Person:
López Sanz, David

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First Name
David
Last Name
López Sanz
URI
https://hdl.handle.net/20.500.14352/76845
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Educación-Centro Formación Profesor
Department
Psicobiología y Metodología en Ciencias del Comportamiento
Area
Psicobiología
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    Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Multivariate Follow-Up Study
    (Journal of Alzheimer's Disease, 2016) López García, María Eugenia; Turrero Nogués, Agustín; Cuesta Prieto, Pablo; López Sanz, David; Bruña Fernández, Ricardo; Marcos Dolado, Alberto; Gil Gregorio, Pedro; Yus, Miguel; Barabash Bustelo, Ana; Cabranes Díaz, José Antonio; Maestu Unturbe, Fernando; Fernández Lucas, Alberto Amable
    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 an important role. Considering this background, we investigated the role of cognitive reserve, cognitive performance in neuropsychological testing, hippocampal volumes, APOE genotype, and magnetoencephalography power sources to predict the conversion to AD in a sample of 33 MCI patients. MCIs were followed up during a 2-year period and divided into two subgroups according to their outcome: The “stable” MCI group (sMCI, 21 subjects) and the “progressive” MCI group (pMCI, 12 subjects). Baseline multifactorial information was submitted to a hierarchical logistic regression analysis to build a predictive model of conversion to AD. Results indicated that the combination of left hippocampal volume, occipital cortex theta power, and clock drawing copy subtest scores predicted conversion to AD with a 100% of sensitivity and 94.7% of specificity. According to these results it might be suggested that anatomical, cognitive, and neurophysiological markers may be considered as “first order” predictors of progression to AD, while APOE or cognitive reserve proxies might play a more secondary role.
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    Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
    (Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 2021) Babiloni, Claudio; De Frutos Lucas, Jaisalmer; Fernández Lucas, Alberto Amable; López Sanz, David; Maestu Unturbe, Fernando; Guntekin, Bahar
    The Electrophysiology Professional Interest Area (EPIA) and Global Brain Consortium endorsed recommendations on candidate EEG measures for Alzheimer’s disease (AD) clinical trials. The Panel reviewed the field literature. As most consistent findings, AD patients with mild cognitive impairment and dementia showed abnormalities in peak frequency, power, and “interrelatedness” at posterior alpha (8-12 Hz) and widespread delta (<4 Hz) and theta(4-8 Hz) rhythms in relation to disease progression and interventions. The following consensus statements were subscribed: (i) Standardization of instructions to patients, rsEEG recording methods, and selection of artifact-free rsEEG periods are needed; (ii) Power density and “interrelatedness” rsEEG measures (e.g., directed transfer function, phase lag index, linear lagged connectivity, etc.) at delta, theta, and alpha frequency bands may be use for stratification of AD patients and monitoring of disease progression and intervention; and (iii) International multisectoral initiatives are mandatory for regulatory purposes.
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    Spatiotemporal oscillatory patterns during working memory maintenance in mild cognitive impairment and subjective cognitive decline
    (International Journal of Neural Systems, 2019) Serrano Martínez, Noelia; López Sanz, David; Bruña Fernández, Ricardo; Garcés, Pilar; Rodríguez Rojo, Inmaculada Concepción; Marcos Dolado, Alberto; Prada Crespo, David; Maestu Unturbe, Fernando
    Working memory (WM) is a crucial cognitive process and its disruption is among the earliest symptoms of Alzheimer’s disease. While alterations of the neuronal processes underlying WM have been evidenced in mild cognitive impairment (MCI), scarce literature is available in subjective cognitive decline (SCD). We used magnetoencephalography during a WM task performed by MCI (n=45), SCD (n=49) and healthy elders (n=49) to examine group differences during the maintenance period (0–4000ms). Data were analyzed using time–frequency analysis and significant oscillatory differences were localized at the source level. Our results indicated significant differences between groups, mainly during the early maintenance (250–1250ms) in the theta, alpha and beta bands and in the late maintenance (2750–3750ms) in the theta band. MCI showed lower local synchronization in fronto-temporal cortical regions in the early theta–alpha window relative to controls (p=2×10−03) and SCD (p=4×10−03), and in the late theta window relative to controls (p=1×1003) and SCD (p=0.01). Early theta–alpha power was significantly correlated with memory scores (rho=0.24,p=0.02) and late theta power was correlated with task performance (rho=0.24,p=0.03) and functional activity scores (rho=−0.23,p=0.02). In the early beta window, MCI showed reduced power in temporo-posterior regions relative to controls (p=3×10−03) and SCD (p=0.02). Our results may suggest that these alterations would reflect that memory-related networks are damaged.