Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template
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MNI coordinates determined using SPM2 and FSL/ FLIRT with the ICBM‐152 template were compared to Talairach coordinates determined using a landmark‐based Talairach registration method (TAL). Analysis revealed a clear‐cut bias in reference frames (origin, orientation) and scaling (brain size). Accordingly, ICBM‐152 fitted brains were consistently larger, oriented more nose down, and translated slightly down relative to TAL fitted brains. Whole brain analysis of MNI/Talairach coordinate disparity revealed an ellipsoidal pattern with disparity ranging from zero at a point deep within the left hemisphere to greater than 1‐cm for some anterior brain areas. MNI/Talairach coordinate disparity was generally less for brains fitted using FSL. The mni2tal transform generally reduced MNI/Talairach coordinate disparity for inferior brain areas but increased disparity for anterior, posterior, and superior areas. Coordinate disparity patterns differed for brain templates (MNI‐305, ICBM‐152) using the same fitting method (FSL/ FLIRT ) and for different fitting methods (SPM2, FSL/ FLIRT ) using the same template (ICBM‐152). An MNI‐to‐Talairach (MTT) transform to correct for bias between MNI and Talairach coordinates was formulated using a best‐fit analysis in one hundred high‐resolution 3‐D MR brain images. MTT transforms optimized for SPM2 and FSL were shown to reduced group mean MNI/Talairach coordinate disparity from a 5‐13 mm to 1‐2 mm for both deep and superficial brain sites. MTT transforms provide a validated means to convert MNI coordinates to Talairach compatible coordinates for studies using either SPM2 or FSL/ FLIRT with the ICBM‐152 template. Hum Brain Mapp 2007. © 2007 Wiley‐Liss, Inc.
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Differences in coordinate spaces were accounted for by transforming Talairach coordinates into MNI coordinates using a linear transformation.
“Differences in coordinate spaces (MNI vs. Talairach space) were accounted for by transforming coordinates reported in Talairach space into MNI coordinates using a linear transformation (Lancaster et al., 2007).”
From Meditation-related activations are modulated by the practices needed to obtain it and by the expertise: an ALE meta-analysis study (2013) · cites this paper as Lancaster et al., 2007
The MTT Transforms section describes 4 × 4 affine transformations to account for differences between MNI and Talairach coordinates. Its fitted transformation goes from MNI to Talairach, however; the cited passages do not describe the claimed Talairach-to-MNI conversion. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe MNI/Talairach coordinate bias associated with reference frame and scale can be substantially reduced using the best-fit tal2icbm transform.
“As the MNI/Talairach coordinate bias associated with reference frame (position and orientation) and scale (brain size) can be substantially reduced using the best-fit tal2icbm transform (Lancaster et al. 2007), coordinates that were not reported in the MNI space were transformed using the Lancaster transformation.”
From Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis (2017) · cites this paper as Lancaster et al. 2007
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- Authors
- Lancaster, J. L., Tordesillas‐Gutiérrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., Mazziotta, J. C., & Fox, P. T.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Montreal Neurological Institute and Hospital (CA)
- University of California, Los Angeles (US)
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2007-01-31
- Volume
- 28
- Issue
- 11
- Pages
- 1194-1205
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871323
- OpenAlex
- W2134610285
- Cited by
- 1,464
- References
- 28
- Citations by year
- 2026: 55 · 2025: 78 · 2024: 66 · 2023: 89 · 2022: 91 · 2021: 84 · 2020: 76 · 2019: 86 · 2018: 71 · 2017: 99 · 2016: 89 · 2015: 85 · 2014: 94 · 2013: 87 · 2012: 91
- FWCI
- 59.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Funders
- National Institute of Mental Health (T32MH065728, 5 32 MH65728-03)
- National Institute on Drug Abuse (P20 MH/ DA52176)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- Talairach coordinates, coordinate transformation, landmark-based registration, brain size scaling
- MeSH terms
- Algorithms, Brain, Brain Mapping, Fourier Analysis, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Anatomic, Pattern Recognition, Automated, Reference Values, Software, Stereotaxic Techniques, Bias, Imaging, Three-Dimensional
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