Examinando por Autor "Strafella, Antonio P."

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    A multi-site study on sex differences in cortical thickness in non-demented Parkinson’s disease
    (Nature Research, 2024-12) Oltra, Javier; Segura, Barbara; Strafella, Antonio P.; Eimeren, Thilo van; Ibarretxe Bilbao, Naroa; Díez Cirarda, María; Eggers, Carsten; Lucas Jiménez, Olaia; Monté Rubio, Gemma Cristina; Ojeda del Pozo, Natalia; Peña Lasa, Javier; Ruppert, Marina C.; Sala Llonch, Roser; Theis, Hendrik; Uribe, Carme; Junqué i Plaja, Carme
    Clinical, cognitive, and atrophy characteristics depending on sex have been previously reported in Parkinson’s disease (PD). However, though sex differences in cortical gray matter measures in early drug naïve patients have been described, little is known about differences in cortical thickness (CTh) as the disease advances. Our multi-site sample comprised 211 non-demented PD patients (64.45% males; mean age 65.58 ± 8.44 years old; mean disease duration 6.42 ± 5.11 years) and 86 healthy controls (50% males; mean age 65.49 ± 9.33 years old) with available T1-weighted 3 T MRI data from four international research centers. Sex differences in regional mean CTh estimations were analyzed using generalized linear models. The relation of CTh in regions showing sex differences with age, disease duration, and age of onset was examined through multiple linear regression. PD males showed thinner cortex than PD females in six frontal (bilateral caudal middle frontal, bilateral superior frontal, left precentral and right pars orbitalis), three parietal (bilateral inferior parietal and left supramarginal), and one limbic region (right posterior cingulate). In PD males, lower CTh values in nine out of ten regions were associated with longer disease duration and older age, whereas in PD females, lower CTh was associated with older age but with longer disease duration only in one region. Overall, male patients show a more widespread pattern of reduced CTh compared with female patients. Disease duration seems more relevant to explain reduced CTh in male patients, suggesting worse prognostic over time. Further studies should explore sex-specific cortical atrophy trajectories using large longitudinal multi-site data
  • Miniatura
    Ítem
    Parameters from site classification to harmonize MRI clinical studies: application to a multi-site Parkinson's disease dataset
    (John Wiley & Sons, Inc, 2022-03-19) Monté Rubio, Gemma Cristina; Segura, Barbara; Strafella, Antonio P.; Eimeren, Thilo van; Ibarretxe Bilbao, Naroa; Díez Cirarda, María ; Eggers, Carsten ; Lucas Jiménez, Olaia; Ojeda del Pozo, Natalia; Peña Lasa, Javier; Ruppert, Marina C. ; Sala Llonch, Roser ; Theis, Hendrik; Uribe, Carme; Junqué i Plaja, Carme
    Multi-site MRI datasets are crucial for big data research. However, neuroimaging studies must face the batch effect. Here, we propose an approach that uses the predictive probabilities provided by Gaussian processes (GPs) to harmonize clinical-based studies. A multi-site dataset of 216 Parkinson's disease (PD) patients and 87 healthy subjects (HS) was used. We performed a site GP classification using MRI data. The outcomes estimated from this classification, redefined like Weighted HARMonization PArameters (WHARMPA), were used as regressors in two different clinical studies: A PD versus HS machine learning classification using GP, and a VBM comparison (FWE-p <.05, k = 100). Same studies were also conducted using conventional Boolean site covariates, and without information about site belonging. The results from site GP classification provided high scores, balanced accuracy (BAC) was 98.39% for grey matter images. PD versus HS classification performed better when the WHARMPA were used to harmonize (BAC = 78.60%; AUC = 0.90) than when using the Boolean site information (BAC = 56.31%; AUC = 0.71) and without it (BAC = 57.22%; AUC = 0.73). The VBM analysis harmonized using WHARMPA provided larger and more statistically robust clusters in regions previously reported in PD than when the Boolean site covariates or no corrections were added to the model. In conclusion, WHARMPA might encode global site-effects quantitatively and allow the harmonization of data. This method is user-friendly and provides a powerful solution, without complex implementations, to clean the analyses by removing variability associated with the differences between sites.