Brain Activity Monitoring for Parkinson's Disease Speech Impairment

Overseen By Erin Donahue, PhD

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Massachusetts General Hospital

Disqualifiers: Hearing loss, Non-English-speaking

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

80 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to understand how the brain processes speech in people with Parkinson's disease and other movement disorders. Researchers will collect brain activity data during deep brain stimulation, a surgical treatment that uses electrical signals to help control symptoms. Individuals diagnosed with Parkinson's disease, essential tremor, or dystonia and scheduled for deep brain stimulation surgery might qualify for this study. Participants must be able to follow instructions and have normal hearing. As an unphased study, this trial offers a unique opportunity to contribute to groundbreaking research that could enhance future treatments for movement disorders.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that this brain signal data collection is safe?

Research has shown that collecting data on brain activity is generally safe. This method involves measuring brain signals, often during procedures like surgery for Parkinson's disease. Reviewed studies did not report any serious side effects.

Researchers have used these techniques in other studies to understand brain function, and no major safety concerns have been mentioned. Therefore, for those considering joining a trial using this method, current evidence suggests it is well-tolerated. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about this trial because it focuses on a new way to understand and address speech impairments in Parkinson's disease patients. Unlike traditional treatments that often focus on managing symptoms with medication or surgery, this approach involves collecting brain signal data during deep brain stimulation (DBS) surgery. By analyzing these signals, scientists hope to gain insights into how brain activity affects speech, potentially leading to more targeted therapies in the future. This method could pave the way for personalized treatment strategies that directly address the neural causes of speech difficulties in Parkinson's patients.

What evidence suggests that this brain signal data collection is effective for Parkinson's disease speech impairment?

Research has shown that speech problems in people with Parkinson's disease link to unusual brain activity, especially in areas that control speech. In this trial, participants will undergo brain signal data collection during deep brain stimulation (DBS) surgery. Studies have found that monitoring brain signals during DBS reveals these unusual activity patterns. This helps researchers understand how speech issues in Parkinson's connect to brain activity. By gathering this information, researchers can learn more about which brain activities cause speech problems. This knowledge could eventually lead to better treatments for speech issues in people with Parkinson's. ^{6 7 8 9 10}

Are You a Good Fit for This Trial?

This trial is for adults aged 18-85 with Parkinson's disease, essential tremor, or dystonia who are scheduled for Deep Brain Stimulation (DBS) implantation. Participants must be able to understand the study and follow instructions. People with hearing loss or those who do not speak English cannot join.

Inclusion Criteria

I am scheduled for DBS implantation for Parkinson's, essential tremor, or dystonia.

Subjects able to provide informed consent and comply with task instructions.

Exclusion Criteria

I have hearing loss.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Data Collection

Brain signal data collection at the time of deep brain stimulation (DBS) surgery

Duration of single DBS surgery

Follow-up

Participants are monitored for safety and effectiveness after data collection

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

• Electrophysiological data collection

Trial Overview

The study aims to gather electrophysiological data on brain activity during speech perception and production in patients undergoing DBS surgery for movement disorders.

How Is the Trial Designed?

Group I: Brain signal data collection Experimental Treatment 1 Intervention

Brain signal data collection at the time of deep brain stimulation (DBS) surgery.

Who Is Running the Clinical Trial?

Massachusetts General Hospital

Lead Sponsor

Trials

3,066

Recruited

13,430,000+

Published Research Related to This Trial

In patients with Parkinson's disease, performing speech and motor tasks leads to increased β oscillations in the subthalamic nucleus, which may explain the worsening of motor symptoms during these activities.

The study found that different behavioral tasks can switch β power states, suggesting that monitoring these changes could help in developing closed-loop neuromodulatory devices for better management of Parkinson's disease symptoms.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Transient and state modulation of beta power in human subthalamic nucleus during speech production and finger movement. Hebb, AO., Darvas, F., Miller, KJ.[2021]

The study evaluated the use of a portable voice accumulator (PVA) to assess treatment effects on speech and voice in 15 participants with mild-moderate Parkinson's disease, but only six provided sufficient data due to technical issues and handling difficulties.

Results indicated that daily life voice recordings captured different changes in voice sound levels compared to controlled studio recordings, suggesting that PVAs can offer valuable insights into real-world voice use, although improvements in usability and study protocols are needed.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Using Portable Voice Accumulators to Study Transfer of Speech Outcomes Following Intervention - A Feasibility Study. Steurer, H., Körner Gustafsson, J., Franzén, E., et al.[2021]

This review highlights the need for standardized methods in recording and analyzing speech in patients with movement disorders, focusing on factors like recording environment and vocal tasks to improve clinical assessments.

The study identified specific acoustic features that differentiate speech patterns in patients with hypokinetic and hyperkinetic dysarthria, suggesting that these features can be used for more accurate diagnosis and treatment evaluation.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Guidelines for Speech Recording and Acoustic Analyses in Dysarthrias of Movement Disorders. Rusz, J., Tykalova, T., Ramig, LO., et al.[2022]

Smartphone technology can effectively capture speech abnormalities in individuals at high risk of developing Parkinson's disease, demonstrating its potential as a tool for early detection.

Acoustic measurements of speech, such as frequency variability and pause duration, were able to distinguish between individuals with Parkinson's and healthy controls with high accuracy (area under curve of 0.85), suggesting that smartphone-collected speech data could enhance diagnostic processes for neurodegenerative diseases.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson's Disease. Rusz, J., Hlavnicka, J., Tykalova, T., et al.[2019]

Patients with Parkinson's disease showed abnormal auditory processing during speech, as evidenced by less suppression of brain activity in response to their own speech sounds compared to age-matched controls, indicating impaired self-monitoring of speech.

This study is the first to identify early electrophysiological changes in auditory processing related to speech in Parkinson's patients who do not report noticeable speech deficits, suggesting a potential mechanism for speech difficulties as the disease progresses.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Deficits in monitoring self-produced speech in Parkinson's disease. Railo, H., Nokelainen, N., Savolainen, S., et al.[2021]

A study involving 59 patients with Parkinson's disease revealed that reliable scoring of speech impairments correlates more closely with motor and cognitive issues than with traditional acoustic measures.

Articulation difficulties in these patients are linked to abnormal activity in the left inferior frontal cortex, suggesting that this brain region's connectivity with motor areas plays a key role in how cognitive decline affects speech quality.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Aberrant neurophysiological signaling associated with speech impairments in Parkinson's disease. Wiesman, AI., Donhauser, PW., Degroot, C., et al.[2023]

Individuals with mild Parkinson's disease (PD) show similar patterns of muscle coordination during speech as healthy controls, indicating that some motor functions may still be preserved.

However, PD participants have a reduced amplitude ratio in muscle activity, suggesting that their ability to generate strong motor commands for speech is impaired, which contributes to symptoms like bradykinesia and hypokinesia.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Polar-phase indices of perioral muscle reciprocity during syllable production in Parkinson's disease. Chu, SY., Barlow, SM., Lee, J., et al.[2018]

Levodopa and subthalamic nucleus (STN) stimulation can have varying effects on dysarthria in Parkinson's disease, with some patients experiencing speech improvement while others may see worsening due to factors like dyskinesias or improper stimulation parameters.

The study of four cases highlights that while some aspects of speech can improve with treatment, the complex coordination required for effective speech may not respond well to STN stimulation, suggesting a need for careful management of stimulation settings.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Changes induced by levodopa and subthalamic nucleus stimulation on parkinsonian speech. Pinto, S., Gentil, M., Krack, P., et al.[2013]

In a study involving 11 patients with Parkinson's disease, researchers found that high-gamma activity in the subthalamic nucleus (STN) is associated with speech production and can differentiate between articulators like the tongue and lips, indicating its role in encoding speech at a subcortical level.

The STN showed articulator-specific activity before the sensorimotor cortex during speech articulation, suggesting that the STN may play a crucial role in the timing and organization of speech production, which is not currently reflected in existing models of speech.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Subthalamic Nucleus and Sensorimotor Cortex Activity During Speech Production. Chrabaszcz, A., Neumann, WJ., Stretcu, O., et al.[2020]

Citations

1.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC11747345/

Electrophysiological approaches to informing therapeutic ...

Studies have demonstrated that the use of MER improves clinical outcomes for DBS in ET patients, allowing for more accurate targeting and ...

2.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC10104849/

Aberrant neurophysiological signaling associated with speech ...

We show that articulation impairments in patients with PD are associated with aberrant activity in the left inferior frontal cortex.

3.

nature.com

nature.com/articles/s41597-024-03768-1

Exploring the electrophysiology of Parkinson's disease with ...

This dataset contains simultaneous MEG and deep brain recordings of 20 PD patients who were implanted with electrodes for therapeutic deep brain ...

4.

sciencedirect.com

sciencedirect.com/science/article/pii/S2352396424002366

The neurophysiological brain-fingerprint of Parkinson's ...

Our study shows that brain-fingerprints derived from neurophysiological brain activity are associated with pathophysiological and clinical traits of individual ...

5.

sciencedirect.com

sciencedirect.com/science/article/pii/S2215016125005060

Vocal Features Based Parkinson's Detection: An Ensemble ...

The data presents a comparative analysis between individuals with Parkinson's Disease (PD) and healthy controls, categorized by gender and age.

6.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC12075271/

In vitro electrophysiological characterization of Parkinson's ...

This review highlights the importance of employing electrophysiological techniques, such as patch-clamp recordings and microelectrode arrays, in ...

7.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC9139946/

Parkinson's Disease Detection from Resting-State EEG ...

In this study, novel efficient common spatial pattern-based approaches for detecting Parkinson's disease in two cases, off–medication and on–medication, are ...

8.

nature.com

nature.com/articles/s41597-024-03356-3

A longitudinal electrophysiological and behavior dataset ...

Here we presented an electrophysiological dataset collected from layer V of the primary motor cortex (M1) and the corresponding behavior ...

9.

neurologylive.com

neurologylive.com/view/using-digital-data-improve-pd-management-roee-gilron-aiden-arnold

Ro'ee Gilron, PhD & Aiden Arnold, PhD, MSc

The lead neuroscientist and lead data scientist at Rune Labs talked about leveraging mobility data to monitor progression in patients with Parkinson disease.

10.

nature.com

nature.com/articles/s41598-022-26644-7

Detection of Parkinson's disease from EEG signals using ...

In this study, we present efficient discrete wavelet transform (DWT)-based methods for detecting PD from health control (HC) in two cases, namely, off-and on- ...