Writing study: BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics
← NeurIPS 2026 oral writing corpus
Junfeng Xia, Wenhao Ye, Junxiang Zhang, Xuanye Pan, Mo WANG, Quanying Liu · Official NeurIPS 2026 oral record
Figure, table and section ledger
Editorial contribution type: Domain-grounded methods & physical systems (primary).
Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.
- Canonical PDF
- 33 physical pages
- Before references / appendix
- ≈ 9.09 page-equivalents
- Main figures / tables
- 4 / 2
- Attached appendix figures / tables
- 8 / 6
- Attached appendix span
- ≈ 18.91 page-equivalents
Source-bound correction: Top-level heading and reference/appendix boundaries checked against source PDF text. Bibliography titles/author initials, numbered contribution/property bullets, diagram steps, equations and TOC entries are not substantive headings. Section spans are page-coordinate estimates, not ink area or prose-only length. This is an author manuscript mirror, not a verified accepted-version template. Source layout uses physical single-column y/page-height, including equation-heavy pages.
Section-by-section lengths and source pages
The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.
| Top-level heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1 Introduction | 1 | ≈ 1.24 pp. | 3.76% |
| 2 Related Work | 2 | ≈ 1.44 pp. | 4.36% |
| 3 Method | 4 | ≈ 2.56 pp. | 7.76% |
| 4 Experiments | 6 | ≈ 1.94 pp. | 5.88% |
| 5 Discussion | 8 | ≈ 1.33 pp. | 4.03% |
| References | 10 | ≈ 5 pp. | 15.15% |
| Supplementary Material | 15 | ≈ 0.03 pp. | 0.09% |
| A. ROI baseline for comparison: BrainMAE | 15 | ≈ 3.48 pp. | 10.55% |
| B. Supplementary Results | 18 | ≈ 4.89 pp. | 14.82% |
| C. Details of Materials | 23 | ≈ 10.51 pp. | 31.85% |
All detected figure and table locations
Argument and organization
- Problem and contribution
Separates conditional future fMRI generation from representation-only foundation models, with anatomy serving as subject-level context.
- Argument sequence
Explains a spatial VAE, conditioned diffusion, rollout and representation extraction before generation, augmentation and transfer experiments.
- Evidence and verification
Full-finetuning and frozen-backbone tables are separate; modalities, metric directions and the effect-size marker are defined in captions.
Problem, claim and contribution
Separates conditional future fMRI generation from representation-only foundation models, with anatomy serving as subject-level context.
Introduction · Main paper
Argument and section order
Explains a spatial VAE, conditioned diffusion, rollout and representation extraction before generation, augmentation and transfer experiments.
Sections 3–4 · Main paper
Figures, captions and visual explanation
The overview combines motivation, dataset roles, preprocessing and architecture as labeled panels, with frozen components and optional inputs distinguished.
Figure 2, p. 3 · Main paper
Tables, comparisons and evidence
Full-finetuning and frozen-backbone tables are separate; modalities, metric directions and the effect-size marker are defined in captions.
Tables 1–2, p. 9 · Main paper
Appendix and reproducibility
Additional horizon results, median-performing qualitative cases and detailed cohort/preprocessing conditions support the main summaries.
Appendices B–C · Main paper
Clarity and writing conventions
The paper defines 'structural prior' as conditioning rather than an explicit Bayesian prior and disclaims biological causality.
Section 3; limitations, p. 9 · Main paper
What to reuse—and what not to infer
Transferable lesson: For a domain application, state data roles and information access, and separate reconstruction, augmentation and transfer as different claims.
Boundary: Effect size is not a significance test; generated examples are not independent biological measurements. This fMRI paper is writing evidence, not WSI-specific guidance.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-10-02
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented distributed manuscript scan of Sections 1–5, pp. 1–9; references pp. 10–14: abstract/framing, section sequence, substantive text windows, captions, evidence organization and conclusion; not exhaustive technical verification.
- Appendix / supplement
- Writing-oriented scan of Supplementary baseline, results, data, preprocessing and configuration sections, pp. 15–33; code and experiments were not executed.
- Visually inspected PDF pages
- 3, 9
This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.