Article
Neurosciences
Youmin Zhang, Pei Huang, Xinhui Wang, Qiuyun Xu, Yu Liu, Zhijia Jin, Yan Li, Zenghui Cheng, Rongbiao Tang, Shengdi Chen, Naying He, Fuhua Yan, E. Mark Haacke
Summary: This study successfully visualized the deep cerebellar nuclei using quantitative susceptibility mapping and compared the volume and susceptibility differences between movement disorder populations and healthy controls. The results provide reference values for future studies on movement disorders.
HUMAN BRAIN MAPPING
(2023)
Article
Clinical Neurology
Yuke Zhong, Hang Liu, Guohui Liu, Yi Liang, Chengcheng Dai, Lili Zhao, Hongyu Lai, Lijuan Mo, Changhong Tan, Fen Deng, Xi Liu, Lifen Chen
Summary: This study used diffusion tensor imaging (DTI) to investigate white matter alterations in the cerebrum and cerebellum in Parkinson's disease patients with resting tremor. The results showed better white matter integrity in the cerebrum and cerebellum, suggesting a potential association between white matter and resting tremor in this disease.
Article
Neurosciences
Fatemeh Sadeghi, Monika Poetter-Nerger, Kai Grimm, Christian Gerloff, Robert Schulz, Simone Zittel
Summary: Alterations in cerebellar morphology in Parkinson's disease (PD) are related to motor symptom severity. Specifically, a smaller volume of lobule VIIb is associated with higher tremor severity. No structure-function relationships were found for other lobules or other motor symptoms. Characterizing morphological features of the cerebellum contributes to understanding its role in motor symptoms in PD and identifying potential biological markers.
Article
Chemistry, Analytical
Filippo Milano, Gianni Cerro, Francesco Santoni, Alessio De Angelis, Gianfranco Miele, Angelo Rodio, Antonio Moschitta, Luigi Ferrigno, Paolo Carbone
Summary: The study introduces a magnetic tracking system for measuring movement trajectory and tremors in early-stage Parkinson's disease diagnosis and monitoring. Validation through three tests demonstrates the system's accuracy and reliability, with proposed classification method for distinguishing between healthy and ill patients.
Review
Clinical Neurology
Michiel F. Dirkx, Matteo Bologna
Summary: This article reviews the dysfunctional network underlying tremor in PD, discusses the oscillations and synchronization changes in two central motor circuits, and emphasizes the pathophysiological consequences of the abnormal interaction between the two systems.
JOURNAL OF THE NEUROLOGICAL SCIENCES
(2022)
Article
Biology
Kaiwen Deng, Yueming Li, Hanrui Zhang, Jian Wang, Roger L. Albin, Yuanfang Guan
Summary: Deng et al. developed deep learning methods that accurately identify Parkinson's Disease patients using various types of digital biomarkers. The study found that tapping data performs better than gait/rest and voice data in identifying PD. Combining multiple data types can achieve higher accuracy, and the models outperform patient self-reported symptom scores in diagnosing PD.
COMMUNICATIONS BIOLOGY
(2022)
Article
Geriatrics & Gerontology
Soraya Rahimi, Farzad Towhidkhah, Golnaz Baghdadi, Bijan Forogh, Payam Saadat, Ghazaleh Soleimani, Seyed Amirhassan Habibi
Summary: This study proposes a computational model to investigate the role of the cerebellum in tremors in Parkinson's disease (PD) and demonstrates the effectiveness of cerebellar transcranial alternating current stimulation (tACS) in reducing rest tremors. The results suggest that cerebellar tACS could serve as a reliable therapeutic technique to suppress tremors in PD.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Cell Biology
Nicolo Gabriele Pozzi, Francesco Bolzoni, Gabriele Eliseo Mario Biella, Gianni Pezzoli, Chi Wang Ip, Jens Volkmann, Paolo Cavallari, Esther Asan, Ioannis Ugo Isaias
Summary: This study investigated the development of tremor in Parkinson's disease (PD) using a rat model with selective lesioning of LC-NA innervation. The results showed that LC-NA innervation plays a critical role in the development of PD tremor.
Article
Engineering, Biomedical
Junjie Li, Huaiyu Zhu, Jiaxiang Li, Haotian Wang, Bo Wang, Wei Luo, Yun Pan
Summary: This study proposes a wearable system for assessing upper limb tremor and differentiating between Parkinson's disease and essential tremor. The system collects tremor data from the wrist and fingers simultaneously and extracts multi-segment features to perform the differential diagnosis using support vector machine classifiers. The system demonstrated high accuracy in diagnosing Parkinson's disease versus essential tremor in real-world settings.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Clinical Neurology
Rita Nistico, Andrea Quattrone, Marianna Crasa, Marida De Maria, Basilio Vescio, Aldo Quattrone
Summary: This study compared the electrophysiological features of rest tremor (RT) across different positions in tremor-dominant Parkinson's disease (PD) and essential tremor plus (ET with RT, rET) patients. The findings showed that RT was present in all PD and rET patients in the hand-hanging position, and supine and standing RT were more common in PD patients. However, only the RT pattern was significantly different between PD and rET patients in all positions.
NEUROLOGICAL SCIENCES
(2022)
Review
Medicine, General & Internal
Paloma Moreta-de-Esteban, Patricia Martin-Casas, Rosa Maria Ortiz-Gutierrez, Sofia Straudi, Roberto Cano-de-la-Cuerda
Summary: Resting tremor is a common motor manifestation in Parkinson's disease (PD) patients. Mobile applications using the measurement components of smartphones show potential for objectively assessing resting tremor in PD, but validation studies are lacking. This systematic review identified 13 apps in mobile markets for assessing resting tremor in PD, meeting an average of 85.09% of the recommendations for medical mobile app development.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Multidisciplinary Sciences
Daneck Lang-Ouellette, Kim M. Gruver, Amy Smith-Dijak, Francois G. C. Blot, Chloe A. Stewart, Pauline de Vanssay de Blavous, Connie H. Li, Carter Van Eitrem, Charlotte Rosen, Phyllis L. Faust, Martijn Schonewille, Alanna J. Watt
Summary: Axonal swellings on Purkinje cell axons in the cerebellum have been found during both healthy development and neurodegenerative diseases. Research shows that axons with swellings propagate action potentials more accurately, and young adult mice with more axonal swellings demonstrate better learning performance on cerebellar-related tasks.
NATURE COMMUNICATIONS
(2021)
Article
Clinical Neurology
Valeria Pozzilli, Massimo Marano, Alessandro Magliozzi, Carlo Augusto Mallio, Daniele Marruzzo, Francesca Romana Barbieri, Vincenzo Di Lazzaro, Riccardo Antonio Ricciuti
Summary: Deep brain stimulation (DBS) is an effective treatment for movement disorders such as Holmes tremor (HT). The ideal target for DBS in HT is still uncertain. Advanced neuroimaging techniques can help identify the target and achieve almost complete tremor suppression, providing new treatment options.
NEUROLOGICAL SCIENCES
(2023)
Article
Chemistry, Analytical
Prashanna Khwaounjoo, Gurleen Singh, Sophie Grenfell, Burak Ozsoy, Michael R. MacAskill, Tim J. Anderson, Yusuf O. Cakmak
Summary: This study investigates the optimal locations on the hand to capture and monitor maximal movement/tremor severity in Parkinson's disease patients. The results show that the distal locations of the right hand, such as the ends of fingers and the wrist, have the largest movement velocities and accelerations. Furthermore, these metrics have significant correlations with clinical scores, indicating their potential suitability for monitoring disease progression.
Review
Neurosciences
Y. T. Ling, J. M. Li, Y. Ling, S. G. Wang, J. T. Wang, X. Y. Zhang, L. H. Dong
Summary: Wernekinck commissure syndrome with Holmes tremor is a rare condition characterized by bilateral cerebellar ataxia, ophthalmoplegia, and palatal tremor, with a combination of resting, postural, and action tremors. Both cases showed significant improvement after treatment.
