Evidence map›Paper›PMID 30422045›Full record

ReviewThe Clinical neuropsychologist2019

Neuropsychological tests of the future: How do we get there from here?

Robert M Bilder, Steven P Reise

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Clinical neuropsychologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed.

  1. Article
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  12. The Tower of London task in children and adolescents with neuropsychiatric disorders.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2025
    Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Robert M Bildera Departments of Psychiatry & Biobehavioral Science, Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles , Los Angeles , California , USA.
Steven P Reiseb Department of Psychiatry & Biobehavioral Science , Los Angeles , California , USA.

Funding

1/2 Genomic Strategies to Identify High-impact Psychiatric Risk VariantsU01MH105578 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B., GESCHWIND, DANIEL H · 2014 to 2018
$8.5M
Multi-Level Assays of Working Memory and PsychopathologyR01MH101478 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2014 to 2018
$3.0M
Hemodynamic Biomarkers of Healthy and Diseased AgingK25AG051782 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANDERSON, ARIANA · 2016 to 2020
$667k
Modeling RDoc Dimensions Across Levels of AnalysisR03MH106922 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANDERSON, ARIANA · 2016 to 2017
$154k
NIA NIH HHS K25 AG051782NIMH NIH HHS R01 MH101478NIMH NIH HHS R03 MH106922NIMH NIH HHS U01 MH105578
6 · The paper itself

Abstract

objectiveThis article reviews current approaches to neuropsychological assessment, identifies opportunities for development of new methods using modern psychometric theory and advances in technology, and suggests a transition path that promotes application of novel methods without sacrificing validity.

methodsTheoretical/state-of-the-art review.

conclusionsClinical neuropsychological assessment today does not reflect advances in neuroscience, modern psychometrics, or technology. Major opportunities for improving practice include both psychometric and technological strategies. Modern psychometric approaches including item response theory (IRT) enable linking procedures that can place different measures on common scales; adaptive testing algorithms that can dramatically increase efficiency of assessment; examination of differential item functioning (DIF) to detect measures that behave differently in different groups; and person fit statistics to detect aberrant patterns of responding of high value for performance validity testing. Opportunities to introduce novel technologies include computerized adaptive testing, Web-based assessment, healthcare- and bio-informatics strategies, mobile platforms, wearables, and the 'internet-of-things'. To overcome inertia in current practices, new methods must satisfy requirements for back-compatibility with legacy instrumentation, enabling us to leverage the wealth of validity data already accrued for classic procedures. A path to achieve these goals involves creation of a global network to aggregate item-level data into a shared repository that will enable modern psychometric analyses to refine existing methods, and serve as a platform to evolve novel assessment strategies, which over time can revolutionize neuropsychological assessment practices world-wide.

Indexed as

AlgorithmsNeuropsychological TestsForecastingHumansPsychometricsclinical decision-makingdiagnostic techniques and proceduresinformation scienceNeuropsychologypsychological testspsychometrics

Identifiers

PMID30422045
PMCPMC6422683

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.