eXplainable Artificial Intelligence (XAI) in aging clock models

A Kalyakulina, I Yusipov, A Moskalev… - Ageing Research …, 2023 - Elsevier
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …

Electroencephalographic studies in growth-restricted and small-for-gestational-age neonates

NJ Stevenson, MM Lai, HE Starkman, PB Colditz… - Pediatric …, 2022 - nature.com
Foetal growth restriction (FGR) and being born small for gestational age (SGA) are
associated with neurodevelopmental delay. Early diagnosis of neurological damage is …

The speed of development of adolescent brain age depends on sex and is genetically determined

RM Brouwer, J Schutte, R Janssen… - Cerebral …, 2021 - academic.oup.com
Children and adolescents show high variability in brain development. Brain age—the
estimated biological age of an individual brain—can be used to index developmental stage …

Co-increasing neuronal noise and beta power in the developing brain

W He, T Donoghue, PF Sowman, RA Seymour, J Brock… - BioRxiv, 2019 - biorxiv.org
Accumulating evidence across species indicates that brain oscillations are superimposed
upon an aperiodic 1/f-like power spectrum. Maturational changes in neuronal oscillations …

Heritability of REM sleep neurophysiology in adolescence

A Markovic, M Kaess, L Tarokh - Translational psychiatry, 2022 - nature.com
Alterations of rapid eye movement (REM) sleep have long been observed in patients with
psychiatric disorders and proposed as an endophenotype—a link between behavior and …

[HTML][HTML] Mapping neurodevelopment with sleep macro-and micro-architecture across multiple pediatric populations

N Kozhemiako, AW Buckley, RD Chervin, S Redline… - NeuroImage: Clinical, 2024 - Elsevier
Profiles of sleep duration and timing and corresponding electroencephalographic activity
reflect brain changes that support cognitive and behavioral maturation and may provide …

Application of bi-directional long-short-term memory network in cognitive age prediction based on EEG signals

SB Wong, Y Tsao, WH Tsai, TS Wang, HC Wu… - Scientific Reports, 2023 - nature.com
Electroencephalography (EEG) measures changes in neuronal activity and can reveal
significant changes from infancy to adulthood concomitant with brain maturation, making it a …

The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining …

JL Meyers, DB Chorlian, TB Bigdeli… - Translational …, 2021 - nature.com
Neurodevelopmental abnormalities in neural connectivity have been long implicated in the
etiology of schizophrenia (SCZ); however, it remains unclear whether these neural …

Social conformity is associated with inter‐trial electroencephalogram variability

H Zhang, K Zhang, Z Zhang, M Zhao… - Annals of the New …, 2023 - Wiley Online Library
Human society encompasses diverse social influences, and people experience events
differently and may behave differently under such influence, including in forming an …

Large‐scale collaboration in ENIGMA‐EEG: a perspective on the meta‐analytic approach to link neurological and psychiatric liability genes to electrophysiological …

DJA Smit, OA Andreassen, DI Boomsma… - Brain and …, 2021 - Wiley Online Library
Background and purpose The ENIGMA‐EEG working group was established to enable large‐
scale international collaborations among cohorts that investigate the genetics of brain …