Pepper, J. L. | bioRxiv Science

bioRxiv2026

Development and Validation of the Transcranial Magnetic Stimulation Reporting Assessment Tool(TMS-RAT)

HighlightsO_LIWe introduce the TMS-RAT, a reporting (assessment) tool for TMS studies C_LIO_LIDeveloped within a community-informed, iterative process rating 333 TMS studies C_LIO_LIEmpirically evaluated for usability, inter-rater, and test-retest reliability C_LIO_LIA validated subset enables reliable retrospective assessment of reporting C_LIO_LIThe modular structure enables use across a wide range of TMS study designs C_LI BackgroundA standardised tool for comprehensive reporting can improve transparency, support consistent documentation, and enable comparison across transcranial magnetic stimulation (TMS) studies. The most used reporting checklist lacks clear definitions of full reporting and was not initially evaluated for usability or inter-rater reliability. A scoping review of studies using this checklist shows that its items are reported only 50% of the time, suggesting that method descriptions are often incomplete. MethodsWe developed the TMS Reporting Assessment Tool (TMS-RAT), a comprehensive reporting framework that provides clear definitions and examples for its items, covering a wide range of TMS protocols. We tested the usability and reliability of the TMS-RAT by rating all studies published between 1991 and 2025 using afferent conditioning (n = 333), a protocol encompassing many reporting categories identified during tool development. Seventeen independent raters contributed across three development phases, a validation phase, and a retest phase, with naive raters introduced in each phase. Iterative refinements of the tool were informed by inter-rater reliability, qualitative rater feedback, and consultation with external TMS experts. ResultsWe present two versions of the tool: the 72-item TMS-RAT v1.0, designed to guide comprehensive reporting, and the TMS-RAT v1.1, a subset of 50 items with the highest inter-rater (overall AC1 = 0.78, range = [0.60-0.99]) and test-retest reliability (overall AC1 = 0.82, range = [0.65-1.0]), intended for retrospective evaluation of reporting in systematic reviews, meta-analyses. ConclusionThe TMS-RAT is a comprehensive, reliable tool that seeks to improve transparency and reproducibility in TMS research.

neuroscience↗

bioRxiv2024

Age-Related Changes in Functional Balance Ability Predict Alpha Activity During Multisensory Integration

The increased multisensory integration and weaker attentional control experienced by older adults during audiovisual processing can result in inaccurate perceptions of their dynamic, everyday environment. These inaccurate representations of our environment can contribute to increased fall risk in older adults. A neural correlate of the attentional difference between younger and older adults could be oscillatory alpha activity (8-12Hz), indexing inhibitory processes during multisensory integration. The current study investigated whether age-related changes in alpha activity underlie weaker attentional control in older adults during a multisensory task, and if alpha associates with fall risk. Thirty-six younger (18-35 years old) and thirty-six older (60-80 years old) adults completed a cued-spatial-attention stream-bounce task, assessing audiovisual integration when attending to validly-cued or invalidly-cued locations, at 0ms or 300ms stimulus-onset asynchronies. Oscillatory alpha activity was recorded throughout using EEG to index participants inhibitory abilities. Functional ability and balance were measured to index fall risk. Multiple linear regression models revealed that even when attending to the validly-cued location, less accurate multisensory integration was exhibited by older adults compared to younger adults, suggesting that older adults demonstrate weaker top-down modulation of multisensory integration through failing to inhibit task-irrelevant information. However, alpha power across the trials did not predict the extent of multisensory integration within the task. A significant interaction between age and functional ability scores predicted alpha power, suggesting that older adults may rely on attentional mechanisms for functional ability more than younger adults do. Potential implications in the design of clinical treatments to reduce falls are discussed.

neuroscience↗