scholarly journals The whole-brain pattern of magnetic susceptibility perturbations in Parkinson’s disease

Brain ◽  
2016 ◽  
Vol 140 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Julio Acosta-Cabronero ◽  
Arturo Cardenas-Blanco ◽  
Matthew J. Betts ◽  
Michaela Butryn ◽  
Jose P. Valdes-Herrera ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
Whole Brain ◽  
Brain Pattern

Sex-specific whole-brain network topologic organization in drug naïve Parkinson's disease patients

2021 ◽  
Vol 429 ◽  
pp. 119459
Author(s):  
Sara Satolli ◽  
Federica Agosta ◽  
Rosa De Micco ◽  
Silvia Basaia ◽  
Mattia Siciliano ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Brain Network ◽  
Whole Brain ◽  
Drug Naïve

Magnetic Susceptibility Associates With Dopaminergic Deficits and Cognition in Parkinson's Disease

2020 ◽  
Vol 35 (8) ◽  
pp. 1396-1405 ◽  
Author(s):  
Yuto Uchida ◽  
Hirohito Kan ◽  
Keita Sakurai ◽  
Shohei Inui ◽  
Susumu Kobayashi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility

High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease

2011 ◽  
Vol 35 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Ashley K. Lotfipour ◽  
Samuel Wharton ◽  
Stefan T. Schwarz ◽  
V. Gontu ◽  
Andreas Schäfer ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Susceptibility ◽  
High Resolution ◽  
Substantia Nigra ◽  
Susceptibility Mapping

scholarly journals Longitudinal whole-brain atrophy and ventricular enlargement in nondemented Parkinson's disease

2017 ◽  
Vol 55 ◽  
pp. 78-90 ◽  
Author(s):  
Elijah Mak ◽  
Li Su ◽  
Guy B. Williams ◽  
Michael J. Firbank ◽  
Rachael A. Lawson ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Brain Atrophy ◽  
Ventricular Enlargement ◽  
Whole Brain

scholarly journals Neuronal Dynamics of Pain in Parkinson’s Disease

2021 ◽  
Vol 11 (9) ◽  
pp. 1224
Author(s):  
Kaoru Kinugawa ◽  
Tomoo Mano ◽  
Kazuma Sugie
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Symptom ◽  
Neuronal Dynamics ◽  
Whole Brain ◽  
Neuronal Synchronization ◽  
Time Frequency ◽  
Eeg Data ◽  
Significant Difference

Pain is an important non-motor symptom of Parkinson’s disease (PD). It negatively impacts the quality of life. However, the pathophysiological mechanisms underlying pain in PD remain to be elucidated. This study sought to use electroencephalographic (EEG) coherence analysis to compare neuronal synchronization in neuronal networks between patients with PD, with and without pain. Twenty-four patients with sporadic PD were evaluated for the presence of pain. Time-frequency and coherence analyses were performed on their EEG data. Whole-brain and regional coherence were calculated and compared between pain-positive and pain-negative patients. There was no significant difference in the whole-brain coherence between the pain-positive and pain-negative groups. However, temporal–temporal coherence differed significantly between the two groups (p = 0.031). Our findings indicate that aberrant synchronization of inter-temporal regions is involved in PD-related pain. This will further our understanding of the mechanisms underlying pain in PD.

scholarly journals Directed brain connectivity identifies widespread functional network changes in Parkinson’s disease

2021 ◽  
Author(s):  
Mite Mijalkov ◽  
Giovanni Volpe ◽  
Joana B. Pereira
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Large Scale ◽  
Neurodegenerative Disorder ◽  
Brain Connectivity ◽  
Brain Regions ◽  
New Method ◽  
Functional Network ◽  
Whole Brain ◽  
Functional Brain Networks

AbstractParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by topological changes in large-scale functional brain networks. These networks are commonly analysed using undirected correlations between the activation signals of brain regions. However, this approach suffers from an important drawback: it assumes that brain regions get activated at the same time, despite previous evidence showing that brain activation features causality, with signals being typically generated in one region and then propagated to other ones. Thus, in order to address this limitation, in this study we developed a new method to assess whole-brain directed functional connectivity in patients with PD and healthy controls using anti-symmetric delayed correlations, which capture better this underlying causality. To test the potential of this new method, we compared it to standard connectivity analyses based on undirected correlations. Our results show that whole-brain directed connectivity identifies widespread changes in the functional networks of PD patients compared to controls, in contrast to undirected methods. These changes are characterized by increased global efficiency, clustering and transitivity as well as lower modularity. In addition, changes in the directed connectivity patterns in the precuneus, thalamus and superior frontal gyrus were associated with motor, executive and memory deficits in PD patients. Altogether, these findings suggest that directional brain connectivity is more sensitive to functional network changes occurring in PD compared to standard methods. This opens new opportunities for the analysis of brain connectivity and the development of new brain connectivity markers to track PD progression.

scholarly journals Uncovering the underlying mechanisms and whole-brain dynamics of therapeutic deep brain stimulation for Parkinson's disease

2016 ◽  
Author(s):  
Victor M Saenger ◽  
Joshua Kahan ◽  
Tom Foltynie ◽  
Karl Friston ◽  
Tipu Z Aziz ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Brain Dynamics ◽  
Whole Brain ◽  
Underlying Mechanisms ◽  
Deep Brain

Deep brain stimulation (DBS) for Parkinson's disease is a highly effective treatment in controlling otherwise debilitating symptoms yet the underlying brain mechanisms are currently not well understood. We used whole-brain computational modeling to disclose the effects of DBS ON and OFF during collection of resting state fMRI in ten Parkinson's Disease patients. Specifically, we explored the local and global impact of DBS in creating asynchronous, stable or critical oscillatory conditions using a supercritical bifurcation model. We found that DBS shifts the global brain dynamics of patients nearer to that of healthy people by significantly changing the bifurcation parameters in brain regions implicated in Parkinson's Disease. We also found higher communicability and coherence brain measures during DBS ON compared to DBS OFF. Finally, by modeling stimulation we identified possible novel DBS targets. These results offer important insights into the underlying effects of DBS, which may in time offer a route to more efficacious treatments.

scholarly journals FDG-PET hypometabolism is more sensitive than MRI atrophy in Parkinson's disease: A whole-brain multimodal imaging meta-analysis

2019 ◽  
Vol 21 ◽  
pp. 101594 ◽  
Author(s):  
Franziska Albrecht ◽  
Tommaso Ballarini ◽  
Jane Neumann ◽  
Matthias L. Schroeter
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Fdg Pet ◽  
Multimodal Imaging ◽  
Meta Analysis ◽  
Whole Brain
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