The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index.
Frontostriatal Connectivity and Its Role in Cognitive Control in Parent-Child Dyads With ADHD
Abstract
OBJECTIVE: Many studies have linked the structure and function of frontostriatal circuitry to cognitive control deficits in attention deficit hyperactivity disorder (ADHD). Few studies have examined the role of white matter tracts between these structures or the extent to which white matter tract myelination and regularity correlate in family members with the disorder. METHOD: Functional imaging maps from a go/nogo task were used to identify portions of the ventral prefrontal cortex and striatum involved in suppressing an inappropriate action (i.e., cognitive control) in 30 parent-child dyads (N=60), including 20 dyads (N=40) with ADHD and 10 dyads (N=20) without ADHD. An automated fiber-tracking algorithm was used to delineate white matter fibers adjacent to these functionally defined regions based on diffusion tensor images. Fractional anisotropy, an index of white matter tract myelination and regularity derived from diffusion tensor images, was calculated to characterize the associations between white matter tracts and function. RESULTS: Fractional anisotropy in right prefrontal fiber tracts correlated with both functional activity in the inferior frontal gyrus and caudate nucleus and performance of a go/nogo task in parent-child dyads with ADHD, even after controlling for age. Prefrontal fiber tract measures were tightly associated between ADHD parents and their children. CONCLUSIONS: Collectively, these findings support previous studies suggesting heritability of frontostriatal structures among individuals with ADHD and suggest disruption in frontostriatal white matter tracts as one possible pathway to the disorder.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“In patients with ADHD, the white matter tracts that link the PFC to other brain regions also appear less well organized (Casey et al., 2007; Makris et al., 2008), and functional connectivity is reduced (Castellanos et al., 2008).”
From Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders (2011) · cites this paper as Casey et al., 2007
Citations
Cites
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
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
SHAFFER, D., FISHER, P., LUCAS, C. P., DULCAN, M. K., & SCHWAB-STONE, M. E. (2000) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200001000-00014 · Cited by 3,505
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
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
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522
Self-citationRegional Development of the Brain in Early Life
(1968) · Archives of Disease in Childhood · doi:10.1136/adc.43.229.388 · Cited by 2,107
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
Flagged first, then by citations
1 of the 42 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 201–258 of 258
Impulsiveness and Inhibitory Mechanisms
Bari, A., Kellermann, T. S., & Studer, B. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800935-2.00006-3 · Cited by 11
Jang, S. H., Chang, C. H., Jung, Y. J., & Lee, H. D. (2017) · Medicine · doi:10.1097/md.0000000000009117 · Cited by 7
Jones, S. A., Tipsord, J. M., Nagel, B. J., & Nigg, J. T. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.02.007 · Cited by 6
Braun, C., Delisle, J., Suffren, S., & Bolduc, M. (2013) · Laterality · doi:10.1080/1357650x.2012.695796 · Cited by 8
Neuropsychiatric disorders and genetic aspects of bowel or bladder dysfunction
Franco, I. (2015) · Wiley eBooks · doi:10.1002/9781118814789.ch7 · Cited by 6
Constant-Varlet, C., Nakai, T., & Prado, J. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02804-5 · Cited by 5
Diffusion tensor imaging provides new clues in adults with ADHD (Commentary on Konrad et al.)
Castellanos, F. X., & Hyde, Z. H. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07173.x · Cited by 6
First, M. B., Carter, C., Castellanos, F. X., Dickstein, D. P., Drevets, W. C., Kim, K. L., Pescosolido, M. F., Rausch, S., Seymour, K. E., & Zubieta, J.-K. (2012) · Cited by 5
Severe apathy due to injury of prefronto-caudate tract
Jang, S. H., & Kwon, H. G. (2019) · Translational Neuroscience · doi:10.1515/tnsci-2019-0027 · Cited by 5
Automatic diagnosis of ADHD based on multichannel nonlinear analysis of actimetry registries
Casaseca‐de‐la‐Higuera, P., Martín-Martínez, D., Alberola-López, S., de Llano, J. M. A., Villalobos, J. A. L., Garmendia-Leiza, J. R., & Alberola‐López, C. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346894 · Cited by 5
The development of the basal ganglia in Capuchin monkeys (Cebus apella)
Phillips, K. A., Sobieski, C. A., Gilbert, V. R., Chiappini-Williamson, C., Sherwood, C. C., & Strick, P. L. (2010) · Brain Research · doi:10.1016/j.brainres.2010.03.017 · Cited by 5
The Shape of Things to Come in Attention Deficit Hyperactivity Disorder
Shaw, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10010037 · Cited by 5
Bogdańska-Chomczyk, E., Wojtacha, P., Tsai, M.-L., Huang, A. C. W., & Kozłowska, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252413652 · Cited by 4
Disrupted topological organization of functional brain networks in traumatic axonal injury
Li, J., Shu, Y., Chen, L., Wang, B., Chen, L., Zhan, J., Kuang, H., Xia, G.-J., Zhou, F., Gong, H., et al. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00832-z · Cited by 4
Identifying Biomarkers for ADHD Remission
Loo, S. K. (2011) · The ADHD Report · doi:10.1521/adhd.2011.19.3.6 · Cited by 4
Attention deficit hyperactivity disorder
Berridge, C. W., Devilbiss, D. M., Spencer, R. C., Schmeichel, B. E., & Arnsten, A. F. T. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511980053.018 · Cited by 4
Poline, J., Breeze, J. L., & Frouin, V. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_24 · Cited by 4
Jang, S. H., Kim, S. H., & Lee, H. D. (2017) · Brain Injury · doi:10.1080/02699052.2017.1376761 · Cited by 4
Jang, S. H., Kim, S. H., & Kwon, H. G. (2019) · Acta Neurologica Belgica · doi:10.1007/s13760-019-01077-8 · Cited by 4
Towards a Biological Understanding of ADHD and the Discovery of Novel Therapeutic Approaches
Tannock, R., Campbell, B., Seymour, P. A., Ouellet, D., Soares, H. D., Wang, P., & Chappell, P. B. (2008) · Elsevier eBooks · doi:10.1016/b978-0-12-373861-5.00010-2 · Cited by 4
Baboli, R., Wu, K., Halperin, J. M., & Li, X. (2025) · Biomedicines · doi:10.3390/biomedicines13030676 · Cited by 2
Prefrontal and frontostriatal structures mediate academic outcomes associated with ADHD symptoms
Chiu, H., Genc, S., Malpas, C. B., Sciberras, E., Nicholson, J. M., Efron, D., & Silk, T. J. (2021) · Brain Disorders · doi:10.1016/j.dscb.2021.100023 · Cited by 4
Hale, T. S. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00062 · Cited by 5
Yaşlılarda Dikkat Eksikliği ve Hiperaktivite Bozukluğu
Çavuşoğlu, Ç., Demirkol, M. E., & Tamam, L. (2019) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.548052 · Cited by 4
Teicher, M. H., Bolger, E. A., Hafezi, P., Garcia, L. C. H., McGreenery, C. E., Weiser, L. P., Ohashi, K., & Khan, A. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114973 · Cited by 3
Casey, B. J., & Durston, S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.08.007 · Cited by 2
Self-citationA lifespan review of developmental neuroanatomy
Williamson, J. B. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511674815.003 · Cited by 2
Neurobiological heterogeneity in ADHD
de Zeeuw, P. (2008) · Utrecht University Repository (Utrecht University) · Cited by 2
Cherkasova, M. V., & Hechtman, L. T. (2013) · doi:10.2217/ebo.12.274 · Cited by 2
Antunes, V. C., Modesto, C. E. S., de Faria, G. S., Cipriani, L. M., & Cardoso, G. T. (2025) · Research Society and Development · doi:10.33448/rsd-v14i7.49295 · Cited by 1
The Vertically Organized Brain in Clinical Psychiatric Disorders
Koziol, L. F., & Budding, D. E. (2008) · Springer eBooks · doi:10.1007/978-0-387-84868-6_7 · Cited by 1
The Neural Correlates of Cognitive Control and the Development of Social Behavior
Lahat, A., & Fox, N. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00060-1 · Cited by 1
Functional Neuroimaging Evidence Supporting Neurofeedback in ADHD
Lévesque, J., & Beauregard, M. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-382235-2.00013-5 · Cited by 1
NABISWA, P. K. (2020) · Strategic Journal of Business & Change Management · doi:10.61426/sjbcm.v7i3.1661 · Cited by 1
Brain Development and the Risk for Substance Abuse
Heitzeg, M. M., & Casey, B. J. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190681425.003.0047 · Cited by 1
Self-citationCatecholamine influences on prefrontal cortex circuits and function
Arnsten, A. F. T., & Berridge, C. W. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139035491.015 · Cited by 1
Prefrontal oxygenation during executive tasks in children with developmental coordination disorder
Parker, J. K. L. (2012) · doi:10.31274/etd-180810-2269 · Cited by 1
Eiges, K. A. (2015) · CUNY Academic Works (City University of New York) · Cited by 1
Developmental Disorders of Attention
Cohen, R. A. (2013) · Springer eBooks · doi:10.1007/978-0-387-72639-7_18 · Cited by 1
Tolmacha, N., Pudvosky, K., Vandāns, J., & Bondarenko, A. N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.30.522305 · Cited by 1
Czego dowiedzieliśmy się o ADHD dzięki czynnościowym badaniom neuroobrazowym?
Dąbkowska, M. (2010) · DOAJ (DOAJ: Directory of Open Access Journals)
Disorders of Cognitive Control
Casey, B. J., Franklin, N., & Cohen, M. M. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00119-9
Self-citationBOLD fMRI: an update with emphasis on pediatric applications
Levita, L., Jones, R. M., & Casey, B. J. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511757402.023
Self-citationTrampush, J. W. (2010) · CUNY Academic Works (City University of New York)
Aufmerksamkeitsdefizits-/Hyperaktivitätsstörung (ADHS) im Erwachsenenalter: Verhaltenstherapie
Frodl, T. (2008) · Journal für Kardiologie (Krause & Pachernegg GmbH)
This Issue: Cases in Adult Attention-Deficit/Hyperactivity Disorder
Simon, A. B. (2013) · Psychiatric Annals · doi:10.3928/00485713-20130109-02
ADHD NEUROIMAGING: FINDINGS FROM STRUCTURAL AND FUNCTIONAL MAGNETIC RESONANCE IMAGING
Picon, F. A. (2014) · Debates em Psiquiatria · doi:10.25118/2236-918x-4-2-4 · Cited by 2
Update on neuroimaging in psychiatric disorders
Elfaal, M. (2018) · Hamdan Medical Journal · doi:10.4103/hmj.hmj_13_18
La sustancia blanca en los trastornos del desarrollo
Hidalgo, A. G., & Ustárroz, J. T. (2011) · Revista de Neurología · doi:10.33588/rn.5306.2011262
Ineichen, C., & Christen, M. (2020) · The International library of ethics, law and technology · doi:10.1007/978-3-030-56134-5_9
Attention-Deficit and Hyperactivity Disorders, Neural Basis of
Loe, I. M., & Feldman, H. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.55004-1
Wang, Y., Ma, L., Wang, J., Ding, Y., Liu, N., Men, W., Tan, S., Gao, J., Qin, S., Yong He, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25963081
The role of intrinsic neuronal excitability for Prelimbic network function
Sa, R. D. (2019) · theses.fr (ABES) · doi:10.70675/8b11b402z0ae7z4587z8084z65b59ce7ba62
Türközer, H. B., Tamminga, C. A., Fitzmaurice, G. M., Singh, M. K., Ivleva, E. I., Clementz, B. A., Pearlson, G. D., Keedy, S., Gershon, E. S., Keshavan, M. S., et al. (2026) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2026.05.001
Gow, R. V. (2012) · UPT. Syiah Kuala University Library (Syiah Kuala University)
Cocchi, L., Bramati, I. E., Zalesky, A., Furukawa, E., Fontenelle, L. F., Moll, J., Tripp, G., & Mattos, P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.3272-12.2012 · Cited by 151
Metadata
- Authors
- Casey, B. J., Epstein, J. N., Buhle, J., Liston, C., Davidson, M. C., Tonev, S. T., Spicer, J., Niogi, S., Millner, A. J., Reiss, A., Garrett, A., Hinshaw, S. P., Greenhill, L. L., Shafritz, K. M., Vitolo, A., Kotler, L. A., Jarrett, M. A., & Glover, G.
- Affiliations
- Cornell University (US)
- ORCID
- Venue
- American Journal of Psychiatry
- Published
- 2007-11
- Volume
- 164
- Issue
- 11
- Pages
- 1729-1736
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2121586074
- Cited by
- 258
- References
- 42
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 6 · 2023: 5 · 2022: 8 · 2021: 1 · 2020: 6 · 2019: 13 · 2018: 11 · 2017: 14 · 2016: 15 · 2015: 16 · 2014: 21 · 2013: 28 · 2012: 27
- FWCI
- 13.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH064166, R01MH064177, MH064182, K24MH064478, MH064177, R01MH064179, MH064166, R01MH064182, MH064179, MH064176, R01MH064176)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- attention deficit hyperactivity disorder, frontostriatal connectivity, cognitive control, parent-child dyads, white matter tracts, fractional anisotropy, heritability, go/no-go task, ventral prefrontal cortex, caudate nucleus, inferior frontal gyrus, diffusion tensor imaging, tractography
- MeSH terms
- Adolescent, Adult, Algorithms, Attention Deficit Disorder with Hyperactivity, Brain Mapping, Cognition, Cognition Disorders, Corpus Striatum, Female, Frontal Lobe, Humans, Individuality, Functional Laterality, Magnetic Resonance Imaging, Male, Middle Aged, Myelin Sheath, Neural Pathways, Parent-Child Relations, Psychomotor Performance, Anisotropy, Prefrontal Cortex, Control Groups, Diffusion Magnetic Resonance Imaging
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