Abstract
Original language | English |
---|---|
Pages (from-to) | 673-681 |
Number of pages | 9 |
Journal | Nature Neuroscience |
Volume | 26 |
Issue number | 4 |
DOIs | |
Publication status | Published - Apr 2023 |
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In: Nature Neuroscience, Vol. 26, No. 4, 04.2023, p. 673-681.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - A consensus protocol for functional connectivity analysis in the rat brain
AU - Grandjean, Joanes
AU - Desrosiers-Gregoire, Gabriel
AU - Anckaerts, Cynthia
AU - Angeles-Valdez, Diego
AU - Ayad, Fadi
AU - Barrière, David A.
AU - Blockx, Ines
AU - Bortel, Aleksandra
AU - Broadwater, Margaret
AU - Cardoso, Beatriz M.
AU - Célestine, Marina
AU - Chavez-Negrete, Jorge E.
AU - Choi, Sangcheon
AU - Christiaen, Emma
AU - Clavijo, Perrin
AU - Colon-Perez, Luis
AU - Cramer, Samuel
AU - Daniele, Tolomeo
AU - Dempsey, Elaine
AU - Diao, Yujian
AU - Doelemeyer, Arno
AU - Dopfel, David
AU - Dvořáková, Lenka
AU - Falfán-Melgoza, Claudia
AU - Fernandes, Francisca F.
AU - Fowler, Caitlin F.
AU - Fuentes-Ibañez, Antonio
AU - Garin, Clément
AU - Gelderman, Eveline
AU - Golden, Carla E.M.
AU - Guo, Chao C.G.
AU - Henckens, Marloes J.A.G.
AU - Hennessy, Lauren A.
AU - Herman, Peter
AU - Hofwijks, Nita
AU - Horien, Corey
AU - Ionescu, Tudor M.
AU - Jones, Jolyon
AU - Kaesser, Johannes
AU - Kim, Eugene
AU - Lambers, Henriette
AU - Lazari, Alberto
AU - Lee, Sung Ho
AU - Lillywhite, Amanda
AU - Liu, Yikang
AU - Liu, Yanyan Y.
AU - López -Castro, Alejandra
AU - López-Gil, Xavier
AU - Ma, Zilu
AU - MacNicol, Eilidh
AU - Madularu, Dan
AU - Mandino, Francesca
AU - Marciano, Sabina
AU - McAuslan, Matthew J.
AU - McCunn, Patrick
AU - McIntosh, Alison
AU - Meng, Xianzong
AU - Meyer-Baese, Lisa
AU - Missault, Stephan
AU - Moro, Federico
AU - Naessens, Daphne M.P.
AU - Nava-Gomez, Laura J.
AU - Nonaka, Hiroi
AU - Ortiz, Juan J.
AU - Paasonen, Jaakko
AU - Peeters, Lore M.
AU - Pereira, Mickaël
AU - Perez, Pablo D.
AU - Pompilus, Marjory
AU - Prior, Malcolm
AU - Rakhmatullin, Rustam
AU - Reimann, Henning M.
AU - Reinwald, Jonathan
AU - Del Rio, Rodrigo Triana
AU - Rivera-Olvera, Alejandro
AU - Ruiz-Pérez, Daniel
AU - Russo, Gabriele
AU - Rutten, Tobias J.
AU - Ryoke, Rie
AU - Sack, Markus
AU - Salvan, Piergiorgio
AU - Sanganahalli, Basavaraju G.
AU - Schroeter, Aileen
AU - Seewoo, Bhedita J.
AU - Selingue, Erwan
AU - Seuwen, Aline
AU - Shi, Bowen
AU - Sirmpilatze, Nikoloz
AU - Smith, Joanna A.B.
AU - Smith, Corrie
AU - Sobczak, Filip
AU - Stenroos, Petteri J.
AU - Straathof, Milou
AU - Strobelt, Sandra
AU - Sumiyoshi, Akira
AU - Takahashi, Kengo
AU - Torres-García, Maria E.
AU - Tudela, Raul
AU - van den Berg, Monica
AU - van der Marel, Kajo
AU - van Hout, Aran T.B.
AU - Vertullo, Roberta
AU - Vidal, Benjamin
AU - Vrooman, Roël M.
AU - Wang, Victora X.
AU - Wank, Isabel
AU - Watson, David J.G.
AU - Yin, Ting
AU - Zhang, Yongzhi
AU - Zurbruegg, Stefan
AU - Achard, Sophie
AU - Alcauter, Sarael
AU - Auer, Dorothee P.
AU - Barbier, Emmanuel L.
AU - Baudewig, Jürgen
AU - Beckmann, Christian F.
AU - Beckmann, Nicolau
AU - Becq, Guillaume J.P.C.
AU - Blezer, Erwin L.A.
AU - Bolbos, Radu
AU - Boretius, Susann
AU - Bouvard, Sandrine
AU - Budinger, Eike
AU - Buxbaum, Joseph D.
AU - Cash, Diana
AU - Chapman, Victoria
AU - Chuang, Kai Hsiang
AU - Ciobanu, Luisa
AU - Coolen, Bram F.
AU - Dalley, Jeffrey W.
AU - Dhenain, Marc
AU - Dijkhuizen, Rick M.
AU - Esteban, Oscar
AU - Faber, Cornelius
AU - Febo, Marcelo
AU - Feindel, Kirk W.
AU - Forloni, Gianluigi
AU - Fouquet, Jérémie
AU - Garza-Villarreal, Eduardo A.
AU - Gass, Natalia
AU - Glennon, Jeffrey C.
AU - Gozzi, Alessandro
AU - Gröhn, Olli
AU - Harkin, Andrew
AU - Heerschap, Arend
AU - Helluy, Xavier
AU - Herfert, Kristina
AU - Heuser, Arnd
AU - Homberg, Judith R.
AU - Houwing, Danielle J.
AU - Hyder, Fahmeed
AU - Ielacqua, Giovanna Diletta
AU - Jelescu, Ileana O.
AU - Johansen-Berg, Heidi
AU - Kaneko, Gen
AU - Kawashima, Ryuta
AU - Keilholz, Shella D.
AU - Keliris, Georgios A.
AU - Kelly, Clare
AU - Kerskens, Christian
AU - Khokhar, Jibran Y.
AU - Kind, Peter C.
AU - Langlois, Jean Baptiste
AU - Lerch, Jason P.
AU - López-Hidalgo, Monica A.
AU - Manahan-Vaughan, Denise
AU - Marchand, Fabien
AU - Mars, Rogier B.
AU - Marsella, Gerardo
AU - Micotti, Edoardo
AU - Muñoz-Moreno, Emma
AU - Near, Jamie
AU - Niendorf, Thoralf
AU - Otte, Willem M.
AU - Pais-Roldán, Patricia
AU - Pan, Wen Ju
AU - Prado-Alcalá, Roberto A.
AU - Quirarte, Gina L.
AU - Rodger, Jennifer
AU - Rosenow, Tim
AU - Sampaio-Baptista, Cassandra
AU - Sartorius, Alexander
AU - Sawiak, Stephen J.
AU - Scheenen, Tom W.J.
AU - Shemesh, Noam
AU - Shih, Yen Yu Ian
AU - Shmuel, Amir
AU - Soria, Guadalupe
AU - Stoop, Ron
AU - Thompson, Garth J.
AU - Till, Sally M.
AU - Todd, Nick
AU - Van Der Linden, Annemie
AU - van der Toorn, Annette
AU - van Tilborg, Geralda A.F.
AU - Vanhove, Christian
AU - Veltien, Andor
AU - Verhoye, Marleen
AU - Wachsmuth, Lydia
AU - Weber-Fahr, Wolfgang
AU - Wenk, Patricia
AU - Yu, Xin
AU - Zerbi, Valerio
AU - Zhang, Nanyin
AU - Zhang, Baogui B.
AU - Zimmer, Luc
AU - Devenyi, Gabriel A.
AU - Chakravarty, M. Mallar
AU - Hess, Andreas
N1 - Funding Information: This research was enabled, in part, by support provided by Compute Ontario ( https://www.computeontario.ca/ ) and Compute Canada ( www.computecanada.ca ). For the purpose of open access, we have applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. This research was funded by: the National Institutes of Health (K01EB023983, R03DA042971, R21AG065819, K25DA047458, I015I01CX000642-04, R01NS085200, R01MH098003, RF1MH114224, T32AA007573, R01MH067528, P30NS05219, T32GM007205, R01MH111416, R01NS078095, R01EB029857, F31 MH115656 and 1R21MH116473-01A1); the Wellcome Trust (212934/Z/18/Z, 109062/Z/15/Z, 110027/Z/15/Z, 204814/Z/16/Z and 203139/Z/16/Z); the Dutch Research Council (OCENW.KLEIN.334, 021.002.053, 016.130.662 and 016.168.038); the German Research Foundation (SA 1869/15-1, SA 2897/2-1, SFB 1436/B06, SFB874/B3 project no.: 122679504, SFB 1280/A04 project no.: 316803389); the French National Research Agency (ANR-15-IDEX-02 and ANR-11-INBS-0006); Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (IN212219, IA202120 and IA201622); the UK Medical Research Council (MR/N013700/1 and 1653552); the Portuguese Foundation for Science and Technology (LISBOA-01-0145-FEDER-022170 and 275-FCT-PTDC/BBB/IMG/5132/2014); the Swiss National Science Foundation (PCEFP3_203005 and PCEFP2_194260); King’s College London, Biotechnology and Biological Sciences Research Council (BB/N009088/1); the European Community’s Seventh Framework Program (FP7/2007-2013); TACTICS (278948); the Brain and Behaviour Foundation (NARSAD, 25861); the Dutch Brain Foundation (F2014(1)-06); the National Science Foundation (DMR-1644779, DMR-1533260, DMR-2128556); the Human Brain Project (945539); the Canadian Institutes of Health Research (PJT-148751, PJT-173442 and MOP-102599); the Natural Sciences and Engineering Research Council of Canada (RGPIN-2020-05917, RGPIN-375457-09 and RGPIN-2015-05103); the Horizon 2020 Framework Programme of the European Union (740264 and 802371); the Academy of Finland (298007); the European Research Council (679058 and 802371); Innosuisse (18546.1); the Research Foundation – Flanders (12W1619N, FWO-G048917N and G045420N); the Stichting Alzheimer Onderzoek (SAO-FRA-20180003); Special Research Programmes (1158); CIBER-BBN; Instituto de Salut Carlos III - FEDER (PI18/00893); Versus Arthritis (20777); the Brain Behavior Foundation (25861); the Telethon Foundation (GGP19177); Eurostars (E!114985); the Brain Canada Foundation platform support grant (PSG15-3755); the National Natural Science Foundation of China (81950410637); Science Foundation Ireland (20/FFPP/8799); Trinity Foundation (RCN 20028626); Consejo Nacional de Ciencia y Tecnologia Ciencia de Frontera (171874); PAPIIT-DGAPA (IA208022); Fonds de recherche du Québec – Nature et technologies; the Forrest Research Foundation; the Australian National Imaging Facility; the University of Western Australia; the National Health and Medical Research Council of the Australian Government; the Perron Institute for Neurological and Translational Science; McGill University’s Faculty of Medicine; the Seaver Foundation; Autism Speaks; the Centre d’Imagerie BioMédicale of the UNIL, UNIGE, HUG, CHUV, EPFL; the Leenaards and Louis-Jeantet Foundations; the DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain; the Synapsis Foundation; the Simons Initiative for the Developing Brain; the Patrick Wild Centre; the Department of Biotechnology India; Utrecht University High Potential Program; ERA-NET NEURON Neuromarket; Mannheim Advanced Clinician Scientist Program; ICON – Interfaces and Interventions in Complex Chronic Conditions; the Werner Siemens Foundation; the Lisboa Regional Operational Programme; the Japan Ministry of Education, Culture, Sports, Science and Technology (MEXT); ShanghaiTech University; the Shanghai Municipal Government; and the Interdisciplinary Center for Clinical Research Münster (PIX). Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85150875109&partnerID=8YFLogxK
U2 - 10.1038/s41593-023-01286-8
DO - 10.1038/s41593-023-01286-8
M3 - Article
C2 - 36973511
AN - SCOPUS:85150875109
SN - 1097-6256
VL - 26
SP - 673
EP - 681
JO - Nature Neuroscience
JF - Nature Neuroscience
IS - 4
ER -