
Big TMS Data Collaboration
73 posts

Big TMS Data Collaboration
@bigTMSdata
The Big TMS Data Collaboration utilises analysis of large-scale individual participant data to investigate interindividual response variability to TMS.


Aino E. Tervo et al. demonstrate automatic E-field orientation optimization to maximize TMS-evoked EEG responses brainstimjrnl.com/article/S1935-…






We are extremely pleased to announce that Dr Daniel Corp (Deakin University) has been awarded the Brainbox Initiative's Young Investigator Award for 2021. Read our introduction to Daniel's award-winning research on our website: brainbox-initiative.com/news/2021/anno…

Our second paper from the @bigTMSdata Collaboration out now in Clin Neurophys! This study pools the largest sample of TMS data yet (687 healthy participants) to show factors driving single and pp variability. @Han_Berez @pe7en7 @alvaropleone @PBFitzgerald @ali_jannati @MKirkovski

[Interindividual variability in single and paired-pulse TMS] Corp et al.: "We provide specific recommendations to minimise interindividual variability in single and paired-pulse TMS data." doi.org/10.1016/j.clin… @Deakin @tmslab

[Interindividual variability in single and paired-pulse TMS] Corp et al.: "We provide specific recommendations to minimise interindividual variability in single and paired-pulse TMS data." doi.org/10.1016/j.clin… @Deakin @tmslab



Out now in @NatureHumBehav @SpringerNature: TMS, DBS, and lesions converge on common causal circuits in neuropsychiatric disease. Lesions reveal better TMS/DBS targets. All 3 modalities can modulate similar circuits. Thanks @foxmdphd and 24 co-authors! rdcu.be/cnZQ1





