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. 2024 Jul;60(1):3795-3811.
doi: 10.1111/ejn.16380. Epub 2024 May 16.

A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease

Renxi Li  1   2 , Vincent Pozorski  1   2 , Kevin Dabbs  2 , Maureen Haebig  1   2 , Christopher R Cox  3 , Colleen Pletcher  1   2 , Alexandra Wey  1   2 , Amy Barzgari  1   2 , Frances Theisen  1   2 , Ozioma Okonkwo  4   5 , Catherine L Gallagher  1   2   5
Affiliations

A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease

Renxi Li et al. Eur J Neurosci. 2024 Jul.

Abstract

Resting state functional magnetic resonance imaging (R-fMRI) offers insight into how synchrony within and between brain networks is altered in disease states. Individual and disease-related variability in intrinsic connectivity networks may influence our interpretation of R-fMRI data. We used a personalized approach designed to account for individual variation in the spatial location of correlation maxima to evaluate R-fMRI differences between Parkinson's disease (PD) patients who showed cognitive decline, those who remained cognitively stable and cognitively stable controls. We compared fMRI data from these participant groups, studied at baseline and 18 months later, using both network-based statistics (NBS) and calculations of mean inter- and intra-network connectivity within pre-defined functional networks. The NBS analysis showed that PD participants who remained cognitively stable showed exclusively (at baseline) or predominantly (at follow-up) increased intra-network connectivity, whereas decliners showed exclusively reduced intra-network and inter- (ventral attention and default mode) connectivity, in comparison with the control group. Evaluation of mean connectivity between all regions of interest (ROIs) within a priori networks showed that decliners had consistently reduced inter-network connectivity for ventral attention, somatomotor, visual and striatal networks and reduced intra-network connectivity for ventral attention network to striatum and cerebellum. These findings suggest that specific functional connectivity covariance patterns differentiate PD cognitive subtypes and may predict cognitive decline. Further, increased intra and inter-network synchrony may support cognitive function in the face of PD-related network disruptions.

Keywords: ageing; functional MRI; humans; magnetic resonance imaging; neurodegenerative disease.

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