Human Claustrum Connections: Robust In Vivo Detection by <scp>DWI</scp>‐Based Tractography in Two Large Samples
Despite substantial neuroscience research in the last decade revealing the claustrum's prominent role in mammalian forebrain organization, as evidenced by its extraordinarily widespread connectivity pattern, claustrum studies in humans are rare. This is particularly true for studies focusing on claustrum connections. Two primary reasons may account for this situation: First, the intricate anatomy of the human claustrum located between the external and extreme capsule hinders straightforward and reliable structural delineation. In addition, the few studies that used diffusion-weighted-imaging (DWI)-based tractography could not clarify whether in vivo tractography consistently and reliably identifies claustrum connections in humans across different subjects, cohorts, imaging methods, and connectivity metrics. To address these issues, we combined a recently developed deep-learning-based claustrum segmentation tool with DWI-based tractography in two large adult cohorts: 81 healthy young adults from the human connectome project and 81 further healthy young participants from the Bavarian longitudinal study. Tracts between the claustrum and 13 cortical and 9 subcortical regions were reconstructed in each subject using probabilistic tractography. Probabilistic group average maps and different connectivity metrics were generated to assess the claustrum's connectivity profile as well as consistency and replicability of tractography. We found, across individuals, cohorts, DWI-protocols, and measures, consistent and replicable cortical and subcortical ipsi- and contralateral claustrum connections. This result demonstrates robust in vivo tractography of claustrum connections in humans, providing a base for further examinations of claustrum connectivity in health and disease.
Authors
- David Schinz (ORCID: https://orcid.org/0000-0003-3734-1135)
- Aurore Menegaux (ORCID: https://orcid.org/0000-0003-3965-0396)
- Jil Wendt
- Dieter Wolke (ORCID: https://orcid.org/0000-0003-0304-268X)
- Sevilay Ayyıldız (ORCID: https://orcid.org/0000-0001-6870-8177)
- Benita Schmitz‐Koep (ORCID: https://orcid.org/0000-0002-8874-5749)
- Henning Boecker (ORCID: https://orcid.org/0000-0003-2346-0598)
- Antonia Neubauer (ORCID: https://orcid.org/0000-0001-9820-3735)
- Dennis M. Hedderich (ORCID: https://orcid.org/0000-0001-8994-5593)
- Marcel Daamen (ORCID: https://orcid.org/0000-0002-3017-3901)
- Peter Bartmann (ORCID: https://orcid.org/0000-0002-7115-3552)
- Christian Sorg
- Claus Zimmer (ORCID: https://orcid.org/0000-0002-4805-9103)
- Rebecca Hippen
Institutions
- University Hospital Bonn (DE)
- University of Warwick (GB)
- Technical University of Munich (DE)
Publication Details
- Journal
- Human Brain Mapping
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/hbm.70042
- Citations
- 6
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Else Kröner-Fresenius-Stiftung
- Studienstiftung des Deutschen Volkes
- Horizon 2020 Framework Programme