Increased connectivity between sensorimotor and attentional areas in Parkinson's disease.
Introduction: Our study is using Independent Component Analysis (ICA) to evaluate functional connectivity changes in Parkinson's disease (PD) in an unbiased manner. Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data was collected for 27 PD patients and 16 healthy subjects. D...
| Publicado en: | Neuroradiology Vol. 57; no. 9; pp. 957 - 969 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109475393&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109475393 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Sep2015 vid: 57 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109475393 109475393 109475393 10.1007/s00234-015-1556-y NLM26174425 109475393 ppf: 957 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Increased connectivity between sensorimotor and attentional areas in Parkinson's disease. aug: au: Onu, Mihaela Badea, Liviu Roceanu, Adina Tivarus, Madalina Bajenaru, Ovidiu affil: National Institute for Research and Development in Informatics, Artificial Intelligence and Bioinformatics Group, Bucharest Romania sug: subj: Parkinson Disease Radiography Magnetic Resonance Imaging Methods Human Descriptive Statistics P-Value Correlational Studies Comparative Studies Neural Pathways Brain Physiology ab: Introduction: Our study is using Independent Component Analysis (ICA) to evaluate functional connectivity changes in Parkinson's disease (PD) in an unbiased manner. Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data was collected for 27 PD patients and 16 healthy subjects. Differences for intra- and inter-network connectivity between healthy subjects and patients were investigated using FMRIB Software Library (FSL) tools (Melodic ICA, dual regression, FSLNets). Results: Twenty-three ICA maps were identified as components of neuronal origin. For intra- network connectivity changes, eight components showed a significant connectivity increase in patients ( p < 0.05); these were correlated with clinical scores and were largest for (sensori)motor networks. For inter- network connectivity changes, we found higher connectivity between the sensorimotor network and the spatial attention network ( p = 0.0098) and lower connectivity between anterior and posterior default mode networks (DMN) ( p = 0.024), anterior DMN and visual recognition networks ( p = 0.026), as well as between visual attention and main dorsal attention networks ( p = 0.03), for patients as compared to healthy subjects. The area under the Receiver Operating Characteristics (ROC) curve for the best predictor (partial correlation between sensorimotor and spatial attention networks) was 0.772. These functional alterations were not associated with any gray or white matter structural changes. Conclusion: Our results show higher connectivity between sensorimotor and spatial attention areas in patients that may be related to the reduced movement automaticity in PD. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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