Brain Parcellation Flashcard

Front

What is the primary challenge the authors are trying to address in the context of brain parcellation? Options: Parcellating healthy brains using MRI. Parcellating anatomically distorted brains due to pathology and resection. Developing new MRI technology. Understanding functional connectivity in the brain.

Back

Parcellating anatomically distorted brains due to pathology and resection.

Front

What type of data is used to train the machine learning classifier? Options: Functional MRI data from patients with brain tumors., Normative diffusion data from healthy subjects., Histological data., Genetic data.

Back

Normative diffusion data from healthy subjects.

Front

What atlas was used as a prior to calculate streamline connectivity?

Back

Glasser HCP atlas

Front

What does the machine learning classifier predict?

Back

Parcel identity of each voxel

Front

The approach in this paper aims to create maps that are:

Back

Independent of brain shape

Front

What is the average percentage of cortical voxels re-parcellated in healthy datasets?

Back

2.65%

Front

What type of brain pathology is the patient dataset comprised of?

Back

Supratentorial infiltrating gliomas

Front

What does the paper identify as a limitation of applying atlas-based registration from healthy subjects?

Back

Inaccuracy due to anatomical distortion

Front

What is the name of the machine learning model used in the study?

Back

XGBoost

Front

What is the primary optimization for the algorithm?

Back

Accuracy