Dataset Information

Digitalized transcranial electrical stimulation: A consensus statement.

ABSTRACT:

Objective

Although relatively costly and non-scalable, non-invasive neuromodulation interventions are treatment alternatives for neuropsychiatric disorders. The recent developments of highly-deployable transcranial electric stimulation (tES) systems, combined with mobile-Health technologies, could be incorporated in digital trials to overcome methodological barriers and increase equity of access. The study aims are to discuss the implementation of tES digital trials by performing a systematic scoping review and strategic process mapping, evaluate methodological aspects of tES digital trial designs, and provide Delphi-based recommendations for implementing digital trials using tES.

Methods

We convened 61 highly-productive specialists and contacted 8 tES companies to assess 71 issues related to tES digitalization readiness, and processes, barriers, advantages, and opportunities for implementing tES digital trials. Delphi-based recommendations (>60% agreement) were provided.

Results

The main strengths/opportunities of tES were: (i) non-pharmacological nature (92% of agreement), safety of these techniques (80%), affordability (88%), and potential scalability (78%). As for weaknesses/threats, we listed insufficient supervision (76%) and unclear regulatory status (69%). Many issues related to methodological biases did not reach consensus. Device appraisal showed moderate digitalization readiness, with high safety and potential for trial implementation, but low connectivity.

Conclusions

Panelists recognized the potential of tES for scalability, generalizability, and leverage of digital trials processes; with no consensus about aspects regarding methodological biases.

Significance

We further propose and discuss a conceptual framework for exploiting shared aspects between mobile-Health tES technologies with digital trials methodology to drive future efforts for digitizing tES trials.

SUBMITTER: Brunoni AR

PROVIDER: S-EPMC10031774 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Digitalized transcranial electrical stimulation: A consensus statement.

Brunoni Andre R AR Ekhtiari Hamed H Antal Andrea A Auvichayapat Paradee P Baeken Chris C Benseñor Isabela M IM Bikson Marom M Boggio Paulo P Borroni Barbara B Brighina Filippo F Brunelin Jerome J Carvalho Sandra S Caumo Wolnei W Ciechanski Patrick P Charvet Leigh L Clark Vincent P VP Cohen Kadosh Roi R Cotelli Maria M Datta Abhishek A Deng Zhi-De ZD De Raedt Rudi R De Ridder Dirk D Fitzgerald Paul B PB Floel Agnes A Frohlich Flavio F George Mark S MS Ghobadi-Azbari Peyman P Goerigk Stephan S Hamilton Roy H RH Jaberzadeh Shapour J SJ Hoy Kate K Kidgell Dawson J DJ Zonoozi Arash Khojasteh AK Kirton Adam A Laureys Steven S Lavidor Michal M Lee Kiwon K Leite Jorge J Lisanby Sarah H SH Loo Colleen C Martin Donel M DM Miniussi Carlo C Mondino Marine M Monte-Silva Katia K Morales-Quezada Leon L Nitsche Michael A MA Okano Alexandre H AH Oliveira Claudia S CS Onarheim Balder B Pacheco-Barrios Kevin K Padberg Frank F Nakamura-Palacios Ester M EM Palm Ulrich U Paulus Walter W Plewnia Christian C Priori Alberto A Rajji Tarek K TK Razza Lais B LB Rehn Erik M EM Ruffini Giulio G Schellhorn Klaus K Zare-Bidoky Mehran M Simis Marcel M Skorupinski Pawel P Suen Paulo P Thibaut Aurore A Valiengo Leandro C L LCL Vanderhasselt Marie-Anne MA Vanneste Sven S Venkatasubramanian Ganesan G Violante Ines R IR Wexler Anna A Woods Adam J AJ Fregni Felipe F

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 20220905

<h4>Objective</h4>Although relatively costly and non-scalable, non-invasive neuromodulation interventions are treatment alternatives for neuropsychiatric disorders. The recent developments of highly-deployable transcranial electric stimulation (tES) systems, combined with mobile-Health technologies, could be incorporated in digital trials to overcome methodological barriers and increase equity of access. The study aims are to discuss the implementation of tES digital trials by performing a syste ...[more]

PMID: 36115809

Similar Datasets

Project description:Electrical impedance tomography (EIT) is a non-invasive real-time non-ionising imaging modality that has many applications. Since the first recorded use in 1978, the technology has become more widely used especially in human adult and neonatal critical care monitoring. Recently, there has been an increase in research on thoracic EIT in veterinary medicine. Real-time imaging of the thorax allows evaluation of ventilation distribution in anesthetised and conscious animals. As the technology becomes recognised in the veterinary community there is a need to standardize approaches to data collection, analysis, interpretation and nomenclature, ensuring comparison and repeatability between researchers and studies. A group of nineteen veterinarians and two biomedical engineers experienced in veterinary EIT were consulted and contributed to the preparation of this statement. The aim of this consensus is to provide an introduction to this imaging modality, to highlight clinical relevance and to include recommendations on how to effectively use thoracic EIT in veterinary species. Based on this, the consensus statement aims to address the need for a streamlined approach to veterinary thoracic EIT and includes: an introduction to the use of EIT in veterinary species, the technical background to creation of the functional images, a consensus from all contributing authors on the practical application and use of the technology, descriptions and interpretation of current available variables including appropriate statistical analysis, nomenclature recommended for consistency and future developments in thoracic EIT. The information provided in this consensus statement may benefit researchers and clinicians working within the field of veterinary thoracic EIT. We endeavor to inform future users of the benefits of this imaging modality and provide opportunities to further explore applications of this technology with regards to perfusion imaging and pathology diagnosis.

Dataset Information

Digitalized transcranial electrical stimulation: A consensus statement.

Objective

Methods

Results

Conclusions

Significance

Publications

Digitalized transcranial electrical stimulation: A consensus statement.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets