Cited by 17Autism Spectrum Disorder ResearchPsychological Testing and AssessmentDevelopmental and Educational Neuropsychology

Converting tests of fundamental social, cognitive, and affective processes into clinically useful bio‐behavioral markers for neurodevelopmental conditions

Loth, Eva, Evans, David W.·2019·WIREs Cognitive Science

Abstract

Biomarker discovery has become a central topic in neurodevelopmental research. A validated biomarker could be any objective measure or test that has clinical utility for diagnostic, stratification, or predictive purposes, or that can be used to objectively measure therapeutic efficacy. Here we discuss the potential and challenges of converting tests of fundamental social, cognitive, emotional and motivational processes into clinically useful bio-behavioral markers for neurodevelopmental conditions. Given the broad clinical and etiological heterogeneity of many neurodevelopmental conditions, we propose moving the focus from identifying group-defining characteristics to creating cross-domain bio-behavioral profiles at the individual level. We outline steps to develop tests that reflect the relevant domains and that are comparable, engaging and sensitive across large age and ability ranges. Analytical validation of these tests requires creating age norms, and optimizing psychometric properties. Individual bio-behavioral fingerprints of strengths and difficulties across domains can then be combined with multivariate approaches to identify "subgroups." This may help researchers and clinicians to compare individuals with and without intellectual disability, track developmental stability versus changes, and facilitate family genetic studies. Clinical validation requires including these tests in multidisciplinary, longitudinal and/ or intervention studies to ascertain whether particu…

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Crossref · 10.1002/wcs.1499

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  • The AIMS-2-TRIALS network has collected cognitive data from hundreds of participants across several sites across Europe, alongside potential biomarkers (Loth & Evans, 2019).

    “The AIMS-2-TRIALS network has collected cognitive data from hundreds of participants across several sites across Europe, alongside potential biomarkers (Loth & Evans, 2019).”
  • The failure to find qualitatively distinct diagnostic biomarkers distinguishing autism from non-autism has led to a shift to search for stratification biomarkers predicting differences in prognosis or treatment response within autistic individuals.

    “The failure, to date, to find qualitatively distinct 'diagnostic' biomarkers distinguishing autism from non-autism, has led to a shift to search instead for stratification biomarkers; markers that might predict differences in e.g., prognosis or treatment response, within groups of autistic individuals (Loth & Evans, 2019).”

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Authors
Loth, E., & Evans, D. W.
Affiliations
  • King's College London (GB)
  • Bucknell University (US)
Corresponding author
Loth, Eva
Venue
WIREs Cognitive Science
Publisher
Wiley
Published
2019-04-03
Volume
10
Issue
5
Pages
e1499-e1499
ISSN
  • 1939-5078 (ISSN-L)
  • 1939-5086
OpenAlex
W2927561256
Cited by
17
References
11
Citations by year
2025: 2 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 4 · 2020: 2
FWCI
0.28
Type
journal article
Language
en
Open access
closed
Locations
  • Wiley Interdisciplinary Reviews Cognitive Science (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
  • SFARI
  • Autistica
  • Autism Speaks
  • European Federation of Pharmaceutical Industries and Associations
  • Innovative Medicines Initiative (777394)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
Keywords
neurodevelopmental disorders, intellectual disability, biomarker development, age norms, psychometric validation, test development, subgroup identification, developmental stability, clinical validation, online assessment, tablet-based assessment
MeSH terms
Autism Spectrum Disorder, Cognition, Humans, Psychometrics, Biomarkers, Neurodevelopmental Disorders

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