In vivo 3D Reconstruction of the Human Pallidothalamic and Nigrothalamic Pathways With Super-Resolution 7T MR Track Density Imaging and Fiber Tractography

Dae Hyuk Kwon, Sun Ha Paek, Young Bo Kim, Haigun Lee, Zang Hee Cho

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The output network of the basal ganglia plays an important role in motor, associative, and limbic processing and is generally characterized by the pallidothalamic and nigrothalamic pathways. However, these connections in the human brain remain difficult to elucidate because of the resolution limit of current neuroimaging techniques. The present study aimed to investigate the mesoscopic nature of these connections between the thalamus, substantia nigra pars reticulata, and globus pallidus internal segment using 7 Tesla (7T) magnetic resonance imaging (MRI). In this study, track-density imaging (TDI) of the whole human brain was employed to overcome the limitations of observing the pallidothalamic and nigrothalamic tracts. Owing to the super-resolution of the TD images, the substructures of the SN, as well as the associated tracts, were identified. This study demonstrates that 7T MRI and MR tractography can be used to visualize anatomical details, as well as 3D reconstruction, of the output projections of the basal ganglia.

Original languageEnglish
Article number739576
JournalFrontiers in Neuroanatomy
Volume15
DOIs
Publication statusPublished - 2021 Oct 27

Keywords

  • H-field
  • ansa lenticularis
  • fasciculus lenticularis
  • fasciculus thalamicus
  • nigrothalamic tract
  • pallidothalamic tract
  • substantia nigra pars reticulata
  • thalamic substructure

ASJC Scopus subject areas

  • Anatomy
  • Neuroscience (miscellaneous)
  • Cellular and Molecular Neuroscience

Fingerprint

Dive into the research topics of 'In vivo 3D Reconstruction of the Human Pallidothalamic and Nigrothalamic Pathways With Super-Resolution 7T MR Track Density Imaging and Fiber Tractography'. Together they form a unique fingerprint.

Cite this