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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.
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“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
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Items 101–200 of 258
King, K. M., Patock‐Peckham, J. A., Dager, A. D., Thimm, K., & Gates, J. R. (2014) · Current Addiction Reports · doi:10.1007/s40429-013-0005-4 · Cited by 58
King, A. V., Linke, J. O., Gass, A., Hennerici, M. G., Tost, H., Poupon, C., & Wessa, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.008 · Cited by 56
Silk, T. J., Vilgis, V., Adamson, C. L., Chen, J., Smit, L., Vance, A. L. A., & Bellgrove, M. A. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9470-9 · Cited by 57
Abnormal frontostriatal tracts in young male tobacco smokers
Yuan, K., Yu, D., Zhao, M., Li, M., Wang, R., Li, Y., Manza, P., Kojori, E. S., Wiers, C. E., Wang, G., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.046 · Cited by 56
Rethinking a Right Hemisphere Deficit in ADHD
Hale, T. S., Loo, S. K., Eran Zaidel, B., Hanada, G., Macion, J., & Smalley, S. L. (2008) · Journal of Attention Disorders · doi:10.1177/1087054708323005 · Cited by 58
Adisetiyo, V., Tabesh, A., Martino, A. D., Falangola, M. F., Castellanos, F. X., Jensen, J. H., & Helpern, J. A. (2013) · Human Brain Mapping · doi:10.1002/hbm.22317 · Cited by 54
Attention and Internalizing Behaviors in Relation to White Matter in Children Born Preterm
Loe, I. M., Lee, E. S., & Feldman, H. M. (2013) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0b013e3182842122 · Cited by 52
Striato-cortical tracts predict 12-h abstinence-induced lapse in smokers
Yuan, K., Zhao, M., Yu, D., Manza, P., Volkow, N. D., Wang, G., & Tian, J. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0182-x · Cited by 52
Visual Network Asymmetry and Default Mode Network Function in ADHD: An fMRI Study
Hale, T. S., Kane, A. M., Kaminsky, O., Tung, K. L., Wiley, J. F., McGough, J. J., Loo, S. K., & Kaplan, J. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00081 · Cited by 50
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Teslovich, T., Freidl, E. K., Kostro, K. B., Weigel, J., Davidow, J. Y., Riddle, M. C., Helion, C., Dreyfuss, M., ROSENBAUM, M. S., Walsh, B. T., et al. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.04.053 · Cited by 50
Self-citationGrowing out of attention deficit hyperactivity disorder: Insights from the ‘remitted’ brain
Sudre, G. P., Mangalmurti, A., & Shaw, P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.08.010 · Cited by 55
The Correlation between the Frontostriatal Network and Impulsivity in Internet Gaming Disorder
Kim, J.-Y., Chun, J., Park, C.-H., Cho, H., Choi, J., Yang, S., Ahn, K. J., & Kim, D. (2019) · Scientific Reports · doi:10.1038/s41598-018-37702-4 · Cited by 50
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Ritz, H., Leng, X., & Shenhav, A. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01822 · Cited by 57
Konrad, A., Dielentheis, T. F., Masri, D. E., Dellani, P. R., Stoeter, P., Vucurevic, G., & Winterer, G. (2012) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-011-0251-1 · Cited by 48
Peers influence adolescent reward processing, but not response inhibition
Smith, A. R., Rosenbaum, G. M., Botdorf, M., Steinberg, L. D., & Chein, J. M. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0569-5 · Cited by 57
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Benedetto, B. D., & Rupprecht, R. (2013) · Current Neuropharmacology · doi:10.2174/1570159x11311020004 · Cited by 50
Gau, S. S., Tseng, W.-L., Tseng, W. I., Wu, M. Y., & Lo, Y.-C. (2014) · Psychological Medicine · doi:10.1017/s0033291714001664 · Cited by 46
Pani, P., Menghini, D., Napolitano, C., Calcagni, M., Armando, M., Sergeant, J. A., & Vicari, S. (2013) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2013.06.032 · Cited by 47
The impact of acute tryptophan depletion on attentional performance in adult patients with ADHD
Mette, C., Zimmermann, M., Grabemann, M., Abdel‐Hamid, M., UEKERMANN, J., Biskup, C. S., Wiltfang, J., Zepf, F. D., & Kis, B. (2013) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12090 · Cited by 47
Wang, Y., Horst, K. K., Kronenberger, W. G., Hummer, T. A., Mosier, K. M., Kalnin, A., Dunn, D. W., & Mathews, V. P. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2012.01.005 · 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
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Durston, S. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000539 · Cited by 40
Li, D., Li, T., Niu, Y., Xiang, J., Cao, R., Liu, B., Zhang, H., & Wang, B. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9881-5 · Cited by 37
Wu, W., McAnulty, G. B., Hamoda, H. M., Sarill, K., Karmacharya, S., Gagoski, B. A., Ning, L., Grant, P. E., Shenton, M. E., Waber, D. P., et al. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00108-5 · Cited by 40
Wu, Z.-M., Llera, A., Hoogman, M., Cao, Q., Zwiers, M. P., Bralten, J., Li, A., Sun, L., Yang, L., Yang, B., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101851 · Cited by 42
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Garrett, A. S., Penniman, L. C., Epstein, J. N., Casey, B. J., Hinshaw, S. P., Glover, G. H., Tonev, S. T., Vitolo, A., Davidson, M., Spicer, J., et al. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318185d285 · Cited by 38
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Martín-Martínez, D., Casaseca‐de‐la‐Higuera, P., Alberola-López, S., Andrés-de-Llano, J., Villalobos, J. A. L., Ardura‐Fernandez, J., & Alberola‐López, C. (2012) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2011.12.023 · Cited by 39
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Hale, T. S., Kane, A. M., Tung, K. L., Kaminsky, O., McGough, J. J., Hanada, G., & Loo, S. K. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00087 · Cited by 38
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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
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Serenko, A., & Turel, O. (2020) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3410977.3410982 · Cited by 37
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Cooper, M., Thapar, A., & Jones, D. K. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.012 · Cited by 33
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Spencer, R. C., & Berridge, C. W. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0314-y · Cited by 31
Chaim, T. M., Zhang, T., Zanetti, M. V., da Silva, M. A., Louzã, M. R., Doshi, J. J., Serpa, M. H., Duran, F., Caetano, S. C., Davatzikos, C. A., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110199 · Cited by 29
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Robb, A. S., & Findling, R. L. (2013) · Postgraduate Medicine · doi:10.3810/pgm.2013.07.2685 · Cited by 29
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Voorhees, E. E. V., Mitchell, J. T., McClernon, F. J., Beckham, J. C., & Kollins, S. H. (2012) · Medical Hypotheses · doi:10.1016/j.mehy.2012.01.034 · Cited by 31
Castelli, M., Federici, M., Rossi, S., Chiara, V. D., Napolitano, F., Studer, V., Motta, C., Sacchetti, L., Romano, R., Musella, A., et al. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07876.x · Cited by 28
Fehlbaum, L. V., Peters, L., Dimanova, P., Roëll, M., Borbás, R., Ansari, D., & Raschle, N. M. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101058 · Cited by 29
Hermosillo, R. J. M., Mooney, M. A., Feczko, E., Earl, E., Marr, M. C., Sturgeon, D., Perrone, A. J., Miranda-Domínguez, Ó., Faraone, S. V., Wilmot, B., et al. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.11.014 · Cited by 31
Zhuo, L., Zhao, X., Zhai, Y., Zhao, B., Tian, L., Zhang, Y., Wang, X., Zhang, T., Gan, X., Yang, C., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01914-0 · Cited by 25
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del Campo, N., Müller, U., & Sahakian, B. J. (2012) · Current topics in behavioral neurosciences · doi:10.1007/7854_2012_200 · Cited by 26
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Farah, R., Schmithorst, V. J., Keith, R. W., & Holland, S. K. (2014) · Brain and Behavior · doi:10.1002/brb3.237 · Cited by 26
Morton, J. B. (2010) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.87 · Cited by 24
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Berridge, C., & Arnsten, A. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.01.002 · Cited by 24
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Rojas-Mayorquín, A. E., Padilla-Velarde, E., & Ortuño‐Sahagún, D. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00565 · Cited by 24
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Oades, R. D. (2010) · Handbook of behavioral neuroscience · doi:10.1016/s1569-7339(10)70101-6 · Cited by 25
Li, Q., Wong, J. H., Lü, G., Antonio, G. E., Yeung, D. K. W., Ng, T. B., Forster, E. L., & Yew, D. T. W. (2009) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2009.05.006 · Cited by 25
Wang, Y., Ma, L., Wang, J., Ding, Y., Liu, N., Men, W., Tan, S., Gao, J., Qin, S., Yong He, A., et al. (2024) · BMC Medicine · doi:10.1186/s12916-024-03449-1 · Cited by 25
Park, S., Kim, J.-W., Yang, Y.-H., Hong, S., Park, M.-H., Kim, B., Shin, M., Yoo, H., & Cho, S.-C. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-22 · Cited by 24
Saha, T., Chatterjee, M., Sinha, S., Rajamma, U., & Mukhopadhyay, K. (2017) · Journal of Human Genetics · doi:10.1038/jhg.2017.23 · Cited by 22
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Yoo, J. H., Sharma, V., Kim, J. W., McMakin, D. L., Hong, S.-B., Zalesky, A., Kim, B.-N., & Ryan, N. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102030 · Cited by 23
Imaging genetics of structural brain connectivity and neural integrity markers
Marenco, S., & Radulescu, E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.030 · Cited by 22
Bhroin, M. N., Seada, S. A., Bonthrone, A. F., Kelly, C. J., Christiaens, D., Schuh, A., Pietsch, M., Hutter, J. M., Tournier, J., Cordero‐Grande, L., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102423 · Cited by 23
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Hüppi, P. S. (2010) · Nestlé Nutrition Institute Workshop series · doi:10.1159/000281156 · 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
Hurtubise, J. L., Scavone, A., Sagar, S., & Erdődi, L. A. (2017) · Psychological Injury and Law · doi:10.1007/s12207-017-9287-5 · Cited by 20
Venkataraman, S. S., Claussen, C. M., Kharas, N., & Dafny, N. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2019.10.009 · Cited by 17
Advanced techniques in magnetic resonance imaging of the brain in children with ADHD
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Cooper, M., Thapar, A., & Jones, D. K. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2131-9 · 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
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Saunders, A., Kirk, I. J., & Waldie, K. E. (2016) · BioMed Research International · doi:10.1155/2016/4267842 · Cited by 16
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
Altered gene expression in the prefrontal cortex of young rats induced by the ADHD drug atomoxetine.
Lempp, T., Toennes, S., Wunder, C., Russe, O. Q., Möser, C. V., Kynast, K., Freitag, C., & Niederberger, E. (2013) · Progress in Neuro-psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.08.012 · Cited by 18
Functional connectivity between cognitive control regions is sensitive to familial risk for ADHD
Mulder, M., van Belle, J., van Engeland, H., & Durston, S. (2010) · Human Brain Mapping · doi:10.1002/hbm.21141 · Cited by 16
The Neurobiological Basis of Attention-Deficit/Hyperactivity Disorder
Arnsten, A. F. T., Berridge, C. W., & McCracken, J. T. (2009) · Primary psychiatry · 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
Hale, T. S., Wiley, J. F., Smalley, S. L., Tung, K. L., Kaminsky, O., McGough, J. J., Jaini, A. M., & Loo, S. K. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00063 · Cited by 13
Baboli, R., Cao, M., Halperin, J. M., & Li, X. (2022) · Brain Sciences · doi:10.3390/brainsci13010046 · Cited by 13
Zhang, F., & Iwaki, S. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00279 · Cited by 12
Li, X., Motwani, C., Cao, M., Martin, E., & Halperin, J. M. (2023) · Brain Sciences · doi:10.3390/brainsci13101469 · Cited by 12
Nutrition for the Brain: Commentary on the article by Isaacs et al. on page 308
Hüppi, P. S. (2008) · Pediatric Research · doi:10.1203/pdr.0b013e318168c6d1 · Cited by 12
Akinetic mutism in a patient with mild traumatic brain injury: A diffusion tensor tractography study
Jang, S. H., & Kwon, H. G. (2017) · Brain Injury · doi:10.1080/02699052.2017.1288265 · Cited by 12
van Ewijk, H., Bralten, J., van Duin, E. D. A., Hakobjan, M., Buitelaar, J. K., Heslenfeld, D. J., Hoekstra, P. J., Hartman, C. A., Hoogman, M., Oosterlaan, J., et al. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12742 · Cited by 12
Newman, V. E., Liddell, B. J., Beesley, T., & Most, S. B. (2019) · Acta Psychologica · doi:10.1016/j.actpsy.2019.102984 · Cited by 12
Cognitive Control in Attention Deficit Hyperactivity Disorder
de Zeeuw, P., & Durston, S. (2017) · Wiley eBooks · doi:10.1002/9781118920497.ch33 · Cited by 12
Levitt, J. J., Zhang, F., Vangel, M. G., Nestor, P. G., Yogesh Rathi, A., Karayumak, S. C., Kubicki, M. R., Coleman, M., Lewandowski, K. E., Holt, D. J., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02031-0 · Cited by 11
Assessment of executive functioning using tasks of executive control
Isquith, P. K., Roth, R. M., & Gioia, G. A. (2014) · Handbook of Executive Functioning · doi:10.1007/978-1-4614-8106-5_19 · Cited by 10
Apathy Due to Injury of the Prefrontocaudate Tract Following Mild Traumatic Brain Injury
Jang, S. H., & Kwon, H. G. (2016) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000000630 · Cited by 10
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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
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