The DOI matches its Crossref record; 69 of the 70 references it cites were found in a registry or an index.
Age group and sex differences in performance on a computerized neurocognitive battery in children age 8−21.
Open accessAbstract
OBJECTIVE: Examine age group effects and sex differences by applying a comprehensive computerized battery of identical behavioral measures linked to brain systems in youths that were already genotyped. Such information is needed to incorporate behavioral data as neuropsychological "biomarkers" in large-scale genomic studies. METHOD: We developed and applied a brief computerized neurocognitive battery that provides measures of performance accuracy and response time for executive-control, episodic memory, complex cognition, social cognition, and sensorimotor speed domains. We tested a population-based sample of 3,500 genotyped youths ages 8-21 years. RESULTS: Substantial improvement with age occurred for both accuracy and speed, but the rates varied by domain. The most pronounced improvement was noted in executive control functions, specifically attention, and in motor speed, with some effect sizes exceeding 1.8 standard deviation units. The least pronounced age group effect was in memory, where only face memory showed a large effect size on improved accuracy. Sex differences had much smaller effect sizes but were evident, with females outperforming males on attention, word and face memory, reasoning speed, and all social cognition tests and males outperforming females in spatial processing and sensorimotor and motor speed. These sex differences in most domains were seen already at the youngest age groups, and age group × sex interactions indicated divergence at the oldest groups with females becoming faster but less accurate than males. CONCLUSIONS: The results indicate that cognitive performance improves substantially in this age span, with large effect sizes that differ by domain. The more pronounced improvement for executive and reasoning domains than for memory suggests that memory capacities have reached their apex before age 8. Performance was sexually modulated and most sex differences were apparent by early adolescence.
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?
The cited source says what the claim attributes to it.
In the citing paper
“The tools that we have for measuring brain functioning and connectivity are growing, but only recently sizeable multimodal normative brain developmental data have become available, with large prospective studies ongoing in Rotterdam (68), San Diego (69) and Philadelphia (70).”
From Pediatric psychopharmacology: Too much or too little? (2013) · cites this paper as [69]
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
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
KAUFMAN, J., BIRMAHER, B., BRENT, D., RAO, U., FLYNN, C., MORECI, P., WILLIAMSON, D., & RYAN, N. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199707000-00021 · Cited by 10,148
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 5×
“While there is evidence that the sensorimotor strip and cerebellum are among the earliest to mature (Gogtay et al., 2004; Yakovlev & Lecours, 1967), the present Figure 6.”
InfluentialBrain 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
Emergence and Characterization of Sex Differences in Spatial Ability: A Meta-Analysis
Linn, M. C., & Petersen, A. C. (1985) · Child Development · doi:10.2307/1130467 · Cited by 3,230
Voyer, D., Voyer, S., & Bryden, M. P. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.2.250 · Cited by 2,868
Regional Development of the Brain in Early Life
(1968) · Archives of Disease in Childhood · doi:10.1136/adc.43.229.388 · Cited by 2,107
(1967) · Medical Entomology and Zoology · Cited by 1,713
The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence
Jung, R. E., & Haier, R. J. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07001185 · Cited by 1,651
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
Flagged first, then by citations
1 of the 70 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Wilkinson GS Robertson GJ Wide Range Achievement Test--Fourth Edition Psychological Assessment Resources 2006 Lutz, FL WRAT4 Introductory Kit
Cited by
Sorted by citations
Satterthwaite, T. D., Elliott, M. A., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M. E., Eickhoff, S. B., Hakonarson, H. H., Gur, R. C., Gur, R. E., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.052 · Cited by 1,982
Self-citationSex differences in anxiety and depression clinical perspectives
Altemus, M., Sarvaiya, N., & Neill Epperson, C. (2014) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2014.05.004 · Cited by 1,413
Sex differences in the structural connectome of the human brain
Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316909110 · Cited by 1,223
Self-citationThe NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., Lin, L., Macias, B. R., McKenna, M. J., Meydan, C., Mishra, T., Nasrini, J., et al. (2019) · Science · doi:10.1126/science.aau8650 · Cited by 1,128
Self-citationSex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants
Ritchie, S. J., Cox, S. R., Shen, X., Lombardo, M. V., Reus, L. M., Alloza, C., Harris, M. A., Alderson, H. L., Hunter, S., Neilson, E., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy109 · Cited by 855
“Whether such an effect can help explain higher average female ability in domains like social cognition (Gur et al. 2012), and whether such functional differences can be integrated with differences in the structural connectome (Ingalhalikar et al.”
BackgroundDemontis, D., Walters, G. B., Athanasiadis, G., Walters, R., Therrien, K., Nielsen, T. T., Farajzadeh, L., Voloudakis, G., Bendl, J., Zeng, B., et al. (2022) · Nature Genetics · doi:10.1016/j.euroneuro.2022.07.018 · Cited by 863
Neuroimaging of the Philadelphia Neurodevelopmental Cohort
Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.064 · Cited by 504
Self-citationLudyga, S., Gerber, M., Pühse, U., Looser, V. N., & Kamijo, K. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0851-8 · Cited by 522
Social re-orientation and brain development: An expanded and updated view
Nelson, E. E., Jarcho, J. M., & Guyer, A. E. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.008 · Cited by 447
“This mprovement is particularly marked in the social domain (Germine t al., 2011; Gur et al., 2012).”
Baum, G. L., Ciric, R., Roalf, D. R., Betzel, R. F., Moore, T. M., Shinohara, R. T., Kahn, A. E., Vandekar, S. N., Rupert, P. E., Quarmley, M., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.051 · Cited by 401
Self-citationBeyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context
Römer, D., Reyna, V. F., & Satterthwaite, T. D. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.07.007 · Cited by 465
Scott, J. C., Slomiak, S. T., Jones, J. D., Rosen, A. F. G., Moore, T. M., & Gur, R. C. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.0335 · Cited by 391
Self-citationLinked Sex Differences in Cognition and Functional Connectivity in Youth
Satterthwaite, T. D., Wolf, D. H., Roalf, D. R., Ruparel, K., Erus, G., Vandekar, S., Gennatas, E. D., Elliott, M. A., Smith, A. C. W., Hakonarson, H. H., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu036 · Cited by 388
Self-citationEmergence of system roles in normative neurodevelopment
Gu, S., Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., & Bassett, D. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502829112 · Cited by 338
Self-citationSex differences and the own-gender bias in face recognition: A meta-analytic review
Herlitz, A., & Lovén, J. (2013) · Visual Cognition · doi:10.1080/13506285.2013.823140 · Cited by 371
Satterthwaite, T. D., Connolly, J. J., Ruparel, K., Calkins, M. E., Jackson, C., Elliott, M. A., Roalf, D. R., Hopson, R., Prabhakaran, K., Behr, M., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.056 · Cited by 335
“As part of the PNC, the Penn CNBwas simplified for the pediatric population and shortened to a 1-hour administration time (Gur et al., 2014; Gur et al., 2012; Gur et al., 2010).”
InfluentialSelf-citationAls, T. D., Kurki, M., Grove, J., Voloudakis, G., Therrien, K., Tasanko, E. M., Nielsen, T. T., Naamanka, J., Veerapen, K., Levey, D. F., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02352-1 · Cited by 332
Psychometric Properties of the Penn Computerized Neurocognitive Battery
Moore, T. M., Reise, S. P., Gur, R. E., Hakonarson, H., & Gur, R. C. (2015) · Neuropsychology · doi:10.1037/neu0000093 · Cited by 325
Self-citationA distributed brain network predicts general intelligence from resting-state human neuroimaging data
Dubois, J., Galdi, P., Paul, L. K., & Adolphs, R. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0284 · Cited by 328
Crane, N. A., Schuster, R. M., Fusar‐Poli, P., & González, R. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9222-1 · Cited by 330
Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.045 · Cited by 253
Self-citationThe Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative
Calkins, M. E., Merikangas, K. R., Moore, T. M., Burstein, M., Behr, M. A., Satterthwaite, T. D., Ruparel, K., Wolf, D. H., Roalf, D. R., Mentch, F. D., et al. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12416 · Cited by 245
Self-citationFunctional maturation of the executive system during adolescence
Satterthwaite, T. D., Wolf, D. H., Erus, G., Ruparel, K., Elliott, M. A., Gennatas, E. D., Hopson, R., Jackson, C., Prabhakaran, K., Bilker, W. B., et al. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2345-13.2013 · Cited by 276
Self-citationIndividual Variation in Functional Topography of Association Networks in Youth
Cui, Z., Li, H., Xia, C. H., Larsen, B., Adebimpe, A., Baum, G. L., Cieslak, M., Gur, R. E., Gur, R. C., Moore, T. M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.029 · Cited by 274
Self-citationImaging Patterns of Brain Development and their Relationship to Cognition
Erus, G., Battapady, H., Satterthwaite, T. D., Hakonarson, H., Gur, R. E., Davatzikos, C., & Gur, R. C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht425 · Cited by 226
Self-citationRippon, G., Jordan-Young, R. M., Kaiser, A., & Fine, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00650 · Cited by 266
Gur, R. E., Moore, T. M., Rosen, A. F. G., Barzilay, R., Roalf, D. R., Calkins, M. E., Ruparel, K., Scott, J. C., Almasy, L., Satterthwaite, T. D., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0943 · Cited by 239
Self-citationMind-Mindedness and Theory of Mind: Mediating Roles of Language and Perspectival Symbolic Play
Meins, E., Fernyhough, C., Arnott, B., Leekam, S., & de Rosnay, M. (2013) · Child Development · doi:10.1111/cdev.12061 · Cited by 238
Sex differences in normal age trajectories of functional brain networks
Scheinost, D., Finn, E. S., Tokoglu, F., Shen, X., Papademetris, X., Hampson, M., & Constable, R. T. (2014) · Human Brain Mapping · doi:10.1002/hbm.22720 · Cited by 240
A canonical trajectory of executive function maturation from adolescence to adulthood
Tervo-Clemmens, B., Calabro, F. J., Parr, A. C., Fedor, J., Foran, W., & Luna, B. (2023) · Nature Communications · doi:10.1038/s41467-023-42540-8 · Cited by 241
Neurocognitive Growth Charting in Psychosis Spectrum Youths
Gur, R. C., Calkins, M. E., Satterthwaite, T. D., Ruparel, K., Bilker, W. B., Moore, T. M., Savitt, A. P., Hakonarson, H. H., & Gur, R. E. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.4190 · Cited by 236
Self-citationImpact of puberty on the evolution of cerebral perfusion during adolescence
Satterthwaite, T. D., Shinohara, R. T., Wolf, D. H., Hopson, R. D., Elliott, M. A., Vandekar, S., Ruparel, K., Calkins, M. E., Roalf, D. R., Gennatas, E. D., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400178111 · Cited by 236
Self-citationLiu, S., Seidlitz, J., Blumenthal, J. D., CLASEN, L. S., & Raznahan, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1919091117 · Cited by 221
Calkins, M. E., Moore, T., Merikangas, K., Burstein, M., Satterthwaite, T., Bilker, W., Ruparel, K., Chiavacci, R., Wolf, D., Mentch, F., et al. (2014) · World Psychiatry · doi:10.1002/wps.20152 · Cited by 216
Self-citationGur, R. E., & Gur, R. C. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.035 · Cited by 211
Self-citationLoke, Y., Harahsheh, A. S., Krieger, A., & Olivieri, L. (2017) · BMC Medical Education · doi:10.1186/s12909-017-0889-0 · Cited by 194
GABAergic Function as a Limiting Factor for Prefrontal Maturation during Adolescence
Caballero, A. C., & Tseng, K. Y. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.04.010 · Cited by 188
What did you do yesterday? A meta-analysis of sex differences in episodic memory.
Asperholm, M., Högman, N., Rafi, J., & Herlitz, A. (2019) · Psychological Bulletin · doi:10.1037/bul0000197 · Cited by 182
Development and Validation of the Cognition Test Battery for Spaceflight
Basner, M., Savitt, A. P., Moore, T. M., Port, A. M., McGuire, S., Ecker, A. J., Nasrini, J., Mollicone, D. J., Mott, C. M., McCann, T., et al. (2015) · Aerospace Medicine and Human Performance · doi:10.3357/amhp.4343.2015 · Cited by 182
Self-citationComplementarity of sex differences in brain and behavior: From laterality to multimodal neuroimaging
Gur, R. C., & Gur, R. E. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23830 · Cited by 165
Self-citationSex differences in hippocampal function
Koss, W. A., & Frick, K. M. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.23864 · Cited by 156
Establishing a link between sex-related differences in the structural connectome and behaviour
Tunç, B., Solmaz, B., Parker, D., Satterthwaite, T. D., Elliott, M. A., Calkins, M. E., Ruparel, K., Gur, R. E., Gur, R. C., & Verma, R. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0111 · Cited by 149
Self-citationSatterthwaite, T. D., Ruparel, K., Loughead, J., Elliott, M. A., Gerraty, R. T., Calkins, M. E., Hakonarson, H., Gur, R. C., Gur, R. E., & Wolf, D. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.060 · Cited by 148
Self-citationJiang, R., Calhoun, V. D., Fan, L., Zuo, N., Jung, R., Qi, S., Lin, D., Li, J., Zhuo, C., Song, M., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz134 · Cited by 126
Corcoran, C. M., Keilp, J. G., Jürgen Kayser, A., Klim, C. C., Butler, P. D., Bruder, G. E., Gur, R. C., & Javitt, D. C. (2015) · Psychological Medicine · doi:10.1017/s0033291715000902 · Cited by 135
Self-citationEising, E., Mirza‐Schreiber, N., de Zeeuw, E. L., Wang, C. A., Truong, D. T., Allegrini, A. G., Shapland, C. Y., Zhu, G., Wigg, K. G., Gerritse, M., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2202764119 · Cited by 142
Bhargava, A., Arnold, A. P., Bangasser, D. A., Denton, K. M., Gupta, A., Hilliard Krause, L. M., Mayer, E. A., McCarthy, M., Miller, W. L., Raznahan, A., et al. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnaa034 · Cited by 130
Topologically dissociable patterns of development of the human cerebral cortex
Vandekar, S. N., Shinohara, R. T., Raznahan, A., Roalf, D. R., Ross, M., DeLeo, N., Ruparel, K., Verma, R., Wolf, D. H., Gur, R. C., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.3628-14.2015 · Cited by 100
Self-citationSex-related differences in vision are heterogeneous
Shaqiri, A., Roinishvili, M., Grzeczkowski, L., Chkonia, E. D., Pilz, K. S., Möhr, C., Brand, A., Kunchulia, M., & Herzog, M. H. (2018) · Scientific Reports · doi:10.1038/s41598-018-25298-8 · Cited by 119
Connectome-wide network analysis of youth with Psychosis-Spectrum symptoms
Satterthwaite, T. D., Vandekar, S., Wolf, D. H., Bassett, D. S., Ruparel, K., Shehzad, Z. E., Craddock, R. C., Shinohara, R. T., Moore, T. M., Gennatas, E. D., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.66 · Cited by 107
Self-citationEspinosa, M. P., & KovářÃk, J. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00088 · Cited by 130
Bruijnen, C. J. W. H., Dijkstra, B. A. G., Walvoort, S. J. W., Budy, M. J. J., Beurmanjer, H., de Jong, C. A. J., & Kessels, R. P. C. (2020) · International Journal of Psychiatry in Clinical Practice · doi:10.1080/13651501.2020.1746348 · Cited by 109
Greenberg, D. M., Warrier, V., Abu-Akel, A. M., Allison, C. L., Gajos, K. Z., Reinecke, K., Rentfrow, P. J., Radecki, M. A., & Baron‐Cohen, S. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022385119 · Cited by 123
Als, L. C., Nadel, S., Cooper, M., Pierce, C. M., Sahakian, B. J., & Garralda, M. E. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e318275d032 · Cited by 110
Longitudinal Development of Brain Iron Is Linked to Cognition in Youth
Larsen, B., Bourque, J., Moore, T. M., Adebimpe, A., Calkins, M. E., Elliott, M. A., Gur, R. C., Gur, R. E., Moberg, P. J., Roalf, D. R., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2434-19.2020 · Cited by 107
Self-citationFunctional Neuroimaging Abnormalities in Youth With Psychosis Spectrum Symptoms
Wolf, D. H., Satterthwaite, T. D., Calkins, M. E., Ruparel, K., Elliott, M. A., Hopson, R. D., Jackson, C. T., Prabhakaran, K., Bilker, W. B., Hakonarson, H. H., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.3169 · Cited by 103
Self-citationRoalf, D. R., Gur, R. E., Ruparel, K., Calkins, M. E., Satterthwaite, T. D., Bilker, W. B., Hakonarson, H. H., Harris, L. J., & Gur, R. C. (2014) · Neuropsychology · doi:10.1037/neu0000067 · Cited by 106
Self-citationDamle, N., Ikuta, T., John, M., Peters, B. D., DeRosse, P., Malhotra, A. K., & Szeszko, P. R. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1334-6 · Cited by 99
Gur, R. E., Yi, J. J., McDonald‐McGinn, D. M., Tang, S. X., Calkins, M. E., Whinna, D. A., Souders, M. C., Savitt, A. P., Zackai, E. H., Moberg, P. J., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.189 · Cited by 96
Self-citationSex Differences in the Effect of Puberty on Hippocampal Morphology
Satterthwaite, T. D., Vandekar, S., Wolf, D. H., Ruparel, K., Roalf, D. R., Jackson, C. T., Elliott, M. A., Bilker, W. B., Calkins, M. E., Prabhakaran, K., et al. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.12.002 · Cited by 102
Self-citationElevated Amygdala Perfusion Mediates Developmental Sex Differences in Trait Anxiety
Kaczkurkin, A. N., Moore, T. M., Ruparel, K., Ćirić, R., Calkins, M. E., Shinohara, R. T., Elliott, M. A., Hopson, R. D., Roalf, D. R., Vandekar, S., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.04.021 · Cited by 96
Self-citationGarvey, M. A., Avenevoli, S., & Anderson, K. C. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.11.002 · Cited by 101
Gender Influences on Brain Responses to Errors and Post-Error Adjustments
Fischer, A. G., Danielmeier, C., Villringer, A., Klein, T. A., & Ullsperger, M. (2016) · Scientific Reports · doi:10.1038/srep24435 · Cited by 93
O'Toole, S. E., Monks, C. P., & Tsermentseli, S. K. (2017) · Social Development · doi:10.1111/sode.12231 · Cited by 103
Forns, J., Esnaola, M., López-Vicente, M., Suades-González, E., Álvarez‐Pedrerol, M., Júlvez, J., Grellier, J., Sebastián‐Gallés, N., & Sunyer, J. (2014) · Neuropsychology · doi:10.1037/neu0000085 · Cited by 88
Goddings, A., Roalf, D. R., Lebel, C. A., & Tamnes, C. K. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101008 · Cited by 97
Cui, Z., Stiso, J., Baum, G. L., Kim, J. Z., Roalf, D. R., Betzel, R. F., Gu, S., Lu, Z., Xia, C. H., He, X., et al. (2020) · eLife · doi:10.7554/elife.53060 · Cited by 88
Self-citationManual Control Age and Sex Differences in 4 to 11 Year Old Children
Flatters, I., Hill, L. J. B., Williams, J. H. G., Barber, S., & Mon-Williams, M. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088692 · Cited by 85
Social cognition as an RDoC domain
Gur, R. C., & Gur, R. E. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32394 · Cited by 89
Self-citationSex differences in network controllability as a predictor of executive function in youth
Cornblath, E. J., Tang, E., Baum, G. L., Moore, T. M., Adebimpe, A., Roalf, D. R., Gur, R. C., Gur, R. E., Pasqualetti, F., Satterthwaite, T. D., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.048 · Cited by 84
Self-citationDissociable multi-scale patterns of development in personalized brain networks
Pines, A. R., Larsen, B., Cui, Z., Sydnor, V. J., Bertolero, M. A., Adebimpe, A., Alexander‐Bloch, A. F., Davatzikos, C. A., Fair, D. A., Gur, R. C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30244-4 · Cited by 83
Self-citationGermine, L. T., Robinson, E., Smoller, J. W., Calkins, M. E., Moore, T. M., Hakonarson, H. H., Daly, M. J., Lee, P. H., Holmes, A. J., Buckner, R. L., et al. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.147 · Cited by 78
Self-citationTheodoraki, T. E., McGeown, S. P., Rhodes, S., & MacPherson, S. E. (2019) · British Journal of Developmental Psychology · doi:10.1111/bjdp.12307 · Cited by 81
Frontoparietal and default mode network connectivity varies with age and intelligence
DeSerisy, M., Ramphal, B., Pagliaccio, D., Raffanello, E., Tau, G. Z., Marsh, R., Posner, J. E., & Margolis, A. E. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100928 · Cited by 83
Diminished Cortical Thickness Is Associated with Impulsive Choice in Adolescence
Pehlivanova, M., Wolf, D. H., Sotiras, A., Kaczkurkin, A. N., Moore, T. M., Ciric, R., Cook, P. A., Garcia de La Garza, A., Rosen, A. F. G., Ruparel, K., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2200-17.2018 · Cited by 79
Self-citationIncidental Findings in Youths Volunteering for Brain MRI Research
Gur, R., Kaltman, D., Melhem, E., Ruparel, K., Prabhakaran, K., Riley, M., Yodh, E., Hakonarson, H., Satterthwaite, T., & Gur, R. C. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3525 · Cited by 83
Self-citationTeeuw, J., Brouwer, R. M., Guimaraes, J., Brandner, P., Koenis, M. M. G., Swagerman, S. C., Verwoert, M., Boomsma, D. I., & Pol, H. E. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116073 · Cited by 79
Sullivan, E. V., Brumback, T., Tapert, S. F., Fama, R., Prouty, D., Brown, S. A., Cummins, K. M., Thompson, W. K., Colrain, I. M., Baker, F. C., et al. (2016) · Neuropsychology · doi:10.1037/neu0000259 · Cited by 75
Executive Functions: Formative Versus Reflective Measurement
Willoughby, M. T., Holochwost, S. J., Blanton, Z. E., & Blair, C. (2014) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2014.929453 · Cited by 82
Medaglia, J. D., Satterthwaite, T. D., Kelkar, A., Ciric, R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., & Bassett, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.048 · Cited by 64
Self-citationRubin, L. H., Connelly, J. J., Reilly, J. L., Carter, C. S., Drogos, L. L., Pournajafi‐Nazarloo, H., Ruocco, A. C., Keedy, S., Matthew, I., Tandon, N., et al. (2015) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2015.10.003 · Cited by 72
Zhang, X., Liang, M., Qin, W., Wan, B., Yu, C., & Ming, D. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00244 · Cited by 71
A Window of Opportunity for Cognitive Training in Adolescence
Knoll, L. J., Fuhrmann, D., Sakhardande, A., Stamp, F., Speekenbrink, M., & Blakemore, S. (2016) · Psychological Science · doi:10.1177/0956797616671327 · Cited by 77
Shafee, R., Nanda, P., Padmanabhan, J. L., Tandon, N., Alliey‐Rodriguez, N., Kalapurakkel, S. S., Weiner, D. J., Gur, R. E., Keefe, R. S. E., Hill, S. K., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0124-8 · Cited by 69
Self-citationvan der Waerden, J., Bernard, J. Y., De Agostini, M., Saurel-Cubizolles, M.-J., Peyre, H., Heude, B., Melchior, M., & for The EDEN Mother-Child Cohort Study Group (2017) · Depression and Anxiety · doi:10.1002/da.22552 · Cited by 67
Sex differences in the functional topography of association networks in youth
Shanmugan, S., Seidlitz, J., Cui, Z., Adebimpe, A., Bassett, D. S., Bertolero, M. A., Davatzikos, C. A., Fair, D. A., Gur, R. E., Gur, R. C., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2110416119 · Cited by 69
Self-citationMaciejewski, D. F., van Lier, P. A. C., Branje, S., Meeus, W., & Koot, H. M. (2016) · Psychological Assessment · doi:10.1037/pas0000312 · Cited by 70
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
Horien, C. L., Noble, S., Greene, A. S., Lee, K., Barron, D. S., Gao, S., O’Connor, D. A., Salehi, M., Dadashkarimi, J., Shen, X., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-01005-4 · Cited by 70
Developmental coupling of cerebral blood flow and fMRI fluctuations in youth
Baller, E. B., Valcarcel, A. M., Adebimpe, A., Alexander-Bloch, A., Cui, Z., Gur, R., Gur, R. E., Larsen, B., Linn, K. A., O'Donnell, C., et al. (2021) · bioRxiv · doi:10.1016/j.celrep.2022.110576 · Cited by 65
Self-citationExploring individual and gender differences in early writing performance
Adams, A.-M., & Simmons, F. R. (2018) · Reading and Writing · doi:10.1007/s11145-018-9859-0 · Cited by 84
Kohls, G., Baumann, S., Gundlach, M., Scharke, W., Bernhard, A., Martinelli, A., Ackermann, K., Kersten, L., Prätzlich, M., Oldenhof, H., et al. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.04.003 · Cited by 64
Impact of self-esteem and sex on stress reactions
Kogler, L., Seidel, E., Metzler, H., Thaler, H., Boubela, R. N., Pruessner, J. C., Kryspin‐Exner, I., Gur, R. C., Windischberger, C., Moser, E., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17485-w · Cited by 69
Self-citationThe organisation of the elderly connectome
Perry, A., Wen, W. X., Lord, A., Thalamuthu, A., Roberts, G. M. P., Mitchell, P. B., Sachdev, P. S., & Breakspear, M. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.009 · Cited by 60
Demontis, D., Walters, G. B., Athanasiadis, G. I., Walters, R. K., Therrien, K., Farajzadeh, L., Voloudakis, G., Bendl, J. M., Zeng, B., Zhang, W., et al. (2022) · medRxiv · doi:10.1101/2022.02.14.22270780 · Cited by 61
Thalamic Nuclei Volumes in Psychotic Disorders and in Youths With Psychosis Spectrum Symptoms
Huang, A., Rogers, B. P., Sheffield, J. M., Jalbrzikowski, M., Anticevic, A., Blackford, J. U., Heckers, S., & Woodward, N. D. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.19101099 · Cited by 61
Development of the brain functional connectome follows puberty-dependent nonlinear trajectories
Gracia-Tabuenca, Z., Moreno, M. B., Barrios, F. A., & Alcauter, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117769 · Cited by 63
Mapping the Stability of Human Brain Asymmetry across Five Sex-Chromosome Aneuploidies
Lin, A., CLASEN, L. S., Lee, N., Wallace, G. L., Lalonde, F., Blumenthal, J. D., Giedd, J. N., & Raznahan, A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3489-14.2015 · Cited by 57
Neurocognitive profile in psychotic versus nonpsychotic individuals with 22q11.2 deletion syndrome
Weinberger, R., Yi, J. J., Calkins, M. E., Guri, Y., McDonald‐McGinn, D. M., Emanuel, B. S., Zackai, E. H., Ruparel, K., Carmel, M., Michaelovsky, E., et al. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.08.003 · Cited by 59
Self-citationDevelopmental Trajectories of Executive Functioning and Puberty in Boys and Girls
Chaku, N., & Hoyt, L. T. (2019) · Journal of Youth and Adolescence · doi:10.1007/s10964-019-01021-2 · Cited by 67
Patel, R., Steele, C. J., Chen, A. G. X., Patel, S., Devenyi, G. A., Germann, J., Tardif, C. L., & Chakravarty, M. M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116348 · Cited by 55
Metadata
- Authors
- Gur, R. C., Richard, J., Calkins, M. E., Chiavacci, R., Hansen, J. A., Bilker, W. B., Loughead, J., Connolly, J. J., Qiu, H., Mentch, F. D., Abou-Sleiman, P. M., Hakonarson, H., & Gur, R. E.
- Affiliations
- University of Pennsylvania (US)
- Children's Hospital of Philadelphia (US)
- ORCID
- Venue
- Neuropsychology
- Published
- 2012-03
- Volume
- 26
- Issue
- 2
- Pages
- 251-265
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- PMC
- PMC3295891
- OpenAlex
- W2069724292
- Cited by
- 507
- References
- 70
- Citations by year
- 2026: 20 · 2025: 23 · 2024: 29 · 2023: 43 · 2022: 52 · 2021: 44 · 2020: 47 · 2019: 37 · 2018: 41 · 2017: 38 · 2016: 41 · 2015: 31 · 2014: 32 · 2013: 21 · 2012: 8
- FWCI
- 39.41
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Health (RC2 Grants MH089983, MH089924, RO1 Grants MH084856, MH060722)
- The Children’s Hospital of Philadelphia
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- age differences, sex differences, executive function, episodic memory, social cognition, reaction time (psychology), accuracy, face memory, spatial processing, adolescence, cognitive development
- MeSH terms
- Adolescent, Age Factors, Attention, Child, Child Development, Cognition, Computers, Female, Humans, Male, Neuropsychological Tests, Psychomotor Performance, Reaction Time, Sex Factors, Young Adult, Executive Function, Memory, Episodic
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