Poster No:
1153
Submission Type:
Abstract Submission
Authors:
Yi-Fang Hsu1, Chia-An Tu1, Jarmo Hämäläinen2
Institutions:
1National Taiwan Normal University, Taipei, Taiwan, 2University of Jyväskylä, Jyväskylä, Finland
First Author:
Yi-Fang Hsu
National Taiwan Normal University
Taipei, Taiwan
Co-Author(s):
Chia-An Tu
National Taiwan Normal University
Taipei, Taiwan
Introduction:
Predictive coding is postulated to be a fundamental principle of brain functioning. Previous research suggested that senescence is accompanied by an increased weighting of prediction (Moran et al., 2014; Wolpe et al., 2016; Chan et al., 2021) and a hierarchy-selective attenuation of prediction error (PE) (Hsu et al., 2021, 2023). However, it is less clear when it starts and how it develops across lifespan.
Methods:
To delineate the developmental trajectory of predictive processing, we recorded EEG from a cohort of 406 healthy participants between 15-82 years of age using an auditory local-global paradigm, which orthogonally manipulated first-order and second-order regularities to elicit local and global PE (Bekinschtein et al., 2009). Cortical responses signalling PE were identified with a temporal principal component analysis (PCA). Participants also underwent a neuropsychological test battery where their working memory was measured with subtests in Wechsler Adult Intelligence Scale IV.
Results:
Significant age-related decline can be seen on local PE (MMN and P3a), global PE (FN and P3b), as well as working memory measures. PE declines at a slower rate locally (0.010-0.017 units/yo) and a faster rate globally (0.013-0.022 units/yo). Concerning the most significant change point, for local PE it happens earlier (37-43 yo) while for global PE it happens later (44-48 yo). Both happen after working memory decline (which declines at a rate of 0.071 units/yo with the most significant change point at 32 yo) and well before retirement age. Interestingly, only 12-13% of the variability in global PE can be explained by local PE. Age effect on global PE remains significant when local PE serve as mediators. Lastly, while local P3a correlates with working memory before age is partialled out, global P3b correlates with working memory both before and after age is partialled out. Further examination of the correlation across age shows that the association only starts to emerge from ca. 34 yo onwards.
Conclusions:
Senescence affects local and global PE at different rates. While the aging brain shows a hierarchy-selective attenuation of PE, the attenuated local PE only contributes partially to the attenuated global PE. The attenuated global PE does not only reflect the process of aging but might serve as a marker for cognitive impairment.
Learning and Memory:
Working Memory
Lifespan Development:
Aging 1
Modeling and Analysis Methods:
EEG/MEG Modeling and Analysis
Perception, Attention and Motor Behavior:
Perception: Auditory/ Vestibular 2
Keywords:
Aging
Electroencephaolography (EEG)
Hearing
Memory
Perception
1|2Indicates the priority used for review
Provide references using author date format
Bekinschtein TA, Dehaene S, Rohaut B, Tadel F, Cohen L, Naccache L (2009) Neural signature of the conscious processing of auditory regularities. Proc Natl Acad Sci U S A 106:1672-1677.
Chan JS, Wibral M, Stawowsky C, Brandl M, Helbling S, Naumer MJ, Kaiser J, Wollstadt P (2021) Predictive coding over the lifespan: increased reliance on perceptual priors in older adults- a magnetoencephalography and dynamic causal modeling study. Front Aging Neurosci 13:631599.
Hsu YF, Waszak F, Strömmer J, Hämäläinen JA (2021) Human brain ages with hierarchy-selective attenuation of prediction errors. Cereb Cortex 31:2156-2168.
Hsu YF, Tu CA, Bekinschtein TA, Hämäläinen JA. (2023) Longitudinal evidence for attenuated local-global deviance detection as a precursor of working memory decline. eNeuro 10(8):ENEURO.0156-23.2023.
Moran RJ, Symmonds M, Dolan RJ, Friston KJ (2014) The brain ages optimally to model its environment: evidence from sensory learning over the adult lifespan. PLoS Comput Biol 10:e1003422.
Wolpe N, Ingram JN, Tsvetanov KA, Geerligs L, Kievit RA, Henson RN, Wolpert DM; Cam-CAN; Rowe JB (2016) Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits. Nat Commun 7:13034.