2016
DOI: 10.3233/jad-151034
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Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Multivariate Follow-Up Study

Abstract: Recent proposals of diagnostic criteria within the healthy aging-Alzheimer's disease (AD) continuum stressed the role of biomarker information. More importantly, such information might be critical to predict those mild cognitive impairment (MCI) patients at a higher risk of conversion to AD. Usually, follow-up studies utilize a reduced number of potential markers although the conversion phenomenon may be deemed as multifactorial in essence. In addition, not only biological but also cognitive markers may play a… Show more

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Cited by 46 publications
(46 citation statements)
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References 79 publications
(108 reference statements)
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“…Validation of these measures on an independent data set would indicate the utility in obtaining a clinically valid biomarker. Brain network connectivity measures are key markers of disease; neural networks are particularly vulnerable to neural dysfunction even in preclinical disease [23] and abnormalities can index disease severity [24,25] and predict conversion from MCI to AD [26,27]. We show patterns of functional connectivity within frequency bands, comparable with previous research: In frontal regions, connectivity was enhanced in the theta band, but diminished in the alpha band, and connectivity to posterior regions was reduced in both bands (broadband enhancement was probably dominated by slow frequency bands).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Validation of these measures on an independent data set would indicate the utility in obtaining a clinically valid biomarker. Brain network connectivity measures are key markers of disease; neural networks are particularly vulnerable to neural dysfunction even in preclinical disease [23] and abnormalities can index disease severity [24,25] and predict conversion from MCI to AD [26,27]. We show patterns of functional connectivity within frequency bands, comparable with previous research: In frontal regions, connectivity was enhanced in the theta band, but diminished in the alpha band, and connectivity to posterior regions was reduced in both bands (broadband enhancement was probably dominated by slow frequency bands).…”
Section: Discussionmentioning
confidence: 99%
“…Artifact-related components were removed. MEG data were segmented into 4-second epochs and filtered using a 2000th order FIR band-pass filter with a Hanning window into five bands (with 2 seconds of real data padding added either side): for source analysis: broad band (2-45 Hz), and for connectivity analysis: theta (4-8 Hz), alpha (8-12 Hz), beta (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and gamma (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45). The data were coregistered to the T1-weighted MRI and the forward model calculated using a realistic single shell head [11].…”
Section: Analysis 3: Source-level Power Analyses and Functional Connementioning
confidence: 99%
“…For example, the combination of genetic data, such as the APOE polymorphism characterization with MEG resting state analysis has revealed promising in identifying MCI subjects at high risk of conversion to AD dementia as well as asymptomatic subjects at high risk of developing significant cognitive deterioration [408]. Multifactorial characterization of MCI subjects, including neuropsychological assessment, structural and functional brain measures, APOE genotyping, demonstrated very high sensitivity and specificity for predicting conversion to AD [409]. …”
Section: Contribution and Role Of Magnetoencephalography (Meg)mentioning
confidence: 99%
“…Considering previous investigations that highlighted the role of educational attainment as a sensitive estimate of CR, this proxy was measured as years of formal education (range 1–25 years), and obtained by questioning participants or caregivers (see [21]).…”
Section: Methodsmentioning
confidence: 99%
“…In order to evaluate the global cognitive and functional status of the participants, all of them were screened by a set of standardized tests (for a review of the protocol, see [21]). Additionally, participants underwent an extensive neuropsychological assessment to explore their cognitive functioning by using the following tests: direct and inverse digit span test (DDS and IDS, Wechsler Memory Scale III, WMS-III) [22], immediate and delayed recall (IR and DR, WMS-III) [22], phonemic and semantic fluency (PhF and SF, controlled oral word association test) [23], ideomotor praxis of Barcelona test [24], visual object and space perception test (VOSP) [25], Boston naming test (BNT) [26], and trail-making test (TMT), parts A and B (TMT-A and TMT-B) [27].…”
Section: Methodsmentioning
confidence: 99%