CClinicalTrials.gg
CompletedNCT05660018Updated Jan 9, 2026Results posted

TMS Related Biomarker Assessments

An interventional study of active rTMS first, then sham rTMS and sham rTMS first, then active rTMS in Schizophrenia Schizoaffective and Schizophrenia, sponsored by University of Maryland, Baltimore. Completed at 1 site in United States. Open to participants aged 18 Years to 65 Years. Per ClinicalTrials.gov, last updated 2026-01-09.

Sponsored by University of Maryland, Baltimore · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
10
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
All
01

Study 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.

Read the 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.

02

Conditions studied

  • Schizophrenia Schizoaffective
  • Schizophrenia

Keywords

  • schizophrenia
  • Transcranial magnetic stimulation
03

In context

Psychotic Disorders

1,626 studies on the registry are indexed under Psychotic Disorders; 293 are open to participants now.

This study's enrollment of 10 is below the median of 70 across 1,333 interventional studies indexed under Psychotic Disorders.

Browse Psychotic Disorders studies →

Lead sponsor

University of Maryland, Baltimore is the lead sponsor of 687 studies on the registry; 130 are open to participants now.

Of its 90 completed or terminated interventional studies of FDA-regulated products, 63 (70%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts 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

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.
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Double (Participant, Outcomes assessor)
Enrollment
10 participants (actual)

Study arms

  • Other
    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.

    Device: active rTMS first, then sham rTMS

  • Other
    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.

    Device: sham rTMS first, then active rTMS

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.

06

What researchers measure

Primary outcomes

  1. 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

  2. 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

07

Results

Posted Jan 9, 2026

Participant flow

Participant flow — Overall Study
MilestoneActive rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS Second
Started55
Completed55
Not completed00

Outcome measures

PrimaryChange 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
Reported as:
Mean · z score of functional connectivity
Change of Resting-state Functional Connectivity (rsFC) by Active and Sham rTMS
z score of functional connectivityActive rTMSSham rTMS
Change of Resting-state Functional Connectivity (rsFC) by Active and Sham rTMS0.018 ± 0.0180.007 ± 0.027
PrimaryChange 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
Reported as:
Mean · microvolts
Change of Mismatch Negativity (MMN) From Electroencephalography (EEG) Signals by Active and Sham rTMS
microvoltsActive rTMSSham rTMS
Change of Mismatch Negativity (MMN) From Electroencephalography (EEG) Signals by Active and Sham rTMS-0.106 ± 0.3670.044 ± 0.217

Adverse events

Collected over From baseline to the time when the participant completes or quits the study (up to 1 month).. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Active rTMS0/10 (0%)0/10 (0%)0/10 (0%)
Sham rTMS0/10 (0%)0/10 (0%)0/10 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Active rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
<=18 years000
Between 18 and 65 years5510
>=65 years000
Age, Continuous
Age, Continuous(years)Active rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
Mean38.8 ± 18.239.2 ± 16.239.0 ± 16.2
Sex: Female, Male
Sex: Female, Male(Participants)Active rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
Female336
Male224
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Active rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
Hispanic or Latino000
Not Hispanic or Latino5510
Unknown or Not Reported000
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Active rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
American Indian or Alaska Native000
Asian000
Native Hawaiian or Other Pacific Islander000
Black or African American437
White123
More than one race000
Unknown or Not Reported000
Region of Enrollment
Region of Enrollment(Participants)Active rTMS First and Sham rTMS SecondSham rTMS First and Active rTMS SecondTotal
United States5510
08

Study locations

1 site
  • University of Maryland, Baltimore
    Baltimore, Maryland 21228, United States
09

References and documents

Study documents

  • Protocol and statistical analysis plan · Jan 18, 2023
  • Informed consent form · Jan 6, 2023

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 9, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT05660018
Lead sponsor
University of Maryland, Baltimore
Responsible party
Xiaoming Du (Assistant Professor, University of Maryland, Baltimore) — Principal investigator
First posted
Dec 21, 2022
Start date
Jan 7, 2023
Primary completion
Feb 14, 2025
Completion
Feb 14, 2025
Results posted
Jan 9, 2026
Last update
Jan 9, 2026

Study contacts

Xiaoming Du, PhD
principal investigator · University of Maryland, Baltimore

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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