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- W4224991034 abstract "Previous work showed that elderly with excess in theta activity in their resting state electroencephalogram (EEG) are at higher risk of cognitive decline than those with a normal EEG. By using event-related potentials (ERP) during a counting Stroop task, our prior work showed that elderly with theta excess have a large P300 component compared with normal EEG group. This increased activity could be related to a higher EEG signal energy used during this task.By wavelet analysis applied to ERP obtained during a counting Stroop task we quantified the energy in the different frequency bands of a group of elderly with altered EEG.In theta and alpha bands, the total energy was higher in elderly subjects with theta excess, specifically in the stimulus categorization window (258-516 ms). Both groups solved the task with similar efficiency.The traditional ERP analysis in elderly compares voltage among conditions and groups for a given time window, while the frequency composition is not usually examined. We complemented our previous ERP analysis using a wavelet methodology. Furthermore, we showed the advantages of wavelet analysis over Short Time Fourier Transform when exploring EEG signal during this task.The higher EEG signal energy in ERP might reflect undergoing neurobiological mechanisms that allow the elderly with theta excess to cope with the cognitive task with similar behavioral results as the normal EEG group. This increased energy could promote a metabolic and cellular dysregulation causing a greater decline in cognitive function." @default.
- W4224991034 created "2022-04-28" @default.
- W4224991034 creator A5021020113 @default.
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- W4224991034 date "2022-07-01" @default.
- W4224991034 modified "2023-10-14" @default.
- W4224991034 title "Abnormal EEG signal energy in the elderly: A wavelet analysis of event-related potentials during a stroop task" @default.
- W4224991034 cites W1644143258 @default.
- W4224991034 cites W1969845534 @default.
- W4224991034 cites W1970251318 @default.
- W4224991034 cites W1978463534 @default.
- W4224991034 cites W1984828228 @default.
- W4224991034 cites W1985868638 @default.
- W4224991034 cites W1986523363 @default.
- W4224991034 cites W1986829148 @default.
- W4224991034 cites W1991926769 @default.
- W4224991034 cites W1999769006 @default.
- W4224991034 cites W2006246009 @default.
- W4224991034 cites W2007423303 @default.
- W4224991034 cites W2008440125 @default.
- W4224991034 cites W2012785000 @default.
- W4224991034 cites W2020997493 @default.
- W4224991034 cites W2025113356 @default.
- W4224991034 cites W2026157446 @default.
- W4224991034 cites W2034139177 @default.
- W4224991034 cites W2040919974 @default.
- W4224991034 cites W2043596210 @default.
- W4224991034 cites W2046476233 @default.
- W4224991034 cites W2050304075 @default.
- W4224991034 cites W2053407662 @default.
- W4224991034 cites W2055320361 @default.
- W4224991034 cites W2058559355 @default.
- W4224991034 cites W2061195971 @default.
- W4224991034 cites W2067495470 @default.
- W4224991034 cites W2070471559 @default.
- W4224991034 cites W2073112220 @default.
- W4224991034 cites W2073116837 @default.
- W4224991034 cites W2077733881 @default.
- W4224991034 cites W2083250197 @default.
- W4224991034 cites W2090048242 @default.
- W4224991034 cites W2090957367 @default.
- W4224991034 cites W2092414585 @default.
- W4224991034 cites W2092446568 @default.
- W4224991034 cites W2096438982 @default.
- W4224991034 cites W2097002860 @default.
- W4224991034 cites W2106706488 @default.
- W4224991034 cites W2112519660 @default.
- W4224991034 cites W2114512489 @default.
- W4224991034 cites W2118533364 @default.
- W4224991034 cites W2119642008 @default.
- W4224991034 cites W2121333382 @default.
- W4224991034 cites W2123608945 @default.
- W4224991034 cites W2129156265 @default.
- W4224991034 cites W2129215840 @default.
- W4224991034 cites W2131532121 @default.
- W4224991034 cites W2133173194 @default.
- W4224991034 cites W2134120396 @default.
- W4224991034 cites W2134513386 @default.
- W4224991034 cites W2144288495 @default.
- W4224991034 cites W2147008239 @default.
- W4224991034 cites W2148764920 @default.
- W4224991034 cites W2150704745 @default.
- W4224991034 cites W2156447271 @default.
- W4224991034 cites W2157084876 @default.
- W4224991034 cites W2157376352 @default.
- W4224991034 cites W2167775278 @default.
- W4224991034 cites W2168171053 @default.
- W4224991034 cites W2193775065 @default.
- W4224991034 cites W2197366587 @default.
- W4224991034 cites W2220576269 @default.
- W4224991034 cites W2336776673 @default.
- W4224991034 cites W2344859297 @default.
- W4224991034 cites W2509231614 @default.
- W4224991034 cites W2568407436 @default.
- W4224991034 cites W2732631268 @default.
- W4224991034 cites W2764285416 @default.
- W4224991034 cites W2777452620 @default.
- W4224991034 cites W2806146174 @default.
- W4224991034 cites W2809706895 @default.
- W4224991034 cites W2884900461 @default.
- W4224991034 cites W2901948205 @default.
- W4224991034 cites W2905795720 @default.
- W4224991034 cites W2945319794 @default.
- W4224991034 cites W2950936651 @default.
- W4224991034 cites W2982955874 @default.
- W4224991034 cites W3020837326 @default.
- W4224991034 cites W4211237560 @default.
- W4224991034 cites W4252713891 @default.
- W4224991034 cites W4376849352 @default.
- W4224991034 doi "https://doi.org/10.1016/j.jneumeth.2022.109608" @default.
- W4224991034 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35487316" @default.
- W4224991034 hasPublicationYear "2022" @default.
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