Evidence map›Paper›PMID 33325829›Full record

ReviewJournal of medical Internet research2020

Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review.

Thomas Parsons, Tyler Duffield

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07544199 (Transdiagnostic Dimensional Profiling of Neurodevelopmental Disorders), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

NCT07544199 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Transdiagnostic Dimensional Profiling of Neurodevelopmental Disorders: Using a Digital Platform to Assess Domain-General and Domain Specific Cognitive Functions

Typeobservational_patient_registrySponsorIRCCS Eugenio MedeaRan2026 to 2030Enrolled300ConditionsNeurodevelopmental Disorder (Diagnosis)ArmsNeuropsychological assessment
3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Precision neuropsychology in the area of AI.Frontiers in psychology · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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.

Thomas ParsonsComputational Neuropsychology & Simulation, University of North Texas, Denton, TX, United States.ORCID 0000-0003-0331-5019
Tyler DuffieldOregon Health & Science University, Portland, OR, United States.ORCID 0000-0003-3101-7027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropsychologists in the digital age have increasing access to emerging technologies. The National Institutes of Health (NIH) initiatives for behavioral and social sciences have emphasized these developing scientific and technological potentials (eg, novel sensors) for augmented characterization of neurocognitive, behavioral, affective, and social processes. Perhaps these innovative technologies will lead to a paradigm shift from disintegrated and data-poor behavioral science to cohesive and data-rich science that permits improved translation from bench to bedside. The 4 main advances influencing the scientific priorities of a recent NIH Office of Behavioral and Social Sciences Research strategic plan include the following: integration of neuroscience into behavioral and social sciences, transformational advances in measurement science, digital intervention platforms, and large-scale population cohorts and data integration. This paper reviews these opportunities for novel brain-behavior characterizations. Emphasis is placed on the increasing concern of neuropsychology with these topics and the need for development in these areas to maintain relevance as a scientific discipline and advance scientific developments. Furthermore, the effects of such advancements necessitate discussion and modification of training as well as ethical and legal mandates for neuropsychological research and praxes.

Indexed as

Big DataHumansMachine LearningNeuropsychologybig datainformaticsmachine learningmobile phoneneuropsychologysmartphonetechnologyvirtual reality

Identifiers

PMID33325829
PMCPMC7773516

What OpenQuestion holds

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Registered trials

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.