Functional Magnetic Resonance Imaging Evidence for Abnormalities in Response Selection in Attention Deficit Hyperactivity Disorder: Differences in Activation Associated with Response Inhibition but Not Habitual Motor Response
Open accessAbstract
Impaired response inhibition is thought to be a core deficit in attention deficit hyperactivity disorder (ADHD). Prior imaging studies investigating response inhibition in children with ADHD have used tasks involving different cognitive resources, thereby complicating the interpretation of their findings. In this study, a classical go/no-go task with a well-ingrained stimulus-response association (green = go; red = no-go) was used in order to minimize extraneous cognitive demands. Twenty-five children with ADHD and 25 typically developing (TD) children between the ages of 8 and 13 years and group-matched for IQ and performance on the go/no-go task were studied using event-related functional magnetic resonance imaging (fMRI). Analyses were used to examine differences in activation between the ADHD and TD groups for "go" (habitual motor response) and "no-go" (requiring inhibition of the motor response) events. Region-of-interest analyses revealed no between-group difference in activation in association with "go" events. For "no-go" events, the children with ADHD demonstrated significantly less activation than did TD controls within a network important for inhibiting a motor response to a visual stimulus, with frontal differences localized to the pre-supplementary motor area. Although blood oxygenation level-dependent fMRI data show no differences between children with ADHD and TD children in association with a habituated motor "go" response, during "no-go" events, which require selecting not to respond, children with ADHD show diminished recruitment of networks important for response inhibition. The findings suggest that abnormalities in circuits important for motor response selection contribute to deficits in response inhibition in children with ADHD and lend support to the growing awareness of ADHD-associated anomalies in medial frontal regions important for the control of voluntary actions.
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In the simple GNG task, ADHD children show reduced pre-SMA activation and an anomalous link between pre-SMA activation and intra-subject variability.
“Consistent with this, fMRI analysis using the simple GNG task reveals that, compared to TD children, children with ADHD show decreased pre-SMA activation (Suskauer, Simmonds, Fotedar et al., 2008) as well as anomalous association between pre-SMA activation and ISV (Suskauer, Simmonds, Caffo et al., 2008).”
From Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands (2009) · cites this paper as Suskauer, Simmonds, Fotedar et al., 2008
Children with ADHD show abnormalities in premotor regions, in particular the supplementary motor area, on anatomic and functional imaging studies.
“Consistent with this, children with ADHD show abnormalities in premotor regions, in particular the supplementary motor area on anatomic (Mostofsky, Cooper, Kates, Denckla, & Kaufmann, 2002; Shaw et al., 2006) and functional (Suskauer, Simmonds, Fotedar et al., 2008) imaging studies.”
From Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands (2009) · cites this paper as Suskauer, Simmonds, Fotedar et al., 2008
The rostral pre-SMA is critical to response selection, and activation in this region predicts lower intra-individual variability in typically developing children but not in children with ADHD.
“The SMA, in particular the rostral “pre-SMA”, has been shown to be critical to response selection (Isoda and Hikosaka, 2007) and recent fMRI findings reveal that activation in this region is predictive of lower ISV for TD children (Suskauer, Simmonds, Fotedar et al., 2008), but not children with ADHD (Suskauer, Simmonds, Caffo et al., 2008).”
From Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands (2009) · cites this paper as Suskauer, Simmonds, Fotedar et al., 2008
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References 105 · Cited by 155
Research works printed but not linked: 72
- Aron AR, Robbins TW, Poldrack RA. Inhibition and the right inferior frontal cortex. Trends in Cognitive Sciences. 2004;8:170–177. doi: 10.1016/j.tics.2004.02.010. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Asahi S, Okamoto Y, Okada G, Yamawaki S, Yokota N. Negative correlation between right prefrontal activity during response inhibition and impulsiveness: A fMRI study. European Archives of Psychiatry and Clinical Neuroscience. 2004;254:245–251. doi: 10.1007/s00406-004-0488-z. [DOI] [PubMed] [Google Scholar] · DOI
- Astafiev SV, Shulman GL, Corbetta M. Visuospatial reorienting signals in the human temporo-parietal junction are independent of response selection. European Journal of Neuroscience. 2006;23:591–596. doi: 10.1111/j.1460-9568.2005.04573.x. [DOI] [PubMed] [Google Scholar] · DOI
- Bellgrove MA, Hester R, Garavan H. The functional neuroanatomical correlates of response variability: Evidence from a response inhibition task. Neuropsychologia. 2004;42:1910–1916. doi: 10.1016/j.neuropsychologia.2004.05.007. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Berlin L, Bohlin G, Nyberg L, Janols LO. How well do measures of inhibition and other executive functions discriminate between children with ADHD and controls? Child Neuropsychology. 2004;10:1–13. doi: 10.1076/chin.10.1.1.26243. [DOI] [PubMed] [Google Scholar] · DOI
- Booth JR, Burman DD, Meyer JR, Lei Z, Trommer BL, Davenport ND, et al. Larger deficits in brain networks for response inhibition than for visual selective attention in attention deficit hyperactivity disorder (ADHD) Journal of Child Psychology and Psychiatry. 2005;46:94–111. doi: 10.1111/j.1469-7610.2004.00337.x. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Booth JR, Burman DD, Meyer JR, Trommer BL, Davenport ND, Parrish TB, et al. Brain–behavior correlation in children depends on the neurocognitive network. Human Brain Mapping. 2004;23:99–108. doi: 10.1002/hbm.20051. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Brett M, Leff AP, Rorden C, Ashburner J. Spatial normalization of brain images with focal lesions using cost function masking. Neuroimage. 2001;14:486–500. doi: 10.1006/nimg.2001.0845. [DOI] [PubMed] [Google Scholar] · DOI
- Calhoun V, Adali T, Kraut M, Pearlson G. A weighted least-squares algorithm for estimation and visualization of relative latencies in event-related functional MRI. Magnetic Resonance in Medicine. 2000;44:947–954. doi: 10.1002/1522-2594(200012)44:6<947::aid-mrm17>3.0.co;2-5. [DOI] [PubMed] [Google Scholar] · DOI
- Carmona S, Vilarroya O, Bielsa A, Tremols V, Soliva JC, Rovira M, et al. Global and regional gray matter reductions in ADHD: A voxel-based morphometric study. Neuroscience Letters. 2005;389:88–93. doi: 10.1016/j.neulet.2005.07.020. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Castellanos FX, Giedd JN, Berquin PC, Walter JM, Sharp W, Tran T, et al. Quantitative brain magnetic resonance imaging in girls with attention-deficit/hyperactivity disorder. Archives of General Psychiatry. 2001;58:289–295. doi: 10.1001/archpsyc.58.3.289. [DOI] [PubMed] [Google Scholar] · DOI
- Conners CK. Conners Rating Scales—revised. North Tonawanda, NY: Multiheath Systems; 1997. [Google Scholar]
- Connolly JD, Goodale MA, Desouza JF, Menon RS, Vilis T. A comparison of frontoparietal fMRI activation during anti-saccades and anti-pointing. Journal of Neurophysiology. 2000;84:1645–1655. doi: 10.1152/jn.2000.84.3.1645. [DOI] [PubMed] [Google Scholar] · DOI
- Denckla MB, Rudel RG. Anomalies of motor development in hyperactive boys. Annals of Neurology. 1978;3:231–233. doi: 10.1002/ana.410030308. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Downar J, Crawley AP, Mikulis DJ, Davis KD. A cortical network sensitive to stimulus salience in a neutral behavioral context across multiple sensory modalities. Journal of Neurophysiology. 2002;87:615–620. doi: 10.1152/jn.00636.2001. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Dum RP, Strick PL. The origin of corticospinal projections from the premotor areas in the frontal lobe. Journal of Neuroscience. 1991;11:667–689. doi: 10.1523/JNEUROSCI.11-03-00667.1991. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Durston S, Mulder M, Casey BJ, Ziermans T, van Engeland H. Activation in ventral prefrontal cortex is sensitive to genetic vulnerability for attention-deficit hyperactivity disorder. Biological Psychiatry. 2006;60:1062–1070. doi: 10.1016/j.biopsych.2005.12.020. [DOI] [PubMed] [Google Scholar] · DOI
- Durston S, Tottenham NT, Thomas KM, Davidson MC, Eigsti IM, Yang YH, et al. Differential patterns of striatal activation in young children with and without ADHD. Biological Psychiatry. 2003;53:871–878. doi: 10.1016/s0006-3223(02)01904-2. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Feifel D, Farber RH, Clementz BA, Perry W, Anllo-Vento L. Inhibitory deficits in ocular motor behavior in adults with attention-deficit/hyperactivity disorder. Biological Psychiatry. 2004;56:333–339. doi: 10.1016/j.biopsych.2004.06.019. [DOI] [PubMed] [Google Scholar] · DOI
- Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ. Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping. 1995;2:189–210. [Google Scholar]
- Garavan H, Hester R, Murphy K, Fassbender C, Kelly C. Individual differences in the functional neuroanatomy of inhibitory control. Brain Research. 2006;1105:130–142. doi: 10.1016/j.brainres.2006.03.029. [DOI] [PubMed] [Google Scholar] · DOI
- Garavan H, Ross TJ, Stein EA. Right hemispheric dominance of inhibitory control: An event-related functional MRI study. Proceedings of the National Academy of Sciences, USA. 1999;96:8301–8306. doi: 10.1073/pnas.96.14.8301. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Hanisch C, Radach R, Holtkamp K, Herpertz-Dahlmann B, Konrad K. Oculomotor inhibition in children with and without attention-deficit hyperactivity disorder (ADHD) Journal of Neural Transmission. 2006;113:671–684. doi: 10.1007/s00702-005-0344-y. [DOI] [PubMed] [Google Scholar] · DOI
- Hester RL, Murphy K, Foxe JJ, Foxe DM, Javitt DC, Garavan H. Predicting success: Patterns of cortical activation and deactivation prior to response inhibition. Journal of Cognitive Neuroscience. 2004;16:776–785. doi: 10.1162/089892904970726. [DOI] [PubMed] [Google Scholar] · DOI
- Holmes AP, Friston KJ. Generalisability, random effects and population inference. Neuroimage. 1998;7:S754. [Google Scholar]
- Hoshi E, Tanji J. Differential roles of neuronal activity in the supplementary and presupplementary motor areas: From information retrieval to motor planning and execution. Journal of Neurophysiology. 2004;92:3482–3499. doi: 10.1152/jn.00547.2004. [DOI] [PubMed] [Google Scholar] · DOI
- Humberstone M, Sawle GV, Clare S, Hykin J, Coxon R, Bowtell R, et al. Functional magnetic resonance imaging of single motor events reveals human presupplementary motor area. Annals of Neurology. 1997;42:632–637. doi: 10.1002/ana.410420414. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Hurks PP, Adam JJ, Hendriksen JG, Vles JS, Feron FJ, Kalff AC, et al. Controlled visuomotor preparation deficits in attention-deficit/hyperactivity disorder. Neuropsychology. 2005;19:66–76. doi: 10.1037/0894-4105.19.1.66. [DOI] [PubMed] [Google Scholar] · DOI
- Isoda M, Hikosaka O. Switching from automatic to controlled action by monkey medial frontal cortex. Nature Neuroscience. 2007;10:240–248. doi: 10.1038/nn1830. [DOI] [PubMed] [Google Scholar] · DOI
- Klein C, Wendling K, Huettner P, Ruder H, Peper M. Intra-subject variability in attention-deficit hyperactivity disorder. Biological Psychiatry. 2006;60:1088–1097. doi: 10.1016/j.biopsych.2006.04.003. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Klimkeit EI, Mattingley JB, Sheppard DM, Lee P, Bradshaw JL. Motor preparation, motor execution, attention, and executive functions in attention deficit/hyperactivity disorder (ADHD) Child Neuropsychology. 2005;11:153–173. doi: 10.1080/092970490911298. [DOI] [PubMed] [Google Scholar] · DOI
- Konishi S, Nakajima K, Uchida I, Kikyo H, Kameyama M, Miyashita Y. Common inhibitory mechanism in human inferior prefrontal cortex revealed by event-related functional MRI. Brain. 1999;122:981–991. doi: 10.1093/brain/122.5.981. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Kuntsi J, McLoughlin G, Asherson P. Attention deficit hyperactivity disorder. Neuromolecular Medicine. 2006;8:461–484. doi: 10.1385/NMM:8:4:461. [DOI] [PubMed] [Google Scholar] · DOI
- Lehericy S, Ducros M, Krainik A, Francois C, Van de Moortele PF, Ugurbil K, et al. 3-D diffusion tensor axonal tracking shows distinct SMA and pre-SMA projections to the human striatum. Cerebral Cortex. 2004;14:1302–1309. doi: 10.1093/cercor/bhh091. [DOI] [PubMed] [Google Scholar] · DOI
- Leth-Steensen C, Elbaz ZK, Douglas VI. Mean response times, variability, and skew in the responding of ADHD children: A response time distributional approach. Acta Psychologica (Amsterdam) 2000;104:167–190. doi: 10.1016/s0001-6918(00)00019-6. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Lu MT, Preston JB, Strick PL. Interconnections between the prefrontal cortex and the premotor areas in the frontal lobe. Journal of Comparative Neurology. 1994;341:375–392. doi: 10.1002/cne.903410308. [DOI] [PubMed] [Google Scholar] · DOI
- Luppino G, Matelli M, Camarda R, Rizzolatti G. Corticocortical connections of area F3 (SMA-proper) and area F6 (pre-SMA) in the macaque monkey. Journal of Comparative Neurology. 1993;338:114–140. doi: 10.1002/cne.903380109. [DOI] [PubMed] [Google Scholar] · DOI
- Mahone EM, Koth CW, Cutting L, Singer HS, Denckla MB. Executive function in fluency and recall measures among children with Tourette syndrome or ADHD. Journal of the International Neuropsychological Society. 2001;7:102–111. doi: 10.1017/s1355617701711101. [DOI] [PubMed] [Google Scholar] · DOI
- Middleton FA, Strick PL. Cerebellar output channels. In: Schmahmann JD, editor. The cerebellum in cognition. San Diego: Academic Press; 1997. pp. 61–107. [Google Scholar]
- Mostofsky SH, Lasker AG, Cutting LE, Denckla MB, Zee DS. Oculomotor abnormalities in attention deficit hyperactivity disorder: A preliminary study. Neurology. 2001;57:423–430. doi: 10.1212/wnl.57.3.423. [DOI] [PubMed] [Google Scholar] · DOI
- Mostofsky SH, Newschaffer CJ, Denckla MB. Overflow movements predict impaired response inhibition in children with ADHD. Perceptual and Motor Skills. 2003;97:1315–1331. doi: 10.2466/pms.2003.97.3f.1315. [DOI] [PubMed] [Google Scholar] · DOI
- Mostofsky SH, Rimrodt SL, Schafer JG, Boyce A, Goldberg MC, Pekar JJ, et al. Atypical motor and sensory cortex activation in attention-deficit/hyperactivity disorder: A functional magnetic resonance imaging study of simple sequential finger tapping. Biological Psychiatry. 2006;59:48–56. doi: 10.1016/j.biopsych.2005.06.011. [DOI] [PubMed] [Google Scholar] · DOI
- Mostofsky SH, Schafer JG, Abrams MT, Goldberg MC, Flower AA, Boyce A, et al. fMRI evidence that the neural basis of response inhibition is task-dependent. Brain Research, Cognitive Brain Research. 2003;17:419–430. doi: 10.1016/s0926-6410(03)00144-7. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Nigg JT. The ADHD response-inhibition deficit as measured by the stop task: Replication with DSM-IV combined type, extension, and qualification. Journal of Abnormal Child Psychology. 1999;27:393–402. doi: 10.1023/a:1021980002473. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Nigg JT. Is ADHD a disinhibitory disorder? Psychological Bulletin. 2001;127:571–598. doi: 10.1037/0033-2909.127.5.571. [DOI] [PubMed] [Google Scholar] · DOI
- Picard N, Strick PL. Motor areas of the medial wall: A review of their location and functional activation. Cerebral Cortex. 1996;6:342–353. doi: 10.1093/cercor/6.3.342. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Picton TW, Stuss DT, Alexander MP, Shallice T, Binns MA, Gillingham S. Effects of focal frontal lesions on response inhibition. Cerebral Cortex. 2006;17:826–838. doi: 10.1093/cercor/bhk031. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Pitcher TM, Piek JP, Hay DA. Fine and gross motor ability in males with ADHD. Developmental Medicine and Child Neurology. 2003;45:525–535. doi: 10.1017/s0012162203000975. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Reader MJ, Harris EL, Scheuerholz LJ, Denckla MB. Attention deficit hyperactivity disorder and executive dysfunction. Developmental Neuropsychology. 1994;10:493–512. [Google Scholar]
- Reich W. Diagnostic interview for children and adolescents (DICA) Journal of the American Academy of Child and Adolescent Psychiatry. 2000;39:59–66. doi: 10.1097/00004583-200001000-00017. [DOI] [PubMed] [Google Scholar] · DOI
- Rubia K, Overmeyer S, Taylor E, Brammer M, Williams SCR, Simmons A, et al. Hypofrontality in attention deficit hyperactivity disorder during higher-order motor control: A study with functional MRI. American Journal of Psychiatry. 1999;156:891–896. doi: 10.1176/ajp.156.6.891. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Rubia K, Russell T, Overmeyer S, Brammer MJ, Bullmore ET, Sharma T, et al. Mapping motor inhibition: Conjunctive brain activations across different versions of go/no-go and stop tasks. Neuroimage. 2001;13:250–261. doi: 10.1006/nimg.2000.0685. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Rubia K, Smith AB, Brammer MJ, Toone B, Taylor E. Abnormal brain activation during inhibition and error detection in medication-naive adolescents with ADHD. American Journal of Psychiatry. 2005;162:1067–1075. doi: 10.1176/appi.ajp.162.6.1067. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Rubia K, Taylor A, Taylor E, Sergeant JA. Synchronization, anticipation, and consistency in motor timing of children with dimensionally defined attention deficit hyperactivity behavior. Perceptual and Motor Skills. 1999;89:1237–1258. doi: 10.2466/pms.1999.89.3f.1237. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Schachar R, Tannock R, Marriott M, Logan G. Deficient inhibitory control in attention deficit hyperactivity disorder. Journal of Abnormal Child Psychology. 1995;23:411–437. doi: 10.1007/BF01447206. [DOI] [PubMed] [Google Scholar] · DOI
- Schlaggar BL, Brown TT, Lugar HM, Visscher KM, Miezin FM, Petersen SE. Functional neuroanatomical differences between adults and school-age children in the processing of single words. Science. 2002;296:1476–1479. doi: 10.1126/science.1069464. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Schulz KP, Fan J, Tang CY, Newcorn JH, Buchsbaum MS, Cheung AM, et al. Response inhibition in adolescents diagnosed with attention deficit hyperactivity disorder during childhood: An event-related fMRI study. American Journal of Psychiatry. 2004;161:1650–1657. doi: 10.1176/appi.ajp.161.9.1650. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Shaw P, Lerch J, Greenstein D, Sharp W, Clasen L, Evans A, et al. Longitudinal mapping of cortical thickness and clinical outcome in children and adolescents with attention-deficit/hyperactivity disorder. Archives of General Psychiatry. 2006;63:540–549. doi: 10.1001/archpsyc.63.5.540. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Simmonds DJ, Fotedar SG, Suskauer SJ, Pekar JJ, Denckla MB, Mostofsky SH. Functional brain correlates of response time variability in children. Neuropsychologia. 2007;45:2147–2157. doi: 10.1016/j.neuropsychologia.2007.01.013. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Smith AB, Taylor E, Brammer M, Toone B, Rubia K. Task-specific hypoactivation in prefrontal and temporoparietal brain regions during motor inhibition and task switching in medication-naive children and adolescents with attention deficit hyperactivity disorder. American Journal of Psychiatry. 2006;163:1044–1051. doi: 10.1176/ajp.2006.163.6.1044. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Steger J, Imhof K, Coutts E, Gundelfinger R, Steinhausen HC, Brandeis D. Attentional and neuromotor deficits in ADHD. Developmental Medicine and Child Neurology. 2001;43:172–179. [PubMed] [Google Scholar]
- Stevens J, Quittner AL, Zuckerman JB, Moore S. Behavioral inhibition, self-regulation of motivation, and working memory in children with attention deficit hyperactivity disorder. Developmental Neuropsychology. 2002;21:117–139. doi: 10.1207/S15326942DN2102_1. [DOI] [PubMed] [Google Scholar] · DOI
- Tamm L, Menon V, Reiss AL. Parietal attentional system aberrations during target detection in adolescents with attention deficit hyperactivity disorder: Event-related fMRI evidence. American Journal of Psychiatry. 2006;163:1033–1043. doi: 10.1176/ajp.2006.163.6.1033. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Toma K, Honda M, Hanakawa T, Okada T, Fukuyama H, Ikeda A, et al. Activities of the primary and supplementary motor areas increase in preparation and execution of voluntary muscle relaxation: An event-related fMRI study. Journal of Neuroscience. 1999;19:3527–3534. doi: 10.1523/JNEUROSCI.19-09-03527.1999. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Toplak ME, Tannock R. Tapping and anticipation performance in attention deficit hyperactivity disorder. Perceptual and Motor Skills. 2005;100:659–675. doi: 10.2466/pms.100.3.659-675. [DOI] [PubMed] [Google Scholar] · DOI
- Vaidya CJ, Bunge SA, Dudukovic NM, Zalecki CA, Elliott GR, Gabrieli JD. Altered neural substrates of cognitive control in childhood ADHD: Evidence from functional magnetic resonance imaging. American Journal of Psychiatry. 2005;162:1605–1613. doi: 10.1176/appi.ajp.162.9.1605. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Wager TD, Sylvester CY, Lacey SC, Nee DE, Franklin M, Jonides J. Common and unique components of response inhibition revealed by fMRI. Neuroimage. 2005;27:323–340. doi: 10.1016/j.neuroimage.2005.01.054. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Wechsler DL. Wechsler Intelligence Scale for Children—III. San Antonio, TX: The Psychological Corporation; 1991. [Google Scholar]
- Wechsler DL. Wechsler Individual Achievement Test. San Antonio, TX: The Psychological Corporation; 1992. [Google Scholar]
- Wechsler DL. Weschsler Individual Achievement Test—II. San Antonio, TX: The Psychological Corporation; 2002. [Google Scholar]
- Wechsler DL. Wechsler Intelligence Scale for Children—IV. San Antonio, TX: The Psychological Corporation; 2003. [Google Scholar]
- Wellington TM, Semrud-Clikeman M, Gregory AL, Murphy JM, Lancaster JL. Magnetic resonance imaging volumetric analysis of the putamen in children with ADHD: Combined type versus control. Journal of Attention Disorders. 2006;10:171–180. doi: 10.1177/1087054705284242. [DOI] [PubMed] [Google Scholar] · DOI
- Authors
- Suskauer, S. J., Simmonds, D. J., Fotedar, S., Blankner, J. G., Pekar, J. J., Denckla, M. B., & Mostofsky, S. H.
- Affiliations
- Kennedy Krieger Institute (US)
- 3USM Business Systems, Chantilly, VA
- 4University of Tennessee College of Medicine
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2008-03-01
- Volume
- 20
- Issue
- 3
- Pages
- 478-493
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC2896028
- OpenAlex
- W2081722843
- Cited by
- 155
- References
- 105
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 1 · 2021: 6 · 2020: 12 · 2019: 5 · 2018: 7 · 2017: 11 · 2016: 11 · 2015: 8 · 2014: 4 · 2013: 11 · 2012: 11
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH085328, R01MH078160)
- National Institute of Neurological Disorders and Stroke (K02NS044850, R01NS047781)
- National Center for Research Resources (M01RR000052)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- attention deficit hyperactivity disorder, response inhibition, response selection, go/no-go task, pre-supplementary motor area, medial frontal cortex, children
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Brain Mapping, Cerebral Cortex, Child, Decision Making, Female, Humans, Image Processing, Computer-Assisted, Inhibition, Psychological, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Oxygen, Reaction Time, Case-Control Studies
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