Beta Events and Sensory Perception

NCT ID: NCT04062318

Last Updated: 2025-09-17

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

COMPLETED

Clinical Phase

NA

Total Enrollment

45 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-07-25

Study Completion Date

2024-11-02

Brief Summary

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Low-frequency brain rhythms in the alpha (8-14Hz) and beta (15-29Hz) bands are strong predictors of perception and functional performance in a range of tasks, and are disrupted in several disease states. The purpose of this study is to investigate a direct causal relationship between low-frequency brain rhythms and sensory perception, and to optimize commonly used TMS paradigms to impact sensory processing and perception in a similar manner as endogenous rhythms. To do so, this study combines human magnetic resonance imaging (MRI), electroencephalography (EEG), non-invasive brain stimulation (transcranial magnetic stimulation; TMS), and biophysically principled computational neural modeling.

Detailed Description

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Prior studies have shown that high power low-frequency brain rhythms in the alpha (8-14) and beta (15-29 Hz) bands in primary somatosensory cortex (SI) are associated with a decreased probability of perceiving tactile stimuli at perceptual threshold, and can be modulated with attention. Furthermore, high power beta activity in SI emerges as brief "events" (\<150ms) in un-averaged data, the rate and timing of which underlie the attentional and perceptual effects associated with high beta power.

In this study, human electroencephalography (EEG) and a non-painful tactile detection task are used to assess if and how the rate and timing of ongoing rhythmic events in the alpha/beta bands prior to a tactile stimulus causally impact touch perception, and how this relates to attention. A custom TMS protocol that is hypothesized to mimic endogenous beta-frequency event patterns is used to test whether TMS can impact perception in a similar manner. Finally, computational neural modeling designed to simulate macro-scale EEG signals is used to aid in the interpretation of potential neural circuit mechanisms underlying features of acquired EEG data.

The TMS-EEG components of this study will use a within-subjects crossover design. In initial study sessions, participants will have an MRI. In subsequent study sessions, participants will complete a tactile detection task while EEG data is recorded concurrent with online active or sham TMS. Analyses will focus on comparing detection probabilities of tactile stimuli presented at perceptual threshold and tactile evoked response potential waveforms between trials in which TMS pulses or endogenous beta events occur with similar timing and intensity.

Conditions

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Beta Rhythm Tactile Perception

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

All participants will complete an initial MRI. MRIs are subsequently used for TMS neuronavigation (region of interest targeting). There is no intervention applied during the MRI session.

In two subsequent concurrent TMS-EEG sessions, all participants will receive active TMS while carrying out a tactile detection task. During one of the two TMS-EEG sessions, TMS will be applied over primary somatosensory cortex. During the other TMS-EEG session, TMS will be applied over a control brain region.

The order of somatosensory vs. non-somatosensory TMS targeting will be counterbalanced across participants.
Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

SINGLE

Participants
Participants will be unaware of the order in which they receive TMS interventions.

Study Groups

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Tactile detection task with online TMS-EEG

Participants receive perceptual threshold-level tactile stimuli to the third digit of the right hand and report detection or non-detection. EEG is recorded and TMS is applied over somatosensory cortex during the tactile detection task.

Group Type EXPERIMENTAL

Online active TMS

Intervention Type DEVICE

One single pulse or triple pulse train (3 pulses, 20ms inter-pulse interval) of TMS will be delivered per trial (at least 5 seconds apart) "online", or during the tactile detection task, at less than or equal to 80% active motor threshold.

Tactile detection task with online control TMS-EEG

Participants receive perceptual threshold-level tactile stimuli to the third digit of the right hand and report detection or non-detection. EEG is recorded and TMS is applied over a control brain region during the tactile detection task. This control condition is intended to mimic the peripheral (e.g. cranial/facial muscle and/or nerve activation, auditory evoked response), but not biological effects of TMS specifically related to somatosensory perception.

Group Type ACTIVE_COMPARATOR

Online active TMS

Intervention Type DEVICE

One single pulse or triple pulse train (3 pulses, 20ms inter-pulse interval) of TMS will be delivered per trial (at least 5 seconds apart) "online", or during the tactile detection task, at less than or equal to 80% active motor threshold.

Interventions

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Online active TMS

One single pulse or triple pulse train (3 pulses, 20ms inter-pulse interval) of TMS will be delivered per trial (at least 5 seconds apart) "online", or during the tactile detection task, at less than or equal to 80% active motor threshold.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Ability to provide informed consent/assent
* Age: 18-65 years
* English fluency: participants must be able to understand screening questionnaires and task instructions spoken/written in English.
* Right handed: to reduce heterogeneity related to hand dominance, since our task involves touch perception on the hand, and examination of neural correlates in lateralized brain regions.

Exclusion Criteria

* History of fainting spells of unknown or undetermined etiology that might constitute seizures
* History of seizures, diagnosis of epilepsy, or immediate (1st degree relative) family history epilepsy
* Any progressive (e.g., neurodegenerative) neurological disorder
* Chronic medical conditions that may cause a medical emergency in case of a provoked seizure (cardiac malformation, cardiac dysrhythmia, asthma, etc.)
* Metal implants (excluding dental fillings)
* Pacemaker
* Implanted medication pump or cochlear implant
* Vagal nerve stimulator
* Deep brain stimulator
* TENS unit (unless removed completely for the study)
* Ventriculo-peritoneal shunt
* Signs of increased intracranial pressure
* Intracranial lesion
* History of head injury resulting in prolonged loss of consciousness
* Pregnancy
* Participants who have received prior TMS for medical treatment purposes.
* Intellectual Disability or autism spectrum disorder (ASD)
* Active psychosis, diagnosis of unipolar depression or bipolar disorder, active severe substance use disorders (within the last month), or active suicidal intent or ideations.
* Conditions that may result in the inability to effectively carry out the tactile detection task, including loss of feeling, neuropathy or nerve damage in the hands or feet, chronic pain or fibromyalgia, and pain due to cancer, infection or arthritis.
* If the participant is actively taking any of the medications that increase risk from TMS as indicated below, of if they have ingested any alcohol or any other drugs of abuse (see https://www.drugabuse.gov/drugs-abuse) on the day of the study session (prior to the session).

Contraindicated medications:

alcohol Amitriptyline Amphetamines ampicillin Anticholinergics Antihistamines aripiprazole BCNU \*\*bupropion\*\* cephalosporins chlorambucil chloroquine Chlorpromazine citalopram Clozapine Cocaine cyclosporine cytosine arabinoside Doxepine duloxetine fluoxetine fluphenazine fluvoxamine Foscarnet gamma-hydroxybutyrate (GHB) Ganciclovir haloperidol imipenem Imipramine isoniazid ketamine levofloxacin Lithium Maprotiline MDMA (ecstasy) mefloquine methotrexate metronidazole mianserin mirtazapine Nortriptyline olanzapine paroxetine penicillin phencyclidine (PCP, angel's dust) pimozide quetiapine reboxetine risperidone Ritonavir \*\*Sertraline\*\* Sympathomimetic theophylline venlafaxine vincristine ziprasidone
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Institute of General Medical Sciences (NIGMS)

NIH

Sponsor Role collaborator

Brown University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Stephanie R Jones, PhD

Role: PRINCIPAL_INVESTIGATOR

Brown University

Locations

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Brown University, Carney Institute for Brain Science Human Testing Space (HuTS)

Providence, Rhode Island, United States

Site Status

Countries

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United States

References

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Jones SR, Kerr CE, Wan Q, Pritchett DL, Hamalainen M, Moore CI. Cued spatial attention drives functionally relevant modulation of the mu rhythm in primary somatosensory cortex. J Neurosci. 2010 Oct 13;30(41):13760-5. doi: 10.1523/JNEUROSCI.2969-10.2010.

Reference Type BACKGROUND
PMID: 20943916 (View on PubMed)

Sherman MA, Lee S, Law R, Haegens S, Thorn CA, Hamalainen MS, Moore CI, Jones SR. Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice. Proc Natl Acad Sci U S A. 2016 Aug 16;113(33):E4885-94. doi: 10.1073/pnas.1604135113. Epub 2016 Jul 28.

Reference Type BACKGROUND
PMID: 27469163 (View on PubMed)

Shin H, Law R, Tsutsui S, Moore CI, Jones SR. The rate of transient beta frequency events predicts behavior across tasks and species. Elife. 2017 Nov 6;6:e29086. doi: 10.7554/eLife.29086.

Reference Type BACKGROUND
PMID: 29106374 (View on PubMed)

Jones SR, Pritchett DL, Stufflebeam SM, Hamalainen M, Moore CI. Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. J Neurosci. 2007 Oct 3;27(40):10751-64. doi: 10.1523/JNEUROSCI.0482-07.2007.

Reference Type BACKGROUND
PMID: 17913909 (View on PubMed)

Jones SR, Pritchett DL, Sikora MA, Stufflebeam SM, Hamalainen M, Moore CI. Quantitative analysis and biophysically realistic neural modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory-evoked responses. J Neurophysiol. 2009 Dec;102(6):3554-72. doi: 10.1152/jn.00535.2009. Epub 2009 Oct 7.

Reference Type BACKGROUND
PMID: 19812290 (View on PubMed)

Other Identifiers

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P20GM103645

Identifier Type: NIH

Identifier Source: secondary_id

View Link

1902002327

Identifier Type: -

Identifier Source: org_study_id

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