> "Scholarship is like a military march: a small error at the start leads to a huge deviation down the road. This paper aims to illuminate the subtleties of aging cognition, but careless writing and missing references make it a pity."
This report applies a six-step academic integrity audit framework to the ChinaXiv preprint *"A core unifying biomarker underlying heterogeneous non-pharmacological interventions that attenuate age-related cognitive decline and its causal validation"*.
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📄 Paper Details
| Dimension | Information |
| :--- | :--- |
| Authors | Jin Xinhu (1,2), Tang Wei (1), Li Juan (1,2) |
| Institutions | Institute of Psychology, Chinese Academy of Sciences (CAS Key Laboratory of Behavioral Science / National Key Laboratory of Cognitive Science and Mental Health); Department of Psychology, University of Chinese Academy of Sciences |
| Platform | ChinaXiv (CAS preprint server) |
| Identifier | ChinaXiv:202605.00255v1 (Posted: 2026-05-27; received: 2026-04-22) |
| Funding | National Natural Science Foundation of China, Young Scientists Fund (32500986) |
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📊 Overall Verdict
🟡 Questionable (no misconduct, but careless writing)
> [!IMPORTANT] > The paper is a research proposal-type preprint: it outlines experimental design and theoretical rationale without actual results, so no data fabrication or image fraud is present. However, it shows clear scholarly sloppiness: five in-text citations are completely missing from the reference list; one citation has a contradictory year; a two-author citation misuses "et al."; and the core intervention description confuses frequency (Hz) with intensity. Not fraud, but these flaws undermine the rigor expected of a national-grant-funded project.
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🔎 Six-Step Audit
1. Image Reuse
Two figures (a logic framework diagram, page 5; a study-workflow / multimodal data-analysis diagram, page 7). Both are self-drawn schematic diagrams with no biomedical gels, microscopy, or flow-cytometry panels. No reuse found.2. Data Fabrication
As a proposal, results are at the "expected stage" (e.g., "Study 2 expects... significant behavioral improvement"); no statistical tables exist. The planned math is internally consistent: cortical functional gradients via diffusion map embedding (\(T_{Diffusion} = D^{-1} W\)) and intrinsic neural timescales (\(\tau\)) fitted to resting-state ACF exponential decay (\(R(\Delta t) = A \cdot e^{-\Delta t/\tau} + B\)). No absurd derivations found.3. Image Splicing (PS traces)
Only digitally typeset vector diagrams; no splicing anomalies.4. Statistical Anomalies
All results are "expected" descriptions; no real \(F\), \(t\), or \(p\) values yet. Clean at this stage; statistical self-consistency should be tracked in later outputs.5. Publication-Volume Anomaly
First author Jin Xinhu has prior publications (2024–2026) on cognitive plasticity and hemispheric lateralization (e.g.,Jin, Liang, et al., 2024; Jin, Zhang, et al., 2024). This proposal builds logically on that work — not blind "salami" output.6. Citations & Methodology (⚠️ Main problem area)
#### a) Five in-text citations missing from reference list
| # | In-text citation | Topic | Status |
| :--- | :--- | :--- | :--- |
| 1 | Raz et al., 2005 | Age-related gray-matter atrophy and white-matter volume loss | 🚫 Missing |
| 2 | Sexton et al., 2014 | White-matter integrity decline in brain aging | 🚫 Missing |
| 3 | Draganski et al., 2004 | Training-induced gray-matter change (classic Nature paper) | 🚫 Missing |
| 4 | Cui et al., 2024 | Synergistic cognitive gains from multimodal intervention | 🚫 Missing (list has Cui et al., 2023) |
| 5 | Tang et al., 2025 | SCD as preclinical AD's earliest stage | 🚫 Missing — a "self-citation omission" by co-author Tang |
#### b) Year inconsistency
In-text: (Jin, Liang, et al., 2024; Wu et al., 2018; Pu et al., 2024) — but the reference list gives the Wu paper as 2022 (*PLoS Biology*, 20(3), e3001560), a four-year discrepancy.
#### c) Misuse of "et al."
Reinhart et al., 2019 is cited repeatedly, but the reference has only two authors (Reinhart & Nguyen). Per APA 7, it must be cited as Reinhart & Nguyen, 2019.
#### d) Methodological concept confusion
The paper states: "...following rTMS safety standards... rTMS intensity was set to 10Hz". In rTMS, 10 Hz is the stimulation frequency, not intensity. Intensity is expressed as a percentage of resting/motor threshold (e.g., 90% MT) or maximum stimulator output (% MSO). Calling 10 Hz "intensity" is like calling engine RPM "fuel tank capacity" — a genuine methods error.
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📖 Key Concepts
> Dorsal Attention Network (DAN) — Large-scale network for top-down attentional control, centered on the intraparietal sulcus (IPS) and frontal eye fields (FEF); the brain's "spotlight controller."
> Functional Gradient — Continuous axis of cortical functional hierarchy, derived via nonlinear dimensionality reduction; the principal gradient runs from unimodal sensory/motor cortex to the default mode network.
> Intrinsic Neural Timescale — The temporal integration window of a cortical region, estimated from resting-state autocorrelation decay; short in sensory areas, long in association areas.
> rTMS — Non-invasive neuromodulation using time-varying magnetic fields; high-frequency (≥10 Hz) stimulation is excitatory, low-frequency (≤1 Hz) inhibitory. This study plans to target the superior parietal lobule (SPL) of the DAN.
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📋 Recommended Actions
- [x] Post a revised ChinaXiv version adding the five missing references (
Raz et al., 2005;Sexton et al., 2014;Draganski et al., 2004;Cui et al., 2024;Tang et al., 2025). - [x] Correct
Wu et al., 2018toWu et al., 2022. - [x] Change
Reinhart et al., 2019toReinhart & Nguyen, 2019. - [x] Rewrite the methods:
rTMS frequency set to 10 Hz, and add actual intensity parameters (e.g.,100% resting motor threshold).
📚 Verified Reference Details
1. Sikkes, S. A. M., et al. (2021). Toward a theory-based specification of non-pharmacological treatments in aging and dementia. *Alzheimer's & Dementia*, 17(2), 255-270. [DOI: 10.1002/alz.12188] 2. Cui, X., et al. (2023). A combined intervention of aerobic exercise and video game in older adults. *The Journals of Gerontology: Series A*, 78(8), 1436-1444. [DOI: 10.1093/gerona/glad023] 3. Reinhart, R. M., & Nguyen, J. A. (2019). Working memory revived in older adults by synchronizing rhythmic brain circuits. *Nature Neuroscience*, 22(5), 820-827. [DOI: 10.1038/s41593-019-0371-x] 4. Wu, X., et al. (2022). Dynamic changes in brain lateralization correlate with human cognitive performance. *PLoS Biology*, 20(3), e3001560. [DOI: 10.1371/journal.pbio.3001560] 5. Dong, H., et al. (2024). Ventral attention network connectivity is linked to cortical maturation and cognitive ability in childhood. *Nature Neuroscience*, 27(10), 2009-2020. [DOI: 10.1038/s41593-024-01719-z] 6. Draganski, B., et al. (2004). Changes in grey matter induced by training. *Nature*, 427(6972), 311-312. [DOI: 10.1038/427311a] (cited in-text but omitted from the preprint's reference list).
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⚠️ Disclaimer
This report was AI-assisted and is for academic discussion only. Final determinations of academic misconduct require official institutional investigation. We support research integrity while respecting every researcher's reputation. In case of dispute, official findings prevail. Detection accuracy is not guaranteed; false positives and negatives are possible.