Magnetogenetic stimulation inside MRI induces spontaneous and evoked changes in neural circuits activity in rats.
Kai-Hsiang ChuangChunqi QianAssaf A GiladGalit PelledPublished in: bioRxiv : the preprint server for biology (2023)
The ability to modulate specific neural circuits and simultaneously visualize and measure brain activity with MRI would greatly impact understanding brain function in health and disease. The combination of neurostimulation methods and MRI in animal models have already shown promise in elucidating fundamental mechanisms associated with brain activity. We developed an innovative magnetogenetics neurostimulation technology that can trigger neural activity through magnetic fields. Similar to other genetic-based neuromodulation methods, magnetogenetics offers cell-, area- and temporal-specific control of neural activity. However, the magnetogenetics protein (Electromagnetic Preceptive Gene (EPG)) are activated by non-invasive magnetic fields, providing a unique way to target neural circuits by the MRI gradients while simultaneously measure their effect on brain activity. EPG was expressed in rat's visual cortex and the amplitude of low-frequency fluctuation (fALFF), resting-state functional connectivity (FC), and sensory activation was measured using a 7T MRI. The results demonstrate that EPG-expressing rats had significantly higher signal fluctuations in the visual areas and stronger FC in sensory areas consistent with known anatomical visuosensory and visuomotor connections. This new technology complements the existing neurostimulation toolbox and provides a mean to study brain function in a minimally-invasive way which was not possible previously.
Keyphrases
- resting state
- functional connectivity
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- minimally invasive
- public health
- healthcare
- stem cells
- computed tomography
- multiple sclerosis
- magnetic resonance
- mental health
- white matter
- small molecule
- single cell
- transcription factor
- gene expression
- mesenchymal stem cells
- machine learning
- mass spectrometry
- climate change
- deep learning
- blood brain barrier