Evidence map›Paper›PMID 39143320›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2024

Psychiatric neuroimaging designs for individualised, cohort, and population studies.

Martin Gell, Stephanie Noble, Timothy O Laumann, Steven M Nelson, Brenden Tervo-Clemmens

Erratum issuedAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Martin GellDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany. martygell@gmail.com.
Stephanie NoblePsychology Department, Northeastern University, Boston, MA, USA.
Timothy O LaumannDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Steven M NelsonMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
Brenden Tervo-ClemmensMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA. btervocl@umn.edu.

Funding

Leveraging complementary big data methods and patient intervention designs to optimize neural markers of adolescent cannabis useK23DA057486 · NIDA · UNIVERSITY OF MINNESOTA · PI Brenden Craig Tervo-Clemmens · 2023 to 2026
$782k
Precision Functional Mapping in Treatment-Resistant DepressionR00MH129616 · NIMH · WASHINGTON UNIVERSITY · PI TIMOTHY OTTO LAUMANN · 2024 to 2026
$747k
Empirical Power Analysis Tool for fMRIR00MH130894 · NIMH · NORTHEASTERN UNIVERSITY · PI NOBLE, STEPHANIE MARIE · 2023 to 2025
$678k
Precision Functional Mapping in Treatment-Resistant DepressionK99MH129616 · NIMH · WASHINGTON UNIVERSITY · PI LAUMANN, TIMOTHY OTTO · 2022 to 2023
$292k
Empirical Power Analysis Tool for fMRIK99MH130894 · NIMH · YALE UNIVERSITY · PI NOBLE, STEPHANIE MARIE · 2022 to 2022
$123k
NIDA NIH HHS K23 DA057486NIMH NIH HHS K99 MH129616NIMH NIH HHS K99 MH130894NIMH NIH HHS R00 MH129616NIMH NIH HHS R00 MH130894
6 · The paper itself

Abstract

Psychiatric neuroimaging faces challenges to rigour and reproducibility that prompt reconsideration of the relative strengths and limitations of study designs. Owing to high resource demands and varying inferential goals, current designs differentially emphasise sample size, measurement breadth, and longitudinal assessments. In this overview and perspective, we provide a guide to the current landscape of psychiatric neuroimaging study designs with respect to this balance of scientific goals and resource constraints. Through a heuristic data cube contrasting key design features, we discuss a resulting trade-off among small sample, precision longitudinal studies (e.g., individualised studies and cohorts) and large sample, minimally longitudinal, population studies. Precision studies support tests of within-person mechanisms, via intervention and tracking of longitudinal course. Population studies support tests of generalisation across multifaceted individual differences. A proposed reciprocal validation model (RVM) aims to recursively leverage these complementary designs in sequence to accumulate evidence, optimise relative strengths, and build towards improved long-term clinical utility.

Indexed as

Mental DisordersNeuroimagingResearch DesignBrainCohort StudiesHumans

Identifiers

PMID39143320
PMCPMC11525483

What OpenQuestion holds

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Registered trials

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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.