Disruption of the Brain Res ting State Networks in Parkinsonism

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GHASEMI MAHDIEH; Foroutannia Ali

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Neuroscience Journal of Shefaye Khatam Year:2019 | Volume:7 | Issue:1 Page(s): 23-33

Download Full-Text

Persian Verion

View:

934

Download:

Cites:

Information Journal Paper

Title

Disruption of the Brain Res ting State Networks in Parkinsonism

Author(s)

GHASEMI MAHDIEH | Foroutannia Ali | Issue Writer Certificate

Keywords

Magnetic Resonance Imaging Neurodegenerative DiseasesQ2

Diagnos tic ImagingQ2

BrainQ2

Abstract

Introduction: In the recent years, neuroimaging research on functional Magnetic Resonance Imaging (fMRI) is used in many pathological and mental conditions. The analysis of alterations in the res ting s tate networks (RSN) is an important method for the scrupulous unders tanding of the function and connectivity changes of the disease in order to provide new diagnos tic and therapeutic approaches. In this paper, we s tudied the res ting-s tate functional MRI (RsfMRI) data in Parkinson’ s disease (PD) to explore the complex disruption in the RSNs and the functional interactions between them. Materials and Methods: A total Rs-fMRI data of 10 Parkinsonism and 10 healthy people in the 3T-MRI sys tem were considered. Probabilis tic independent component analysis (PICA) was used to extract network components. RSNs were identified using spatial correlation with a res t reference template network. Dual regression and randomize technique calculated individual differences between the groups. Results: Group component maps resulted in some main clus ters of RSN that significantly overlapped with the reference network, such as the visual cortex, salience network, and supplementary motor area. Individual differences between RSN maps identified temporal, salience and cingulate networks as the main clus ters. Conclusion: Mos t of the previous s tudies inves tigated the functional connectivity alterations in PD by seed-based analysis. Here, we employed the datadriven approach based on group PICA to extract and evaluate RSN changes in all related neural networks. Our finding indicates that changes of the functional architecture of the RSNs are associated with PD.

Cites

No record.

References

Cite

APA: Copy

GHASEMI, MAHDIEH, & Foroutannia, Ali. (2019). Disruption of the Brain Res ting State Networks in Parkinsonism. NEUROSCIENCE JOURNAL OF SHEFAYE KHATAM, 7(1 ), 23-33. SID. https://sid.ir/paper/258033/en

Vancouver: Copy

GHASEMI MAHDIEH, Foroutannia Ali. Disruption of the Brain Res ting State Networks in Parkinsonism. NEUROSCIENCE JOURNAL OF SHEFAYE KHATAM[Internet]. 2019;7(1 ):23-33. Available from: https://sid.ir/paper/258033/en

IEEE: Copy

MAHDIEH GHASEMI, and Ali Foroutannia, “Disruption of the Brain Res ting State Networks in Parkinsonism,” NEUROSCIENCE JOURNAL OF SHEFAYE KHATAM, vol. 7, no. 1 , pp. 23–33, 2019, [Online]. Available: https://sid.ir/paper/258033/en

Related Journal Papers