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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]
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“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
Tracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
(1967) · Medical Entomology and Zoology · Cited by 1,713
Structural magnetic resonance imaging of the adolescent brain
GIEDD, J. N. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.009 · Cited by 1,610
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Context, cortex, and dopamine: A connectionist approach to behavior and biology in schizophrenia.
Cohen, J. D., & Servan‐Schreiber, D. (1992) · Psychological Review · doi:10.1037/0033-295x.99.1.45 · Cited by 1,513
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481
In vivo evidence for post-adolescent brain maturation in frontal and striatal regions
Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999) · Nature Neuroscience · doi:10.1038/13154 · Cited by 1,439
Immature Frontal Lobe Contributions to Cognitive Control in Children
Bunge, S. A., Dudukovic, N. M., Thomason, M. E., Vaidya, C. J., & Gabrieli, J. D. E. (2002) · Neuron · doi:10.1016/s0896-6273(01)00583-9 · Cited by 1,291 · cited 1×
“Children recruit distinct and often larger, more diffuse frontostriatal regions when performing cognitive control tasks (Casey et al., 1997a,b, 2002a; Luna et al., 2001; Bunge et al., 2002).”
BackgroundDiamond, A. (2002) · Principles of Frontal Lobe Function · doi:10.1093/acprof:oso/9780195134971.003.0029 · Cited by 1,248
Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder
Castellanos, F. X. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070053009 · Cited by 1,183 · cited 3×
“This result adds to a growing body of evidence (Lim et al., 1999; Fredericksen et al., 2002; Ardekani et al., 2003) suggesting that genetic studies of disorders like ADHD and schizophrenia, which traditionally have focused on genes regulating dopaminergic neurotransmission, should also examine the regulation of myelin…”
BackgroundA developmental functional MRI study of prefrontal activation during performance of a go-no-go task
Casey, B. J., Trainor, R. J., Orendi, J. L., Schubert, A. B., Nystrom, L. E., Giedd, J. N., Castellanos, F. X., Haxby, J. V., Noll, D. C., Cohen, J. D., et al. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.6.835 · Cited by 1,106
Self-citationRubia, K., Overmeyer, S., Taylor, E., Brammer, M., Williams, S. C. R., Simmons, A., & Bullmore, E. T. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.6.891 · Cited by 1,010
Prefrontal cortical function and anxiety: Controlling attention to threat-related stimuli
Bishop, S., Duncan, J., Brett, M., & Lawrence, A. D. (2004) · Nature Neuroscience · doi:10.1038/nn1173 · Cited by 940
Water diffusion changes in wallerian degeneration and their dependence on white matter architecture
Pierpaoli, C., Barnett, A., Pajevic, S., Chen, R., Penix, L., Virta, A., & Basser, P. (2001) · NeuroImage · doi:10.1006/nimg.2001.0765 · Cited by 938
Maturation of white matter in the human brain: A review of magnetic resonance studies.
Paus, T., Collins, D. L., Evans, A. C., Leonard, G., Pike, B., & Zijdenbos, A. (2001) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00434-2 · Cited by 863
Vaidya, C. J., Austin, G., Kirkorian, G., Ridlehuber, H. W., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.24.14494 · Cited by 845
CASEY, B. J., CASTELLANOS, F. X., GIEDD, J. N., MARSH, W. L., HAMBURGER, S. D., SCHUBERT, A. B., VAUSS, Y. C., VAITUZIS, A. C., DICKSTEIN, D. P., SARFATTI, S. E., et al. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199703000-00016 · Cited by 800
Self-citationNagy, Z., Westerberg, H., & Klingberg, T. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041920441 · Cited by 794
Maturation of widely distributed brain function subserves cognitive development.
Luna, B., Thulborn, K. R., Munoz, D. P., Merriam, E. P., Garver, K. E., Minshew, N. J., Keshavan, M. S., Genovese, C. R., Eddy, W. F., & Sweeney, J. A. (2001) · NeuroImage · doi:10.1006/nimg.2000.0743 · Cited by 757
Microstructure of Temporo-Parietal White Matter as a Basis for Reading Ability
Klingberg, T., Hedehus, M., Temple, E., Salz, T., Gabrieli, J. D. E., Moseley, M. E., & Poldrack, R. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)80911-3 · Cited by 729
A neural basis for the development of inhibitory control
Durston, S., Thomas, K. M., Yang, Y., Uluğ, A. M., Zimmerman, R. D., & Casey, B. J. (2002) · Developmental Science · doi:10.1111/1467-7687.00235 · Cited by 684
Self-citationDifferential patterns of striatal activation in young children with and without ADHD
Durston, S., Tottenham, N. T., Thomas, K. M., Davidson, M. C., Eigsti, I.-M., Yang, Y., Ulug, A. M., & Casey, B. J. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01904-2 · Cited by 619
Self-citationFunctional frontalisation with age: mapping neurodevelopmental trajectories with fMRI
Rubia, K., Overmeyer, S., Taylor, E., Brammer, M., Williams, S. C. R., Simmons, A., Andrew, C., & Bullmore, E. T. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(99)00055-x · Cited by 545
Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans
Lehéricy, S., Ducros, M., Van De Moortele, P., Francois, C., Thivard, L., Poupon, C., Swindale, N., Ugurbil, K., & Kim, D. (2004) · Annals of Neurology · doi:10.1002/ana.20030 · Cited by 542
Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury.
Huisman, T. A. G. M., Schwamm, L. H., Schaefer, P. W., Koroshetz, W. J., Shetty-Alva, N., Özsunar, Y., Wu, O., & Sorensen, A. G. (2004) · PubMed Central · Cited by 497
The Postnatal Development of the Human Cerebral Cortex
Conel, J. L. R. (1960) · The American Journal of the Medical Sciences · doi:10.1097/00000441-196001000-00020 · Cited by 470
Mapping the genetic variation of executive attention onto brain activity
Fan, J., Fossella, J., Sommer, T., Wu, Y., & Posner, M. I. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0732088100 · Cited by 464
Myelination and organization of the frontal white matter in children
Klingberg, T., Vaidya, C. J., Gabrieli, J. D. E., Moseley, M. E., & Hedehus, M. (1999) · Neuroreport · doi:10.1097/00001756-199909090-00022 · Cited by 460
Compromised White Matter Tract Integrity in Schizophrenia Inferred From Diffusion Tensor Imaging
Lim, K. O., Hedehus, M., Moseley, M. E., de Crespigny, A. J., Sullivan, E. V., & Pfefferbaum, A. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.4.367 · Cited by 447
Madden, D. J., Whiting, W. L., Huettel, S. A., White, L. E., MacFall, J. R., & Provenzale, J. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.004 · Cited by 369
The Effect of Preceding Context on Inhibition: An Event-Related fMRI Study
Durston, S., Thomas, K. M., Worden, M. S., Yang, Y., & Casey, B. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1074 · Cited by 357
Self-citationKahneman, D. J., Treisman, A., & Burkell, J. (1983) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.9.4.510 · Cited by 316
Lehéricy, S. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh091 · Cited by 311
Clinical, imaging, lesion, and genetic approaches toward a model of cognitive control
Casey, B. J., Tottenham, N., & Fossella, J. (2002) · Developmental Psychobiology · doi:10.1002/dev.10030 · Cited by 269
Self-citationMRI study of white matter diffusion anisotropy in schizophrenia
Ardekani, B. A., Nierenberg, J. J., Hoptman, M. J., Javitt, D. C., & Lim, K. O. (2003) · Neuroreport · doi:10.1097/00001756-200311140-00004 · Cited by 245
Durston, S. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.08.004 · Cited by 207
All Together Now: When Dissociations Between Knowledge and Action Disappear
Munakata, Y., & Yerys, B. E. (2001) · Psychological Science · doi:10.1111/1467-9280.00361 · Cited by 141
Casey, B. J., Thomas, K. M., Davidson, M. C., Kunz, K., & Franzen, P. L. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-19-08647.2002 · Cited by 137
Self-citationDisproportionate increases of white matter in right frontal lobe in Tourette syndrome
Fredericksen, K., Cutting, L. E., Kates, W. R., Mostofsky, S. H., Singer, H. S., Cooper, K. L., Lanham, D. C., DENCKLA, M. B., & Kaufmann, W. E. (2002) · Neurology · doi:10.1212/wnl.58.1.85 · Cited by 124
Mulkern, R. V., Zengingönül, H. P., Robertson, R. L., Bogner, P., Zou, K. H., Guðbjartsson, H., Guttmann, C. R. G., Holtzman, D. H., Kyriakos, W. E., Jolesz, F. A., et al. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200008)44:2 · Cited by 111
Executive functions and development: emerging themes
Hughes, C. H. (2002) · Infant and Child Development · doi:10.1002/icd.297 · Cited by 103
To go or not to go: inhibitory control in ‘hard to manage’ children
Brophy, M., Taylor, E., & Hughes, C. (2002) · Infant and Child Development · doi:10.1002/icd.301 · Cited by 84 · cited 2×
“…children's capacity for cognitive control develops across the first decade with younger children more susceptible to interference on a variety of tasks in this domain (Casey et al., 1997b, 2002a; Munakata and Yerys, 2001; Brophy et al., 2002; Diamond, 2002; Hughes, 2002; Durston et al., 2003a).”
BackgroundLee, S., Mori, S., Kim, D. J., Kim, S. Y., Kim, S. Y., & Kim, D. I. (2004) · PubMed Central · Cited by 84
Alsop, D., Murai, H., Detre, J., McIntosh, T. K., & Smith, D. H. (1996) · Journal of Neurotrauma · doi:10.1089/neu.1996.13.515 · Cited by 79
Watts, R., Liston, C. M., Niogi, S. N., & Uluğ, A. M. (2003) · Mental Retardation and Developmental Disabilities Research Reviews · doi:10.1002/mrdd.10077 · Cited by 76
Self-citationDiffusion Tensor MRI and Fiber Tractography of Cerebellar Atrophy in Phenytoin Users
Lee, S., Mori, S., Kim, D. J., Kim, S. Y., Kim, S. Y., Chu, M., Heo, K., Lee, B. I., & Kim, D. I. (2003) · Epilepsia · doi:10.1111/j.0013-9580.2003.43502.x · Cited by 29
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
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Self-citationA Developmental Perspective on Executive Function
Best, J. R., & Miller, P. H. (2010) · Child Development · doi:10.1111/j.1467-8624.2010.01499.x · Cited by 2,692
(2009) · Cited by 2,013
Casey, B. J., Getz, S., & Galvan, A. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.003 · Cited by 1,810
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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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