Pypreclin: An automatic pipeline for macaque functional MRI preprocessing

Non-human primate functional MRI (fMRI) is a growing field in neuroscience. However, there is no standardized method for monkey fMRI data analysis, specifically for data preprocessing. The preprocessing of monkey fMRI data is challenged by several technical and experimental specificities of the monk...

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Main Authors: Jordy Tasserie, Antoine Grigis, Lynn Uhrig, Morgan Dupont, Alexis Amadon, Béchir Jarraya
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309449
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author Jordy Tasserie
Antoine Grigis
Lynn Uhrig
Morgan Dupont
Alexis Amadon
Béchir Jarraya
author_facet Jordy Tasserie
Antoine Grigis
Lynn Uhrig
Morgan Dupont
Alexis Amadon
Béchir Jarraya
author_sort Jordy Tasserie
collection DOAJ
description Non-human primate functional MRI (fMRI) is a growing field in neuroscience. However, there is no standardized method for monkey fMRI data analysis, specifically for data preprocessing. The preprocessing of monkey fMRI data is challenged by several technical and experimental specificities of the monkey research such as artifacts related to body movements or to intracranial leads. Here we propose to address these challenges by developing a new versatile pipeline for macaque fMRI preprocessing. We developed a Python module, Pypreclin, to process raw images using state of the art algorithms embedded in a fully automatic pipeline. To evaluate its robustness, we applied Pypreclin to fMRI data acquired at 3T in both awake and anesthetized macaques, with or without iron oxide contrast agent, using single loop or multichannel phased-array coils, combined or not with intracranial implanted electrodes. We performed both resting-state and auditory evoked fMRI and compared the results of Pypreclin to a previously employed preprocessing pipeline. Pypreclin successfully achieved the registration of the fMRI data to the macaque brain template in all the experimental conditions. Moreover, Pypreclin enables more accurate locations of auditory evoked activations in relation to the gray matter at corrected level in the awake fMRI condition. Finally, using the Primate neuroimaging Data-Exchange open access platform, we could further validate Pypreclin for monkey fMRI images that were acquired at ultra-high fields, from other institutions and using different protocols. Pypreclin is a validated preprocessing tool that adapts to diverse experimental and technical situations of monkey fMRI. Pypreclin code is available on open source data sharing platform.
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spelling doaj.art-7c01df39658b4d1cbf5828353cf4f1112022-12-22T01:08:00ZengElsevierNeuroImage1095-95722020-02-01207116353Pypreclin: An automatic pipeline for macaque functional MRI preprocessingJordy Tasserie0Antoine Grigis1Lynn Uhrig2Morgan Dupont3Alexis Amadon4Béchir Jarraya5Commissariat à l’Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale U992, Gif-sur-Yvette, France; Université Paris Sud, Université Paris-Saclay, Orsay, FranceCommissariat à l’Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Analysis and Information Treatment Unit, Commissariat à l’Énergie Atomique et aux Énergies Alternatives, Gif-sur-Yvette, FranceCommissariat à l’Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale U992, Gif-sur-Yvette, FranceCommissariat à l’Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale U992, Gif-sur-Yvette, FranceCommissariat à l’Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Magnetic Resonance Imaging and Spectroscopy Unit, Commissariat à l’Énergie Atomique et aux Énergies Alternatives, Gif-sur-Yvette, FranceCommissariat à l’Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale U992, Gif-sur-Yvette, France; Neurosurgery Department, Foch Hospital, Suresnes, France; University of Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Versailles, France; Corresponding author. Neurospin imaging center, Inserm, CEA Saclay, Bat 145, 91191, Gif-sur-Yvette, France.Non-human primate functional MRI (fMRI) is a growing field in neuroscience. However, there is no standardized method for monkey fMRI data analysis, specifically for data preprocessing. The preprocessing of monkey fMRI data is challenged by several technical and experimental specificities of the monkey research such as artifacts related to body movements or to intracranial leads. Here we propose to address these challenges by developing a new versatile pipeline for macaque fMRI preprocessing. We developed a Python module, Pypreclin, to process raw images using state of the art algorithms embedded in a fully automatic pipeline. To evaluate its robustness, we applied Pypreclin to fMRI data acquired at 3T in both awake and anesthetized macaques, with or without iron oxide contrast agent, using single loop or multichannel phased-array coils, combined or not with intracranial implanted electrodes. We performed both resting-state and auditory evoked fMRI and compared the results of Pypreclin to a previously employed preprocessing pipeline. Pypreclin successfully achieved the registration of the fMRI data to the macaque brain template in all the experimental conditions. Moreover, Pypreclin enables more accurate locations of auditory evoked activations in relation to the gray matter at corrected level in the awake fMRI condition. Finally, using the Primate neuroimaging Data-Exchange open access platform, we could further validate Pypreclin for monkey fMRI images that were acquired at ultra-high fields, from other institutions and using different protocols. Pypreclin is a validated preprocessing tool that adapts to diverse experimental and technical situations of monkey fMRI. Pypreclin code is available on open source data sharing platform.http://www.sciencedirect.com/science/article/pii/S1053811919309449PreprocessingfMRIMacaqueNon-human primateAutomaticMovement artifact
spellingShingle Jordy Tasserie
Antoine Grigis
Lynn Uhrig
Morgan Dupont
Alexis Amadon
Béchir Jarraya
Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
NeuroImage
Preprocessing
fMRI
Macaque
Non-human primate
Automatic
Movement artifact
title Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
title_full Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
title_fullStr Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
title_full_unstemmed Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
title_short Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
title_sort pypreclin an automatic pipeline for macaque functional mri preprocessing
topic Preprocessing
fMRI
Macaque
Non-human primate
Automatic
Movement artifact
url http://www.sciencedirect.com/science/article/pii/S1053811919309449
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