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Wang J, Li G, Ji G, Hu Y, Zhang W, Ji W, Yu J, Han Y, Cui G, Wang H, Manza P, Volkow ND, Wang GJ, Zhang Y. Habenula Volume and Functional Connectivity Changes Following Laparoscopic Sleeve Gastrectomy for Obesity Treatment. Biol Psychiatry 2024; 95:916-925. [PMID: 37480977 DOI: 10.1016/j.biopsych.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 06/18/2023] [Accepted: 07/13/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Neuroimaging studies have revealed alterations in habenular (Hb) structure and functional connectivity (FC) in psychiatric conditions. The Hb plays a particularly critical role in regulating negative emotions, which trigger excessive food intake and obesity. However, obesity and weight loss intervention (i.e., laparoscopic sleeve gastrectomy [LSG])-associated changes in Hb structure and FC have not been studied. METHODS We used voxel-based morphometry analysis to measure changes in gray matter volume (GMV) in the Hb in 56 patients with obesity at pre-LSG and 12 months post-LSG and in 78 normal-weight (NW) control participants. Then, we conducted Hb seed-based resting-state FC (RSFC) to examine obesity-related and LSG-induced alterations in RSFC. Finally, we used mediation analysis to characterize the interrelationships among Hb GMV, RSFC, and behaviors. RESULTS Compared with NW participants, Hb GMV was smaller in patients at pre-LSG and increased at 12 months post-LSG to levels equivalent to that of NW; in addition, increases in Hb GMV were correlated with reduced body mass index (BMI). Compared with NW participants, pre-LSG patients showed greater RSFCs of the Hb-insula, Hb-precentral gyrus, and Hb-rolandic operculum and weaker RSFCs of the Hb-thalamus, Hb-hypothalamus, and Hb-caudate; LSG normalized these RSFCs. Decreased RSFC of the Hb-insula was correlated with reduced BMI, Yale Food Addiction Scale rating, and emotional eating; reduced hunger levels were correlated with increased RSFCs of the Hb-thalamus and Hb-hypothalamus; and reduced BMI and Yale Food Addiction Scale ratings were correlated with increased RSFCs of the Hb-thalamus and Hb-hypothalamus, respectively. The bidirectional relationships between Hb GMV and RSFC of the Hb-insula contributed to reduced BMI. CONCLUSIONS These findings indicate that LSG increased Hb GMV and that its related improvement in RSFC of the Hb-insula may mediate long-term benefits of LSG for eating behaviors and weight loss.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Gang Ji
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Juan Yu
- Department of Digestive Surgery, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
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Wu Y, Chu Z, Chen X, Zhu Y, Xu X, Shen Z. Functional connectivity between the habenula and posterior default mode network contributes to the response of the duloxetine effect in major depressive disorder. Neuroreport 2024; 35:380-386. [PMID: 38526956 DOI: 10.1097/wnr.0000000000002019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
This study aims to investigate the functional connectivity (FC) changes of the habenula (Hb) among patients with major depressive disorder (MDD) after 12 weeks of duloxetine treatment (MDD12). Patients who were diagnosed with MDD for the first time and were drug-naïve were recruited at baseline as cases. Healthy controls (HCs) matched for sex, age, and education level were also recruited at the same time. At baseline, all participants underwent resting-state functional MRI. FC analyses were performed using the Hb seed region of interest, and three groups including HCs, MDD group and MDD12 group were compared using whole-brain voxel-wise comparisons. Compared to the HCs, the MDD group had decreased FC between the Hb and the right anterior cingulate cortex at baseline. Compared to the HCs, the FC between the Hb and the left medial superior frontal gyrus decreased in the MDD12 group. Additionally, the FC between the left precuneus, bilateral cuneus and Hb increased in the MDD12 group than that in the MDD group. No significant correlation was found between HDRS-17 and the FC between the Hb, bilateral cuneus, and the left precuneus in the MDD12 group. Our study suggests that the FC between the post-default mode network and Hb may be the treatment mechanism of duloxetine and the treatment mechanisms and the pathogenesis of depression may be independent of each other.
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Affiliation(s)
- Yanru Wu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
| | - Zhaosong Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
| | - Xianyu Chen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
| | - Yun Zhu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
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Bian B, Zhang B, Wong C, Dou L, Pan X, Wang H, Guo S, Zhang H, Zhang L. Recent Advances in Habenula Imaging Technology: A Comprehensive Review. J Magn Reson Imaging 2024; 59:737-746. [PMID: 37254969 DOI: 10.1002/jmri.28830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/13/2023] [Accepted: 05/16/2023] [Indexed: 06/01/2023] Open
Abstract
The habenula (Hb) is involved in many natural human behaviors, and the relevance of its alterations in size and neural activity to several psychiatric disorders and addictive behaviors has been presumed and investigated in recent years using magnetic resonance imaging (MRI). Although the Hb is small, an increasing number of studies have overcome the difficulties in MRI. Conventional structural-based imaging also has great defects in observing the Hb contrast with adjacent structures. In addition, more and more attention should be paid to the Hb's functional, structural, and quantitative imaging studies. Several advanced MRI methods have recently been employed in clinical studies to explore the Hb and its involvement in psychiatric diseases. This review summarizes the anatomy and function of the human Hb; moreover, it focuses on exploring the human Hb with noninvasive MRI approaches, highlighting strategies to overcome the poor contrast with adjacent structures and the need for multiparametric MRI to develop imaging markers for diagnosis and treatment follow-up. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- BingYang Bian
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - Bei Zhang
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - ChinTing Wong
- Department of Nuclear Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Le Dou
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - XingChen Pan
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - HongChao Wang
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - ShiYu Guo
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - HuiMao Zhang
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
| | - Lei Zhang
- Department of Radiology, The First Hospital of Jilin University, Jilin Provincial Key Laboratory of Medical Imaging and Big Data, Radiology and Technology Innovation Center of Jilin Province, Jilin Provincial International Joint Research Center of Medical Artificial Intelligence, Changchun, Jilin, 130021, People's Republic of China
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Samanci B, Tan S, Michielse S, Kuijf ML, Temel Y. The habenula in Parkinson's disease: Anatomy, function, and implications for mood disorders - A narrative review. J Chem Neuroanat 2024; 136:102392. [PMID: 38237746 DOI: 10.1016/j.jchemneu.2024.102392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/07/2024] [Accepted: 01/12/2024] [Indexed: 01/31/2024]
Abstract
Parkinson's disease (PD), a widespread neurodegenerative disorder, often coexists with mood disorders. Degeneration of serotonergic neurons in brainstem raphe nuclei have been linked to depression and anxiety. Additionally, the locus coeruleus and its noradrenergic neurons are among the first areas to degenerate in PD and contribute to stress, emotional memory, motor, sensory, and autonomic symptoms. Another brain region of interest is habenula, which is especially related to anti-reward processing, and its function has recently been linked to PD and to mood-related symptoms. There are several neuroimaging studies that investigated role of the habenula in mood disorders. Differences in habenular size and hemispheric symmetry were found in healthy controls compared to individuals with mood disorders. The lateral habenula, as a link between the dopaminergic and serotonergic systems, is thought to contribute to depressive symptoms in PD. However, there is only one imaging study about role of habenula in mood disorders in PD, although the relationship between PD and mood disorders is known. There is little known about habenula pathology in PD but given these observations, the question arises whether habenular dysfunction could play a role in PD and the development of PD-related mood disorders. In this review, we evaluate neuroimaging techniques and studies that investigated the habenula in the context of PD and mood disorders. Future studies are important to understand habenula's role in PD patients with mood disorders. Thus, new potential diagnostic and treatment opportunities would be found for mood disorders in PD.
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Affiliation(s)
- Bedia Samanci
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
| | - Sonny Tan
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
| | - Stijn Michielse
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands
| | - Mark L Kuijf
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Yasin Temel
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, the Netherlands
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Fu Y, Yang Y, Huang L, Huang X, Yang Q, Tao Q, Wu J, So KF, Lin S, Yuan TF, Ren C. A visual circuit related to the habenula mediates the prevention of cocaine relapse by bright light treatment. Sci Bull (Beijing) 2023; 68:2063-2076. [PMID: 37586975 DOI: 10.1016/j.scib.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 04/25/2023] [Accepted: 06/25/2023] [Indexed: 08/18/2023]
Abstract
Despite significant advancements in our understanding of addiction at the neurobiological level, a highly effective extinction procedure for preventing relapse remains elusive. In this study, we report that bright light treatment (BLT) administered during cocaine withdrawal with extinction training prevents cocaine-driven reinstatement by acting through the thalamic-habenular pathway. We found that during cocaine withdrawal, the lateral habenula (LHb) was recruited, and inhibition of the LHb via BLT prevented cocaine-driven reinstatement. We also demonstrated that the effects of BLT were mediated by activating LHb-projecting neurons in the ventral lateral geniculate nucleus and intergeniculate leaflet (vLGN/IGL) or by inhibiting postsynaptic LHb neurons. Furthermore, BLT was found to improve aversive emotional states induced by drug withdrawal. Our findings suggest that BLT administered during the cocaine withdrawal may be a promising strategy for achieving drug abstinence.
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Affiliation(s)
- Yunwei Fu
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Yan Yang
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Lu Huang
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Xiaodan Huang
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Qian Yang
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Qian Tao
- Psychology Department, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jijin Wu
- Physiology Department, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Kwok-Fai So
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong 226019, China
| | - Song Lin
- Physiology Department, School of Medicine, Jinan University, Guangzhou 510632, China.
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong 226019, China.
| | - Chaoran Ren
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong 226019, China.
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Kirstein CF, Güntürkün O, Ocklenburg S. Ultra-high field imaging of the amygdala - A narrative review. Neurosci Biobehav Rev 2023; 152:105245. [PMID: 37230235 DOI: 10.1016/j.neubiorev.2023.105245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/11/2023] [Accepted: 05/21/2023] [Indexed: 05/27/2023]
Abstract
The amygdala is an evolutionarily conserved core structure in emotion processing and one of the key regions of interest in affective neuroscience. Results of neuroimaging studies focusing on the amygdala are, however, often heterogeneous since it is composed of functionally and neuroanatomically distinct subnuclei. Fortunately, ultra-high-field imaging offers several advances for amygdala research, most importantly more accurate representation of functional and structural properties of subnuclei and their connectivity. Most clinical studies using ultra-high-field imaging focused on major depression, suggesting either overall rightward amygdala atrophy or distinct bilateral patterns of subnuclear atrophy and hypertrophy. Other pathologies are only sparsely covered. Connectivity analyses identified widespread networks for learning and memory, stimulus processing, cognition, and social processes. They provide evidence for distinct roles of the central, basal, and basolateral nucleus, and the extended amygdala in fear and emotion processing. Amid largely sparse and ambiguous evidence, we propose theoretical and methodological considerations that will guide ultra-high-field imaging in comprehensive investigations to help disentangle the ambiguity of the amygdala's function, structure, connectivity, and clinical relevance.
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Affiliation(s)
- Cedric Fabian Kirstein
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Germany.
| | - Onur Güntürkün
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Germany; Research Center One Health Ruhr, Research Alliance Ruhr, Ruhr-University Bochum, Bochum, Germany
| | - Sebastian Ocklenburg
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Germany; Department of Psychology, MSH Medical School Hamburg, Germany; Institute for Cognitive and Affective Neuroscience, MSH Medical School Hamburg, Germany
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Li G, Bo B, Wang P, Qian P, Li M, Li Y, Tong C, Zhang K, Zhang B, Jiang T, Liang Z, Duan X. Instantaneous antidepressant effect of lateral habenula deep brain stimulation in rats studied with functional MRI. eLife 2023; 12:e84693. [PMID: 37261976 PMCID: PMC10234627 DOI: 10.7554/elife.84693] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 05/12/2023] [Indexed: 06/03/2023] Open
Abstract
The available treatments for depression have substantial limitations, including low response rates and substantial lag time before a response is achieved. We applied deep brain stimulation (DBS) to the lateral habenula (LHb) of two rat models of depression (Wistar Kyoto rats and lipopolysaccharide-treated rats) and observed an immediate (within seconds to minutes) alleviation of depressive-like symptoms with a high-response rate. Simultaneous functional MRI (fMRI) conducted on the same sets of depressive rats used in behavioral tests revealed DBS-induced activation of multiple regions in afferent and efferent circuitry of the LHb. The activation levels of brain regions connected to the medial LHb (M-LHb) were correlated with the extent of behavioral improvements. Rats with more medial stimulation sites in the LHb exhibited greater antidepressant effects than those with more lateral stimulation sites. These results indicated that the antidromic activation of the limbic system and orthodromic activation of the monoaminergic systems connected to the M-LHb played a critical role in the rapid antidepressant effects of LHb-DBS. This study indicates that M-LHb-DBS might act as a valuable, rapid-acting antidepressant therapeutic strategy for treatment-resistant depression and demonstrates the potential of using fMRI activation of specific brain regions as biomarkers to predict and evaluate antidepressant efficacy.
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Affiliation(s)
- Gen Li
- Department of Biomedical Engineering, College of Future Technology, Peking UniversityBeijingChina
| | - Binshi Bo
- Institute of Neuroscience, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of SciencesShanghaiChina
| | - Puxin Wang
- Department of Biomedical Engineering, College of Future Technology, Peking UniversityBeijingChina
- Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Peixing Qian
- Department of Biomedical Engineering, College of Future Technology, Peking UniversityBeijingChina
- Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Mingzhe Li
- Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Yuyan Li
- Department of Biomedical Engineering, College of Future Technology, Peking UniversityBeijingChina
| | - Chuanjun Tong
- Institute of Neuroscience, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of SciencesShanghaiChina
- School of Biomedical Engineering, Southern Medical UniversityGuangzhouChina
| | - Kaiwei Zhang
- Institute of Neuroscience, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of SciencesShanghaiChina
| | - Baogui Zhang
- Brainnetome Center, Institute of Automation, Chinese Academy of SciencesBeijingChina
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of SciencesBeijingChina
| | - Zhifeng Liang
- Institute of Neuroscience, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of SciencesShanghaiChina
| | - Xiaojie Duan
- Department of Biomedical Engineering, College of Future Technology, Peking UniversityBeijingChina
- Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
- National Biomedical Imaging Center, Peking UniversityBeijingChina
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Zhu Z, Wang S, Lee T, Zhang R. Habenula functional connectivity variability increases with disease severity in individuals with major depression. J Affect Disord 2023; 333:216-224. [PMID: 37088249 DOI: 10.1016/j.jad.2023.04.082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 03/23/2023] [Accepted: 04/18/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND Increasing evidence has suggested the significant relationships between major depressive disorder (MDD) and the neural abnormalities of the Habenula (Hb). Yet, previous research on the relationships between Hb and MDD mainly focuses on the static descriptions of their functional connectivity. However, recent work suggests that the connectivity patterns are indeed dynamic, though related analysis and interpretation remain scarce. METHODS Using seed-based resting-state fMRI, the static (sFC) and dynamic functional connectivity (dFC) between the Hb and whole-brain were calculated, including 51 clinical participants (MDDs) and 45 healthy controls (HCs). Association between the aberrant connectivity patterns and depressive symptomatology was also analyzed. RESULTS Compared with the HCs, MDDs exhibited increased sFC from the left Hb to the right inferior temporal gyrus and left superior frontal gyrus (SFG), while sFC to the right calcarine gyrus decreased. Notably, we observed that dFC between the left Hb and the right supplementary motor area, right postcentral gyrus (PoCG), left inferior frontal gyrus as well as left occipital gyrus was weak in MDDs. Furthermore, sFC between the Hb and SFG correlated positively with the measured attention-related cognitive deficits. Importantly, there was a positive correlation between dFC between the Hb and PoCG and depressive severity. CONCLUSIONS The findings indicate that the anomalous neural circuitry of Hb may underpin impaired attention disengagement, emotional modulation and motor inhibition associated with depressive symptoms such as rumination disposition and psychomotor retardation. This may open new avenues for studying the neuropathology mechanisms and guiding new treatment strategies for MDD.
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Affiliation(s)
- Ziqing Zhu
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Sibin Wang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Tatia Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China; Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, China.
| | - Ruibin Zhang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, China; Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
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Wang J, Ji G, Li G, Hu Y, Zhang W, Ji W, Tan Z, Li H, Jiang F, Zhang Y, Wu F, von Deneen KM, Yu J, Han Y, Cui G, Manza P, Tomasi D, Volkow ND, Nie Y, Zhang Y, Wang GJ. Habenular connectivity predict weight loss and negative emotional-related eating behavior after laparoscopic sleeve gastrectomy. Cereb Cortex 2023; 33:2037-2047. [PMID: 35580853 PMCID: PMC10365841 DOI: 10.1093/cercor/bhac191] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 11/14/2022] Open
Abstract
Habenular (Hb) processes negative emotions that may drive compulsive food-intake. Its functional changes were reported following laparoscopic-sleeve-gastrectomy (LSG). However, structural connectivity (SC) of Hb-homeostatic/hedonic circuits after LSG remains unclear. We selected regions implicated in homeostatic/hedonic regulation that have anatomical connections with Hb as regions-of-interest (ROIs), and used diffusion-tensor-imaging with probabilistic tractography to calculate SC between Hb and these ROIs in 30 obese participants before LSG (PreLSG) and at 12-month post-LSG (PostLSG12) and 30 normal-weight controls. Three-factor-eating-questionnaire (TFEQ) and Dutch-eating-behavior-questionnaire (DEBQ) were used to assess eating behaviors. LSG significantly decreased weight, negative emotion, and improved self-reported eating behavior. LSG increased SC between the Hb and homeostatic/hedonic regions including hypothalamus (Hy), bilateral superior frontal gyri (SFG), left amygdala (AMY), and orbitofrontal cortex (OFC). TFEQ-hunger negatively correlated with SC of Hb-Hy at PostLSG12; and increased SC of Hb-Hy correlated with reduced depression and DEBQ-external eating. TFEQ-disinhibition negatively correlated with SC of Hb-bilateral SFG at PreLSG. Increased SC of Hb-left AMY correlated with reduced DEBQ-emotional eating. Higher percentage of total weight-loss negatively correlated with SC of Hb-left OFC at PreLSG. Enhanced SC of Hb-homeostatic/hedonic regulatory regions post-LSG may contribute to its beneficial effects in improving eating behaviors including negative emotional eating, and long-term weight-loss.
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Affiliation(s)
- Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China.,International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
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10
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Compulsive drug-taking is associated with habenula-frontal cortex connectivity. Proc Natl Acad Sci U S A 2022; 119:e2208867119. [PMID: 36469769 PMCID: PMC9897479 DOI: 10.1073/pnas.2208867119] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
Abstract
As a critical node connecting the forebrain with the midbrain, the lateral habenula (LHb) processes negative feedback in response to aversive events and plays an essential role in value-based decision-making. Compulsive drug use, a hallmark of substance use disorder, is attributed to maladaptive decision-making regarding aversive drug-use-related events and has been associated with dysregulation of various frontal-midbrain circuits. To understand the contributions of frontal-habenula-midbrain circuits in the development of drug dependence, we employed a rat model of methamphetamine self-administration (SA) in the presence of concomitant footshock, which has been proposed to model compulsive drug-taking in humans. In this longitudinal study, functional MRI data were collected at pretraining baseline, after 20 d of long-access SA phase, and after 5 d of concomitant footshock coupled with SA (punishment phase). Individual differences in response to punishment were quantified by a "compulsivity index (CI)," defined as drug infusions at the end of punishment phase, normalized by those at the end of SA phase. Functional connectivity of LHb with the frontal cortices and substantia nigra (SN) after the punishment phase was positively correlated with the CI in rats that maintained drug SA despite receiving increasing-intensity footshock. In contrast, functional connectivity of the same circuits was negatively correlated with CI in rats that significantly reduced SA. These findings suggest that individual differences in compulsive drug-taking are reflected by alterations within frontal-LHb-SN circuits after experiencing the negative consequences from SA, suggesting these circuits may serve as unique biomarkers and potential therapeutic targets for individualized treatment of addiction.
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11
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Heart-brain synchronization breakdown in Parkinson's disease. NPJ Parkinsons Dis 2022; 8:64. [PMID: 35637221 PMCID: PMC9151654 DOI: 10.1038/s41531-022-00323-w] [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: 08/04/2021] [Accepted: 04/27/2022] [Indexed: 11/08/2022] Open
Abstract
Heart rate variability (HRV) abnormalities are potential early biomarkers in Parkinson’s disease (PD) but their relationship with central autonomic network (CAN) activity is not fully understood. We analyzed the synchronization between HRV and brain activity in 31 PD patients and 21 age-matched healthy controls using blood-oxygen-level-dependent (BOLD) signals from resting-state functional brain MRI and HRV metrics from finger plethysmography recorded for 7.40 min. We additionally quantified autonomic symptoms (SCOPA-AUT) and objective autonomic cardiovascular parameters (blood pressure and heart rate) during deep breathing, Valsalva, and head-up tilt, which were used to classify the clinical severity of dysautonomia. We evaluated HRV and BOLD signals synchronization (HRV-BOLD-sync) with Pearson lagged cross-correlations and Fisher’s statistics for combining window-length-dependent HRV-BOLD-Sync Maps and assessed their association with clinical dysautonomia. HRV-BOLD-sync was lower significantly in PD than in controls in various brain regions within CAN or in networks involved in autonomic modulation. Moreover, heart-brain synchronization index (HBSI), which quantifies heart-brain synchronization at a single-subject level, showed an inverse exposure–response relationship with dysautonomia severity, finding the lowest HBSI in patients with severe dysautonomia, followed by moderate, mild, and, lastly, controls. Importantly, HBSI was associated in PD, but not in controls, with Valsalva pressure recovery time (sympathetic), deep breathing E/I ratio (cardiovagal), and SCOPA-AUT. Our findings support the existence of heart-brain de-synchronization in PD with an impact on clinically relevant autonomic outcomes.
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12
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Yee DM, Leng X, Shenhav A, Braver TS. Aversive motivation and cognitive control. Neurosci Biobehav Rev 2022; 133:104493. [PMID: 34910931 PMCID: PMC8792354 DOI: 10.1016/j.neubiorev.2021.12.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 11/12/2021] [Accepted: 12/09/2021] [Indexed: 02/03/2023]
Abstract
Aversive motivation plays a prominent role in driving individuals to exert cognitive control. However, the complexity of behavioral responses attributed to aversive incentives creates significant challenges for developing a clear understanding of the neural mechanisms of this motivation-control interaction. We review the animal learning, systems neuroscience, and computational literatures to highlight the importance of experimental paradigms that incorporate both motivational context manipulations and mixed motivational components (e.g., bundling of appetitive and aversive incentives). Specifically, we postulate that to understand aversive incentive effects on cognitive control allocation, a critical contextual factor is whether such incentives are associated with negative reinforcement or punishment. We further illustrate how the inclusion of mixed motivational components in experimental paradigms enables increased precision in the measurement of aversive influences on cognitive control. A sharpened experimental and theoretical focus regarding the manipulation and assessment of distinct motivational dimensions promises to advance understanding of the neural, monoaminergic, and computational mechanisms that underlie the interaction of motivation and cognitive control.
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Affiliation(s)
- Debbie M Yee
- Cognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA; Department of Psychological and Brain Sciences, Washington University in Saint Louis, USA.
| | - Xiamin Leng
- Cognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA
| | - Amitai Shenhav
- Cognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA
| | - Todd S Braver
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, USA
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13
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Pulcu E, Guinea C, Cowen PJ, Murphy SE, Harmer CJ. A translational perspective on the anti-anhedonic effect of ketamine and its neural underpinnings. Mol Psychiatry 2022; 27:81-87. [PMID: 34158619 PMCID: PMC8960410 DOI: 10.1038/s41380-021-01183-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 05/15/2021] [Accepted: 05/28/2021] [Indexed: 02/06/2023]
Abstract
Anhedonia, a pronounced reduction in interest or pleasure in any of life's daily activities, is a cardinal symptom of major depression. In this Perspective article, we synthesise the recent evidence from rodent, monkey and human neuroimaging literature to highlight how the habenula, a small evolutionarily conserved subcortical structure located in the midbrain, may orchestrate the behavioural expression of anhedonia across fronto-mesolimbic networks. We then review how this circuitry can be modulated by ketamine, an NMDA receptor antagonist with rapid antidepressant properties. We propose that experimental paradigms founded in reinforcement learning and value-based decision-making can usefully probe this network and thereby help elucidate the mechanisms underlying ketamine's rapid antidepressant action.
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Affiliation(s)
- Erdem Pulcu
- Department of Psychiatry, University of Oxford, Oxford, UK. .,Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK.
| | - Calum Guinea
- grid.4991.50000 0004 1936 8948Department of Psychiatry, University of Oxford, Oxford, UK ,grid.416938.10000 0004 0641 5119Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX UK
| | - Philip J. Cowen
- grid.4991.50000 0004 1936 8948Department of Psychiatry, University of Oxford, Oxford, UK ,grid.416938.10000 0004 0641 5119Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX UK
| | - Susannah E. Murphy
- grid.4991.50000 0004 1936 8948Department of Psychiatry, University of Oxford, Oxford, UK ,grid.416938.10000 0004 0641 5119Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX UK
| | - Catherine J. Harmer
- grid.4991.50000 0004 1936 8948Department of Psychiatry, University of Oxford, Oxford, UK ,grid.416938.10000 0004 0641 5119Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX UK
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14
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Jung JY, Cho SE, Kim N, Kang CK, Kang SG. Decreased resting-state functional connectivity of the habenula-cerebellar in a major depressive disorder. Front Psychiatry 2022; 13:925823. [PMID: 36147982 PMCID: PMC9485485 DOI: 10.3389/fpsyt.2022.925823] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 08/11/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND In animal experiments, the habenula and septal nuclei are known as the key brain areas of depression. However, there are few magnetic resonance imaging (MRI) studies on the functional connectivity between these areas and the subcortical areas in humans with major depression. We aimed to investigate the difference in resting-state functional connectivity (RSFC) among the major regions of interest (ROI) in the subcortical areas, including both the habenula and septal nuclei. METHODS We performed the seed-to-voxel analysis to investigate the RSFC between both the habenula and septal nucleus, as well as other subcortical regions. Furthermore, ROI-to-ROI analysis was performed among the combinations of ROI pairs in the subcortical areas. RESULTS The seed-to-voxel analysis showed a lower RSFC between the left habenula and the cerebellum in major depressive disorder (MDD) than in healthy controls (HCs). As a result of ROI-to-ROI analysis in subcortical areas, a total of 31 pairs of FCs in the MDD group showed a lower RSFC than in the HCs group. CONCLUSION This study revealed a lower RSFC between the left habenula and cerebellum in patients with MDD and reduced RSFC among numerous subcortical areas. These new findings on the neural circuitry of MDD might contribute to an in-depth understanding of depression.
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Affiliation(s)
- Ju-Yeon Jung
- Department of Health Science, Gachon University Graduate School, Incheon, South Korea
| | - Seo-Eun Cho
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Nambeom Kim
- Department of Biomedical Engineering Research Center, Gachon University, Incheon, South Korea
| | - Chang-Ki Kang
- Department of Radiological Science, College of Health Science, Gachon University, Incheon, South Korea
| | - Seung-Gul Kang
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
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15
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Elias GJB, Germann J, Loh A, Boutet A, Pancholi A, Beyn ME, Bhat V, Woodside DB, Giacobbe P, Kennedy SH, Lozano AM. Habenular Involvement in Response to Subcallosal Cingulate Deep Brain Stimulation for Depression. Front Psychiatry 2022; 13:810777. [PMID: 35185654 PMCID: PMC8854862 DOI: 10.3389/fpsyt.2022.810777] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 01/03/2022] [Indexed: 11/13/2022] Open
Abstract
The habenula (Hb) is a small, evolutionarily conserved epithalamic structure implicated in functions such as reward and mood regulation. Prior imaging work suggests that Hb's structural and functional properties may relate to treatment response in depression and other mood disorders. We used multimodal MRI techniques to investigate the potential involvement of Hb in response to subcallosal cingulate area deep brain stimulation (SCC-DBS) for treatment-resistant mood disorders. Using an automated segmentation technique, we compared Hb volume at baseline and at a subsequent post-operative timepoint (4.4 ± 3.0 years after surgery) in a cohort of 32 patients who received SCC-DBS. Clinical response to treatment (≥50% decrease in HAMD-17 from baseline to 12 months post-operation) was significantly associated with longitudinal Hb volume change: responders tended to have increased Hb volume over time, while non-responders showed decreased Hb volume (t = 2.4, p = 0.021). We additionally used functional MRI (fMRI) in a subcohort of SCC-DBS patients (n = 12) to investigate immediate within-patient changes in Hb functional connectivity associated with SCC-DBS stimulation. Active DBS was significantly associated with increased Hb connectivity to several prefrontal and corticolimbic regions (TFCE-adjusted p Bonferroni < 0.0001), many of which have been previously implicated in the neurocircuitry of depression. Taken together, our results suggest that Hb may play an important role in the antidepressant effect of SCC-DBS.
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Affiliation(s)
- Gavin J B Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Aaron Loh
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada.,Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Aditya Pancholi
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Michelle E Beyn
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Venkat Bhat
- Centre for Mental Health and Krembil Research Centre, University Health Network, Toronto, ON, Canada
| | - D Blake Woodside
- Centre for Mental Health, University Health Network, Toronto, ON, Canada
| | - Peter Giacobbe
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sidney H Kennedy
- Centre for Mental Health, University Health Network, Toronto, ON, Canada.,Krembil Research Institute, University of Toronto, Toronto, ON, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada.,Krembil Research Institute, University of Toronto, Toronto, ON, Canada
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16
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Colizoli O, de Gee JW, van der Zwaag W, Donner TH. Functional magnetic resonance imaging responses during perceptual decision-making at 3 and 7 T in human cortex, striatum, and brainstem. Hum Brain Mapp 2021; 43:1265-1279. [PMID: 34816533 PMCID: PMC8837598 DOI: 10.1002/hbm.25719] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/03/2021] [Accepted: 11/07/2021] [Indexed: 11/29/2022] Open
Abstract
While functional magnetic resonance imaging (fMRI) at ultra‐high field (7 T) promises a general increase in sensitivity compared to lower field strengths, the benefits may be most pronounced for specific applications. The current study aimed to evaluate the relative benefit of 7 over 3 T fMRI for the assessment of responses evoked in different brain regions by a well‐controlled cognitive task. At 3 and 7 T, the same participants made challenging perceptual decisions about visual motion combined with monetary rewards for correct choices. Previous work on this task has extensively characterized the underlying cognitive computations and single‐cell responses in cortical and subcortical structures. We quantified the evoked fMRI responses in extrastriate visual cortical areas, the striatum, and the brainstem during the decision interval and the post‐feedback interval of the task. The dependence of response amplitudes on field strength during the decision interval differed between cortical, striatal, and brainstem regions, with a generally bigger 7 versus 3 T benefit in subcortical structures. We also found stronger responses during relatively easier than harder decisions at 7 T for dopaminergic midbrain nuclei, in line with reward expectation. Our results demonstrate the potential of 7 T fMRI for illuminating the contribution of small brainstem nuclei to the orchestration of cognitive computations in the human brain.
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Affiliation(s)
- Olympia Colizoli
- Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Jan Willem de Gee
- Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Tobias H Donner
- Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
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17
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Khalighinejad N, Garrett N, Priestley L, Lockwood P, Rushworth MFS. A habenula-insular circuit encodes the willingness to act. Nat Commun 2021; 12:6329. [PMID: 34732720 PMCID: PMC8566457 DOI: 10.1038/s41467-021-26569-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/07/2021] [Indexed: 11/08/2022] Open
Abstract
The decision that it is worth doing something rather than nothing is a core yet understudied feature of voluntary behaviour. Here we study "willingness to act", the probability of making a response given the context. Human volunteers encountered opportunities to make effortful actions in order to receive rewards, while watching a movie inside a 7 T MRI scanner. Reward and other context features determined willingness-to-act. Activity in the habenula tracked trial-by-trial variation in participants' willingness-to-act. The anterior insula encoded individual environment features that determined this willingness. We identify a multi-layered network in which contextual information is encoded in the anterior insula, converges on the habenula, and is then transmitted to the supplementary motor area, where the decision is made to either act or refrain from acting via the nigrostriatal pathway.
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Affiliation(s)
- Nima Khalighinejad
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, OX1 3SR, UK.
| | - Neil Garrett
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, OX1 3SR, UK
- School of Psychology, University of East Anglia, Norwich, UK
| | - Luke Priestley
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, OX1 3SR, UK
| | - Patricia Lockwood
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, OX1 3SR, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Matthew F S Rushworth
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, OX1 3SR, UK
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18
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Germann J, Gouveia FV, Brentani H, Bedford SA, Tullo S, Chakravarty MM, Devenyi GA. Involvement of the habenula in the pathophysiology of autism spectrum disorder. Sci Rep 2021; 11:21168. [PMID: 34707133 PMCID: PMC8551275 DOI: 10.1038/s41598-021-00603-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 10/13/2021] [Indexed: 11/09/2022] Open
Abstract
The habenula is a small epithalamic structure with widespread connections to multiple cortical, subcortical and brainstem regions. It has been identified as the central structure modulating the reward value of social interactions, behavioral adaptation, sensory integration and circadian rhythm. Autism spectrum disorder (ASD) is characterized by social communication deficits, restricted interests, repetitive behaviors, and is frequently associated with altered sensory perception and mood and sleep disorders. The habenula is implicated in all these behaviors and results of preclinical studies suggest a possible involvement of the habenula in the pathophysiology of this disorder. Using anatomical magnetic resonance imaging and automated segmentation we show that the habenula is significantly enlarged in ASD subjects compared to controls across the entire age range studied (6-30 years). No differences were observed between sexes. Furthermore, support-vector machine modeling classified ASD with 85% accuracy (model using habenula volume, age and sex) and 64% accuracy in cross validation. The Social Responsiveness Scale (SRS) significantly differed between groups, however, it was not related to individual habenula volume. The present study is the first to provide evidence in human subjects of an involvement of the habenula in the pathophysiology of ASD.
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Affiliation(s)
- Jürgen Germann
- grid.231844.80000 0004 0474 0428University Health Network, 399 Bathurst Street, Toronto, ON Canada ,grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada
| | - Flavia Venetucci Gouveia
- grid.42327.300000 0004 0473 9646Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON Canada
| | - Helena Brentani
- grid.11899.380000 0004 1937 0722Department of Psychiatry, University of Sao Paulo, Medical School, São Paulo, São Paulo Brazil ,grid.500696.cNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, São Paulo Brazil
| | - Saashi A. Bedford
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.5335.00000000121885934Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Stephanie Tullo
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Integrated Program in Neuroscience, McGill University, Montreal, QC Canada
| | - M. Mallar Chakravarty
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Biomedical Engineering, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Psychiatry, McGill University, Montreal, QC Canada
| | - Gabriel A. Devenyi
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Psychiatry, McGill University, Montreal, QC Canada
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19
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Raimondo L, Oliveira ĹAF, Heij J, Priovoulos N, Kundu P, Leoni RF, van der Zwaag W. Advances in resting state fMRI acquisitions for functional connectomics. Neuroimage 2021; 243:118503. [PMID: 34479041 DOI: 10.1016/j.neuroimage.2021.118503] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 08/16/2021] [Accepted: 08/22/2021] [Indexed: 01/21/2023] Open
Abstract
Resting state functional magnetic resonance imaging (rs-fMRI) is based on spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously in different brain regions, without the subject performing an explicit task. The low-frequency oscillations of the rs-fMRI signal demonstrate an intrinsic spatiotemporal organization in the brain (brain networks) that may relate to the underlying neural activity. In this review article, we briefly describe the current acquisition techniques for rs-fMRI data, from the most common approaches for resting state acquisition strategies, to more recent investigations with dedicated hardware and ultra-high fields. Specific sequences that allow very fast acquisitions, or multiple echoes, are discussed next. We then consider how acquisition methods weighted towards specific parts of the BOLD signal, like the Cerebral Blood Flow (CBF) or Volume (CBV), can provide more spatially specific network information. These approaches are being developed alongside the commonly used BOLD-weighted acquisitions. Finally, specific applications of rs-fMRI to challenging regions such as the laminae in the neocortex, and the networks within the large areas of subcortical white matter regions are discussed. We finish the review with recommendations for acquisition strategies for a range of typical applications of resting state fMRI.
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Affiliation(s)
- Luisa Raimondo
- Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands; Experimental and Applied Psychology, VU University, Amsterdam, the Netherlands
| | - Ĺcaro A F Oliveira
- Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands; Experimental and Applied Psychology, VU University, Amsterdam, the Netherlands
| | - Jurjen Heij
- Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands; Experimental and Applied Psychology, VU University, Amsterdam, the Netherlands
| | | | - Prantik Kundu
- Hyperfine Research Inc, Guilford, CT, United States; Icahn School of Medicine at Mt. Sinai, New York, United States
| | - Renata Ferranti Leoni
- InBrain, Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, Brazil
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Germann J, Mameli M, Elias GJB, Loh A, Taha A, Gouveia FV, Boutet A, Lozano AM. Deep Brain Stimulation of the Habenula: Systematic Review of the Literature and Clinical Trial Registries. Front Psychiatry 2021; 12:730931. [PMID: 34484011 PMCID: PMC8415908 DOI: 10.3389/fpsyt.2021.730931] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022] Open
Abstract
The habenula is a small bilateral epithalamic structure that plays a key role in the regulation of the main monoaminergic systems. It is implicated in many aspects of behavior such as reward processing, motivational behavior, behavioral adaptation, and sensory integration. A role of the habenula has been indicated in the pathophysiology of a number of neuropsychiatric disorders such as depression, addiction, obsessive-compulsive disorder, and bipolar disorder. Neuromodulation of the habenula using deep brain stimulation (DBS) as potential treatment has been proposed and a first successful case of habenula DBS was reported a decade ago. To provide an overview of the current state of habenula DBS in human subjects for the treatment of neuropsychiatric disorders we conducted a systematic review of both the published literature using PUBMED and current and past registered clinical trials using ClinicalTrials.gov as well as the International Clinical Trials Registry Platform. Using PRISMA guidelines five articles and five registered clinical trials were identified. The published articles detailed the results of habenula DBS for the treatment of schizophrenia, depression, obsessive-compulsive disorder, and bipolar disorder. Four are single case studies; one reports findings in two patients and positive clinical outcome is described in five of the six patients. Of the five registered clinical trials identified, four investigate habenula DBS for the treatment of depression and one for obsessive-compulsive disorder. One trial is listed as terminated, one is recruiting, two are not yet recruiting and the status of the fifth is unknown. The planned enrollment varies between 2 to 13 subjects and four of the five are open label trials. While the published studies suggest a potential role of habenula DBS for a number of indications, future trials and studies are necessary. The outcomes of the ongoing clinical trials will provide further valuable insights. Establishing habenula DBS, however, will depend on successful randomized clinical trials to confirm application and clinical benefit of this promising intervention.
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Affiliation(s)
- Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Manuel Mameli
- The Department of Fundamental Neuroscience, The University of Lausanne, Lausanne, Switzerland
- INSERM, UMR-S 839, Paris, France
| | - Gavin J. B. Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Aaron Loh
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Alaa Taha
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Flavia Venetucci Gouveia
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Andres M. Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
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21
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Neural substrates of human fear generalization: A 7T-fMRI investigation. Neuroimage 2021; 239:118308. [PMID: 34175426 DOI: 10.1016/j.neuroimage.2021.118308] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 06/16/2021] [Accepted: 06/23/2021] [Indexed: 12/30/2022] Open
Abstract
Fear generalization - the tendency to interpret ambiguous stimuli as threatening due to perceptual similarity to a learned threat - is an adaptive process. Overgeneralization, however, is maladaptive and has been implicated in a number of anxiety disorders. Neuroimaging research has indicated several regions sensitive to effects of generalization, including regions involved in fear excitation (e.g., amygdala, insula) and inhibition (e.g., ventromedial prefrontal cortex). Research has suggested several other small brain regions may play an important role in this process (e.g., hippocampal subfields, bed nucleus of the stria terminalis [BNST], habenula), but, to date, these regions have not been examined during fear generalization due to limited spatial resolution of standard human neuroimaging. To this end, we utilized the high spatial resolution of 7T fMRI to characterize the neural circuits involved in threat discrimination and generalization. Additionally, we examined potential modulating effects of trait anxiety and intolerance of uncertainty on neural activation during threat generalization. In a sample of 31 healthy undergraduate students, significant positive generalization effects (i.e., greater activation for stimuli with increasing perceptual similarity to a learned threat cue) were observed in the visual cortex, thalamus, habenula and BNST, while negative generalization effects were observed in the dentate gyrus, CA1, and CA3. Associations with individual differences were underpowered, though preliminary findings suggested greater generalization in the insula and primary somatosensory cortex may be correlated with self-reported anxiety. Overall, findings largely support previous neuroimaging work on fear generalization and provide additional insight into the contributions of several previously unexplored brain regions.
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22
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Arfuso M, Salas R, Castellanos FX, Krain Roy A. Evidence of Altered Habenular Intrinsic Functional Connectivity in Pediatric ADHD. J Atten Disord 2021; 25:749-757. [PMID: 31014160 PMCID: PMC9295305 DOI: 10.1177/1087054719843177] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objective: The habenula is a small region in the epithalamus that contributes to the regulation of midbrain dopaminergic circuits implicated in attention-deficit hyperactivity disorder (ADHD). This investigation aims to evaluate the intrinsic functional connectivity (iFC) of the habenula in children with ADHD. Method: A total of 112 children (5-9 years; 75 ADHD, 37 healthy comparisons) completed anatomical and resting-state functional magnetic resonance imaging (MRI) scans. Habenula regions of interest (ROIs) were identified individually on normalized T1-weighted anatomical images. Seed-based iFC analyses and group comparisons were conducted for habenula ROIs, as well as thalamic ROIs to test the specificity of habenula findings. Results: Children with ADHD exhibited reduced habenula-putamen iFC compared with healthy comparisons. Group differences in thalamic iFC showed no overlap with habenular findings. Conclusion: These preliminary findings suggest that habenula-putamen iFC may be disrupted in children with ADHD. Further work is needed to confirm and elucidate the role of this circuit in ADHD pathophysiology.
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23
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Rivas-Grajales AM, Salas R, Robinson ME, Qi K, Murrough JW, Mathew SJ. Habenula Connectivity and Intravenous Ketamine in Treatment-Resistant Depression. Int J Neuropsychopharmacol 2020; 24:383-391. [PMID: 33249434 PMCID: PMC8130203 DOI: 10.1093/ijnp/pyaa089] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 10/25/2020] [Accepted: 11/27/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Ketamine's potent and rapid antidepressant properties have shown great promise to treat severe forms of major depressive disorder (MDD). A recently hypothesized antidepressant mechanism of action of ketamine is the inhibition of N-methyl-D-aspartate receptor-dependent bursting activity of the habenula (Hb), a small brain structure that modulates reward and affective states. METHODS Resting-state functional magnetic resonance imaging was conducted in 35 patients with MDD at baseline and 24 hours following treatment with i.v. ketamine. A seed-to-voxel functional connectivity (FC) analysis was performed with the Hb as a seed-of-interest. Pre-post changes in FC and the associations between changes in FC of the Hb and depressive symptom severity were examined. RESULTS A reduction in Montgomery-Åsberg Depression Rating Scale scores from baseline to 24 hours after ketamine infusion was associated with increased FC between the right Hb and a cluster in the right frontal pole (t = 4.65, P = .03, false discovery rate [FDR]-corrected). A reduction in Quick Inventory of Depressive Symptomatology-Self Report score following ketamine was associated with increased FC between the right Hb and clusters in the right occipital pole (t = 5.18, P < .0001, FDR-corrected), right temporal pole (t = 4.97, P < .0001, FDR-corrected), right parahippocampal gyrus (t = 5.80, P = .001, FDR-corrected), and left lateral occipital cortex (t = 4.73, P = .03, FDR-corrected). Given the small size of the Hb, it is possible that peri-habenular regions contributed to the results. CONCLUSIONS These preliminary results suggest that the Hb might be involved in ketamine's antidepressant action in patients with MDD, although these findings are limited by the lack of a control group.
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Affiliation(s)
- Ana Maria Rivas-Grajales
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- The Menninger Clinic, Houston, Texas, USA
| | - Meghan E Robinson
- Core for Advanced Magnetic Resonance Imaging and Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Karen Qi
- Department of Cognitive Neuroscience, Rice University, Houston, Texas, USA
| | - James W Murrough
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry; Department of Neuroscience; and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New Yorks, USA
| | - Sanjay J Mathew
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- Correspondence: Sanjay J. Mathew, MD, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, One Baylor Plaza MS: BCM350, Houston, TX 77030, USA ()
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Awasthi S, Pan H, LeDoux JE, Cloitre M, Altemus M, McEwen B, Silbersweig D, Stern E. The bed nucleus of the stria terminalis and functionally linked neurocircuitry modulate emotion processing and HPA axis dysfunction in posttraumatic stress disorder. NEUROIMAGE-CLINICAL 2020; 28:102442. [PMID: 33070099 PMCID: PMC7569227 DOI: 10.1016/j.nicl.2020.102442] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/22/2022]
Abstract
Task-based functional cooccurrence (tbFC) elucidates role of BNST in human PTSD neurocircuitry. The BNST is hyperactive during the processing of trauma-related words in PTSD. BNST activity correlates to PTSD symptom severity and reduced diurnal cortisol index. The BNST has positive tbFC with negative emotion- and stress-related neurocircuitry. The BNST has negative tbFC with executive function and stress regulation neurocircuitry.
Background The bed nucleus of the stria terminalis (BNST) plays an important role in rodent posttraumatic stress disorder (PTSD), but evidence to support its relevance to human PTSD is limited. We sought to understand the role of the BNST in human PTSD via fMRI, behavioral, and physiological measurements. Methods 29 patients with PTSD (childhood sexual abuse) and 23 healthy controls (HC) underwent BOLD imaging with an emotional word paradigm. Symptom severity was assessed using the Clinician-Administered PTSD Scale and HPA-axis dysfunction was assessed by measuring the diurnal cortisol amplitude index (DCAI). A data-driven multivariate analysis was used to determine BNST task-based functional co-occurrence (tbFC) across individuals. Results In the trauma-versus-neutral word contrast, patients showed increased activation compared to HC in the BNST, medial prefrontal cortex (mPFC), posterior cingulate gyrus (PCG), caudate heads, and midbrain, and decreased activation in dorsolateral prefrontal cortex (DLPFC). Symptom severity positively correlated with activity in the BNST, caudate head, amygdala, hippocampus, dorsal anterior cingulate gyrus (dACG), and PCG, and negatively with activity in the medial orbiotofrontal cortex (mOFC) and DLPFC. Patients and HC showed marked differences in the relationship between the DCAI and BOLD activity in the BNST, septal nuclei, dACG, and PCG. Patients showed stronger tbFC between the BNST and closely linked limbic and subcortical regions, and a loss of negative tbFC between the BNST and DLPFC. Conclusions Based upon novel data, we present a new model of dysexecutive emotion processing and HPA-axis dysfunction in human PTSD that incorporates the role of the BNST and functionally linked neurocircuitry.
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Affiliation(s)
- Samir Awasthi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Hong Pan
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph E LeDoux
- Center for Neural Science, New York University, New York, NY, USA
| | - Marylene Cloitre
- National Center for PTSD, Veteran Affairs Palo Alto Health Care System, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Margaret Altemus
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - David Silbersweig
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Emily Stern
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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25
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Vitkauskas M, Mathuru AS. Total Recall: Lateral Habenula and Psychedelics in the Study of Depression and Comorbid Brain Disorders. Int J Mol Sci 2020; 21:ijms21186525. [PMID: 32906643 PMCID: PMC7555763 DOI: 10.3390/ijms21186525] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/24/2020] [Accepted: 09/04/2020] [Indexed: 12/12/2022] Open
Abstract
Depression impacts the lives and daily activities of millions globally. Research into the neurobiology of lateral habenula circuitry and the use of psychedelics for treating depressive states has emerged in the last decade as new directions to devise interventional strategies and therapies. Several clinical trials using deep brain stimulation of the habenula, or using ketamine, and psychedelics that target the serotonergic system such as psilocybin are also underway. The promising early results in these fields require cautious optimism as further evidence from experiments conducted in animal systems in ecologically relevant settings, and a larger number of human studies with improved spatiotemporal neuroimaging, accumulates. Designing optimal methods of intervention will also be aided by an improvement in our understanding of the common genetic and molecular factors underlying disorders comorbid with depression, as well as the characterization of psychedelic-induced changes at a molecular level. Advances in the use of cerebral organoids offers a new approach for rapid progress towards these goals. Here, we review developments in these fast-moving areas of research and discuss potential future directions.
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Affiliation(s)
| | - Ajay S. Mathuru
- Yale-NUS College, Singapore 637551, Singapore;
- Institute of Molecular and Cell Biology (IMCB), Singapore 637551, Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, NUS, Singapore 637551, Singapore
- Correspondence:
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26
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Oh H, Lee J, Gosnell SN, Patriquin M, Kosten T, Salas R. Orbitofrontal, dorsal striatum, and habenula functional connectivity in psychiatric patients with substance use problems. Addict Behav 2020; 108:106457. [PMID: 32371303 DOI: 10.1016/j.addbeh.2020.106457] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/20/2020] [Accepted: 04/25/2020] [Indexed: 02/07/2023]
Abstract
Substance abuse is commonly defined as the persistence of drug use despite negative consequences. Recent preclinical work has shown that higher input from the orbitofrontal cortex (OFC) to the dorsal striatum was associated with compulsive reward-seeking behavior despite negative effects. It remains unknown whether drug use is associated with the connectivity between the OFC and dorsal striatum in humans. We studied the resting state functional connectivity (RSFC) between the OFC, dorsal striatum, and habenula (and the whole brain in a separate analysis) in psychiatric inpatients with high (PU, problem users) and low (LU, low users) substance use. We matched PU and LU for psychiatric comorbidities. We found that PU showed higher RSFC between the left OFC and the left dorsal striatum than LU. RSFC between the habenula and both OFC and dorsal striatum was also higher in PU, which suggests the habenula may be a part of the same circuit. Finally, higher RSFC between the OFC and insula was also observed in PU. Our data shows that OFC, habenula, dorsal striatum, and insula may play an important role in PU. Furthermore, we postulate that the habenula may link the mesolimbic and cortico-striatal systems, which are altered in PU.
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Affiliation(s)
- Hyuntaek Oh
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; The Menninger Clinic, Houston, TX, USA
| | - Jaehoon Lee
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Educational Psychology and Leadership, College of Education, Texas Tech University, Lubbock, TX, USA
| | - Savannah N Gosnell
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Michael E DeBakey VA Medical Center, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Michelle Patriquin
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; The Menninger Clinic, Houston, TX, USA
| | - Thomas Kosten
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Michael E DeBakey VA Medical Center, Houston, TX, USA
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; The Menninger Clinic, Houston, TX, USA; Michael E DeBakey VA Medical Center, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
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27
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Influence of Two Single-Nucleotide Polymorphisms of the Oxytocin Receptor Gene (OXTR) on Empathy: the Mediation Role of a Primary Emotion, CARE. J Mol Neurosci 2020; 71:252-261. [PMID: 32607757 DOI: 10.1007/s12031-020-01644-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 06/19/2020] [Indexed: 10/24/2022]
Abstract
To feel other's pain would elicit empathy. Some theorists hypothesized that observing other's pain may activate the primary emotion of maternal care instinct, which may function as a precursor of empathy. The maternal care instinct and empathy share the same genetic background and neuroendocrine underpinnings. An extensive body of research has shown that maternal behaviors relate to the oxytocinergic system, which has a strong influence on empathy. These studies suggest that the maternal care instinct may mediate the effect of oxytocin receptor gene (OXTR) on empathy. To provide evidence for this mediation, we used the subscale of CARE in Affective Neuroscience Personality Scales (ANPS) to measure the maternal care instinct and tested two OXTR single-nucleotide polymorphisms (SNPs), rs53576 and rs13316193, in 880 high school participants (588 females, 292 males; Mage = 16.51 years old, SD = 0.65). Results showed that the genotype of rs13316193 was indirectly associated with empathy via CARE, suggesting a mediating role of CARE in the pathway from OXTR to empathy. These findings may contribute to an understanding of how empathy emerges when one witnesses another person in pain.
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28
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Leong SL, Glue P, Manning P, Vanneste S, Lim LJ, Mohan A, De Ridder D. Anterior Cingulate Cortex Implants for Alcohol Addiction: A Feasibility Study. Neurotherapeutics 2020; 17:1287-1299. [PMID: 32323203 PMCID: PMC7641294 DOI: 10.1007/s13311-020-00851-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Abnormal neural activity, particularly in the rostrodorsal anterior cingulate cortex (rdACC), appears to be responsible for intense alcohol craving. Neuromodulation of the rdACC using cortical implants may be an option for individuals with treatment-resistant alcohol dependence. This study assessed the effectiveness and feasibility of suppressing alcohol craving using cortical implants of the rdACC using a controlled one-group pre- and post-test study design. Eight intractable alcohol-dependent participants (four males and four females) were implanted with two Lamitrode 44 electrodes over the rdACC bilaterally connected to an internal pulse generator (IPG). The primary endpoint, self-reported alcohol craving reduced by 60.7% (p = 0.004) post- compared to pre-stimulation. Adverse events occurred in four out of the eight participants. Electrophysiology findings showed that among responders, there was a post-stimulation decrease (p = 0.026) in current density at the rdACC for beta 1 band (13-18 Hz). Results suggest that rdACC stimulation using implanted electrodes may potentially be a feasible method for supressing alcohol craving in individuals with severe alcohol use disorder. However, to further establish safety and efficacy, larger controlled clinical trials are needed.
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Affiliation(s)
- Sook Ling Leong
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
| | - Paul Glue
- Department of Psychological Medicine, University of Otago, Dunedin, New Zealand
| | - Patrick Manning
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Sven Vanneste
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Lab for Clinical and Integrative Neuroscience, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Louisa Joyce Lim
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand
| | - Anusha Mohan
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Dirk De Ridder
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
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Mao CP, Chen FR, Huo JH, Zhang L, Zhang GR, Zhang B, Zhou XQ. Altered resting-state functional connectivity and effective connectivity of the habenula in irritable bowel syndrome: A cross-sectional and machine learning study. Hum Brain Mapp 2020; 41:3655-3666. [PMID: 32488929 PMCID: PMC7416021 DOI: 10.1002/hbm.25038] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 04/04/2020] [Accepted: 05/08/2020] [Indexed: 12/20/2022] Open
Abstract
Irritable bowel syndrome (IBS) is a disorder involving dysfunctional brain–gut interactions characterized by chronic recurrent abdominal pain, altered bowel habits, and negative emotion. Previous studies have linked the habenula to the pathophysiology of negative emotion and pain. However, no studies to date have investigated habenular function in IBS patients. In this study, we investigated the resting‐state functional connectivity (rsFC) and effective connectivity of the habenula in 34 subjects with IBS and 34 healthy controls and assessed the feasibility of differentiating IBS patients from healthy controls using a machine learning method. Our results showed significantly enhanced rsFC of the habenula‐left dorsolateral prefrontal cortex (dlPFC) and habenula‐periaqueductal grey (PAG, dorsomedial part), as well as decreased rsFC of the habenula‐right thalamus (dorsolateral part), in the IBS patients compared with the healthy controls. Habenula‐thalamus rsFC was positively correlated with pain intensity (r = .467, p = .005). Dynamic causal modeling (DCM) revealed significantly decreased effective connectivity from the right habenula to the right thalamus in the IBS patients compared to the healthy controls that was negatively correlated with disease duration (r = −.407, p = .017). In addition, IBS was classified with an accuracy of 71.5% based on the rsFC of the habenula‐dlPFC, habenula‐thalamus, and habenula‐PAG in a support vector machine (SVM), which was further validated in an independent cohort of subjects (N = 44, accuracy = 65.2%, p = .026). Taken together, these findings establish altered habenular rsFC and effective connectivity in IBS, which extends our mechanistic understanding of the habenula's role in IBS.
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Affiliation(s)
- Cui P Mao
- Department of Medical Imaging, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Fen R Chen
- Department of Gastroenterology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jiao H Huo
- School of Computer Science and Engineering, Xidian University, Xi'an, Shaanxi, China
| | - Liang Zhang
- School of Computer Science and Engineering, Xidian University, Xi'an, Shaanxi, China
| | - Gui R Zhang
- Department of Medical Imaging, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Bing Zhang
- Department of Medical Imaging, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xiao Q Zhou
- Department of Medical Imaging, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
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Yoshino A, Okamoto Y, Sumiya Y, Okada G, Takamura M, Ichikawa N, Nakano T, Shibasaki C, Aizawa H, Yamawaki Y, Kawakami K, Yokoyama S, Yoshimoto J, Yamawaki S. Importance of the Habenula for Avoidance Learning Including Contextual Cues in the Human Brain: A Preliminary fMRI Study. Front Hum Neurosci 2020; 14:165. [PMID: 32477084 PMCID: PMC7235292 DOI: 10.3389/fnhum.2020.00165] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/17/2020] [Indexed: 11/18/2022] Open
Abstract
Human habenula studies are gradually advancing, primarily through the use of functional magnetic resonance imaging (fMRI) analysis of passive (Pavlovian) conditioning tasks as well as probabilistic reinforcement learning tasks. However, no studies have particularly targeted aversive prediction errors, despite the essential importance for the habenula in the field. Complicated learned strategies including contextual contents are involved in making aversive prediction errors during the learning process. Therefore, we examined habenula activation during a contextual learning task. We performed fMRI on a group of 19 healthy controls. We assessed the manually traced habenula during negative outcomes during the contextual learning task. The Beck Depression Inventory-Second Edition (BDI-II), the State-Trait-Anxiety Inventory (STAI), and the Temperament and Character Inventory (TCI) were also administered. The left and right habenula were activated during aversive outcomes and the activation was associated with aversive prediction errors. There was also a positive correlation between TCI reward dependence scores and habenula activation. Furthermore, dynamic causal modeling (DCM) analyses demonstrated the left and right habenula to the left and right hippocampus connections during the presentation of contextual stimuli. These findings serve to highlight the neural mechanisms that may be relevant to understanding the broader relationship between the habenula and learning processes.
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Affiliation(s)
- Atsuo Yoshino
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Yuki Sumiya
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Naho Ichikawa
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Takashi Nakano
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan
| | - Chiyo Shibasaki
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Hidenori Aizawa
- Department of Neurobiology, Hiroshima University, Hiroshima, Japan
| | - Yosuke Yamawaki
- Department of Cellular and Molecular Pharmacology, Hiroshima University, Hiroshima, Japan
| | - Kyoko Kawakami
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Satoshi Yokoyama
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Junichiro Yoshimoto
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan
| | - Shigeto Yamawaki
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan.,Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
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31
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Roman E, Weininger J, Lim B, Roman M, Barry D, Tierney P, O'Hanlon E, Levins K, O'Keane V, Roddy D. Untangling the dorsal diencephalic conduction system: a review of structure and function of the stria medullaris, habenula and fasciculus retroflexus. Brain Struct Funct 2020; 225:1437-1458. [PMID: 32367265 DOI: 10.1007/s00429-020-02069-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 04/11/2020] [Indexed: 12/23/2022]
Abstract
The often-overlooked dorsal diencephalic conduction system (DDCS) is a highly conserved pathway linking the basal forebrain and the monoaminergic brainstem. It consists of three key structures; the stria medullaris, the habenula and the fasciculus retroflexus. The first component of the DDCS, the stria medullaris, is a discrete bilateral tract composed of fibers from the basal forebrain that terminate in the triangular eminence of the stalk of the pineal gland, known as the habenula. The habenula acts as a relay hub where incoming signals from the stria medullaris are processed and subsequently relayed to the midbrain and hindbrain monoaminergic nuclei through the fasciculus retroflexus. As a result of its wide-ranging connections, the DDCS has recently been implicated in a wide range of behaviors related to reward processing, aversion and motivation. As such, an understanding of the structure and connections of the DDCS may help illuminate the pathophysiology of neuropsychiatric disorders such as depression, addiction and pain. This is the first review of all three components of the DDCS, the stria medullaris, the habenula and the fasciculus retroflexus, with particular focus on their anatomy, function and development.
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Affiliation(s)
- Elena Roman
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.,Department of Psychiatry, Education and Research Centre , Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin 9, Ireland
| | - Joshua Weininger
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Basil Lim
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.,Department of Game Design, Technological University Dublin, Dublin 2, Ireland
| | - Marin Roman
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Denis Barry
- Anatomy Department, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Paul Tierney
- Anatomy Department, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Erik O'Hanlon
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.,Department of Psychiatry, Education and Research Centre , Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin 9, Ireland
| | - Kirk Levins
- Department of Anaesthetics, Intensive Care and Pain Medicine, St. Vincent's University Hospital, Dublin 4, Ireland
| | - Veronica O'Keane
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Darren Roddy
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.
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32
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Wu Z, Wang C, Ma Z, Pang M, Wu Y, Zhang N, Zhong Y. Abnormal functional connectivity of habenula in untreated patients with first-episode major depressive disorder. Psychiatry Res 2020; 285:112837. [PMID: 32044600 DOI: 10.1016/j.psychres.2020.112837] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 01/29/2020] [Accepted: 01/29/2020] [Indexed: 11/18/2022]
Abstract
Major depressive disorder (MDD) is associated with abnormalities in emotional/cognitive processing and low reward sensitivity. The habenula has a pivotal role in these processes that may contribute to depression. However, there has been little research on the abnormal connectivity between the habenula and whole brain of first-onset MDD. We aimed to explore the differences of functional connectivity between patients and healthy controls using functional magnetic resonance imaging. We used seed-based resting-state fMRI to examine functional connectivity between the habenula and whole-brain in 49 first-episode depressive patients and 25 healthy controls. Compared to controls, patients with MDD demonstrated significant increases in functional connectivity between the habenula and the dorsolateral prefrontal cortex (dlPFC). Furthermore, the receiver operating characteristic (ROC) curve proved that connectivity between the habenula and dlPFC was highly predictive. Additionally, there was a positive correlation between Hamilton Rating Scale for Depression (HAMD) score and functional connectivity between the habenula and right dlPFC. We found that the aberrant functional connectivity to the habenula and dlPFC can distinguish MDD patients from the normal.
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Affiliation(s)
- Zhou Wu
- School of Psychology, Nanjing Normal University, Nanjing 210097, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing 210097, China
| | - Chun Wang
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing 210029, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing 210029, China
| | - Zijuan Ma
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China
| | - Manlong Pang
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China
| | - Yun Wu
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China
| | - Ning Zhang
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing 210029, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing 210029, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing 210097, China.
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He N, Sethi SK, Zhang C, Li Y, Chen Y, Sun B, Yan F, Haacke EM. Visualizing the lateral habenula using susceptibility weighted imaging and quantitative susceptibility mapping. Magn Reson Imaging 2019; 65:55-61. [PMID: 31655137 DOI: 10.1016/j.mri.2019.09.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 09/03/2019] [Accepted: 09/15/2019] [Indexed: 12/22/2022]
Abstract
The habenulae consist of a pair of small nuclei which bridge the limbic forebrain and midbrain monoaminergic centers. They are implicated in major depressive disorders due to abnormal phasic response when provoked by a conditioned stimulus. The lateral habenula (Lhb) is believed to be involved in dopamine metabolism and is now a target for deep brain stimulation, a treatment which has shown promising anti-depression effects. We imaged the habenulae with susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM) in order to localize the lateral habenula. Fifty-six healthy controls were recruited for this study. For the quantitative assessment, we traced the structure to compute volume from magnitude images and mean susceptibility bilaterally for the habenula on QSM. Thresholding methods were used to delineate the Lhb habenula on QSM. SWI, true SWI (tSWI), and QSM data were subjectively reviewed for increased Lhb contrast. SWI, QSM, and tSWI showed bilateral signal changes in the posterior location of the habenulae relative to the anterior location, which may indicate increased putative iron content within the Lhb. This signal behavior was shown in 41/44 (93%) subjects. In summary, it is possible to localize the lateral component of the habenula using SWI and QSM at 3 T.
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Affiliation(s)
- Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sean K Sethi
- Magnetic Resonance Innovations, Inc., Bingham Farms, MI, USA; The MRI Institute for Biomedical Research, Bingham Farms, MI, USA; Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Chencheng Zhang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Bomin Sun
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - E Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Magnetic Resonance Innovations, Inc., Bingham Farms, MI, USA; The MRI Institute for Biomedical Research, Bingham Farms, MI, USA; Department of Radiology, Wayne State University, Detroit, MI, USA
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34
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Flannery JS, Riedel MC, Poudel R, Laird AR, Ross TJ, Salmeron BJ, Stein EA, Sutherland MT. Habenular and striatal activity during performance feedback are differentially linked with state-like and trait-like aspects of tobacco use disorder. SCIENCE ADVANCES 2019; 5:eaax2084. [PMID: 31633021 PMCID: PMC6785263 DOI: 10.1126/sciadv.aax2084] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 09/14/2019] [Indexed: 05/15/2023]
Abstract
The habenula, an epithalamic nucleus involved in reward and aversive processing, may contribute to negative reinforcement mechanisms maintaining nicotine use. We used a performance feedback task that differentially activates the striatum and habenula and administered nicotine and varenicline (versus placebos) to overnight-abstinent smokers and nonsmokers to delineate feedback-related functional brain alterations both as a function of smoking trait (smokers versus nonsmokers) and drug administration state (drug versus placebo). Smokers showed less striatal responsivity to positive feedback, an alteration not mitigated by drug administration, but rather correlated with trait-level addiction severity. Conversely, nicotine administration reduced habenula activity following both positive and negative feedback among abstinent smokers, but not nonsmokers, and increased habenula activity among smokers correlated with elevated state-level tobacco cravings. These outcomes highlight a dissociation between neurobiological processes linked with the dependence severity trait and the nicotine withdrawal state. Interventions simultaneously targeting both aspects may improve currently poor cessation outcomes.
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Affiliation(s)
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Thomas J. Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Betty Jo Salmeron
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Elliot A. Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, USA
- Corresponding author.
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35
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Ely BA, Stern ER, Kim JW, Gabbay V, Xu J. Detailed mapping of human habenula resting-state functional connectivity. Neuroimage 2019; 200:621-634. [PMID: 31252057 PMCID: PMC7089853 DOI: 10.1016/j.neuroimage.2019.06.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 05/15/2019] [Accepted: 06/04/2019] [Indexed: 10/26/2022] Open
Abstract
The habenula (Hb) inhibits dopaminergic reward signaling in response to negative outcomes and has been linked to numerous functional domains relevant to mental health, including reward prediction, motivation, and aversion processing. Despite its important neuroscientific and clinical implications, however, the human Hb remains poorly understood due to its small size and the associated technical hurdles to in vivo functional magnetic resonance imaging (fMRI) investigation. Using high-resolution 3 T fMRI data from 68 healthy young adults acquired through the Human Connectome Project, we developed a rigorous approach for mapping the whole-brain resting-state functional connectivity of the human Hb. Our study combined an optimized strategy for defining subject-level connectivity seeds to maximize Hb blood-oxygen-level-dependent (BOLD) signal sensitivity with high-quality surface-based alignment for robust functional localization and cortical sensitivity. We identified significant positive Hb connectivity with: (i) conserved brainstem targets, including the dopaminergic ventral tegmental area, serotonergic raphe nuclei, and periaqueductal gray; (ii) subcortical structures related to reward and motor function, including the nucleus accumbens, dorsal striatum, pallidum, thalamus, and cerebellum; and (iii) cortical areas associated with the Salience Network and early sensory processing, including the dorsal anterior cingulate, anterior insula, and primary visual and auditory cortices. Hb connectivity was strongly biased towards task-positive brain regions, with weak or negative connectivity observed throughout the task-negative Default Mode Network. Our study provides a detailed characterization of Hb resting-state functional connectivity in healthy young adults, demonstrating both the feasibility and clinical potential of studying the human Hb using high-resolution 3 T fMRI.
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Affiliation(s)
- Benjamin A Ely
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Emily R Stern
- Department of Psychiatry, New York University Langone School of Medicine, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Joo-Won Kim
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vilma Gabbay
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Junqian Xu
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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36
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Ma Z, Zhong Y, Hines CS, Wu Y, Li Y, Pang M, Li J, Wang C, Fox PT, Zhang N, Wang C. Identifying generalized anxiety disorder using resting state habenular circuitry. Brain Imaging Behav 2019; 14:1406-1418. [DOI: 10.1007/s11682-019-00055-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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37
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Huang L, Xi Y, Peng Y, Yang Y, Huang X, Fu Y, Tao Q, Xiao J, Yuan T, An K, Zhao H, Pu M, Xu F, Xue T, Luo M, So KF, Ren C. A Visual Circuit Related to Habenula Underlies the Antidepressive Effects of Light Therapy. Neuron 2019; 102:128-142.e8. [PMID: 30795900 DOI: 10.1016/j.neuron.2019.01.037] [Citation(s) in RCA: 154] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 12/18/2018] [Accepted: 01/17/2019] [Indexed: 12/11/2022]
Abstract
Light plays a pivotal role in the regulation of affective behaviors. However, the precise circuits that mediate the impact of light on depressive-like behaviors are not well understood. Here, we show that light influences depressive-like behaviors through a disynaptic circuit linking the retina and the lateral habenula (LHb). Specifically, M4-type melanopsin-expressing retinal ganglion cells (RGCs) innervate GABA neurons in the thalamic ventral lateral geniculate nucleus and intergeniculate leaflet (vLGN/IGL), which in turn inhibit CaMKIIα neurons in the LHb. Specific activation of vLGN/IGL-projecting RGCs, activation of LHb-projecting vLGN/IGL neurons, or inhibition of postsynaptic LHb neurons is sufficient to decrease the depressive-like behaviors evoked by long-term exposure to aversive stimuli or chronic social defeat stress. Furthermore, we demonstrate that the antidepressive effects of light therapy require activation of the retina-vLGN/IGL-LHb pathway. These results reveal a dedicated retina-vLGN/IGL-LHb circuit that regulates depressive-like behaviors and provide a potential mechanistic explanation for light treatment of depression.
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Affiliation(s)
- Lu Huang
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China; Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Yue Xi
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Yanfang Peng
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Yan Yang
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Xiaodan Huang
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Yunwei Fu
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China
| | - Qian Tao
- Psychology Department, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jia Xiao
- Clinical Medicine Research Institute, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Tifei Yuan
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Kai An
- Hefei National Laboratory for Physical Sciences at the Microscale, Neurodegenerative Disorder Research Center, Chinese Academy of Sciences Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Huan Zhao
- Hefei National Laboratory for Physical Sciences at the Microscale, Neurodegenerative Disorder Research Center, Chinese Academy of Sciences Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Mingliang Pu
- Department of Anatomy, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Fuqiang Xu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Center for Excellence in Brain Science and Intelligent Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Tian Xue
- Hefei National Laboratory for Physical Sciences at the Microscale, Neurodegenerative Disorder Research Center, Chinese Academy of Sciences Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Minmin Luo
- National Institute of Biological Sciences, Zhongguancun Life Science Park 7 Science Park Road, Beijing 102206, China
| | - Kwok-Fai So
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510530, China; Department of Ophthalmology and State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China
| | - Chaoran Ren
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510530, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China.
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Morris LS, Kundu P, Costi S, Collins A, Schneider M, Verma G, Balchandani P, Murrough JW. Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla. Transl Psychiatry 2019; 9:94. [PMID: 30770788 PMCID: PMC6377652 DOI: 10.1038/s41398-019-0425-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 01/10/2019] [Indexed: 12/30/2022] Open
Abstract
Ultra-high field 7-Tesla (7 T) MRI has the potential to advance our understanding of neuropsychiatric disorders, including major depressive disorder (MDD). To date, few studies have quantified the advantage of resting state functional MRI (fMRI) at 7 T compared to 3-Tesla (3 T). We conducted a series of experiments that demonstrate the improvement in temporal signal-to-noise ratio (TSNR) of a multi-echo multi-band fMRI protocol with ultra-high field 7 T MRI, compared to a similar protocol using 3 T MRI in healthy controls (HC). We also directly tested the enhancement in ultra-high field 7 T fMRI signal power by examining the ventral tegmental area (VTA), a small midbrain structure that is critical to the expected neuropathology of MDD but difficult to discern with standard 3 T MRI. We demonstrate up to 300% improvement in TSNR and resting state functional connectivity coefficients provided by ultra-high field 7 T fMRI compared to 3 T, indicating enhanced power for detection of functional neural architecture. A multi-echo based acquisition protocol and signal denoising pipeline afforded greater gain in signal power compared to classic acquisition and denoising pipelines. Furthermore, ultra-high field fMRI revealed mood-related neurocircuit disturbances in patients with MDD compared to HC, which were not detectable with 3 T fMRI. Ultra-high field 7 T fMRI may provide an effective tool for studying functional neural architecture relevant to MDD and other neuropsychiatric disorders.
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Affiliation(s)
- Laurel S. Morris
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Prantik Kundu
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Sara Costi
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Abigail Collins
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Molly Schneider
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Gaurav Verma
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Priti Balchandani
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - James W. Murrough
- 0000 0001 0670 2351grid.59734.3cThe Mood and Anxiety Disorders Program, Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cThe Translational and Molecular Imaging Institute, Department of Radiology, The Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
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Skandalakis GP, Koutsarnakis C, Kalyvas AV, Skandalakis P, Johnson EO, Stranjalis G. The habenula in neurosurgery for depression: A convergence of functional neuroanatomy, psychiatry and imaging. Brain Res 2018; 1694:13-18. [PMID: 29738717 DOI: 10.1016/j.brainres.2018.04.041] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 04/28/2018] [Accepted: 04/30/2018] [Indexed: 01/08/2023]
Affiliation(s)
- Georgios P Skandalakis
- Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens Medical School, Greece; Department of Neurosurgery, Evangelismos General Hospital, National and Kapodistrian University of Athens Medical School, Greece; Department of Anatomy and Surgical Anatomy, National and Kapodistrian University of Athens Medical School, Greece; Laboratory for Education and Research in Neurosciences (LERNs), National and Kapodistrian University of Athens Medical School, Greece.
| | - Christos Koutsarnakis
- Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens Medical School, Greece; Department of Neurosurgery, Evangelismos General Hospital, National and Kapodistrian University of Athens Medical School, Greece; Department of Anatomy and Surgical Anatomy, National and Kapodistrian University of Athens Medical School, Greece
| | - Aristotelis V Kalyvas
- Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens Medical School, Greece; Department of Neurosurgery, Evangelismos General Hospital, National and Kapodistrian University of Athens Medical School, Greece; Department of Anatomy and Surgical Anatomy, National and Kapodistrian University of Athens Medical School, Greece
| | - Panagiotis Skandalakis
- Department of Anatomy and Surgical Anatomy, National and Kapodistrian University of Athens Medical School, Greece; Laboratory for Education and Research in Neurosciences (LERNs), National and Kapodistrian University of Athens Medical School, Greece
| | - Elizabeth O Johnson
- Department of Anatomy and Surgical Anatomy, National and Kapodistrian University of Athens Medical School, Greece; Laboratory for Education and Research in Neurosciences (LERNs), National and Kapodistrian University of Athens Medical School, Greece
| | - George Stranjalis
- Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens Medical School, Greece; Department of Neurosurgery, Evangelismos General Hospital, National and Kapodistrian University of Athens Medical School, Greece
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40
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Jesuthasan S. The thalamo-habenula projection revisited. Semin Cell Dev Biol 2018; 78:116-119. [DOI: 10.1016/j.semcdb.2017.08.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 08/07/2017] [Accepted: 08/07/2017] [Indexed: 11/29/2022]
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41
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Torrisi S, Chen G, Glen D, Bandettini PA, Baker CI, Reynolds R, Yen-Ting Liu J, Leshin J, Balderston N, Grillon C, Ernst M. Statistical power comparisons at 3T and 7T with a GO / NOGO task. Neuroimage 2018; 175:100-110. [PMID: 29621615 DOI: 10.1016/j.neuroimage.2018.03.071] [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: 12/30/2017] [Revised: 03/13/2018] [Accepted: 03/29/2018] [Indexed: 10/17/2022] Open
Abstract
The field of cognitive neuroscience is weighing evidence about whether to move from standard field strength to ultra-high field (UHF). The present study contributes to the evidence by comparing a cognitive neuroscience paradigm at 3 Tesla (3T) and 7 Tesla (7T). The goal was to test and demonstrate the practical effects of field strength on a standard GO/NOGO task using accessible preprocessing and analysis tools. Two independent matched healthy samples (N = 31 each) were analyzed at 3T and 7T. Results show gains at 7T in statistical strength, the detection of smaller effects and group-level power. With an increased availability of UHF scanners, these gains may be exploited by cognitive neuroscientists and other neuroimaging researchers to develop more efficient or comprehensive experimental designs and, given the same sample size, achieve greater statistical power at 7T.
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Affiliation(s)
- Salvatore Torrisi
- Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda MD, United States.
| | - Gang Chen
- Scientific and Statistical Computing Core, NIMH, Bethesda MD, United States
| | - Daniel Glen
- Scientific and Statistical Computing Core, NIMH, Bethesda MD, United States
| | | | - Chris I Baker
- Section on Learning and Plasticity, NIMH, Bethesda MD, United States
| | - Richard Reynolds
- Scientific and Statistical Computing Core, NIMH, Bethesda MD, United States
| | | | - Joseph Leshin
- Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda MD, United States
| | - Nicholas Balderston
- Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda MD, United States
| | - Christian Grillon
- Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda MD, United States
| | - Monique Ernst
- Section on Neurobiology of Fear and Anxiety, NIMH, Bethesda MD, United States
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42
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Clemm von Hohenberg C, Weber-Fahr W, Lebhardt P, Ravi N, Braun U, Gass N, Becker R, Sack M, Cosa Linan A, Gerchen MF, Reinwald JR, Oettl LL, Meyer-Lindenberg A, Vollmayr B, Kelsch W, Sartorius A. Lateral habenula perturbation reduces default-mode network connectivity in a rat model of depression. Transl Psychiatry 2018; 8:68. [PMID: 29581421 PMCID: PMC5913319 DOI: 10.1038/s41398-018-0121-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2017] [Revised: 11/05/2017] [Accepted: 12/30/2017] [Indexed: 01/01/2023] Open
Abstract
Hyperconnectivity of the default-mode network (DMN) is one of the most widely replicated neuroimaging findings in major depressive disorder (MDD). Further, there is growing evidence for a central role of the lateral habenula (LHb) in the pathophysiology of MDD. There is preliminary neuroimaging evidence linking LHb and the DMN, but no causal relationship has been shown to date. We combined optogenetics and functional magnetic resonance imaging (fMRI), to establish a causal relationship, using an animal model of treatment-resistant depression, namely Negative Cognitive State rats. First, an inhibitory light-sensitive ion channel was introduced into the LHb by viral transduction. Subsequently, laser stimulation was performed during fMRI acquisition on a 9.4 Tesla animal scanner. Neural activity and connectivity were assessed, before, during and after laser stimulation. We observed a connectivity decrease in the DMN following laser-induced LHb perturbation. Our data indicate a causal link between LHb downregulation and reduction in DMN connectivity. These findings may advance our mechanistic understanding of LHb inhibition, which had previously been identified as a promising therapeutic principle, especially for treatment-resistant depression.
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Affiliation(s)
- Christian Clemm von Hohenberg
- RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany. .,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
| | - Wolfgang Weber-Fahr
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Philipp Lebhardt
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Namasivayam Ravi
- 0000 0001 2190 4373grid.7700.0RG Developmental Biology of Psychiatric Disorders, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Urs Braun
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,0000 0001 2190 4373grid.7700.0RG Systems Neuroscience in Psychiatry, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Natalia Gass
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Robert Becker
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Markus Sack
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alejandro Cosa Linan
- 0000 0001 2190 4373grid.7700.0Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Martin Fungisai Gerchen
- 0000 0001 2190 4373grid.7700.0Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Jonathan Rochus Reinwald
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lars-Lennart Oettl
- 0000 0001 2190 4373grid.7700.0RG Developmental Biology of Psychiatric Disorders, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Andreas Meyer-Lindenberg
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Barbara Vollmayr
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,0000 0001 2190 4373grid.7700.0RG Animal Models in Psychiatry, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Wolfgang Kelsch
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,0000 0001 2190 4373grid.7700.0RG Developmental Biology of Psychiatric Disorders, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alexander Sartorius
- 0000 0001 2190 4373grid.7700.0RG Translational Imaging, Department of Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Kim JW, Naidich TP, Joseph J, Nair D, Glasser MF, O'halloran R, Doucet GE, Lee WH, Krinsky H, Paulino A, Glahn DC, Anticevic A, Frangou S, Xu J. Reproducibility of myelin content-based human habenula segmentation at 3 Tesla. Hum Brain Mapp 2018; 39:3058-3071. [PMID: 29582505 DOI: 10.1002/hbm.24060] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 03/16/2018] [Accepted: 03/16/2018] [Indexed: 02/06/2023] Open
Abstract
In vivo morphological study of the human habenula, a pair of small epithalamic nuclei adjacent to the dorsomedial thalamus, has recently gained significant interest for its role in reward and aversion processing. However, segmenting the habenula from in vivo magnetic resonance imaging (MRI) is challenging due to the habenula's small size and low anatomical contrast. Although manual and semi-automated habenula segmentation methods have been reported, the test-retest reproducibility of the segmented habenula volume and the consistency of the boundaries of habenula segmentation have not been investigated. In this study, we evaluated the intra- and inter-site reproducibility of in vivo human habenula segmentation from 3T MRI (0.7-0.8 mm isotropic resolution) using our previously proposed semi-automated myelin contrast-based method and its fully-automated version, as well as a previously published manual geometry-based method. The habenula segmentation using our semi-automated method showed consistent boundary definition (high Dice coefficient, low mean distance, and moderate Hausdorff distance) and reproducible volume measurement (low coefficient of variation). Furthermore, the habenula boundary in our semi-automated segmentation from 3T MRI agreed well with that in the manual segmentation from 7T MRI (0.5 mm isotropic resolution) of the same subjects. Overall, our proposed semi-automated habenula segmentation showed reliable and reproducible habenula localization, while its fully-automated version offers an efficient way for large sample analysis.
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Affiliation(s)
- Joo-Won Kim
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Thomas P Naidich
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joshmi Joseph
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Divya Nair
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Matthew F Glasser
- Department of Neuroscience, Washington University School of Medicine, Saint Louis, Missouri.,St. Luke's Hospital, Saint Louis, Missouri
| | - Rafael O'halloran
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Gaelle E Doucet
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Won Hee Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Hannah Krinsky
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alejandro Paulino
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.,Department of Psychology, Yale University School of Medicine, New Haven, Connecticut.,Olin Neuropsychiatric Research Center, Institute of Living, Hartford, Connecticut
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Junqian Xu
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
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44
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Schafer M, Kim JW, Joseph J, Xu J, Frangou S, Doucet GE. Imaging Habenula Volume in Schizophrenia and Bipolar Disorder. Front Psychiatry 2018; 9:456. [PMID: 30319463 PMCID: PMC6165901 DOI: 10.3389/fpsyt.2018.00456] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 09/03/2018] [Indexed: 02/01/2023] Open
Abstract
The habenula (Hb), a bilateral nucleus located next to the dorsomedial thalamus, is of particular relevance to psychiatric disorders based on preclinical evidence linking the Hb to depressive and amotivational states. However, studies in clinical samples are scant because segmentation of the Hb in neuroimaging data is challenging due to its small size and low contrast from the surrounding tissues. Negative affective states dominate the clinical course of schizophrenia and bipolar disorder and represent a major cause of disability. Diagnosis-related alterations in the volume of Hb in these disorders have therefore been hypothesized but remain largely untested. To probe this question, we used a recently developed objective and reliable semi-automated Hb segmentation method based on myelin-sensitive magnetic resonance imaging (MRI) data. We ascertained case-control differences in Hb volume from high resolution structural MRI data obtained from patients with schizophrenia (n = 95), bipolar disorder (n = 44) and demographically matched healthy individuals (n = 52). Following strict quality control of the MRI data, the final sample comprised 68 patients with schizophrenia, 32 with bipolar disorder and 40 healthy individuals. Regardless of diagnosis, age, sex, and IQ were not correlated with Hb volume. This was also the case for age of illness onset and medication (i.e., antipsychotic dose and lithium-treatment status). Case-control differences in Hb volume did not reach statistical significance; their effect size (Cohen's d) was negligible on the left (schizophrenia: 0.14; bipolar disorder: -0.03) and small on the right (schizophrenia: 0.34; bipolar disorder: 0.26). Nevertheless, variability in the volume of the right Hb was associated with suicidality in the entire patient sample (ρ = 0.29, p = 0.004) as well as in each patient group (bipolar disorder: ρ = 0.34, p = 0.04; schizophrenia: ρ = 0.25, p = 0.04). These findings warrant replication in larger samples and longitudinal designs and encourage more comprehensive characterization of Hb connectivity and function in clinical populations.
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Affiliation(s)
- Matthew Schafer
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Joo-Won Kim
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Joshmi Joseph
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Junqian Xu
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Gaelle E Doucet
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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45
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Cheng RK, Krishnan S, Lin Q, Kibat C, Jesuthasan S. Characterization of a thalamic nucleus mediating habenula responses to changes in ambient illumination. BMC Biol 2017; 15:104. [PMID: 29100543 PMCID: PMC5670518 DOI: 10.1186/s12915-017-0431-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 09/25/2017] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Neural activity in the vertebrate habenula is affected by ambient illumination. The nucleus that links photoreceptor activity with the habenula is not well characterized. Here, we describe the location, inputs and potential function of this nucleus in larval zebrafish. RESULTS High-speed calcium imaging shows that light ON and OFF both evoke a rapid response in the dorsal left neuropil of the habenula, indicating preferential targeting of this neuropil by afferents conveying information about ambient illumination. Injection of a lipophilic dye into this neuropil led to bilateral labeling of a nucleus in the anterior thalamus that responds to light ON and OFF, and that receives innervation from the retina and pineal organ. Lesioning the neuropil of this thalamic nucleus reduced the habenula response to light ON and OFF. Optogenetic stimulation of the thalamus with channelrhodopsin-2 caused depolarization in the habenula, while manipulation with anion channelrhodopsins inhibited habenula response to light and disrupted climbing and diving evoked by illumination change. CONCLUSIONS A nucleus in the anterior thalamus of larval zebrafish innervates the dorsal left habenula. This nucleus receives input from the retina and pineal, responds to increase and decrease in ambient illumination, enables habenula responses to change in irradiance, and may function in light-evoked vertical migration.
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Affiliation(s)
- Ruey-Kuang Cheng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore
| | - Seetha Krishnan
- NUS Graduate School for Integrative Sciences and Engineering, 28 Medical Drive, National University of Singapore, Singapore, 117456, Singapore
| | - Qian Lin
- NUS Graduate School for Integrative Sciences and Engineering, 28 Medical Drive, National University of Singapore, Singapore, 117456, Singapore
| | - Caroline Kibat
- Neural Circuitry and Behavior Laboratory, Institute of Molecular and Cell Biology, Singapore, 138673, Singapore
| | - Suresh Jesuthasan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore.
- Neural Circuitry and Behavior Laboratory, Institute of Molecular and Cell Biology, Singapore, 138673, Singapore.
- Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore.
- Department of Physiology, National University of Singapore, Singapore, 117597, Singapore.
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Abstract
Changes in illumination can rapidly influence behavior that is normally controlled by the circadian clock. This effect is termed masking. In mice, masking requires melanopsin-expressing retinal ganglion cells that detect blue light and project to the thalamus. It is not known whether masking is wavelength-dependent in other vertebrates, nor is it known whether the thalamus is also involved or how it influences masking. Here, we address these questions in zebrafish. We find that diel vertical migration, a circadian behavior in larval zebrafish, is effectively triggered by blue, but not by red light. Two-photon calcium imaging reveals that a thalamic nucleus and a downstream structure, the habenula, have a sustained response to blue but not to red light. Lesioning the habenula reduces light-evoked climbing. These data suggest that the thalamo-habenula pathway is involved in the ability of blue light to influence a circadian behavior.
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Affiliation(s)
- Qian Lin
- NUS Graduate School for Integrative Sciences and Engineering, 28 Medical Drive, National University of Singapore, Singapore, 117456, Singapore.,The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Suresh Jesuthasan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore. .,Neural Circuitry and Behavior Laboratory, Institute of Molecular and Cell Biology, Singapore, 138673, Singapore. .,Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore. .,Department of Physiology, National University of Singapore, Singapore, 117597, Singapore.
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