The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Predicting individual brain maturity using dynamic functional connectivity
Open accessAbstract
Neuroimaging-based functional connectivity (FC) analyses have revealed significant developmental trends in specific intrinsic connectivity networks linked to cognitive and behavioral maturation. However, knowledge of how brain functional maturation is associated with FC dynamics at rest is limited. Here, we examined age-related differences in the temporal variability of FC dynamics with data publicly released by the Nathan Kline Institute (NKI; n = 183, ages 7-30) and showed that dynamic inter-region interactions can be used to accurately predict individual brain maturity across development. Furthermore, we identified a significant age-dependent trend underlying dynamic inter-network FC, including increasing variability of the connections between the visual network, default mode network (DMN) and cerebellum as well as within the cerebellum and DMN and decreasing variability within the cerebellum and between the cerebellum and DMN as well as the cingulo-opercular network. Overall, the results suggested significant developmental changes in dynamic inter-network interaction, which may shed new light on the functional organization of typical developmental brains.
Overview
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
Verification
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?
In the citing paper
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Qin et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344
Prediction of individual brain maturity using fMRI
Dosenbach, N. U. F., Nardos, B., Cohen, A. L., Fair, D. A., Power, J. D., Church, J. A., Nelson, S. M., Wig, G. S., Vogel, A. C., Lessov-Schlaggar, C. N., et al. (2010) · Science · doi:10.1126/science.1194144 · Cited by 2,183
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173
Decoding subject-driven cognitive states with whole-brain connectivity patterns
Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr099 · Cited by 1,843
Time–frequency dynamics of resting-state brain connectivity measured with fMRI
Chang, C., & Glover, G. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.011 · Cited by 1,808
Neurodevelopmental Trajectories of the Human Cerebral Cortex
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644
Functional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530
Resting-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
The maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314
Development of distinct control networks through segregation and integration
Fair, D. A., Dosenbach, N. U. F., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705843104 · Cited by 1,244
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125
Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., McEwen, S. C., Mathalon, D. H., Mueller, B. A., Pearlson, G. D., Potkin, S. G., Preda, A., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.07.003 · Cited by 1,088
Functional brain development in humans
Johnson, M. H. (2001) · Nature Reviews Neuroscience · doi:10.1038/35081509 · Cited by 980
On spurious and real fluctuations of dynamic functional connectivity during rest
Leonardi, N., & Van De Ville, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.007 · Cited by 828
The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry
Nooner, K. B., Colcombe, S. J., Tobe, R. H., Mennes, M., Benedict, M. M., Moreno, A. L., Panek, L. J., Brown, S., Zavitz, S., Li, Q., et al. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00152 · Cited by 820
Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807
Development of large-scale functional brain networks in children
Supekar, K., Musen, M., & Menon, V. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000157 · Cited by 807
A Brain-Wide Study of Age-Related Changes in Functional Connectivity
Geerligs, L., Renken, R. J., Saliasi, E., Maurits, N. M., & Lorist, M. M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu012 · Cited by 788
Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765
Time-resolved resting-state brain networks
Zalesky, A., Fornito, A., Cocchi, L., Gollo, L. L., & Breakspear, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400181111 · Cited by 753
Hallquist, M. N., Hwang, K., & Luna, B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.116 · Cited by 753
Zeng, L.-L., Shen, H., Liu, L., Wang, L., Li, B., Fang, P., Zhou, Z., Li, Y., & Hu, D. (2012) · Brain · doi:10.1093/brain/aws059 · Cited by 748
Self-citationHutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 732
Liu, X., & Duyn, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216856110 · Cited by 663
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
Yong He, A., Wang, J., Wang, L. Y., Chen, Z. J., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005226 · Cited by 635
Sakoğlu, Ü., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0197-8 · Cited by 623
Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI
Yang, H., Long, X., Yang, Y., Yan, H., Zhu, C.-Z., Zhou, X.-P., Zang, Y., & Gong, Q. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.054 · Cited by 613
Development of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn117 · Cited by 572
Supekar, K., Uddin, L. Q., Prater, K. E., Amin, H., Greicius, M. D., & Menon, V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.009 · Cited by 547
The functional architecture of the infant brain as revealed by resting-state fMRI
Fransson, P., Åden, U., Blennow, M., & Lagercrantz, H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq071 · Cited by 542
Uddin, L. Q., Supekar, K. S., Ryali, S., & Menon, V. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4465-11.2011 · Cited by 520
Age-related alterations in default mode network: Impact on working memory performance
Sambataro, F., Murty, V. P., Callicott, J. H., Tan, H.-Y., Das, S., Weinberger, D. R., & Mattay, V. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.05.022 · Cited by 517
Sadaghiani, S., Scheeringa, R., Lehongre, K., Morillon, B., Giraud, A.-L., & Kleinschmidt, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1004-10.2010 · Cited by 504
LUNA, B., & SWEENEY, J. A. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.035 · Cited by 467 · cited 2×
“Both of the groups have a high prediction accuracy (for the first group, MAE = 4.7 years, SE = 0.3 years, and for the second group, MAE = 4.8 years, SE = 0.4 years).”
BackgroundInfluentialHan, Y., Wang, J., Zhao, Z., Min, B., Lu, J., Li, K., Yong He, A., & Jia, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.059 · Cited by 444
Non-Stationarity in the “Resting Brain’s” Modular Architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039731 · Cited by 435
Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development
McIntosh, A. R., Kovacevic, N., & Itier, R. J. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000106 · Cited by 431
Mind wandering away from pain dynamically engages antinociceptive and default mode brain networks
Kucyi, A., Salomons, T. V., & Davis, K. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312902110 · Cited by 427
Rubia, K., Smith, A. B., Taylor, E., & Brammer, M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20347 · Cited by 417
Blood Oxygen Level-Dependent Signal Variability Is More than Just Noise
Garrett, D. D., Kovacevic, N., McIntosh, A. R., & Grady, C. L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5166-09.2010 · Cited by 396
Neurodevelopmental changes in working memory and cognitive control
Bunge, S. A., & Wright, S. B. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.005 · Cited by 381
Dynamic functional connectivity of the default mode network tracks daydreaming
Kucyi, A., & Davis, K. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.044 · Cited by 377
Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder
Fair, D. A., Posner, J., Nagel, B. J., Bathula, D., Dias, T. G. C., Mills, K. L., Blythe, M. S., Giwa, A., Schmitt, C. F., & Nigg, J. T. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.003 · Cited by 354
Shen, H., Wang, L., Liu, Y., & Hu, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.011 · Cited by 352
Self-citationGrady, C. L., Protzner, A. B., Kovacevic, N., Strother, S. C., Afshin‐Pour, B., Wojtowicz, M., Anderson, J. A. E., Churchill, N. W., & McIntosh, A. R. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp207 · Cited by 352
Glerean, E., Salmi, J., Lahnakoski, J. M., Jääskeläinen, I. P., & Sams, M. (2012) · Brain Connectivity · doi:10.1089/brain.2011.0068 · Cited by 325
Neurobiological basis of head motion in brain imaging
Zeng, L., Wang, D., Fox, M., Sabuncu, M. R., Hu, D., Ge, M., Buckner, R. L., & Liu, H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317424111 · Cited by 281
Self-citationChanges in the interaction of resting-state neural networks from adolescence to adulthood
Stevens, M. C., Pearlson, G. D., & Calhoun, V. D. (2009) · Human Brain Mapping · doi:10.1002/hbm.20673 · Cited by 256
Frequency‐specific alternations in the amplitude of low‐frequency fluctuations in schizophrenia
Yu, R., Chien, Y., Wang, H. S., Liu, C., Liu, C., Hwang, T., Hsieh, M. H., Hwu, H., & Tseng, W. I. (2012) · Human Brain Mapping · doi:10.1002/hbm.22203 · Cited by 231
Tracking the Brain's Functional Coupling Dynamics over Development
Hutchison, R. M., & Morton, J. B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4638-14.2015 · Cited by 222
Spatiotemporal Dependency of Age-Related Changes in Brain Signal Variability
McIntosh, A. R., Vakorin, V. A., Kovacevic, N., Wang, H., Diaconescu, A. O., & Protzner, A. B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht030 · Cited by 214
Cingulate Activation Increases Dynamically with Response Speed under Stimulus Unpredictability
Hahn, B., Ross, T. J., & Stein, E. A. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl075 · Cited by 213
Meier, T. B., Desphande, A. S., Vergun, S., Nair, V. A., Song, J., Biswal, B. B., Meyerand, M. E., Birn, R. M., & Prabhakaran, V. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.052 · Cited by 187
Challis, E., Hurley, P. D., Serra, L., Bozzali, M., Oliver, S., & Cercignani, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.037 · Cited by 186
Vakorin, V. A., Lippé, S., & McIntosh, A. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3153-10.2011 · Cited by 184
Network structure shapes spontaneous functional connectivity dynamics
Shen, K., Hutchison, R. M., Bezgin, G., Everling, S., & McIntosh, A. R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4903-14.2015 · Cited by 171
Quantifying Head Motion Associated with Motor Tasks Used in fMRI
Seto, E., Gal Sela, D., McIlroy, W. E., Black, S. E., Staines, R. W., Bronskill, M. J., McIntosh, A. R., & Graham, S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0829 · Cited by 170
Networks of task co-activations
Laird, A. R., Eickhoff, S. B., Rottschy, C., Bzdok, D., Ray, K. L., & Fox, P. T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.073 · Cited by 168
Brain Noise Is Task Dependent and Region Specific
Mišić, B., Mills, T., Taylor, M. J., & McIntosh, A. R. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00648.2010 · Cited by 157
Dynamic functional connectivity
Ioannides, A. A. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.03.008 · Cited by 154
Default-mode function and task-induced deactivation have overlapping brain substrates in children
Thomason, M. E., Chang, C. E., Glover, G. H., Gabrieli, J. D. E., Greicius, M. D., & Gotlib, I. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.029 · Cited by 142
Wang, L.-B., Shen, H., Tang, F., Zang, Y., & Hu, D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.080 · Cited by 117
Self-citationDecoding lifespan changes of the human brain using resting-state functional connectivity MRI
Wang, L., Su, L., Shen, H., & Hu, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044530 · Cited by 115
Self-citationDynamic Coordination in the Brain
(2010) · The MIT Press eBooks · doi:10.7551/mitpress/9780262014717.001.0001 · Cited by 109
Yang, Z., Craddock, R. C., Margulies, D. S., Yan, C., & Milham, M. P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.014 · Cited by 102
Age effects on the default mode and control networks in typically developing children
Sato, J. R., Salum, G. A., Gadelha, A., Picon, F. A., Pan, P. M., Vieira, G., Zugman, A., Hoexter, M. Q., Anés, M., Moura, L. M., et al. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.07.004 · Cited by 85
Spatial frequency processing in scene-selective cortical regions
Kauffmann, L., Ramanoël, S., Guyader, N., Chauvin, A., & Peyrin, C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.058 · Cited by 76
Oler, J. A., Birn, R. M., Patriat, R., Fox, A. S., Shelton, S. E., Burghy, C. A., Stodola, D. E., Essex, M. J., Davidson, R. J., & Kalin, N. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.045 · Cited by 67
Hunyadi, B., Tousseyn, S., Dupont, P. J., Huffel, S. V., Vos, M. D., & Paesschen, W. V. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.011 · Cited by 37
Shen, H., Li, Z., Zeng, L., Yuan, L., Chen, F., Liu, Z., & Hu, D. (2014) · Neuroreport · doi:10.1097/wnr.0000000000000267 · Cited by 24
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The dynamic functional connectome: State-of-the-art and perspectives
Preti, M. G., Bolton, T. A. W., & Ville, D. V. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.061 · Cited by 1,454
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
BackgroundNorthoff, G., & Lamme, V. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.019 · Cited by 247
Dynamic functional connectivity of neurocognitive networks in children
Marusak, H. A., Calhoun, V. D., Brown, S., Crespo, L. M., Sala‐Hamrick, K., Gotlib, I. H., & Thomason, M. E. (2016) · Human Brain Mapping · doi:10.1002/hbm.23346 · Cited by 238
Zhang, C., Dougherty, C. C., Baum, S. A., White, T. J. H., & Michael, A. M. (2018) · Human Brain Mapping · doi:10.1002/hbm.23950 · Cited by 221
Metadata
- Authors
- Qin, J., Chen, S.-G., Hu, D., Zeng, L.-L., Fan, Y.-M., Chen, X.-P., & Shen, H.
- Affiliations
- National University of Defense Technology (CN)
- Corresponding author
- Shen, Hui
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-07-16
- Volume
- 9
- Pages
- 418-418
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC4503925
- OpenAlex
- W1587698431
- Cited by
- 117
- References
- 73
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 10 · 2023: 11 · 2022: 17 · 2021: 16 · 2020: 12 · 2019: 12 · 2018: 12 · 2017: 11 · 2016: 8
- FWCI
- 6.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key Laboratory of Human Factors Engineering
- National Natural Science Foundation of China (2013CB329401, 61375034, 61375111)
- National Key Research and Development Program of China (61375034, 61375111, 2013CB329401)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- 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
- Keywords
- dynamic functional connectivity, brain maturation, developmental trajectories, individual differences, default mode network, cerebellum, visual network, cingulo-opercular network, resting-state functional connectivity
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
