Exploring sleep problem, cognitive function, and frontal surface using human connectome project
Poster No:
2575
Submission Type:
Abstract Submission
Authors:
Chung-I Su1, Ya-Chuan Huang2, Ting-Ting Chang1,2, Shang-Yueh Tsai1,3, Chien-Ming Yang1,2
Institutions:
1Research Center for Mind, Brain, and Learning, National Chengchi University, Taipei, Taiwan, 2Department of Psychology, National Chengchi University, Taipei, Taiwan, 3Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan
First Author:
Chung-I Su
Research Center for Mind, Brain, and Learning, National Chengchi University
Taipei, Taiwan
Research Center for Mind, Brain, and Learning, National Chengchi University
Taipei, Taiwan
Co-Author(s):
Ting-Ting Chang
Research Center for Mind, Brain, and Learning, National Chengchi University|Department of Psychology, National Chengchi University
Taipei, Taiwan|Taipei, Taiwan
Research Center for Mind, Brain, and Learning, National Chengchi University|Department of Psychology, National Chengchi University
Taipei, Taiwan|Taipei, Taiwan
Shang-Yueh Tsai
Research Center for Mind, Brain, and Learning, National Chengchi University|Graduate Institute of Applied Physics, National Chengchi University
Taipei, Taiwan|Taipei, Taiwan
Research Center for Mind, Brain, and Learning, National Chengchi University|Graduate Institute of Applied Physics, National Chengchi University
Taipei, Taiwan|Taipei, Taiwan
Chien-Ming Yang
Research Center for Mind, Brain, and Learning, National Chengchi University|Department of Psychology, National Chengchi University
Taipei, Taiwan|Taipei, Taiwan
Research Center for Mind, Brain, and Learning, National Chengchi University|Department of Psychology, National Chengchi University
Taipei, Taiwan|Taipei, Taiwan
Introduction:
It has been documented that shorter sleep duration and increased sleep problems reduce individuals' general cognitive function and volumetric subcortical structures (Fjell et al., 2023). However, different cognitive domains may exhibit different associations with sleep. Utilizing the HCP dataset, the present study aims to elucidate whether specific cognitive domains are particularly vulnerable to variations in sleep duration and problems, and whether these cognitive changes correspond to noticeable brain structure alterations.
Methods:
The sleep indexes, cognitive performances, and brain structural measurements were acquired from the HCP Young Adult 1200 Subject Data Release at https://db.humanconnectome.org/data/projects/HCP_1200. Figure 1 lists the participant selection criteria for the present study. In sleep group analyses, 666 participants fulfilled the classification criteria, and no missing data on cognitive and brain measurements were included. Participants were screened into four groups based on responses from the Pittsburgh Sleep Quality Index (PSQI) in sleep duration (short ≤ 6 hours vs. recommended 7~8 hours) and sleep problems (none vs. multiple), following the same criteria used by Fjell et al. (2023). Different cognitive functions were accessed based on age-adjusted scores on different tasks of the NIH toolbox. The Crystallized cognitive score represented the averaging of the two language tasks (Picture Vocabulary and Reading Recognition), Fluid cognitive score represented the averaging of five other tasks (Flanker, Dimensional Change Card Sort, Picture Sequence Memory, List Sorting and Pattern Comparison, and Pattern Completion), and individual score for each task were included in analyses. Among global/regional cortical/subcortical morphometric measurements, only several cortical frontal surface areas were included as the regions of interest due to their roles in higher cognitive functions, including superior frontal, rostral, and caudal middle frontal, lateral, and medial orbitofrontal, pars opercularis, triangularis, and orbitalis areas. In sleep group analyses, including four sleep groups: Short sleep & No sleep problem (SN), Short sleep & Multiple sleep problems (SM), Recommended sleep & No sleep problem (RN), and Recommended sleep & Multiple sleep problems (RM), and multiple comparisons were conducted to examine group differences in cognitive performances and frontal surface areas. In mediation analyses, 1096 participants with no missing data were included to examine whether significant frontal surface areas mediate the associations between sleep duration or problems with the crystallized cognitive score.
Results:
Among short sleepers (SM vs. SN), SM demonstrated significantly lower cognitive performance in picture vocabulary (t=-4.43, p=.036), reading recognition (t=-4.86, p=.019), and crystallized cognitive score (t=-5.74, p=.016). A similar pattern of results was observed in comparisons between recommended sleepers (RM vs. RN), with t=-3.89 & p=.016, t=-5.14 & p<.001, and t=-5.75 & p<.001, respectively. Among frontal surface areas, significant differences between groups were observed only among short sleepers, with SM showing significant reductions in left and right superior frontal (t=-283.73, p=.009; t=-233.34, p=.035), left caudal middle frontal (t=-115.95, p=.034), right lateral orbitofrontal (t= -99.29, p=.017), and right pars opercularis areas (t=-63.15, p=.04). Mediation analyses revealed that specific frontal surface areas significantly mediate the associations between sleep duration or problems and crystallized cognitive scores (see Figure 2).
Conclusions:
Sleep problems adversely impact crystallized cognitive functions regardless of variations in sleep duration, while a sleep duration below 6 hours is linked to reduced frontal surface areas. To further understand these differences, future studies should explore underling mechanisms and investigate additional sleep indexes as potential brain health markers.
Higher Cognitive Functions:
Higher Cognitive Functions Other
Language:
Language Other
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Cortical Anatomy and Brain Mapping 2
Perception, Attention and Motor Behavior:
Sleep and Wakefulness 1
Keywords:
Cognition
Language
Sleep
1|2Indicates the priority used for review