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Regulatory considerations for the clinical and research use of transcranial direct current stimulation (tDCS): Review and recommendations from an expert panel

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Clinical Research and Regulatory Affairs 2015年第1期32卷 22-35页

作者： Fregni, F. Nitsche, M.A. Loo, C.K. Brunoni, A.R. Marangolo, P. Leite, J. Carvalho, S. Bolognini, N. Caumo, W. Paik, N.J. Simis, M. Ueda, K. Ekhtiari, H. Luu, P. Tucker, D.M. Tyler, W.J. Brunelin, J. Datta, A. Juan, C.H. Venkatasubramanian, G. Boggio, P.S. Bikson, M. Spaulding Neuromodulation Center Spaulding Rehabilitation Hospital Harvard Medical School Boston MA United States Department of Clinical Neurophysiology Georg-August-University Göttingen Germany School of Psychiatry Black Dog Institute University of New South Wales Sydney Australia Service of Interdisciplinary Neuromodulation Department and Institute of Psychiatry University of São Paulo São Paulo Brazil Department of Experimental and Clinical Medicine University Politecnica Delle Marche Ancona IRCCS Fondazione Santa Lucia Rome Italy School of Psychology (EPsi) University of Minho Campus de Gualtar Braga Portugal Department of Psychology University of Milano Bicocca Milan Italy Laboratory of Neuropsychology IRCC Instituto Auxologico Italiano Milan Italy Laboratory of Pain and Neuromodulation Hospital de Clínicas de Porto Alegre UFRGS Porto Alegre Brazil Department of Rehabilitation Medicine Seoul National University College of Medicine Seoul National University Bundang Hospital Seoul South Korea Institute of Physical Medicine and Rehabilitation Clinics Hospital University of Sao Paulo Medical School Sao Paolo Brazil Division of Neurology Santa Casa Medical School Sao Paulo Brazil National Cardiovascular Center Osaka Japan Translational Neuroscience Program Institute for Cognitive Science Studies Tehran Iran Neurocognitive Laboratory Iranian National Center for Addiction Studies Tehran University of Medical Sciences Tehran Iran Electrical Geodesics Inc. University of Oregon Eugene OR United States Virginia Tech Carilion Research Institute Department of Psychiatry and Behavioral Medicine School of Biomedical Engineering and Sciences Roanoke VA United States EA 4615 Centre Hospitalier le Vinatier Université de Lyon Bron F-69003 France Department of Biomedical Engineering Neural Engineering Laboratory City College of the City University of New York New York NY United States Institute of Cognitive Neuroscience National Central University Taiw

The field of transcranial electrical stimulation (tES) has experienced significant growth in the past 15 years. One of the tES techniques leading this increased interest is transcranial direct current stimulation (tDCS). Significant research efforts have been devoted to determining the clinical potential of tDCS in humans. Despite the promising results obtained with tDCS in basic and clinical neuroscience, further progress has been impeded by a lack of clarity on international regulatory pathways. Therefore, a group of research and clinician experts on tDCS were convened to review the research and clinical use of tDCS. This report reviews the regulatory status of tDCS and summarizes the results according to research, off-label, and compassionate use of tDCS in the following countries: Australia, Brazil, France, Germany, India, Iran, Italy, Portugal, South Korea, Taiwan, and the US. Research use, off label treatment, and compassionate use of tDCS are employed in most of the countries reviewed in this study. It is critical that a global or local effort is organized to pursue definite evidence to either approve and regulate or restrict the use of tDCS in clinical practice on the basis of adequate randomized controlled treatment trials. © 2014 Informa Healthcare USA, Inc. All rights reserved.

关键词： Regulatory Safety TDCS

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Author Correction: Kalium channelrhodopsins effectively inhibit neurons

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Nature communications 2024年第1期15卷 6088页

作者： Stanislav Ott Sangyu Xu Nicole Lee Ivan Hong Jonathan Anns Danesha Devini Suresh Zhiyi Zhang Xianyuan Zhang Raihanah Harion Weiying Ye Vaishnavi Chandramouli Suresh Jesuthasan Yasunori Saheki Adam Claridge-Chang Program in Neuroscience and Behavioral Disorders Duke-NUS Medical School Singapore Singapore. Institute for Molecular and Cell Biology A*STAR Agency for Science Technology and Research Singapore Singapore. School of Biological Sciences and Institute for Life Sciences University of Southampton Southampton UK. Lee Kong Chian School of Medicine Nanyang Technological University Singapore Singapore. Department of Pharmacy National University of Singapore Singapore Singapore. Program in Neuroscience and Behavioral Disorders Duke-NUS Medical School Singapore Singapore. claridge-chang.adam@duke-nus.edu.sg. Institute for Molecular and Cell Biology A*STAR Agency for Science Technology and Research Singapore Singapore. claridge-chang.adam@duke-nus.edu.sg. Department of Physiology National University of Singapore Singapore Singapore. claridge-chang.adam@duke-nus.edu.sg.

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Validity and Reliability of the Digital Functioning Assessment Short Test (D-FAST) in the Brazilian Sample

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Clinical Practice and Epidemiology in Mental Health 2022年第1期18卷

作者： Serafim, Silvia Dubou Goularte, Jeferson Ferraz Caldieraro, Marco Antonio Lima, Flavia Moreira Dalpiaz, Giovana Rabelo-da-Ponte, Francisco Diego Torrent, Carla Solé, Brisa Vieta, Eduard Rosa, Adriane Ribeiro Laboratory of Molecular Psychiatry Hospital de Clínicas de Porto Alegre University Federal of Rio Grande do Sul Rio Grande do Sul RS Porto Alegre Brazil Postgraduate Program in Psychiatry and Behavioral Sciences University Federal of Rio Grande do Sul RS Porto Alegre Brazil Hospital de Clínicas de Porto Alegre University Federal of Rio Grande do Sul Rio Grande do Sul RS Porto Alegre Brazil Bipolar and Depressive Disorders Unit Hospital Clinic University of Barcelona Institute of Neuroscience IDIBAPS CIBERSAM c/Villarroel 170 12-0 Catalonia Barcelona 08036 Spain Departament of Pharmacology Institute of Basic Health Sciences Federal University of Rio Grande do Sul RS Porto Alegre Brazil

Background: The COVID-19 pandemic has caused major disruptions in all aspects of daily functioning, from school and work to interactions with friends and family. The Functioning Assessment Short Test (FAST) is an interviewer-administered scale validated in the psychiatric sample with no previous study assessing its validity and reliability in a digital format. Thus, we aimed to analyse the psychometric properties of the digital version of the FAST and understand the implications of COVID-19 and restrictive measures on functioning. Methods: Data were collected using an online survey. The psychometric properties of the digital FAST were assessed by confirmatory factor analysis, Cronbach’s alpha, and discriminant functional by cluster analysis in a community sample. Results: Out of the total sample, 2,543 (84.1%) were female, and the mean (SD) age was 34.28 (12.46) years. The digital FAST retained the six factors structure observed in the original version, with Cronbach’s alpha above 0.9. In addition, we showed evidence of discriminant validity by differentiating three clusters of psychosocial functioning. Clinical and demographic differences between groups explained, in part, the heterogeneity of functioning, thus providing support for the construct validity of the instrument. Conclusion: The digital FAST is a simple and easy-to-understand instrument that provides a multidimensional assessment of functioning without the need for an interviewer. Furthermore, our findings may help to better understand the psychosocial implications of the pandemic and the importance of planning specific interventions to rehabilitee the affected group. © 2022 Serafim et al.

关键词： COVID-19 Deaths Pandemic Psychosocial implications Public health Virus transmission

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Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium

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Biological Psychiatry: Cognitive neuroscience and Neuroimaging 2022年第9期7卷 935-948页

作者： Sun, Delin Rakesh, Gopalkumar Clarke-Rubright, Emily K. Haswell, Courtney C. Logue, Mark W. Cotton, Andrew S. Xie, Hong Dennis, Emily L. Jahanshad, Neda Salminen, Lauren E. Thomopoulos, Sophia I. Rashid, Faisal M. Ching, Christopher R.K. Koch, Saskia B.J. Frijling, Jessie L. Nawijn, Laura van Zuiden, Mirjam Zhu, Xi Suarez-Jimenez, Benjamin Sierk, Anika Walter, Henrik Manthey, Antje Stevens, Jennifer S. Fani, Negar van Rooij, Sanne J.H. Stein, Murray B. Bomyea, Jessica Koerte, Inga Choi, Kyle van der Werff, Steven J.A. Vermeiren, Robert R.J.M. Herzog, Julia I. Lebois, Lauren A.M. Baker, Justin T. Ressler, Kerry J. Olson, Elizabeth A. Straube, Thomas Korgaonkar, Mayuresh S. Andrew, Elpiniki Zhu, Ye Li, Gen Ipser, Jonathan Hudson, Anna R. Peverill, Matthew Sambrook, Kelly Gordon, Evan Baugh, Lee A. Forster, Gina Simons, Raluca M. Simons, Jeffrey S. Magnotta, Vincent A. Maron-Katz, Adi du Plessis, Stefan Disner, Seth G. Davenport, Nicholas D. Grupe, Dan Nitschke, Jack B. deRoon-Cassini, Terri A. Fitzgerald, Jacklynn Krystal, John H. Levy, Ifat Olff, Miranda Veltman, Dick J. Wang, Li Neria, Yuval De Bellis, Michael D. Jovanovic, Tanja Daniels, Judith K. Shenton, Martha E. van de Wee, Nic J.A. Schmahl, Christian Kaufman, Milissa L. Rosso, Isabelle M. Sponheim, Scott R. Hofmann, David Bernd Bryant, Richard A. Fercho, Kelene A. Stein, Dan J. Mueller, Sven C. Phan, K. Luan McLaughlin, Katie A. Davidson, Richard J. Larson, Christine May, Geoffrey Nelson, Steven M. Abdallah, Chadi G. Gomaa, Hassaan Etkin, Amit Seedat, Soraya Harpaz-Rotem, Ilan Liberzon, Israel Wang, Xin Thompson, Paul M. Morey, Rajendra A. Brain Imaging and Analysis Center Duke University Durham North Carolina Healthy Childhood Brain Development Developmental Traumatology Research Program Department of Psychiatry and Behavioral Sciences Duke University Durham North Carolina Department of Veteran Affairs Mid-Atlantic Mental Illness Research Education and Clinical Center Durham North Carolina Department of Psychiatry University of Toledo Toledo Ohio National Center for PTSD VA Boston Healthcare System Boston Massachusetts Department of Psychiatry Boston University School of Medicine Boston Massachusetts Biomedical Genetics Boston University School of Medicine Boston Massachusetts Department of Biostatistics Boston University School of Public Health Boston Massachusetts Psychiatry Neuroimaging Laboratory Brigham & Women's Hospital Boston Massachusetts Department of Psychiatry Harvard Medical School Boston Massachusetts Division of Depression and Anxiety Disorders McLean Hospital Harvard University Belmont Massachusetts Center for Depression Anxiety and Stress Research McLean Hospital Harvard University Belmont Massachusetts Division of Women's Mental Health McLean Hospital Harvard University Belmont Massachusetts Institute for Technology in Psychiatry McLean Hospital Harvard University Belmont Massachusetts VA Boston Healthcare System Brockton Division Brockton Massachusetts Department of Psychology Harvard University Cambridge Massachusetts Imaging Genetics Center Stevens Neuroimaging & Informatics Institute Keck School of Medicine of USC Marina del Rey California Stanford Neurodevelopment Affect and Psychopathology Laboratory Stanford California Department of Psychiatry and Behavioral Sciences Stanford University Stanford California Department of Psychiatry University of California San Diego San Diego California Health Services Research Center University of California San Diego San Diego California VA Palo Alto Health Care System Palo Alto California Department of Neurology U

Background: Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA). Methods: Neuroimaging and clinical data were aggregated from 29 research sites in >1300 PTSD cases and >2000 trauma-exposed control subjects (ages 6.2–85.2 years) by the ENIGMA-PGC (Enhancing Neuro Imaging Genetics through Meta Analysis–Psychiatric Genomics Consortium) PTSD working group. Cortical regions in the network were rank ordered by the effect size of PTSD-related cortical differences in CT and SA. The top-n (n = 2–148) regions with the largest effect size for PTSD > non-PTSD formed hypertrophic networks, the largest effect size for PTSD < non-PTSD formed atrophic networks, and the smallest effect size of between-group differences formed stable networks. The mean structural covariance (SC) of a given n-region network was the average of all positive pairwise correlations and was compared with the mean SC of 5000 randomly generated n-region networks. Results: Patients with PTSD, relative to non-PTSD control subjects, exhibited lower mean SC in CT-based and SA-based atrophic networks. Comorbid depression, sex, and age modulated covariance differences of PTSD-related structural networks. Conclusions: Covariance of structural networks based on CT and cortical SA are affected by PTSD and further modulated by comorbid depression, sex, and age. The SC networks that are perturbed in PTSD comport with converging evidence from resting-state functional connectivity networks and networks affected by inflammatory processes and stress hormones in PTSD. © 2022 Society of Biological Psychiatry

关键词： Brain network Cortical thickness Depression PTSD Structural covariance Surface area

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Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information (vol 91, pg 626, 2022)

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BIOLOGICAL PSYCHIATRY 2022年第7期91卷 690-690页

作者： Maihofer, Adam X. Vinkers, Christiaan H. Department of Psychiatry University of California San Diego La Jolla California Department of Family Medicine and Public Health University of California San Diego La Jolla California Center of Excellence for Stress and Mental Health Veterans Affairs Healthcare System San Diego California. Electronic address: amaihofer@health.ucsd.edu. Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts Department of Psychiatry Massachusetts General Hospital Boston Massachusetts. Social Genetic and Developmental Psychiatry Centre Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom National Institute of Health Research Maudsley Biomedical Research Centre King's College London London United Kingdom. Department of Psychiatry Harvard Medical School Boston Massachusetts Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge Massachusetts Center of Excellence in Depression and Anxiety Disorders Belmont Massachusetts. Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge Massachusetts. Department of Psychiatry University of California San Diego La Jolla California Center of Excellence for Stress and Mental Health Veterans Affairs Healthcare System San Diego California Research Service Veterans Affairs Healthcare System San Diego California. Duke Molecular Physiology Institute Duke University School of Medicine Durham North Carolina. Department of Psychiatry Veterans Affairs Connecticut Healthcare System West Haven Connecticut Department of Psychiatry Yale University School of Medicine New Haven Connecticut. Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts Department of Epidemiology Columbia University Mailman School of Public Health New York. Division of Mental Health Atlanta Veterans Affairs Medical Center

BACKGROUND: Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs). METHODS: A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran program GWAS of PTSD total symptoms. RESULTS: GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran program. CONCLUSIONS: Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.

关键词： GWAS Genetics Heritability PTSD PheWAS Trauma

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Correction to: Effects of low-intensity training on the brain and muscle in the congenital muscular dystrophy 1D model

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Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 2022年第11期43卷 6613页

作者： Clarissa M Comim Jaime A Soares Adriano Alberti Viviane Freiberger Letícia Ventura Paula Dias Aryadnne L Schactae Leoberto R Grigollo Amanda V Steckert Daniel F Martins Rudy J Nodari Junior Mariz Vainzof João Quevedo Research Group in Neurodevelopment of Childhood and Adolescence Laboratory of Experimental Neuroscience Postgraduate Program in Health Sciences University of South Santa Catarina (UNISUL) Avenida Pedra Branca 25 Pedra Branca Palhoça SC 88137‑270 Brazil. Research Group in Neurodevelopment of Childhood and Adolescence Laboratory of Experimental Neuroscience Postgraduate Program in Health Sciences University of South Santa Catarina (UNISUL) Avenida Pedra Branca 25 Pedra Branca Palhoça SC 88137‑270 Brazil. adrianoalberti90@***. Translational Psychiatry Laboratory Graduate Program in Health Sciences University of Southern Santa Catarina (UNESC) Criciúma SC Brazil. Research Department Salus Dermatoglifia Luzerna 89609‑000 Santa Catarina Brazil. Human Genome Research Center Biosciences Institute University of São Paulo São Paulo Brazil. Center of Excellence On Mood Disorders Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA. Neuroscience Graduate Program The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Houston TX USA. Translational Psychiatry Program Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA.

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Hepatic circadian clock oscillators and nuclear receptors integrate microbiome-derived signals (vol 6, 20127, 2016)

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SCIENTIFIC REPORTS 2016年第1期6卷 20127-20127页

作者： Montagner, Alexandra Korecka, Agata Polizzi, Arnaud Lippi, Yannick Blum, Yuna Canlet, Cecile Tremblay-Franco, Marie Gautier-Stein, Amandine Burcelin, Remy Yen, Yi-Chun Je, Hyunsoo Shawn Al-Asmakh, Maha Mithieux, Gilles Arulampalam, Velmurugesan Lagarrigue, Sandrine Guillou, Herve Pettersson, Sven Wahli, Walter INRA ToxAlim UMR1331 Chemin de Tournefeuille Toulouse Cedex France Department of Microbiology Tumor and Cell Biology (MTC) Karolinska Institutet Stockholm Sweden INRA ToxAlim UMR1331 Chemin de Tournefeuille Toulouse Cedex France INRA ToxAlim UMR1331 Chemin de Tournefeuille Toulouse Cedex France Department of Medicine Division of Cardiology UCLA Los Angeles USA INRA ToxAlim UMR1331 Chemin de Tournefeuille Toulouse Cedex France INRA ToxAlim UMR1331 Chemin de Tournefeuille Toulouse Cedex France Institut National de la Santé et de la Recherche Médicale U855 Lyon France Institut des Maladies Métaboliques et Cardiovasculaires Hôpital Rangueil Toulouse Cedex France Molecular Neurophysiology Laboratory Signature Program in Neuroscience and Behavioral Disorders Duke-NUS Graduate Medical School Singapore Singapore Department of Physiology Yong Loo Lin School of Medicine National University of Singapore Singapore Molecular Neurophysiology Laboratory Signature Program in Neuroscience and Behavioral Disorders Duke-NUS Graduate Medical School Singapore Singapore Department of Physiology Yong Loo Lin School of Medicine National University of Singapore Singapore Department of Microbiology Tumor and Cell Biology (MTC) Karolinska Institutet Stockholm Sweden Department of Health Sciences College of Arts and Sciences Qatar University Daha Qatar Institut National de la Santé et de la Recherche Médicale U855 Lyon France Department of Microbiology Tumor and Cell Biology (MTC) Karolinska Institutet Stockholm Sweden INRA UMR1348 Pegase Saint-Gilles France Agrocampus Ouest UMR1348 Pegase France Rennes Université Européenne de Bretagne France INRA ToxAlim UMR1331 Chemin de Tournefeuille Toulouse Cedex France Department of Microbiology Tumor and Cell Biology (MTC) Karolinska Institutet Stockholm Sweden Lee Kong Chian School of Medicine Nanyang Technological University Singapore Singapore SCELSE microbiome centre Nanyang Technological University Singapore Singa

The liver is a key organ of metabolic homeostasis with functions that oscillate in response to food intake. Although liver and gut microbiome crosstalk has been reported, microbiome-mediated effects on peripheral circadian clocks and their output genes are less well known. Here, we report that germ-free (GF) mice display altered daily oscillation of clock gene expression with a concomitant change in the expression of clock output regulators. Mice exposed to microbes typically exhibit characterized activities of nuclear receptors, some of which (PPARα, LXRβ) regulate specific liver gene expression networks, but these activities are profoundly changed in GF mice. These alterations in microbiome-sensitive gene expression patterns are associated with daily alterations in lipid, glucose, and xenobiotic metabolism, protein turnover, and redox balance, as revealed by hepatic metabolome analyses. Moreover, at the systemic level, daily changes in the abundance of biomarkers such as HDL cholesterol, free fatty acids, FGF21, bilirubin, and lactate depend on the microbiome. Altogether, our results indicate that the microbiome is required for integration of liver clock oscillations that tune output activators and their effectors, thereby regulating metabolic gene expression for optimal liver function.

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Corrigendum to Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM): Study Design and Treatment Characteristics of the First 396 Participants Randomized. Am J Geriatr Psychiatry 2019;27(10):1138-1152. doi: 10.1016/***.2019.04.005

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The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry 2023年第6期31卷 472-473页

作者： Pilar Cristancho Emily Lenard Eric J Lenze J Philip Miller Patrick J Brown Steven P Roose Carolina Montes-Garcia Daniel M Blumberger Benoit H Mulsant Helen Lavretsky Bruce L Rollman Charles F Reynolds Jordan F Karp Department of Psychiatry (PC EL EJL) Healthy Mind Lab School of Medicine Washington University in St. Louis St. Louis MI. Electronic address: cristanchopimiento.l@psychiatry.wustl.edu. Department of Psychiatry (PC EL EJL) Healthy Mind Lab School of Medicine Washington University in St. Louis St. Louis MI. The Division of Biostatistics (JPM) School of Medicine Washington University in St. Louis St. Louis MI. The Department of Geriatric Psychiatry (PJB SPR CMG) Program on Healthy Aging and Late Life Brain Disorders New York State Psychiatric Institute Columbia University Medical Center New York NY. The Centre for Addiction and Mental Health and Department of Psychiatry (DMB BHM) University of Toronto Toronto Ontario Canada. The Semel Institute for Neuroscience and Human Behavior (HL) University of California Los Angeles Los Angeles CA. The Department of Medicine and Center for Behavioral Health and Smart Technology (BLR) University of Pittsburgh School of Medicine Pittsburgh PA. The Department of Psychiatry (CFR JFK) University of Pittsburgh School of Medicine Pittsburgh PA.

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A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

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NATURE neuroscience 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology 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 Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

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Corrigendum to "Early life neuroimmune challenge protects the brain after sepsis in adult rats" [Neurochem. Int. 2020 May 135 104712]

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Neurochemistry international 2020年 137卷 104732页

作者： Drielly Florentino Amanda Della Giustina Mariana Pereira de Souza Goldim Lucineia Gainski Danielski Aloir Neri de Oliveira Junior Larissa Joaquim Sandra Bonfante Erica Biehl Naiana da Rosa Deisy Fernandes Fernanda Frederico Gava Monique Michels Jucelia Jeremias Fortunato Gislaine Zilli Réus Samira Silva Valvassori Joao Quevedo Felipe Dal-Pizzol Tatiana Barichello Fabricia Petronilho Laboratory of Neurobiology of Inflammatory and Metabolic Processes Graduate Program in Health Sciences Health Sciences Unit University of South Santa Catarina (UNISUL) Tubarão SC Brazil. Translational Psychiatry Laboratory Graduate Program in Health Sciences University of Southern Santa Catarina (UNESC) Criciúma SC Brazil. Laboratory of Experimental Pathophysiology Graduate Program in Health Sciences Health Sciences Unit University of Southern Santa Catarina (UNESC) Criciúma Santa Catarina Brazil. Translational Psychiatry Laboratory Graduate Program in Health Sciences University of Southern Santa Catarina (UNESC) Criciúma SC Brazil Center of Excellence on Mood Disorders Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA Neuroscience Graduate Program The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Houston TX USA Translational Psychiatry Program Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA. Laboratory of Experimental Pathophysiology Graduate Program in Health Sciences Health Sciences Unit University of Southern Santa Catarina (UNESC) Criciúma Santa Catarina Brazil Center of Excellence on Mood Disorders Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA. Laboratory of Neurobiology of Inflammatory and Metabolic Processes Graduate Program in Health Sciences Health Sciences Unit University of South Santa Catarina (UNISUL) Tubarão SC Brazil. Electronic address: Fabricia.petronilho@unisul.br.

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