Article
Multidisciplinary Sciences
Alexandre Boutet, Radhika Madhavan, Gavin J. B. Elias, Suresh E. Joel, Robert Gramer, Manish Ranjan, Vijayashankar Paramanandam, David Xu, Jurgen Germann, Aaron Loh, Suneil K. Kalia, Mojgan Hodaie, Bryan Li, Sreeram Prasad, Ailish Coblentz, Renato P. Munhoz, Jeffrey Ashe, Walter Kucharczyk, Alfonso Fasano, Andres M. Lozano
Summary: This study investigates the use of fMRI to predict optimal stimulation settings for Parkinson's disease patients undergoing DBS, demonstrates the establishment of a machine learning model based on fMRI patterns, and suggests that fMRI brain responses could serve as an objective biomarker for clinical response.
NATURE COMMUNICATIONS
(2021)
Article
Neurosciences
Stefanie T. Jost, Lena Strobel, Alexandra Rizos, Philipp A. Loehrer, Keyoumars Ashkan, Julian Evans, Franz Rosenkranz, Michael T. Barbe, Gereon R. Fink, Jeremy Franklin, Anna Sauerbier, Christopher Nimsky, Afsar Sattari, K. Ray Chaudhuri, Angelo Antonini, Lars Timmermann, Pablo Martinez-Martin, Monty Silverdale, Elke Kalbe, Veerle Visser-Vandewalle, Haidar S. Dafsari
Summary: Previous studies have shown that women with Parkinson's disease (PD) have less access to deep brain stimulation (DBS) compared to men. This study observed and compared a total of 505 patients and found that women with PD were less likely to be referred for DBS, but more likely to be approved for the treatment. The study also found that women and men with PD had different preoperative symptoms and characteristics. However, both genders had similar improvements in clinical outcomes after the surgery.
NPJ PARKINSONS DISEASE
(2022)
Article
Neurosciences
Eileen Gulke, Leon Juarez Paz, Heleen Scholtes, Christian Gerloff, Andrea A. Kuehn, Monika Potter-Nerger
Summary: This study evaluated the feasibility of a semi-automatic algorithm-guided programming approach for beneficial stimulation settings in Parkinson's disease patients. The results showed significant improvement in clinical effectiveness compared to standard care procedures. This method represents an important step towards future closed-loop DBS optimization systems.
NPJ PARKINSONS DISEASE
(2022)
Article
Neurosciences
Francesco Bove, Francesco Cavallieri, Anna Castrioto, Sara Meoni, Emmanuelle Schmitt, Amelie Bichon, Eugenie Lhommee, Pierre Pelissier, Andrea Kistner, Eric Chevrier, Eric Seigneuret, Stephan Chabardes, Franco Valzania, Valerie Fraix, Elena Moro
Summary: Research on patients with Parkinson's disease (PD) shows that the side of motor symptom onset does not significantly affect the outcome of bilateral subthalamic nucleus deep brain stimulation (STN-DBS).
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Review
Medicine, General & Internal
Marwan Hariz, Patric Blomstedtl
Summary: Parkinson's disease is a progressive neurodegenerative illness with motor and nonmotor symptoms. Deep brain stimulation is an effective symptomatic treatment that can be tailored to individual patients. DBS has significant effects on tremors, rigidity, and dyskinesias, but less responsive for axial symptoms. Specialized multidisciplinary teams are required for DBS in PD.
JOURNAL OF INTERNAL MEDICINE
(2022)
Article
Clinical Neurology
Abteen Mostofi, Francesca Morgante, Mark J. Edwards, Peter Brown, Erlick A. C. Pereira
Summary: Pain in Parkinson's disease is often untreated due to lack of understanding of its mechanisms. Deep brain stimulation of the subthalamic nucleus has shown potential in treating pain, but the exact type of pain it benefits and how it interferes with pain processing remain unclear.
Review
Behavioral Sciences
Chun-Hwei Tai
Summary: Understanding the pathophysiological mechanism of Parkinson's disease in the subthalamic nucleus is crucial for effective treatment through deep brain stimulation. STN burst firing is considered an electrophysiological signature of the cortico-basal ganglia circuit in PD patients, and plays a significant role in the motor symptoms of PD as well. This review explores the origins of STN bursts, factors influencing their formation, and the potential for interventions to alleviate PD symptoms.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Clinical Neurology
Jiping Li, Shanshan Mei, Xiaofei Jia, Yuqing Zhang
Summary: This study demonstrates that deep brain stimulation can effectively suppress levodopa-induced dyskinesia in Parkinson's disease patients without reducing levodopa dosage. The stimulation sites with good anti-dyskinesia effect are located above the subthalamic nucleus.
FRONTIERS IN NEUROLOGY
(2021)
Letter
Clinical Neurology
T. J. C. Zoon, V. Mathiopoulou, G. van Rooijen, P. van den Munckhof, D. A. J. P. Denys, P. R. Schuurman, R. M. A. de Bie, M. Bot
Summary: This study used subthalamic nucleus deep brain stimulation (STN DBS) and network analysis to investigate the relationship between the location of active DBS contact points and apathy in Parkinson's disease (PD) patients. The results showed that active contacts in apathy patients were more often positioned in the area with a high density of surrounding projections to associative cortex areas. The study provides insight into the anatomical connectivity substrate for apathy in DBS.
Article
Neurosciences
Chao Zhang, Jinxing Sun, Zhenke Li, Na Liu, Chao Li
Summary: In this case report, a patient with Parkinson's disease who underwent STN-DBS experienced visual symptoms that were resolved by adjusting the levodopa dosage. The results suggest that STN-DBS can improve eye-blink rate in patients with Parkinson's disease, but rapid reduction of levodopa dosage after STN-DBS may lead to retinal atrophy and decreased vessel density in the ocular fundus.
Article
Clinical Neurology
Jiaming Mei, Bowen Chang, Chi Xiong, Manli Jiang, Chaoshi Niu
Summary: This study investigated the application of functional zonal image reconstruction in programming for deep brain stimulation (DBS) in Parkinson's disease (PD). The results showed that image reconstruction-guided programming led to reduced programming time and decreased patient discomfort episodes.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Feng Zhang, Feng Wang, Cong-Hui Li, Ji-Wei Wang, Chun-Lei Han, Shi-Ying Fan, Dong-Mei Gao, Yu-Jing Xing, Chen Yang, Jian-Guo Zhang, Fan-Gang Meng
Summary: The study found that subthalamic nucleus-deep brain stimulation (STN-DBS) can improve autonomic dysfunctions in Parkinson's disease (PD) patients, with improvements seen in urinary and thermoregulatory functions in the short-term after surgery. Additionally, there is a close relationship between improved autonomic symptoms and improved anxiety and depression.
Editorial Material
Neurosciences
Bin Xiao, Eng-King Tan
Summary: In a recent study, researchers including Zhang and Roy discovered that neurons in the parafascicular thalamus project to three distinct neural structures in the basal ganglia. These neural circuits were found to be associated with specific motor and non-motor symptoms in a Parkinson's disease mouse model. The findings offer potential therapeutic targets for the treatment of this disease.
TRENDS IN NEUROSCIENCES
(2023)
Article
Medicine, General & Internal
Tianqi Hu, Hutao Xie, Yu Diao, Houyou Fan, Delong Wu, Yifei Gan, Fangang Meng, Yutong Bai, Jianguo Zhang
Summary: This study aimed to investigate the effects of STN-DBS on PD patients with different levels of depression and identify predictors of these effects. The results showed that patients with moderate depression had better improvement, and gender (female) and preoperative HAMA scores were predictors of the effects of STN-DBS on PD depression.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Clinical Neurology
Thomas J. C. Zoon, Geeske van Rooijen, Georgina M. F. C. Balm, Isidoor O. Bergfeld, Joost G. Daams, Paul Krack, Damiaan A. J. P. Denys, Rob M. A. de Bie
Summary: This meta-analysis found that apathy is increased after STN DBS compared to the pre-operative state and medication only. The difference in severity of apathy remained significant after multiple analyses.
MOVEMENT DISORDERS
(2021)
Article
Behavioral Sciences
Willem B. Verwey, Anne-Lise Jouen, Peter F. Dominey, Jocelyne Ventre-Dominey
COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
J. Ventre-Dominey, G. Gibert, M. Bosse-Platiere, A. Farne, P. F. Dominey, F. Pavani
SCIENTIFIC REPORTS
(2019)
Article
Neurosciences
Zhengfei Hu, Huixiang Yang, Yuxiang Yang, Shuhei Nishida, Carol Madden-Lombardi, Jocelyne Ventre-Dominey, Peter Ford Dominey, Kenji Ogawa
FRONTIERS IN HUMAN NEUROSCIENCE
(2019)
Article
Computer Science, Cybernetics
Nicolas Cazin, Pablo Scleidorovich, Alfredo Weitzenfeld, Peter Ford Dominey
BIOLOGICAL CYBERNETICS
(2020)
Article
Computer Science, Artificial Intelligence
Clement Delgrange, Jean-Michel Dussoux, Peter Ford Dominey
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2020)
Article
Multidisciplinary Sciences
D. Farizon, P. F. Dominey, J. Ventre-Dominey
Summary: This study explored the impact of sensory manipulation on robotic embodiment related to social cognition, showing that tactile induction has more generalized effects on ownership, location, and agency. Interestingly, the strength of positive social feelings towards the robot does not seem to be directly linked to the intensity of embodiment sensations.
SCIENTIFIC REPORTS
(2021)
Article
Biochemical Research Methods
Peter Ford Dominey
Summary: Recent research shows that human brains exhibit hierarchical segmentation of event structure during continuous perception of movies or stories, with different time constants for processing. Neural responses align gradually based on segmentation hierarchy when participants hear the same sentence in different contexts. The study also demonstrates hierarchical narrative event segmentation properties in cortical processing of narrative structure.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Robotics
David Farizon, Peter Ford Dominey, Jocelyne Ventre-Dominey
Summary: Humans can establish social relations with robots through different spatial perspectives, and synchronous human-robot movements play a crucial role in generating positive changes in robot acceptability.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Peter Ford Dominey, Timothy M. Ellmore, Jocelyne Ventre-Dominey
Summary: Computational models of language are being used to understand the neural basis of language processing in humans. This study introduces a structured reservoir computing model to explain the hierarchical network properties of cortical activity during narrative comprehension. The researchers hypothesize that white matter connectivity plays a role in the discontinuities observed in the sensory-associative hierarchy of the cortex, and their findings support this hypothesis.
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
(2022)
Article
Computer Science, Cybernetics
Pablo Scleidorovich, Alfredo Weitzenfeld, Jean-Marc Fellous, Peter Ford Dominey
Summary: This research investigates the behavioral significance of speed profiles and how cortical networks encode this information. The study demonstrates that rats can associate different speed patterns with distinct behavioral choices. Using simulated navigation contexts and an embodied robotic setup, the researchers show that reservoir networks can discriminate between traversals of the same path with different speed profiles. Moreover, reservoir neurons exhibit a form of statistical mixed selectivity, which is characteristic of cortex and reservoirs, and may provide predictions for future experiments on rat cortex neural activity.
BIOLOGICAL CYBERNETICS
(2022)
Article
Neurosciences
Anne-Lise Jouen, Nicolas Cazin, Sullivan Hidot, Carol Madden-Lombardi, Jocelyne Ventre-Dominey, Peter Ford Dominey
Summary: This research investigates the common neural processes underlying comprehension of visual images and sentences. By comparing narrative processing across different modalities, the study found common central and frontal positivities in response to narrative incoherence, as well as a posterior positivity specific to sentences in a very late window.
BRAIN AND COGNITION
(2021)
Article
Psychology, Multidisciplinary
Gregoire Pointeau, Solene Mirliaz, Anne-Laure Mealier, Peter Ford Dominey
Summary: The narrative practice hypothesis suggests that children learn to understand and express reasons for behavior through narrative training. A model of narrative processing has been developed to demonstrate how narrative can be used to structure and describe experience.
FRONTIERS IN PSYCHOLOGY
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Takahisa Uchida, Hiroshi Ishiguro, Peter Ford Dominey
2020 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN)
(2020)