Literature DB >> 35121855

A checklist for assessing the methodological quality of concurrent tES-fMRI studies (ContES checklist): a consensus study and statement.

Hamed Ekhtiari1, Peyman Ghobadi-Azbari2,3, Axel Thielscher4,5, Andrea Antal6, Lucia M Li7,8, A Duke Shereen9, Yuranny Cabral-Calderin10, Daniel Keeser11,12,13, Til Ole Bergmann14,15,16, Asif Jamil17, Ines R Violante18, Jorge Almeida19,20, Marcus Meinzer21,22, Hartwig R Siebner4,23,24, Adam J Woods25, Charlotte J Stagg26,27, Rany Abend28, Daria Antonenko22, Tibor Auer18, Marc Bächinger29,30, Chris Baeken31,32,33, Helen C Barron26,27, Henry W Chase34, Jenny Crinion35, Abhishek Datta36,37, Matthew H Davis38, Mohsen Ebrahimi3, Zeinab Esmaeilpour39, Brian Falcone40, Valentina Fiori41, Iman Ghodratitoostani42, Gadi Gilam43,44, Roland H Grabner45, Joel D Greenspan46, Georg Groen47, Gesa Hartwigsen48, Tobias U Hauser49,50, Christoph S Herrmann51,52,53, Chi-Hung Juan54,55, Bart Krekelberg56, Stephanie Lefebvre57, Sook-Lei Liew58,59,60,61, Kristoffer H Madsen4,62, Rasoul Mahdavifar-Khayati2, Nastaran Malmir3, Paola Marangolo63,64, Andrew K Martin21,65, Timothy J Meeker66, Hossein Mohaddes Ardabili67,68, Marius Moisa69, Davide Momi70, Beni Mulyana71, Alexander Opitz72, Natasza Orlov73,74,75,76, Patrick Ragert77,78, Christian C Ruff69, Giulio Ruffini79,80, Michaela Ruttorf81, Arshiya Sangchooli3, Klaus Schellhorn82, Gottfried Schlaug83, Bernhard Sehm78,84, Ghazaleh Soleimani85, Hosna Tavakoli3,86, Benjamin Thompson87,88,89, Dagmar Timmann90, Aki Tsuchiyagaito71, Martin Ulrich47, Johannes Vosskuhl51, Christiane A Weinrich6,91, Mehran Zare-Bidoky3,92, Xiaochu Zhang93, Benedikt Zoefel38,94,95, Michael A Nitsche17,96, Marom Bikson39.   

Abstract

Low-intensity transcranial electrical stimulation (tES), including alternating or direct current stimulation, applies weak electrical stimulation to modulate the activity of brain circuits. Integration of tES with concurrent functional MRI (fMRI) allows for the mapping of neural activity during neuromodulation, supporting causal studies of both brain function and tES effects. Methodological aspects of tES-fMRI studies underpin the results, and reporting them in appropriate detail is required for reproducibility and interpretability. Despite the growing number of published reports, there are no consensus-based checklists for disclosing methodological details of concurrent tES-fMRI studies. The objective of this work was to develop a consensus-based checklist of reporting standards for concurrent tES-fMRI studies to support methodological rigor, transparency and reproducibility (ContES checklist). A two-phase Delphi consensus process was conducted by a steering committee (SC) of 13 members and 49 expert panelists through the International Network of the tES-fMRI Consortium. The process began with a circulation of a preliminary checklist of essential items and additional recommendations, developed by the SC on the basis of a systematic review of 57 concurrent tES-fMRI studies. Contributors were then invited to suggest revisions or additions to the initial checklist. After the revision phase, contributors rated the importance of the 17 essential items and 42 additional recommendations in the final checklist. The state of methodological transparency within the 57 reviewed concurrent tES-fMRI studies was then assessed by using the checklist. Experts refined the checklist through the revision and rating phases, leading to a checklist with three categories of essential items and additional recommendations: (i) technological factors, (ii) safety and noise tests and (iii) methodological factors. The level of reporting of checklist items varied among the 57 concurrent tES-fMRI papers, ranging from 24% to 76%. On average, 53% of checklist items were reported in a given article. In conclusion, use of the ContES checklist is expected to enhance the methodological reporting quality of future concurrent tES-fMRI studies and increase methodological transparency and reproducibility.
© 2022. © The Author(s).

Entities:  

Mesh:

Year:  2022        PMID: 35121855      PMCID: PMC7612687          DOI: 10.1038/s41596-021-00664-5

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  87 in total

1.  Neural substrates of updating the prediction through prediction error during decision making.

Authors:  Ying Wang; Ning Ma; Xiaosong He; Nan Li; Zhengde Wei; Lizhuang Yang; Rujing Zha; Long Han; Xiaoming Li; Daren Zhang; Ying Liu; Xiaochu Zhang
Journal:  Neuroimage       Date:  2017-05-20       Impact factor: 6.556

2.  Dynamic modulation of intrinsic functional connectivity by transcranial direct current stimulation.

Authors:  Bernhard Sehm; Alexander Schäfer; Judy Kipping; Daniel Margulies; Virginia Conde; Marco Taubert; Arno Villringer; Patrick Ragert
Journal:  J Neurophysiol       Date:  2012-09-19       Impact factor: 2.714

3.  Dynamical Representation of Dominance Relationships in the Human Rostromedial Prefrontal Cortex.

Authors:  Romain Ligneul; Ignacio Obeso; Christian C Ruff; Jean-Claude Dreher
Journal:  Curr Biol       Date:  2016-10-27       Impact factor: 10.834

4.  Intention Modulates the Effect of Punishment Threat in Norm Enforcement via the Lateral Orbitofrontal Cortex.

Authors:  Yuan Zhang; Hongbo Yu; Yunlu Yin; Xiaolin Zhou
Journal:  J Neurosci       Date:  2016-08-31       Impact factor: 6.167

5.  Using transcranial direct-current stimulation to treat stroke patients with aphasia.

Authors:  Julie M Baker; Chris Rorden; Julius Fridriksson
Journal:  Stroke       Date:  2010-04-15       Impact factor: 7.914

6.  Electrical stimulation reduces smokers' craving by modulating the coupling between dorsal lateral prefrontal cortex and parahippocampal gyrus.

Authors:  Li-Zhuang Yang; Bin Shi; Hai Li; Wei Zhang; Ying Liu; Hongzhi Wang; Yanfei Zhou; Ying Wang; Wanwan Lv; Xuebing Ji; Justin Hudak; Yifeng Zhou; Andreas J Fallgatter; Xiaochu Zhang
Journal:  Soc Cogn Affect Neurosci       Date:  2017-08-01       Impact factor: 3.436

7.  The Hippocampus and Neocortical Inhibitory Engrams Protect against Memory Interference.

Authors:  Renée S Koolschijn; Uzay E Emir; Alexandros C Pantelides; Hamed Nili; Timothy E J Behrens; Helen C Barron
Journal:  Neuron       Date:  2018-12-20       Impact factor: 17.173

8.  A Comparison between Uni- and Bilateral tDCS Effects on Functional Connectivity of the Human Motor Cortex.

Authors:  Bernhard Sehm; Judy Kipping; Alexander Schäfer; Arno Villringer; Patrick Ragert
Journal:  Front Hum Neurosci       Date:  2013-05-07       Impact factor: 3.169

9.  Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories.

Authors:  H C Barron; T P Vogels; U E Emir; T R Makin; J O'Shea; S Clare; S Jbabdi; R J Dolan; T E J Behrens
Journal:  Neuron       Date:  2016-03-17       Impact factor: 17.173

10.  GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain.

Authors:  Polytimi Frangou; Marta Correia; Zoe Kourtzi
Journal:  Elife       Date:  2018-10-25       Impact factor: 8.140

View more
  2 in total

1.  Dose-Response Transcranial Electrical Stimulation Study Design: A Well-Controlled Adaptive Seamless Bayesian Method to Illuminate Negative Valence Role in Tinnitus Perception.

Authors:  Iman Ghodratitoostani; Oilson A Gonzatto; Zahra Vaziri; Alexandre C B Delbem; Bahador Makkiabadi; Abhishek Datta; Chris Thomas; Miguel A Hyppolito; Antonio C D Santos; Francisco Louzada; João Pereira Leite
Journal:  Front Hum Neurosci       Date:  2022-05-12       Impact factor: 3.473

Review 2.  The Application of Transcranial Electrical Stimulation in Sports Psychology.

Authors:  Shuzhi Chang
Journal:  Comput Math Methods Med       Date:  2022-07-13       Impact factor: 2.809

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.