Programa del congreso
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Ju-S5.1-PSB2: Procesado de señales biomédicas (II) Lugar: Salón de Actos Presidente de la sesión: Raimon Jané Campos Presidente de la sesión: Eduardo Gil Herrando | |
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16:00 - 16:15
Functional Connectivity across scales in Alzheimer’s Disease 1: Institut de Neurociències, Departament de Biomedicina, Universitat de Barcelona, Barcelona, Spain; 2: CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain; 3: Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi I Sunyer (FRCB-IDIBAPS), Barcelona, Spain Resting-state functional magnetic resonance imaging (rs-fMRI) enables the study of brain functional connectivity (FC) under different conditions and diseases, providing insights into brain organisation. In Alzheimer’s Disease (AD), abnormal brain Amyloid levels and altered structure and function of the brain appear years before clinical symptoms. Here, we implement a systematic approach to analyse brain FC patterns across multiple dimensionalities and their associations with clinical and demographic variables. We used fMRI data from 1890 individuals with normal or slightly elevated and brain Amyloid levels, from the LEARN and A4 studies, respectively, along with demographics and cognitive measures. Preprocessing was performed using an in-house automated pipeline including quality control. Independent Component Analysis (ICA) with 30 components was used to extract reference networks. Additional ICAs with varying-dimensionality (20-100 components) were conducted to capture FC across scales. An automated method was developed to identify corresponding components across ICAs was developed. Dual regression analyses were conducted to obtain individual FC matrices. General linear models were applied to assess group differences and correlations with age and cognitive scores. We identified consistent group differences and age-related associations in FC across levels of network granularity. These findings support the multiscale organization of brain networks and suggest that alterations in FC may reflect early AD-related changes. Multiscale FC analysis therefore represents a promising approach for identifying biomarkers of aging and early AD pathology.
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