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Frontostriatal Microstructure Modulates Efficient Recruitment of Cognitive Control
Abstract
Many studies have linked activity in a frontostriatal network with the capacity to suppress inappropriate thoughts and actions, but relatively few have examined the role of connectivity between these structures. Here, we use diffusion tensor imaging to assess frontostriatal connectivity in 21 subjects (ages 7-31 years). Fifteen subjects were tested on a go/no-go task, where they responded with a button press to a visual stimulus and inhibited a response to a second infrequent stimulus. An automated fiber tracking algorithm was used to delineate white matter fibers adjacent to ventral prefrontal cortex and the striatum, and the corticospinal tract, which was not expected to contribute to control per se. Diffusion in frontostriatal and corticospinal tracts became more restricted with age. This shift was paralleled by an increase in efficiency of task performance. Frontostriatal radial diffusivities predicted faster reaction times, independent of age and accuracy, and this correlation grew stronger for trials expected to require greater control. This was not observed in the corticospinal tract. On trials matched for speed of task performance, adults were significantly more accurate, and accuracies were correlated with frontostriatal, but not corticospinal, diffusivities. These findings suggest that frontostriatal connectivity may contribute to developmental and individual differences in the efficient recruitment of cognitive control.
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“These neurobiological changes underlie the profound maturation in motivational and cognitive domains across adolescence [30–34]”
From Adolescent nicotine exposure and persistent neurocircuitry changes: unveiling lifelong psychiatric risks (2025) · cites this paper as [34]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Using a similar approach, Liston and colleagues (2006) have shown that white matter tracts between prefrontal–basal ganglia and posterior fiber tracts continue to develop across childhood into adulthood, but only tracts between the prefrontal cortex and basal ganglia are correlated with impulse control, as measured by performance on a go/no-go task.”
From The Adolescent Brain (2008) · cites this paper as Liston et al. 2006
In the citing paper
“Consistent with several studies (53), there was a significant correlation between SSRT and right IFG -striatum tract strength ( r = -0.31, P = 0.045) but, importantly, not with structural and functional connectivity of the right dlPFC -striatum ( r = -0.15, P = 0.33, and r = 0.06, P = 0.66, respectively; Fig. S2).”
From Adolescent impatience decreases with increased frontostriatal connectivity (2015) · cites this paper as [53]
In the citing paper
“Consistent with several studies (53), there was a significant correlation between SSRT and right IFG -striatum tract strength ( r = -0.31, P = 0.045) but, importantly, not with structural and functional connectivity of the right dlPFC -striatum ( r = -0.15, P = 0.33, and r = 0.06, P = 0.66, respectively; Fig. S2).”
From Adolescent impatience decreases with increased frontostriatal connectivity (2015) · cites this paper as [53]
In the citing paper
“Consistent with several studies (53), there was a significant correlation between SSRT and right IFG -striatum tract strength ( r = -0.31, P = 0.045) but, importantly, not with structural and functional connectivity of the right dlPFC -striatum ( r = -0.15, P = 0.33, and r = 0.06, P = 0.66, respectively; Fig. S2).”
From Adolescent impatience decreases with increased frontostriatal connectivity (2015) · cites this paper as [53]
In the citing paper
“functional connectivity studies suggest that the integration and coordination between brain regions, including subcortical to cortical connections, become more refined and efficient over adolescence, leading to reduced task-irrelevant connections, strengthening of connections supporting goal-directed actions, and elimination of redundant connections (Durston, Davidson et al. 2006; Liston, Watts et”
From Developmental imaging genetics: Linking dopamine function to adolescent behavior (2014) · cites this paper as Liston, Watts et al. 2006
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Citations
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
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 1×
“…as measured histologically (Conel, 1939--1963; Yakovlev and LeCours, 1967; Huttenlocher, 1979) and indexed by imaging methods (Sowell et al., 1999, 2003, 2004; Klingberg et al., 1999; Paus et al., 2001; Giedd, 2004; Gogtay et al., 2004) proceeds slowly throughout late childhood and adolescence.”
MethodThree-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,513
Anterior Cingulate Conflict Monitoring and Adjustments in Control
Kerns, J. G., Cohen, J. D., MacDonald, A. W., Cho, R. Y., Stenger, V. A., & Carter, C. S. (2004) · Science · doi:10.1126/science.1089910 · Cited by 2,891
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Synaptic density in human frontal cortex —Developmental changes and effects of aging
Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645
Comparing correlated correlation coefficients
Meng, X.-L., Rosenthal, R., & Rubin, D. B. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.111.1.172 · Cited by 2,472
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
The Architecture of Cognitive Control in the Human Prefrontal Cortex
Koechlin, É., Ody, C., & Kouneiher, F. (2003) · Science · doi:10.1126/science.1088545 · Cited by 1,939
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Items 201–300 of 475
Yang, Y., Bender, A. R., & Raz, N. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.11.020 · Cited by 43
Roberts, E., Anderson, E. J., & Husain, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4879-10.2010 · Cited by 43
Distinct cognitive performance and patterns of drug use among early and late onset cocaine users
Lopes, B. M., Gonçalves, P. D., Ometto, M., dos Santos, B., Cavallet, M., Chaim-Avancini, T. M., Serpa, M. H., Nicastri, S., Malbergier, A., Busatto, G. F., et al. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.04.013 · Cited by 41
Fitzgerald, J., Leemans, A., Kehoe, E. G., O’Hanlon, E., Gallagher, L., & McGrath, J. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13655 · Cited by 42
Lydon‐Staley, D. M., & Geier, C. F. (2018) · Journal of Research on Adolescence · doi:10.1111/jora.12335 · Cited by 41
Kamali, A., Kramer, L. A., & Hasan, K. M. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.06.026 · Cited by 42
Unity and diversity of tonic and phasic executive control components in episodic and working memory
Marklund, P., Fransson, P., Cabeza, R. E. L., Larsson, A., Ingvar, M., & Nyberg, L. H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.058 · Cited by 42
Response inhibition among early adolescents prenatally exposed to tobacco: An fMRI study
Bennett, D. S., Mohamed, F. B., Carmody, D. P., Bendersky, M., Patel, S. A., Khorrami, M. S., Faro, S. H., & Lewis, M. (2009) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2009.03.003 · Cited by 45
D, J. F. D., Poudel, G. R., Stout, J. C., Gray, M. A., Chua, P. M.-L., Borowsky, B., Egan, G. F., & Georgiou‐Karistianis, N. (2017) · Cortex · doi:10.1016/j.cortex.2017.04.001 · Cited by 38
The computational basis of following advice in adolescents
Buritica, J. M. R., Heekeren, H. R., & van den Bos, W. (2019) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2018.11.019 · Cited by 38
Durston, S. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000539 · Cited by 40
Reward anticipation in the adolescent and aging brain
Lorenz, R. C., Gleich, T., Beck, A., Pöhland, L., Raufelder, D., Sommer, W., Rapp, M. A., Kühn, S., & Gallinat, J. (2014) · Human Brain Mapping · doi:10.1002/hbm.22540 · Cited by 37
Nutrients for executive function development and related brain connectivity in school-aged children
Costello, S. E., Geiser, E., & Schneider, N. (2020) · Nutrition Reviews · doi:10.1093/nutrit/nuaa134 · Cited by 45
Development of Large-Scale Functional Brain Networks in Children
Supekar, K., Musen, M., & Menon, V. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70984-x · Cited by 36
Szekely, A., Silton, R. L., Heller, W., Miller, G. A., & Mohanty, A. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw137 · Cited by 40
Neuron-Targeted Caveolin-1 Promotes Ultrastructural and Functional Hippocampal Synaptic Plasticity
Egawa, J., Zemljic‐Harpf, A. E., Mandyam, C. D., Niesman, I. R., Lysenko, L. V., Kleschevnikov, A. M., Roth, D. M., Patel, H. H., Patel, P. M., & Head, B. P. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx196 · Cited by 36
Neuroimaging Studies of Children with Serious Emotional Disturbances: A Selective Review
Serene, J. A., Ashtari, M., Szeszko, P. R., & Kumra, S. (2007) · The Canadian Journal of Psychiatry · doi:10.1177/070674370705200302 · Cited by 37
Persistent behavioral and neurobiological consequences of social isolation during adolescence
Li, D. C., Hinton, E. A., & Gourley, S. L. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.05.017 · Cited by 38
Brain and Cognitive Development
Stiles, J., Brown, T. T., Haist, F., & Jernigan, T. L. (2015) · Wiley eBooks · doi:10.1002/9781118963418.childpsy202 · Cited by 37
Kim‐Spoon, J., Maciejewski, D. F., Lee, J., Deater-Deckard, K. D., & King‐Casas, B. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.04.009 · Cited by 36
Feng, D., Yuan, K., Li, Y., Cai, C., Yin, J., Bi, Y., Cheng, J., Guan, Y., Shi, S., Yu, D., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9427-z · Cited by 34
Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network
Diniz, P. H. B., Valente, T. L. A., Diniz, J. O. B., Silva, A. C., Gattass, M., Ventura, N., Muniz, B. C., & Gasparetto, E. L. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.04.011 · Cited by 34
Stimulant Medication and Prefrontal Functional Connectivity During Working Memory in ADHD
Sheridan, M. A., Hinshaw, S. P., & D’Esposito, M. (2010) · Journal of Attention Disorders · doi:10.1177/1087054709347444 · Cited by 34
Naaijen, J., Lythgoe, D. J., Zwiers, M. P., Hartman, C. A., Hoekstra, P. J., Buitelaar, J. K., & Aarts, E. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.01.002 · Cited by 37
Neuroscience and Young Drivers
Glendon, A. I. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-381984-0.10009-8 · Cited by 35
Carr, R. L., Borazjani, A., & Ross, M. K. (2011) · Toxicological Sciences · doi:10.1093/toxsci/kfr081 · Cited by 34
Brain Activation during Working Memory after Traumatic Brain Injury in Children
Newsome, M. R., Scheibel, R. S., Hunter, J. V., Wang, Z., Chu, Z. D., Li, X., & Levin, H. S. (2007) · Neurocase · doi:10.1080/13554790601186629 · Cited by 33
Liu, J., Cohen, R. A., Gongvatana, A., Sheinkopf, S. J., & Lester, B. M. (2011) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2011.05.020 · Cited by 35
A fuzzy trace theory of adolescent risk taking: Beyond self-control and sensation seeking.
Chick, C. F., & Reyna, V. F. (2011) · American Psychological Association eBooks · doi:10.1037/13493-013 · Cited by 34
Onaolapo, O. J., & Onaolapo, A. Y. (2017) · Birth Defects Research · doi:10.1002/bdr2.1171 · Cited by 31
Girls' pubertal development is associated with white matter microstructure in late adolescence
Chahal, R., Vilgis, V., Grimm, K. J., Hipwell, A. E., Forbes, E. E., Keenan, K. E., & Guyer, A. E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.050 · Cited by 30
Oberman, L. M., Hynd, M., Nielson, D. M., Towbin, K. E., Lisanby, S. H., & Stringaris, A. K. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.642847 · Cited by 30
Schmithorst, V. J., Holland, S. K., & Plante, E. (2010) · Ear and Hearing · doi:10.1097/aud.0b013e3181f7a481 · Cited by 30
Parr, A. C., Calabro, F. J., Tervo‐Clemmens, B., Larsen, B., Foran, W., & Luna, B. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101100 · Cited by 32
Pal, D., Gupta, R. K., Agarwal, S., Yadav, A., Ojha, B. K., Awasthi, A., Rathore, R. K. S., Pandey, C. M., & Narayana, P. A. (2011) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2011.12.002 · Cited by 29
Ganesan, K., Thompson, A., Smid, C. R., Cañigueral, R., Li, Y., Revill, G., Puetz, V. B., Bernhardt, B. C., Dosenbach, N. U. F., Kievit, R., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01672-w · Cited by 30
Reactive and proactive control in incarcerated and community adolescents and young adults
Iselin, A.-M. R., & DeCoster, J. (2008) · Cognitive Development · doi:10.1016/j.cogdev.2008.07.001 · Cited by 28
Network dynamics in dyslexia: Review and implications for remediation
Kershner, J. R. (2016) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2016.07.014 · Cited by 30
Maciejewski, D. F., Brieant, A. E., Lee, J., King‐Casas, B., & Kim‐Spoon, J. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1491005 · Cited by 31
Inhibitory control after traumatic brain injury in children
Sinopoli, K. J., & Dennis, M. (2011) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2011.08.006 · Cited by 32
Reward improves cancellation and restraint inhibition across childhood and adolescence.
Sinopoli, K. J., Schachar, R. J., & Dennis, M. (2011) · Developmental Psychology · doi:10.1037/a0024440 · Cited by 29
Adolescent Behaviors and Cerebral Development: Psychoanalysis and the Neurosciences
Dayan, J., & Guillery-Girard, B. (2013) · Adolescence · doi:10.3917/ado.077.0479 · Cited by 30
Genes, Maternal Negativity, and Self-Control
WRIGHT, J. P., Schnupp, R., Beaver, K. M., DeLisi, M., & Vaughn, M. G. (2012) · Youth Violence and Juvenile Justice · doi:10.1177/1541204011429315 · Cited by 28
Striatal morphology and neurocognitive dysfunction in Huntington disease: The IMAGE-HD study
Wilkes, F., Abaryan, Z., Ching, C. R. K., Gutman, B. A., Madsen, S. K., Walterfang, M., Velakoulis, D., Stout, J. C., Chua, P. M.-L., Egan, G. F., et al. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.07.003 · Cited by 27
Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence
Wang, H., Fan, L., Song, M., Liu, B., Wu, D., Jiang, R., Li, J., Li, A., Banaschewski, T., Bokde, A. L. W., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa383 · Cited by 28
Age differences in appetitive Pavlovian conditioning and extinction in rats
Meyer, H. C., & Bucci, D. J. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.10.004 · Cited by 27
Reynolds, L. M., Faure, P., & Barik, J. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03110-0 · Cited by 26
Li, M., Lindenmuth, M., Tarnai, K., Lee, J., King‐Casas, B., Kim‐Spoon, J., & Deater-Deckard, K. D. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101139 · Cited by 33
Zhang, H., Zhang, Y., Xu, H., Wang, L., Zhao, J., Wang, J., Zhang, Z., Tan, Q., Kong, J., Huang, Q., et al. (2013) · Neuroscience Bulletin · doi:10.1007/s12264-013-1369-0 · Cited by 25
Maturity in adolescent and young adult offenders: The role of cognitive control.
Iselin, A.-M. R., DeCoster, J., & Salekin, R. T. (2009) · Law and Human Behavior · doi:10.1007/s10979-008-9160-x · Cited by 24
Hopkins, W. D., & Phillips, K. A. (2010) · Developmental Psychobiology · doi:10.1002/dev.20421 · Cited by 24
Approche neuroéconomique de la prise de risque à l’adolescence
Barbalat, G., Domenech, P., Vernet, M., & Fourneret, P. (2009) · L Encéphale · doi:10.1016/j.encep.2009.06.004 · Cited by 29
Adolescent Transformations of Behavioral and Neural Processes as Potential Targets for Prevention
Eldreth, D. A., Hardin, M. G., Pavletić, N., & Ernst, M. (2013) · Prevention Science · doi:10.1007/s11121-012-0322-1 · Cited by 26
Reyes, A., Uttarwar, V. S., Chang, Y. A., Balachandra, A. R., Pung, C. J., Hagler, D. J., Paul, B. M., & McDonald, C. R. (2017) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2017.09.012 · Cited by 25
Quantifying development: Investigating highly myelinated voxels in preadolescent corpus callosum
Whitaker, K. J., Kolind, S., MacKay, A. L., & Clark, C. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.038 · Cited by 23
Landgraf, M. N., Biebl, J. T., Langhagen, T., et al. (2017) · European Journal of Pain · doi:10.1002/ejp.1127 · Cited by 23
The Adolescent Brain: Insights from Neuroimaging
Giedd, J. N., & Denker, A. H. (2014) · Research and perspectives in endocrine interactions · doi:10.1007/978-3-319-09168-6_7 · Cited by 22
Dizziness and Vertigo in the Adolescent
Taylor, J. W., & Goodkin, H. P. (2011) · Otolaryngologic Clinics of North America · doi:10.1016/j.otc.2011.01.004 · Cited by 22
Applying Cognitive-Behavioral Therapy for ADHD to Emerging Adults
Knouse, L. E., & Fleming, A. P. (2016) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2016.03.008 · Cited by 26
Intrinsic Frontolimbic Connectivity and Mood Symptoms in Young Adult Cannabis Users
Shollenbarger, S. G., Thomas, A. M., Wade, N. E., Gruber, S. A., Tapert, S. F., Filbey, F. M., & Lisdahl, K. M. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00311 · Cited by 24
The Effects of Exercise and Body Armor on Cognitive Function in Healthy Volunteers
Roberts, A. P. J., & Cole, J. C. (2013) · Military Medicine · doi:10.7205/milmed-d-12-00385 · Cited by 21
Neurobehavioral maturation of motor response inhibition in adolescence – A narrative review
Weiss, H., & Luciana, M. M. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104646 · Cited by 27
Accessing the development and heritability of the capacity of cognitive control
Chen, Y., Chen, C., Wu, T., Qiu, B., Zhang, W., & Fan, J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107361 · Cited by 23
Diffusion Tensor Imaging in the Study of Aging and Age-Associated Neural Disease
Salat, D. H. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00012-3 · Cited by 21
The Promise and Peril of Emerging Adulthood: Introduction to the Special Issue
Henin, A., & Berman, N. C. (2016) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2016.05.005 · Cited by 21
Why Do Irrelevant Alternatives Matter? An fMRI-TMS Study of Context-Dependent Preferences
Chung, H.-K., Sjöström, T., Lee, H.-J., Lu, Y.-T., Tsuo, F.-Y., Chen, T.-S., Chang, C.-F., Juan, C.-H., Kuo, W., & Huang, C.-Y. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2307-16.2017 · Cited by 21
Wilmer, H. H., Hampton, W. H., Olino, T. M., Olson, I. R., & Chein, J. M. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz024 · Cited by 22
Developmental changes in the inferior frontal cortex for selecting semantic representations
Lee, S., Booth, J. R., Chen, S.-Y., & Chou, T. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.01.005 · Cited by 20
The Motivation-Based Promotion of Proactive Control: The Role of Salience Network
Qiao, L., Xu, L., Che, X., Zhang, L., Li, Y., Xue, G., Li, H., & Chen, A. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00328 · Cited by 21
Fifty years integrating neurobiology and psychology to study attention
Posner, M. I., & Rothbart, M. K. (2023) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108574 · Cited by 20
Vik, A., Hodneland, E., Haász, J., Ystad, M. A., Lundervold, A. J., & Lundervold, A. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00081 · Cited by 22
Maguire, M. J., White, J., & Brier, M. R. (2011) · Brain and Cognition · doi:10.1016/j.bandc.2011.02.015 · Cited by 19
The ontogeny of learned inhibitionPreprint
Meyer, H. C., & Bucci, D. J. (2014) · Learning & Memory · doi:10.1101/lm.033787.113 · Cited by 19
Thakkar, K. N., van den Heiligenberg, F. M., Kahn, R. S., & Neggers, S. F. W. (2016) · Human Brain Mapping · doi:10.1002/hbm.23209 · Cited by 19
Moisala, M., Salmela, V. R., Carlson, S., Salmela‐Aro, K., Lonka, K., Hakkarainen, K., & Alho, K. (2018) · Brain and Behavior · doi:10.1002/brb3.1063 · Cited by 22
Wang, S., Zhang, M., Liu, S., Xu, Y., Shao, Z., Chen, L., Li, J., Yang, W., Liu, J., & Yuan, K. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00445-w · Cited by 17
Salat, D. H., Lee, S. Y., Yu, P., Setty, B. N., Rosas, H. D., & Grant, P. E. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00010-9 · Cited by 18
Sex differences in tobacco smokers: Executive control network and frontostriatal connectivity
McCarthy, J. M., Dumais, K. M., Zegel, M., Pizzagalli, D. A., Olson, D. P., Moran, L. V., & Janes, A. C. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.11.023 · Cited by 18
Cohen‐Gilbert, J. E., Jensen, J. E., & Silveri, M. M. (2014) · Development and Psychopathology · doi:10.1017/s0954579414000030 · Cited by 18
A Practical Approach to Imaging of the Supplementary Motor Area and Its Subcortical Connections
de la Peña, M. J., Robles, S. G., de Vega, V. M., et al. (2020) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-020-01070-2 · Cited by 17
Kim‐Spoon, J., Herd, T., Brieant, A. E., Elder, J., Lee, J., Deater-Deckard, K. D., & King‐Casas, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118134 · Cited by 19
Manzardo, A. M., & Penick, E. C. (2006) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2006.00186.x · Cited by 17
Franczak, Ł., Podwalski, P., Wysocki, P., Dawidowski, B., Jędrzejewski, A., Jabłoński, M., & Samochowiec, J. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13226906 · Cited by 22
The Emergence of Cognitive Control Abilities in Childhood
Hsu, N. S., & Jaeggi, S. M. (2013) · Current topics in behavioral neurosciences · doi:10.1007/7854_2013_241 · Cited by 18
Christakou, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.008 · Cited by 17
Exploring common stressors in physical education: A qualitative study
Tudor, K., Sarkar, M., & Spray, C. M. (2018) · European Physical Education Review · doi:10.1177/1356336x18761586 · Cited by 21
Lu, L., Yang, W., Zhang, X., Tang, F., Du, Y., Li, F., Luo, J., Yan, C., Zhang, J., Li, J., et al. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.06.036 · Cited by 15
Regional differences in cerebral asymmetries of human cortical white matter
Iwabuchi, S. J., Häberling, I. S., Badzakova‐Trajkov, G., Patston, L. L. M., Waldie, K. E., Tippett, L. J., Corballis, M. C., & Kirk, I. J. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.09.011 · Cited by 15
Behavioral processes and risk for problem substance use in adolescents
Acheson, A. (2020) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2020.173021 · Cited by 16
Fall, S., Querné, L., Moing, A. G. L., & Berquin, P. C. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.05.001 · Cited by 14
Mürner-Lavanchy, I. M., Koenig, J., Ando, A., Henze, R., Schell, S., Resch, F., Brunner, R. M., & Kaess, M. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100812 · Cited by 15
The anatomical scaffold underlying the functional centrality of known cortical hubs
de Pasquale, F., Penna, S. D., Sabatini, U., Caravasso, C. F., & Péran, P. (2017) · Human Brain Mapping · doi:10.1002/hbm.23721 · Cited by 14
Latzman, R. D., Taglialatela, J. P., & Hopkins, W. D. (2015) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2015.0764 · Cited by 14
The Relevance of Immaturities in the Juvenile Brain to Culpability and Rehabilitation.
Luna, B. (2012) · PubMed · Cited by 14
Hinton, K. E., Lahey, B. B., Villalta‐Gil, V., Boyd, B. D., Yvernault, B., Werts, K. B., Plassard, A. J., Applegate, B. E., Woodward, N. D., Landman, B. A., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00127 · Cited by 18
Neurologic benefits of sports and exercise
ZAFONTE, R. D., Shih, S. L., Iaccarino, M. A., & Tan, C. O. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63954-7.00042-2 · Cited by 16
Kim, M. J., Elliott, M. L., d’Arbeloff, T. C., Knodt, A. R., Radtke, S. R., Brigidi, B. D., & Hariri, A. R. (2019) · Aggressive Behavior · doi:10.1002/ab.21820 · Cited by 14
Science in court: Arrested development
Buchen, L. (2012) · Nature · doi:10.1038/484304a · Cited by 14
Elmers, J., Colzato, L. S., Akgün, K., Ziemssen, T., & Beste, C. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102037 · Cited by 15
Walker, C. D., Sexton, H. G., Hyde, J., Greene, B., & Risher, M.-L. (2022) · Cells · doi:10.3390/cells11193111 · Cited by 13
Metadata
- Authors
- Liston, C., Watts, R., Tottenham, N., Davidson, M. C., Niogi, S., Ulug, A. M., & Casey, B. J.
- Affiliations
- Cornell University (US)
- Corresponding author
- Liston, Conor
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-07-20
- Volume
- 16
- Issue
- 4
- Pages
- 553-560
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2137938217
- Cited by
- 477
- References
- 59
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 10 · 2023: 10 · 2022: 11 · 2021: 11 · 2020: 73 · 2019: 9 · 2018: 24 · 2017: 24 · 2016: 24 · 2015: 25 · 2014: 24 · 2013: 44 · 2012: 22
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH063255, R01 MH 63255, R01MH091864, P01 MH 62196)
- National Institute on Drug Abuse (R21 DA 15882, R21DA015882)
- National Institute of General Medical Sciences (GM 07739, T32GM007739)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- frontostriatal connectivity, cognitive control, white matter microstructure, radial diffusivity, go/no-go task, response inhibition, ventral prefrontal cortex, striatum, corticospinal tract, developmental changes, individual differences, diffusion tensor imaging, tractography
- MeSH terms
- Adolescent, Adult, Aging, Brain Mapping, Child, Cognition, Corpus Striatum, Discrimination Learning, Female, Humans, Male, Neural Pathways, Psychomotor Performance, Prefrontal Cortex
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