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Abstract #0546

Distinct cognitive and anthropometric functional connectivity traits of cognitive decline in Parkinson’s disease using partial least squares.

Vicente Jose Ferrer-Gallardo1, Thomas Bolton2, Manuel Delgado3, Pedro M. Paz-Alonso1, Maricuz Rodriguez-Oroz4, and César Caballero-Gaudes1
1Basque Center on Cognition, Brain and Language, Donostia, Spain, 2Medical image processing, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, 3Department of Neurology, Sierrallana Hospital, Torrelavega, Spain, 4Neurology Department, Clinica Universidad de Navarra, Pamplona, Spain

Cognitive deficits in Parkinson’s Disease (PD) are associated with abnormalities in functional brain networks that can be observed at rest. This study investigates whole-brain independent functional-connectomes in PD patients with mild cognitive impairment (PD-MCI), associating these functional connectomes with cognitive and anthropometric measures using partial least squares (PLS) regression. We found a clear distinction between two sets (PLS-components) with functional connectomes either linked to cognitive scores or anthropometric variables. A PD-specific subcortical-cortical functional connectome was common in the two PLS-components. Furthermore, in PD-MCI a functional connectome defined by attentional and sensorimotor regions linked to attention and memory deficits is critical.

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