期刊
NEUROBIOLOGY OF AGING
卷 61, 期 -, 页码 75-81出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2017.09.011
关键词
Prognosis; Predementia Alzheimer's disease; Single subject; Gray matter networks; Clinical progression
资金
- Stichting Alzheimer Nederland
- Stichting VUmc fonds
- Boehringer Ingelheim Pharma GmbH Co KG, Germany
- Netherlands Organisation for Health Research and Development (ZonMW) [733050506]
- NIHR-UCLH Biomedical Research Centre
We studied whether gray matter network parameters are associated with rate of clinical progression in nondemented subjects who have abnormal amyloid markers in the cerebrospinal fluid (CSF), that is, predementia Alzheimer's disease. Nondemented subjects (62 with subjective cognitive decline; 160 with mild cognitive impairment (MCI); age = 68 +/- 8 years; Mini-Mental State Examination (MMSE) = 28 +/- 2.4) were selected from the Amsterdam Dementia Cohort when they had abnormal amyloid in CSF (<640 pg/mL). Networks were extracted from gray matter structural magnetic resonance imaging (MRI), and 9 parameters were calculated. Cox proportional hazards models were used to test associations between each connectivity predictor and rate of progression to MCI or dementia. After a median time of 2.2 years, 122 (55%) subjects showed clinical progression. Lower network parameter values were associated with increased risk for progression, with the strongest hazard ratio of 0.29 for clustering (95% confidence interval = 0.12-0.70; p < 0.01). Results remained after correcting for tau, hippocampal volume, and MMSE scores. Our results suggest that at predementia stages, gray matter network parameters may have use to identify subjects who will show fast clinical progression. (C) 2017 Elsevier Inc. All rights reserved.
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