Abstract
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.
Original language | English (US) |
---|---|
Pages (from-to) | 673-681 |
Number of pages | 9 |
Journal | Nature Neuroscience |
Volume | 26 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2023 |
All Science Journal Classification (ASJC) codes
- Neuroscience(all)
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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 - 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
UR - http://www.scopus.com/inward/citedby.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 -