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Weak impacts of neuropsychological measures on symptoms of attention deficit hyperactivity disorder in university students

Published:September 15, 2022DOI:https://doi.org/10.1016/j.braindev.2022.08.006

      Abstract

      Objective

      Attention deficit hyperactivity disorder (ADHD) is involved in broad neuropsychological domains, including response inhibition, timing, delay aversion, sustained attention, and working memory. This study aimed to examine the relationship between ADHD symptoms and neuropsychological measures in university students.

      Methods

      A total of 167 graduate and undergraduate students participated in the study. Neuropsychological characteristics were comprehensively assessed using stop signal, delay discounting, time discrimination, sensorimotor synchronization, continuous performance, and digit span tasks. ADHD symptoms were assessed using the Japanese version of Conners’ ADHD Rating Scale.

      Results

      ADHD symptoms were significantly correlated with some neuropsychological measures, such as the false alarm rate in the continuous performance task; however, these correlations were not strong. In the multiple regression analyses, models including neuropsychological measures were significantly associated with ADHD symptoms, but the coefficients of determination ranged from 0.06 to 0.08. Thus, most of the variance in ADHD symptoms was not explained by neuropsychological measures.

      Conclusion

      These findings suggest that the impact of each neuropsychological measure on ADHD symptoms was weak in university students, and ADHD symptoms cannot be explained by neuropsychological characteristics, which are currently considered core characteristics of ADHD. In addition, ADHD symptoms assessed by self-rating questionnaire in the non-clinical sample might not reflect the degree of real ADHD severity.

      Keywords

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      References

        • American Psychiatric Association
        Diagnostic and statistical manual of mental disorders, fifth edition (DSM-5®).
        American Psychiatric Pub, Washington, DC2013
        • Taylor E.
        Development of the concept.
        in: Banaschewski T. Coghill D.R. Zuddas A. Oxford textbook of attention deficit hyperactivity disorder. Oxford University Press, Oxford2018
        • Barkley R.A.
        Behavioral inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD.
        Psychol Bull. 1997; 121: 65-94https://doi.org/10.1037/0033-2909.121.1.65
        • Lipszyc J.
        • Schachar R.
        Inhibitory control and psychopathology: a meta-analysis of studies using the stop signal task.
        J Int Neuropsychol Soc. 2010; 16: 1064-1076https://doi.org/10.1017/S1355617710000895
        • Sonuga-Barke E.
        Psychological heterogeneity in AD/HD—a dual pathway model of behaviour and cognition.
        Behav Brain Res. 2002; 130: 29-36https://doi.org/10.1016/s0166-4328(01)00432-6
        • Sonuga-Barke E.
        • Bitsakou P.
        • Thompson M.
        Beyond the dual pathway model: evidence for the dissociation of timing, inhibitory, and delay-related impairments in attention-deficit/hyperactivity disorder.
        J Am Acad Child Adolesc Psychiatry. 2010; 49: 345-355https://doi.org/10.1016/j.jaac.2009.12.018
        • Marx I.
        • Hacker T.
        • Yu X.
        • Cortese S.
        • Sonuga-Barke E.
        ADHD and the choice of small immediate over larger delayed rewards: a comparative meta-analysis of performance on simple choice-delay and temporal discounting paradigms.
        J Atten Disord. 2021; 25: 171-187https://doi.org/10.1177/1087054718772138
        • Noreika V.
        • Falter C.M.
        • Rubia K.
        Timing deficits in attention-deficit/hyperactivity disorder (ADHD): Evidence from neurocognitive and neuroimaging studies.
        Neuropsychologia. 2013; 51: 235-266https://doi.org/10.1016/j.neuropsychologia.2012.09.036
        • Zheng Q.
        • Wang X.
        • Chiu K.Y.
        • Shum K.K.-M.
        Time perception deficits in children and adolescents with ADHD: A meta-analysis.
        J Atten Disord. 2022; 26: 267-281https://doi.org/10.1177/1087054720978557
        • Hove M.J.
        • Gravel N.
        • Spencer R.
        • Valera E.M.
        Finger tapping and pre-attentive sensorimotor timing in adults with ADHD.
        Exp Brain Res. 2017; 235: 3663-3672https://doi.org/10.1007/s00221-017-5089-y
        • Valera E.M.
        • Spencer R.M.C.
        • Zeffiro T.A.
        • Makris N.
        • Spencer T.J.
        • Faraone S.V.
        • et al.
        Neural substrates of impaired sensorimotor timing in adult attention-deficit/hyperactivity disorder.
        Biol Psychiatry. 2010; 68: 359-367
        • Epstein J.N.
        • Erkanli A.
        • Conners C.K.
        • Klaric J.
        • Costello J.E.
        • Angold A.
        Relations between continuous performance test performance measures and ADHD behaviors.
        J Abnorm Child Psychol. 2003; 31: 543-554https://doi.org/10.1023/a:1025405216339
        • Riccio C.A.
        • Reynolds C.R.
        • Lowe P.
        • Moore J.J.
        The continuous performance test: a window on the neural substrates for attention?.
        Arch Clin Neuropsychol. 2002; 17: 235-272https://doi.org/10.1093/arclin/17.3.235
        • Mowinckel A.M.
        • Pedersen M.L.
        • Eilertsen E.
        • Biele G.
        A meta-analysis of decision-making and attention in adults with ADHD.
        J Atten Disord. 2015; 19: 355-367https://doi.org/10.1177/1087054714558872
        • Bálint S.
        • Czobor P.
        • Komlósi S.
        • Meszaros A.
        • Simon V.
        • Bitter I.
        Attention deficit hyperactivity disorder (ADHD): gender-and age-related differences in neurocognition.
        Psychol Med. 2009; 39: 1337-1345https://doi.org/10.1017/S0033291708004236
        • Cowan N.
        The many faces of working memory and short-term storage.
        Psychon Bull Rev. 2017; 24: 1158-1170https://doi.org/10.3758/s13423-016-1191-6
        • Oberauer K.
        Working memory and attention—A conceptual analysis and review.
        J Cogn. 2019; 2: 36
        • Wechsler D.
        Wechsler adult intelligence scale-fourth edition (WAIS-IV).
        Pearson, London2008
        • Alderson R.M.
        • Kasper L.J.
        • Hudec K.L.
        • Patros C.H.
        Attention-deficit/hyperactivity disorder (ADHD) and working memory in adults: a meta-analytic review.
        Neuropsychology. 2013; 27: 287-302https://doi.org/10.1037/a0032371
      1. Suzuki K. An umbrella review of behavioral indices for attention-deficit/hyperactivity disorder: psychological characteristics and heterogeneity. Japanese Psychol Rev. 2022, in press. Japanese.

        • Coghill D.R.
        • Seth S.
        • Matthews K.
        A comprehensive assessment of memory, delay aversion, timing, inhibition, decision making and variability in attention deficit hyperactivity disorder: advancing beyond the three-pathway models.
        Psychol Med. 2014; 44: 1989-2001https://doi.org/10.1017/S0033291713002547
        • Sjöwall D.
        • Roth L.
        • Lindqvist S.
        • Thorell L.B.
        Multiple deficits in ADHD: executive dysfunction, delay aversion, reaction time variability, and emotional deficits.
        J Child Psychol Psychiatry. 2013; 54: 619-627https://doi.org/10.1111/jcpp.12006
        • Mostert J.C.
        • Onnink A.M.H.
        • Klein M.
        • Dammers J.
        • Harneit A.
        • Schulten T.
        • et al.
        Cognitive heterogeneity in adult attention deficit/hyperactivity disorder: a systematic analysis of neuropsychological measurements.
        Eur Neuropsychopharmacol. 2015; 25: 2062-2074
        • Li T.
        • Mota N.R.
        • Galesloot T.E.
        • Bralten J.
        • Buitelaar J.K.
        • IntHout J.
        • et al.
        ADHD symptoms in the adult general population are associated with factors linked to ADHD in adult patients.
        Eur Neuropsychopharmacol. 2019; 29: 1117-1126
        • Conners C.K.
        • Erhardt D.
        • Sparrow E.
        Conners' Adult ADHD Rating Scales.
        Multi-Health Systems Inc., Tronto1998
        • Someki F.
        • Ohnishi M.
        • Vejdemo-Johansson M.
        • Nakamura K.
        Reliability, validity, factor structure, and measurement invariance of the Japanese conners’ adult ADHD rating scales (CAARS).
        J Psychoeduc Assess. 2020; 38: 337-349https://doi.org/10.1177/0734282919842030
        • Wakabayashi A.
        • Tojo Y.
        • Baron-Cohen S.
        • Wheelwright S.
        The Autism-Spectrum Quotient (AQ) Japanese version: evidence from high-functioning clinical group and normal adults.
        Shinrigaku Kenkyu. 2004; 75 (Japanese): 78-84
        • Baron-Cohen S.
        • Wheelwright S.
        • Skinner R.
        • Martin J.
        • Clubley E.
        The autism-spectrum quotient (AQ): Evidence from asperger syndrome/high-functioning autism, malesand females, scientists and mathematicians.
        J Autism Dev Disord. 2001; 31: 5-17https://doi.org/10.1023/a:1005653411471
        • Brainard D.H.
        • Vision S.
        The psychophysics toolbox.
        Spat Vis. 1997; 10: 433-436https://doi.org/10.1163/156856897x00357
        • Pelli D.G.
        • Vision S.
        The VideoToolbox software for visual psychophysics: transforming numbers into movies.
        Spat Vis. 1997; 10: 437-442https://doi.org/10.1163/156856897X00366
        • Verbruggen F.
        • Logan G.D.
        • Stevens M.A.
        STOP-IT: Windows executable software for the stop-signal paradigm.
        Behav Res Methods. 2008; 40: 479-483https://doi.org/10.3758/brm.40.2.479
        • Hurst R.M.
        • Kepley H.O.
        • McCalla M.K.
        • Livermore M.K.
        Internal consistency and discriminant validity of a delay-discounting task with an adult self-reported ADHD sample.
        J Atten Disord. 2011; 15: 412-422https://doi.org/10.1177/1087054710365993
        • Smith A.
        • Taylor E.
        • Warner Rogers J.
        • Newman S.
        • Rubia K.
        Evidence for a pure time perception deficit in children with ADHD.
        J Child Psychol Psychiatry. 2002; 43: 529-542https://doi.org/10.1111/1469-7610.00043
        • Rubia K.
        • Noorloos J.
        • Smith A.
        • Gunning B.
        • Sergeant J.
        Motor timing deficits in community and clinical boys with hyperactive behavior: the effect of methylphenidate on motor timing.
        J Abnorm Child Psychol. 2003; 31: 301-313https://doi.org/10.1023/a:1023233630774
        • Huang-Pollock C.L.
        • Karalunas S.L.
        • Tam H.
        • Moore A.N.
        Evaluating vigilance deficits in ADHD: a meta-analysis of CPT performance.
        J Abnorm Psychol. 2012; 121: 360-372https://doi.org/10.1037/a0027205
        • Bandalos D.L.
        • Finney S.J.
        Factor analysis.
        in: Hancock G.R. Stapleton L.M. Mueller R.O. The reviewer's guide to quantitative methods in the social sciences. Routledge, New York2019: 98-122
        • Ihaka R.
        • Gentleman R.
        R: a language for data analysis and graphics.
        J Comput Graph Stat. 1996; 5: 299-314https://doi.org/10.2307/1390807
        • Metin B.
        • Roeyers H.
        • Wiersema J.R.
        • van der Meere J.
        • Sonuga-Barke E.
        A meta-analytic study of event rate effects on Go/No-Go performance in attention-deficit/hyperactivity disorder.
        Biol Psychiatry. 2012; 72: 990-996https://doi.org/10.1016/j.biopsych.2012.08.023