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Modulation of Spontaneous Cortical Activity by tDCS: BRAIN Initiative I

The Impact of Spontaneous Cortical Activity on Neural Oscillations and Behavioral Performance: Evidence From High-definition tDCS and MEG

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03672747
Enrollment
133
Registered
2018-09-14
Start date
2019-02-20
Completion date
2023-05-31
Last updated
2024-07-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Brain Function

Brief summary

This study will determine whether transcranial direct current stimulation (tDCS) can be used alter the amplitude of spontaneous neural activity, and thereby modulate cognitive function in healthy adults

Detailed description

An emerging neurological tool, called transcranial Direct Current Stimulation (tDCS), has recently been shown to safely and effectively enhance cognition in healthy individuals, as well as reduce key symptomatology in disorders such as stroke and depression, with only negligible side effects. tDCS delivers low-amplitude current to the scalp using small electrodes and part of this current passes through the skull and modulates neural activity in the underlying brain region. How this tiny amount of electric current acts to improve cognitive function and reduce symptoms (e.g., motor impairments in stroke patients with a lesion in motor brain areas) is currently unknown, although many investigators across the world are now working on this problem. Magnetoencephalography (MEG) offers a unique view of neural function, as it can delineate changes in active brain regions with excellent temporal resolution (\< 1 ms) and high spatial accuracy (2-3 mm). MEG non-invasively measures the magnetic fields that emanate from active neocortical cells. The potential of the MEG technique to precisely monitor the neural effects of tDCS shows extreme promise, but to date the method has been rarely utilized in this area. Under this protocol, Modulation of Spontaneous Cortical Activity by tDCS: BRAIN Initiative I, approximately 124 participants will provide written informed consent, undergo cognitive and behavioral testing and a structural MRI during a single visit, and then return several weeks later (2-4 weeks) to complete a short tDCS session followed by a MEG recording (i.e., after tDCS). Most participants will return for two more visits, each separated by 2-4 weeks, that include a tDCS session followed by a MEG recording (i.e., 4 total visits). The three tDCS-MEG visits will be identical except that the nature of the stimulation (e.g., location, amplitude, direction/polarity) will be different.

Interventions

20 minutes duration using high-definition system with center-surround configuration

Sponsors

National Institute of Mental Health (NIMH)
CollaboratorNIH
University of Nebraska
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
BASIC_SCIENCE
Masking
DOUBLE (Subject, Investigator)

Masking description

Double-blinded

Intervention model description

Full crossover; all participants complete all conditions

Eligibility

Sex/Gender
ALL
Age
19 Years to 72 Years
Healthy volunteers
Yes

Inclusion criteria

* Informed consent obtained from the participant. * Age: 19-35 years of age at enrollment or 55-72 years of age at enrollment. * Gender: males and females included. * Right-handed based on the Edinburgh Handedness Inventory * Cognitive functioning: Intelligent Quotient (IQ) of 85 - 115 on the Wechsler Adult Intelligence Scale-Revised * Ability to complete the questionnaires in English, as not all the neuropsychological tests and questionnaires have been validated in other languages.

Exclusion criteria

* Current use of the following medications: psychotropic medications or other medications with significant CNS effects (e.g., antipsychotics, psychostimulants, anticonvulsants, alpha-agonists, adrenergic blockers, lithium, and sedating antihistamines), or other excluded medication. * Current psychiatric diagnosis based on the Mini-International Neuropsychiatric Interview (MINI) and/or the adult attention-deficit/hyperactivity disorder (ADHD) diagnostic interview. * Current substance abuse or substance dependence at any time. * The presence of a known neurological disorder or any major medical illness or injury impacting neurological/psychiatric function (e.g., diabetes, epilepsy, cerebral palsy, traumatic brain injury, significant environmental/toxic injury, neurodegenerative disorder, past meningitis/encephalitis). * General medical conditions: any major medical conditions that would interfere with involvement in the study or may affect central nervous system (CNS) function as judged by the investigative team. * History of clinically-significant head trauma. * Pregnancy * Any other condition that, in the opinion of the investigator, is a contraindication to participation * The presence of any ferrous metal implant, including orthodontics (e.g., braces), which may interfere with the MEG data acquisition and/or be a MRI safety concern. * Inability to correct visual acuity to 20/20 with corrective lenses (we can correct from +5 to -6 diopters in .5 diopter steps, separately for each eye, with non-magnetic corrective lenses in the laboratory).

Design outcomes

Primary

MeasureTime frameDescription
Behavioral Performance (Accuracy) on Cognitive Tests of Perceptual ProcessingDuring the 90 minutes following stimulationDo participants perform better in terms of accuracy following tDCS on behavioral measures of perceptual processing.
Behavioral Performance (Reaction Time) on Cognitive Tests of Perceptual ProcessingDuring the 90 minutes following stimulationDo participants perform better in terms of reaction time following tDCS on behavioral measures of perceptual processing.

Secondary

MeasureTime frameDescription
The Power of Spontaneous Alpha Activity as Quantified by MEG ImagingDuring the 90 minutes following stimulationDoes spontaneous alpha (9-13 Hz) power, as measured by MEG, get stronger following tDCS. Spontaneous activity refers to the level of background neural activity and is typically divided into frequency bands (e.g., alpha, gamma) that reflect the number of cycles per second. The outcome measure unit is nano-amperes square (nA\^2) since source-resolved MEG measures reflect electric current strength and not voltage units as in electroencephalography (EEG). The square is necessary since we examined power, which is the square of amplitude in the frequency domain. The unit is also commonly expressed as nAm\^2 since the strength of the electric current is over a defined length.
The Power of Oscillatory Alpha Activity as Quantified by MEG ImagingDuring the 90 minutes following stimulationDoes oscillatory alpha neural activity, as measured by MEG, get stronger following tDCS. Oscillatory activity refers band-limited increases or decreases in the power of neural activity, relative to baseline, in response to a stimulus.
The Power of Spontaneous Gamma Activity as Quantified by MEG ImagingDuring the 90 minutes following stimulationDoes spontaneous gamma (45-80 Hz) power, as measured by MEG, get stronger following tDCS. Spontaneous activity refers to the level of background neural activity and is typically divided into frequency bands (e.g., alpha, gamma) that reflect the number of cycles per second. The outcome measure unit is nano-amperes square (nA\^2) since source-resolved MEG measures reflect electric current strength and not voltage units as in electroencephalography (EEG). The square is necessary since we examined power, which is the square of amplitude in the frequency domain. The unit is also commonly expressed as nAm\^2 since the strength of the electric current is over a defined length.
The Power of Oscillatory Gamma Activity as Quantified by MEG ImagingDuring the 90 minutes following stimulationDoes oscillatory gamma neural activity, as measured by MEG, get stronger following tDCS. Oscillatory activity refers band-limited increases or decreases in the power of neural activity, relative to baseline, in response to a stimulus.

Countries

United States

Participant flow

Pre-assignment details

Note that 133 participants were enrolled using a cross-over design and randomized into one of six tracks. There was at least a 7 day washout between each of the three visits and this was the same across the six tracks.

Participants by arm

ArmCount
All Study Participants
All participants received all interventions.
124
Total124

Withdrawals & dropouts

PeriodReasonFG000FG001FG002FG003FG004FG005
Overall StudyLost to Follow-up112221

Baseline characteristics

CharacteristicAll Study Participants
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
21 Participants
Age, Categorical
Between 18 and 65 years
103 Participants
Age, Continuous44 years
Ethnicity (NIH/OMB)
Hispanic or Latino
14 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
110 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Mental health questionnaire124 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
12 Participants
Race (NIH/OMB)
Black or African American
8 Participants
Race (NIH/OMB)
More than one race
3 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
101 Participants
Region of Enrollment
United States
124 participants
Sex: Female, Male
Female
65 Participants
Sex: Female, Male
Male
59 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 1330 / 1330 / 133
other
Total, other adverse events
0 / 1330 / 1330 / 133
serious
Total, serious adverse events
0 / 1330 / 1330 / 133

Outcome results

Primary

Behavioral Performance (Accuracy) on Cognitive Tests of Perceptual Processing

Do participants perform better in terms of accuracy following tDCS on behavioral measures of perceptual processing.

Time frame: During the 90 minutes following stimulation

Population: 124 participants completed all three conditions (anodal, cathodal, sham) and have evaluable data.

ArmMeasureValue (MEAN)Dispersion
Anodal StimulationBehavioral Performance (Accuracy) on Cognitive Tests of Perceptual Processing97 percent correctStandard Deviation 1.26
Cathodal StimulationBehavioral Performance (Accuracy) on Cognitive Tests of Perceptual Processing98 percent correctStandard Deviation 1.05
Sham Stimulation (Placebo)Behavioral Performance (Accuracy) on Cognitive Tests of Perceptual Processing98 percent correctStandard Deviation 0.94
Primary

Behavioral Performance (Reaction Time) on Cognitive Tests of Perceptual Processing

Do participants perform better in terms of reaction time following tDCS on behavioral measures of perceptual processing.

Time frame: During the 90 minutes following stimulation

Population: 124 participants completed all three conditions (anodal, cathodal, sham) and have evaluable data.

ArmMeasureValue (MEAN)Dispersion
Anodal StimulationBehavioral Performance (Reaction Time) on Cognitive Tests of Perceptual Processing713 millisecondsStandard Deviation 67
Cathodal StimulationBehavioral Performance (Reaction Time) on Cognitive Tests of Perceptual Processing708 millisecondsStandard Deviation 58
Sham Stimulation (Placebo)Behavioral Performance (Reaction Time) on Cognitive Tests of Perceptual Processing724 millisecondsStandard Deviation 52
Secondary

The Power of Oscillatory Alpha Activity as Quantified by MEG Imaging

Does oscillatory alpha neural activity, as measured by MEG, get stronger following tDCS. Oscillatory activity refers band-limited increases or decreases in the power of neural activity, relative to baseline, in response to a stimulus.

Time frame: During the 90 minutes following stimulation

Population: 124 participants completed all three conditions (anodal, cathodal, sham) and have evaluable data.

ArmMeasureValue (MEAN)Dispersion
Anodal StimulationThe Power of Oscillatory Alpha Activity as Quantified by MEG Imaging-27.34 percent increase/decrease from baselineStandard Error 3.18
Cathodal StimulationThe Power of Oscillatory Alpha Activity as Quantified by MEG Imaging-26.10 percent increase/decrease from baselineStandard Error 3.03
Sham Stimulation (Placebo)The Power of Oscillatory Alpha Activity as Quantified by MEG Imaging-30.88 percent increase/decrease from baselineStandard Error 5.11
Secondary

The Power of Oscillatory Gamma Activity as Quantified by MEG Imaging

Does oscillatory gamma neural activity, as measured by MEG, get stronger following tDCS. Oscillatory activity refers band-limited increases or decreases in the power of neural activity, relative to baseline, in response to a stimulus.

Time frame: During the 90 minutes following stimulation

Population: 124 participants completed all three conditions (anodal, cathodal, sham) and have evaluable data.

ArmMeasureValue (MEAN)Dispersion
Anodal StimulationThe Power of Oscillatory Gamma Activity as Quantified by MEG Imaging10.78 percent increase/decrease from baselineStandard Error 2.74
Cathodal StimulationThe Power of Oscillatory Gamma Activity as Quantified by MEG Imaging6.35 percent increase/decrease from baselineStandard Error 1.98
Sham Stimulation (Placebo)The Power of Oscillatory Gamma Activity as Quantified by MEG Imaging6.28 percent increase/decrease from baselineStandard Error 1.87
Secondary

The Power of Spontaneous Alpha Activity as Quantified by MEG Imaging

Does spontaneous alpha (9-13 Hz) power, as measured by MEG, get stronger following tDCS. Spontaneous activity refers to the level of background neural activity and is typically divided into frequency bands (e.g., alpha, gamma) that reflect the number of cycles per second. The outcome measure unit is nano-amperes square (nA\^2) since source-resolved MEG measures reflect electric current strength and not voltage units as in electroencephalography (EEG). The square is necessary since we examined power, which is the square of amplitude in the frequency domain. The unit is also commonly expressed as nAm\^2 since the strength of the electric current is over a defined length.

Time frame: During the 90 minutes following stimulation

Population: 124 participants completed all three conditions (anodal, cathodal, sham) and have evaluable data.

ArmMeasureValue (MEAN)Dispersion
Anodal StimulationThe Power of Spontaneous Alpha Activity as Quantified by MEG Imaging23.26 nano-amperes square (nA^2)Standard Error 3.06
Cathodal StimulationThe Power of Spontaneous Alpha Activity as Quantified by MEG Imaging15.88 nano-amperes square (nA^2)Standard Error 2.18
Sham Stimulation (Placebo)The Power of Spontaneous Alpha Activity as Quantified by MEG Imaging17.02 nano-amperes square (nA^2)Standard Error 2.46
Secondary

The Power of Spontaneous Gamma Activity as Quantified by MEG Imaging

Does spontaneous gamma (45-80 Hz) power, as measured by MEG, get stronger following tDCS. Spontaneous activity refers to the level of background neural activity and is typically divided into frequency bands (e.g., alpha, gamma) that reflect the number of cycles per second. The outcome measure unit is nano-amperes square (nA\^2) since source-resolved MEG measures reflect electric current strength and not voltage units as in electroencephalography (EEG). The square is necessary since we examined power, which is the square of amplitude in the frequency domain. The unit is also commonly expressed as nAm\^2 since the strength of the electric current is over a defined length.

Time frame: During the 90 minutes following stimulation

Population: 124 participants completed all three conditions (anodal, cathodal, sham) and have evaluable data.

ArmMeasureValue (MEAN)Dispersion
Anodal StimulationThe Power of Spontaneous Gamma Activity as Quantified by MEG Imaging3.46 nano-amperes square (nA^2)Standard Error 1.74
Cathodal StimulationThe Power of Spontaneous Gamma Activity as Quantified by MEG Imaging3.30 nano-amperes square (nA^2)Standard Error 1.89
Sham Stimulation (Placebo)The Power of Spontaneous Gamma Activity as Quantified by MEG Imaging2.43 nano-amperes square (nA^2)Standard Error 1.55

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026