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Not yet recruitingNCT07108673Updated Aug 7, 2025

Value of Voxel-Based Morphometry in Schizophrenia

An observational study in Schizophrenia, sponsored by Assiut University. Not yet recruiting. Open to participants aged 18 Years to 60 Years. Per ClinicalTrials.gov, last updated 2025-08-07.

Sponsored by Assiut University · Observational

Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
96
Ages
18 Years to 60 Years
Sex
All
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Study summary

This cross-sectional observational study investigates structural brain abnormalities in schizophrenia and nicotine use disorder (NUD), with a focus on understanding how these abnormalities correlate with behavioral traits such as decision-making and impulsivity. Schizophrenia is often associated with reduced gray matter (GM) in the prefrontal cortex and anterior cingulate cortex, while nicotine dependence is linked to changes in brain regions involved in reward processing. Nicotine use is particularly prevalent among individuals with schizophrenia, potentially compounding cognitive impairments.

Voxel-Based Morphometry (VBM), an advanced neuroimaging analysis technique, allows for the detection of subtle structural changes in the brain using MRI data. This study aims to utilize VBM to explore GM alterations in three participant groups:

Schizophrenic patients without nicotine dependence

Schizophrenic patients with nicotine dependence

Individuals with nicotine dependence but without schizophrenia

Each group will include 32 participants, making a total sample of 96, calculated using G*Power software assuming a medium effect size, alpha 0.05, and power 0.8. Inclusion criteria include confirmed diagnoses based on DSM-5 and the Fagerström Test for Nicotine Dependence, age 18-60, and MRI compatibility. Exclusion criteria involve other psychiatric or neurological disorders, substance use other than nicotine, and MRI contraindications.

Participants will undergo:

Structural MRI scans

Behavioral assessment using the Barratt Impulsiveness Scale

Clinical interviews using the Structured Clinical Interview for DSM-5

The primary outcome is to identify distinct patterns of GM reduction or alteration across groups, especially in regions involved in decision-making (e.g., prefrontal cortex, anterior cingulate cortex) and reward processing (e.g., ventral striatum). Secondary outcomes include correlating these structural findings with impulsivity and decision-making patterns.

Statistical analysis will be performed using SPSS v26. ANOVA will be used for quantitative comparisons across the three groups, while Chi-square or Fisher's exact tests will compare categorical variables. Pearson's correlation will be used to explore associations between brain changes and behavioral traits. A p-value \<0.05 will be considered significant.

Read the detailed description

Schizophrenia and nicotine use disorder are two conditions linked in part to distinct brain structural abnormalities that can significantly impact cognitive and behavioral functions, particularly in areas like decision-making and impulsivity. Schizophrenia (although it's exact cause is unknown) is often associated with reduced gray matter (GM) in regions such as the prefrontal cortex and anterior cingulate cortex, which are crucial for cognitive control and decision-making processes . Nicotine use disorder, on the other hand, has been linked to structural changes in brain areas involved in reward processing and impulsivity regulation. The overlap of these conditions is notable, as nicotine addiction is highly prevalent among schizophrenic patients, potentially exacerbating cognitive and behavioral dysfunctions .

Voxel-Based Morphometry (VBM) is a widely used neuroimaging technique that enables researchers to detect and quantify brain structural differences, particularly in GM, by analyzing MRI scans. VBM allows for the identification of subtle brain abnormalities that may contribute to the development of schizophrenia and nicotine dependence. These structural changes may provide insight into associated behavioral traits such as impaired decision-making and increased impulsivity, both of which are commonly observed in individuals with either or both conditions

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Conditions studied

  • Schizophrenia

Keywords

  • Voxel-Based Morphometry
  • Brain Structural Abnormalities
  • Schizophrenia
  • Nicotine use disorder
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In context

Schizophrenia

3,470 studies on the registry are indexed under Schizophrenia; 471 are open to participants now.

This study's planned enrollment of 96 is below the median of 178 across 491 observational studies indexed under Schizophrenia.

Browse Schizophrenia studies →

Lead sponsor

Assiut University is the lead sponsor of 4,901 studies on the registry; 2,098 are open to participants now.

Of its 13 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

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

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Who can participate

Ages eligible
18 Years to 60 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

The targeted study groups are:

Group 1: Schizophrenic patients without nicotine dependence. Group 2: Schizophrenic patients with nicotine dependence. Group 3: Nicotine use disorder individuals without schizophrenia.

Each group will be matched for age, gender, and educational background to minimize potential confounding variables.

Inclusion criteria

  • Diagnosed schizophrenia (for groups 1 and 2).
  • Nicotine dependence as defined by the Fagerström Test for Nicotine Dependence (for groups 2 and 3).
  • Age range: 18-60 years.
  • Schizophrenic patients must be stable on medications for at least 2 months.
  • Written informed consent (from the patient or his carer).

Exclusion criteria

Exclusion Criteria:

  • History of other neurological or other psychiatric disorders (besides schizophrenia or nicotine dependence).
  • Current substance use disorders other than nicotine.
  • Severe head trauma or other conditions likely to affect brain structure.
  • IQ below 70.
  • MRI contraindications such as metallic implants (e.g. pace maker), claustrophobia or anxiety disorders severe enough to prevent comfortable MRI scanning will also be exclusion criteria.
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Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
96 participants (estimated)
Patient registry
No

Groups and cohorts

  • Schizophrenic patients without nicotine dependence

    Diagnostic Test: MRI

  • Schizophrenic patients with nicotine dependence

    Diagnostic Test: MRI

  • Individuals with nicotine dependence but without schizophrenia

    Diagnostic Test: MRI

Interventions

  • Diagnostic testMRI

    structural MRI imaging and behavioral testing (e.g. Barratt Impulsiveness scale) both performed by skilled physicians.

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What researchers measure

Primary outcomes

  1. structural abnormalities by MRI

    we will catch any structural abnormalities like GM reductions in the prefrontal cortex and anterior cingulate cortex

    Time frame: at the enrollment

Secondary outcomes

  1. Behavioral testing

    Behavioral testing is expected to reveal that GM abnormalities correlate with impaired decision-making and increased impulsivity. By using Fagerstrom Test for Nicotine Dependence (FTND): Classifies participants' nicotine addiction levels. Structured Clinical Interview for DSM-5: Confirms diagnoses of schizophrenia and nicotine use disorder.

    Time frame: at the enrollment

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Study locations

No study locations are listed for this record.

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References and documents

Publications

  • Du X, Choa FS, Chiappelli J, Bruce H, Kvarta M, Summerfelt A, Ma Y, Regenold WT, Walton K, Wittenberg GF, Hare S, Gao S, van der Vaart A, Zhao Z, Chen S, Kochunov P, Hong LE. Combining neuroimaging and brain stimulation to test alternative causal pathways for nicotine addiction in schizophrenia. Brain Stimul. 2024 Mar-Apr;17(2):324-332. doi: 10.1016/j.brs.2024.02.020. Epub 2024 Mar 5. PubMed 38453003 ↗
  • Wilke M, Kaufmann C, Grabner A, Putz B, Wetter TC, Auer DP. Gray matter-changes and correlates of disease severity in schizophrenia: a statistical parametric mapping study. Neuroimage. 2001 May;13(5):814-24. doi: 10.1006/nimg.2001.0751. PubMed 11304078 ↗
  • Liu H, Guan L, Nie Y, Li Q, Xue J, Yang Y, Rong S, Liang J, Guan Y, Zhai F, Ren Y, An Z, Dong Z, Han Z. Brain Magnetic Resonance Imaging Features of Nicotine-Dependent Individuals and Its Correlation with Polymorphisms of Dopamine D Receptor Gene. Contrast Media Mol Imaging. 2022 Aug 24;2022:2296776. doi: 10.1155/2022/2296776. eCollection 2022. PubMed 36082055 ↗
  • Brown GG, Lee JS, Strigo IA, Caligiuri MP, Meloy MJ, Lohr J. Voxel-based morphometry of patients with schizophrenia or bipolar I disorder: a matched control study. Psychiatry Res. 2011 Nov 30;194(2):149-56. doi: 10.1016/j.pscychresns.2011.05.005. Epub 2011 Sep 15. PubMed 21924872 ↗
  • Segall JM, Turner JA, van Erp TG, White T, Bockholt HJ, Gollub RL, Ho BC, Magnotta V, Jung RE, McCarley RW, Schulz SC, Lauriello J, Clark VP, Voyvodic JT, Diaz MT, Calhoun VD. Voxel-based morphometric multisite collaborative study on schizophrenia. Schizophr Bull. 2009 Jan;35(1):82-95. doi: 10.1093/schbul/sbn150. Epub 2008 Nov 7. PubMed 18997157 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 7, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07108673
Lead sponsor
Assiut University
Responsible party
Hesham Mohammed Abdel-Moty (Prinicipal investigator, Assiut University) — Principal investigator
First posted
Aug 7, 2025
Start date
Aug 20, 2025 (estimated)
Primary completion
Aug 20, 2026 (estimated)
Completion
Dec 20, 2026 (estimated)
Last update
Aug 7, 2025

Oversight

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

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