{Reference Type}: Journal Article
{Title}: Stage-dependent differential impact of network communication on cognitive function across the continuum of cognitive decline in Parkinson's disease.
{Author}: Li X;Pang H;Bu S;Zhao M;Wang J;Liu Y;Yu H;Fan G;
{Journal}: Neurobiol Dis
{Volume}: 199
{Issue}: 0
{Year}: 2024 Sep 24
{Factor}: 7.046
{DOI}: 10.1016/j.nbd.2024.106578
{Abstract}: <B>OBJECTIVE: </B>Our objective was to explore the patterns of resting-state network (RSN) connectivity alterations and investigate how the influences of individual-level network connections on cognition varied across clinical stages without assuming a constant relationship.<BR><B>METHODS: </B>108 PD patients with continuum of cognitive decline (PD-NC = 46, PD-MCI = 43, PDD = 19) and 34 healthy controls (HCs) underwent resting-state functional MRI and neuropsychological tests. Independent component analysis (ICA) and graph theory analyses (GTA) were employed to explore RSN connection changes. Additionally, stage-dependent differential impact of network communication on cognitive performance were examined using sparse varying coefficient modeling.<BR><B>RESULTS: </B>Compared to HCs, the dorsal attention network (DAN) and dorsal sensorimotor network (dSMN) were central networks with decreased connections in PD-NC and PD-MCI stage, while the lateral visual network (LVN) emerged as a central network in patients with dementia. Additionally, connectivity of the cerebellum network (CBN) increased in the PD-NC and PD-MCI stages. GTA demonstrated decreased nodal metrics for DAN and dSMN, coupled with an increase for CBN. Moreover, the degree centrality (DC) values of DAN and dSMN exhibited a stage-dependent differential impact on cognitive performance across the continuum of cognitive decline.<BR><B>CONCLUSIONS: </B>Our findings suggest that across the progression of cognitive impairment, the LVN gradually transitions into a core node with reduced connectivity, while the enhancement of connections in CBN diminishes. Furthermore, the non-linear relationship between the DC values of RSNs and cognitive decline indicates the potential for tailored interventions targeting specific stages.