3T MRI in Patients With Deep Brain Stimulation (DBS)

NCT ID: NCT03153670

Last Updated: 2024-05-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

250 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-06-01

Study Completion Date

2030-12-01

Brief Summary

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Deep brain stimulation (DBS) is an established treatment for advanced Parkinson's disease, medically refractory tremor, dystonia and obsessive compulsive disorder. Several hypotheses driven DBS trials are underway to study modulation of circuit dysfunction in other neurological and psychiatric disorders like epilepsy, Alzheimer's disease and depression. Recent reports suggest profound effects of DBS on the anatomy and function of downstream areas in the brain. For example electrical stimulation of limbic circuits is associated with increase in hippocampal neurogenesis. Similarly, stimulation of subthalamic nucleus (STN) or globus pallidus (GPi) results in activation of cortical motor circuits. Non-invasive imaging modalities are increasingly being employed in these investigations to better understand the effects of DBS on the structure and function of the brain.

There have been important advances in MRI and we now have MRI which provides higher resolution and higher quality brain images. More specifically, the investigators propose to use MRI to perform functional magnetic resonance imaging (i.e. fMRI) to assess the effects of deep brain stimulation on brain function and to assess whether fMRI can be used as an adjunct to improve clinical practice in these patients.

Detailed Description

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This is a prospective cohort study that will enroll patients who are about to or have already undergone DBS electrode placement for a variety of disorders including, but not limited to Parkinson's disease, essential tremor, dystonia, depression, epilepsy, neuropathic pain and Alzheimer's disease. This eligible patient population is broad but unified by the fact that they will all undergo DBS to treat specific circuit dysfunctions. Pre-operative DBS patients and patients with externalized leads or internalized IPG may be included.

We propose to study patients with externalized leads or internalized IPG programmed at either 'switched off' (IPG at 0 volt and off state) and 'switched on' settings We have already performed phantom safety testing for these experimental conditions and found it to be safe. We propose to perform the following scans:

1. Structural 1.5Tesla or 3Tesla MRI with 8 channel coil/or transmit-receive head coil - 3D FSPGR, standard FRFSE T2 scan, standard DTI scan (white matter tracts) and standard QSM (Quantitative Susceptibility Mapping) scan (Iron quantification).
2. Resting state and task based functional MRI with 8 channel coil

Further, we propose to assess whether the aforementioned scans can be used as an adjunct to improve current DBS post-operative follow up.

Conditions

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Neuro-Degenerative Disease

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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fMRI-based programming

DBS patients will undergo fMRI scanning while on different stimulation settings. The results will be fed to the programming clinician (movement disorder neurologist) to aid the conventional programming process at the clinician's discretion.

Group Type EXPERIMENTAL

fMRI

Intervention Type OTHER

DBS patients will undergo fMRI scanning. For each patient, scans will be performed using a selection of DBS settings. fMRI responses will be analysed to evaluate brain responses on different DBS settings. These results will be provided to the programming clinician to guide them choose the optimal setting for each patient at the clinician's discretion.

Interventions

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fMRI

DBS patients will undergo fMRI scanning. For each patient, scans will be performed using a selection of DBS settings. fMRI responses will be analysed to evaluate brain responses on different DBS settings. These results will be provided to the programming clinician to guide them choose the optimal setting for each patient at the clinician's discretion.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Age between 18 and 85 years of age
* Participants must be planned to undergo, or have undergone implantation of DBS electrodes
* Participants must be able to understand the purpose of this research and must sign the informed consent form.
* Participants must understand that the role of this research is to enhance our understanding of brain functioning and that he/she will not directly or indirectly benefit from the study.

Exclusion Criteria

* Participants who have serious cognitive or psychological impairments and cannot give informed consent.
* Participants who are unable to effectively or efficiently communicate, for example patients suffering from speech deficits (dysarthria, aphasia) or are non-English speaking.
Minimum Eligible Age

18 Years

Maximum Eligible Age

85 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Health Network, Toronto

OTHER

Sponsor Role lead

Responsible Party

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Andres M. Lozano

Neurosurgeon

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Andres Lozano

Role: PRINCIPAL_INVESTIGATOR

University Health Network, Toronto

Locations

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Toronto Western Hospital

Toronto, Ontario, Canada

Site Status RECRUITING

Countries

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Canada

Central Contacts

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Alexandre Boutet, MD/MSc

Role: CONTACT

(647) 463-5513

Tasnuva Hoque, BHA

Role: CONTACT

4166035800 ext. 2797

Facility Contacts

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Alexandre Boutet

Role: primary

(647) 463-5513

References

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Boutet A, Madhavan R, Elias GJB, Joel SE, Gramer R, Ranjan M, Paramanandam V, Xu D, Germann J, Loh A, Kalia SK, Hodaie M, Li B, Prasad S, Coblentz A, Munhoz RP, Ashe J, Kucharczyk W, Fasano A, Lozano AM. Predicting optimal deep brain stimulation parameters for Parkinson's disease using functional MRI and machine learning. Nat Commun. 2021 May 24;12(1):3043. doi: 10.1038/s41467-021-23311-9.

Reference Type BACKGROUND
PMID: 34031407 (View on PubMed)

Other Identifiers

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14-8255

Identifier Type: -

Identifier Source: org_study_id

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