[article]
| Titre : |
Remote EEG acquisition in Angelman syndrome using PANDABox-EEG |
| Type de document : |
texte imprimé |
| Auteurs : |
Kimberly GÁLVEZ-ORTEGA, Auteur ; Roslyn HAROLD, Auteur ; Wei Siong NEO, Auteur ; Orlando S. HOILETT, Auteur ; Amanda M. BOROSH, Auteur ; Alexa FRIESEN-HAARER, Auteur ; Stephanie GOMBAS, Auteur ; Dan FOTI, Auteur ; Bridgette KELLEHER, Auteur |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Humans Angelman Syndrome/physiopathology/diagnosis Electroencephalography/methods/instrumentation Male Child Female Child, Preschool Telemedicine Adolescent Caregivers Adult Reproducibility of Results Angelman syndrome Assessment Delta Eeg Reliability Telehealth |
| Index. décimale : |
PER Périodiques |
| Résumé : |
OBJECTIVE: We describe the development and validation of PANDABox-EEG, a novel protocol for remote EEG assessment with no on-site technician, tailored for Angelman syndrome (AS). We argue that this protocol is reliable, valid, and widely acceptable for use in families affected by Angelman syndrome. BACKGROUND: AS is a rare neurogenetic condition characterized by developmental delays, sleep problems, seizures, and a happy demeanor. People with AS are frequently monitored via EEG to inform clinical care, and EEG-measured delta activity has been proposed as a reliable biomarker to monitor treatment effectiveness. Traditional EEG assessments pose logistical and financial burdens for families due to the need to travel to a medical center to complete assessments. Telehealth methods, however, offer a pathway forward. METHODS: PANDABox-EEG was developed through multidisciplinary collaboration with psychologists, psychophysiologists, engineers, and special-education scholars, incorporating caregiver feedback and user-centered design principles. It pairs PANDABox, a telehealth platform for biobehavioral assessment in rare disorders, with a dry electrode EEG system. Twenty-eight participants (7 AS, 7 siblings, 14 caregivers) completed three 5-min EEG sessions each over the course of a week. Caregivers were asked to provide feedback on acceptability of the design, and EEG data was quantified and assessed for metrics of reliability and validity. RESULTS: PANDABox-EEG demonstrated high feasibility and acceptability, with 91% of caregivers reporting strong satisfaction assessment comfort. EEG data quality was promising, with high internal consistency (split-half reliability range for children with AS: r = .96-.98) and test-retest reliability for delta power among (test-retest reliability range for children with AS: ρ = .88-.96). Finally, we successfully detected the characteristic increased delta power in AS (effect size between AS and non-AS siblings: d = 1.56-2.85) and its association with age (effect size between non-AS siblings and caregivers: d = 2.19-2.72). CONCLUSION: PANDABox-EEG provides a feasible, cost-effective, and reliable method for remote EEG assessment in AS. Its high caregiver satisfaction and ability to capture relevant neurophysiological markers suggest potential for broader application. With further validation, PANDABox-EEG can enhance accessibility and inclusivity, benefiting clinical management and research in AS and other clinical populations in need of frequent EEG monitoring by eliminating the need to travel. |
| En ligne : |
https://dx.doi.org/10.1186/s11689-025-09611-x |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 |
in Journal of Neurodevelopmental Disorders > 17 (2025)
[article] Remote EEG acquisition in Angelman syndrome using PANDABox-EEG [texte imprimé] / Kimberly GÁLVEZ-ORTEGA, Auteur ; Roslyn HAROLD, Auteur ; Wei Siong NEO, Auteur ; Orlando S. HOILETT, Auteur ; Amanda M. BOROSH, Auteur ; Alexa FRIESEN-HAARER, Auteur ; Stephanie GOMBAS, Auteur ; Dan FOTI, Auteur ; Bridgette KELLEHER, Auteur. Langues : Anglais ( eng) in Journal of Neurodevelopmental Disorders > 17 (2025)
| Mots-clés : |
Humans Angelman Syndrome/physiopathology/diagnosis Electroencephalography/methods/instrumentation Male Child Female Child, Preschool Telemedicine Adolescent Caregivers Adult Reproducibility of Results Angelman syndrome Assessment Delta Eeg Reliability Telehealth |
| Index. décimale : |
PER Périodiques |
| Résumé : |
OBJECTIVE: We describe the development and validation of PANDABox-EEG, a novel protocol for remote EEG assessment with no on-site technician, tailored for Angelman syndrome (AS). We argue that this protocol is reliable, valid, and widely acceptable for use in families affected by Angelman syndrome. BACKGROUND: AS is a rare neurogenetic condition characterized by developmental delays, sleep problems, seizures, and a happy demeanor. People with AS are frequently monitored via EEG to inform clinical care, and EEG-measured delta activity has been proposed as a reliable biomarker to monitor treatment effectiveness. Traditional EEG assessments pose logistical and financial burdens for families due to the need to travel to a medical center to complete assessments. Telehealth methods, however, offer a pathway forward. METHODS: PANDABox-EEG was developed through multidisciplinary collaboration with psychologists, psychophysiologists, engineers, and special-education scholars, incorporating caregiver feedback and user-centered design principles. It pairs PANDABox, a telehealth platform for biobehavioral assessment in rare disorders, with a dry electrode EEG system. Twenty-eight participants (7 AS, 7 siblings, 14 caregivers) completed three 5-min EEG sessions each over the course of a week. Caregivers were asked to provide feedback on acceptability of the design, and EEG data was quantified and assessed for metrics of reliability and validity. RESULTS: PANDABox-EEG demonstrated high feasibility and acceptability, with 91% of caregivers reporting strong satisfaction assessment comfort. EEG data quality was promising, with high internal consistency (split-half reliability range for children with AS: r = .96-.98) and test-retest reliability for delta power among (test-retest reliability range for children with AS: ρ = .88-.96). Finally, we successfully detected the characteristic increased delta power in AS (effect size between AS and non-AS siblings: d = 1.56-2.85) and its association with age (effect size between non-AS siblings and caregivers: d = 2.19-2.72). CONCLUSION: PANDABox-EEG provides a feasible, cost-effective, and reliable method for remote EEG assessment in AS. Its high caregiver satisfaction and ability to capture relevant neurophysiological markers suggest potential for broader application. With further validation, PANDABox-EEG can enhance accessibility and inclusivity, benefiting clinical management and research in AS and other clinical populations in need of frequent EEG monitoring by eliminating the need to travel. |
| En ligne : |
https://dx.doi.org/10.1186/s11689-025-09611-x |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 |
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