4.7 Article

Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey

期刊

JOURNAL OF NEUROSCIENCE
卷 36, 期 25, 页码 6758-6770

出版社

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.0493-16.2016

关键词

cerebral cortex; connectivity; diffusion tractography; macaque; neuroanatomy; retrograde tracing

资金

  1. National Institutes of Health [R01 MH 60974, F30 MH097312, P01AG026423]
  2. Engineering and Physical Sciences Research Council [EP/L023067/1]
  3. French National Research Agency [ANR-11-BSV4-501, ANR-14-CE13-003]
  4. Yerkes National Primate Research Center (Office of Research Infrastructure Programs) [OD P51OD11132]
  5. French National Research Agency (LabEx CORTEX) [ANR-11-LABX-0042]
  6. French National Research Agency (Universite de Lyon) [ANR-11-IDEX-0007]
  7. Engineering and Physical Sciences Research Council [EP/L023067/1] Funding Source: researchfish
  8. Medical Research Council [MR/L009013/1] Funding Source: researchfish
  9. EPSRC [EP/L023067/1] Funding Source: UKRI
  10. MRC [MR/L009013/1] Funding Source: UKRI

向作者/读者索取更多资源

Tractography based on diffusion MRI offers the promise of characterizing many aspects of long-distance connectivity in the brain, but requires quantitative validation to assess its strengths and limitations. Here, we evaluate tractography's ability to estimate the presence and strength of connections between areas of macaque neocortex by comparing its results with published data from retrograde tracer injections. Probabilistic tractography was performed on high-quality postmortem diffusion imaging scans from two Old World monkey brains. Tractography connection weights were estimated using a fractional scaling method based on normalized streamline density. We found a correlation between log-transformed tractography and tracer connection weights of r = 0.59, twice that reported in a recent study on the macaque. Using a novel method to estimate interareal connection lengths from tractography streamlines, we regressed out the distance dependence of connection strength and found that the correlation between tractography and tracers remains positive, albeit substantially reduced. Altogether, these observations provide a valuable, data-driven perspective on both the strengths and limitations of tractography for analyzing interareal corticocortical connectivity in nonhuman primates and a framework for assessing future tractography methodological refinements objectively.

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