An MRI method for parcellating the human striatum into matrix and striosome compartments in vivo

J. L. Waugh*, A. A.O. Hassan, J. K. Kuster, J. M. Levenstein, S. K. Warfield, N. Makris, N. Brüggemann, N. Sharma, H. C. Breiter, A. J. Blood

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The mammalian striatum is comprised of intermingled tissue compartments, matrix and striosome. Though indistinguishable by routine histological techniques, matrix and striosome have distinct embryologic origins, afferent/efferent connections, surface protein expression, intra-striatal location, susceptibilities to injury, and functional roles in a range of animal behaviors. Distinguishing the compartments previously required post-mortem tissue and/or genetic manipulation; we aimed to identify matrix/striosome non-invasively in living humans. We used diffusion MRI (probabilistic tractography) to identify human striatal voxels with connectivity biased towards matrix-favoring or striosome-favoring regions (determined by prior animal tract-tracing studies). Segmented striatal compartments replicated the topological segregation and somatotopic organization identified in animal matrix/striosome studies. Of brain regions mapped in prior studies, our human brain data confirmed 93% of the compartment-selective structural connectivity demonstrated in animals. Test-retest assessment on repeat scans found a voxel classification error rate of 0.14%. Fractional anisotropy was significantly higher in matrix-like voxels, while mean diffusivity did not differ between the compartments. As mapped by the Talairach human brain atlas, 460 regions were significantly biased towards either matrix or striosome. Our method allows the study of striatal compartments in human health and disease, in vivo, for the first time.

Original languageEnglish (US)
Article number118714
JournalNeuroimage
Volume246
DOIs
StatePublished - Feb 1 2022

Keywords

  • Classification targets tractography
  • Diffusion MRI
  • Matrix
  • Patch
  • Striatal compartments
  • Striosome

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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