Connectome-derived diffusion characteristics of the fornix in Alzheimer's disease

Rodrigo D. Perea, Jennifer S. Rabin, Megan G. Fujiyoshi, Taylor E. Neal, Emily E. Smith, Koene R.A. Van Dijk, Trey Hedden

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

The fornix bundle is a major white matter pathway of the hippocampus. While volume of the hippocampus has been a primary imaging biomarker of Alzheimer's disease progression, recent research has suggested that the volume and microstructural characteristics of the fornix bundle connecting the hippocampus could add relevant information for diagnosing and staging Alzheimer's disease. Using a robust fornix bundle isolation technique in native diffusion space, this study investigated whether diffusion measurements of the fornix differed between normal older adults and Alzheimer's disease patients when controlling for volume measurements. Data were collected using high gradient multi-shell diffusion-weighted MRI from a Siemens CONNECTOM scanner in 23 Alzheimer's disease and 23 age- and sex-matched control older adults (age range = 53–92). These data were used to reconstruct a continuous fornix bundle in every participant's native diffusion space, from which tract-derived volumetric and diffusion metrics were extracted and compared between groups. Diffusion metrics included those from a tensor model and from a generalized q-sampling imaging model. Results showed no significant differences in tract-derived fornix volumes but did show altered diffusion metrics within tissue classified as the fornix in the Alzheimer's disease group. Comparisons to a manual tracing method indicated the same pattern of results and high correlations between the methods. These results suggest that in Alzheimer's disease, diffusion characteristics may provide more sensitive measures of fornix degeneration than do volume measures and may be a potential early marker for loss of medial temporal lobe connectivity.

Original languageEnglish
Pages (from-to)331-342
Number of pages12
JournalNeuroImage: Clinical
Volume19
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes

Keywords

  • Aging
  • Connectivity
  • Hippocampus
  • MRI
  • White matter

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