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...

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Publicado en:Neuroradiology Vol. 57; no. 9; pp. 957 - 969
Autores principales: Onu, Mihaela, Badea, Liviu, Roceanu, Adina, Tivarus, Madalina, Bajenaru, Ovidiu
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Sep2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2015
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      pub: Springer Nature
      place: New York, New York
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        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
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