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Altered Iron and Microstructure in Huntington's Disease Subcortical Nuclei: Insight From 7T MRI.
Yao, Jingwen; Morrison, Melanie A; Jakary, Angela; Avadiappan, Sivakami; Rowley, Paul; Glueck, Julia; Driscoll, Theresa; Geschwind, Michael D; Nelson, Alexandra B; Possin, Kathrine L; Xu, Duan; Hess, Christopher P; Lupo, Janine M.
Afiliación
  • Yao J; Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.
  • Morrison MA; Department of Radiological Sciences, UCLA, Los Angeles, California, USA.
  • Jakary A; Department of Bioengineering, UCLA, Los Angeles, California, USA.
  • Avadiappan S; Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.
  • Rowley P; UCSF/UC Berkeley Graduate Program in Bioengineering, San Francisco and Berkeley, California, USA.
  • Glueck J; Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.
  • Driscoll T; Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.
  • Geschwind MD; Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.
  • Nelson AB; Department of Neurology, UCSF, San Francisco, California, USA.
  • Possin KL; Department of Neurology, UCSF, San Francisco, California, USA.
  • Xu D; Department of Neurology, UCSF, San Francisco, California, USA.
  • Hess CP; Department of Neurology, UCSF, San Francisco, California, USA.
  • Lupo JM; Department of Neurology, UCSF, San Francisco, California, USA.
J Magn Reson Imaging ; 2024 Jan 11.
Article en En | MEDLINE | ID: mdl-38206986
ABSTRACT

BACKGROUND:

Pathophysiological changes of Huntington's disease (HD) can precede symptom onset by decades. Robust imaging biomarkers are needed to monitor HD progression, especially before the clinical onset.

PURPOSE:

To investigate iron dysregulation and microstructure alterations in subcortical regions as HD imaging biomarkers, and to associate such alterations with motor and cognitive impairments. STUDY TYPE Prospective. POPULATION Fourteen individuals with premanifest HD (38.0 ± 11.0 years, 9 females; far-from-onset N = 6, near-onset N = 8), 21 manifest HD patients (49.1 ± 12.1 years, 11 females), and 33 age-matched healthy controls (43.9 ± 12.2 years, 17 females). FIELD STRENGTH/SEQUENCE 7 T, T1 -weighted imaging, quantitative susceptibility mapping, and diffusion tensor imaging. ASSESSMENT Volume, susceptibility, fractional anisotropy (FA), and mean diffusivity (MD) within subcortical brain structures were compared across groups, used to establish HD classification models, and correlated to clinical measures and cognitive assessments. STATISTICAL TESTS Generalized linear model, multivariate logistic regression, receiver operating characteristics with the area under the curve (AUC), and likelihood ratio test comparing a volumetric model to one that also includes susceptibility and diffusion metrics, Wilcoxon paired signed-rank test, and Pearson's correlation. A P-value <0.05 after Benjamini-Hochberg correction was considered statistically significant.

RESULTS:

Significantly higher striatal susceptibility and FA were found in premanifest and manifest HD preceding atrophy, even in far-from-onset premanifest HD compared to controls (putamen susceptibility 0.027 ± 0.022 vs. 0.018 ± 0.013 ppm; FA 0.358 ± 0.048 vs. 0.313 ± 0.039). The model with additional susceptibility, FA, and MD features showed higher AUC compared to volume features alone when differentiating premanifest HD from HC (0.83 vs. 0.66), and manifest from premanifest HD (0.94 vs. 0.83). Higher striatal susceptibility significantly correlated with cognitive deterioration in HD (executive function r = -0.600; socioemotional function r = -0.486). DATA

CONCLUSION:

7 T MRI revealed iron dysregulation and microstructure alterations with HD progression, which could precede volume loss, provide added value to HD differentiation, and might be associated with cognitive changes. EVIDENCE LEVEL 2 TECHNICAL EFFICACY Stage 2.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2024 Tipo del documento: Article