Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients
| Autor: | Joan Guàrdia-Olmos, Daniel Zarabozo-Hurtado, Geisa B. Gallardo-Moreno, Marc Montalà-Flaquer, Maribel Peró-Cebollero, Núria Mancho-Fora, Laia Farràs-Permanyer, Esteban Gudayol-Farré |
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| Rok vydání: | 2020 |
| Předmět: |
050103 clinical psychology
medicine.medical_specialty Quasi-experiment Change point detection 050109 social psychology Audiology Conectividad funcional dinámica Retrospective memory Medicine 0501 psychology and cognitive sciences Resting-state fMRI Point estimation Detección de puntos de cambio Dynamic functional connectivity Resting state fMRI business.industry Functional connectivity 05 social sciences Neuropsychology Mild cognitive impairment Quasi-experimento Deterioro cognitivo leve Network dynamics Clinical Psychology Original Article business Change detection |
| Zdroj: | International Journal of Clinical and Health Psychology : IJCHP |
| ISSN: | 1697-2600 |
| DOI: | 10.1016/j.ijchp.2020.07.005 |
| Popis: | Background/Objective: This study aims to characterize the differences on the short-term temporal network dynamics of the undirected and weighted whole-brain functional connectivity between healthy aging individuals and people with mild cognitive impairment (MCI). The Network Change Point Detection algorithm was applied to identify the significant change points in the resting-state fMRI register, and we analyzed the fluctuations in the topological properties of the sub-networks between significant change points. Method: Ten MCI patients matched by gender and age in 1:1 ratio to healthy controls screened during patient recruitment. A neuropsychological evaluation was done to both groups as well as functional magnetic images were obtained with a Philips 3.0T. All the images were preprocessed and statistically analyzed through dynamic point estimation tools. Results: No statistically significant differences were found between groups in the number of significant change points in the functional connectivity networks. However, an interaction effect of age and state was detected on the intra-participant variability of the network strength. Conclusions: The progression of states was associated to higher variability in the patient's group. Additionally, higher performance in the prospective and retrospective memory scale was associated with higher median network strength. |
| Databáze: | OpenAIRE |
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