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Diffusion tensor tractography of brainstem fibers and its application in pain — Europe PMC PMID:32069284

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/32069284
DOI: 10.1371/journal.pone.0213952
License (as archived): CC0-1.0
Archived: 2026-11-09T11:06:58.307Z
SHA-256 of the archived text: 61d81d82419a4658a21412d777907320d74da5b5646240f8d36eabc8cdb9f088
Stable URL of this page: https://metraipolis.com/documento/dc_bd40fcd1e340

How to cite

Diffusion tensor tractography of brainstem fibers and its application in pain — Europe PMC PMID:32069284 — Europe PMC (en), https://europepmc.org/article/MED/32069284 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bd40fcd1e340 (Metraipolis archive dc_bd40fcd1e340, sha256 61d81d82419a4658a21412d777907320d74da5b5646240f8d36eabc8cdb9f088)

BibTeX

@misc{dcbd40fcd1e340,
  title = {Diffusion tensor tractography of brainstem fibers and its application in pain — Europe PMC PMID:32069284},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/32069284},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bd40fcd1e340; sha256 61d81d82419a4658a21412d777907320d74da5b5646240f8d36eabc8cdb9f088},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/32069284. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Evaluation of brainstem pathways with diffusion tensor imaging (DTI) and tractography may provide insights into pathophysiologies associated with dysfunction of key brainstem circuits. However, identification of these tracts has been elusive, with relatively few in vivo human studies to date. In this paper we proposed an automated approach for reconstructing nine brainstem fiber trajectories of pathways that might be involved in pain modulation. We first performed native-space manual tractography of these fiber tracts in a small normative cohort of participants and confirmed the anatomical precision of the results using existing anatomical literature. Second, region-of-interest pairs were manually defined at each extracted fiber's termini and nonlinearly warped to a standard anatomical brain template to create an atlas of the region-of-interest pairs. The resulting atlas was then transformed non-linearly into the native space of 17 veteran patients' brains for automated brainstem tractography. Lastly, we assessed the relationships between the integrity levels of the obtained fiber bundles and pain severity levels. Fractional anisotropy (FA) measures derived using automated tractography reflected the respective tracts' FA levels obtained via manual tractography. A significant inverse relationship between FA and pain levels was detected within the automatically derived dorsal and medial longitudinal fasciculi of the brainstem. This study demonstrates the feasibility of DTI in exploring brainstem circuitries involved in pain processing. In this context, the described automated approach is a viable alternative to the time-consuming manual tractography. The physiological and functional relevance of the measures derived from automated tractography is evidenced by their relationships with individual pain severities.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PloS one, 2020 (prima pubblicazione 2020-02-18).
Identificativi: PMID 32069284 · PMCID PMC7028272 · DOI 10.1371/journal.pone.0213952.
Pagina: https://europepmc.org/article/MED/32069284 — https://doi.org/10.1371/journal.pone.0213952. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-11-09T11:02:55.992Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.