000153094 001__ 153094
000153094 005__ 20250410160822.0
000153094 0247_ $$2doi$$a10.3389/fnagi.2025.1540168
000153094 0248_ $$2sideral$$a143616
000153094 037__ $$aART-2025-143616
000153094 041__ $$aeng
000153094 100__ $$aPerez, Vanesa
000153094 245__ $$aLinking cognitive reserve to neuropsychological outcomes and resting-state frequency bands in healthy aging
000153094 260__ $$c2025
000153094 5060_ $$aAccess copy available to the general public$$fUnrestricted
000153094 5203_ $$aIntroductionAs the proportion of older people has surged in the past 100 years, healthy aging has emerged as a crucial topic in neuroscience research. This study aimed to investigate the spectral power of EEG frequency bands during resting-state in older people with high and low cognitive reserve (CR).MethodsTo do so, 74 healthy older people (55–74 years old) were recruited and divided into two groups based on their level of CR: high CR (n = 41; 21 men and 20 women) and low CR (n = 33; 15 men and 18 women). Both groups participated in a cognitive assessment and 3 min of EEG recording under resting-state conditions with eyes open (EO) and eyes closed (EC). EEG power was analyzed across four frequency bands: delta (0.1– < 4 Hz), theta (4– < 8 Hz), alpha1 (8–10 Hz), alpha2 (10–12), and beta (14–30 Hz), focusing on five cortical regions of interest.ResultsNeuropsychological tests did not reveal significant differences between the two groups on most of the cognitive measures. However, the EEG analysis showed that individuals with high CR exhibited lower spectral power in the theta and delta frequency bands across different brain regions, compared to those with low CR.DiscussionThese findings suggest that individuals with high CR tend to function more efficiently, relying on fewer neural resources to sustain cognitive performance. In contrast, those with low CR may engage compensatory neural mechanisms, as indicated by increased spectral power while resting, conceivably reflecting the brain’s effort to preserve cognitive function.
000153094 536__ $$9Info:eu-repo/grantAgreement/ES/AEI/PID2020-119406GB-I00$$9info:eu-repo/grantAgreement/ES/AEI/RED2022-134191-T$$9info:eu-repo/grantAgreement/ES/DGA/S31-23R
000153094 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000153094 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000153094 700__ $$0(orcid)0000-0003-3920-1099$$aHidalgo, Vanesa$$uUniversidad de Zaragoza
000153094 700__ $$aSalvador, Alicia
000153094 7102_ $$14009$$2725$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Psicobiología
000153094 773__ $$g17 (2025), [9 pp.]$$pFrontiers in aging neuroscience$$tFrontiers in aging neuroscience$$x1663-4365
000153094 8564_ $$s1542186$$uhttps://zaguan.unizar.es/record/153094/files/texto_completo.pdf$$yVersión publicada
000153094 8564_ $$s2132141$$uhttps://zaguan.unizar.es/record/153094/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000153094 909CO $$ooai:zaguan.unizar.es:153094$$particulos$$pdriver
000153094 951__ $$a2025-04-10-14:04:39
000153094 980__ $$aARTICLE