Parkinson's Disease (PD) exhibits heterogeneous cognitive deficits that may represent different cognitive phenotypes. While previous studies have described them in a "macro" manner, only one study has applied Network Analysis (NA) in PD. NA represents a model to explore relationships between cognitive abilities, aiding in understanding cognitive phenotypes. This study aims to verify whether the cognitive system undergoes reorganization in PD with Mild Cognitive Impairment (PD-MCI) patients. To explore this, a Level II cognitive assessment was administered to 275 PD patients, who were classified into two diagnostic categories: PD-Cognitive Unimpaired (CU) (n = 171) and PD-MCI (n = 104). NA was applied to construct Gaussian Graphical Models for each diagnostic group, where nodes represent cognitive tests and demographic factors, and edges represent their interconnections. The NA revealed substantial differences between the cognitive networks of PD-CU and PD-MCI patients. Specifically, the network of PD-MCI patients appears less sparse, with some weakened relationships between nodes. Overall, the results support the presence of a cognitive reorganization in PD-MCI patients, potentially indicating a functional compensation mechanism. In conclusion, this study enhances the understanding of the cognitive mechanisms underlying cognitive decline in patients with PD.

Longo, C., Romano, D., Malaguti, M., Bacchin, R., Papagno, C. (2024). Cognitive reorganization in patients with Parkinson’s Disease and Mild Cognitive Impairment: a neuropsychological network approach. SCIENTIFIC REPORTS, 14(1) [10.1038/s41598-024-79303-4].

Cognitive reorganization in patients with Parkinson’s Disease and Mild Cognitive Impairment: a neuropsychological network approach

Longo, Chiara
Co-primo
;
Romano, Daniele Luigi
Co-primo
;
Papagno, Costanza
Ultimo
2024

Abstract

Parkinson's Disease (PD) exhibits heterogeneous cognitive deficits that may represent different cognitive phenotypes. While previous studies have described them in a "macro" manner, only one study has applied Network Analysis (NA) in PD. NA represents a model to explore relationships between cognitive abilities, aiding in understanding cognitive phenotypes. This study aims to verify whether the cognitive system undergoes reorganization in PD with Mild Cognitive Impairment (PD-MCI) patients. To explore this, a Level II cognitive assessment was administered to 275 PD patients, who were classified into two diagnostic categories: PD-Cognitive Unimpaired (CU) (n = 171) and PD-MCI (n = 104). NA was applied to construct Gaussian Graphical Models for each diagnostic group, where nodes represent cognitive tests and demographic factors, and edges represent their interconnections. The NA revealed substantial differences between the cognitive networks of PD-CU and PD-MCI patients. Specifically, the network of PD-MCI patients appears less sparse, with some weakened relationships between nodes. Overall, the results support the presence of a cognitive reorganization in PD-MCI patients, potentially indicating a functional compensation mechanism. In conclusion, this study enhances the understanding of the cognitive mechanisms underlying cognitive decline in patients with PD.
Articolo in rivista - Articolo scientifico
Cognitive reorganization; Functional compensation; Mild cognitive impairment; Network Analysis; Parkinson’s Disease
English
18-nov-2024
2024
14
1
28482
open
Longo, C., Romano, D., Malaguti, M., Bacchin, R., Papagno, C. (2024). Cognitive reorganization in patients with Parkinson’s Disease and Mild Cognitive Impairment: a neuropsychological network approach. SCIENTIFIC REPORTS, 14(1) [10.1038/s41598-024-79303-4].
File in questo prodotto:
File Dimensione Formato  
Longo-2024-Sci Rep-VoR.pdf

accesso aperto

Descrizione: This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 1.74 MB
Formato Adobe PDF
1.74 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/524780
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact