Literature DB >> 36181650

Minimal scanning duration for producing individualized repetitive transcranial magnetic stimulation targets.

Jinmei Sun1,2,3, Rongrong Du4,2,3, Bing Zhang4,2,3,5, Qiang Hua4,2,3, Yingru Wang4,2,3, Yuanyuan Zhang4,2,3, Gong-Jun Ji6,7,8,9, Kongliang He10,11,12,13, Kai Wang14,15,16,17,18,19.   

Abstract

This study aimed to determine the minimal scanning duration of functional magnetic resonance imaging (fMRI) for producing individualized repetitive transcranial magnetic stimulation (rTMS) targets that are superior to the group-level targets. This study included 30 healthy subjects and 20 depressive patients with high-sampled fMRI data (> 69 min). We computed suboptimal targets by gradually increasing the scanning duration beginning at 6 min. The suboptimal target connectivity and spatial distance to the optimal target (based on the full-duration scanning data) were compared to an anatomically fixed target from a group analysis (termed as the group target). These analyses were repeated for healthy subjects and depressive patients, as well as for target masks in the dorsolateral prefrontal cortex (DLPFC) and inferior parietal lobule (IPL). As the scanning duration increased, the suboptimal targets gradually approached the optimal targets in the healthy subjects. Compared with the group targets, the suboptimal targets in the DLPFC showed higher connectivity strength after 10 min of data collection and shorter spatial distance after 40 min. Similar results were found in major depressive patients. In the IPL, the minimal scanning duration decreased to 6 and 8 min for connectivity strength and distance, respectively. These findings provide an important reference for individualized target definition in terms of scanning duration, which may standardize connectivity-based personalized studies. Future research is needed to further validate the therapeutic effects of the approach.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Dorsolateral prefrontal cortex; Individualized target; Inferior parietal lobule; Minimal scanning duration; Repetitive transcranial magnetic stimulation

Year:  2022        PMID: 36181650     DOI: 10.1007/s11682-022-00720-y

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.224


  45 in total

Review 1.  Architectonic Mapping of the Human Brain beyond Brodmann.

Authors:  Katrin Amunts; Karl Zilles
Journal:  Neuron       Date:  2015-12-16       Impact factor: 17.173

2.  Personalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder.

Authors:  Erin W Dickie; Stephanie H Ameis; Saba Shahab; Navona Calarco; Dawn E Smith; Dayton Miranda; Joseph D Viviano; Aristotle N Voineskos
Journal:  Biol Psychiatry       Date:  2018-03-17       Impact factor: 13.382

3.  Subgenual Functional Connectivity Predicts Antidepressant Treatment Response to Transcranial Magnetic Stimulation: Independent Validation and Evaluation of Personalization.

Authors:  Robin F H Cash; Andrew Zalesky; Richard H Thomson; Ye Tian; Luca Cocchi; Paul B Fitzgerald
Journal:  Biol Psychiatry       Date:  2019-01-19       Impact factor: 13.382

4.  Stanford Accelerated Intelligent Neuromodulation Therapy for Treatment-Resistant Depression.

Authors:  Eleanor J Cole; Katy H Stimpson; Brandon S Bentzley; Merve Gulser; Kirsten Cherian; Claudia Tischler; Romina Nejad; Heather Pankow; Elizabeth Choi; Haley Aaron; Flint M Espil; Jaspreet Pannu; Xiaoqian Xiao; Dalton Duvio; Hugh B Solvason; Jessica Hawkins; Austin Guerra; Booil Jo; Kristin S Raj; Angela L Phillips; Fahim Barmak; James H Bishop; John P Coetzee; Charles DeBattista; Jennifer Keller; Alan F Schatzberg; Keith D Sudheimer; Nolan R Williams
Journal:  Am J Psychiatry       Date:  2020-04-07       Impact factor: 18.112

5.  The effect of scan length on the reliability of resting-state fMRI connectivity estimates.

Authors:  Rasmus M Birn; Erin K Molloy; Rémi Patriat; Taurean Parker; Timothy B Meier; Gregory R Kirk; Veena A Nair; M Elizabeth Meyerand; Vivek Prabhakaran
Journal:  Neuroimage       Date:  2013-06-06       Impact factor: 6.556

6.  Electric field depth-focality tradeoff in transcranial magnetic stimulation: simulation comparison of 50 coil designs.

Authors:  Zhi-De Deng; Sarah H Lisanby; Angel V Peterchev
Journal:  Brain Stimul       Date:  2012-03-21       Impact factor: 8.955

7.  A randomized trial of rTMS targeted with MRI based neuro-navigation in treatment-resistant depression.

Authors:  Paul B Fitzgerald; Kate Hoy; Susan McQueen; Jerome J Maller; Sally Herring; Rebecca Segrave; Michael Bailey; Greg Been; Jayashri Kulkarni; Zafiris J Daskalakis
Journal:  Neuropsychopharmacology       Date:  2009-01-14       Impact factor: 7.853

8.  Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression.

Authors:  Robin F H Cash; Luca Cocchi; Jinglei Lv; Paul B Fitzgerald; Andrew Zalesky
Journal:  JAMA Psychiatry       Date:  2021-03-01       Impact factor: 21.596

9.  General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks.

Authors:  Maxwell L Elliott; Annchen R Knodt; Megan Cooke; M Justin Kim; Tracy R Melzer; Ross Keenan; David Ireland; Sandhya Ramrakha; Richie Poulton; Avshalom Caspi; Terrie E Moffitt; Ahmad R Hariri
Journal:  Neuroimage       Date:  2019-01-29       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.