An MRI-based approach for the measurement of the dorsolateral prefrontal cortex in humans
Open accessAbstract
The dorsolateral prefrontal cortex (DLPFC) has been implicated in the pathophysiology of mental disorders. Previous region-of-interest MRI studies that attempted to delineate this region adopted various landmarks and measurement techniques, with inconsistent results. We developed a new region-of-interest measurement method to obtain morphometric data of this region from structural MRI scans, taking into account knowledge from cytoarchitectonic postmortem studies and the large inter-individual variability of this region. MRI scans of 10 subjects were obtained, and DLPFC tracing was performed in the coronal plane by two independent raters using the semi-automated software Brains2. The intra-class correlation coefficients between two independent raters were 0.94 for the left DLPFC and 0.93 for the right DLPFC. The mean +/- S.D. DLPFC volumes were 9.23 +/- 2.35 ml for the left hemisphere and 8.20 +/- 2.08 ml for the right hemisphere. Our proposed method has high inter-rater reliability and is easy to implement, permitting the standardized measurement of this region for clinical research applications
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The key methodological factors contributing to heterogeneity in DLPFC findings are the variability in delineating this region across previous studies employing a region of interest approach and the large inter-individual variability for this region.
“The key methodological factors contributing to this are the variability in delineating this region across previous studies employing a region of interest approach and the large inter-individual variability for this region (Sanches et al., 2009).”
From Widespread reductions in gray matter volume in depression (2013) · cites this paper as Sanches et al., 2009
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- Authors
- Sanches, M., Caetano, S., Nicoletti, M., Monkul, E. S., Chen, H. H., Hatch, J. P., Yeh, P.-H., Mullis, R. L., Keshavan, M. S., Rajowska, G., & Soares, J. C.
- Affiliations
- Universidade Federal de São Paulo (BR)
- Universidade de São Paulo (BR)
- University of North Carolina at Chapel Hill (US)
- The University of Texas at San Antonio Health Science Center (US)
- Wayne State University (US)
- University of Mississippi Medical Center (US)
- Corresponding author
- Soares, Jair C.
- Venue
- Psychiatry Research Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 173
- Issue
- 2
- Pages
- 150-154
- ISSN
- 0925-4927 (ISSN-L)
- PMC
- PMC2778758
- OpenAlex
- W2164592961
- Cited by
- 23
- References
- 28
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 2 · 2014: 1 · 2013: 3 · 2012: 2
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UNIFESP Institutional Repository (Universidade Federal de São Paulo) (submittedVersion)
- Funders
- National Institutes of Health (5p20rr017701-10)
- National Institute of Mental Health (R01MH069774, MH 61578, MH60451, R01MH068766, MH 68766, MH-69774, R01MH061578, P50MH060451)
- National Center for Research Resources (K24RR020571, P20-RR-017701, RR 17701)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- dorsolateral prefrontal cortex, region of interest measurement, brain morphometry, inter-rater reliability, cytoarchitecture, interindividual variability, brain volumetry
- MeSH terms
- Adult, Female, Humans, Magnetic Resonance Imaging, Male, Reproducibility of Results, Observer Variation, Prefrontal Cortex
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