New Insights into Essential Tremor Treatment
Research sheds light on brain activity in Essential Tremor patients.
Timothy O. West, Kenan Steidel, Tjalda Flessner, Alexander Calvano, Deniz Kucukahmetler, Marielle J. Stam, Meaghan E. Spedden, Benedikt Wahl, Veikko Jousmäki, John Eraifej, Ashwini Oswal, Tabish A. Saifee, Gareth Barnes, Simon F. Farmer, David J. Pedrosa, Hayriye Cagnan
― 7 min read
Table of Contents
Essential Tremor (ET) is a common condition that causes uncontrollable shaking or trembling. This shaking often affects the arms, head, or other parts of the body. Many people with ET find that their symptoms can interfere with daily activities, making tasks like writing, eating, and drinking challenging. Unfortunately, more than half of those affected don't respond well to medications that are typically used to treat this condition.
Treatment Options
For those who don't benefit from medication, there are surgical options. One method involves making cuts in a part of the brain called the thalamus. While this can help reduce tremors, it's a one-sided and permanent procedure. Additionally, sometimes the tremors come back.
A more adaptable option is Deep Brain Stimulation (DBS), which involves implanting a device that sends electrical signals to specific parts of the brain. This method is bilateral, meaning it affects both sides of the brain. However, it requires ongoing management, and research shows that about 70% of people may find it less effective over time. Regular adjustments to the device might help, but this can be difficult and time-consuming.
The challenges these patients face drive the search for better treatments that are less invasive and can provide timely help when tremors get worse. For instance, non-invasive stimulation methods are being explored as alternatives to DBS. One approach is Peripheral Nerve Stimulation, which involves sending signals to the nerves in the arms or legs. Studies suggest that this type of stimulation can impact how tremors occur, but results have been mixed.
The Brain's Role in Tremors
Research indicates that tremors in ET are linked to a network of areas in the brain, including the thalamus and cerebellum. These areas work together during movement and contribute to how smooth and controlled our actions are. Studies using different brain imaging techniques, like EEG and MEG, have shown that changes in these brain areas can be linked to tremors. This can help us learn more about how the brain handles tremors and movements.
Many treatments remain open-loop, meaning they don’t adapt to changes in tremor or movement. A better understanding of how the brain responds to tremors could lead to the development of closed-loop systems. These systems could automatically adjust stimulation based on the tremor's severity.
Brain Activity
InvestigatingIn a recent study, researchers aimed to explore how brain activity changed during reaching movements. They examined patients diagnosed with essential tremor and healthy individuals, observing how their brains reacted during tasks that involved reaching out to targets. They found that certain brain regions recorded activity that synchronized with tremors, which was particularly evident in the supplementary motor area (SMA).
Using advanced techniques, researchers localized brain activity that responded to both tremors and movements. By measuring brain waves during various stages of movement, they could see how the brain behaved when trying to reach for a target. These methods allowed them to break down brain activity into simpler components, providing insights into how different regions interact during movement.
Movement Tasks
Participants in the study completed a task that required them to reach for balloons. This task mimicked natural movement and allowed researchers to observe how well participants could perform while experiencing tremors. The tasks involved a series of steps, including holding a position and then reaching towards a target.
Data from reaching tasks revealed differences between ET patients and healthy participants. While both groups could reach the targets, ET patients tended to move more slowly. The researchers noted that the size of the targets and the uncertainty of the movement cues also played a role in how quickly participants could respond.
Analyzing Movement and Tremor
Using sophisticated analysis, researchers were able to isolate tremor signals from the movement data. They tracked how tremors changed during different phases of the task. This allowed them to gain insights into tremor severity and how it related to each patient's performance. The researchers also found a correlation between the tremor severity and the patients' clinical scores, which helped them better understand the impact of tremors on everyday life.
At the same time, they examined how specific brain regions were synchronized with tremors, particularly focusing on the cSMA and other areas. This information revealed that there are different brain sources involved in tremors and movements, indicating a more complex interaction in patients with ET.
Identifying Key Brain Regions
Further analysis revealed that the cSMA, along with other brain areas like the dorsolateral prefrontal cortex and cerebellum, showed increased synchronization with tremors. This finding aligns with earlier studies that identified these areas as playing a crucial role in managing movement and tremor responses.
These brain areas carry out different functions and are part of a network that helps control voluntary movements. Interestingly, researchers found that while the activity linked with tremors increased, the expected patterns of movement-related brain activity were also altered.
Movement Responsive Patterns
The researchers focused on how brain oscillations—rhythmic patterns of brain activity—changed during voluntary movements. In ET patients, there were noticeable differences in how these signals represented movement, particularly in the low beta frequency range. This disrupted oscillation might help the brain compensate for tremors.
Results showed that ET patients had increased low beta activity during reaching tasks compared to controls. This suggests that the changes in brain activity could be a response to the tremors, allowing patients to maintain some control during movements.
Linking Brain Activity and Tremor
In attempts to link brain activity with tremor severity, researchers used a convolutional neural network (CNN) model. This model looked at patterns within brain activity data to predict tremor severity. They found that certain brain signals could explain a significant portion of the variability in tremor severity.
Surprisingly, the models showed that frontal-parietal networks, which normally help in movement execution, were also linked to tremor severity. This emphasizes how intertwined movement signals and tremor signals can be in ET patients, raising questions about how therapies might be delivered or adjusted.
Implications for Neurostimulation
This research offers insight into potential strategies for developing new treatments for ET. By tracking how different brain areas react to tremors, it may be possible to create targeted stimulation approaches. These approaches might focus on areas that consistently show a link to tremor severity and movement execution.
The idea is that by understanding how the brain works during movements, we might better design stimulation therapies to improve patients' daily activities. Deep brain stimulation methods could use data on brain activity to adjust the treatment in real-time, based on the severity of tremor or the demands of a movement.
Future Directions
Emerging technologies, like optically pumped magnetometry (OPM), are giving researchers new tools to study brain function during natural movement. This technique enhances the ability to capture brain signals in real-time, allowing for more accurate readings of brain activity patterns during tasks that mimic everyday actions.
The findings suggest that therapies could be tailored to take advantage of the brain's natural rhythms and responses during movement. It also opens the door to potentially developing non-invasive techniques to modulate brain activity, improve tremor management, and help patients regain control over their movements.
Conclusion
Essential Tremor is a complex condition that affects many individuals, impacting their ability to perform daily tasks. Understanding how the brain responds during movement in patients with ET provides essential insights into better treatment options.
Research highlights the importance of the connections between different brain regions, how these networks function together, and how they can be influenced by tremors. As researchers continue to explore these dynamics, the potential for improved therapies grows, paving the way for enhanced quality of life for those living with Essential Tremor.
Original Source
Title: Essential Tremor Disrupts Rhythmic Brain Networks During Naturalistic Movement
Abstract: Essential Tremor (ET) is a very common neurological disorder characterised by involuntary rhythmic movements attributable to pathological synchronization within corticothalamic circuits. Previous work has focused on tremor in isolation, overlooking broader disturbances to motor control during naturalistic movements such as reaching. We hypothesised that ET disrupts the sequential engagement of large-scale rhythmic brain networks, leading to both tremor and deficits in motor planning and execution. To test this, we performed whole-head neuroimaging during an upper-limb reaching task using high-density electroencephalography in ET patients and healthy controls, alongside optically pumped magnetoencephalography in a smaller cohort. Key motor regions--including the supplementary motor area, premotor cortex, posterior parietal cortex, and motor cerebellum--were synchronized to tremor rhythms. Patients exhibited a 15% increase in low beta (14-21 Hz) desynchronization over the supplementary motor area during movement, which strongly correlating with tremor severity (R2 = 0.85). A novel dimensionality reduction technique revealed four distinct networks accounting for 97% of the variance in motor-related brain-wide oscillations, with ET altering their sequential engagement. Consistent with our hypothesis, the frontoparietal beta network- normally involved in motor planning-exhibited additional desynchronization during movement execution in ET patients. This altered engagement correlated with slower movement velocities, suggesting an adaptation towards feedback-driven motor control. These findings reveal fundamental disruptions in distributed motor control networks in ET and identify novel biomarkers as targets for next-generation brain stimulation therapies.
Authors: Timothy O. West, Kenan Steidel, Tjalda Flessner, Alexander Calvano, Deniz Kucukahmetler, Marielle J. Stam, Meaghan E. Spedden, Benedikt Wahl, Veikko Jousmäki, John Eraifej, Ashwini Oswal, Tabish A. Saifee, Gareth Barnes, Simon F. Farmer, David J. Pedrosa, Hayriye Cagnan
Last Update: 2024-12-12 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.06.26.600740
Source PDF: https://www.biorxiv.org/content/10.1101/2024.06.26.600740.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to biorxiv for use of its open access interoperability.