Parkinson’s disease

Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification

Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification
Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification 650 366 IEEE Transactions on Biomedical Engineering (TBME)
This paper presents a novel and efficacious approach for inferring causal connectivity by exploiting frequency-domain dynamics in complex systems, with a particular focus on its application in Parkinson’s Disease classification. read more

Design and Preliminary Performance Assessment of a Wearable Tremor Suppression Glove
Author(s)3: Yue Zhou, Anas Ibrahim, Kenneth G. Hardy, Mary E. Jenkins, Michael D. Naish, Ana Luisa Trejos
Design and Preliminary Performance Assessment of a Wearable Tremor Suppression Glove 170 177 IEEE Transactions on Biomedical Engineering (TBME)
Approximately 25% of individuals living with parkinsonian tremor do not respond to traditional treatments. This study presents a novel wearable tremor suppression device (WTSD) that can suppress tremor simultaneously, but independently, in the index finger, thumb, and wrist without restricting the user’s voluntary motion. The prototype was tested and assessed on a participant living with parkinsonian tremor, demonstrating the feasibility of using a WTSD to manage hand and finger tremor. The device enriches the field of upper-limb tremor management, as the first WTSD for multiple joints of the hand. read more

Image guidance in deep brain stimulation surgery to treat Parkinson’s disease: a comprehensive review
Author(s)3: Yiming Xiao, Jonathan C. Lau, Dimuthu Hemachandra, Greydon Gilmore, Ali R. Khan, Terry M. Peters
Image guidance in deep brain stimulation surgery to treat Parkinson’s disease: a comprehensive review 170 177 IEEE Transactions on Biomedical Engineering (TBME)
Deep brain stimulation (DBS) is an effective therapy for Parkinson’s disease (PD). The success of the procedure depends heavily on the accurate placement of the electrode within the optimal therapeutic targets while avoiding vital structures that can cause adverse outcomes. Interventional guidance with medical imaging has greatly contributed to the development, outcomes, and safety of the procedure. With rapid technological advancements, it will further enhance the capacity and efficacy of the procedure. We present a comprehensive review on the state-of-the-art techniques in image-guided DBS surgery to treat PD, and discuss about the future directions on the topic. read more
Improvement of Pyramidal Tract Side Effect Prediction Using a Data-Driven Method in Subthalamic Stimulation

Improvement of Pyramidal Tract Side Effect Prediction Using a Data-Driven Method in Subthalamic Stimulation
Author(s)3: Clement Baumgarten, Yulong Zhao, Paul Sauleau, Cecile Malrain, Pierre Jannin, Claire Haegelen
Improvement of Pyramidal Tract Side Effect Prediction Using a Data-Driven Method in Subthalamic Stimulation 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Subthalamic nucleus deep brain stimulation (STN DBS) is limited by the occurrence of pyramidal tract side effect (PTSE) induced by electrical activation of the pyramidal tract. Predictive models are needed…

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Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson’s Disease During Deep Brain Stimulation
Author(s)3: Clare M. Davidson, Annraoi M. de Paor, Hayriye Cagnan, Madeleine M. Lowery
Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson’s Disease During Deep Brain Stimulation 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Clare M. Davidson, Annraoi M. de Paor, Hayriye Cagnan and Madeleine M. Lowery,  University College Dublin, Ireland Parkinson’s disease is a progressive, neurodegenerative disorder which primarily affects the motor system in…

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