Evidence map›Paper›PMID 39103496›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2024

Measuring neuroplasticity in human development: the potential to inform the type and timing of mental health interventions.

Max P Herzberg, Ashley N Nielsen, Joan Luby, Chad M Sylvester

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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. The relationship between age of autism diagnosis and life satisfaction in adulthood.Autism : the international journal of research and practice · 2026
    Article
  4. Article
  5. Article
  6. Investigating hierarchical critical periods in human neurodevelopment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Max P Herzberg *Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA. maxherzberg@wustl.edu.ORCID 0000-0003-3177-7966
Ashley N Nielsen *Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA. ashley.nielsen@wustl.edu.
Joan LubyDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.
Chad M SylvesterDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-2154-0826

Funding

Early Life Adversity, Biological Embedding, and Risk for Developmental Precursors of Mental DisordersR01MH113883 · NIMH · WASHINGTON UNIVERSITY · PI JOAN L. LUBY, Christopher Daniel Smyser · 2018 to 2026
$20.6M
Developmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8M
Individualized Mechanisms of Neural Plasticity and Response to Interventions in NeonatesR01MH134966 · NIMH · WASHINGTON UNIVERSITY · PI Chad Michael Sylvester · 2024 to 2026
$4.2M
Neonatal Brain Activity and Risk for Anxiety Disorders in Early ChildhoodR01MH122389 · NIMH · WASHINGTON UNIVERSITY · PI Chad Michael Sylvester · 2020 to 2026
$3.9M
Attention-Related Neural Circuitry in Pediatric Anxiety and ADHDR01MH131584 · NIMH · WASHINGTON UNIVERSITY · PI Kirsten Gilbert, Chad Michael Sylvester · 2023 to 2026
$2.9M
NIMH NIH HHS R01 MH113883NIMH NIH HHS R01 MH122389NIMH NIH HHS R01 MH131584NIMH NIH HHS R01 MH134966NIMH NIH HHS T32 MH100019
6 · The paper itself

Abstract

Neuroplasticity during sensitive periods, the molecular and cellular process of enduring neural change in response to external stimuli during windows of high environmental sensitivity, is crucial for adaptation to expected environments and has implications for psychiatry. Animal research has characterized the developmental sequence and neurobiological mechanisms that govern neuroplasticity, yet gaps in our ability to measure neuroplasticity in humans limit the clinical translation of these principles. Here, we present a roadmap for the development and validation of neuroimaging and electrophysiology measures that index neuroplasticity to begin to address these gaps. We argue that validation of measures to track neuroplasticity in humans will elucidate the etiology of mental illness and inform the type and timing of mental health interventions to optimize effectiveness. We outline criteria for evaluating putative neuroimaging measures of plasticity in humans including links to neurobiological mechanisms shown to govern plasticity in animal models, developmental change that reflects heightened early life plasticity, and prediction of neural and/or behavior change. These criteria are applied to three putative measures of neuroplasticity using electroencephalography (gamma oscillations, aperiodic exponent of power/frequency) or functional magnetic resonance imaging (amplitude of low frequency fluctuations). We discuss the use of these markers in psychiatry, envision future uses for clinical and developmental translation, and suggest steps to address the limitations of the current putative neuroimaging measures of plasticity. With additional work, we expect these markers will significantly impact mental health and be used to characterize mechanisms, devise new interventions, and optimize developmental trajectories to reduce psychopathology risk.

Indexed as

Neuronal PlasticityAnimalsBrainElectroencephalographyHumansMagnetic Resonance ImagingMental DisordersMental HealthNeuroimaging

Identifiers

PMID39103496
PMCPMC11525577

What Socratic holds

Textmetadata
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 Socratic graph.