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This research was partially funded by: Ministerio de Ciencia e Innovacion, Proyectos de Transicion Ecologica y Transicion Digital TED2021-130980B-I00, Proyectos de Redes de Investigacion RED2022-134259-T, UC3M (Grant for the requalification of permanent lectures, David Delgado-Gomez), Instituto Salud Carlos III (ISCIII), grant number DTS21/00091, co-funded by the European Union, Consejeria de Educacion e Investigacion: PEJ-2021-AI/SAL-2147, Social responsibility grants from the Social Council of the Carlos III University of Madrid.

Analysis of institutional authors

Aguado, DavidAuthor

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October 14, 2024
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A data science approach to optimize ADHD assessment with the BRIEF-2 questionnaire

Publicated to:Translational Neuroscience. 15 (1): 20220349- - 2024-10-08 15(1), DOI: 10.1515/tnsci-2022-0349

Authors: Caselles-Pina, Lucia; del Amo, Paula Serna; Aguado, David; Lopez-Castroman, Jorge; Sanjuan-Antunez, Juan de Dios; Delgado-Gomez, David

Affiliations

Carlos III Univ Madrid, Dept Signal Theory & Commun, Madrid, Spain - Author
CIBERSAM, Madrid, Spain - Author
Hewlett Packard Enterprise, Global Ctr Excellence, Madrid, Spain - Author
Nimes Univ Hosp, Dept Psychiat, Nimes, France - Author
Univ Autonoma Madrid, Dept Social Psychol & Methodol, Madrid, Spain - Author
Univ Carlos III Madrid, Dept Stat, Getafe, Spain - Author
Univ Montpellier, IGF, CNRS INSERM, INSERM, Montpellier, France - Author
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Abstract

Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder. A key challenge associated with this condition is achieving an early diagnosis. The current study seeks to anticipate and delineate the assessments offered by both parents and teachers concerning a child's behavior and overall functioning with the Behavior Rating Inventory of Executive Function-2 (BRIEF-2). Mothers, fathers, and teachers of 59 children diagnosed or in the process of being assessed for ADHD participated in this study. The responses provided by 59 mothers, 59 fathers, and 57 teachers to the BRIEF-2 questionnaire were collected. The performance of various feature selection techniques, including Lasso, decision trees, random forest, extreme gradient boosting, and forward stepwise regression, was evaluated. The results indicate that Lasso stands out as the optimal method for our dataset, striking an ideal balance between accuracy and interpretability. A repeated validation analysis reveals an average positive correlation exceeding 0.5 between the inattention/hyperactivity scores reported by informants (mother, father, or teacher) and the predictions derived from Lasso. This performance is achieved using only approximately 18% of the BRIEF-2 items. These findings underscore the usefulness of variable selection techniques in accurately characterizing a patient's condition while employing a small subset of assessment items. This efficiency is particularly valuable in time-constrained settings and contributes to improving the comprehension of ADHD.

Keywords

Attention-deficit/hyperactivity disorderChildrenDeficit hyperactivity disorderExecutive functionsFeature selectionHyperactivityInattentionLassoMotheNeurodevelopment disorderNeurodevelopment disordersParentPerformanceSymptomsTeacher ratingsWorking-memory

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Translational Neuroscience, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Neurosciences, give it significant recognition in a specific niche of scientific knowledge at an international level.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-17:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 13 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: France.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Caselles-Pina, Lucia) .