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Yang S, Dong H, Albitos PJ, Wang Y, Fang Y, Cao L, Wang J, Sun L, Zhang H. Low-frequency variability in theta activity modulates the attention-fluctuation across task and resting states. Neuropsychologia 2024; 193:108757. [PMID: 38103680 DOI: 10.1016/j.neuropsychologia.2023.108757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/05/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Sustained attention is not constant but fluctuates influencing our task performance. Albeit intensive investigations, it remains unclear whether the attention-fluctuation during tasks is derived from its spontaneous fluctuation in the resting state. Here, we addressed this issue by investigating the attention-fluctuation in both task and resting states, through the EEG measurement of theta-variability. We found significant rest-task modulation of theta-variability, i.e., reduced theta-variability in the task state compared to the resting state. This task and rest modulation was manifested in the low-frequency of theta-variability (<0.1 Hz). Furthermore, the low-frequency theta-variability exhibited a significant rest-task correlation, however, only the low-frequency theta-variability in the task state but not in the resting state was correlated with the behavioral performance. These findings shed light on the low-frequency feature of attention-fluctuation, and advanced our understanding of sustained attention by suggesting that the theta-variability in low-frequencies was relevant to attention level in task state.
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Affiliation(s)
- Shiyou Yang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China; School of Psychology, Northeast Normal University, Changchun, Jilin, China
| | - Huimei Dong
- Centre for Cognition and Brain Disorders, The Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China
| | - Princess Jane Albitos
- Centre for Cognition and Brain Disorders, The Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China
| | - Yaoyao Wang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China
| | - Yantong Fang
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China
| | - Longfei Cao
- Centre for Cognition and Brain Disorders, The Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China
| | - Jinghua Wang
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China; Department of Neurology the Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Li Sun
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hang Zhang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment, Hangzhou, Zhejiang, China.
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Yeh SW, Ma SJ, Park IH, Park HJ, Kug JS. Low frequency changes in CO 2 concentration in East Asia related to Pacific decadal oscillation and Atlantic multi-decadal oscillation for mid-summer and early fall. Sci Total Environ 2023; 876:162377. [PMID: 36828073 DOI: 10.1016/j.scitotenv.2023.162377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 02/17/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
The climatological seasonal maximum and minimum CO2 concentrations in East Asia for 1987-2020 have been recorded at April and August, respectively. We found that the CO2 concentration in East Asia during July, August, and September (JAS) is lower than normal before the late 1990s and after the early 2010s (Low_CO2 period), and higher than normal from the late 1990s to the early 2010s (High_CO2 period). The low-frequency variability of CO2 concentration in East Asia during JAS correlates with both Pacific Decadal Oscillation (PDO) and Atlantic Multi-decadal Oscillation (AMO)-related sea surface temperatures (SSTs). We analyzed atmospheric and oceanic conditions during JAS between the two periods, finding that precipitation in East Asia decreased during JAS in High_CO2 period than that in Low_CO2 period, possibly due to PDO and AMO-related SST forcing, which decreases vegetation's photosynthetic activity. This may lead to a higher CO2 concentration than normal in East Asia in High_CO2 period through reduced uptake of CO2 from the atmosphere. This implies that terrestrial vegetation activity influenced by remote SST forcings should be monitored to better understand regional carbon cycles in East Asia.
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Affiliation(s)
- Sang-Wook Yeh
- Department of Marine Sciences and Convergent Technology, Hanyang University, ERICA, Pohang, South Korea.
| | - Seung-Joo Ma
- Department of Marine Sciences and Convergent Technology, Hanyang University, ERICA, Pohang, South Korea
| | - In-Hong Park
- Department of Marine Sciences and Convergent Technology, Hanyang University, ERICA, Pohang, South Korea
| | - Hee-Jeong Park
- Department of Marine Sciences and Convergent Technology, Hanyang University, ERICA, Pohang, South Korea
| | - Jong-Seong Kug
- Division of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang, South Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, South Korea.; Department of Atmospheric Sciences/Irreversible Climate Change Research Center, Yonsei University, Seoul, South Korea
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