feature of MDD, suggestive of a structural basis for this disease. We introduce and validate a novel diagnostic biomarker based on this pattern.
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131
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Szymkowicz SM, Woods AJ, Dotson VM, Porges EC, Nissim NR, O’Shea A, Cohen RA, Ebner NC. Associations between subclinical depressive symptoms and reduced brain volume in middle-aged to older adults. Aging Ment Health 2019; 23:819-830. [PMID: 29381390 PMCID: PMC6066456 DOI: 10.1080/13607863.2018.1432030] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES The associations between subclinical depressive symptoms, as well specific symptom subscales, on brain structure in aging are not completely elucidated. This study investigated the extent to which depressive symptoms were related to brain volumes in fronto-limbic structures in a sample of middle-aged to older adults. METHOD Eighty participants underwent structural neuroimaging and completed the Beck Depression Inventory, 2nd Edition (BDI-II), which comprises separate affective, cognitive, and somatic subscales. Gray matter volumes were extracted from the caudal and rostral anterior cingulate, posterior cingulate, hippocampus, and amygdala. Hierarchical regression models examined the relationship between brain volumes and (i) total depressive symptoms and (ii) BDI-II subscales were conducted. RESULTS After adjusting for total intracranial volume, race, and age, higher total depressive symptoms were associated with smaller hippocampal volume (p = 0.005). For the symptom subscales, after controlling for the abovementioned covariates and the influence of the other symptom subscales, more somatic symptoms were related to smaller posterior cingulate (p = 0.025) and hippocampal (p < 0.001) volumes. In contrast, the affective and cognitive subscales were not associated with brain volumes in any regions of interest. CONCLUSION Our data showed that greater symptomatology was associated with smaller volume in limbic brain regions. These findings provide evidence for preclinical biological markers of major depression and specifically advance knowledge of the relationship between subclinical depressive symptoms and brain volume. Importantly, we observed variations by specific depressive symptom subscales, suggesting a symptom-differential relationship between subclinical depression and brain volume alterations in middle-aged and older individuals.
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Affiliation(s)
- Sarah M. Szymkowicz
- Sarah M. Szymkowicz, M.S., 1Department of Clinical & Health Psychology, University of Florida, P.O. Box 100165, Gainesville, FL, 32610-0165. Phone: +1 (352) 273-6058.
| | - Adam J. Woods
- Adam J. Woods, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, P.O. Box 100015, Gainesville, FL, 32610-0015, 3Department of Neuroscience, University of Florida, P.O. Box 100244, Gainesville, FL, 32610-0244. Phone: +1 (352) 294-5842.
| | - Vonetta M. Dotson
- Vonetta M. Dotson, Ph.D., 4Department of Psychology, Georgia State University, P.O. Box 5010, Atlanta, GA, 30302-5010. Phone: +1 (404) 413-6207.
| | - Eric C. Porges
- Eric C. Porges, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5838.
| | - Nicole R. Nissim
- Nicole R. Nissim, M.S., 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, 3Department of Neuroscience, University of Florida. Phone: +1 (352) 294-5742.
| | - Andrew O’Shea
- Andrew O’Shea, M.S., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5827.
| | - Ronald A. Cohen
- Ronald A. Cohen, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5840.
| | - Natalie C. Ebner
- Natalie C. Ebner, Ph.D., 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, 5Department of Psychology, University of Florida, P.O. Box 112250, Gainesville, FL, 32611, 6Department of Aging & Geriatric Research, University of Florida, 2004 Mowry Road, Gainesville, FL, 32611. Phone: +1 (203) 691-0371.
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Garcia-Gorro C, Llera A, Martinez-Horta S, Perez-Perez J, Kulisevsky J, Rodriguez-Dechicha N, Vaquer I, Subira S, Calopa M, Muñoz E, Santacruz P, Ruiz-Idiago J, Mareca C, Beckmann CF, de Diego-Balaguer R, Camara E. Specific patterns of brain alterations underlie distinct clinical profiles in Huntington's disease. Neuroimage Clin 2019; 23:101900. [PMID: 31255947 PMCID: PMC6606833 DOI: 10.1016/j.nicl.2019.101900] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 06/11/2019] [Accepted: 06/13/2019] [Indexed: 12/16/2022]
Abstract
Huntington's disease (HD) is a genetic neurodegenerative disease which involves a triad of motor, cognitive and psychiatric disturbances. However, there is great variability in the prominence of each type of symptom across individuals. The neurobiological basis of such variability remains poorly understood but would be crucial for better tailored treatments. Multivariate multimodal neuroimaging approaches have been successful in disentangling these profiles in other disorders. Thus we applied for the first time such approach to HD. We studied the relationship between HD symptom domains and multimodal measures sensitive to grey and white matter structural alterations. Forty-three HD gene carriers (23 manifest and 20 premanifest individuals) were scanned and underwent behavioural assessments evaluating motor, cognitive and psychiatric domains. We conducted a multimodal analysis integrating different structural neuroimaging modalities measuring grey matter volume, cortical thickness and white matter diffusion indices - fractional anisotropy and radial diffusivity. All neuroimaging measures were entered into a linked independent component analysis in order to obtain multimodal components reflecting common inter-subject variation across imaging modalities. The relationship between multimodal neuroimaging independent components and behavioural measures was analysed using multiple linear regression. We found that cognitive and motor symptoms shared a common neurobiological basis, whereas the psychiatric domain presented a differentiated neural signature. Behavioural measures of different symptom domains correlated with different neuroimaging components, both the brain regions involved and the neuroimaging modalities most prominently associated with each type of symptom showing differences. More severe cognitive and motor signs together were associated with a multimodal component consisting in a pattern of reduced grey matter, cortical thickness and white matter integrity in cognitive and motor related networks. In contrast, depressive symptoms were associated with a component mainly characterised by reduced cortical thickness pattern in limbic and paralimbic regions. In conclusion, using a multivariate multimodal approach we were able to disentangle the neurobiological substrates of two distinct symptom profiles in HD: one characterised by cognitive and motor features dissociated from a psychiatric profile. These results open a new view on a disease classically considered as a uniform entity and initiates a new avenue for further research considering these qualitative individual differences.
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Affiliation(s)
- Clara Garcia-Gorro
- Cognition and Brain Plasticity Unit, L'Hospitalet de Llobregat (Barcelona), IDIBELL (Institut d'Investigació Biomèdica de Bellvitge), Spain
- Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain
| | - Alberto Llera
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Saul Martinez-Horta
- Movement Disorders Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB-Sant Pau), Barcelona, Spain
- CIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Carlos III Institute, Madrid, Spain
| | - Jesus Perez-Perez
- Movement Disorders Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB-Sant Pau), Barcelona, Spain
- CIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Carlos III Institute, Madrid, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB-Sant Pau), Barcelona, Spain
- CIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Carlos III Institute, Madrid, Spain
- Universidad Autónoma de Barcelona, Barcelona, Spain
| | | | - Irene Vaquer
- Hestia Duran i Reynals, Hospital Duran i Reynals, Hospitalet de Llobregat (Barcelona), Spain
| | - Susana Subira
- Hestia Duran i Reynals, Hospital Duran i Reynals, Hospitalet de Llobregat (Barcelona), Spain
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Matilde Calopa
- Movement Disorders Unit, Neurology Service, Hospital Universitari de Bellvitge, Barcelona, Spain
| | - Esteban Muñoz
- Movement Disorders Unit, Neurology Service, Hospital Clínic, Barcelona, Spain
- IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain
- Facultat de Medicina, University of Barcelona, Barcelona, Spain
| | - Pilar Santacruz
- Movement Disorders Unit, Neurology Service, Hospital Clínic, Barcelona, Spain
| | - Jesus Ruiz-Idiago
- Hospital Mare de Deu de la Mercè, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Celia Mareca
- Hospital Mare de Deu de la Mercè, Barcelona, Spain
| | - Christian F. Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ruth de Diego-Balaguer
- Cognition and Brain Plasticity Unit, L'Hospitalet de Llobregat (Barcelona), IDIBELL (Institut d'Investigació Biomèdica de Bellvitge), Spain
- Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain
- The Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- ICREA (Catalan Institute for Research and Advanced Studies), Barcelona, Spain
| | - Estela Camara
- Cognition and Brain Plasticity Unit, L'Hospitalet de Llobregat (Barcelona), IDIBELL (Institut d'Investigació Biomèdica de Bellvitge), Spain
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133
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Bykowsky O, Harrisberger F, Schmidt A, Smieskova R, Hauke DJ, Egloff L, Riecher-Rössler A, Fusar-Poli P, Huber CG, Lang UE, Andreou C, Borgwardt S. Association of antidepressants with brain morphology in early stages of psychosis: an imaging genomics approach. Sci Rep 2019; 9:8516. [PMID: 31186482 PMCID: PMC6560086 DOI: 10.1038/s41598-019-44903-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/28/2019] [Indexed: 11/09/2022] Open
Abstract
Depressive symptoms in subjects at Clinical High Risk for Psychosis (CHR-P) or at first-episode psychosis (FEP) are often treated with antidepressants. Our cross-sectional study investigated whether brain morphology is altered by antidepressant medication. High-resolution T1-weighted structural MRI scans of 33 CHR-P and FEP subjects treated with antidepressants, 102 CHR-P and FEP individuals without antidepressant treatment and 55 controls, were automatically segmented using Freesurfer 6.0. Linear mixed-effects modelling was applied to assess the differences in subcortical volume, surface area and cortical thickness in treated, non-treated and healthy subjects, taking into account converted dosages of antidepressants. Increasing antidepressant dose was associated with larger volume of the pallidum and the putamen, and larger surface of the left inferior temporal gyrus. In a pilot subsample of separately studied subjects of known genomic risk loci, we found that in the right postcentral gyrus, the left paracentral lobule and the precentral gyrus antidepressant dose-associated surface increase depended on polygenic schizophrenia-related-risk score. As the reported regions are linked to the symptoms of psychosis, our findings reflect the possible beneficial effects of antidepressant treatment on an emerging psychosis.
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Affiliation(s)
- Oleg Bykowsky
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland.,Center for Addiction Medicine, Châlons-en-Champagne General Hospital, Châlons-en-Champagne, France
| | - Fabienne Harrisberger
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - André Schmidt
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Renata Smieskova
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Daniel J Hauke
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland.,Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
| | - Laura Egloff
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | | | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical Detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Christian G Huber
- Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Undine E Lang
- Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Christina Andreou
- Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Stefan Borgwardt
- Neuropsychiatry and Brain Imaging, Department of Psychiatry (UPK), University of Basel, Basel, Switzerland. .,Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland. .,Early Psychosis: Interventions and Clinical Detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
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134
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Alemany S, Jansen PR, Muetzel RL, Marques N, El Marroun H, Jaddoe VWV, Polderman TJC, Tiemeier H, Posthuma D, White T. Common Polygenic Variations for Psychiatric Disorders and Cognition in Relation to Brain Morphology in the General Pediatric Population. J Am Acad Child Adolesc Psychiatry 2019; 58:600-607. [PMID: 30768412 DOI: 10.1016/j.jaac.2018.09.443] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 08/30/2018] [Accepted: 01/02/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE This study examined the relation between polygenic scores (PGSs) for 5 major psychiatric disorders and 2 cognitive traits with brain magnetic resonance imaging morphologic measurements in a large population-based sample of children. In addition, this study tested for differences in brain morphology-mediated associations between PGSs for psychiatric disorders and PGSs for related behavioral phenotypes. METHOD Participants included 1,139 children from the Generation R Study assessed at 10 years of age with genotype and neuroimaging data available. PGSs were calculated for schizophrenia, bipolar disorder, major depression disorder, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, intelligence, and educational attainment using results from the most recent genome-wide association studies. Image processing was performed using FreeSurfer to extract cortical and subcortical brain volumes. RESULTS Greater genetic susceptibility for ADHD was associated with smaller caudate volume (strongest prior = 0.01: β = -0.07, p = .006). In boys, mediation analysis estimates showed that 11% of the association between the PGS for ADHD and the PGS attention problems was mediated by differences in caudate volume (n = 535), whereas mediation was not significant in girls or the entire sample. PGSs for educational attainment and intelligence showed positive associations with total brain volume (strongest prior = 0.5: β = 0.14, p = 7.12 × 10-8; and β = 0.12, p = 6.87 × 10-7, respectively). CONCLUSION The present findings indicate that the neurobiological manifestation of polygenic susceptibility for ADHD, educational attainment, and intelligence involve early morphologic differences in caudate and total brain volumes in childhood. Furthermore, the genetic risk for ADHD might influence attention problems through the caudate nucleus in boys.
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Affiliation(s)
- Silvia Alemany
- Barcelona Institute for Global Health and the Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | - Philip R Jansen
- Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center; Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands; Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, the Netherlands
| | - Ryan L Muetzel
- Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Natália Marques
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Hanan El Marroun
- Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center
| | - Vincent W V Jaddoe
- Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center
| | - Tinca J C Polderman
- Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands; Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, the Netherlands
| | - Henning Tiemeier
- Erasmus University Medical Center, Rotterdam, the Netherlands; Harvard TH Chan School of Public Health, Boston, MA
| | - Danielle Posthuma
- Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands; Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, the Netherlands; VU University Medical Center (VUMC), Amsterdam
| | - Tonya White
- Erasmus University Medical Center, Rotterdam, the Netherlands
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135
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Madonna D, Delvecchio G, Soares JC, Brambilla P. Structural and functional neuroimaging studies in generalized anxiety disorder: a systematic review. ACTA ACUST UNITED AC 2019; 41:336-362. [PMID: 31116259 PMCID: PMC6804309 DOI: 10.1590/1516-4446-2018-0108] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 08/16/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Brain imaging studies carried out in patients suffering from generalized anxiety disorder (GAD) have contributed to better characterize the pathophysiological mechanisms underlying this disorder. The present study reviews the available functional and structural brain imaging evidence on GAD, and suggests further strategies for investigations in this field. METHODS A systematic literature review was performed in PubMed, PsycINFO, and Google Scholar, aiming to identify original research evaluating GAD patients with the use of structural and functional magnetic resonance imaging as well as diffusion tensor imaging. RESULTS The available studies have shown impairments in ventrolateral and dorsolateral prefrontal cortex, anterior cingulate, posterior parietal regions, and amygdala in both pediatric and adult GAD patients, mostly in the right hemisphere. However, the literature is often tentative, given that most studies have employed small samples and included patients with comorbidities or in current use of various medications. Finally, different methodological aspects, such as the type of imaging equipment used, also complicate the generalizability of the findings. CONCLUSIONS Longitudinal neuroimaging studies with larger samples of both juvenile and adult GAD patients, as well as at risk individuals and unaffected relatives, should be carried out in order to shed light on the specific biological signature of GAD.
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Affiliation(s)
- Domenico Madonna
- Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Universitá di Milano, Milano, Italy.,Dipartimento di Neuroscienze e Salute Mentale, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Giuseppe Delvecchio
- Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Universitá di Milano, Milano, Italy
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Paolo Brambilla
- Dipartimento di Neuroscienze e Salute Mentale, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.,Department of Psychiatry and Behavioral Sciences, University of Texas Health Sciences Center at Houston, Houston, TX, USA
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136
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Ries A, Hollander M, Glim S, Meng C, Sorg C, Wohlschläger A. Frequency-Dependent Spatial Distribution of Functional Hubs in the Human Brain and Alterations in Major Depressive Disorder. Front Hum Neurosci 2019; 13:146. [PMID: 31156409 PMCID: PMC6527901 DOI: 10.3389/fnhum.2019.00146] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/16/2019] [Indexed: 12/28/2022] Open
Abstract
Alterations in large-scale brain intrinsic functional connectivity (FC), i.e., coherence between fluctuations of ongoing activity, have been implicated in major depressive disorder (MDD). Yet, little is known about the frequency-dependent alterations of FC in MDD. We calculated frequency specific degree centrality (DC) – a measure of overall FC of a brain region – within 10 distinct frequency sub-bands accessible from the full range of resting-state fMRI BOLD fluctuations (i.e., 0.01–0.25 Hz) in 24 healthy controls and 24 MDD patients. In healthy controls, results reveal a frequency-specific spatial distribution of highly connected brain regions – i.e., hubs – which play a fundamental role in information integration in the brain. MDD patients exhibited significant deviations from the healthy DC patterns, with decreased overall connectedness of widespread regions, in a frequency-specific manner. Decreased DC in MDD patients was observed predominantly in the occipital cortex at low frequencies (0.01–0.1 Hz), in the middle cingulate cortex, sensorimotor cortex, lateral parietal cortex, and the precuneus at middle frequencies (0.1–0.175 Hz), and in the anterior cingulate cortex at high frequencies (0.175–0.25 Hz). Additionally, decreased DC of distinct parts of the insula was observed across low, middle, and high frequency bands. Frequency-specific alterations in the DC of the temporal, insular, and lateral parietal cortices correlated with symptom severity. Importantly, our results indicate that frequency-resolved analysis within the full range of frequencies accessible from the BOLD signal – also including higher frequencies (>0.1 Hz) – reveals unique information about brain organization and its changes, which can otherwise be overlooked.
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Affiliation(s)
- Anja Ries
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
| | - Matthew Hollander
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
| | - Sarah Glim
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Graduate School of Systemic Neurosciences, LMU Munich, Munich, Germany
| | - Chun Meng
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Christian Sorg
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Department of Psychiatry, Technical University of Munich (TUM), Munich, Germany
| | - Afra Wohlschläger
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
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137
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Uhlmann A, Bandelow B, Stein DJ, Bloch S, Engel KR, Havemann-Reinecke U, Wedekind D. Grey matter structural differences in alcohol-dependent individuals with and without comorbid depression/anxiety-an MRI study. Eur Arch Psychiatry Clin Neurosci 2019; 269:285-294. [PMID: 29372325 DOI: 10.1007/s00406-018-0870-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 01/15/2018] [Indexed: 10/18/2022]
Abstract
Although depression and anxiety disorders are common comorbid conditions in alcohol dependence, few structural brain imaging studies have compared alcohol-dependent subjects with and without such comorbidity. In the current study, brain scans of 35 alcohol-dependent with and 40 individuals without diagnosis of a comorbid ICD-10 depressive or anxiety disorder receiving detoxification inpatient treatment were evaluated. Thickness and volumes of automatically segmented neuroanatomical structures were measured in FreeSurfer. Furthermore, associations of brain structure with biological markers and clinical severity markers of alcohol dependence were assessed. Despite comparable addiction severity, the non-comorbid group had evidence of higher cytotoxic effects of alcohol use on hepatic and haematological markers, and showed significantly smaller volumes of total cerebral, and cerebellar grey matter. Similarly, they showed unexpected smaller hippocampal and nucleus accumbens volumes, and thinner frontal, temporal and occipital cortices. Smaller brain volumes correlated with increased markers of hepatic and haematological dysfunction, and with longer duration of alcohol dependence in the non-comorbid group. Evidence of higher biomarkers of alcohol use may be indicative of more severe alcohol dependence or higher vulnerability to ethanol toxicity in this group. Furthermore, psychopathology-related drug treatment, which occurred in 53% of the comorbid group over the recent years, or tissue inflammation may have a moderate effect on the grade of cerebral atrophy in alcohol-dependent patients. Longitudinal studies are needed to investigate this issue more fully.
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Affiliation(s)
- A Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - B Bandelow
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - S Bloch
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - K R Engel
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - U Havemann-Reinecke
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany.,Centre of Nanomicroscopy and Molecular Biology of the Brain, CNMPB, Goettingen University Medical Centre, Goettingen, Germany
| | - Dirk Wedekind
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany.
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138
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Murphy‐Royal C, Gordon GR, Bains JS. Stress‐induced structural and functional modifications of astrocytes—Further implicating glia in the central response to stress. Glia 2019; 67:1806-1820. [DOI: 10.1002/glia.23610] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/14/2019] [Accepted: 02/20/2019] [Indexed: 12/21/2022]
Affiliation(s)
- Ciaran Murphy‐Royal
- Department of Physiology and Pharmacology, Hotchkiss Brain InstituteUniversity of Calgary Calgary Alberta Canada
| | - Grant R. Gordon
- Department of Physiology and Pharmacology, Hotchkiss Brain InstituteUniversity of Calgary Calgary Alberta Canada
| | - Jaideep S. Bains
- Department of Physiology and Pharmacology, Hotchkiss Brain InstituteUniversity of Calgary Calgary Alberta Canada
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139
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Chronic brain stimulation rewarding experience ameliorates depression-induced cognitive deficits and restores aberrant plasticity in the prefrontal cortex. Brain Stimul 2019; 12:752-766. [PMID: 30765272 DOI: 10.1016/j.brs.2019.01.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 12/12/2018] [Accepted: 01/27/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a multifactorial disease which often coexists with cognitive deficits. Depression-induced cognitive deficits are known to be associated with aberrant reward processing, neurochemical and structural alterations. Recent studies have shown that chronic electrical stimulation of brain reward areas induces a robust antidepressant effect. However, the effects of repeated electrical self-stimulation of lateral hypothalamus - medial forebrain bundle (LH-MFB) on depression-induced cognitive deficits and associated neurochemical and structural alterations in the prefrontal cortex (PFC) are unknown. OBJECTIVES We investigated the effect of chronic rewarding self-stimulation of LH-MFB in neonatal clomipramine (CLI) model of depression. During adulthood, neonatal CLI and saline administered rats were implanted with bilateral electrodes stereotaxically in the LH-MFB and trained to receive intracranial self-stimulation (ICSS) for 14 days. The rats were tested for depressive-like behaviors, learning and memory followed by estimation of PFC volumes, levels of monoamines and its metabolites in the PFC. RESULTS We found that chronic ICSS of LH-MFB reverses CLI-induced behavioral despair and anhedonia. Interestingly, self-stimulation normalizes the impaired novel object and location recognition memory in CLI rats. The amelioration of learning impairments in CLI rats was associated with the reversal of volume loss and restoration of monoamine metabolism in the PFC. CONCLUSION We demonstrated that repeated intracranial self-stimulation of LH-MFB ameliorates CLI-induced learning deficits, reverses altered monoamine metabolism and the atrophy of PFC. Our results support the hypothesis that chronic brain stimulation rewarding experience might be evolved as a potential treatment strategy for reversal of learning deficits in depression and associated disorders.
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140
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Suh JS, Schneider MA, Minuzzi L, MacQueen GM, Strother SC, Kennedy SH, Frey BN. Cortical thickness in major depressive disorder: A systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2019; 88:287-302. [PMID: 30118825 DOI: 10.1016/j.pnpbp.2018.08.008] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/30/2018] [Accepted: 08/13/2018] [Indexed: 01/10/2023]
Abstract
Neuroimaging studies assessing neurobiological differences between patients with major depressive disorder (MDD) and healthy controls (HC) are often hindered by small sample sizes and heterogeneity of the patient sample. We performed a comprehensive literature search for studies assessing cortical thickness between patient and control groups, including studies investigating treatment effects on cortical thickness. We identified 34 studies meeting criteria for the systematic review and used Seed-based d Mapping to meta-analyze 24 of those that met additional criteria. Analysis of the full sample of subjects (MDD = 1073; HC = 936) revealed significant thinning in the MDD group in the bilateral orbitofrontal gyrus (BA 11), left pars opercularis (BA 45) and left calcarine fissure/lingual gyrus (BA 17), as well as an area of significant thickening in the left supramarginal gyrus (BA 40). These results support other imaging modalities that report disruptions in various frontal and temporal areas in MDD and identify additional areas in all major cerebral lobes likely to be significant when parsing for biomarkers of treatment or relapse.
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Affiliation(s)
- Jee Su Suh
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Maiko Abel Schneider
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luciano Minuzzi
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest and Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sidney H Kennedy
- Canadian Biomarker Integration Network for Depression, St. Michael's Hospital, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Chair in Suicide & Depression Studies, St. Michael's Hospital, Toronto, ON, Canada
| | - Benicio N Frey
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
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Lyon M, Welton T, Varda A, Maller JJ, Broadhouse K, Korgaonkar MS, Koslow SH, Williams LM, Gordon E, Rush AJ, Grieve SM. Gender-specific structural abnormalities in major depressive disorder revealed by fixel-based analysis. NEUROIMAGE-CLINICAL 2019; 21:101668. [PMID: 30690418 PMCID: PMC6356005 DOI: 10.1016/j.nicl.2019.101668] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 11/23/2018] [Accepted: 01/04/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a chronic disease with a large global impact. There are currently no clinically useful predictors of treatment outcome, and the development of biomarkers to inform clinical treatment decisions is highly desirable. METHODS In this exploratory study we performed fixel-based analysis of diffusion MRI data from the International Study to Predict Optimized Treatment in Depression with the aim of identifying novel biomarkers at baseline that may relate to diagnosis and outcome to treatment with antidepressant medications. Analyses used MR data from individuals with MDD (n = 221) and healthy controls (n = 67). RESULTS We show focal, gender-specific differences in the anterior limb of the internal capsule (males) and bilaterally in the genu of the corpus callosum (females) associated with diagnosis. Lower fibre cross-section in the tapetum, the conduit between the right and left hippocampi, were also associated with a decreased probability of remission. Analysis of conventional fractional anisotropy showed scattered abnormalities in the corona radiata, cerebral peduncles and mid-brain which were much lower in total volume compared to fixel-based analysis. CONCLUSIONS Fixel-based analysis appeared to identify different underlying abnormalities than conventional tensor-based metrics, with almost no overlap between significant regions. We show that MDD is associated with gender specific abnormalities in the genu of the corpus callosum (females) and in the anterior limb of the internal capsule (males), as well as gender-independent differences in the tapetum that predict remission. Diffusion MRI may play a key role in future guidance of clinical decision-making for MDD.
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Affiliation(s)
- Matt Lyon
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia
| | - Thomas Welton
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia
| | - Adrina Varda
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia; School of Medicine, University of Notre Dame, Sydney, Australia
| | - Jerome J Maller
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia; General Electric Healthcare, Richmond, Victoria, Australia
| | - Kathryn Broadhouse
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia
| | - Mayuresh S Korgaonkar
- The Brain Dynamics Centre, Westmead Millennium Institute and Sydney Medical School, Sydney, NSW, Australia
| | - Stephen H Koslow
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Leanne M Williams
- The Brain Dynamics Centre, Westmead Millennium Institute and Sydney Medical School, Sydney, NSW, Australia; Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC) Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA
| | - Evian Gordon
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia; Brain Resource Ltd, San Francisco, CA, USA
| | - A John Rush
- Duke-National University of Singapore, Singapore; Department of Psychiatry, Duke Medical School, Durham, NC, USA; Texas Tech University-Health Sciences Center, Permian Basin, TX, USA
| | - Stuart M Grieve
- Sydney Translational Imaging Laboratory, Heart Research Institute & Charles Perkins Centre, Sydney Medical School, University of Sydney, NSW 2006, Australia; Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW 2006, Australia.
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Disrupted Regional Spontaneous Neural Activity in Mild Cognitive Impairment Patients with Depressive Symptoms: A Resting-State fMRI Study. Neural Plast 2019; 2019:2981764. [PMID: 30728833 PMCID: PMC6341247 DOI: 10.1155/2019/2981764] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 11/26/2018] [Accepted: 12/06/2018] [Indexed: 11/17/2022] Open
Abstract
Depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have an increased risk of dementia. It is currently unclear whether the pattern of spontaneous brain activity in patients with MCI differs between subjects with and without depressive symptoms. The current study sought to investigate the features of spontaneous brain activity in MCI patients with depressive symptoms (D-MCI) using coherence regional homogeneity (CReHo) analysis with resting-state functional magnetic resonance imaging (rsfMRI). We obtained rsfMRI data in 16 MCI patients with depressive symptoms and 18 nondepressed MCI patients (nD-MCI) using a 3 T scanner. Statistical analyses were performed to determine the regions in which ReHo differed between the two groups in specific frequency bands, slow-4 (0.027–0.073 Hz) and slow-5 (0.010–0.027 Hz), and typical bands (0.01–0.08 Hz). Correlation analyses were performed between the CReHo index of these regions and clinical variables to evaluate the relationship between CReHo and pathophysiological measures in the two groups. Our results showed that D-MCI patients exhibited significantly higher CReHo in the left Heschl's gyrus and left thalamus and lower CReHo in the left postcentral gyrus in the typical frequency band. In the slow-4 frequency band, D-MCI patients showed significantly higher CReHo in the left Heschl's gyrus and left thalamus. In the slow-5 frequency band, D-MCI patients exhibited significantly lower CReHo in the superior medial prefrontal gyrus. In addition, the results revealed that CReHo values in the left thalamus were positively correlated with Hamilton Depression Rating Scale (HAMD) scores in D-MCI patients. These results suggest that the sensorimotor network may be one of the main pathophysiological factors in D-MCI.
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Meloni A, Corda G, Saba L, Ferri GL, Mariotti S, Cocco C. Reduction of Total Brain and Cerebellum Volumes Associated With Neuronal Autoantibodies in Patients With APECED. J Clin Endocrinol Metab 2019; 104:150-162. [PMID: 30339230 DOI: 10.1210/jc.2018-01313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 10/15/2018] [Indexed: 01/16/2023]
Abstract
CONTEXT In autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED), autoantibodies (AutoAbs) labeling brain neurons were reported; conversely, brain MRI alterations associated with these AutoAbs were never reported. OBJECTIVES To describe brain alterations in APECED and to correlate them with AutoAbs against glutamic acid decarboxylase (GAD), tyrosine hydroxylase (TH), and 5-tryptophan hydroxylase (5-HT) neurons. DESIGN AND PARTICIPANTS Fourteen Sardinian patients with APECED and age-matched control subjects were recruited for MRI analysis and blood sampling to detect AutoAbs to GAD, TH, and 5-HT neurons by using rat brain sections. The majority of patients (n = 12) were investigated for AutoAbs a decade earlier, and 7 of 12 were positive for AutoAbs to GAD and TH neurons. MAIN OUTCOMES Patients with APECED had smaller cerebellum and gray matter volumes, with a ventricular enlargement and a total cerebrospinal fluid (CSF) increase, compared with controls (P < 0.01). In 11 of 14 patients, brain abnormalities were associated with AutoAbs to GAD or TH neurons (titer 1:100 to 15,000) that had persisted for 10 years in 7 of 11 patients. AutoAbs to 5-HT neurons were revealed in all patients with AutoAbs to TH neurons. A decrease in whole brain and cerebellum volumes (P = 0.028) was associated with AutoAbs to GAD neurons, and a CSF increase was associated with AutoAbs to GAD and TH/5-HT neurons (P < 0.05). HLA alleles did not appear to be involved in neuronal autoimmunity. CONCLUSIONS Brain alterations and neuronal AutoAbs were observed in 78.6% of Sardinian patients with APECED, suggesting a brain autoimmune reaction. Prolonged clinical follow-up must be conducted for the possible appearance of clinical neurologic consequences.
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Affiliation(s)
- Antonella Meloni
- Clinica Pediatrica II, Ospedale Pediatrico Microcitemico Antonio Cao, Clinical and Molecular Medicine, University of Cagliari, Cagliari (CA), Italy
- Sardinian APECED Association, Baunei (OG), Italy
| | - Giulia Corda
- NEF Laboratory, Department of Biomedical Sciences, University of Cagliari, Monserrato (CA), Italy
| | - Luca Saba
- Department of Radiology, AOU, University of Cagliari, Monserrato (CA), Italy
| | - Gian-Luca Ferri
- NEF Laboratory, Department of Biomedical Sciences, University of Cagliari, Monserrato (CA), Italy
| | - Stefano Mariotti
- Endocrinology Department of Medical Sciences and Public Health, University of Cagliari, Monserrato (CA), Italy
| | - Cristina Cocco
- NEF Laboratory, Department of Biomedical Sciences, University of Cagliari, Monserrato (CA), Italy
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Sun Y, Blumberger DM, Mulsant BH, Rajji TK, Fitzgerald PB, Barr MS, Downar J, Wong W, Farzan F, Daskalakis ZJ. Magnetic seizure therapy reduces suicidal ideation and produces neuroplasticity in treatment-resistant depression. Transl Psychiatry 2018; 8:253. [PMID: 30470735 PMCID: PMC6251931 DOI: 10.1038/s41398-018-0302-8] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 05/05/2018] [Accepted: 06/05/2018] [Indexed: 12/28/2022] Open
Abstract
Therapeutic seizures may work for treatment-resistant depression (TRD) by producing neuroplasticity. We evaluated whether magnetic seizure therapy (MST) produces changes in suicidal ideation and neuroplasticity as indexed through transcranial magnetic stimulation and electroencephalography (TMS-EEG) of the dorsolateral prefrontal cortex (DLPFC). Twenty-three patients with TRD were treated with MST. Changes in suicidal ideation was assessed through the Scale for Suicidal Ideation (SSI). Before and after the treatment course, neuroplasticity in excitatory and inhibitory circuits was assessed with TMS-EEG measures of cortical-evoked activity (CEA) and long-interval cortical inhibition (LICI) from the left DLPFC, and the left motor cortex as a control condition. As in our previous report, the relationship between TMS-EEG measures and suicidal ideation was examined with the SSI. Results show that 44.4% of patients experienced resolution of suicidal ideation. Based on DLPFC assessment, MST produced significant CEA increase over the frontal central electrodes (cluster p < 0.05), but did not change LICI on a group level. MST also reduced the SSI scores (p < 0.005) and the amount of reduction correlated with the decrease in LICI over the right frontal central electrodes (cluster p < 0.05; rho = 0.73 for Cz). LICI change identified patients who were resolved of suicidal ideation with 90% sensitivity and 88% specificity (AUC = 0.9, p = 0.004). There was no significant finding with motor cortex assessment. Overall, MST produced significant rates of resolution of suicidal ideation. MST also produced neuroplasticity in the frontal cortex, likely through long-term potentiation (LTP)-like mechanisms. The largest reduction in suicidal ideation was demonstrated in patients showing concomitant decreases in cortical inhibition-a mechanism linked to enhanced LTP-like plasticity. These findings provide insights into the mechanisms through which patients experience resolution of suicidal ideation following seizure treatments in depression.
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Affiliation(s)
- Yinming Sun
- 0000 0001 2157 2938grid.17063.33Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON Canada
| | - Daniel M. Blumberger
- 0000 0001 2157 2938grid.17063.33Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON Canada ,0000 0001 2157 2938grid.17063.33Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Benoit H. Mulsant
- 0000 0001 2157 2938grid.17063.33Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Tarek K. Rajji
- 0000 0001 2157 2938grid.17063.33Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON Canada ,0000 0001 2157 2938grid.17063.33Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Paul B. Fitzgerald
- Epworth Healthcare and Monash Alfred Psychiatry Research Centre, Alfred and Monash University Central Clinical School, Melbourne, VIC Australia
| | - Mera S. Barr
- 0000 0001 2157 2938grid.17063.33Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON Canada
| | - Jonathan Downar
- 0000 0001 2157 2938grid.17063.33Department of Psychiatry, University Health Network, University of Toronto, Toronto, ON Canada
| | - Willy Wong
- 0000 0001 2157 2938grid.17063.33Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON Canada
| | - Faranak Farzan
- 0000 0001 2157 2938grid.17063.33Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON Canada
| | - Zafiris J. Daskalakis
- 0000 0001 2157 2938grid.17063.33Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON Canada ,0000 0001 2157 2938grid.17063.33Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
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Evans JW, Szczepanik J, Brutsché N, Park LT, Nugent AC, Zarate CA. Default Mode Connectivity in Major Depressive Disorder Measured Up to 10 Days After Ketamine Administration. Biol Psychiatry 2018; 84:582-590. [PMID: 29580569 PMCID: PMC6093808 DOI: 10.1016/j.biopsych.2018.01.027] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 01/05/2018] [Accepted: 01/23/2018] [Indexed: 12/28/2022]
Abstract
BACKGROUND The symptoms of major depressive disorder (MDD) are rapidly alleviated by administration of a single dose of the glutamatergic modulator ketamine. However, few studies have investigated the potential sustained neural effects of this agent beyond immediate infusion. This study used functional magnetic resonance imaging to examine the effect of a single ketamine infusion on the resting state default mode network (DMN) at 2 and 10 days after a single ketamine infusion in unmedicated subjects with MDD as well as healthy control subjects (HCs). METHODS Data were drawn from a double-blind, placebo-controlled crossover study of 58 participants (33 with MDD and 25 HCs) who received an intravenous infusion of either ketamine hydrochloride (0.5 mg/kg) or placebo on 2 separate test days spaced 2 weeks apart. Eight minutes of functional magnetic resonance imaging resting state data was acquired at baseline and at about 2 and 10 days after both infusions. The DMN was defined using seed-based correlation and was compared across groups and scans. RESULTS In subjects with MDD, connectivity between the insula and the DMN was normalized compared with HCs 2 days postketamine infusion. This change was reversed after 10 days and did not appear in either of the placebo scans. Group-specific connectivity differences in drug response were observed, most notably in the insula in subjects with MDD and in the thalamus in HCs. CONCLUSIONS Connectivity changes in the insula in subjects with MDD suggest that ketamine may normalize the interaction between the DMN and salience networks, supporting the triple network dysfunction model of MDD.
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Affiliation(s)
- Jennifer W Evans
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
| | - Joanna Szczepanik
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Nancy Brutsché
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Lawrence T Park
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Allison C Nugent
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Carlos A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
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Wang Y, Chen G, Zhong S, Jia Y, Xia L, Lai S, Zhao L, Huang L, Liu T. Association between resting-state brain functional connectivity and cortisol levels in unmedicated major depressive disorder. J Psychiatr Res 2018; 105:55-62. [PMID: 30189325 DOI: 10.1016/j.jpsychires.2018.08.025] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 08/30/2018] [Accepted: 08/31/2018] [Indexed: 01/10/2023]
Abstract
Disturbed hypothalamus-pituitary-adrenal axis function, which leads to excessive and prolonged hypercortisolemia, is a core feature of major depressive disorder (MDD). However, the relationships between depression, brain structure and function, and cortisol levels are unclear. The current study examined the whole-brain functional connectivity pattern of patients with MDD and evaluated the association between functional connectivity and serum cortisol levels in MDD. A total of 93 unmedicated patients with MDD and 139 healthy control subjects underwent resting-state functional magnetic resonance imaging. Voxel-wise whole-brain connectivity was analyzed by using a graph theory approach: functional connectivity strength (FCS). A seed-based resting-state functional connectivity analysis was further performed to investigate abnormal functional connectivity patterns of those regions with changed FCS. Morning blood samples were drawn for cortisol measurements in some subjects (including 53 MDD patients and 30 controls). The MDD patients had a significantly lower FCS in the left posterior lobes of the cerebellum (mainly lobule Crus II) (p < 0.05, TFCE corrected). The seed-based functional connectivity analysis revealed decreased functional connectivity between the left posterior cerebellum and the left medial orbitofrontal cortex (OFC) (p < 0.05, TFCE corrected). Moreover, the functional connectivity between the left posterior cerebellum and the left medial OFC were significantly positively correlated with the serum cortisol levels in MDD patients. Our results suggest that cerebellar dysconnectivity, in particular distributed cerebellar-OFC functional connectivity, may be associated with serum cortisol levels in MDD patients.
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Affiliation(s)
- Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China.
| | - Guanmao Chen
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Shuming Zhong
- 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
| | - Liu Xia
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, 518003, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Lianping Zhao
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Tiebang Liu
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, 518003, China.
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148
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Yüksel D, Engelen J, Schuster V, Dietsche B, Konrad C, Jansen A, Dannlowski U, Kircher T, Krug A. Longitudinal brain volume changes in major depressive disorder. J Neural Transm (Vienna) 2018; 125:1433-1447. [PMID: 30167933 DOI: 10.1007/s00702-018-1919-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 08/20/2018] [Indexed: 12/31/2022]
Abstract
Patients with major depressive disorder (MDD) exhibit gray matter volume (GMV) reductions in limbic regions. Clinical variables-such as the number of depressive episodes-seem to affect volume alterations. It is unclear whether the observed cross-sectional GMV abnormalities in MDD change over time, and whether there is a longitudinal relationship between GMV changes and the course of disorder. We investigated T1 structural MRI images of 54 healthy control (HC) and 37 MDD patients in a 3-Tesla-MRI with a follow-up interval of 3 years. The Cat12 toolbox was used to analyze longitudinal data (p < 0.05, FWE-corrected, whole-brain analysis; flexible factorial design). Interaction effects indicated increasing GMV in MDD in the bilateral amygdala, and decreasing GMV in the right thalamus between T1 and T2. Further analyses comparing patients with a mild course of disorder (MCD; 0-1 depressive episode during the follow-up) to patients with a severe course of disorder (SCD; > 1 depressive episode during the follow-up) revealed increasing amygdalar volume in MCD. Our study confirms structural alterations in limbic regions in MDD patients and an association between these impairments and the course of disorder. Thus, we assume that the reported volumetric alterations in the left amygdala (i.e. volumetric normalization) are reversible and apparently driven by the clinical phenotype. Hence, these results support the assumption that the severity and progression of disease influences amygdalar GMV changes in MDD or vice versa.
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Affiliation(s)
- Dilara Yüksel
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
| | - Jennifer Engelen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Verena Schuster
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Bruno Dietsche
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
- Agaplesion Diakonieklinikum Rotenburg, Centre for Psychosocial Medicine, Elise-Averdieck-Straße 17, 27356, Rotenburg (Wümme), Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
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Yang J, Zhang M, Ahn H, Zhang Q, Jin TB, Li I, Nemesure M, Joshi N, Jiang H, Miller JM, Ogden RT, Petkova E, Milak MS, Sublette ME, Sullivan GM, Trivedi MH, Weissman M, McGrath PJ, Fava M, Kurian BT, Pizzagalli DA, Cooper CM, McInnis M, Oquendo MA, Mann JJ, Parsey RV, DeLorenzo C. Development and evaluation of a multimodal marker of major depressive disorder. Hum Brain Mapp 2018; 39:4420-4439. [PMID: 30113112 DOI: 10.1002/hbm.24282] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/16/2018] [Accepted: 06/04/2018] [Indexed: 12/30/2022] Open
Abstract
This study aimed to identify biomarkers of major depressive disorder (MDD), by relating neuroimage-derived measures to binary (MDD/control), ordinal (severe MDD/mild MDD/control), or continuous (depression severity) outcomes. To address MDD heterogeneity, factors (severity of psychic depression, motivation, anxiety, psychosis, and sleep disturbance) were also used as outcomes. A multisite, multimodal imaging (diffusion MRI [dMRI] and structural MRI [sMRI]) cohort (52 controls and 147 MDD patients) and several modeling techniques-penalized logistic regression, random forest, and support vector machine (SVM)-were used. An additional cohort (25 controls and 83 MDD patients) was used for validation. The optimally performing classifier (SVM) had a 26.0% misclassification rate (binary), 52.2 ± 1.69% accuracy (ordinal) and r = .36 correlation coefficient (p < .001, continuous). Using SVM, R2 values for prediction of any MDD factors were <10%. Binary classification in the external data set resulted in 87.95% sensitivity and 32.00% specificity. Though observed classification rates are too low for clinical utility, four image-based features contributed to accuracy across all models and analyses-two dMRI-based measures (average fractional anisotropy in the right cuneus and left insula) and two sMRI-based measures (asymmetry in the volume of the pars triangularis and the cerebellum) and may serve as a priori regions for future analyses. The poor accuracy of classification and predictive results found here reflects current equivocal findings and sheds light on challenges of using these modalities for MDD biomarker identification. Further, this study suggests a paradigm (e.g., multiple classifier evaluation with external validation) for future studies to avoid nongeneralizable results.
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Affiliation(s)
- Jie Yang
- Department of Family, Population and Preventive Medicine, Stony Brook University, New York, New York
| | - Mengru Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Hongshik Ahn
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Qing Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Tony B Jin
- Department of Psychiatry, Stony Brook University, New York, New York
| | - Ien Li
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
| | - Matthew Nemesure
- Integrative Neuroscience Program, Binghamton University, Binghamton, New York
| | - Nandita Joshi
- Department of Electrical and Computer Engineering, Stony Brook University, New York, New York
| | - Haoran Jiang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Jeffrey M Miller
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Eva Petkova
- Department of Child & Adolescent Psychiatry, Department of Population Health, New York University, New York, New York
| | - Matthew S Milak
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Gregory M Sullivan
- Chief Medical Officer, Clinical Research and Development program, Tonix Pharmaceuticals, Inc., New York, New York
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Benji T Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Maria A Oquendo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph John Mann
- Department of Psychiatry, Columbia University, New York, New York
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, New York, New York
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Mishra PK, Kumar A, Behar KL, Patel AB. Subanesthetic ketamine reverses neuronal and astroglial metabolic activity deficits in a social defeat model of depression. J Neurochem 2018; 146:722-734. [PMID: 29964293 DOI: 10.1111/jnc.14544] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 06/15/2018] [Accepted: 06/25/2018] [Indexed: 12/12/2022]
Abstract
Depression is one of the most debilitating neuropsychiatric disorders. Most of the current antidepressants have long remission time and low recovery rate. This study explores the impact of ketamine on neuronal and astroglial metabolic activity in prefrontal cortex in a social defeat (SD) model of depression. C57BL/6 mice were subjected to a social defeat paradigm for 5 min a day for 10 consecutive days. Ketamine (10 mg/kg, intraperitoneal) was administered to mice for two consecutive days following the last defeat stress. Mice were infused with [1,6-13 C2 ]glucose or [2-13 C]acetate to assess neuronal and astroglial metabolic activity, respectively, together with proton-observed carbon-edited nuclear magnetic resonance spectroscopy in prefrontal cortex tissue extract. The 13 C labeling of amino acids from glucose and acetate was decreased in SD mice. Ketamine treatment in SD mice restored sucrose preference, social interaction and immobility time to control values. Acute subanesthetic ketamine restored the 13 C labeling of brain amino acids from glucose as well as acetate in SD mice to the respective control values, suggesting that rates of neuronal and astroglial tricarboxylic acid (TCA) cycle and neurotransmitter cycling were re-established to normal levels. The finding of improved energy metabolism in SD mice suggests that fast anti-depressant action of ketamine is linked with improved neurotransmitter cycling.
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Affiliation(s)
- Pravin K Mishra
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Arvind Kumar
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Kevin L Behar
- Psychiatry, Magnetic Resonance Research Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Anant B Patel
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
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