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Imaging and Anesthesia Protocol Optimization in Sedated Clinical Resting-State fMRI.

Elmira Hassanzadeh1, Alyssa Ailion2, Masoud Hassanzadeh3

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This summary is machine-generated.

Sevoflurane anesthesia can reduce the quality of resting-state functional MRI (rs-fMRI) network data, especially motor networks. Anesthesia type is a key factor for rs-fMRI quality in patients.

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Area of Science:

  • Neuroimaging
  • Anesthesiology
  • Radiology

Background:

  • Resting-state functional MRI (rs-fMRI) quality under anesthesia is inconsistent.
  • Lack of guidelines for optimal rs-fMRI acquisition and anesthesia protocols.
  • Need to identify factors compromising clinical rs-fMRI quality under anesthesia.

Purpose of the Study:

  • Identify factors influencing the quality of clinical resting-state fMRI (rs-fMRI) acquired under anesthesia.
  • Determine the impact of anesthesia type on the robustness of resting-state networks (RSNs).

Main Methods:

  • Cross-sectional analysis of clinical rs-fMRI data (2009-2023).
  • Qualitative and quantitative evaluation of resting-state networks (RSNs) using independent component analysis.
  • Logistic regression to assess predictors of RSN robustness, including anesthesia, acquisition parameters, and patient factors.

Main Results:

  • Sevoflurane significantly reduced the odds of robust RSNs across overall, motor-language, and individual motor networks.
  • Reduced RSN robustness was observed in 29/69 overall and 24/69 motor-language networks.
  • No association found between MR acquisition technique or structural abnormalities and RSN robustness.

Conclusions:

  • Sevoflurane anesthesia may compromise rs-fMRI RSN visibility, particularly motor networks.
  • Anesthesia type is a critical determinant of rs-fMRI quality.
  • MR acquisition parameters and structural abnormalities did not significantly affect RSN robustness in this study.