Unknown

Dataset Information

Characterizing Streamline Count Invariant Graph Measures of Structural Connectomes.


ABSTRACT:

Background

While graph measures are used increasingly to characterize human connectomes, uncertainty remains in how to use these metrics in a quantitative and reproducible manner. Specifically, there is a lack of community consensus regarding the number of streamlines needed to generate connectomes.

Purpose

The purpose was to define the relationship between streamline count and graph-measure value, reproducibility, and repeatability.

Study type

Retrospective analysis of previously prospective study.

Population

Ten healthy subjects, 70% female, aged 25.3 ± 5.9 years.

Field strength/sequence

A 3-T, T1-weighted sequences and diffusion-weighted imaging (DWI) with two gradient strengths (b-values = 1200 and 3000 sec/mm2 , echo time [TE] = 68 msec,

SUBMITTER: Newlin NR 

PROVIDER: S-EPMC10447626 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature