Resting state aperiodic slope predicts Research Domain Criteria Social Processes in young typically developing adults DOI Creative Commons
Talitha C. Ford, Aron T. Hill, Nina-Francesca Parrella

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 22, 2023

Abstract Background The aperiodic exponent has been utilised to demonstrate differences in brain excitation-inhibition (E/I) ageing, cognition, and neuro- psycho-pathology. Furthermore, E/I imbalance associated with social communication difficulties clinical non-clinical cohorts. No work date, however, explored the association between activity difficulties. Methods A total of 40 typically developing young adults aged 18-24 (24 female; age mean=21.6, SD=1.9) each underwent 5 minutes eyes open closed resting state EEG using a 64-channel HydroCel Geodesic Sensor Net. Participants also completed Research Domain Criteria Social Processes measures: Responsiveness Scale (SRS), Reading Mind Eyes task (RME), Penn Emotional Recognition Task (ER-40). Results Sex offset were observed, steeper greater observed males, suggestive inhibitory tone ( p s<.05). Whole-brain was not SRS, RME, or ER-40. There some support for increased SRS scores right (suggestive excitatory tone), this significant =.068). Conclusions These preliminary data show promise supporting notion that is processing difficulties, larger samples are needed validate these findings.

Language: Английский

Electroencephalography Estimates Brain Age in Infants with High Precision: Leveraging Advanced Machine Learning in Healthcare DOI Creative Commons

Saeideh Davoudi,

Gabriela López‐Arango, Florence Deguire

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121200 - 121200

Published: April 1, 2025

Changes in the pace of neurodevelopment are key indicators atypical maturation during early life. Unfortunately, reliable prognostic tools rely on assessments cognitive and behavioral skills that develop towards second year life after. Early assessment brain using electroencephalography (EEG) is crucial for clinical intervention care planning. We developed a methodology conventional machine learning (ML) novel deep (DL) networks to efficiently quantify difference between chronological biological age, so-called age gap (BAG) as marker accelerated/decelerated development. In this cross-sectional study, EEG from 219 typically-developing infants aged three 14-months was used. For DL networks, input samples were increased 2,628 recordings. further validated BAG tool population at risk with abnormal growth (macrocephaly) capture deviation normal aging. Our results indicate outperform ML models, capturing complex non-monotonic characteristics predicting mean absolute error only one month (MAE=1 month, 95%CI:0.88-1.15, r=0.82, 95%CI:0.78-0.85). Additionally, developing follows trajectory characterized by non-linearity complexity which alpha rhythm plays an important role. could detect group-level maturational delays macrocephaly (pvalue=0.009). macrocephaly, negatively correlated general adaptive composite ABAS-II (pvalue=0.04) 18-months information processing speed scale WPSSI-IV four (pvalue=0.006). The EEG-based score offers non-invasive measure maturation, significant advantages implications developmental neuroscience practice.

Language: Английский

Citations

0

Resting state aperiodic slope predicts Research Domain Criteria Social Processes in young typically developing adults DOI Creative Commons
Talitha C. Ford, Aron T. Hill, Nina-Francesca Parrella

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 22, 2023

Abstract Background The aperiodic exponent has been utilised to demonstrate differences in brain excitation-inhibition (E/I) ageing, cognition, and neuro- psycho-pathology. Furthermore, E/I imbalance associated with social communication difficulties clinical non-clinical cohorts. No work date, however, explored the association between activity difficulties. Methods A total of 40 typically developing young adults aged 18-24 (24 female; age mean=21.6, SD=1.9) each underwent 5 minutes eyes open closed resting state EEG using a 64-channel HydroCel Geodesic Sensor Net. Participants also completed Research Domain Criteria Social Processes measures: Responsiveness Scale (SRS), Reading Mind Eyes task (RME), Penn Emotional Recognition Task (ER-40). Results Sex offset were observed, steeper greater observed males, suggestive inhibitory tone ( p s<.05). Whole-brain was not SRS, RME, or ER-40. There some support for increased SRS scores right (suggestive excitatory tone), this significant =.068). Conclusions These preliminary data show promise supporting notion that is processing difficulties, larger samples are needed validate these findings.

Language: Английский

Citations

0