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A Novel Computerized Cognitive Test for the Detection of Mild Cognitive Impairment and Its Association with Neurodegeneration in Alzheimer's Disease Prone Brain Regions.
Curiel Cid, Rosie E; Zheng, D Diane; Kitaigorodsky, Marcela; Adjouadi, Malek; Crocco, Elizabeth A; Georgiou, Mike; Gonzalez-Jimenez, Christian; Ortega, Alexandra; Goryawala, Mohammed; Nagornaya, Natalya; Pattany, Pradip; Sfakianaki, Efrosyni; Visser, Ubbo; Loewenstein, David A.
Afiliación
  • Curiel Cid RE; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Zheng DD; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Kitaigorodsky M; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Adjouadi M; Center for Advanced Technology and Education, Department of Electrical and Computer Engineering, College of Engineering and Computing, Florida International University, Miami, Florida, USA.
  • Crocco EA; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Georgiou M; Department of Radiology and Nuclear Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Gonzalez-Jimenez C; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Ortega A; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Goryawala M; Department of Radiology and Nuclear Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Nagornaya N; Department of Radiology and Nuclear Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Pattany P; Department of Radiology and Nuclear Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Sfakianaki E; Department of Radiology and Nuclear Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA.
  • Visser U; Department of Computer Science, University of Miami, Miami, Florida, USA.
  • Loewenstein DA; Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
Adv Alzheimer Dis ; 12(3): 38-54, 2023 Sep.
Article en En | MEDLINE | ID: mdl-38873169
ABSTRACT
During the prodromal stage of Alzheimer's disease (AD), neurodegenerative changes can be identified by measuring volumetric loss in AD-prone brain regions on MRI. Cognitive assessments that are sensitive enough to measure the early brain-behavior manifestations of AD and that correlate with biomarkers of neurodegeneration are needed to identify and monitor individuals at risk for dementia. Weak sensitivity to early cognitive change has been a major limitation of traditional cognitive assessments. In this study, we focused on expanding our previous work by determining whether a digitized cognitive stress test, the Loewenstein-Acevedo Scales for Semantic Interference and Learning, Brief Computerized Version (LASSI-BC) could differentiate between Cognitively Unimpaired (CU) and amnestic Mild Cognitive Impairment (aMCI) groups. A second focus was to correlate LASSI-BC performance to volumetric reductions in AD-prone brain regions. Data was gathered from 111 older adults who were comprehensively evaluated and administered the LASSI-BC. Eighty-seven of these participants (51 CU; 36 aMCI) underwent MR imaging. The volumes of 12 AD-prone brain regions were related to LASSI-BC and other memory tests correcting for False Discovery Rate (FDR). Results indicated that, even after adjusting for initial learning ability, the failure to recover from proactive semantic interference (frPSI) on the LASSI-BC differentiated between CU and aMCI groups. An optimal combination of frPSI and initial learning strength on the LASSI-BC yielded an area under the ROC curve of 0.876 (76.1% sensitivity, 82.7% specificity). Further, frPSI on the LASSI-BC was associated with volumetric reductions in the hippocampus, amygdala, inferior temporal lobes, precuneus, and posterior cingulate.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Alzheimer Dis Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Alzheimer Dis Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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