Comparison of diffusion tractography and tract-tracing measures of connectivity strength in rhesus macaque connectome

连接体 猕猴 磁共振弥散成像 连接组学 追踪 纤维束成像 神经科学 白质 人类连接体项目 顺行追踪 计算机科学 投影(关系代数) 人工智能 模式识别(心理学) 生物 功能连接 算法 磁共振成像 医学 核心 放射科 操作系统
作者
Martijn P. van den Heuvel,Marcel A. de Reus,Lisa Feldman Barrett,Lianne H. Scholtens,Fraukje M.T. Coopmans,Ruben Schmidt,Todd M. Preuss,James K. Rilling,Longchuan Li
出处
期刊:Human Brain Mapping [Wiley]
卷期号:36 (8): 3064-3075 被引量:124
标识
DOI:10.1002/hbm.22828
摘要

With the mapping of macroscale connectomes by means of in vivo diffusion-weighted MR Imaging (DWI) rapidly gaining in popularity, one of the necessary steps is the examination of metrics of connectivity strength derived from these reconstructions. In the field of human macroconnectomics the number of reconstructed fiber streamlines (NOS) is more and more used as a metric of cortico-cortical interareal connectivity strength, but the link between DWI NOS and in vivo animal tract-tracing measurements of anatomical connectivity strength remains poorly understood. In this technical report, we communicate on a comparison between DWI derived metrics and tract-tracing metrics of projection strength. Tract-tracing information on projection strength of interareal pathways was extracted from two commonly used macaque connectome datasets, including (1) the CoCoMac database of collated tract-tracing experiments of the macaque brain and (2) the high-resolution tract-tracing dataset of Markov and Kennedy and coworkers. NOS and density of reconstructed fiber pathways derived from DWI data acquired across 10 rhesus macaques was found to positively correlate to tract-tracing based measurements of connectivity strength across both the CoCoMac and Markov dataset (both P < 0.001), suggesting DWI NOS to form a valid method of assessment of the projection strength of white matter pathways. Our findings provide confidence of in vivo DWI connectome reconstructions to represent fairly realistic estimates of the wiring strength of white matter projections. Our cross-modal comparison supports the notion of in vivo DWI to be a valid methodology for robust description and interpretation of brain wiring.

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