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Global and regional annual brain volume loss rates in physiological aging.
Schippling, Sven; Ostwaldt, Ann-Christin; Suppa, Per; Spies, Lothar; Manogaran, Praveena; Gocke, Carola; Huppertz, Hans-Jürgen; Opfer, Roland.
Afiliação
  • Schippling S; Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland. sven.schippling@usz.ch.
  • Ostwaldt AC; jung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
  • Suppa P; jung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
  • Spies L; jung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
  • Manogaran P; Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.
  • Gocke C; Medical Prevention Center Hamburg (MPCH), Falkenried 88, 20251, Hamburg, Germany.
  • Huppertz HJ; Swiss Epilepsy Centre, Bleulerstrasse 60, 8008, Zurich, Switzerland.
  • Opfer R; Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.
J Neurol ; 264(3): 520-528, 2017 Mar.
Article em En | MEDLINE | ID: mdl-28054131
ABSTRACT
The objective is to estimate average global and regional percentage brain volume loss per year (BVL/year) of the physiologically ageing brain. Two independent, cross-sectional single scanner cohorts of healthy subjects were included. The first cohort (n = 248) was acquired at the Medical Prevention Center (MPCH) in Hamburg, Germany. The second cohort (n = 316) was taken from the Open Access Series of Imaging Studies (OASIS). Brain parenchyma (BP), grey matter (GM), white matter (WM), corpus callosum (CC), and thalamus volumes were calculated. A non-parametric technique was applied to fit the resulting age-volume data. For each age, the BVL/year was derived from the age-volume curves. The resulting BVL/year curves were compared between the two cohorts. For the MPCH cohort, the BVL/year curve of the BP was an increasing function starting from 0.20% at the age of 35 years increasing to 0.52% at 70 years (corresponding values for GM ranged from 0.32 to 0.55%, WM from 0.02 to 0.47%, CC from 0.07 to 0.48%, and thalamus from 0.25 to 0.54%). Mean absolute difference between BVL/year trajectories across the age range of 35-70 years was 0.02% for BP, 0.04% for GM, 0.04% for WM, 0.11% for CC, and 0.02% for the thalamus. Physiological BVL/year rates were remarkably consistent between the two cohorts and independent from the scanner applied. Average BVL/year was clearly age and compartment dependent. These results need to be taken into account when defining cut-off values for pathological annual brain volume loss in disease models, such as multiple sclerosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: J Neurol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: J Neurol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Suíça