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Huang H, Chen C, Rong B, Zhou Y, Yuan W, Peng Y, Liu Z, Wang G, Wang H. Distinct resting-state functional connectivity of the anterior cingulate cortex subregions in first-episode schizophrenia. Brain Imaging Behav 2024; 18:675-685. [PMID: 38349504 DOI: 10.1007/s11682-024-00863-0] [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] [Accepted: 02/06/2024] [Indexed: 07/04/2024]
Abstract
The anterior cingulate cortex (ACC) is a heterogeneous region of the brain's limbic system that regulates cognitive and emotional processing, and is frequently implicated in schizophrenia. This study aims to characterize resting-state functional connectivity (rsFC) profiles of three subregions of ACC in patients with first-episode schizophrenia and healthy controls. Resting-state functional magnetic resonance imaging (rs-fMRI) scans were collected from 60 first-episode schizophrenia (FES) patients and 60 healthy controls (HC), and the subgenual ACC (sgACC), pregenual ACC (pgACC), and dorsal ACC (dACC) were selected as seed regions from the newest automated anatomical labeling atlas 3 (AAL3). Seed-based rsFC maps for each ACC subregion were generated and compared between the two groups. The results revealed that compared to the HC group, the FES group showed higher rsFC between the pgACC and bilateral lateral orbitofrontal cortex (lOFC), and lower rsFC between the dACC and right posterior OFC (pOFC), the medial prefrontal gyrus (MPFC), and the precuneus cortex (PCu). These findings point to a selective functional dysconnectivity of pgACC and dACC in schizophrenia and provide more accurate information about the functional role of the ACC in this disorder.
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Affiliation(s)
- Huan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
| | - Cheng Chen
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
| | - Bei Rong
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
| | - Yuan Zhou
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wei Yuan
- Department of Psychiatry, Yidu People's Hospital, Yidu, 443300, China
| | - Yunlong Peng
- Department of Psychiatry, Yidu People's Hospital, Yidu, 443300, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
- Hubei Institute of Neurology and Psychiatry Research, Wuhan, 430060, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China.
- Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan, 430071, China.
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Hemodynamic transient and functional connectivity follow structural connectivity and cell type over the brain hierarchy. Proc Natl Acad Sci U S A 2023; 120:e2202435120. [PMID: 36693103 PMCID: PMC9945945 DOI: 10.1073/pnas.2202435120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The neural circuit of the brain is organized as a hierarchy of functional units with wide-ranging connections that support information flow and functional connectivity. Studies using MRI indicate a moderate coupling between structural and functional connectivity at the system level. However, how do connections of different directions (feedforward and feedback) and regions with different excitatory and inhibitory (E/I) neurons shape the hemodynamic activity and functional connectivity over the hierarchy are unknown. Here, we used functional MRI to detect optogenetic-evoked and resting-state activities over a somatosensory pathway in the mouse brain in relation to axonal projection and E/I distribution. Using a highly sensitive ultrafast imaging, we identified extensive activation in regions up to the third order of axonal projections following optogenetic excitation of the ventral posteriomedial nucleus of the thalamus. The evoked response and functional connectivity correlated with feedforward projections more than feedback projections and weakened with the hierarchy. The hemodynamic response exhibited regional and hierarchical differences, with slower and more variable responses in high-order areas and bipolar response predominantly in the contralateral cortex. Electrophysiological recordings suggest that these reflect differences in neural activity rather than neurovascular coupling. Importantly, the positive and negative parts of the hemodynamic response correlated with E/I neuronal densities, respectively. Furthermore, resting-state functional connectivity was more associated with E/I distribution, whereas stimulus-evoked effective connectivity followed structural wiring. These findings indicate that the structure-function relationship is projection-, cell-type- and hierarchy-dependent. Hemodynamic transients could reflect E/I activity and the increased complexity of hierarchical processing.
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Neuwirth LS, Verrengia MT, Harikinish-Murrary ZI, Orens JE, Lopez OE. Under or Absent Reporting of Light Stimuli in Testing of Anxiety-Like Behaviors in Rodents: The Need for Standardization. Front Mol Neurosci 2022; 15:912146. [PMID: 36061362 PMCID: PMC9428565 DOI: 10.3389/fnmol.2022.912146] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/21/2022] [Indexed: 11/17/2022] Open
Abstract
Behavioral neuroscience tests such as the Light/Dark Test, the Open Field Test, the Elevated Plus Maze Test, and the Three Chamber Social Interaction Test have become both essential and widely used behavioral tests for transgenic and pre-clinical models for drug screening and testing. However, as fast as the field has evolved and the contemporaneous involvement of technology, little assessment of the literature has been done to ensure that these behavioral neuroscience tests that are crucial to pre-clinical testing have well-controlled ethological motivation by the use of lighting (i.e., Lux). In the present review paper, N = 420 manuscripts were examined from 2015 to 2019 as a sample set (i.e., n = ~20–22 publications per year) and it was found that only a meager n = 50 publications (i.e., 11.9% of the publications sampled) met the criteria for proper anxiogenic and anxiolytic Lux reported. These findings illustrate a serious concern that behavioral neuroscience papers are not being vetted properly at the journal review level and are being released into the literature and public domain making it difficult to assess the quality of the science being reported. This creates a real need for standardizing the use of Lux in all publications on behavioral neuroscience techniques within the field to ensure that contributions are meaningful, avoid unnecessary duplication, and ultimately would serve to create a more efficient process within the pre-clinical screening/testing for drugs that serve as anxiolytic compounds that would prove more useful than what prior decades of work have produced. It is suggested that improving the standardization of the use and reporting of Lux in behavioral neuroscience tests and the standardization of peer-review processes overseeing the proper documentation of these methodological approaches in manuscripts could serve to advance pre-clinical testing for effective anxiolytic drugs. This report serves to highlight this concern and proposes strategies to proactively remedy them as the field moves forward for decades to come.
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Affiliation(s)
- Lorenz S. Neuwirth
- Department of Psychology, SUNY Old Westbury, Old Westbury, NY, United States
- SUNY Neuroscience Research Institute, SUNY Old Westbury, Old Westbury, NY, United States
- *Correspondence: Lorenz S. Neuwirth
| | - Michael T. Verrengia
- Department of Psychology, SUNY Old Westbury, Old Westbury, NY, United States
- SUNY Neuroscience Research Institute, SUNY Old Westbury, Old Westbury, NY, United States
| | - Zachary I. Harikinish-Murrary
- Department of Psychology, SUNY Old Westbury, Old Westbury, NY, United States
- SUNY Neuroscience Research Institute, SUNY Old Westbury, Old Westbury, NY, United States
| | - Jessica E. Orens
- Department of Psychology, SUNY Old Westbury, Old Westbury, NY, United States
- SUNY Neuroscience Research Institute, SUNY Old Westbury, Old Westbury, NY, United States
| | - Oscar E. Lopez
- Department of Psychology, SUNY Old Westbury, Old Westbury, NY, United States
- SUNY Neuroscience Research Institute, SUNY Old Westbury, Old Westbury, NY, United States
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4
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Lake EMR, Higley MJ. Building bridges: simultaneous multimodal neuroimaging approaches for exploring the organization of brain networks. NEUROPHOTONICS 2022; 9:032202. [PMID: 36159712 PMCID: PMC9506627 DOI: 10.1117/1.nph.9.3.032202] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
Brain organization is evident across spatiotemporal scales as well as from structural and functional data. Yet, translating from micro- to macroscale (vice versa) as well as between different measures is difficult. Reconciling disparate observations from different modes is challenging because each specializes within a restricted spatiotemporal milieu, usually has bounded organ coverage, and has access to different contrasts. True intersubject biological heterogeneity, variation in experiment implementation (e.g., use of anesthesia), and true moment-to-moment variations in brain activity (maybe attributable to different brain states) also contribute to variability between studies. Ultimately, for a deeper and more actionable understanding of brain organization, an ability to translate across scales, measures, and species is needed. Simultaneous multimodal methods can contribute to bettering this understanding. We consider four modes, three optically based: multiphoton imaging, single-photon (wide-field) imaging, and fiber photometry, as well as magnetic resonance imaging. We discuss each mode as well as their pairwise combinations with regard to the definition and study of brain networks.
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Affiliation(s)
- Evelyn M. R. Lake
- Yale School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, Connecticut, United States
| | - Michael J. Higley
- Yale School of Medicine, Departments of Neuroscience and Psychiatry, New Haven, Connecticut, United States
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, Connecticut, United States
- Program in Cellular Neuroscience, Neurodegeneration, and Repair, New Haven, Connecticut, United States
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5
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Bice AR, Xiao Q, Kong J, Yan P, Rosenthal ZP, Kraft AW, Smith KP, Wieloch T, Lee JM, Culver JP, Bauer AQ. Homotopic contralesional excitation suppresses spontaneous circuit repair and global network reconnections following ischemic stroke. eLife 2022; 11:e68852. [PMID: 35723585 PMCID: PMC9333991 DOI: 10.7554/elife.68852] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 06/14/2022] [Indexed: 11/16/2022] Open
Abstract
Understanding circuit-level manipulations that affect the brain's capacity for plasticity will inform the design of targeted interventions that enhance recovery after stroke. Following stroke, increased contralesional activity (e.g. use of the unaffected limb) can negatively influence recovery, but it is unknown which specific neural connections exert this influence, and to what extent increased contralesional activity affects systems- and molecular-level biomarkers of recovery. Here, we combine optogenetic photostimulation with optical intrinsic signal imaging to examine how contralesional excitatory activity affects cortical remodeling after stroke in mice. Following photothrombosis of left primary somatosensory forepaw (S1FP) cortex, mice either recovered spontaneously or received chronic optogenetic excitation of right S1FP over the course of 4 weeks. Contralesional excitation suppressed perilesional S1FP remapping and was associated with abnormal patterns of stimulus-evoked activity in the unaffected limb. This maneuver also prevented the restoration of resting-state functional connectivity (RSFC) within the S1FP network, RSFC in several networks functionally distinct from somatomotor regions, and resulted in persistent limb-use asymmetry. In stimulated mice, perilesional tissue exhibited transcriptional changes in several genes relevant for recovery. Our results suggest that contralesional excitation impedes local and global circuit reconnection through suppression of cortical activity and several neuroplasticity-related genes after stroke, and highlight the importance of site selection for targeted therapeutic interventions after focal ischemia.
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Affiliation(s)
- Annie R Bice
- Department of Radiology, Washington University in St. LouisSaint LouisUnited States
| | - Qingli Xiao
- Department of Neurology, Washington University in St. LouisSaint LouisUnited States
| | - Justin Kong
- Department of Biology, Washington University in St. LouisSaint LouisUnited States
| | - Ping Yan
- Department of Neurology, Washington University in St. LouisSaint LouisUnited States
| | | | - Andrew W Kraft
- Department of Neurology, Washington University in St. LouisSaint LouisUnited States
| | - Karen P Smith
- Department of Neurology, Washington University in St. LouisSaint LouisUnited States
| | | | - Jin-Moo Lee
- Department of Neurology, Washington University in St. LouisSaint LouisUnited States
| | - Joseph P Culver
- Department of Radiology, Washington University in St. LouisSt. LouisUnited States
| | - Adam Q Bauer
- Department of Radiology, Washington University in St. LouisSaint LouisUnited States
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Kim M, Bao J, Liu K, Park BY, Park H, Baik JY, Shen L. A structural enriched functional network: An application to predict brain cognitive performance. Med Image Anal 2021; 71:102026. [PMID: 33848962 DOI: 10.1016/j.media.2021.102026] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 01/10/2021] [Accepted: 03/01/2021] [Indexed: 11/19/2022]
Abstract
The structure-function coupling in brain networks has emerged as an important research topic in modern neuroscience. The structural network could provide the backbone of the functional network. The integration of the functional network with structural information can help us better understand functional communication in the brain. This paper proposed a method to accurately estimate the brain functional network enriched by the structural network from diffusion magnetic resonance imaging. First, we adopted a simplex regression model with graph-constrained Elastic Net to construct the functional networks enriched by the structural network. Then, we compared the constructed network characteristics of this approach with several state-of-the-art competing functional network models. Furthermore, we evaluated whether the structural enriched functional network model improves the performance for predicting the cognitive-behavioral outcomes. The experiments have been performed on 218 participants from the Human Connectome Project database. The results demonstrated that our network model improves network consistency and its predictive performance compared with several state-of-the-art competing functional network models.
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Affiliation(s)
- Mansu Kim
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, PA, USA
| | - Jingxuan Bao
- School of Arts and Sciences, University of Pennsylvania, PA, USA
| | - Kefei Liu
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, PA, USA
| | - Bo-Yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Hyunjin Park
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Jae Young Baik
- School of Arts and Sciences, University of Pennsylvania, PA, USA
| | - Li Shen
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, PA, USA.
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Spiegler A, Abadchi JK, Mohajerani M, Jirsa VK. In silico exploration of mouse brain dynamics by focal stimulation reflects the organization of functional networks and sensory processing. Netw Neurosci 2021; 4:807-851. [PMID: 33615092 PMCID: PMC7888484 DOI: 10.1162/netn_a_00152] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 06/08/2020] [Indexed: 12/12/2022] Open
Abstract
Resting-state functional networks such as the default mode network (DMN) dominate spontaneous brain dynamics. To date, the mechanisms linking brain structure and brain dynamics and functions in cognition, perception, and action remain unknown, mainly due to the uncontrolled and erratic nature of the resting state. Here we used a stimulation paradigm to probe the brain’s resting behavior, providing insights on state-space stability and multiplicity of network trajectories after stimulation. We performed explorations on a mouse model to map spatiotemporal brain dynamics as a function of the stimulation site. We demonstrated the emergence of known functional networks in brain responses. Several responses heavily relied on the DMN and were suggestive of the DMN playing a mechanistic role between functional networks. We probed the simulated brain responses to the stimulation of regions along the information processing chains of sensory systems from periphery up to primary sensory cortices. Moreover, we compared simulated dynamics against in vivo brain responses to optogenetic stimulation. Our results underwrite the importance of anatomical connectivity in the functional organization of brain networks and demonstrate how functionally differentiated information processing chains arise from the same system. We demonstrate how functionally differentiated information processing chains arise from the same anatomical network. The main result of the in-silico mouse brain simulations is the emergence of specific functional networks based on structural data from the mouse brain. When the brain is stimulated, for example, by sensory inputs or direct electrical stimulation, the brain initially responds with activities in specific regions. The brain’s anatomical connectivity constrains the subsequent pattern formation. We built a high-resolution mouse brain network model. The model structure originated from experimental data. We systematically explored the mouse model and investigated the simulated brain dynamics after stimulation. Known functional networks emerged in the simulated brain responses. The default mode network occurred in almost all characteristic response patterns. Simulated brain response dynamics and in-vivo response dynamics of the mouse brain to optogenetic stimulation showed similarities even without parameter tuning. Anatomical connectivity and dynamics shape the functional organization of brain networks.
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Affiliation(s)
- Andreas Spiegler
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Javad Karimi Abadchi
- Canadian Center for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada
| | - Majid Mohajerani
- Canadian Center for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada
| | - Viktor K Jirsa
- Institut de Neurosciences des Systèmes, UMR Inserm 1106, Aix-Marseille Université, Faculté de Médecine, Marseille, France
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MacCormack JK, Stein AG, Kang J, Giovanello KS, Satpute AB, Lindquist KA. Affect in the Aging Brain: A Neuroimaging Meta-Analysis of Older Vs. Younger Adult Affective Experience and Perception. AFFECTIVE SCIENCE 2020; 1:128-154. [PMID: 36043210 PMCID: PMC9382982 DOI: 10.1007/s42761-020-00016-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 08/20/2020] [Indexed: 05/15/2023]
Abstract
We report the first functional neuroimaging meta-analysis on age-related differences in adult neural activity during affect. We identified and coded experimental contrasts from 27 studies (published 1997-2018) with 490 older adults (55-87 years, M age = 69 years) and 470 younger adults (18-39 years, M age = 24 years). Using multilevel kernel density analysis, we assessed functional brain activation contrasts for older vs. younger adult affect across in-scanner tasks (i.e., affect induction and perception). Relative to older adults, younger adults showed more reliable activation in subcortical structures (e.g., amygdala, thalamus, caudate) and in relatively more posterior aspects of specific brain structures (e.g., posterior insula, mid- and posterior cingulate). In contrast, older adults exhibited more reliable activation in the prefrontal cortex and more anterior aspects of specific brain structures (e.g., anterior insula, anterior cingulate). Meta-analytic coactivation network analyses further revealed that in younger adults, the amygdala and mid-cingulate were more central, locally efficient network nodes, whereas in older adults, regions in the superior and medial prefrontal cortex were more central, locally efficient network nodes. Collectively, these findings help characterize age differences in the brain basis of affect and provide insights for future investigations into the neural mechanisms underlying affective aging.
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Affiliation(s)
- Jennifer K. MacCormack
- Department of Psychiatry, University of Pittsburgh, 506 Old Engineering Hall, 3943 O’Hara St, Pittsburgh, PA 15213 USA
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Andrea G. Stein
- Department of Psychology, University of Wisconsin-Madison, Madison, WI USA
| | - Jian Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI USA
| | - Kelly S. Giovanello
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Ajay B. Satpute
- Department of Psychology, Northeastern University, Boston, MA USA
| | - Kristen A. Lindquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
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Desjardins M. Causality as a New Paradigm in Brain Science. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:506-507. [PMID: 31176385 DOI: 10.1016/j.bpsc.2019.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 04/22/2019] [Indexed: 06/09/2023]
Affiliation(s)
- Michèle Desjardins
- Département de physique, de génie physique et d'optique and Axe oncologie, Centre de recherche du Centre Hospitalier Universitaire de Québec, Université Laval, Québec, Canada.
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10
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O'Hashi K, Sohya K, Matsuno H, Tsuchimine S, Kunugi H. Construction of the common cortical space by spontaneous activity and its application in the mouse cortex. Biochem Biophys Res Commun 2019; 513:869-874. [PMID: 31003772 DOI: 10.1016/j.bbrc.2019.04.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 04/07/2019] [Indexed: 02/09/2023]
Abstract
Wide-field optical imaging of the animal brain is a useful technique for measuring brain dynamics, including spatial structure. However, quantitative inter-animal comparison is difficult due to lack of the common cortical space that can normalize individually imaged brains as done in human functional MRI studies. Here, by using wide-field functional Ca2+ imaging on anesthetized transgenic mice expressing G-CaMP7 in astrocytes and excitatory neutrons, we attempted to establish the common cortical space in mice, which can be useful as a standard of functional brain map. We initially reconstructed cortical areas embedded within spontaneous activity as the functional connectivity maps for the individual mice, then matched them in size, shape, and location across mice by geometric transformation. Finally, we assigned all the recorded signals into the transformed space, to make spatially normalized signals in the common cortical space. Using this method, we managed to extract activity patterns commonly observed across mice. These results suggest that the presented method is available to facilitate inter-animal comparison of brain dynamics, and has the potential to identify common brain activity across animals.
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Affiliation(s)
- Kazunori O'Hashi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8502, Japan
| | - Kazuhiro Sohya
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8502, Japan.
| | - Hitomi Matsuno
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8502, Japan
| | - Shoko Tsuchimine
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8502, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8502, Japan
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