Whole-brain studies of spontaneous behavior in head-fixed rats enabled by zero echo time MB-SWIFT fMRI
Autor: | Raimo A. Salo, Djaudat S. Idiyatullin, Michael Garwood, Heikki Tanila, Silvia Mangia, Olli Gröhn, Hanne Laakso, Tiina Pirttimäki, Ekaterina Paasonen, Jaakko Paasonen, Shalom Michaeli, Petteri Stenroos |
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Rok vydání: | 2021 |
Předmět: |
Olfactory system
Brain activity and meditation Computer science Awake Functional magnetic resonance imaging Neurosciences. Biological psychiatry. Neuropsychiatry Sensory system Behavioral neuroscience Correlation Rats Sprague-Dawley Functional connectivity medicine Animals Behavior Brain Mapping medicine.diagnostic_test Behavior Animal Brain Body movement Cognition Electroencephalography Equipment Design Magnetic Resonance Imaging Rats Head Movements Neuroscience RC321-571 |
Zdroj: | NeuroImage, Vol 250, Iss, Pp 118924-(2022) |
ISSN: | 1095-9572 |
Popis: | Understanding the link between the brain activity and behavior is a key challenge in modern neuroscience. Behavioral neuroscience, however, lacks tools to record whole-brain activity in complex behavioral settings. Here we demonstrate that a novel Multi-Band SWeep Imaging with Fourier Transformation (MB-SWIFT) functional magnetic resonance imaging (fMRI) approach enables whole-brain studies in spontaneously behaving head-fixed rats. First, we show anatomically relevant functional parcellation. Second, we show sensory, motor, exploration, and stress-related brain activity in relevant networks during corresponding spontaneous behavior. Third, we show odor-induced activation of olfactory system with high correlation between the fMRI and behavioral responses. We conclude that the applied methodology enables novel behavioral study designs in rodents focusing on tasks, cognition, emotions, physical exercise, and social interaction. Importantly, novel zero echo time and large bandwidth approaches, such as MB-SWIFT, can be applied for human behavioral studies, allowing more freedom as body movement is dramatically less restricting factor. |
Databáze: | OpenAIRE |
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