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A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease.

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Title: A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease.
Authors: Li, Renxi (AUTHOR), Pozorski, Vincent (AUTHOR), Dabbs, Kevin (AUTHOR), Haebig, Maureen (AUTHOR), Cox, Christopher R. (AUTHOR), Pletcher, Colleen (AUTHOR), Wey, Alexandra (AUTHOR), Barzgari, Amy (AUTHOR), Theisen, Frances (AUTHOR), Okonkwo, Ozioma (AUTHOR), Gallagher, Catherine L. (AUTHOR)
Source: European Journal of Neuroscience. Jul2024, Vol. 60 Issue 1, p3795-3811. 17p.
Subjects: Parkinson's disease, Cognition disorders, Functional magnetic resonance imaging, Large-scale brain networks, Magnetic resonance imaging
Abstract: Resting state functional magnetic resonance imaging (R‐fMRI) offers insight into how synchrony within and between brain networks is altered in disease states. Individual and disease‐related variability in intrinsic connectivity networks may influence our interpretation of R‐fMRI data. We used a personalized approach designed to account for individual variation in the spatial location of correlation maxima to evaluate R‐fMRI differences between Parkinson's disease (PD) patients who showed cognitive decline, those who remained cognitively stable and cognitively stable controls. We compared fMRI data from these participant groups, studied at baseline and 18 months later, using both network‐based statistics (NBS) and calculations of mean inter‐ and intra‐network connectivity within pre‐defined functional networks. The NBS analysis showed that PD participants who remained cognitively stable showed exclusively (at baseline) or predominantly (at follow‐up) increased intra‐network connectivity, whereas decliners showed exclusively reduced intra‐network and inter‐ (ventral attention and default mode) connectivity, in comparison with the control group. Evaluation of mean connectivity between all regions of interest (ROIs) within a priori networks showed that decliners had consistently reduced inter‐network connectivity for ventral attention, somatomotor, visual and striatal networks and reduced intra‐network connectivity for ventral attention network to striatum and cerebellum. These findings suggest that specific functional connectivity covariance patterns differentiate PD cognitive subtypes and may predict cognitive decline. Further, increased intra and inter‐network synchrony may support cognitive function in the face of PD‐related network disruptions. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Renxi%22">Li, Renxi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pozorski%2C+Vincent%22">Pozorski, Vincent</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dabbs%2C+Kevin%22">Dabbs, Kevin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Haebig%2C+Maureen%22">Haebig, Maureen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cox%2C+Christopher+R%2E%22">Cox, Christopher R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pletcher%2C+Colleen%22">Pletcher, Colleen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wey%2C+Alexandra%22">Wey, Alexandra</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barzgari%2C+Amy%22">Barzgari, Amy</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Theisen%2C+Frances%22">Theisen, Frances</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Okonkwo%2C+Ozioma%22">Okonkwo, Ozioma</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gallagher%2C+Catherine+L%2E%22">Gallagher, Catherine L.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Jul2024, Vol. 60 Issue 1, p3795-3811. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders%22">Cognition disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink>
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  Label: Abstract
  Group: Ab
  Data: Resting state functional magnetic resonance imaging (R‐fMRI) offers insight into how synchrony within and between brain networks is altered in disease states. Individual and disease‐related variability in intrinsic connectivity networks may influence our interpretation of R‐fMRI data. We used a personalized approach designed to account for individual variation in the spatial location of correlation maxima to evaluate R‐fMRI differences between Parkinson's disease (PD) patients who showed cognitive decline, those who remained cognitively stable and cognitively stable controls. We compared fMRI data from these participant groups, studied at baseline and 18 months later, using both network‐based statistics (NBS) and calculations of mean inter‐ and intra‐network connectivity within pre‐defined functional networks. The NBS analysis showed that PD participants who remained cognitively stable showed exclusively (at baseline) or predominantly (at follow‐up) increased intra‐network connectivity, whereas decliners showed exclusively reduced intra‐network and inter‐ (ventral attention and default mode) connectivity, in comparison with the control group. Evaluation of mean connectivity between all regions of interest (ROIs) within a priori networks showed that decliners had consistently reduced inter‐network connectivity for ventral attention, somatomotor, visual and striatal networks and reduced intra‐network connectivity for ventral attention network to striatum and cerebellum. These findings suggest that specific functional connectivity covariance patterns differentiate PD cognitive subtypes and may predict cognitive decline. Further, increased intra and inter‐network synchrony may support cognitive function in the face of PD‐related network disruptions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2024
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