Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T14:50:46.365Z Has data issue: false hasContentIssue false

The effects of acute fluoxetine administration on temporal discounting in youth with ADHD

Published online by Cambridge University Press:  28 December 2015

C. O. Carlisi
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
K. Chantiluke
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
L. Norman
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
A. Christakou
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
N. Barrett
Affiliation:
South London and Maudsley NHS Trust, London, UK
V. Giampietro
Affiliation:
Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
M. Brammer
Affiliation:
Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
A. Simmons
Affiliation:
Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) for Mental Health at South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
K. Rubia*
Affiliation:
Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
*
*Address for correspondence: Professor K. Rubia, Department of Child Psychiatry/MRC Center for Social, Genetic and Developmental Psychiatry (SGDP), PO46, Institute of Psychiatry, 16 De Crespigny Park, London, SE5 8AF, UK. (Email: [email protected])

Abstract

Background

Serotonin is under-researched in attention deficit hyperactivity disorder (ADHD), despite accumulating evidence for its involvement in impulsiveness and the disorder. Serotonin further modulates temporal discounting (TD), which is typically abnormal in ADHD relative to healthy subjects, underpinned by reduced fronto-striato-limbic activation. This study tested whether a single acute dose of the selective serotonin reuptake inhibitor (SSRI) fluoxetine up-regulates and normalizes reduced fronto-striato-limbic neurofunctional activation in ADHD during TD.

Method

Twelve boys with ADHD were scanned twice in a placebo-controlled randomized design under either fluoxetine (between 8 and 15 mg, titrated to weight) or placebo while performing an individually adjusted functional magnetic resonance imaging TD task. Twenty healthy controls were scanned once. Brain activation was compared in patients under either drug condition and compared to controls to test for normalization effects.

Results

Repeated-measures whole-brain analysis in patients revealed significant up-regulation with fluoxetine in a large cluster comprising right inferior frontal cortex, insula, premotor cortex and basal ganglia, which further correlated trend-wise with TD performance, which was impaired relative to controls under placebo, but normalized under fluoxetine. Fluoxetine further down-regulated default mode areas of posterior cingulate and precuneus. Comparisons between controls and patients under either drug condition revealed normalization with fluoxetine in right premotor-insular-parietal activation, which was reduced in patients under placebo.

Conclusions

The findings show that a serotonin agonist up-regulates activation in typical ADHD dysfunctional areas in right inferior frontal cortex, insula and striatum as well as down-regulating default mode network regions in the context of impulsivity and TD.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

APA (2013). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Publishing: Arlington, VA.Google Scholar
Barrickman, L, Noyes, R, Kuperman, S, Schumacher, E, Verda, M (1991). Treatment of ADHD with fluoxetine: a preliminary trial. Journal of the American Academy of Child and Adolescent Psychiatry 30, 762767.Google Scholar
Bickel, WK, Pitcock, JA, Yi, R, Angtuaco, EJC (2009). Congruence of BOLD response across intertemporal choice conditions: fictive and real money gains and losses. Journal of Neuroscience 29, 88398846.Google Scholar
Brammer, MJ, Bullmore, ET, Simmons, A, Williams, SCR, Grasby, PM, Howard, RJ, Woodruff, PWR, Rabe-Hesketh, S (1997). Generic brain activation mapping in functional magnetic resonance imaging: a nonparametric approach. Magnetic Resonance Imaging 15, 763770.CrossRefGoogle ScholarPubMed
Bridgett, DJ, Walker, ME (2006). Intellectual functioning in adults with ADHD: a meta-analytic examination of full scale IQ differences between adults with and without ADHD. Psychological Assessment 18, 114.Google Scholar
Bullmore, E, Brammer, M, Rabe-Hesketh, S, Curtis, V, Morris, R, Williams, S, Sharma, T, McGuire, P (1999 a). Methods for diagnosis and treatment of stimulus-correlated motion in generic brain activation studies using fMRI. Human Brain Mapping 7, 3848.Google Scholar
Bullmore, E, Long, C, Suckling, J, Fadili, J, Calvert, G, Zelaya, F, Carpenter, TA, Brammer, M (2001). Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Human Brain Mapping 12, 6178.3.0.CO;2-W>CrossRefGoogle ScholarPubMed
Bullmore, ET, Suckling, J, Overmeyer, S, Rabe-Hesketh, S, Taylor, E, Brammer, MJ (1999 b). Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain. Medical Imaging, IEEE Transactions on Medical Imaging 18, 3242.CrossRefGoogle ScholarPubMed
Bymaster, FP, Zhang, W, Carter, PA, Shaw, J, Chernet, E, Phebus, L, Wong, DT, Perry, KW (2002). Fluoxetine, but not other selective serotonin uptake inhibitors, increases norepinephrine and dopamine extracellular levels in prefrontal cortex. Psychopharmacology 160, 353361.Google Scholar
Carter, RM, Meyer, JR, Huettel, SA (2010). Functional neuroimaging of intertemporal choice models. Journal of Neuroscience, Psychology, and Economics 3, 2745.Google Scholar
Chantiluke, K, Barrett, N, Giampietro, V, Brammer, M, Simmons, A, Murphy, DG, Rubia, K (2014 a). Inverse effect of fluoxetine on medial prefrontal cortex activation during reward reversal in ADHD and Autism. Cerebral Cortex 25, 17571770.CrossRefGoogle ScholarPubMed
Chantiluke, K, Barrett, N, Giampietro, V, Brammer, M, Simmons, A, Rubia, K (2014 b). Disorder-dissociated effects of fluoxetine on brain function of working memory in attention deficit hyperactivity disorder and autism spectrum disorder. Psychological Medicine 45, 11951205.CrossRefGoogle ScholarPubMed
Chantiluke, K, Barrett, N, Giampietro, V, Santosh, P, Brammer, M, Simmons, A, Murphy, D, Rubia, K (2014 c). Inverse fluoxetine effects on inhibitory brain activation in non-comorbid boys with ADHD and with ASD. Psychopharmacology 232, 20712082.Google Scholar
Chantiluke, K, Christakou, A, Murphy, CM, Giampietro, V, Daly, EM, Brammer, M, Murphy, DG, Rubia, K (2014 d). Disorder-specific functional abnormalities during temporal discounting in youth with Attention Deficit Hyperactivity Disorder (ADHD), Autism and comorbid ADHD and Autism. Psychiatry Research: Neuroimaging 223, 113120.Google Scholar
Christakou, A, Brammer, M, Giampietro, V, Rubia, K (2009). Right ventromedial and dorsolateral prefrontal cortices mediate adaptive decisions under ambiguity by integrating choice utility and outcome evaluation. Journal of Neuroscience 29, 1102011028.CrossRefGoogle ScholarPubMed
Christakou, A, Brammer, M, Rubia, K (2011). Maturation of limbic corticostriatal activation and connectivity associated with developmental changes in temporal discounting. NeuroImage 54, 13441354.CrossRefGoogle ScholarPubMed
Christakou, A, Gershman, SJ, Niv, Y, Simmons, A, Brammer, M, Rubia, K (2013 a). Neural and psychological maturation of decision-making in adolescence and young adulthood. Journal of Cognitive Neuroscience 25, 18071823.CrossRefGoogle ScholarPubMed
Christakou, A, Murphy, C, Chantiluke, K, Cubillo, A, Smith, A, Giampietro, V, Daly, E, Ecker, C, Robertson, D, Murphy, D (2013 b). Disorder-specific functional abnormalities during sustained attention in youth with attention deficit hyperactivity disorder (ADHD) and with Autism. Molecular Psychiatry 18, 236244.Google Scholar
Conners, CK, Sitarenios, G, Parker, JA, Epstein, J (1998). The revised conners’ parent rating scale (CPRS-R): factor structure, reliability, and criterion validity. Journal of Abnormal Child Psychology 26, 257268.Google Scholar
Cools, R, Nakamura, K, Daw, ND (2011). Serotonin and dopamine: unifying affective, activational, and decision functions. Neuropsychopharmacology 36, 98113.Google Scholar
Cortese, S, Kelly, C, Chabernaud, C, Proal, E, Di Martino, A, Milham, MP, Castellanos, FX (2012). Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies. American Journal of Psychiatry 169, 10381055.Google Scholar
Critchfield, TS, Kollins, SH (2001). Temporal discounting: basic research and the analysis of socially important behavior. Journal of Applied Behavior Analysis 34, 101122.Google Scholar
Cubillo, A, Smith, AB, Barrett, N, Giampietro, V, Brammer, M, Simmons, A, Rubia, K (2014 a). Drug-specific laterality effects on frontal lobe activation of atomoxetine and methylphenidate in attention deficit hyperactivity disorder boys during working memory. Psychological Medicine 44, 633646.CrossRefGoogle ScholarPubMed
Cubillo, A, Smith, AB, Barrett, N, Giampietro, V, Brammer, MJ, Simmons, A, Rubia, K (2014 b). Shared and drug-specific effects of atomoxetine and methylphenidate on inhibitory brain dysfunction in medication-naive ADHD boys. Cerebral Cortex 24, 174185.CrossRefGoogle ScholarPubMed
Dalley, JW, Roiser, JP (2012). Dopamine, serotonin and impulsivity. Neuroscience 215, 4258.CrossRefGoogle ScholarPubMed
Del-Ben, CM, Deakin, JFW, McKie, S, Delvai, NA, Williams, SR, Elliott, R, Dolan, M, Anderson, IM (2005). The effect of citalopram pretreatment on neuronal responses to neuropsychological tasks in normal volunteers: an fMRI study. Neuropsychopharmacology 30, 17241734.Google Scholar
Doya, K (2008). Modulators of decision making. Nature Neuroscience 11, 410416.Google Scholar
Findling, RL (1996). Open-label treatment of comorbid depression and attentional disorders with co-administration of serotonin reuptake inhibitors and psychostimulants in children, adolescents, and adults: a case series. Journal of Child and Adolescent Psychopharmacology 6, 165175.CrossRefGoogle ScholarPubMed
Gainetdinov, RR, Wetsel, WC, Jones, SR, Levin, ED, Jaber, M, Caron, MG (1999). Role of serotonin in the paradoxical calming effect of psychostimulants on hyperactivity. Science 283, 397401.Google Scholar
Gammon, GD, Brown, TE (1993). Fluoxetine and methylphenidate in combination for treatment of attention deficit disorder and comorbid depressive disorder. Journal of Child and Adolescent Psychopharmacology 3, 110.Google Scholar
Gizer, IR, Ficks, C, Waldman, ID (2009). Candidate gene studies of ADHD: a meta-analytic review. Human Genetics 126, 5190.Google Scholar
Goldberg, DP, Murray, R (2006). The Maudsley Handbook of Practical Psychiatry. Oxford University Press: New York.Google Scholar
Goodman, R, Scott, S (1999). Comparing the strengths and difficulties questionnaire and the child behavior checklist: is small beautiful? Journal of Abnormal Child Psychology 27, 1724.Google Scholar
Hart, H, Radua, J, Mataix-Cols, D, Rubia, K (2012). Meta-analysis of fMRI studies of timing in attention-deficit hyperactivity disorder (ADHD). Neuroscience and Biobehavioral Reviews 36, 22482256.Google Scholar
Hart, H, Radua, J, Nakao, T, Mataix-Cols, D, Rubia, K (2013). Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects. JAMA Psychiatry 70, 185198.CrossRefGoogle ScholarPubMed
Hinz, M, Stein, A, Neff, R, Weinberg, R, Uncini, T (2011). Treatment of attention deficit hyperactivity disorder with monoamine amino acid precursors and organic cation transporter assay interpretation. Neuropsychiatric Disease and Treatment 7, 3138.Google Scholar
Kerr, A, Zelazo, PD (2004). Development of ‘hot’ executive function: the children's gambling task. Brain and cognition 55, 148157.Google Scholar
Koch, G, Oliveri, M, Caltagirone, C (2009). Neural networks engaged in milliseconds and seconds time processing: evidence from transcranial magnetic stimulation and patients with cortical or subcortical dysfunction. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 364, 19071918.Google Scholar
Lamar, M, Craig, M, Daly, EM, Cutter, WJ, Tang, C, Brammer, M, Rubia, K, Murphy, DGM (2014). Acute tryptophan depletion promotes an anterior-to-posterior fMRI activation shift during task switching in older adults. Human Brain Mapping 35, 712722.CrossRefGoogle ScholarPubMed
Lamar, M, Cutter, WJ, Rubia, K, Brammer, M, Daly, EM, Craig, MC, Cleare, AJ, Murphy, DGM (2009). 5-HT, prefrontal function and aging: fMRI of inhibition and acute tryptophan depletion. Neurobiology of Aging 30, 11351146.Google Scholar
Lesch, KP, Hoh, A, Schulte, HM, Osterheider, M, Müller, T (1991). Long-term fluoxetine treatment decreases 5-HT1A receptor responsivity in obsessive-compulsive disorder. Psychopharmacology 105, 415420.CrossRefGoogle ScholarPubMed
Long, AB, Kuhn, CM, Platt, ML (2009). Serotonin shapes risky decision making in monkeys. Social Cognitive and Affective Neuroscience 4, 346356.CrossRefGoogle ScholarPubMed
McClure, SM, Laibson, DI, Loewenstein, G, Cohen, JD (2004). Separate neural systems value immediate and delayed monetary rewards. Science 306, 503507.Google Scholar
McGough, JJ, McCracken, JT, Loo, SK, Manganiello, M, Leung, MC, Tietjens, JR, Trinh, T, Baweja, S, Suddath, R, Smalley, SL, Hellemann, G, Sugar, CA (2009). A candidate gene analysis of methylphenidate response in attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry 48, 11551164.CrossRefGoogle ScholarPubMed
Miller, GA, Chapman, JP (2001). Misunderstanding analysis of covariance. Journal of Abnormal Psychology 110, 4048.CrossRefGoogle ScholarPubMed
Mongeau, R, Blier, P, De Montigny, C (1997). The serotonergic and noradrenergic systems of the hippocampus: their interactions and the effects of antidepressant treatments. Brain Research Reviews 23, 145195.CrossRefGoogle ScholarPubMed
Myerson, J, Green, L, Warusawitharana, M (2001). Area under the curve as a measure of discounting. Journal of the Experimental Analysis of Behavior 76, 235243.Google Scholar
Nigg, JT, Willcutt, EG, Doyle, AE, Sonuga-Barke, EJ (2005). Causal heterogeneity in attention-deficit/hyperactivity disorder: do we need neuropsychologically impaired subtypes? Biological Psychiatry 57, 12241230.Google Scholar
Noreika, V, Falter, CM, Rubia, K (2013). Timing deficits in attention-deficit/hyperactivity disorder (ADHD): evidence from neurocognitive and neuroimaging studies. Neuropsychologia 51, 235266.Google Scholar
Norman, L, Carlisi, CO, Lukito, S, Hart, H, Mataix-Cols, D, Radua, J, Rubia, K (2015). Comparative meta-analysis of functional and structural deficits in ADHD and OCD. In: ADHD attention deficit and hyperactivity disorders: 5th World Congress on ADHD: from child to adult disorder, 28–31 May 2015. Glasgow: Springer-Verlag Wien. P-24-008.Google Scholar
Northoff, G, Qin, P, Nakao, T (2010). Rest-stimulus interaction in the brain: a review. Trends in Neurosciences 33, 277284.Google Scholar
Oades, R (2007). The role of the serotonin system in ADHD: treatment implications. Expert Reviews in Neurotherapeutics 7, 13571374.Google Scholar
Oades, R (2008). Dopamine-serotonin interactions in attention-deficit hyperactivity disorder (ADHD). Progress in Brain Research 172, 543565.Google Scholar
Oldfield, RC (1971). The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9, 97113.CrossRefGoogle ScholarPubMed
Peters, J, Büchel, C (2011). The neural mechanisms of inter-temporal decision-making: understanding variability. Trends in Cognitive Sciences 15, 227239.CrossRefGoogle ScholarPubMed
Plichta, MM, Vasic, N, Wolf, RC, Lesch, K-P, Brummer, D, Jacob, C, Fallgatter, AJ, Grön, G (2009). Neural hyporesponsiveness and hyperresponsiveness during immediate and delayed reward processing in adult attention-deficit/hyperactivity disorder. Biological Psychiatry 65, 714.Google Scholar
Polanczyk, GV, Willcutt, EG, Salum, GA, Kieling, C, Rohde, LA (2014). ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. International Journal of Epidemiology 43, 434442.Google Scholar
Quintana, H, Butterbaugh, G, Purnell, W, Layman, A (2007). Fluoxetine monotherapy in attention-deficit/hyperactivity disorder and comorbid non-bipolar mood disorders in children and ddolescents. Child Psychiatry and Human Development 37, 241253.Google Scholar
Radua, J, Pozo, NOd, Gómez, J, Guillen-Grima, F, Ortuño, F (2014). Meta-analysis of functional neuroimaging studies indicates that an increase of cognitive difficulty during executive tasks engages brain regions associated with time perception. Neuropsychologia 58, 1422.Google Scholar
Richards, JB, Mitchell, SH, de Wit, H, Seiden, LS (1997). Determination of discount functions in rats with an adjusting-amount procedure. Journal of the Experimental Analysis of Behavior 67, 353366.CrossRefGoogle ScholarPubMed
Richards, JB, Zhang, L, Mitchell, SH, Wit, H (1999). Delay or probability discounting in a model of impulsive behavior: effect of alcohol. Journal of the Experimental Analysis of Behavior 71, 121143.Google Scholar
Robinson, O, Cools, R, Sahakian, B (2012). Tryptophan depletion disinhibits punishment but not reward prediction: implications for resilience. Psychopharmacology 219, 599605.Google Scholar
Rogers, RD (2011). The roles of dopamine and serotonin in decision making: evidence from pharmacological experiments in humans. Neuropsychopharmacology 36, 114132.Google Scholar
Rommelse, NJ, Franke, B, Geurts, H, Hartman, C, Buitelaar, J (2010). Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder. European Child and Adolescent Psychiatry 19, 281295.Google Scholar
Rubia, K (2011). ‘Cool’ inferior frontostriatal dysfunction in attention-deficit/hyperactivity disorder versus ‘Hot’ ventromedial orbitofrontal-limbic dysfunction in conduct disorder: a review. Biological Psychiatry 69, e69e87.Google Scholar
Rubia, K, Alegria, A, Brinson, H (2014 a). Imaging the ADHD brain: disorder-specificity, medication effects and clinical translation. Expert Review of Neurotherapeutics 14, 519538.CrossRefGoogle ScholarPubMed
Rubia, K, Alegria, AA, Cubillo, AI, Smith, AB, Brammer, MJ, Radua, J (2014 b). Effects of stimulants on brain function in attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Biological Psychiatry 76, 616628.Google Scholar
Rubia, K, Halari, R, Christakou, A, Taylor, E (2009). Impulsiveness as a timing disturbance: neurocognitive abnormalities in attention-deficit hyperactivity disorder during temporal processes and normalization with methylphenidate. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 364, 19191931.Google Scholar
Rubia, K, Lee, F, Cleare, AJ, Tunstall, N, Fu, CH, Brammer, M, McGuire, P (2005). Tryptophan depletion reduces right inferior prefrontal activation during response inhibition in fast, event-related fMRI. Psychopharmacology 179, 791803.Google Scholar
Rutter, M, Bailey, A, Lord, C (2003). The Social Communication Questionnaire: Manual. Western Psychological Services: Los Angeles.Google Scholar
Scheres, A, Dijkstra, M, Ainslie, E, Balkan, J, Reynolds, B, Sonuga-Barke, E, Castellanos, FX (2006). Temporal and probabilistic discounting of rewards in children and adolescents: effects of age and ADHD symptoms. Neuropsychologia 44, 20922103.CrossRefGoogle ScholarPubMed
Scheres, A, Tontsch, C, Thoeny, AL, Kaczkurkin, A (2010). Temporal reward discounting in attention-deficit/hyperactivity disorder: the contribution of symptom domains, reward magnitude, and session length. Biological Psychiatry 67, 641648.Google Scholar
Schweighofer, N, Bertin, M, Shishida, K, Okamoto, Y, Tanaka, SC, Yamawaki, S, Doya, K (2008). Low-serotonin levels increase delayed reward discounting in humans. Journal of Neuroscience 28, 45284532.Google Scholar
Schweighofer, N, Tanaka, SC, Doya, K (2007). Serotonin and the evaluation of future rewards. Annals of the New York Academy of Sciences 1104, 289300.Google Scholar
Smith, A, Cubillo, A, Barrett, N, Giampietro, V, Simmons, A, Brammer, M, Rubia, K (2013). Neurofunctional effects of methylphenidate and atomoxetine in boys with attention-deficit/hyperactivity disorder during time discrimination. Biological Psychiatry 74, 615622.CrossRefGoogle ScholarPubMed
Sonuga-Barke, E (2003). The dual pathway model of AD/HD: an elaboration of neuro-developmental characteristics. Neuroscience and Biobehavioral Reviews 27, 593604.Google Scholar
Sonuga-Barke, E, Bitsakou, P, Thompson, M (2010). Beyond the dual pathway model: evidence for the dissociation of timing, inhibitory, and delay-related impairments in attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry 49, 345355.Google ScholarPubMed
Sonuga-Barke, E, Taylor, E, Sembi, S, Smith, J (1992). Hyperactivity and delay aversion—I. The effect of delay on choice. Journal of Child Psychology and Psychiatry 33, 387398.Google Scholar
Spivak, B, Vered, Y, Yoran-Hegesh, R, Averbuch, E, Mester, R, Graf, E, Weizman, A (1999). Circulatory levels of catecholamines, serotonin and lipids in attention deficit hyperactivity diiorder. Acta Psychiatrica Scandinavica 99, 300304.Google Scholar
Tanaka, SC, Schweighofer, N, Asahi, S, Shishida, K, Okamoto, Y, Yamawaki, S, Doya, K (2007). Serotonin differentially regulates short- and long-term prediction of rewards in the ventral and dorsal striatum. PLoS ONE 2, e1333.Google Scholar
Toplak, ME, Sorge, GB, Benoit, A, West, RF, Stanovich, KE (2010). Decision-making and cognitive abilities: a review of associations between Iowa Gambling Task performance, executive functions, and intelligence. Clinical Psychology Review 30, 562581.CrossRefGoogle ScholarPubMed
Wechsler, D (1999). Wechsler Abbreviated Scale of Intelligence. Psychological Corporation: San Antonio, TX.Google Scholar
Wesley, MJ, Bickel, WK (2014). Remember the future II: meta-analyses and functional overlap of working memory and delay discounting. Biological Psychiatry 75, 435448.CrossRefGoogle ScholarPubMed
Wiener, M, Turkeltaub, P, Coslett, HB (2010). The image of time: a voxel-wise meta-analysis. NeuroImage 49, 17281740.Google Scholar
Willcutt, E, Sonuga-Barke, E, Nigg, J, Sergeant, J (2008). Recent developments in neuropsychological models of childhood psychiatric disorders. Biological Child Psychiatry 24, 195226.CrossRefGoogle Scholar
Wittmann, M, Leland, D, Paulus, M (2007). Time and decision making: differential contribution of the posterior insular cortex and the striatum during a delay discounting task. Experimental Brain Research 179, 643653.Google Scholar
Wong, DT, Bymaster, FP, Engleman, EA (1995). Prozac (fluoxetine, lilly 110140), the first selective serotonin uptake inhibitor and an antidepressant drug: twenty years since its first publication. Life Sciences 57, 411441.Google Scholar
Xu, L, Liang, Z-Y, Wang, K, Li, S, Jiang, T (2009). Neural mechanism of intertemporal choice: from discounting future gains to future losses. Brain Research 1261, 6574.Google Scholar
Zepf, FD, Gaber, TJ, Baurmann, D, Bubenzer, S, Konrad, K, Herpertz-Dahlmann, B, Stadler, C, Poustka, F, Wöckel, L (2010). Serotonergic neurotransmission and lapses of attention in children and adolescents with attention deficit hyperactivity disorder: availability of tryptophan influences attentional performance. The International Journal of Neuropsychopharmacology 13, 933941.Google Scholar
Supplementary material: File

Carlisi supplementary material

Carlisi supplementary material 1

Download Carlisi supplementary material(File)
File 313.9 KB