Evaluating a novel high-density EEG sensor net structure for improving inclusivity in infants with curly or tightly coiled hair.

Autor:	Mlandu N; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., McCormick SA; Center for Cognitive and Brain Health, Northeastern University, Boston, MA, USA. Electronic address: sa.mccormick@northeastern.edu., Davel L; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Zieff MR; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Bradford L; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Herr D; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Jacobs CA; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Khumalo A; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Knipe C; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Madi Z; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa; Nelson R. Mandela School of Medicine, University of KwaZulu Natal, Durban, South Africa., Mazubane T; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Methola B; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Mhlakwaphalwa T; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa; Department of Psychology, Rhodes University, Makhanda, South Africa., Miles M; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Nabi ZG; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Negota R; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Nkubungu K; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Pan T; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa; Stanford University School of Medicine, Stanford, CA, USA., Samuels R; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Williams S; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Williams SR; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa., Avery T; Magstim EGI, Whitland, UK., Foster G; Magstim EGI, Whitland, UK., Donald KA; Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa., Gabard-Durnam LJ; Center for Cognitive and Brain Health, Northeastern University, Boston, MA, USA.
Jazyk:	angličtina
Zdroj:	Developmental cognitive neuroscience [Dev Cogn Neurosci] 2024 Jun; Vol. 67, pp. 101396. Date of Electronic Publication: 2024 May 27.
DOI:	10.1016/j.dcn.2024.101396
Abstrakt:	Electroencephalography (EEG) is an important tool in the field of developmental cognitive neuroscience for indexing neural activity. However, racial biases persist in EEG research that limit the utility of this tool. One bias comes from the structure of EEG nets/caps that do not facilitate equitable data collection across hair textures and types. Recent efforts have improved EEG net/cap design, but these solutions can be time-intensive, reduce sensor density, and are more difficult to implement in younger populations. The present study focused on testing EEG sensor net designs over infancy. Specifically, we compared EEG data quality and retention between two high-density saline-based EEG sensor net designs from the same company (Magstim EGI, Whitland, UK) within the same infants during a baseline EEG paradigm. We found that within infants, the tall sensor nets resulted in lower impedances during collection, including lower impedances in the key online reference electrode for those with greater hair heights and resulted in a greater number of usable EEG channels and data segments retained during pre-processing. These results suggest that along with other best practices, the modified tall sensor net design is useful for improving data quality and retention in infant participants with curly or tightly-coiled hair. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu