Review
Psychiatry
Cletus Cheyuo, Jurgen Germann, Kazuaki Yamamoto, Artur Vetkas, Aaron Loh, Can Sarica, Vanessa Milano, Ajmal Zemmar, Oliver Flouty, Irene E. Harmsen, Mojgan Hodaie, Suneil K. Kalia, David Tang-Wai, Andres M. Lozano
Summary: Deep brain stimulation (DBS) and non-invasive neuromodulation are being investigated for treating Alzheimer's Disease (AD). This study provides evidence that DBS may improve cognitive outcomes in older AD patients, while non-invasive neuromodulation may have a favorable effect in younger patients. Brain stimulation in AD may modulate specific brain networks, such as the default mode network, salience network, central executive network, and the Papez circuit.
TRANSLATIONAL PSYCHIATRY
(2022)
Article
Multidisciplinary Sciences
Michael Rosenblum, Arkady Pikovsky, Andrea A. Kuehn, Johannes L. Busch
Summary: The computation of instantaneous phase and amplitude using the Hilbert Transform is a powerful tool in data analysis, however, it is not suitable for causal estimation due to the requirement of knowledge of past and future signals. Real-time estimation of phase and amplitude is important in various fields, such as neuroscience. Three causal algorithms that do not rely on the Hilbert Transform but utilize synchronization and resonance were discussed and compared in this study, with their performance tested on synthetic data and accelerometer tremor measurements as well as Parkinsonian patient's brain activity.
SCIENTIFIC REPORTS
(2021)
Review
Clinical Neurology
Jiangwei Ding, Lei Wang, Wenchao Li, Yangyang Wang, Shucai Jiang, Lifei Xiao, Changliang Zhu, Xiaoyan Hao, Jiali Zhao, Xuerui Kong, Ziqin Wang, Guangyuan Lu, Feng Wang, Tao Sun
Summary: Dravet syndrome is a refractory developmental and epileptic encephalopathy, which can be treated with neuromodulation techniques. Vagus nerve stimulation may be an effective treatment, but carries risks of infection and device failure. The role of deep brain stimulation in DS requires further study.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Tim Denison, Martha J. Morrell
Summary: Neuromodulation devices are expected to have expanded applications by 2035 due to advances in understanding neuroanatomical networks and stimulation mechanisms. These devices allow for flexible and targeted stimulation, with various treatment options. However, ethical and economic considerations need to be addressed to ensure widespread access to these technologies.
Review
Neurosciences
Jose Antonio Camacho-Conde, Maria del Rosario Gonzalez-Bermudez, Marta Carretero-Rey, Zafar U. Khan
Summary: Brain stimulation, both noninvasive and invasive, has emerged as a valuable therapeutic tool for treating brain diseases. With advancements in technology, techniques such as rTMS, tDCS, and DBS have shown potential in the treatment of mental, psychiatric, and cognitive disorders.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Review
Medicine, General & Internal
Jana V. P. Devos, Yasin Temel, Linda Ackermans, Veerle Visser-Vandewalle, Oezguer A. Onur, Koen Schruers, Jasper Smit, Marcus L. F. Janssen
Summary: This paper provides an overview of the key aspects that need to be considered for conducting deep brain stimulation (DBS) studies.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Multidisciplinary Sciences
Steffen Eickhoff, Augusto Garcia-Agundez, Daniela Haidar, Bashar Zaidat, Michael Adjei-Mosi, Peter Li, Carsten Eickhoff
Summary: Miniaturized electrical stimulation (ES) implants have great potential, but real-time control using biophysical mechanistic algorithms is computationally complex. This study explores the feasibility of using computationally efficient machine learning methods to control ES implants. By calibrating the stimulated muscle on 11 rats, the study achieves a mean absolute error of 0.03 in an intra-subject setting and 0.2 in a cross-subject setting using a random forest regressor. This work is the first to demonstrate the feasibility of using AI to simulate complex ES mechanistic models, but more research is needed to reduce errors in cross-subject training.
SCIENTIFIC REPORTS
(2023)
Article
Optics
Linli Shi, Ying Jiang, Fernando R. Fernandez, Guo Chen, Lu Lan, Heng-Ye Man, John A. White, Ji-Xin Cheng, Chen Yang
Summary: The development of a tapered fiber optoacoustic emitter (TFOE) has enabled high-precision ultrasound stimulation at a spatial resolution of 39.6 μm, allowing for optoacoustic activation of single neurons or subcellular structures. The TFOE technology also facilitates direct measurement of the electrical response of single neurons to acoustic stimulation, revealing cell-type-specific responses of excitatory and inhibitory neurons to acoustic stimulation. TFOE shows promise as a non-genetic technology for single-cell and sub-cellular modulation, shedding new insights into the mechanism of ultrasound neurostimulation.
LIGHT-SCIENCE & APPLICATIONS
(2021)
Article
Engineering, Biomedical
D. Stoupis, T. Samaras
Summary: Using a genetic algorithm, the electrode combinations and injected current for deep brain stimulation were optimized. The results showed that optimization can achieve more accurate stimulation in the region of interest and reduce the electric field intensity in the surrounding brain areas.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Cell Biology
Alberto Benussi, Giorgi Batsikadze, Carina Franca, Rubens G. Cury, Roderick P. P. W. M. Maas
Summary: This paper comprehensively reviews the clinical and neurophysiological effects of transcranial direct current stimulation (tDCS), repetitive transcranial magnetic stimulation (rTMS), and dentate nucleus deep brain stimulation (DBS) in patients with hereditary ataxias, as well as the underlying mechanisms at the cellular and network level and future research perspectives.
Review
Clinical Neurology
Gavin J. B. Elias, Aaron Loh, Dave Gwun, Aditya Pancholi, Alexandre Boutet, Clemens Neudorfer, Juergen Germann, Andrew Namasivayam, Robert Gramer, Michelle Paff, Andres M. Lozano
Summary: Deep brain stimulation (DBS) of various brainstem targets has shown promising results for treating movement disorders, neuropathic pain, and neuropsychiatric conditions. Further large, controlled trials are necessary to fully establish the therapeutic potential of DBS in this complex area.
Article
Neurosciences
Michaela E. Alarie, Nicole R. Provenza, Michelle Avendano-Ortega, Sarah A. McKay, Ayan S. Waite, Raissa K. Mathura, Jeffrey A. Herron, Sameer A. Sheth, David A. Borton, Wayne K. Goodman
Summary: This study characterizes artifact sources in recordings from a bidirectional DBS platform and proposes methods to optimize recording configurations, improving the signal-to-noise ratio and addressing challenges posed by high amplitude stimulation and modulation of telemetry parameters.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Alberto Averna, Ines Debove, Andreas Nowacki, Katrin Peterman, Benoit Duchet, Mario Sousa, Elena Bernasconi, Laura Alva, Martin L. Lachenmayer, Michael Schuepbach, Claudio Pollo, Paul Krack, Thuy-Anh K. Nguyen, Gerd Tinkhauser
Summary: This study systematically investigated the spectral topography of the subthalamic nucleus (STN) in Parkinson's disease patients and evaluated its predictive performance for clinical response to deep brain stimulation (DBS). The results showed a heterogeneous distribution of spectral biomarkers within the STN, with beta oscillations being more spatially spread compared to other sub-bands. The spatial proximity to the beta hot spot and the distance to higher-frequency hot spots were found to be predictive for the best rigidity response to DBS. These findings provide important information for the implementation of next-generation sensing-based DBS.
MOVEMENT DISORDERS
(2023)
Article
Clinical Neurology
Massimo Piacentino, Giacomo Beggio, Oriela Rustemi, Giampaolo Zambon, Manuela Pilleri, Fabio Raneri
Summary: The study compared the accuracy and treatment outcomes of two techniques for deep brain stimulation electrode placement, with results showing that the modified technique significantly reduced errors in electrode placement compared to the standard technique, although the clinical difference between the two was not significant.
ACTA NEUROCHIRURGICA
(2021)
Article
Clinical Neurology
Jimmy C. Yang, Katie L. Bullinger, Faical Isbaine, Abdulrahman Alwaki, Enrico Opri, Jon T. Willie, Robert E. Gross
Summary: CM deep brain stimulation (DBS) shows promise in treating drug-resistant generalized epilepsy and bifrontal epilepsy, with a significant reduction in seizure frequency observed in patients. Further studies are needed to explore the optimal use of CM DBS in different types of epilepsy and its impact on treatment outcomes.
JOURNAL OF NEUROSURGERY
(2022)
Article
Clinical Neurology
Jun-Pyo Hong, Hanim Kwon, Euyhyun Park, Sun-Uk Lee, Chan-Nyoung Lee, Byung-Jo Kim, Ji-Soo Kim, Kun-Woo Park
Summary: In patients with mild-to-moderate PD, vestibular function assessed by video head-impulse tests appears relatively preserved and has minimal impact on the risk of falls. Risk of postural instability is associated with the severity of clinical symptoms in PD.
PARKINSONISM & RELATED DISORDERS
(2024)
Article
Clinical Neurology
Yaqin Xiang, XiuRong Huang, Qian Xu, Zhenhua Liu, Yase Chen, Qiying Sun, Junling Wang, Hong Jiang, Lu Shen, Xinxiang Yan, Beisha Tang, Jifeng Guo
Summary: Using the novel data-driven method DEBM, this study determined the sequence of several common biomarker changes in Parkinson's disease (PD). The left putamen was found to be the earliest biomarker to become abnormal, followed by the right putamen, CSF alpha-synuclein, right caudate, left caudate, and serum NfL. The estimated disease stages showed significant differences between PD and healthy controls, and achieved a high accuracy for distinguishing PD from HC.
PARKINSONISM & RELATED DISORDERS
(2024)
Article
Clinical Neurology
Yan Li, David J. McLernon, Carl E. Counsell, Angus D. Macleod
Summary: This study aimed to investigate the incidence and risk factors for institutionalisation in Parkinson's disease (PD) and atypical parkinsonism (AP). The study found that institutionalisation was more frequent in AP compared to PD and controls. Age, poorer cognition, and more-severe parkinsonian impairment were independent predictors of institutionalisation.
PARKINSONISM & RELATED DISORDERS
(2024)