Cognitive Profiling of Children and Adolescents with ADHD Using the WISC-IV
Open accessAbstract
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder characterised by cognitive and behavioural impairments. This study aimed to identify cognitive patterns associated with ADHD in a sample of 719 children and adolescents (363 with ADHD and 356 controls) assessed using the Wechsler Intelligence Scale for Children—Fourth Edition (WISC-IV). Compared to controls, the clinical group exhibited significantly lower scores in the Working Memory Index (WMI), Processing Speed Index (PSI), and Cognitive Proficiency Index (CPI). No significant group differences were found in Verbal Comprehension (VCI) or Perceptual Reasoning (PRI) after controlling for age and sex. Factorial MANOVA results revealed that WMI, PSI, and CPI deficits remained stable across age groups and were more pronounced in males. Females with ADHD outperformed males in PSI. A binary logistic regression model including WISC-IV core indices classified VCI, PRI, WMI, and PSI with a Nagelkerke R2 of 0.44 as significant predictors of group membership, indicating that lower scores in WMI and PSI, and higher scores in VCI and PRI, increased the likelihood of ADHD classification. These findings reinforce the use of the WISC-IV as a complementary tool in the cognitive characterisation and clinical assessment of ADHD in youth.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The role of the CPI as a predictor of clinical-group membership and a discriminator between presentations makes it a particularly useful indicator when behavioral symptomatology is ambiguous or when discrepancies arise between informants.
“Likewise, the role of the CPI as a predictor of clinical-group membership and a discriminator between presentations makes it a particularly useful indicator when behavioral symptomatology is ambiguous or when discrepancies arise between informants (family-school) [29, 57].”
From ADHD, Subtypes and Cognitive Performance: WISC-V as a Support Tool for Diagnostic Assessment (2026) · cites this paper as [29]
Results §§3.2 and 3.6.2 report lower CPI scores in the ADHD group, and the Discussion describes WISC-IV assessment as a complement to subjective parent and teacher observations. But the clinical-group prediction model in §3.5 used WMI and PSI, not CPI as a separate predictor. The paper does not show that CPI discriminates between ADHD presentations or assess its usefulness when symptoms are ambiguous or informants disagree. (LLM, conf=0.86)
Experimental — accuracy not yet measuredResults showed higher GAI scores and lower CPI scores (GAI > CPI) in ADHD.
“Consistently, the results showed higher GAI scores and lower CPI scores (GAI > CPI) [27, 29].”
From ADHD, Subtypes and Cognitive Performance: WISC-V as a Support Tool for Diagnostic Assessment (2026) · cites this paper as [29]
Scores on the Verbal Comprehension Index (VCI) and Perceptual Reasoning Index (PRI) generally remain within typical ranges in ADHD.
“In contrast, scores on the Verbal Comprehension Index (VCI) and the Perceptual Reasoning Index (PRI), indicators of conceptual reasoning and efficiency in visuospatial processing, generally remain within typical ranges [21, 27, 28, 29].”
From ADHD, Subtypes and Cognitive Performance: WISC-V as a Support Tool for Diagnostic Assessment (2026) · cites this paper as [29]
The CPI composite index showed the strongest group difference of all indices examined, consistent with recent studies highlighting its usefulness as a concise summary of cognitive deficits in ADHD.
“Moreover, the CPI composite index showed the strongest group difference of all indices examined, consistent with recent studies highlighting its usefulness as a concise summary of the cognitive deficits typically observed in ADHD [29, 51].”
From ADHD, Subtypes and Cognitive Performance: WISC-V as a Support Tool for Diagnostic Assessment (2026) · cites this paper as [29]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2022) · doi:10.1176/appi.books.9780890425787 · Cited by 23,476 · see citing works
The Strengths and Difficulties Questionnaire: A research note
Goodman, R. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01545.x · Cited by 14,908 · see citing works
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268 · see citing works
Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., & Pennington, B. F. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.02.006 · Cited by 3,568 · see citing works
Wechsler Intelligence Scale for Children, Fourth Edition
Wechsler, D. (2012) · PsycTESTS Dataset · doi:10.1037/t15174-000 · Cited by 1,577 · see citing works
Faraone, S. V., Banaschewski, T., Coghill, D., Zheng, Y., Biederman, J., Bellgrove, M. A., Newcorn, J. H., Gignac, M., Al Saud, N. M., Manor, I., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.022 · Cited by 1,545 · cited 9× · see citing works
“This is also illustrated by another meta-analysis involving more than 8200 children and adolescents with ADHD, which found deficits in WM decreased with age (Ramos et al., 2019; Faraone et al., 2021).”
InfluentialDanielson, M. L., Bitsko, R. H., Ghandour, R. M., Holbrook, J. R., Kogan, M. D., & Blumberg, S. J. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2017.1417860 · Cited by 1,181 · see citing works
The neuroscience of human intelligence differences
Deary, I. J., Penke, L., & Johnson, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2793 · Cited by 1,038 · see citing works
ADHD Comorbidity Findings From the MTA Study: Comparing Comorbid Subgroups
JENSEN, P. S., HINSHAW, S. P., KRAEMER, H. C., LENORA, N., NEWCORN, J. H., ABIKOFF, H. B., MARCH, J. S., ARNOLD, L. E., CANTWELL, D. P., CONNERS, C. K., et al. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200102000-00009 · Cited by 974 · cited 1× · see citing works
“…emotional dysregulation, and executive function deficits often overlap with manifestations of other neurodevelopmental conditions, anxiety disorders, oppositional defiant disorder (ODD) and mood disorders (American Psychiatric Association, 2022; Faraone et al., 2021; Jensen et al., 2001).”
Attention-deficit hyperactivity disorder
Posner, J., Polanczyk, G. V., & Sonuga-Barke, E. (2020) · The Lancet · doi:10.1016/s0140-6736(19)33004-1 · Cited by 835 · see citing works
Young, S., Adamo, N., Ásgeirsdóttir, B. B., Branney, P., Beckett, M., Colley, W., Cubbin, S., Deeley, Q., Farrag, E., Gudjonsson, G., et al. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02707-9 · Cited by 610 · see citing works
Ayano, G., Demelash, S., Gizachew, Y., Tsegay, L., & Alati, R. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.07.071 · Cited by 511 · see citing works
Development and self-regulatory structures of the mind
Cicchetti, D., & Tucker, D. (1994) · Development and Psychopathology · doi:10.1017/s0954579400004673 · Cited by 429 · see citing works
The neurocognitive profile of attention-deficit/hyperactivity disorder: a review of meta-analyses
Pievsky, M. A., & McGrath, R. E. (2018) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acx055 · Cited by 401 · see citing works
Perspectives on developmental psychopathology.
Cicchetti, D., & Cohen, D. J. (1995) · Cited by 331 · see citing works
Wechsler Intelligence Scale for Children – Fourth UK Edition (WISC-IV UK)
Wechsler, D. (2004) · doi:10.53841/bpstest.2004.wisc4 · Cited by 306 · see citing works
ADHD Rating Scale-IV: School Checklist
DuPaul, G. J., Power, T. J., Anastopoulos, A. D., & Reid, R. (2018) · PsycTESTS Dataset · doi:10.1037/t00680-000 · Cited by 297 · see citing works
Conduct Disorder and Hyperactivity: I
Taylor, E., Everitt, B. J., Ruttermd, M. L., Thorley, G., Schachar, R. J., & Wieselberg, M. (1986) · The British Journal of Psychiatry · doi:10.1192/bjp.149.6.760 · Cited by 294 · see citing works
Berry, C. A., Shaywitz, S. E., & Shaywitz, B. A. (1985) · PEDIATRICS · doi:10.1542/peds.76.5.801 · Cited by 262 · cited 1× · see citing works
“As a result, it has been suggested that females with ADHD are more likely to be underdiagnosed compared to males with the disorder (Berry et al., 1985, as cited in Ayano et al., 2023).”
Fadus, M. C., Ginsburg, K. R., Sobowale, K., Halliday‐Boykins, C. A., Bryant, B. E., Gray, K. M., & Squeglia, L. M. (2019) · Academic Psychiatry · doi:10.1007/s40596-019-01127-6 · Cited by 250 · see citing works
Attention deficit hyperactivity disorder and suicide: a review of possible associations
James, A., Lai, F. H., & Dahl, C. (2004) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2004.00384.x · Cited by 224 · see citing works
Meta-Analysis of Sex Differences in ADHD Symptoms and Associated Cognitive Deficits
Loyer Carbonneau, M., Demers, M., Bigras, M., & Guay, M.-C. (2021) · Journal of Attention Disorders · doi:10.1177/1087054720923736 · Cited by 156 · see citing works
The Relationship Between Executive Function Deficits and <i>DSM</i> -5-Defined ADHD Symptoms
Silverstein, M. J., Faraone, S. V., Leon, T. L., Biederman, J., Spencer, T. J., & Adler, L. A. (2020) · Journal of Attention Disorders · doi:10.1177/1087054718804347 · Cited by 143 · see citing works
(2016) · doi:10.1037/t05638-000 · Cited by 142 · see citing works
ADHD Diagnostic Trends: Increased Recognition or Overdiagnosis?
Abdelnour, E., Jansen, M. O., & Gold, J. A. (2022) · PubMed Central · Cited by 132 · see citing works
Adler, L. A., Faraone, S. V., Spencer, T. J., Berglund, P., Alperin, S., & Kessler, R. C. (2017) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1555 · Cited by 128 · cited 1× · see citing works
“When ADHD persists into adulthood, it may result in lower socioeconomic status, occupational instability, and other difficulties in daily life, particularly in the absence of treatment (Adler et al., 2017).”
A meta-analysis on verbal working memory in children and adolescents with ADHD
Ramos, A. A., Hamdan, A. C., & Machado, L. (2020) · The Clinical Neuropsychologist · doi:10.1080/13854046.2019.1604998 · Cited by 125 · see citing works
The Internal Restlessness Scale
Weyandt, L. L., Iwaszuk, W., Fulton, K., Ollerton, M., Beatty, N., Fouts, H. N., Schepman, S., & Greenlaw, C. (2003) · Journal of Learning Disabilities · doi:10.1177/00222194030360040801 · Cited by 124 · see citing works
WISC-IV Profiles Are Associated With Differences in Symptomatology and Outcome in Children With ADHD
Thaler, N. S., Bello, D. T., & Etcoff, L. M. (2013) · Journal of Attention Disorders · doi:10.1177/1087054711428806 · Cited by 112 · cited 4× · see citing works
“This supports previous research indicating substantial differences in the clinical manifestation of ADHD between males and females (Abdelnour et al., 2022; Thaler et al., 2013; Young et al., 2020).”
InfluentialWorking memory and short-term memory deficits in ADHD: A bifactor modeling approach
Kofler, M. J., Singh, L. J., Soto, E. F., Chan, E. S. M., Miller, C. E., Harmon, S. L., & Spiegel, J. A. (2020) · Neuropsychology · doi:10.1037/neu0000641 · Cited by 101 · cited 2× · see citing works
“…cognitive flexibility, and working memory (WM), as well as related domains including visuospatial skills, sustained attention (vigilance), and processing speed (PS) (Kofler et al., 2020; Navarro-Soria et al., 2024; Fenollar-Cortés et al., 2015; Silverstein et al., 2020; Townes et al., 2023).”
Zhu, F., Zhu, X., Bi, X., Kuang, D., Liu, B., Zhou, J., Yang, Y., & Ren, Y. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1133727 · Cited by 89 · see citing works
Executive Function Training for Children with Attention Deficit Hyperactivity Disorder
Shuai, L., Daley, D., Wang, Y., Zhang, J., Kong, Y., Tan, X., & Ji, N. (2017) · Chinese Medical Journal · doi:10.4103/0366-6999.200541 · Cited by 86 · see citing works
The association of ADHD symptoms to self-harm behaviours: a systematic PRISMA review
Allely, C. S. (2014) · BMC Psychiatry · doi:10.1186/1471-244x-14-133 · Cited by 82 · see citing works
Townes, P., Liu, C., Panesar, P., Devoe, D., Lee, S. Y., Taylor, G., Arnold, P. D., Crosbie, J., & Schachar, R. (2023) · Journal of Attention Disorders · doi:10.1177/10870547231190494 · Cited by 75 · cited 3× · see citing works
“These findings are directly related to the deficits observed in executive functions, one of the most affected cognitive domains in individuals with ADHD (Navarro-Soria et al., 2020; Schreiber et al., 2014; Silverstein et al., 2020; Townes et al., 2023).”
Schreiber, J. E., Possin, K. L., Girard, J. M., & Rey-Casserly, C. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713001100 · Cited by 68 · cited 2× · see citing works
“These findings are directly related to the deficits observed in executive functions, one of the most affected cognitive domains in individuals with ADHD (Navarro-Soria et al., 2020; Schreiber et al., 2014; Silverstein et al., 2020; Townes et al., 2023).”
Distinct brain structure and behavior related to ADHD and conduct disorder traits
Bayard, F., Nymberg Thunell, C., Abé, C., Almeida, R., Banaschewski, T., Barker, G., Bokde, A. L. W., Bromberg, U., Büchel, C., Quinlan, E. B., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0202-6 · Cited by 67 · see citing works
Which Components of Processing Speed are Affected in ADHD Subtypes?
Kibby, M. Y., Vadnais, S. A., & Jagger-Rickels, A. C. (2019) · Child Neuropsychology · doi:10.1080/09297049.2018.1556625 · Cited by 51 · see citing works
Morales-Hidalgo, P., Hernández‐Martínez, C., Vera, M., Voltas, N., & Canals, J. (2016) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2016.07.003 · Cited by 48 · see citing works
Friedman, L. M., Rapport, M. D., Orban, S. A., Eckrich, S. J., & Calub, C. A. (2017) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-017-0312-7 · Cited by 47 · see citing works
Fenollar-Cortés, J., Navarro-Soria, I., González-Gómez, C., & García-Sevilla, J. (2014) · Revista de Psicodidactica / Journal of Psychodidactics · doi:10.1387/revpsicodidact.12531 · Cited by 39 · see citing works
Self-citationSkarphedinsson, G., Jarbin, H., Andersson, M., & Ivarsson, T. (2021) · PLOS ONE · doi:10.1371/journal.pone.0254953 · Cited by 29 · see citing works
Structural Brain Changes and Associated Symptoms of ADHD Subtypes in Children.
Mu, S., Wu, H., Zhang, J., & Chang, C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab276 · Cited by 29 · see citing works
Cheng, S., Coghill, D., & Zendarski, N. J. (2022) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2022.104180 · Cited by 28 · see citing works
Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence
Sória, I. N., Rico-Juan, J. R., de Mier, R. J.-R., & Lavigne-Cerván, R. (2024) · Applied Neuropsychology Child · doi:10.1080/21622965.2024.2336019 · Cited by 17 · see citing works
Fenollar-Cortés, J., López-Pinar, C., & Watkins, M. W. (2018) · International Journal of School & Educational Psychology · doi:10.1080/21683603.2018.1474820 · Cited by 14 · see citing works
McLuckie, A., Landers, A. L., Rowbotham, M., Landine, J., Schwartz, M., & Ng, D. (2018) · Journal of Attention Disorders · doi:10.1177/1087054718756196 · Cited by 14 · see citing works
The typical and atypical developing mind: a common model
Δημητρίου, Α., Spanoudis, G. C., & Papadopoulos, T. C. (2024) · Development and Psychopathology · doi:10.1017/s0954579424000944 · Cited by 13 · see citing works
Validation of a Spanish-language version of the ADHD Rating Scale IV in a Spanish sample
Vallejo-Valdivielso, M., Soutullo, C. A., de Castro‐Manglano, P., Marín-Méndez, J. J., & Díez‐Suárez, A. (2019) · Neurología (English Edition) · doi:10.1016/j.nrleng.2017.05.007 · Cited by 12 · see citing works
Dinçer, M., Gökçe, F. S., Gül, H., Torun, Y. T., Bodur, Ş., & Cöngöloğlu, M. A. (2022) · Journal of Attention Disorders · doi:10.1177/10870547221099963 · Cited by 9 · see citing works
Navarro-Soria, I., Fenollar, J., Carbonell, J., & Real, M. (2020) · Revista de Psicología Clínica con Niños y Adolescentes · doi:10.21134/rpcna.2020.07.1.3 · Cited by 8 · see citing works
A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools
Han, D., Fang, Y., & Hong, L. (2020) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s245636 · Cited by 6 · see citing works
Nafi, O., Shahin, A., Tarawneh, A., & Samhan, Z. (2020) · Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit · doi:10.26719/emhj.20.032 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- Barkley E. A. Sample chapter: Attention-deficit hyperactivity disorder, fourth edition: A handbook for diagnosis and treatment 2015 Available online: www.guilford.com/p/barkley2 (accessed on 24 February 2025)
- Cohen J. Statistical power analysis for the behavioral sciences Academic Press 1969
- DuPaul G. J. Power T. J. Anastopoulos A. D. Reid R. ADHD rating scale—IV: Checklists, norms, and clinical interpretation The Guilford Press 1998
- Servera M. Cardo E. ADHD Rating Scale-IV in a sample of Spanish schoolchidren: Normative data and internal consistency for teachers and parents Revista de Neurología 2007 45 7 393 399 17918104
Cited by
Sorted by citations
ADHD, Subtypes and Cognitive Performance: WISC-V as a Support Tool for Diagnostic Assessment
Lavigne-Cerván, R., Collado-Valero, J., Navarro-Soria, I., Rosales-Gómez, M., & Torrecillas-Martínez, M. (2026) · Actas Espanolas de Psiquiatria · doi:10.62641/aep.v54i3.2122 · Cited by 1 · see citing works
“Likewise, the role of the CPI as a predictor of clinical-group membership and a discriminator between presentations makes it a particularly useful indicator when behavioral symptomatology is ambiguous or when discrepancies arise between informants (family-school) [29,57].”
InfluentialSelf-citationFenollar-Cortés, J., Caminero-Ruiz, A., Molina-Torres, J., Sordo, S. A., & Ruiz-Aranda, D. (2026) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2026.105350 · Cited by 1 · see citing works
Vierikko, E., Takio, F., & Rantanen, K. (2026) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acag028
Vélez, W. A. Z., Ponce, J. L. A., Bailón, W. G. B., Valle, H. M. C. D., & Quirumbay, R. B. (2026) · Brain Sciences · doi:10.3390/brainsci16050480
Ling, S., Xiong, Y., Wang, J., & Zhao, J. (2026) · Child Neuropsychology · doi:10.1080/09297049.2026.2668396
Rico-Juan, J. R., Sória, I. N., Lavigne-Cerván, R., Rosales-Gómez, M., & Collado-Valero, J. A. (2026) · Applied Sciences · doi:10.3390/app16189184
Self-citationWang, C.-H., Huang, Y., Lee, Y.-T., Wang, H.-W., Liu, Y., & Chen, H.-J. (2026) · Diagnostics · doi:10.3390/diagnostics16193104
- Authors
- Rosales-Gómez, M., Navarro-Soria, I., Torrecillas, M., López, M. E., & Delgado, B.
- Affiliations
- University of Alicante (ES)
- Department of Developmental Psychology and Didactics, Faculty of Education, University of Alicante, 03690 Alicante, Spain
- Universidad Complutense de Madrid (ES)
- ORCID
- Venue
- Behavioral Sciences
- Publisher
- MDPI AG
- Published
- 2025-09-18
- Volume
- 15
- Issue
- 9
- Pages
- 1279
- ISSN
- 2076-328X (ISSN-L)
- PMC
- PMC12467670
- OpenAlex
- W4414312831
- Cited by
- 6
- References
- 51
- Citations by year
- 2026: 6
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Behavioral Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Keywords
- attention deficit hyperactivity disorder, cognitive profiling, WISC-IV, working memory, processing speed, verbal comprehension, perceptual reasoning, sex differences, children and adolescents, ADHD diagnosis
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