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A positive-negative mode of population covariation links brain connectivity, demographics and behavior
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We investigated the relationship between individual subjects' functional connectomes and 280 behavioral and demographic measures in a single holistic multivariate analysis relating imaging to non-imaging data from 461 subjects in the Human Connectome Project. We identified one strong mode of population co-variation: subjects were predominantly spread along a single 'positive-negative' axis linking lifestyle, demographic and psychometric measures to each other and to a specific pattern of brain connectivity.
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“Along those lines, a 'positive-negative' axis of brain-behavior covariation describes a similar connectivity spectrum, distinguishing the DMN from sensory/motor regions [63].”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [63]
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“Precedent exists for using PCA to extract network-level patterns from high-dimensional neural data, including fMRI (Smith et al., 2015), EEG (Blankertz et al., 2011), and even LLM embeddings (Ethayarajh, 2019).”
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Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314
Self-citationThe human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
"General Intelligence," Objectively Determined and Measured
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
RELATIONS BETWEEN TWO SETS OF VARIATES
Hotelling, H. (1936) · Biometrika · doi:10.1093/biomet/28.3-4.321 · Cited by 6,041
The WU-Minn Human Connectome Project: An overview
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651
Self-citationThe minimal preprocessing pipelines for the Human Connectome Project
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253
Self-citationBinder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707
Self-citationCan cognitive processes be inferred from neuroimaging data?
POLDRACK, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.12.004 · Cited by 2,249
The neural correlates of subjective value during intertemporal choice
Kable, J. W., & Glimcher, P. W. (2007) · Nature Neuroscience · doi:10.1038/nn2007 · Cited by 1,916
Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.046 · Cited by 1,770
Self-citationDistinct patterns of brain activity in young carriers of the APOE -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613
Self-citationResting-state fMRI in the human connectome project
Smith, S. M., Beckmann, C. F., Andersson, J., Auerbach, E. J., Bijsterbosch, J., Douaud, G., Duff, E., Feinberg, D. A., Griffanti, L., Harms, M. P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.039 · Cited by 1,502
Self-citationThe future of memory: remembering, imagining, and the brain
Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012) · Neuron · doi:10.1016/j.neuron.2012.11.001 · Cited by 1,398
Griffanti, L., Salimi‐Khorshidi, G., Beckmann, C. F., Auerbach, E. J., Douaud, G., Sexton, C. E., Zsoldos, E., Ebmeier, K. P., Filippini, N., Mackay, C. E., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.034 · Cited by 1,273
Self-citationEvidence for grid cells in a human memory network
Doeller, C. F., Barry, C., & Burgess, N. (2010) · Nature · doi:10.1038/nature08704 · Cited by 828
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812
Self-citationUnderstanding Other Minds: Linking Developmental Psychology and Functional Neuroimaging
Saxe, R., Carey, S., & Kanwisher, N. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142044 · Cited by 726
Informatic parcellation of the network involved in the computation of subjective value
Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613
Partial correlation for functional brain interactivity investigation in functional MRI
Marrelec, G., Krainik, A., Duffau, H., Pélégrini-Issac, M., Lehéricy, S., Doyon, J., & Benali, H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.057 · Cited by 488
Human Connectome Project informatics: Quality control, database services, and data visualization
Marcus, D. S., Harms, M. P., Snyder, A. Z., Jenkinson, M., Wilson, J. A., Glasser, M. F., Barch, D. M., Archie, K. A., Burgess, G. C., Ramaratnam, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.077 · Cited by 465
Self-citationGroup-PCA for very large fMRI datasets
Smith, S. M., Hyvärinen, A., Varoquaux, G. P., Miller, K. L., & Beckmann, C. F. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.051 · Cited by 231
Self-citationFluid intelligence loss linked to restricted regions of damage within frontal and parietal cortex
Woolgar, A., Parr, A., Cusack, R., Thompson, R., Nimmo‐Smith, I., Torralva, T., Roca, M., Antoun, N. M., Manes, F. F., & Duncan, J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007928107 · Cited by 220
A HIERARCHY WITHOUT A GENERAL FACTOR 1
Thomson, G. H. (1916) · British Journal of Psychology 1904-1920 · doi:10.1111/j.2044-8295.1916.tb00133.x · Cited by 150
Large-scale Probabilistic Functional Modes from resting state fMRI
Harrison, S. J., Woolrich, M. W., Robinson, E. C., Glasser, M. F., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.013 · Cited by 100
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Research works printed but not linked: 3
- Winkler, A. et al. Neuroimage published online, 10.1016/j.neuroimage.2015.05.092 (11 June 2015). · DOI
- Thomson, G.H. Br. J. Psychol. 8, 271–281 (1916).
- Van der Waerden, B.L. Proc. K. Ned. Akad. Wet. A. 55, 453–458 (1952).
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Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657
Situating the default-mode network along a principal gradient of macroscale cortical organization
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608282113 · Cited by 2,321
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., Bartsch, A. J., Jbabdi, S., Sotiropoulos, S. N., Andersson, J. L. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4393 · Cited by 2,020
Reproducible brain-wide association studies require thousands of individuals
Marek, S. A., Tervo‐Clemmens, B., Calabro, F. J., Montez, D. F., Kay, B. P., Hatoum, A. S., Donohue, M. R., Foran, W., Miller, R. L., Hendrickson, T. J., et al. (2022) · Nature · doi:10.1038/s41586-022-04492-9 · Cited by 2,275
Self-citationThe Human Connectome Project's neuroimaging approach
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4361 · Cited by 1,090
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Metadata
- Authors
- Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L.
- Affiliations
- University of Oxford (GB)
- University of Warwick (GB)
- Washington University in St. Louis (US)
- Corresponding author
- Smith, Stephen M
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2015-09-28
- Volume
- 18
- Issue
- 11
- Pages
- 1565-1567
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4625579
- OpenAlex
- W1828334443
- Cited by
- 859
- References
- 27
- Citations by year
- 2026: 44 · 2025: 70 · 2024: 73 · 2023: 58 · 2022: 73 · 2021: 100 · 2020: 162 · 2019: 82 · 2018: 81 · 2017: 70 · 2016: 41 · 2015: 5
- FWCI
- 39.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
- Open Repository and Bibliography (University of Liège) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (104765/Z/14/Z, 098369/Z/12/Z, 098369, 104765, 100309/A/12/Z, 091509/Z/10/Z, 100309)
- National Institutes of Health (5u54mh091657-05)
- Engineering and Physical Sciences Research Council (EP/J005444/1)
- National Institute of Mental Health (1U54 MH091657, U54-MH091657, F30MH097312)
- National Institute of Neurological Disorders and Stroke (P30NS057091)
- National Institute of Biomedical Imaging and Bioengineering (EB015894, P41EB015894)
- National Center for Research Resources (P41RR008079, P41RR08079)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- brain functional connectivity, lifestyle, psychometric measures, behavioral measures, Human Connectome Project
- MeSH terms
- Adult, Behavior, Brain, Demography, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Cluster Analysis, Young Adult, Connectome
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