Examinando por Autor "Galdos Iztueta, Marta"

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  • Miniatura
    Ítem
    Brain degeneration in synucleinopathies based on analysis of cognition and other nonmotor features: a multimodal imaging study
    (MDPI, 2023-02-15) Lucas Jiménez, Olaia; Ibarretxe Bilbao, Naroa; Diez, Ibai; Peña Lasa, Javier ; Tijero Merino, Beatriz; Galdos Iztueta, Marta; Murueta-Goyena Larrañaga, Ane; Pino, Rocío del; Acera Gil, María Ángeles ; Gómez Esteban, Juan Carlos; Gabilondo Cuellar, Iñigo; Ojeda del Pozo, Natalia
    Background: We aimed to characterize subtypes of synucleinopathies using a clustering approach based on cognitive and other nonmotor data and to explore structural and functional magnetic resonance imaging (MRI) brain differences between identified clusters. Methods: Sixty-two patients (n = 6 E46K-SNCA, n = 8 dementia with Lewy bodies (DLB) and n = 48 idiopathic Parkinson’s disease (PD)) and 37 normal controls underwent nonmotor evaluation with extensive cognitive assessment. Hierarchical cluster analysis (HCA) was performed on patients’ samples based on nonmotor variables. T1, diffusion-weighted, and resting-state functional MRI data were acquired. Whole-brain comparisons were performed. Results: HCA revealed two subtypes, the mild subtype (n = 29) and the severe subtype (n = 33). The mild subtype patients were slightly impaired in some nonmotor domains (fatigue, depression, olfaction, and orthostatic hypotension) with no detectable cognitive impairment; the severe subtype patients (PD patients, all DLB, and the symptomatic E46K-SNCA carriers) were severely impaired in motor and nonmotor domains with marked cognitive, visual and bradykinesia alterations. Multimodal MRI analyses suggested that the severe subtype exhibits widespread brain alterations in both structure and function, whereas the mild subtype shows relatively mild disruptions in occipital brain structure and function. Conclusions: These findings support the potential value of incorporating an extensive nonmotor evaluation to characterize specific clinical patterns and brain degeneration patterns of synucleinopathies.
  • Miniatura
    Ítem
    Retinal thickness predicts the risk of cognitive decline in Parkinson disease
    (John Wiley and Sons Inc, 2021-01) Murueta-Goyena Larrañaga, Ane ; Pino, Rocío del; Galdos Iztueta, Marta; Arana Larrea, Begoña; Acera Gil, María Ángeles ; Carmona Abellán, Mar; Fernández Valle, Tamara ; Tijero Merino, Beatriz ; Lucas Jiménez, Olaia; Ojeda del Pozo, Natalia ; Ibarretxe Bilbao, Naroa ; Peña Lasa, Javier; Cortés, Jesús; Ayala Fernández, Unai; Barrenechea Carrasco, Maitane; Gómez Esteban, Juan Carlos ; Gabilondo Cuellar, Iñigo
    Objective: This study was undertaken to analyze longitudinal changes of retinal thickness and their predictive value as biomarkers of disease progression in idiopathic Parkinson's disease (iPD). Methods: Patients with Lewy body diseases were enrolled and prospectively evaluated at 3 years, including patients with iPD (n = 42), dementia with Lewy bodies (n = 4), E46K-SNCA mutation carriers (n = 4), and controls (n = 17). All participants underwent Spectralis retinal optical coherence tomography and Montreal Cognitive Assessment, and Unified Parkinson's Disease Rating Scale score was obtained in patients. Macular ganglion cell–inner plexiform layer complex (GCIPL) and peripapillary retinal nerve fiber layer (pRNFL) thickness reduction rates were estimated with linear mixed models. Risk ratios were calculated to evaluate the association between baseline GCIPL and pRNFL thicknesses and the risk of subsequent cognitive and motor worsening, using clinically meaningful cutoffs. Results: GCIPL thickness in the parafoveal region (1- to 3-mm ring) presented the largest reduction rate. The annualized atrophy rate was 0.63μm in iPD patients and 0.23μm in controls (p < 0.0001). iPD patients with lower parafoveal GCIPL and pRNFL thickness at baseline presented an increased risk of cognitive decline at 3 years (relative risk [RR] = 3.49, 95% confidence interval [CI] = 1.10–11.1, p = 0.03 and RR = 3.28, 95% CI = 1.03–10.45, p = 0.045, respectively). We did not identify significant associations between retinal thickness and motor deterioration. Interpretation: Our results provide evidence of the potential use of optical coherence tomography–measured parafoveal GCIPL thickness to monitor neurodegeneration and to predict the risk of cognitive worsening over time in iPD