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Microstructure Informed Tractography: Pitfalls and Open Challenges.

Alessandro Daducci1, Alessandro Dal Palú2, Maxime Descoteaux3

  • 1Signal Processing Lab, Electrical Engineering, École Polytechnique Fédérale de LausanneLausanne, Switzerland; Radiology Department, University Hospital CenterLausanne, Switzerland; Sherbrooke Connectivity Imaging Lab, Computer Science, Université de SherbrookeSherbrooke, QC, Canada.

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Summary
This summary is machine-generated.

Microstructure informed tractography offers quantitative brain connectivity insights but requires careful interpretation. Researchers must address potential pitfalls like fiber duplication and model selection to avoid biased conclusions.

Keywords:
diffusion MRIinterpretationmicrostructure imagingopen challengespitfallstractography

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Area of Science:

  • Neuroimaging
  • Diffusion MRI
  • Computational Neuroscience

Background:

  • Traditional diffusion MRI tractography lacks quantitative accuracy.
  • Integrating local microstructure features with tractography was previously challenging.
  • Recent modeling advances enable microstructure informed tractography for brain connectivity.

Purpose of the Study:

  • To raise awareness regarding potential pitfalls in microstructure informed tractography.
  • To highlight challenges in interpreting results from these advanced diffusion MRI techniques.
  • To guide researchers in avoiding erroneous conclusions about brain connectivity.

Main Methods:

  • Utilized synthetic and real diffusion MRI data for analysis.
  • Investigated the impact of specific modeling choices and potential data artifacts.
  • Focused on issues such as partial/missing/duplicate fibers and diffusion model selection.

Main Results:

  • Demonstrated that overlooking certain pitfalls can lead to severely biased connectivity conclusions.
  • Highlighted the critical importance of the chosen diffusion model in microstructure informed tractography.
  • Identified practical situations yielding erroneous interpretations of brain connectivity.

Conclusions:

  • Microstructure informed tractography is a promising but complex field.
  • Acknowledging and addressing current limitations is crucial for reliable quantitative analyses.
  • Further research is needed for truly quantitative and biologically meaningful brain connectivity studies.