4 documents found, page 1 of 1
Influence of PICALM and CLU risk variants on beta EEG activity in Alzheimer’s d...
Maturana-Candelas, A; Gómez, C; Poza, J; Rodríguez-González, V; Pablo, VGd; Lopes, AM; Pinto, N; Hornero, RPICALM and CLU genes have been linked to alterations in brain biochemical processes that may have an impact on Alzheimer’s disease (AD) development and neurophysiological dynamics. The aim of this study is to analyze the relationship between the electroencephalographic (EEG) activity and the PICALM and CLU alleles described as conferring risk or protective effects on AD patients and healthy controls. For this p...
Relationship between the presence of the ApoE e4 allele and EEG complexity alon...
Pablo, VGD; Gómez, C; Poza, J; Maturana-Candelas, A; Martins, S; Gomes, I; Lopes, AM; Pinto, N; Hornero, RAlzheimer’s disease (AD) is the most prevalent cause of dementia, being considered a major health problem, especially in developed countries. Late-onset AD is the most common form of the disease, with symptoms appearing after 65 years old. Genetic determinants of AD risk are vastly unknown, though, e4 allele of the ApoE gene has been reported as the strongest genetic risk factor for AD. The objective of this st...
Genome-wide scan for five brain oscillatory phenotypes identifies a new qtl ass...
Rebelo, MÂ; Gómez, C; Gomes, I; Poza, J; Martins, S; Maturana-Candelas, A; Ruiz-Gómez, SJ; Durães, L; Sousa, P; Figueruelo, M; Rodríguez, M; Pita, CBrain waves, measured by electroencephalography (EEG), are a powerful tool in the investigation of neurophysiological traits and a noninvasive and cost-effective alternative in the diagnostic of some neurological diseases. In order to identify novel Quantitative Trait Loci (QTLs) for brain wave relative power (RP), we collected resting state EEG data in five frequency bands (d, ¿, a, ß1, and ß2) and genome-wide...
EEG characterization of the Alzheimer's disease continuum by means of multiscal...
Maturana-Candelas, A; Gómez, C; Poza, J; Pinto, N; Hornero, RAlzheimer's disease (AD) is a neurodegenerative disorder with high prevalence, known for its highly disabling symptoms. The aim of this study was to characterize the alterations in the irregularity and the complexity of the brain activity along the AD continuum. Both irregularity and complexity can be studied applying entropy-based measures throughout multiple temporal scales. In this regard, multiscale sample ...