Imaging Markers of Progression in Parkinson's Disease

Strafella, Antonio P.; Bohnen, Nicolaas I.; Pavese, Nicola; Vaillancourt, David E.; Eimeren, Thilo van; Politis, Marios; Tessitore, Alessandro; Ghadery, Christine; Lewis, Simon J.G.

doi:10.1002/mdc3.12673

Cited by 25 publications

(9 citation statements)

References 129 publications

(250 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consistent with previous studies, we found that Parkinson's disease is associated with changes in brain functional connectivity that not only includes motor and subcortical nuclei, but also default, visual and attention systems (Fling et al, 2014;Canu et al, 2015;Fasano et al, 2015;Gilat et al, 2017Gilat et al, , 2018Gratton et al, 2018;Strafella et al, 2018).. It has been hypothesized that these heteromodal systems are involved in execution of automatic, habitual movements affected by PD (Gilat et al, 2017).…”

Section: Motor But Also Higher Order Attention Systemssupporting

confidence: 90%

Lateralized Connectivity between Globus Pallidus and Motor Cortex is Associated with Freezing of Gait in Parkinson’s Disease

et al. 2020

View full text Add to dashboard Cite

Freezing of gait (FoG) is a brief, episodic absence or marked reduction of forward progression of the feet, despite the intention to walk, that is common in people with Parkinson's disease (PD). We hypothesized that not only motor, but higher level cognitive and attention areas may be impaired in freezers. In this study, we aimed to characterize differences in cortical and subcortical functional connectivity specific to FoG. We examined resting state neuroimaging and objective measures of FoG severity and gait from 103 individuals (28 PD+FoG, 36 PD-FoG and 39 healthy controls). Inertial sensors were used to quantify freezing severity and gait.Groups with and without FoG were matched on age, disease severity, cognitive status, and levodopa medication. MRI data was processed using surface-based registration. High-quality imaging data were used to characterize differences in connectivity specific to FoG using a predefined set of Regions of Interest and validated using whole-brain connectivity analysis.Associations between functional connectivity and objective measures of FoG were determined via predictive modeling using hold-out cross validation. We found that connectivity between the left globus pallidus and left somatosensory cortex and between two brain areas in the default and insular/vestibular networks exhibited significant differences specific to FoG and were also strong and significant predictors of FoG severity. Our findings suggest that the interplay among motor, default and vestibular areas of the left cortex are critical in the pathology of FoG.

show abstract

Section: Motor But Also Higher Order Attention Systemssupporting

confidence: 90%

Lateralized Connectivity between Globus Pallidus and Motor Cortex is Associated with Freezing of Gait in Parkinson’s Disease

et al. 2020

View full text Add to dashboard Cite

show abstract

“…There currently is not yet a consensus in the field on which imaging measures have the greatest utility as biomarkers for clinical trials in AP. Recent systematic reviews on available neuroimaging biomarkers for diagnosis and progression of AP disclosed that despite a plethora of studies, these have not yet yielded sufficiently validated biomarkers for diagnosis and disease progression, especially in the early course of disease or newly recognized variants [27–30]. This is problematic not only for finding a consensus but also because standard performance measures for newly developed imaging biomarkers are missing.…”

Section: Challenges For Ascribing Utility Of a Neuroimaging Biomarkermentioning

confidence: 99%

Neuroimaging biomarkers for clinical trials in atypical parkinsonian disorders: Proposal for a Neuroimaging Biomarker Utility System

Eimeren

Antonini

Berg

et al. 2019

Alz & Dem Diag Ass & Dis Mo

Self Cite

View full text Add to dashboard Cite

Introduction Therapeutic strategies targeting protein aggregations are ready for clinical trials in atypical parkinsonian disorders. Therefore, there is an urgent need for neuroimaging biomarkers to help with the early detection of neurodegenerative processes, the early differentiation of the underlying pathology, and the objective assessment of disease progression. However, there currently is not yet a consensus in the field on how to describe utility of biomarkers for clinical trials in atypical parkinsonian disorders. Methods To promote standardized use of neuroimaging biomarkers for clinical trials, we aimed to develop a conceptual framework to characterize in more detail the kind of neuroimaging biomarkers needed in atypical parkinsonian disorders, identify the current challenges in ascribing utility of these biomarkers, and propose criteria for a system that may guide future studies. Results As a consensus outcome, we describe the main challenges in ascribing utility of neuroimaging biomarkers in atypical parkinsonian disorders, and we propose a conceptual framework that includes a graded system for the description of utility of a specific neuroimaging measure. We included separate categories for the ability to accurately identify an intention-to-treat patient population early in the disease (Early), to accurately detect a specific underlying pathology (Specific), and the ability to monitor disease progression (Progression). Discussion We suggest that the advancement of standardized neuroimaging in the field of atypical parkinsonian disorders will be furthered by a well-defined reference frame for the utility of biomarkers. The proposed utility system allows a detailed and graded description of the respective strengths of neuroimaging biomarkers in the currently most relevant areas of application in clinical trials.

show abstract

“…In the last few years, functional connectivity (FC) during resting-state functional magnetic resonance imaging (rs-fMRI) has been used in Parkinson’s disease (PD) to study the neural mechanisms of various complications, such as cognitive impairment 1 – 3 and depression 4 – 7 . Recently, a number of studies have applied time-varying analysis methods for brain connectivity, also known as dynamic FC, in diverse populations 8 , 9 .…”

Section: Introductionmentioning

confidence: 99%

Contributions of sex, depression, and cognition on brain connectivity dynamics in Parkinson’s disease

Díez‐Cirarda

Gabilondo

Ibarretxe‐Bilbao

et al. 2021

npj Parkinsons Dis.

Self Cite

View full text Add to dashboard Cite

Alterations in time-varying functional connectivity (FC) have been found in Parkinson’s disease (PD) patients. To date, very little is known about the influence of sex on brain FC in PD patients and how this could be related to disease severity. The first objective was to evaluate the influence of sex on dynamic FC characteristics in PD patients and healthy controls (HC), while the second aim was to investigate the temporal patterns of dynamic connectivity related to PD motor and non-motor symptoms. Ninety-nine PD patients and sixty-two HC underwent a neuropsychological and clinical assessment. Rs-fMRI and T1-weighted MRI were also acquired. Dynamic FC analyses were performed in the GIFT toolbox. Dynamic FC analyses identified two States: State I, characterized by within-network positive coupling; and State II that showed between-network connectivity, mostly involving somatomotor and visual networks. Sex differences were found in dynamic indexes in HC but these differences were not observed in PD. Hierarchical clustering analysis identified three phenotypically distinct PD subgroups: (1) Subgroup A was characterized by mild motor symptoms; (2) Subgroup B was characterized by depressive and motor symptoms; (3) Subgroup C was characterized by cognitive and motor symptoms. Results revealed that changes in the temporal properties of connectivity were related to the motor/non-motor outcomes of PD severity. Findings suggest that while in HC sex differences may play a certain role in dynamic connectivity patterns, in PD patients, these effects may be overcome by the neurodegenerative process. Changes in the temporal properties of connectivity in PD were mainly related to the clinical markers of PD severity.

show abstract

Imaging Markers of Progression in Parkinson's Disease

Cited by 25 publications

References 129 publications

Lateralized Connectivity between Globus Pallidus and Motor Cortex is Associated with Freezing of Gait in Parkinson’s Disease

Lateralized Connectivity between Globus Pallidus and Motor Cortex is Associated with Freezing of Gait in Parkinson’s Disease

Neuroimaging biomarkers for clinical trials in atypical parkinsonian disorders: Proposal for a Neuroimaging Biomarker Utility System

Contributions of sex, depression, and cognition on brain connectivity dynamics in Parkinson’s disease

Contact Info

Product

Resources

About