Manual segmentation of the paraventricular nucleus of the hypothalamus and the dorsal and ventral bed nucleus of stria terminalis using multimodal 7 Tesla structural MRI: probabilistic atlases for a stress-control triad.

Anxiety Bed nucleus of stria terminalis Manual segmentation Paraventricular nucleus of hypothalamus Probabilistic atlas Stress

Journal

Brain structure & function
ISSN: 1863-2661
Titre abrégé: Brain Struct Funct
Pays: Germany
ID NLM: 101282001

Informations de publication

Date de publication:
09 Oct 2023
Historique:
received: 29 01 2023
accepted: 18 09 2023
medline: 9 10 2023
pubmed: 9 10 2023
entrez: 9 10 2023
Statut: aheadofprint

Résumé

The paraventricular nucleus of the hypothalamus (PVN) is uniquely capable of proximal control over autonomic and neuroendocrine stress responses, and the bed nucleus of the stria terminalis (BNST) directly modulates PVN function, as well as playing an important role in stress control itself. The dorsal BNST (dBNST) is predominantly preautonomic, while the ventral BNST (vBNST) is predominantly viscerosensory, receiving dense noradrenergic signaling. Distinguishing the dBNST and vBNST, along with the PVN, may facilitate our understanding of dynamic interactions among these regions. T1-weighted MPRAGE and high resolution gradient echo (GRE) modalities were acquired at 7T. GRE was coregistered to MPRAGE and segmentations were performed in MRIcroGL based on their Atlas of the Human Brain depictions. The dBNST, vBNST and PVN were manually segmented in 25 participants; 10 images were rated by 2 raters. These segmentations were normalized and probabilistic atlases for each region were generated in MNI space, now available as resources for future research. We found moderate-high inter-rater reliability [n = 10; Mean Dice (SD); PVN = 0.69 (0.04); dBNST = 0.77 (0.04); vBNST = 0.62 (0.04)]. Probabilistic atlases were reverse normalized into native space for six additional participants that were segmented but not included in the original 25. We also found moderate to moderate-high reliability between the probabilistic atlases and manual segmentations [n = 6; Mean Dice (SD); PVN = 0.55 (0.12); dBNST = 0.60 (0.10); vBNST = 0.47 (0.12 SD)]. By isolating these hypothalamic and BNST subregions using ultra-high field MRI modalities, more specific delineations of these regions can facilitate greater understanding of mechanisms underlying stress-related function and psychopathology.

Identifiants

pubmed: 37812278
doi: 10.1007/s00429-023-02713-z
pii: 10.1007/s00429-023-02713-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH120065
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Brandon M Sibbach (BM)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Helmet T Karim (HT)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Daniel Lo (D)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Nithya Kasibhatla (N)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Tales Santini (T)

Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Jessica C Weber (JC)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Tamer S Ibrahim (TS)

Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Layla Banihashemi (L)

Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA. Layla.banihashemi@pitt.edu.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA. Layla.banihashemi@pitt.edu.

Classifications MeSH