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TMS Related Biomarker Assessments

TMS Related Biomarker Assessments

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05660018
Enrollment
10
Registered
2022-12-21
Start date
2023-01-07
Completion date
2025-02-14
Last updated
2026-01-09

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

Conditions

Schizophrenia, Schizophrenia Schizoaffective

Keywords

schizophrenia, Transcranial magnetic stimulation

Brief summary

Patients with schizophrenia spectrum disorder (SSD) will be exposed to active and sham repetitive transcranial magnetic stimulation (rTMS) in separate sessions. SSD-related biomarkers will be assessed before and after the rTMS administration.

Detailed description

Electrical neural oscillations of the brain can be measured at many levels, ranging from single cell to local field potentials in animals, to large-scale synchronized activities in the human scalp. New evidence suggests that there may be common underlying abnormalities in oscillatory activities that are associated with schizophrenia-related cognitive and functional impairments. There is currently no treatment for these electrical oscillation dysfunctions. Transcranial magnetic stimulation (TMS) provides a non-invasive means for altering brain electrical neural activity. TMS has been approved by FDA for the treatment of depression and many other mental disorders. It has been used in a wide range of clinical research, especially in neurology and psychiatry. The investigators aim to develop TMS paradigms that will modulate brain responses during basic sensory to more complex cognitive performance and determine the parameters in anatomic locations and TMS modalities that may effectively and safely modulate neural activities. If the current experiments successfully identified TMS methods/paradigms that improve neural oscillation and cognitive performances in schizophrenia patients, in the future (not part of the current protocol), the investigators can then develop specific TMS treatment that may correct abnormal brain function and improve cognition and clinical symptoms of schizophrenia.

Interventions

DEVICEactive rTMS first, then sham rTMS

Active rTMS is delivered on the first visit, then sham rTMS is delivered on the second visit.

DEVICEsham rTMS first, then active rTMS

Sham rTMS is delivered on the first visit, then active rTMS is delivered on the second visit.

Sponsors

University of Maryland, Baltimore
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* Male and Female between ages 18-65 * Ability to give written informed consent (age 18 or above) * Diagnosed with schizophrenia-spectrum disorder and Evaluation to Sign Consent (ESC) above10.

Exclusion criteria

* Any history of seizures. * Significant alcohol or other drug use (substance dependence within 6 months or substance abuse within 1 month) other than nicotine or marijuana dependence. * Any major medical illnesses that may affect normal brain functioning. Examples of these conditions include, but not limited to, stroke, CNS infection or tumor, other significant brain neurological conditions. * Taking \> 400 mg clozapine/day * Failed TMS screening questionnaire * Cardiac pacemakers, implanted medication pumps, intracardiac lines, or acute, unstable cardiac disease, with intracranial implants (e.g. aneurysm clips, shunts, stimulators, cochlear implants, or electrodes) or any other metal object within or near the head, excluding the mouth, that cannot be safely removed. * History of head injury with loss of consciousness over 10 minutes; history of brain surgery * Can not refrain from using alcohol and/or marijuana 24 hours or more & cigarette smoking half and hour or more prior to experiments. * Woman who is pregnant (child-bearing potential but not on contraceptive and missing menstrual period; or by self report; or by positive pregnancy test) or has had unprotected sexual intercourse without birth control in the last 4 weeks.

Design outcomes

Primary

MeasureTime frameDescription
Change of Resting-state Functional Connectivity (rsFC) by Active and Sham rTMS2 weeksThe strength of rsFC was first defined by correlation coefficient (r). Because the distribution of r values is highly skewed, z scores (normally distributed) were computed via fisher r-to-z transform. The z score central value (i.e., z score of 0) represents no relationship between the two brain regions. A positive (negative) z score indicates a positive (negative) association between the two brain regions. Stronger rsFC (i.e., larger positive z score) was related to stronger connection between the two brain regions. The differences of rsFC between active and sham were reported. A positive (negative) value of rsFC change suggests the rsFC was enhanced (weakened) by active TMS.
Change of Mismatch Negativity (MMN) From Electroencephalography (EEG) Signals by Active and Sham rTMS2 weeksTMS effect is explored by comparing MMN changes from active and sham rTMS. MMN is measured by subtracting the averaged EEG response to a set of standard stimuli from the averaged response to rarer deviant stimuli, and taking the amplitude of this difference wave in a given time window. The differences of MMN between active and sham were reported. A negative (positive) value of rsFC change suggests the MMN was enhanced (weakened) by active TMS.

Countries

United States

Participant flow

Participants by arm

ArmCount
Active rTMS First and Sham rTMS Second
Participants in this arm will receive active rTMS in one visit first, then receive sham rTMS in another visit. active rTMS first, then sham rTMS: Active rTMS is delivered on the first visit, then sham rTMS is delivered on the second visit.
5
Sham rTMS First and Active rTMS Second
Participants in this arm will receive sham rTMS in one visit first, then receive active rTMS in another visit. sham rTMS first, then active rTMS: Sham rTMS is delivered on the first visit, then active rTMS is delivered on the second visit.
5
Total10

Baseline characteristics

CharacteristicActive rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
5 Participants5 Participants10 Participants
Age, Continuous38.8 years
STANDARD_DEVIATION 18.2
39.2 years
STANDARD_DEVIATION 16.2
39.0 years
STANDARD_DEVIATION 16.2
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
5 Participants5 Participants10 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
4 Participants3 Participants7 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
1 Participants2 Participants3 Participants
Region of Enrollment
United States
5 Participants5 Participants10 Participants
Sex: Female, Male
Female
3 Participants3 Participants6 Participants
Sex: Female, Male
Male
2 Participants2 Participants4 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 100 / 10
other
Total, other adverse events
0 / 100 / 10
serious
Total, serious adverse events
0 / 100 / 10

Outcome results

Primary

Change of Mismatch Negativity (MMN) From Electroencephalography (EEG) Signals by Active and Sham rTMS

TMS effect is explored by comparing MMN changes from active and sham rTMS. MMN is measured by subtracting the averaged EEG response to a set of standard stimuli from the averaged response to rarer deviant stimuli, and taking the amplitude of this difference wave in a given time window. The differences of MMN between active and sham were reported. A negative (positive) value of rsFC change suggests the MMN was enhanced (weakened) by active TMS.

Time frame: 2 weeks

ArmMeasureValue (MEAN)Dispersion
Active rTMSChange of Mismatch Negativity (MMN) From Electroencephalography (EEG) Signals by Active and Sham rTMS-0.106 microvoltsStandard Error 0.367
Sham rTMSChange of Mismatch Negativity (MMN) From Electroencephalography (EEG) Signals by Active and Sham rTMS0.044 microvoltsStandard Error 0.217
Primary

Change of Resting-state Functional Connectivity (rsFC) by Active and Sham rTMS

The strength of rsFC was first defined by correlation coefficient (r). Because the distribution of r values is highly skewed, z scores (normally distributed) were computed via fisher r-to-z transform. The z score central value (i.e., z score of 0) represents no relationship between the two brain regions. A positive (negative) z score indicates a positive (negative) association between the two brain regions. Stronger rsFC (i.e., larger positive z score) was related to stronger connection between the two brain regions. The differences of rsFC between active and sham were reported. A positive (negative) value of rsFC change suggests the rsFC was enhanced (weakened) by active TMS.

Time frame: 2 weeks

ArmMeasureValue (MEAN)Dispersion
Active rTMSChange of Resting-state Functional Connectivity (rsFC) by Active and Sham rTMS0.018 z score of functional connectivityStandard Error 0.018
Sham rTMSChange of Resting-state Functional Connectivity (rsFC) by Active and Sham rTMS0.007 z score of functional connectivityStandard Error 0.027

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