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P1‐141: GENETIC FINDINGS USING ADNI MULTIMODAL QUANTITATIVE PHENOTYPES: A REVIEW OF PAPERS PUBLISHED IN 2013
Author(s) -
Yao Xiaohui,
Chen Rui,
Kim Sungeun,
Yan Jingwen,
Du Lei,
Nho Kwangsik T.,
Foroud Tatiana,
Moore Jason,
Weiner Michael Walter,
Saykin Andrew J.,
Shen Li
Publication year - 2014
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2014.05.378
Subject(s) - genome wide association study , genetic association , computational biology , neuroimaging , genotyping , phenotype , biology , genotype , genetics , gene , single nucleotide polymorphism , neuroscience
are useful physiological biomarkers in the diagnosis of dementias such as Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB). However quantitative electrophysiological biomarkers such as the SIGLA modalities developed by MentisCura have been reported to be applicable in this regard as well. In the present workwe validate the properties of the SIGLAmodalities by applying them to an independent cohort of patients and healthy controls. Methods: One hundred and three subjects (21 controls (CTRL), 34 AD, 21 Parkinson’s disease dementia (PDD) and 26 DLB) were recruited and underwent high density electroencephalography (EEG) as well as detailed clinical and cognitive workup. The EEG was recorded for 3 minutes with subjects at rest with eyes closed and 19 electrodes were selected according to 10-20 system for analysis covering bilaterally frontal, central and posterior areas. The properties of the SIGLA disease modalities were then mapped out by performing receiver operator curve (ROC) statistics on the stand alone diagnostic properties. The behavior of the different cohorts in terms of the one of the indices, the cholindex (CI) levels were then analyzed.Results: The SIGLAmodalities separated the CTRL and AD cohorts with area under curve (AUC)1⁄40.90, accuracy (ACC)1⁄488%, specificity (SPE)1⁄490% and sensitivity (SEN)1⁄485%. The statistics for the CTRL compared to the combined DLB and PDD (LP) cohorts were AUC1⁄40.96, ACC1⁄491%, SPE1⁄491%, and SEN1⁄490%. Contrasting the AD cohort with the LP cohort yielded AUC1⁄40.76, ACC1⁄478%, SPE1⁄476%, and SEN1⁄479%. Separation when contrasting the DLB and PDD cohorts was insignificant. In terms of the CI the cohorts, CTRL, AD and LP were found to be significantly different with the lowest expression in the LP cohorts; CI(CTRL)1⁄4101.6(25.4), CI(AD)1⁄463.4(25.6), and CI(LP)1⁄446.3(17.6). Conclusions: The outcome confirms the general findings previously reported on the properties of the SIGLA modalities in an independent cohort, and demonstrates that application of such modalities in the clinical setting may be relevant, in particular if further independent studies confirm the robustness of the technique.