4 documents found, page 1 of 1
Amygdalar nuclei and hippocampal subfields on MRI: test-retest reliability of a...
Quattrini, Giulia; Pievani, Michela; Jovicich, Jorge; Aiello, Marco; Bargalló, Núria; Barkhof, Frederik; Bartres-Faz, David; Beltramello, AlbertoThe amygdala and the hippocampus are two limbic structures that play a critical role in cognition and behavior, however their manual segmentation and that of their smaller nuclei/subfields in multicenter datasets is time consuming and difficult due to the low contrast of standard MRI. Here, we assessed the reliability of the automated segmentation of amygdalar nuclei and hippocampal subfields across sites and v...
Biomarker-based prognosis for people with mild cognitive impairment (ABIDE) : a...
van Maurik, Ingrid S; Vos, Stephanie J.; Bos, Isabelle; Bouwman, Femke H; Teunissen, Charlotte E.; Scheltens, Philip; Barkhof, Frederik; Frolich, LutzBackground: Biomarker-based risk predictions of dementia in people with mild cognitive impairment are highly relevant for care planning and to select patients for treatment when disease-modifying drugs become available. We aimed to establish robust prediction models of disease progression in people at risk of dementia. Methods: In this modelling study, we included people with mild cognitive impairment (MCI) fro...
Clinical value of cerebrospinal fluid neurofilament light chain in semantic dem...
Meeter, Lieke H. H.; Steketee, Rebecca M. E.; Salkovic, Dina; Vos, Maartje E.; Grossman, Murray; McMillan, Corey T.; Irwin, David J.; Boxer, Adam L.Background: Semantic dementia (SD) is a neurodegenerative disorder characterised by progressive language problems falling within the clinicopathological spectrum of frontotemporal lobar degeneration (FTLD). The development of disease-modifying agents may be facilitated by the relative clinical and pathological homogeneity of SD, but we need robust monitoring biomarkers to measure their efficacy. In different FT...
Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a ...
van Maurik, Ingrid S.; Vos, Stephanie J.; Bos, Isabelle; Bouwman, Femke H.; Teunissen, Charlotte E.; Scheitens, Philip; Barkhof, Frederik; Frolich, LutzBackground Biomarker-based risk predictions of dementia in people with mild cognitive impairment are highly relevant for care planning and to select patients for treatment when disease-modifying drugs become available. We aimed to establish robust prediction models of disease progression in people at risk of dementia. Methods In this modelling study, we included people with mild cognitive impairment (MCI) from ...