Disrupted salience network dynamics in Parkinson's disease patients with impulse control disorders

Navalpotro‐Gómez, Irene; Kim, Jinhee; Paz‐Alonso, Pedro M.; Delgado-Alvarado, Manuel; Quiroga-Varela, Ana; Jiménez-Urbieta, Haritz; Carreiras, Manuel; Strafella, Antonio P.; Rodriguez-Oroz, María C.

doi:10.1016/j.parkreldis.2019.12.009

Cited by 33 publications

(31 citation statements)

References 30 publications

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“…In contrast, increased morphological connections were observed in PD mainly involving the frontoparietal and salience network, which subserve cognitive and executive functions (Menon 2011). Our findings are consistent with numerous studies showing greater activation (Caminiti et al 2015;Marie et al 2007), and increased centrality (Zhang et al 2015b) and functional connectivity (de Schipper et al 2018;Navalpotro-Gomez et al 2020) in PD. These increases may perhaps reflect cerebral compensation for primary pathophysiological changes.…”

Section: Discussionsupporting

confidence: 91%

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Suo

Lei

et al. 2021

Brain Struct Funct

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While previous structural-covariance studies have an advanced understanding of brain alterations in Parkinson's disease (PD), brain–behavior relationships have not been examined at the individual level. This study investigated the topological organization of grey matter (GM) networks, their relation to disease severity, and their potential imaging diagnostic value in PD. Fifty-four early-stage PD patients and 54 healthy controls (HC) underwent structural T1-weighted magnetic resonance imaging. GM networks were constructed by estimating interregional similarity in the distributions of regional GM volume using the Kullback–Leibler divergence measure. Results were analyzed using graph theory and network-based statistics (NBS), and the relationship to disease severity was assessed. Exploratory support vector machine analyses were conducted to discriminate PD patients from HC and different motor subtypes. Compared with HC, GM networks in PD showed a higher clustering coefficient (P = 0.014) and local efficiency (P = 0.014). Locally, nodal centralities in PD were lower in postcentral gyrus and temporal-occipital regions, and higher in right superior frontal gyrus and left putamen. NBS analysis revealed decreased morphological connections in the sensorimotor and default mode networks and increased connections in the salience and frontoparietal networks in PD. Connection matrices and graph-based metrics allowed single-subject classification of PD and HC with significant accuracy of 73.1 and 72.7%, respectively, while graph-based metrics allowed single-subject classification of tremor-dominant and akinetic–rigid motor subtypes with significant accuracy of 67.0%. The topological organization of GM networks was disrupted in early-stage PD in a way that suggests greater segregation of information processing. There is potential for application to early imaging diagnosis.

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Section: Discussionsupporting

confidence: 91%

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Suo

Lei

et al. 2021

Brain Struct Funct

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“…In the single study that examined dynamic functional connectivity over time, ICB+ vs ICB-were found to be engaged for longer in a brain configuration pattern characterized by strong 'within' network connections between superior temporal lobe, fronto-insular and cingulate cortices, at the expense of connectivity with other networks. The same study also reported increased local efficiency within the superior temporal lobe, fronto-insular and cingulate cortices [36].…”

Section: Resting-state Fmri Studiesmentioning

confidence: 69%

“…Of the included 30 papers, 12 evaluated structural alterations [13][14][15][16][17][18][19][20][21][22][23][24], 12 evaluated functional alterations [25][26][27][28][29][30][31][32][33][34][35][36], and 6 included both structural and functional measures [37][38][39][40][41][42]. The study of Hammes et al [18] was included in the structural section only, as no between groups analysis was done in functional alteration analysis.…”

Section: Search Resultsmentioning

confidence: 99%

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Incentive-driven decision-making networks in de novo and drug-treated Parkinson's disease patients with impulsive-compulsive behaviors: A systematic review of neuroimaging studies

Martini

Tamburin

Biundo

et al. 2020

Parkinsonism & Related Disorders

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Background: In Parkinson's disease (PD), impulsive-compulsive behaviors (ICBs) may develop as side-effect of dopaminergic medications. Abnormal incentive-driven decision-making, which is supported by the cognitive control and motivation interaction, may represent an ICBs signature. This systematic review explored whether structural and/or functional brain differences between PD patients with vs without ICBs encompass incentive-driven decision-making networks.Methods: Structural and functional neuroimaging studies comparing PD patients with and without ICBs, either de novo or medicated, were included.Results: Thirty articles were identified. No consistent evidence of structural alteration both in de novo and medicated PD patients were found. Differences in connectivity within the default mode,the salience and the central executive networks predate ICBs development and remain stable once ICBs are fully developed. Medicated PD patients with ICBs show increased metabolism and cerebral blood flow in orbitofrontal and cingulate cortices, ventral striatum, amygdala, insula, temporal and supramarginal gyri. Abnormal ventral striatum connectivity with anterior cingulate cortex and limbic structures was reported in PD patients with ICBs.Discussion: Functional brain signatures of ICBs in PD encompass areas involved in cognitive control and motivational encoding networks of the incentive-driven decision-making. Functional alterations predating ICBs may be related to abnormal synaptic plasticity in these networks.

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“…Tahmasian et al reported aberrant FC in bilateral inferior parietal lobule and the supramarginal gyrus in PD patients and found that these regions formed an interconnected network in PD patients, mainly with the DMN (Tahmasian et al., 2017). In another article, functional connections of the SN increase in group comparisons PD and HC (Navalpotro‐Gomez et al., 2020). Tessitore's et al also examined the salience, central executive, and DMN and showed that there was an increase in connectivity in the SN and DMN, as well as reduced connectivity in the central executive networks (Tessitore et al., 2017).…”

Section: Introductionmentioning

confidence: 98%

Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study

2021

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Purpose Resting‐state functional magnetic resonance imaging (Rs‐fMRI) can be used to investigate the alteration of resting‐state brain networks (RSNs) in patients with Parkinson's disease (PD) when compared with healthy controls (HCs). The aim of this study was to identify the differences between individual RSNs and reveal the most important discriminatory characteristic of RSNs between the HCs and PDs. Methods This study used Rs‐fMRI data of 23 patients with PD and 18 HCs. Group independent component analysis (ICA) was performed, and 23 components were extracted by spatially overlapping the components with a template RSN. The extracted components were used in the following three methods to compare RSNs of PD patients and HCs: (1) a subject‐specific score based on group RSNs and a dual‐regression approach (namely RSN scores); (2) voxel‐wise comparison of the RSNs in the PD patient and HC groups using a nonparametric permutation test; and (3) a hierarchical clustering analysis of RSNs in the PD patient and HC groups. Results The results of RSN scores showed a significant decrease in connectivity in seven ICs in patients with PD compared with HCs, and this decrease was particularly striking on the lateral and medial posterior occipital cortices. The results of hierarchical clustering of the RSNs revealed that the cluster of the default mode network breaks down into the three other clusters in PD patients. Conclusion We found various characteristics of the alteration of the RSNs in PD patients compared with HCs. Our results suggest that different characteristics of RSNs provide insights into the biological mechanism of PD.

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Disrupted salience network dynamics in Parkinson's disease patients with impulse control disorders

Cited by 33 publications

References 30 publications

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Incentive-driven decision-making networks in de novo and drug-treated Parkinson's disease patients with impulsive-compulsive behaviors: A systematic review of neuroimaging studies

Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study

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