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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Lewy body dementia

Topic: Brain proteins, microglia and lab models

We present a multivariate alternative to the voxel-based morphometry (VBM) approach called source-based morphometry (SBM), to study gray matter differences between patients and healthy controls. The SBM approach begins with the same preprocessing procedures as VBM. Next, independent component analysis is used to identify naturally grouping, maximally independent sources. Finally, statistical analyses are used to determine the significant sources and their relationship to other variables. The identified "source networks," groups of spatially distinct regions with common covariation among subjects, provide information about localization of gray matter changes and their variation among individuals. In this study, we first compared VBM and SBM via a simulation and then applied both methods to real data obtained from 120 chronic schizophrenia patients and 120 healthy controls. SBM identified five gray matter sources as significantly associated with schizophrenia. These included sources in the bilateral temporal lobes, thalamus, basal ganglia, parietal lobe, and frontotemporal regions. None of these showed an effect of sex. Two sources in the bilateral temporal and parietal lobes showed age-related reductions. The most significant source of schizophrenia-related gray matter changes identified by SBM occurred in the bilateral temporal lobe, while the most significant change found by VBM occurred in the thalamus. The SBM approach found changes not identified by VBM in basal ganglia, parietal, and occipital lobe. These findings show that SBM is a multivariate alternative to VBM, with wide applicability to studying changes in brain structure.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Xu, L., Groth, K. M., Pearlson, G., Schretlen, D. J., & Calhoun, V. D. (2009). Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia. Human brain mapping. https://doi.org/10.1002/hbm.20540

Vancouver

Xu L, Groth KM, Pearlson G, Schretlen DJ, Calhoun VD. Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia. Human brain mapping. 2009. doi:10.1002/hbm.20540. PMID: 18266214.

BibTeX

@article{xu2009-18266214,
  author  = {Xu, L. and Groth, K. M. and Pearlson, G. and Schretlen, D. J. and Calhoun, V. D.},
  title   = {{Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia}},
  journal = {Human brain mapping},
  year    = {2009},
  doi     = {10.1002/hbm.20540},
  pmid    = {18266214},
  url     = {https://doi.org/10.1002/hbm.20540}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

Key findings

Why it matters

This study presents a brain imaging analysis method and applies it to schizophrenia patients, identifying gray matter differences. It does not study Alzheimer's disease or test any treatment or prevention, so it has no direct implications for treating, curing, or preventing the disease.

Study details

How this study scored 49/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 6 of 7; Citations per year 4 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 3 of 4; Senior author's track record 4 of 4; Institution's track record 2 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 49 of 100.49 of 100 points earned51 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Human brain mapping)
Journal's citation record 3 / 4 Human Brain Mapping: journal h-index 271 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2009 — within 20 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 6 / 7 Cited 385 times (OpenAlex, 2026-10-10)
Citations per year 4 / 5 20.3 citations a year over 19 year(s) since 2009
Impact for its field and year 3 / 6 Cited 4.8× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 4 other studies in this library
Still being cited 3 / 4 Cited 81 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Vince D. Calhoun: h-index 152 (OpenAlex, whole career)
Institution's track record 2 / 3 Johns Hopkins University: institution h-index 2,306 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 18266214)
Free to read 0 / 2 Behind a paywall — scores zero
Total 49 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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Studies this one cites

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