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Related Experiment Video

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Laminar specific fMRI reveals directed interactions in distributed networks during language processing.

Daniel Sharoh1, Tim van Mourik1, Lauren J Bains1

  • 1Donders Institute for Brain Cognition and Behaviour, Radoud University, NL-6500 HB Nijmegen, The Netherlands.

Proceedings of the National Academy of Sciences of the United States of America
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Summary

Laminar functional MRI (lfMRI) noninvasively measures brain signal interactions during word reading. This technique reveals depth-specific activity in the left occipitotemporal sulcus, differentiating top-down and bottom-up pathways.

Keywords:
BOLD biophysicsdirected connectivitylaminar fMRIlanguagesystems neuroscience

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • Brain function relies on integrating top-down and bottom-up information streams.
  • Noninvasive measurement of these interactions, particularly their depth-dependent contributions, remains challenging.
  • Standard functional MRI (fMRI) lacks the laminar resolution to distinguish these signals.

Purpose of the Study:

  • To use laminar fMRI (lfMRI) to dissociate top-down and bottom-up signal contributions in the left occipitotemporal sulcus (LOTS) during word reading.
  • To demonstrate that lfMRI can identify condition-specific brain networks based on depth-dependent blood oxygen level-dependent (BOLD) signals.
  • To investigate directed interactions between brain regions at submillimeter resolution.

Main Methods:

  • Application of laminar fMRI (lfMRI) to measure depth-dependent BOLD responses.
  • Analysis of whole-brain connectivity patterns linked to specific BOLD signal depths within the LOTS.
  • Comparison of connectivity patterns during word reading versus a control condition.

Main Results:

  • Word reading elevated the top-down BOLD signal in the deep layers of the LOTS.
  • This top-down signal in the LOTS showed unique correlations with activity in other language-critical regions.
  • lfMRI revealed distinct connectivity patterns at different depths, both within the LOTS and with other brain areas.
  • Depth-dependent BOLD signal differences and interactions were observed, previously only measurable invasively.

Conclusions:

  • lfMRI enables noninvasive measurement of directed interactions between brain regions.
  • This technique can resolve distinct connectivity patterns at submillimeter resolution, offering insights into top-down and bottom-up processing.
  • lfMRI provides a powerful tool for understanding brain function during complex cognitive tasks like reading.