Neuroplasticity-driven timing modulations revealed by ultrafast functional magnetic resonance imaging
| Autor: | Noam Shemesh, Rita Gil, Francisca F. Fernandes |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Plasticity
Computer science Cognitive Neuroscience Entire visual pathway 050105 experimental psychology lcsh:RC321-571 Ultrafast fMRI Line scanning 03 medical and health sciences Neural activity Mice 0302 clinical medicine Spatio-Temporal Analysis Neuroplasticity Modulation (music) Neural Pathways medicine Animals 0501 psychology and cognitive sciences Visual Pathways lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Neuronal Plasticity medicine.diagnostic_test Functional Neuroimaging fMRI 05 social sciences Brain Magnetic Resonance Imaging Neurology Visual system Functional magnetic resonance imaging Spatial extent Neuroscience Ultrashort pulse 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage, Vol 225, Iss, Pp 117446-(2021) |
| ISSN: | 1095-9572 |
| Popis: | Detecting neuroplasticity in global brain circuits in vivo is key for understanding myriad processes such as memory, learning, and recovery from injury. Functional Magnetic Resonance Imaging (fMRI) is instrumental for such in vivo mappings, yet it typically relies on mapping changes in spatial extent of activation or via signal amplitude modulations, whose interpretation can be highly ambiguous. Importantly, a central aspect of neuroplasticity involves modulation of neural activity timing properties. We thus hypothesized that this temporal dimension could serve as a new marker for neuroplasticity. To detect fMRI signals more associated with the underlying neural dynamics, we developed an ultrafast fMRI (ufMRI) approach facilitating high spatiotemporal sensitivity and resolution in distributed neural pathways. When neuroplasticity was induced in the mouse visual pathway via dark rearing, ufMRI indeed mapped temporal modulations in the entire visual pathway. Our findings therefore suggest a new dimension for exploring neuroplasticity in vivo. |
| Databáze: | OpenAIRE |
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