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Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics

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  • Piergiorgio Salvan, University of Oxford
  • ,
  • Alberto Lazari, University of Oxford
  • ,
  • Diego Vidaurre
  • Francesca Mandino, Yale University
  • ,
  • Heidi Johansen-Berg, University of Oxford
  • ,
  • Joanes Grandjean, Radboud University Nijmegen

Human neuroimaging studies have shown that, during cognitive processing, the brain undergoes dynamic transitions between multiple, frequency-tuned states of activity. Although different states may emerge from distinct sources of neural activity, it remains unclear whether single-area neuronal spiking can also drive multiple dynamic states. In mice, we ask whether frequency modulation of the entorhinal cortex activity causes dynamic states to emerge and whether these states respond to distinct stimulation frequencies. Using hidden Markov modeling, we perform unsupervised detection of transient states in mouse brain-wide fMRI fluctuations induced via optogenetic frequency modulation of excitatory neurons. We unveil the existence of multiple, frequency-dependent dynamic states, invisible through standard static fMRI analyses. These states are linked to different anatomical circuits and disrupted in a frequency-dependent fashion in a transgenic model of cognitive disease directly related to entorhinal cortex dysfunction. These findings provide cross-scale insight into basic neuronal mechanisms that may underpin flexibility in brain-wide dynamics.

Original languageEnglish
Article number109954
JournalCell Reports
Volume37
Issue5
ISSN2211-1247
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 The Author(s)

    Research areas

  • dynamic brain networks, hidden Markov modeling, optogenetics-fMRI, requency modulation

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