Testing Post-Optimization

1. Abstract

Provide a concise abstract (max 200 words) describing (1) scientific rationale, importance and research plan, (2) description of team/facilities/ethics approvals, (3) estimated timeline, and (4) data sharing commitment.

2. Introduction

Summarize theoretical background, key literature, and rationale for the proposal.

Hypotheses

State numbered hypotheses (H1, H2, etc.) as labeled subheadings. Designate primary vs. secondary outcomes.

3. Methods

Participants/Sample

Define target sample, inclusion/exclusion criteria, recruitment strategy, and sample size justification (including power analysis).

Materials and Procedures

Describe experimental/observational procedures, stimuli, tasks, equipment, and data collection settings with sufficient detail for replication.

Planned Analyses

Outline analysis pipeline, preprocessing steps, statistical tests, and hypothesis-specific predictions. Describe how results will be interpreted regardless of outcome. Describe how deviations from the planned sample will be handled.

Ethics and Data Management

State ethical approval status or plan, confidentiality measures, and data sharing/archiving plan.

4. Pilot Data (Optional)

Summarize any pilot data or simulations that demonstrate method feasibility and inform power analysis. Clearly distinguish from main study.

5. Budget

Provide an itemized list of anticipated costs (materials, personnel, etc.). These are not binding and are able to be adjusted based on the results of the pilot data.

6. References

List all references used in the manuscript using Nature style (e.g. numbered in-text citations and alphabetical references at the end of the manuscript).

Testing Post-Optimization

Testing Post-Optimization

Key Insights

Funding Progress

Funders

Peer Reviews

Related Funding

Neurodevelopmental and neuropsychiatric conditions

Nonprofit Recipient

Topics

DOI