Multimodal magnetic resonance imaging: The coordinated use of multiple, mutually informative probes to understand brain structure and function
Open accessAbstract
Differing imaging modalities provide unique channels of information to probe differing aspects of the brain's structural or functional organization. In combination, differing modalities provide complementary and mutually informative data about tissue organization that is more than their sum. We acquired and spatially coregistered data in four MRI modalities--anatomical MRI, functional MRI, diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (MRS)--from 20 healthy adults to understand how interindividual variability in measures from one modality account for variability in measures from other modalities at each voxel of the brain. We detected significant correlations of local volumes with the magnitude of functional activation, suggesting that underlying variation in local volumes contributes to individual variability in functional activation. We also detected significant inverse correlations of NAA (a putative measure of neuronal density and viability) with volumes of white matter in the frontal cortex, with DTI-based measures of tissue organization within the superior longitudinal fasciculus, and with the magnitude of functional activation and default-mode activity during simple visual and motor tasks, indicating that substantial variance in local volumes, white matter organization, and functional activation derives from an underlying variability in the number or density of neurons in those regions. Many of these imaging measures correlated with measures of intellectual ability within differing brain tissues and differing neural systems, demonstrating that the neural determinants of intellectual capacity involve numerous and disparate features of brain tissue organization, a conclusion that could be made with confidence only when imaging the same individuals with multiple MRI modalities.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Both brain structure and function may serve as susceptibility mechanisms.
“Thus, both brain structure and function, which may interrelate and whose development inform each other (Hao et al., 2013, Honey et al., 2010, Paus, 2013, Power et al., 2010, Zielinski et al., 2010), may both serve as susceptibility mechanisms.”
From Adolescent neurobiological susceptibility to social context (2016) · cites this paper as Hao et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798 · see citing works
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565 · see citing works
Endicott, J. (1978) · Archives of General Psychiatry · doi:10.1001/archpsyc.1978.01770310043002 · Cited by 5,686 · see citing works
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731 · see citing works
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547 · see citing works
Specification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127 · see citing works
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997 · see citing works
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792 · see citing works
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328 · see citing works
Self-citationWAIS-R manual : Wechsler adult intelligence scale-revised
Wechsler, D. (1981) · Medical Entomology and Zoology · Cited by 1,575 · see citing works
Normal development of brain circuits
Tau, G. Z., & Peterson, B. S. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.115 · Cited by 1,391 · see citing works
Self-citationMorphometric study of human cerebral cortex development
Huttenlocher, P. R. (1990) · Neuropsychologia · doi:10.1016/0028-3932(90)90031-i · Cited by 1,239 · see citing works
The neuroscience of human intelligence differences
Deary, I. J., Penke, L., & Johnson, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2793 · Cited by 1,038 · see citing works
Pagano, M., Gauvreau, K., & Mattie, H. (2022) · Chapman & Hall/CRC eBooks · doi:10.1201/9780429340512 · Cited by 928 · see citing works
BrainSuite: An automated cortical surface identification tool
Shattuck, D. W., & Leahy, R. M. (2002) · Medical Image Analysis · doi:10.1016/s1361-8415(02)00054-3 · Cited by 864 · see citing works
Multi-modality image registration by maximization of mutual information
Maes, F., Collignon, A. M. F., Vandermeulen, D., Marchal, G., & Suetens, P. (1996) · IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) · doi:10.1109/mmbia.1996.534053 · Cited by 809 · see citing works
Combining spatial extent and peak intensity to test for activations in functional imaging
Poline, J.-B., Worsley, K. J., Evans, A. C., & Friston, K. J. (1997) · NeuroImage · doi:10.1006/nimg.1996.0248 · Cited by 670 · see citing works
Remembering the past: two facets of episodic memory explored with positron emission tomography
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.11.1576 · Cited by 593 · see citing works
Interrupting the “stream of consciousness”: An fMRI investigation
McKiernan, K. A., D'Angelo, B. R., Kaufman, J. N., & Binder, J. R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.030 · Cited by 443 · see citing works
Olesen, P. J., Nagy, Z., Westerberg, H., & Klingberg, T. (2003) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2003.09.003 · Cited by 397 · cited 2× · see citing works
“, 2007] or to examine correlations across modalities but within only one or several regions of interest [Barkovich et al., 2006; Nitkunan et al., 2008; Olesen et al., 2003; Toosy et al., 2004].”
BackgroundN-Acetylaspartate in the Vertebrate Brain: Metabolism and Function
Baslow, M. H. (2003) · Neurochemical Research · doi:10.1023/a:1023250721185 · Cited by 393 · see citing works
Schmithorst, V. J., Wilke, M., Dardzinski, B. J., & Holland, S. K. (2005) · Human Brain Mapping · doi:10.1002/hbm.20149 · Cited by 382 · see citing works
Lebon, V., Petersen, K. F., Cline, G. W., Shen, J., Mason, G. F., Dufour, S., Behar, K. L., Shulman, G. I., & Rothman, D. L. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-05-01523.2002 · Cited by 371 · see citing works
Smith, A. T., Greenlee, M. W., Singh, K. D., Kraemer, F. M., & Hennig, J. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03816.1998 · Cited by 370 · see citing works
Ziegel, E. R., Pagano, M. F., & Gauvreau, K. (1994) · Technometrics · doi:10.2307/1269984 · Cited by 359 · see citing works
3D brain mapping using a deformable neuroanatomy
Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (1994) · Physics in Medicine and Biology · doi:10.1088/0031-9155/39/3/022 · Cited by 358 · see citing works
Multisection proton MR spectroscopic imaging of the brain.
Duyn, J. H., GILLEN, J. S., Sobering, G., van Zijl, P. C. M., & MOONEN, C. T. W. (1993) · Radiology · doi:10.1148/radiology.188.1.8511313 · Cited by 353 · see citing works
Correction for distortion of echo‐planar images used to calculate the apparent diffusion coefficient
Haselgrove, J. C., & Moore, J. R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360620 · Cited by 325 · see citing works
Barkovich, A. J., Miller, S. P., Bartha, A. I., Newton, N. R., Hamrick, S. E. G., Mukherjee, P., Glenn, O. A., Xu, D., Partridge, J. C., Ferriero, D. M., et al. (2006) · PubMed Central · Cited by 325 · see citing works
Self-citationTechnical aspects and utility of fMRI using BOLD and ASL
Detre, J. A., & Wang, J. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00038-x · Cited by 291 · see citing works
Emotion-induced changes in human medial prefrontal cortex: I. During cognitive task performance
Simpson, J. R., Snyder, A. Z., Gusnard, D. A., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.683 · Cited by 278 · see citing works
A developmental fMRI study of self‐regulatory control
Marsh, R., Zhu, H., Schultz, R. T., Quackenbush, G., Royal, J., Skudlarski, P., & Peterson, B. S. (2006) · Human Brain Mapping · doi:10.1002/hbm.20225 · Cited by 249 · see citing works
Self-citationWhite matter integrity and cognition in childhood and old age
Deary, I. J., Bastin, M. E., Pattie, A., Clayden, J. D., Whalley, L. J., Starr, J. M., & Wardlaw, J. M. (2006) · Neurology · doi:10.1212/01.wnl.0000199954.81900.e2 · Cited by 207 · see citing works
Toosy, A., Ciccarelli, O., Parker, G. J. M., Wheeler‐Kingshott, C. A. M. G., Miller, D. H., & Thompson, A. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.022 · Cited by 169 · see citing works
Nitkunan, A., Barrick, T. R., Charlton, R. A., Clark, C. A., & Markus, H. S. (2008) · Stroke · doi:10.1161/strokeaha.107.507475 · Cited by 153 · see citing works
Spatial normalization of diffusion tensor fields
Xu, D., Mori, S., Shen, D. G., van Zijl, P. C. M., & Davatzikos, C. A. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10489 · Cited by 144 · see citing works
Self-citationEichler, F., Itoh, R., Barker, P. B., Mori, S., Garrett, E. S., van Zijl, P. C. M., Moser, H. W., Raymond, G. V., & Melhem, E. R. (2002) · Radiology · doi:10.1148/radiol.2251011040 · Cited by 129 · see citing works
Quantitation of automated single‐voxel proton MRS using cerebral water as an internal reference
Soher, B. J., Hurd, R. E., Sailasuta, N., et al. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360302 · Cited by 128 · see citing works
Floyd, T. F., Ratcliffe, S. J., Wang, J., Resch, B., & Detre, J. A. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10416 · Cited by 126 · see citing works
Kroenke, C. D., Essen, D. C. V., Inder, T. E., Rees, S. M., Bretthorst, G. L., & Neil, J. J. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3063-07.2007 · Cited by 102 · see citing works
In vivo differentiation of N‐acetyl aspartyl glutamate from N‐acetyl aspartate at 3 Tesla
Edden, R. A. E., Pomper, M. G., & Barker, P. B. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21234 · Cited by 98 · see citing works
Reliable identification of the auditory thalamus using multi-modal structural analyses
Devlin, J. T., Sillery, E., Hall, D. A., Hobden, P., Behrens, T. E. J., Nunes, R. G., Clare, S., Matthews, P. M., Moore, D. R., & Johansen‐Berg, H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.025 · Cited by 95 · see citing works
Classification of human liposarcoma and lipoma using ex vivo proton NMR spectroscopy
Millis, K. K., Weybright, P., Campbell, N., Fletcher, J. A., Fletcher, C. D. �., Cory, D. G., & Singer, S. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199902)41:2 · Cited by 92 · see citing works
Multimodal MRI segmentation of ischemic stroke lesions
Kabir, Y., Dojat, M., Scherrer, B., et al. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352610 · Cited by 89 · see citing works
Werring, D. J., Clark, C., Parker, G. J. M., Miller, D. H., Thompson, A. J., & Barker, G. J. (1999) · NeuroImage · doi:10.1006/nimg.1999.0421 · Cited by 86 · see citing works
Krakow, K., Wieshmann, U., Woermann, F. G., et al. (1999) · Epilepsia · doi:10.1111/j.1528-1157.1999.tb02021.x · Cited by 56 · see citing works
Composite voxel-based analysis of volume and T2 relaxometry in temporal lobe epilepsy
Pell, G. S., Briellmann, R. S., Pardoe, H., Abbott, D. F., & Jackson, G. D. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.061 · Cited by 52 · see citing works
Hayasaka, S., Du, A., Duarte, A., Kornak, J., Jahng, G., Weiner, M. W., & Schuff, N. W. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.10.052 · Cited by 49 · see citing works
ROC-based assessments of 3D cortical surface-matching algorithms
Bansal, R., Staib, L. H., Whiteman, R. C., Wang, Y. M., & Peterson, B. S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.054 · Cited by 46 · see citing works
Self-citationN‐acetylaspartate: Usefulness as an indicator of viable neuronal tissue
Arnold, D. L., Stefano, N. D., Matthews, P. M., et al. (2001) · Annals of Neurology · doi:10.1002/ana.10013 · Cited by 39 · see citing works
N-acetylaspartate : a unique neuronal molecule in the central nervous system
Moffett, J. R. (2006) · DIAL (Catholic University of Leuven) · doi:10.1007/0-387-30172-0 · Cited by 36 · see citing works
(2009) · Neuromethods · doi:10.1007/978-1-60327-919-2 · Cited by 36 · see citing works
Correlation of proton MR spectroscopy and diffusion tensor imaging
Irwan, R., Sijens, P. E., Potze, J.-H., et al. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.06.005 · Cited by 26 · see citing works
Integration of fMRI, NIROT and ERP for studies of human brain function
Gore, J. C., Horovitz, S. G., Cannistraci, C. J., & Skudlarski, P. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.12.039 · Cited by 19 · see citing works
Seo, Y., Shinar, H., Morita, Y., & Navon, G. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199909)42:3 · Cited by 19 · see citing works
Unifying the analyses of anatomical and diffusion tensor images using volume‐preserved warping
Xu, D., Hao, X., Bansal, R., Plessen, K. J., Geng, W., Hugdahl, K., & Peterson, B. S. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20858 · Cited by 16 · see citing works
Self-citationSeamless Warping of Diffusion Tensor Fields
Xu, D., Hao, X., Bansal, R., Plessen, K. J., & Peterson, B. S. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.901428 · Cited by 16 · see citing works
Self-citationComplementary aspects of diffusion imaging and fMRI; I: structure and function
Mulkern, R. V., Davis, P. E., Haker, S. J., Estépar, R. S. J., Panych, L. P., Maier, S. E., & Rivkin, M. J. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2006.01.007 · Cited by 12 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Filippi M 2009 MRI Techniques and Protocols (Neuromethods) Hamana Press
Cited by
Sorted by citations
Adolescent neurobiological susceptibility to social context
Schriber, R. A., & Guyer, A. E. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.009 · Cited by 246 · see citing works
Sui, J., Huster, R., Yu, Q., Segall, J. M., & Calhoun, V. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.044 · Cited by 162 · see citing works
Duncan, N. W., Wiebking, C., Tiret, B., Marjańska, M., Hayes, D. J., Lyttleton, O., Doyon, J., & Northoff, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060312 · Cited by 95 · see citing works
- Authors
- Hao, X., Xu, D., Bansal, R., Dong, Z., Liu, J., Wang, Z., Kangarlu, A., Liu, F., Duan, Y., Shova, S., Gerber, A. J., & Peterson, B. S.
- Affiliations
- New York State Psychiatric Institute (US)
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2011-11-11
- Volume
- 34
- Issue
- 2
- Pages
- 253-271
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC4284056
- OpenAlex
- W1974103289
- Cited by
- 63
- References
- 59
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 1 · 2023: 7 · 2022: 8 · 2021: 2 · 2020: 6 · 2019: 5 · 2018: 3 · 2017: 3 · 2016: 6 · 2015: 3 · 2014: 6 · 2013: 6 · 2012: 2
- FWCI
- 3.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5k02mh074677-05)
- U.S. Public Health Service (K-02-74677)
- National Institute of Mental Health (MH 36197, R01MH036197, R01MH068318, MH 068318, R01MH089582, MH089582, P50MH090966, K02-MH-074677)
- National Institute on Drug Abuse (R01DA027100, DA027100)
- National Institute of Environmental Health Sciences (ES015579, R01ES015579)
- National Institute of Biomedical Imaging and Bioengineering (R03EB008235)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- multimodal MRI, interindividual variability, brain structure-function relationship, diffusion tensor imaging, magnetic resonance spectroscopy, N-acetylaspartate, white matter organization, superior longitudinal fasciculus, intellectual ability, frontal cortex, neuronal density
- MeSH terms
- Acoustic Stimulation, Adult, Algorithms, Attention, Brain, Brain Chemistry, Cognition, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Intelligence Tests, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Magnetic Resonance Spectroscopy, Psychomotor Performance, Young Adult, Diffusion Tensor Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review