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Tao Q, Dang J, Guo H, Zhang M, Niu X, Kang Y, Sun J, Ma L, Wei Y, Wang W, Wen B, Cheng J, Han S, Zhang Y. Abnormalities in static and dynamic intrinsic neural activity and neurotransmitters in first-episode OCD. J Affect Disord 2024; 363:609-618. [PMID: 39029696 DOI: 10.1016/j.jad.2024.07.123] [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: 01/24/2024] [Revised: 06/29/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a disabling disorder in which the temporal variability of regional brain connectivity is not well understood. The aim of this study was to investigate alterations in static and dynamic intrinsic neural activity (INA) in first-episode OCD and whether these changes have the potential to reflect neurotransmitters. METHODS A total of 95 first-episode OCD patients and 106 matched healthy controls (HCs) were included in this study. Based on resting-state functional magnetic resonance imaging (rs-fMRI), the static and dynamic local connectivity coherence (calculated by static and dynamic regional homogeneity, sReHo and dReHo) were compared between the two groups. Furthermore, correlations between abnormal INA and PET- and SPECT-derived maps were performed to examine specific neurotransmitter system changes underlying INA abnormalities in OCD. RESULTS Compared with HCs, OCD showed decreased sReHo and dReHo values in left superior, middle temporal gyrus (STG/MTG), left Heschl gyrus (HES), left putamen, left insula, bilateral paracentral lobular (PCL), right postcentral gyrus (PoCG), right precentral gyrus (PreCG), left precuneus and right supplementary motor area (SMA). Decreased dReHo values were also found in left PoCG, left PreCG, left SMA and left middle cingulate cortex (MCC). Meanwhile, alterations in INA present in brain regions were correlated with dopamine system (D2, FDOPA), norepinephrine transporter (NAT) and the vesicular acetylcholine transporter (VAChT) maps. CONCLUSION Static and dynamic INA abnormalities exist in first-episode OCD, having the potential to reveal the molecular characteristics. The results help to further understand the pathophysiological mechanism and provide alternative therapeutic targets of OCD.
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Affiliation(s)
- Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Huirong Guo
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yimeng Kang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Longyao Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
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Bruin WB, Abe Y, Alonso P, Anticevic A, Backhausen LL, Balachander S, Bargallo N, Batistuzzo MC, Benedetti F, Bertolin Triquell S, Brem S, Calesella F, Couto B, Denys DAJP, Echevarria MAN, Eng GK, Ferreira S, Feusner JD, Grazioplene RG, Gruner P, Guo JY, Hagen K, Hansen B, Hirano Y, Hoexter MQ, Jahanshad N, Jaspers-Fayer F, Kasprzak S, Kim M, Koch K, Bin Kwak Y, Kwon JS, Lazaro L, Li CSR, Lochner C, Marsh R, Martínez-Zalacaín I, Menchon JM, Moreira PS, Morgado P, Nakagawa A, Nakao T, Narayanaswamy JC, Nurmi EL, Zorrilla JCP, Piacentini J, Picó-Pérez M, Piras F, Piras F, Pittenger C, Reddy JYC, Rodriguez-Manrique D, Sakai Y, Shimizu E, Shivakumar V, Simpson BH, Soriano-Mas C, Sousa N, Spalletta G, Stern ER, Evelyn Stewart S, Szeszko PR, Tang J, Thomopoulos SI, Thorsen AL, Yoshida T, Tomiyama H, Vai B, Veer IM, Venkatasubramanian G, Vetter NC, Vriend C, Walitza S, Waller L, Wang Z, Watanabe A, Wolff N, Yun JY, Zhao Q, van Leeuwen WA, van Marle HJF, van de Mortel LA, van der Straten A, van der Werf YD, Thompson PM, Stein DJ, van den Heuvel OA, van Wingen GA. The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium. Mol Psychiatry 2023; 28:4307-4319. [PMID: 37131072 PMCID: PMC10827654 DOI: 10.1038/s41380-023-02077-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 04/11/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023]
Abstract
Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is based on small-scale studies, limiting the generalizability of results. Moreover, the majority of studies have focused only on predefined regions or functional networks rather than connectivity throughout the entire brain. Here, we investigated differences in resting-state functional connectivity between OCD patients and healthy controls (HC) using mega-analysis of data from 1024 OCD patients and 1028 HC from 28 independent samples of the ENIGMA-OCD consortium. We assessed group differences in whole-brain functional connectivity at both the regional and network level, and investigated whether functional connectivity could serve as biomarker to identify patient status at the individual level using machine learning analysis. The mega-analyses revealed widespread abnormalities in functional connectivity in OCD, with global hypo-connectivity (Cohen's d: -0.27 to -0.13) and few hyper-connections, mainly with the thalamus (Cohen's d: 0.19 to 0.22). Most hypo-connections were located within the sensorimotor network and no fronto-striatal abnormalities were found. Overall, classification performances were poor, with area-under-the-receiver-operating-characteristic curve (AUC) scores ranging between 0.567 and 0.673, with better classification for medicated (AUC = 0.702) than unmedicated (AUC = 0.608) patients versus healthy controls. These findings provide partial support for existing pathophysiological models of OCD and highlight the important role of the sensorimotor network in OCD. However, resting-state connectivity does not so far provide an accurate biomarker for identifying patients at the individual level.
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Grants
- R01 AG058854 NIA NIH HHS
- R01 MH126213 NIMH NIH HHS
- R21 MH101441 NIMH NIH HHS
- R01 MH121520 NIMH NIH HHS
- R21 MH093889 NIMH NIH HHS
- R01 MH116147 NIMH NIH HHS
- R01 MH111794 NIMH NIH HHS
- R01 MH085900 NIMH NIH HHS
- P41 EB015922 NIBIB NIH HHS
- IA/CPHE/18/1/503956 DBT-Wellcome Trust India Alliance
- UL1 TR001863 NCATS NIH HHS
- R01 MH081864 NIMH NIH HHS
- R01 MH104648 NIMH NIH HHS
- U54 EB020403 NIBIB NIH HHS
- R01 MH117601 NIMH NIH HHS
- R01 MH116038 NIMH NIH HHS
- R01 MH126981 NIMH NIH HHS
- R01 NS107513 NINDS NIH HHS
- RF1 MH123163 NIMH NIH HHS
- R33 MH107589 NIMH NIH HHS
- K24 MH121571 NIMH NIH HHS
- R01 MH121246 NIMH NIH HHS
- Wellcome Trust
- K23 MH115206 NIMH NIH HHS
- R01 AG059874 NIA NIH HHS
- Funding from Japan Society for the Promotion of Science (KAKENHI Grant No. 18K15523)
- Carlos III Health Institute PI18/00856
- NIMH: 5R01MH116038
- Sara Bertolin was supported by Instituto de Salud Carlos III through the grant CM21/00278 (Co-funded by European Social Fund. ESF investing in your future).
- Hartmann Müller Foundation (no. 1460, principal investigator: S.Brem)
- NIHM: R01MH085900, R01MH121520
- NIH: K23 MH115206 & IOCDF Annual Research Award
- AMED Brain/MINDS Beyond program Grant No. JP22dm0307002, JSPS KAKENHI Grants No. 22H01090, 21K03084, 19K03309, 16K04344
- NIH: R01MH117601, R01AG059874, P41EB015922, R01MH126213, R01MH121246
- Michael Smith Health Research BC
- the Deutsche Forschungsgemeinschaf (KO 3744/11-1)
- This work was supported by the Medical Research Council of South Africa (SAMRC), and the National Research Foundation of South Africa (Christine Lochner), and we acknowledge the contribution of our research assistants.
- NIMH: R21MH093889, R21MH101441 and R01MH104648
- IM-Z was supported by a PFIS grant (FI17/00294) from the Carlos III Health Institute
- This work was supported by National funds, through the Foundation for Science and Technology (project UIDB/50026/2020 and UIDP/50026/2020); by the Norte Portugal Regional Operational Programme (NORTE 2020) under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF) (projects NORTE-01-0145-FEDER-000013 and NORTE-01-0145-FEDER-000023), and by the FLAD Science Award Mental Health 2021.
- JSPS KAKENHI (C)21K07547, 22K07598 and 22K15766
- Government of India grants from Department of Science and Technology (DST INSPIRE faculty grant -IFA12-LSBM-26) & Department of Biotechnology (BT/06/IYBA/2012)
- NIMH: R01MH081864
- MPP was supported by the Spanish Ministry of Universities, with funds from the European Union - NextGenerationEU (MAZ/2021/11).
- Italian Ministry of Health, Ricerca Corrente 2022, 2023
- NIMH: K24MH121571
- Government of India grants to: Prof. Reddy [(SR/S0/HS/0016/2011) & (BT/PR13334/Med/30/259/2009)], Dr. Janardhanan Narayanaswamy (DST INSPIRE faculty grant -IFA12-LSBM-26) & (BT/06/IYBA/2012) and the Wellcome-DBT India Alliance grant to Dr. Ganesan Venkatasubramanian (500236/Z/11/Z)
- the Japan Agency for Medical Research and Development: JP22dm0307008
- DBT-Wellcome Trust India Alliance Early Career Fellowship grant (IA/CPHE/18/1/503956)
- NIMH: R21MH093889 and R01MH104648
- Grant #PI19/01171 from the Carlos III Health Institute, and 2017SGR 1247 from AGAUR-Generalitat de Catalunya.
- Italian Ministry of Health grant RC19-20-21-22/A
- Grants R01MH126981, R01MH111794, and R33MH107589 from the National Institute of Mental Health/National Institute of Health awarded to ERS.
- National Natural Science Foundation of China (Nos. 81871057, 82171495), and Key Technologies Research and Development Program of China (Nos.2022YFE0103700)
- Helse Vest Health Authority (Grant ID 911754 and 911880)
- JSPS KAKENHI (C) JP21K07547, 22K07598 and 22K15766.
- Ganesan Venkatasubramanian acknowledges the support of Department of Biotechnology (DBT) - Wellcome Trust India Alliance CRC grant (IA/CRC/19/1/610005) & senior fellowship grant (500236/Z/11/Z)
- Supported by an grant from Amsterdam Neuroscience CIA-2019-03-A
- Swiss National Science Foundation (no. 320030_130237, principal investigator: S.Walitza)
- The National Natural Science Foundation of China (82071518)
- Else Kröner Fresenius Stiftung (2017_A101)
- ENIGMA World Aging Center, NIA Award No. R01AG058854; ENIGMA Parkinson's Initiative: A Global Initiative for Parkinson's Disease, NINDS award RO1NS107513
- the Obsessive-Compulsive Foundation to Dan J. Stein
- Dutch Organization for Scientific Research (NWO/ZonMW) VENI grant (916-86-038) and Brain & Behavior Research Foundation (NARSAD grant), Netherlands Brain Foundation (2010(1)-50)
- Netherlands Organization for Scientific Research (NWO/ZonMW Vidi Grant No. 165.610.002, 016.156.318, and 917.15.318 G.A. van Wingen)
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Affiliation(s)
- Willem B Bruin
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Amsterdam, The Netherlands.
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Pino Alonso
- Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain
- Department of Clinical Science, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- IDIBELL, Bellvitge University Hospital, Barcelona, Spain
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Lea L Backhausen
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Srinivas Balachander
- Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Nuria Bargallo
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
- Radiology Service, Diagnosis Image Center, Hospital Clinic de Barcelona, Barcelona, Spain
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Marcelo C Batistuzzo
- Department of Psychiatry, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
- Department of Methods and Techniques in Psychology, Pontifical Catholic University, Sao Paulo, Brazil
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Sara Bertolin Triquell
- Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Federico Calesella
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Beatriz Couto
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Clinical Academic Center-Braga, Braga, Portugal
| | - Damiaan A J P Denys
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Marco A N Echevarria
- Department of Psychiatry, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
| | - Goi Khia Eng
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Sónia Ferreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Clinical Academic Center-Braga, Braga, Portugal
| | - Jamie D Feusner
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- General Adult Psychiatry & Health Systems, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | | | - Patricia Gruner
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Joyce Y Guo
- University of California, San Diego, CA, USA
| | - Kristen Hagen
- Molde Hospital, Møre og Romsdal Hospital Trust, Molde, Norway
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bjarne Hansen
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
- Center for Crisis Psychology, University of Bergen, Bergen, Norway
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Marcelo Q Hoexter
- Department of Psychiatry, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Fern Jaspers-Fayer
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Selina Kasprzak
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kathrin Koch
- Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Yoo Bin Kwak
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Luisa Lazaro
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | | | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Rachel Marsh
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Ignacio Martínez-Zalacaín
- Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Jose M Menchon
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
- Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Pedro S Moreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Psychological Neuroscience Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Clinical Academic Center-Braga, Braga, Portugal
| | - Akiko Nakagawa
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Tomohiro Nakao
- Graduate School of Medical Sciences, Kyushu University, Fukuoka-shi, Japan
| | - Janardhanan C Narayanaswamy
- National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
- GVAMHS, Goulburn Valley Health, Shepparton, VIC, Australia
| | - Erika L Nurmi
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA
| | - Jose C Pariente Zorrilla
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - John Piacentini
- Division of Child and Adolescent Psychiatry, UCLA Semel Institute for Neuroscience, Los Angeles, CA, USA
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castelló de la Plana, Spain
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | | | - Janardhan Y C Reddy
- Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Daniela Rodriguez-Manrique
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Ludwig-Maximilians-Universität, Munich, Germany
| | - Yuki Sakai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui, Japan
- Department of Cognitive Behavioral Physiology Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Venkataram Shivakumar
- Department of Integrative Medicine, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Blair H Simpson
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Carles Soriano-Mas
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
- Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain
- Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona-UB, Barcelona, Spain
| | - Nuno Sousa
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Clinical Academic Center-Braga, Braga, Portugal
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Emily R Stern
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - S Evelyn Stewart
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, BC, Canada
| | - Philip R Szeszko
- Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anders L Thorsen
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
- Center for Crisis Psychology, University of Bergen, Bergen, Norway
| | - Tokiko Yoshida
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Hirofumi Tomiyama
- Graduate School of Medical Sciences, Kyushu University, Fukuoka-shi, Japan
| | - Benedetta Vai
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Ilya M Veer
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Nora C Vetter
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Psychology, Faculty of Natural Sciences, MSB Medical School Berlin, Berlin, Germany
| | - Chris Vriend
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention program, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging program, Amsterdam, The Netherlands
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Lea Waller
- Department of Psychiatry and Neurosciences CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao, China
| | - Anri Watanabe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nicole Wolff
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Je-Yeon Yun
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Qing Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao, China
| | - Wieke A van Leeuwen
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Hein J F van Marle
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood Anxiety Psychosis Stress Sleep, Amsterdam, The Netherlands
| | - Laurens A van de Mortel
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Anouk van der Straten
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Ysbrand D van der Werf
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention program, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging program, Amsterdam, The Netherlands
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dan J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Odile A van den Heuvel
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention program, Amsterdam, The Netherlands
| | - Guido A van Wingen
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Amsterdam, The Netherlands.
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3
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Li H, Wang Y, Xi H, Zhang J, Zhao M, Jia X. Alterations of regional spontaneous brain activity in obsessive-compulsive disorders: A meta-analysis. J Psychiatr Res 2023; 165:325-335. [PMID: 37573797 DOI: 10.1016/j.jpsychires.2023.07.036] [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: 12/09/2022] [Revised: 07/04/2023] [Accepted: 07/26/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND Recent studies using resting-state functional magnetic resonance imaging (rs-fMRI) demonstrate that there is aberrant regional spontaneous brain activity in obsessive-compulsive disorders (OCD). Nevertheless, the results of previous studies are contradictory, especially in the abnormal brain regions and the directions of their activities. It is necessary to perform a meta-analysis to identify the common pattern of altered regional spontaneous brain activity in patients with OCD. METHODS The present study conducted a systematic search for studies in English published up to May 2023 in PubMed, Web of Science, and Embase. These studies measured differences in regional spontaneous brain activity at the whole brain level using regional homogeneity (ReHo), the amplitude of low-frequency fluctuations (ALFF) and the fractional amplitude of low-frequency fluctuations (fALFF). Then the Anisotropic effect-size version of seed-based d mapping (AES-SDM) was used to investigate the consistent abnormality of regional spontaneous brain activity in patients with OCD. RESULTS 27 studies (33 datasets) were included with 1256 OCD patients (650 males, 606 females) and 1176 healthy controls (HCs) (588 males, 588 females). Compared to HCs, patients with OCD showed increased spontaneous brain activity in the right inferior parietal gyrus (Brodmann Area 39), left median cingulate and paracingulate gyri (Brodmann Area 24), bilateral inferior cerebellum, right middle frontal gyrus (Brodmann Area 46), left inferior frontal gyrus in triangular part (Brodmann Area 45) and left middle frontal gyrus in orbital part (Brodmann Area 11). Meanwhile, decreased spontaneous brain activity was identified in the right precentral gyrus (Brodmann Area 4), right insula (Brodmann Area 48), left postcentral gyrus (Brodmann Area 43), bilateral superior cerebellum and left caudate (Brodmann Area 25). CONCLUSIONS This meta-analysis provided a quantitative review of spontaneous brain activity in OCD. The results demonstrated that the brain regions in the frontal lobe, sensorimotor cortex, cerebellum, caudate and insula are crucially involved in the pathophysiology of OCD. This research contributes to the understanding of the pathophysiologic mechanism underlying OCD and could provide a new perspective on future diagnosis and treatment of OCD.
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Affiliation(s)
- Huayun Li
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China; Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Jinhua, China.
| | - Yihe Wang
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China; Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Jinhua, China
| | - Hongyu Xi
- School of Western Language, Heilongjiang University, Harbin, China
| | - Jianxin Zhang
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, China
| | - Mengqi Zhao
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
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4
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Jalal B, Chamberlain SR, Sahakian BJ. Obsessive-compulsive disorder: Etiology, neuropathology, and cognitive dysfunction. Brain Behav 2023; 13:e3000. [PMID: 37137502 PMCID: PMC10275553 DOI: 10.1002/brb3.3000] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 03/14/2023] [Accepted: 03/24/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND This review provides an overview of obsessive-compulsive disorder (OCD) symptoms, including the four partially distinct subtypes of the disorder, current diagnostic criteria, and common comorbidities. Critically, it focuses on the etiology of OCD, including its underlying neuropathology, and examines cognitive dysfunction in OCD. METHODS This review study was conducted by library method. RESULTS We show how dysfunction in cortico-striato-thalamo-cortical (CSTC) circuits may underpin symptoms; and shed light on the putative neurochemistry within these loops such as the role of serotonin, dopamine, and glutamate systems. We also show how OCD is characterized by cognitive dysfunction including problems in cognitive flexibility, visuospatial memory, response inhibition, and goal-directed behavior, linked to aberrant activity within CSTC circuits. CONCLUSIONS In brief, research questions we shed light on include (1) what are the symptoms in OCD; (2) what is the etiology of the disorder and do existing models explain OCD; and (3) what are key cognitive deficits in OCD and do these improve with treatment?
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Affiliation(s)
- Baland Jalal
- Department of PsychiatryUniversity of Cambridge School of Clinical MedicineCambridgeUK
- Behavioural and Clinical Neuroscience Institute, Department of PsychologyUniversity of CambridgeCambridgeUK
| | - Samuel R. Chamberlain
- Faculty of Medicine, Department of PsychiatryUniversity of SouthamptonSouthamptonUK
- Specialist Clinic for Impulsive and Compulsive Disorders, and the Southern Gambling ServiceSouthern Health NHS Foundation TrustSouthamptonUK
| | - Barbara J. Sahakian
- Department of PsychiatryUniversity of Cambridge School of Clinical MedicineCambridgeUK
- Behavioural and Clinical Neuroscience Institute, Department of PsychologyUniversity of CambridgeCambridgeUK
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5
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Du H, Xia J, Fan J, Gao F, Wang X, Han Y, Tan C, Zhu X. Spontaneous neural activity in the right fusiform gyrus and putamen is associated with consummatory anhedonia in obsessive compulsive disorder. Brain Imaging Behav 2022; 16:1708-1720. [DOI: 10.1007/s11682-021-00619-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2021] [Indexed: 11/28/2022]
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6
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity in hippocampal-cortical system of patients with obsessive-compulsive disorder and its potential for diagnosis and prediction of early treatment response. Front Cell Neurosci 2022; 16:906534. [PMID: 35910254 PMCID: PMC9334680 DOI: 10.3389/fncel.2022.906534] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
Early brain functional changes induced by pharmacotherapy in patients with obsessive-compulsive disorder (OCD) in relation to drugs per se or because of the impact of such drugs on the improvement of OCD remain unclear. Moreover, no neuroimaging biomarkers are available for diagnosis of OCD and prediction of early treatment response. We performed a longitudinal study involving 34 patients with OCD and 36 healthy controls (HCs). Patients with OCD received 5-week treatment with paroxetine (40 mg/d). Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were applied to acquire and analyze the imaging data. Compared with HCs, patients with OCD had higher ReHo values in the right superior temporal gyrus and bilateral hippocampus/parahippocampus/fusiform gyrus/cerebellum at baseline. ReHo values in the left hippocampus and parahippocampus decreased significantly after treatment. The reduction rate (RR) of ReHo values was positively correlated with the RRs of the scores of Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and obsession. Abnormal ReHo values at baseline could serve as potential neuroimaging biomarkers for OCD diagnosis and prediction of early therapeutic response. This study highlighted the important role of the hippocampal-cortical system in the neuropsychological mechanism underlying OCD, pharmacological mechanism underlying OCD treatment, and the possibility of building models for diagnosis and prediction of early treatment response based on spontaneous activity in the hippocampal-cortical system.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
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7
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Li X, Li H, Cao L, Liu J, Xing H, Huang X, Gong Q. Application of graph theory across multiple frequency bands in drug-naïve obsessive-compulsive disorder with no comorbidity. J Psychiatr Res 2022; 150:272-278. [PMID: 35427825 DOI: 10.1016/j.jpsychires.2022.03.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 03/14/2022] [Accepted: 03/24/2022] [Indexed: 10/18/2022]
Abstract
Recently, graph theoretical analysis based on resting-state functional magnetic resonance imaging has provided a means of investigating the complex brain connectome in obsessive-compulsive disorder (OCD) patients. However, these studies have been restricted to spontaneous blood oxygen level-dependent (BOLD) signals with frequency bands between 0.01 and 0.08 Hz, and the parameters from graph theory across multiple frequency bands have seldom been studied. Here, we calculated global metrics (small-worldness, global efficiency and modularity) and nodal metrics (degree centrality, betweenness centrality, nodal clustering coefficient and shortest path) at four different frequency bands (slow-2 (0.199-0.25 Hz), slow-3 (0.074-0.198 Hz), slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz), from 0.01 to 0.25 Hz) in seventy-three OCD patients and ninety healthy controls. The analyses were also calculated in traditional low-frequency bands (0.01-0.08 Hz) for reference. For the global metrics, the OCD patients showed increased small-worldness and modularity only in the slow-3 band. For the local metrics, we observed a frequency-dependent characteristic, with the main significant differences in regions including the right precentral gyrus, occipital region, right anterior cingulum cortex and fusiform cortex. Our results suggested frequency-specific abnormalities of the brain connectome in OCD and the future studies may need to consider different frequency bands when measuring spontaneous activity in the brain.
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Affiliation(s)
- Xue Li
- College of Physics, Sichuan University, Chengdu, PR China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, PR China
| | - Lingxiao Cao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, PR China
| | - Jing Liu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, PR China
| | - Haoyang Xing
- College of Physics, Sichuan University, Chengdu, PR China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, PR China.
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, PR China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, PR China
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8
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Hu Q, Wang Q, Li Y, Xie Z, Lin X, Huang G, Zhan L, Jia X, Zhao X. Intrinsic Brain Activity Alterations in Patients With Mild Cognitive Impairment-to-Normal Reversion: A Resting-State Functional Magnetic Resonance Imaging Study From Voxel to Whole-Brain Level. Front Aging Neurosci 2022; 13:788765. [PMID: 35111039 PMCID: PMC8802752 DOI: 10.3389/fnagi.2021.788765] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 12/08/2021] [Indexed: 12/25/2022] Open
Abstract
Mild cognitive impairment (MCI) reversion refers to patients with MCI who revert from MCI to a normal cognitive state. Exploring the underlying neuromechanism of MCI reverters may contribute to providing new insights into the pathogenesis of Alzheimer's disease and developing therapeutic interventions. Information on patients with MCI and healthy controls (HCs) was collected from the Alzheimer's Disease Neuroimaging Initiative database. We redefined MCI reverters as patients with MCI whose logical memory scores changed from MCI to normal levels using the logical memory criteria. We explored intrinsic brain activity alterations in MCI reverters from voxel, regional, and whole-brain levels by comparing resting-state functional magnetic resonance imaging metrics of the amplitude of low-frequency of fluctuation (ALFF), the fractional amplitude of low-frequency fluctuation (fALFF), percent amplitude of fluctuation (PerAF), regional homogeneity (ReHo), and degree centrality (DC) between MCI reverters and HCs. Finally, partial correlation analyses were conducted between cognitive scale scores and resting-state functional magnetic resonance imaging metrics of brain regions, revealing significant group differences. Thirty-two patients with MCI from the Alzheimer's Disease Neuroimaging Initiative database were identified as reverters. Thirty-seven age-, sex-, and education-matched healthy individuals were also enrolled. At the voxel level, compared with the HCs, MCI reverters had increased ALFF, fALFF, and PerAF in the frontal gyrus (including the bilateral orbital inferior frontal gyrus and left middle frontal gyrus), increased PerAF in the left fusiform gyrus, and decreased ALFF and fALFF in the right inferior cerebellum. Regarding regional and whole-brain levels, MCI reverters showed increased ReHo in the left fusiform gyrus and right median cingulate and paracingulate gyri; increased DC in the left inferior temporal gyrus and left medial superior frontal; decreased DC in the right inferior cerebellum and bilateral insular gyrus relative to HCs. Furthermore, significant correlations were found between cognitive performance and neuroimaging changes. These findings suggest that MCI reverters show significant intrinsic brain activity changes compared with HCs, potentially related to the cognitive reversion of patients with MCI. These results enhance our understanding of the underlying neuromechanism of MCI reverters and may contribute to further exploration of Alzheimer's disease.
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Affiliation(s)
- Qili Hu
- Department of Radiology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Qianqian Wang
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Yunfei Li
- Department of Radiology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Zhou Xie
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Xiaomei Lin
- Department of Radiology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Guofeng Huang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - LinLin Zhan
- School of Western Language, Heilongjiang University, Heilongjiang, China
| | - Xize Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Xiaohu Zhao
- Department of Radiology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
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9
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Stern ER, Eng GK, De Nadai AS, Iosifescu DV, Tobe RH, Collins KA. Imbalance between default mode and sensorimotor connectivity is associated with perseverative thinking in obsessive-compulsive disorder. Transl Psychiatry 2022; 12:19. [PMID: 35022398 PMCID: PMC8755709 DOI: 10.1038/s41398-022-01780-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 12/07/2021] [Accepted: 12/20/2021] [Indexed: 11/09/2022] Open
Abstract
Obsessive-compulsive disorder (OCD) is highly heterogeneous. Although perseverative negative thinking (PT) is a feature of OCD, little is known about its neural mechanisms or relationship to clinical heterogeneity in the disorder. In a sample of 85 OCD patients, we investigated the relationships between self-reported PT, clinical symptom subtypes, and resting-state functional connectivity measures of local and global connectivity. Results indicated that PT scores were highly variable within the OCD sample, with greater PT relating to higher severity of the "unacceptable thoughts" symptom dimension. PT was positively related to local connectivity in subgenual anterior cingulate cortex (ACC), pregenual ACC, and the temporal poles-areas that are part of, or closely linked to, the default mode network (DMN)-and negatively related to local connectivity in sensorimotor cortex. While the majority of patients showed higher local connectivity strengths in sensorimotor compared to DMN regions, OCD patients with higher PT scores had less of an imbalance between sensorimotor and DMN connectivity than those with lower PT scores, with healthy controls exhibiting an intermediate pattern. Clinically, this imbalance was related to both the "unacceptable thoughts" and "symmetry/not-just-right-experiences" symptom dimensions, but in opposite directions. These effects remained significant after accounting for variance related to psychiatric comorbidity and medication use in the OCD sample, and no significant relationships were found between PT and global connectivity. These data indicate that PT is related to symptom and neural variability in OCD. Future work may wish to target this circuity when developing personalized interventions for patients with these symptoms.
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Affiliation(s)
- Emily R. Stern
- grid.240324.30000 0001 2109 4251Department of Psychiatry, New York University Grossman School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Goi Khia Eng
- grid.240324.30000 0001 2109 4251Department of Psychiatry, New York University Grossman School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Alessandro S. De Nadai
- grid.264772.20000 0001 0682 245XDepartment of Psychology, Texas State University, San Marcos, TX USA
| | - Dan V. Iosifescu
- grid.240324.30000 0001 2109 4251Department of Psychiatry, New York University Grossman School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Russell H. Tobe
- grid.250263.00000 0001 2189 4777Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Katherine A. Collins
- grid.250263.00000 0001 2189 4777Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY USA
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10
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Qing X, Gu L, Li D. Abnormalities of Localized Connectivity in Obsessive-Compulsive Disorder: A Voxel-Wise Meta-Analysis. Front Hum Neurosci 2021; 15:739175. [PMID: 34602998 PMCID: PMC8481585 DOI: 10.3389/fnhum.2021.739175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 08/26/2021] [Indexed: 01/20/2023] Open
Abstract
Background: A large amount of resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed abnormalities of regional homogeneity (ReHo, an index of localized intraregional connectivity) in the obsessive-compulsive disorder (OCD) in the past few decades, However, the findings of these ReHo studies have remained inconsistent. Hence, we performed a meta-analysis to investigate the concurrence across ReHo studies for clarifying the most consistent localized connectivity underpinning this disorder. Methods: A systematic review of online databases was conducted for whole-brain rs-fMRI studies comparing ReHo between OCD patients and healthy control subjects (HCS). Anisotropic effect size version of the seed-based d mapping, a voxel-wise meta-analytic approach, was adopted to explore regions of abnormal ReHo alterations in OCD patients relative to HCS. Additionally, meta-regression analyses were conducted to explore the potential effects of clinical features on the reported ReHo abnormalities. Results: Ten datasets comprising 359 OCD patients and 361 HCS were included. Compared with HCS, patients with OCD showed higher ReHo in the bilateral inferior frontal gyri and orbitofrontal cortex (OFC). Meanwhile, lower ReHo was identified in the supplementary motor area (SMA) and bilateral cerebellum in OCD patients. Meta-regression analysis demonstrated that the ReHo in the OFC was negatively correlated with illness duration in OCD patients. Conclusions: Our meta-analysis gave a quantitative overview of ReHo findings in OCD and demonstrated that the most consistent localized connectivity abnormalities in individuals with OCD are in the prefrontal cortex. Meanwhile, our findings provided evidence that the hypo-activation of SMA and cerebellum might be associated with the pathophysiology of OCD.
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Affiliation(s)
- Xiuli Qing
- Department of Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children in Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Li Gu
- Department of Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children in Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Dehua Li
- Nursing Department, West China Second University Hospital, Sichuan University, Chengdu, China
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11
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Altered Functional Connectivity Strength at Rest in Medication-Free Obsessive-Compulsive Disorder. Neural Plast 2021; 2021:3741104. [PMID: 34539777 PMCID: PMC8443365 DOI: 10.1155/2021/3741104] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 07/25/2021] [Accepted: 08/17/2021] [Indexed: 11/25/2022] Open
Abstract
Background Previous studies explored the whole-brain functional connectome using the degree approach in patients with obsessive-compulsive disorder (OCD). However, whether the altered degree values can be used to discriminate OCD from healthy controls (HCs) remains unclear. Methods A total of 40 medication-free patients with OCD and 38 HCs underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Data were analyzed with the degree approach and a support vector machine (SVM) classifier. Results Patients with OCD showed increased degree values in the left thalamus and left cerebellum Crus I and decreased degree values in the left dorsolateral prefrontal cortex, right precuneus, and left postcentral gyrus. SVM classification analysis indicated that the increased degree value in the left thalamus is a marker of OCD, with an acceptable accuracy of 88.46%, sensitivity of 87.50%, and specificity of 89.47%. Conclusion Altered degree values within and outside the cortical-striatal-thalamic-cortical (CSTC) circuit may cocontribute to the pathophysiology of OCD. Increased degree values of the left thalamus can be used as a future marker for OCD understanding-classification.
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12
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Gilbert KE, Wheelock MD, Kandala S, Eggebrecht AT, Luby JL, Barch DM. Associations of observed preschool performance monitoring with brain functional connectivity in adolescence. Cortex 2021; 142:15-27. [PMID: 34174721 PMCID: PMC8405590 DOI: 10.1016/j.cortex.2021.05.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 04/12/2021] [Accepted: 05/18/2021] [Indexed: 10/21/2022]
Abstract
Monitoring one's performance helps detect errors and adapt to prevent future mistakes. However, elevated performance monitoring is associated with increased checking behaviors and perfectionism and is characteristic of multiple psychiatric disorders. Understanding how heightened performance monitoring in early childhood relates to subsequent brain connectivity may elucidate mechanistic risk factors that influence brain and psychiatric outcomes. The aim of this study was to examine the association between performance monitoring in preschool-aged children and functional connectivity during adolescence. In the current prospective longitudinal study, we performed seed-based functional connectivity analysis using a dorsal anterior cingulate cortex (dACC) seed to assess brain-behavior relationships between observationally coded performance monitoring in preschool-aged children and adolescent functional connectivity (n = 79). We also utilized enrichment analysis to investigate network-level connectome-wide associations. Seed-based analysis revealed negative correlations between preschool performance monitoring and adolescent fc between dACC and orbitofrontal and dorsolateral prefrontal cortex while a positive correlation was observed between dACC-occipital cortex connectivity. Enrichment analysis revealed a negative correlation between preschool performance monitoring and connectivity between motor (MOT) - cingulo-opercular (CO) and salience (SN) - Reward (REW) and a positive correlation with MOT-DMN, and cerebellum (CB) - motor connectivity. Elevated performance monitoring in early childhood is associated with functional connectivity during adolescence in regions and networks associated with cognitive control, sensorimotor processing and cortico-striatal-thalamic-cortico (CTSC) aberrations. These regions and networks are implicated in psychiatric disorders characterized by elevated performance monitoring. Findings shed light on a mechanistic risk factor in early childhood with long-term associations with neural functioning.
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Affiliation(s)
- Kirsten E Gilbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Muriah D Wheelock
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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13
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Engeln M, Song Y, Chandra R, La A, Fox ME, Evans B, Turner MD, Thomas S, Francis TC, Hertzano R, Lobo MK. Individual differences in stereotypy and neuron subtype translatome with TrkB deletion. Mol Psychiatry 2021; 26:1846-1859. [PMID: 32366954 PMCID: PMC8480032 DOI: 10.1038/s41380-020-0746-0] [Citation(s) in RCA: 15] [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: 05/16/2019] [Revised: 04/09/2020] [Accepted: 04/20/2020] [Indexed: 12/16/2022]
Abstract
Motor stereotypies occurring in early-onset neuropsychiatric diseases are associated with dysregulated basal ganglia direct-pathway activity. Disruptions in network connectivity through impaired neuronal structure have been implicated in both rodents and humans. However, the neurobiological mechanisms leading to direct-pathway neuron disconnectivity in stereotypy remain poorly understood. We have a mouse line with Tropomyosin receptor kinase B (TrkB) receptor deletion from D1-expressing cells (D1-Cre-flTrkB) in which a subset of animals shows repetitive rotations and head tics with juvenile onset. Here we demonstrate these behaviors may be associated with abnormal direct-pathway activity by reducing rotations using chemogenetic inhibition of dorsal striatum D1-medium spiny neurons (D1-MSNs) in both juvenile and young-adult mice. Taking advantage of phenotypical differences in animals with similar genotypes, we then interrogated the D1-MSN specific translatome associated with repetitive behavior by using RNA sequencing of ribosome-associated mRNA. Detailed translatome analysis followed by multiplexed gene expression assessment revealed profound alterations in neuronal projection and synaptic structure related genes in stereotypy mice. Examination of neuronal morphology demonstrated dendritic atrophy and dendritic spine loss in dorsal striatum D1-MSNs from mice with repetitive behavior. Together, our results uncover phenotype-specific molecular alterations in D1-MSNs that relate to morphological adaptations in mice displaying stereotypy behavior.
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Affiliation(s)
- Michel Engeln
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yang Song
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ramesh Chandra
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ashley La
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Megan E. Fox
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Brianna Evans
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Makeda D. Turner
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shavin Thomas
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - T. Chase Francis
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ronna Hertzano
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA., Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA., Department of Otorhinolaryngology Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mary Kay Lobo
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA.
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14
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Li K, Zhang H, Wang B, Yang Y, Zhang M, Li W, Li X, Lv L, Zhao J, Zhang H. Hippocampal functional network: The mediating role between obsession and anxiety in adult patients with obsessive-compulsive disorder. World J Biol Psychiatry 2020; 21:685-695. [PMID: 32174208 DOI: 10.1080/15622975.2020.1733082] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVES Anxiety is a very common symptom and closely related to obsessive-compulsive symptoms in obsessive-compulsive disorder (OCD). However, the association between anxiety and obsessive-compulsive symptoms at the hippocampus network level remains unclear. METHODS This study enrolled 42 patients with OCD and 42 healthy controls (HCs), who underwent resting-state functional magnetic resonance imaging (fMRI) and clinical evaluation. Multiple linear regression analysis was performed to investigate the behavioural significance and interactive effects of obsessive-compulsive and anxiety symptoms on the hippocampus functional connectivity (HFC). The mediation analysis model was used to explore whether the hippocampus functional connectivity (FC) network indirectly mediated the relationship between obsessive-compulsive symptoms and anxiety. RESULTS Results showed that the FCs with the cerebellum, middle temporal gyrus (MTG) and anterior cingulate gyrus (ACG) were increased in the hippocampus FC network in patients with OCD compared with those in HCs. The regions of interactive effects between anxiety and obsession, which are mainly located in the prefrontal cortex and MTG, were positively correlated. The mediation effect is 0.018 between obsession and anxiety on the HFC networks in patients with OCD. CONCLUSIONS The FC between the hippocampus and MTG plays a key role in the relationship between anxiety and obsession.
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Affiliation(s)
- Kun Li
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, P. R. China
| | - Haisan Zhang
- Department of Radiology, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, P. R. China
| | - Bi Wang
- Department of Radiology, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, P. R. China
| | - Yongfeng Yang
- Henan Key Lab of Biological Psychiatry, Xinxiang, P. R. China
| | - Meng Zhang
- School of Psychology, Xinxiang Medical University, Xinxiang, P. R. China
| | - Wenqiang Li
- Henan Key Lab of Biological Psychiatry, Xinxiang, P. R. China
| | - Xianrui Li
- School of Psychology, Xinxiang Medical University, Xinxiang, P. R. China
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, P. R. China.,Henan Key Lab of Biological Psychiatry, Xinxiang, P. R. China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, P. R. China.,Henan Key Lab of Biological Psychiatry, Xinxiang, P. R. China.,School of Psychology, Xinxiang Medical University, Xinxiang, P. R. China
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15
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Lin X, Zhen D, Li H, Zhong J, Dai Z, Yuan C, Pan P. Altered local connectivity in chronic pain: A voxel-wise meta-analysis of resting-state functional magnetic resonance imaging studies. Medicine (Baltimore) 2020; 99:e21378. [PMID: 32756127 PMCID: PMC7402869 DOI: 10.1097/md.0000000000021378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND A number of studies have used regional homogeneity (ReHo) to depict local functional connectivity in chronic pain (CP). However, the findings from these studies were mixed and inconsistent. METHODS A computerized literature search will be performed in PubMed, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), WanFang, and SinoMed databases until June 15, 2019 and updated on March 20, 2020. This protocol will follow the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P). The Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) software will be used for this voxel-wise meta-analysis. RESULTS This meta-analysis will identify the most consistent ReHo alterations in CP. CONCLUSIONS To our knowledge, this will be the first voxel-wise meta-analysis that integrates ReHo findings in CP. This meta-analysis will offer the quantitative evidence of ReHo alterations that characterize brain local functional connectivity of CP. PROSPERO REGISTRATION NUMBER CRD42019148523.
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Affiliation(s)
- XiaoGuang Lin
- Department of Neurology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, Jiangsu
| | - Dan Zhen
- Jiangsu Vocational College of Medicine
| | | | | | | | - CongHu Yuan
- Department of Anesthesia and Pain Management
| | - PingLei Pan
- Department of Neurology
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, P.R. China
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16
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The functional connectivity profile of tics and obsessive-compulsive symptoms in Tourette Syndrome. J Psychiatr Res 2020; 123:128-135. [PMID: 32065948 DOI: 10.1016/j.jpsychires.2020.01.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/24/2020] [Accepted: 01/29/2020] [Indexed: 11/24/2022]
Abstract
Tourette Syndrome (TS) is characterized by the presence of tics and sensory phenomena, such as premonitory urges, and is often accompanied by significant obsessive-compulsive symptoms (OCS). The goal of this exploratory study was to determine the association between functional connectivity and the different symptom domains of TS, as little is currently known about how they differ. Resting-state functional magnetic resonance imaging was performed in 39 patients with TS and 20 matched healthy controls. Seed-based functional connectivity of the supplementary motor area (SMA), orbitofrontal cortex (OFC), insula, caudate and putamen were compared between the groups, and correlated with clinical measures within the patient group. When compared to controls, patients with TS exhibited greater connectivity between the temporal gyri, insula and putamen, and between the OFC and cingulate cortex. Tic severity was associated with greater connectivity between the putamen and the sensorimotor cortex; OCS severity was associated with less connectivity between the SMA and thalamus and between the caudate and precuneus; and premonitory urge severity was associated with less connectivity between the OFC and sensorimotor cortex and between the inferior frontal gyrus and the putamen and insula seeds. Functional connectivity within sensorimotor processing regions were associated with all of the investigated symptom domains, including OCS, suggesting dysfunctions in the sensorimotor system may explain most of the observed symptoms in TS, and not just tics.
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17
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Nazeer A, Latif F, Mondal A, Azeem MW, Greydanus DE. Obsessive-compulsive disorder in children and adolescents: epidemiology, diagnosis and management. Transl Pediatr 2020; 9:S76-S93. [PMID: 32206586 PMCID: PMC7082239 DOI: 10.21037/tp.2019.10.02] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Obsessive-compulsive disorder (OCD) can be found in about 4% of the general population and is characterized by various compulsions and obsessions that interfere with the person's quality of life from a mild to severe degree. The following discussion reflects on current concepts in this condition, including its epidemiology and etiologic underpinnings (behavioral, neurological, immunological, gastroenterological, as well as genetic). The interplay of PANS and PANDAS are included in this review. In addition, the core concepts of OCD diagnosis, differential diagnosis, and co-morbidities are considered. It is stressed that the quality of life for persons with pediatric OCD as well as for family members can be quite limited and challenged. Thus, principles of management are presented as a guide to improve the quality of life for these persons as much as possible.
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Affiliation(s)
- Ahsan Nazeer
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Sidra Medicine, Doha, Qatar
| | - Finza Latif
- Division of Psychiatry and Behavioral Sciences, George Washington University, Children's National Medical Center, Washington, DC, USA
| | - Aisha Mondal
- Division of Psychiatry and Behavioral Sciences, George Washington University, Children's National Medical Center, Washington, DC, USA
| | | | - Donald E Greydanus
- Department of Pediatric and Adolescent Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA
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18
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Szechtman H, Harvey BH, Woody EZ, Hoffman KL. The Psychopharmacology of Obsessive-Compulsive Disorder: A Preclinical Roadmap. Pharmacol Rev 2020; 72:80-151. [PMID: 31826934 DOI: 10.1124/pr.119.017772] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
This review evaluates current knowledge about obsessive-compulsive disorder (OCD), with the goal of providing a roadmap for future directions in research on the psychopharmacology of the disorder. It first addresses issues in the description and diagnosis of OCD, including the structure, measurement, and appropriate description of the disorder and issues of differential diagnosis. Current pharmacotherapies for OCD are then reviewed, including monotherapy with serotonin reuptake inhibitors and augmentation with antipsychotic medication and with psychologic treatment. Neuromodulatory therapies for OCD are also described, including psychosurgery, deep brain stimulation, and noninvasive brain stimulation. Psychotherapies for OCD are then reviewed, focusing on behavior therapy, including exposure and response prevention and cognitive therapy, and the efficacy of these interventions is discussed, touching on issues such as the timing of sessions, the adjunctive role of pharmacotherapy, and the underlying mechanisms. Next, current research on the neurobiology of OCD is examined, including work probing the role of various neurotransmitters and other endogenous processes and etiology as clues to the neurobiological fault that may underlie OCD. A new perspective on preclinical research is advanced, using the Research Domain Criteria to propose an adaptationist viewpoint that regards OCD as the dysfunction of a normal motivational system. A systems-design approach introduces the security motivation system (SMS) theory of OCD as a framework for research. Finally, a new perspective on psychopharmacological research for OCD is advanced, exploring three approaches: boosting infrastructure facilities of the brain, facilitating psychotherapeutic relearning, and targeting specific pathways of the SMS network to fix deficient SMS shut-down processes. SIGNIFICANCE STATEMENT: A significant proportion of patients with obsessive-compulsive disorder (OCD) do not achieve remission with current treatments, indicating the need for innovations in psychopharmacology for the disorder. OCD may be conceptualized as the dysfunction of a normal, special motivation system that evolved to manage the prospect of potential danger. This perspective, together with a wide-ranging review of the literature, suggests novel directions for psychopharmacological research, including boosting support systems of the brain, facilitating relearning that occurs in psychotherapy, and targeting specific pathways in the brain that provide deficient stopping processes in OCD.
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Affiliation(s)
- Henry Szechtman
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
| | - Brian H Harvey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
| | - Erik Z Woody
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
| | - Kurt Leroy Hoffman
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
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19
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Yang X, Luo J, Zhong Z, Yang X, Yao S, Wang P, Gao J, Liu R, Sun J, Li Z. Abnormal Regional Homogeneity in Patients With Obsessive-Compulsive Disorder and Their Unaffected Siblings: A Resting-State fMRI Study. Front Psychiatry 2019; 10:452. [PMID: 31316408 PMCID: PMC6609574 DOI: 10.3389/fpsyt.2019.00452] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 06/07/2019] [Indexed: 02/02/2023] Open
Abstract
Objective: Previous studies suggest that abnormal brain structure and function may be neuroimaging endophenotypes of obsessive-compulsive disorder (OCD). Comparing the intrinsic brain activity of OCD patients and their unaffected siblings will help to further understand the susceptibility to, and pathological mechanisms of, OCD. We used a case-control study design aiming to establish whether the abnormal regional homogeneity (ReHo) found in OCD patients also exists in their unaffected siblings. Method: Fifteen unmedicated OCD patients, 15 of their unaffected siblings, and 30 healthy controls (HCs) received resting-state functional magnetic resonance imaging (r-s fMRI) scanning and clinical evaluation. We used the ReHo method to analyze the inter-regional synchronized activity of all participants. One-way analysis of covariance with post hoc tests was used to compare the ReHo maps across groups. A Pearson correlation analysis was conducted to assess the correlations between clinical characteristics and abnormal ReHo in OCD patients. Results: Relative to HCs, OCD patients and their unaffected siblings showed overlapping higher ReHo values in the right dorsolateral prefrontal cortex (DLPFC). Patients with OCD showed increased ReHo in left middle frontal gyrus (MFG) relative to both their unaffected siblings and HCs. In addition to the right DLPFC and left MFG, OCD patients, compared with HCs, also showed abnormal ReHo in other regions, including higher ReHo in the right superior parietal cortex and lower ReHo in the left inferior parietal cortex, right parahippocampal region, left thalamus, and right inferior temporal cortex. Compared with HCs, the unaffected siblings of patients with OCD had significantly higher ReHo in the right inferior parietal cortex, right MFG, and right supplementary motor area. There was no association between clinical symptoms and abnormal ReHo values in OCD patients. Conclusions: This study found overlapping higher ReHo values in the right DLPFC of OCD patients and their unaffected siblings. Our results suggest that the higher ReHo in the right DLPFC may be a potential neuroimaging endophenotype, which may reflect an increased genetic risk of OCD.
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Affiliation(s)
- Xiangyun Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Luo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaoxi Zhong
- Henan Key Lab of Biological Psychiatry, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Xiaojie Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Shumin Yao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Pengchong Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jian Gao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Sun
- School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Zhanjiang Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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