RT Journal Article
T1 Brain signal complexity in adults with Down syndrome: Potential application in the detection of mild cognitive impairment
A1 Fernández Lucas, Alberto Amable
A1 Ramírez Toraño, Federico
A1 Bruña Fernández, Ricardo
A1 Zuluaga Arias, María del Pilar
A1 Esteba Castillo, Susanna
A1 Abásolo, Daniel
A1 Moldenhauer, Fernando
A1 Shumbayawonda, Elizabeth
A1 Maestu Unturbe, Fernando
A1 García Alba, Javier
AB Background: Down syndrome (DS) is considered the most frequent cause of early-onset Alzheimer’s disease (AD), and the typical pathophysiological signs are present in almost all individuals with DS by the age of 40. Despite of this evidence, the investigation on the pre-dementia stages in DS is scarce. In the present study we analyzed the complexity of brain oscillatory patterns and neuropsychological performance for the characterization of mild cognitive impairment (MCI) in DS. Materials and methods: Lempel-Ziv complexity (LZC) values from restingstatemagnetoencephalography recordings and the neuropsychological performance in 28 patients with DS [control DS group (CN-DS) (n = 14), MCI group (MCI-DS) (n = 14)] and 14 individuals with typical neurodevelopment (CN-no-DS) were analyzed.Results: Lempel-Ziv complexity was lowest in the frontal region within the MCI-DS group, while the CN-DS group showed reduced values in parietal areas when compared with the CN-no-DS group. Also, the CN-no-DS group exhibited the expected pattern of significant increase of LZC as a function of age, while MCI-DS cases showed a decrease. The combination of reduced LZC values and a divergent trajectory of complexity evolution with age, allowed the discrimination of CN-DS vs. MCI-DS patients with a 92.9% of sensitivity and 85.7% of specificity. Finally, a pattern of mnestic and praxic impairment was significantly associated in MCI-DS cases with the significant reduction of LZC values in frontal and parietal regions (p = 0.01). Conclusion: Brain signal complexity measured with LZC is reduced in DS and its development with age is also disrupted. The combination of both featuresmight assist in the detection of MCI within this population.
PB Frontiers Media
SN 1663-4365
YR 2022
FD 2022-10-20
LK https://hdl.handle.net/20.500.14352/91771
UL https://hdl.handle.net/20.500.14352/91771
LA eng
NO Fernández A, Ramírez-Toraño F, Bruña R, Zuluaga P, Esteba-Castillo S, Abásolo D, Moldenhauer F, Shumbayawonda E, Maestú F and García-Alba J (2022) Brain signal complexity in adults with Down syndrome: Potential application in the detection of mild cognitive impairment. Front. Aging Neurosci. 14:988540. doi: 10.3389/fnagi.2022.988540
NO Ministerio de Economía y Competitividad (Instituto de Salud Carlos III)
NO Jérôme Lejeune Foundation
NO Ministerio de Ciencia, Innovación y Universidades
DS Docta Complutense
RD 6 abr 2025