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Goodhew SC, Edwards M. A meta-analysis on the relationship between subjective cognitive failures as measured by the cognitive failures questionnaire (CFQ) and objective performance on executive function tasks. Psychon Bull Rev 2024:10.3758/s13423-024-02573-6. [PMID: 39249726 DOI: 10.3758/s13423-024-02573-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2024] [Indexed: 09/10/2024]
Abstract
The Cognitive Failures Questionnaire (CFQ) has been widely used as a measure of subjective cognitive function in everyday life for decades. However, the evidence on how it relates to objective performance on executive function tasks is mixed. One possible reason for these mixed results is that the CFQ has selective relationships with some aspects of executive function and not others. Here, therefore, we classified tasks according to an influential framework of executive functions-switching, updating, inhibition, and we also considered the Sustained Attention to Response Task (SART) as a category because it was custom designed to gauge cognitive failures. We synthesized a large body of available evidence and performed four Bayesian meta-analyses on the relationship between CFQ scores and objective performance on executive function tasks in these four categories. Results suggested that CFQ scores were associated with objective performance on SART (18 effect sizes, μ = -.19, BF10 = 18.03, i.e., 18.03 times more evidence of a relationship versus no relationship), updating working memory (49 effect sizes, μ = -.06, BF10 = 17.80), and inhibition tasks (41 effect sizes, μ = -.07, BF10 = 15.40), whereas there was not definitive evidence regarding switching (34 effect sizes, μ = -.06, BF10 = .50, i.e., two times greater evidence for no relationship). This suggests that subjective cognitive function can predict objective performance on at least some executive function tasks. We discuss methodological and theoretical factors that constrain the maximum observable correlation and consider the relative insights that subjective measures versus task performance provide.
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Affiliation(s)
- Stephanie C Goodhew
- School of Medicine and Psychology, The Australian National University, Canberra, Australia.
| | - Mark Edwards
- School of Medicine and Psychology, The Australian National University, Canberra, Australia
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van Oordt M, Ouwehand K, Paas F. Restorative Effects of Observing Natural and Urban Scenery after Working Memory Depletion. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:188. [PMID: 36612512 PMCID: PMC9819488 DOI: 10.3390/ijerph20010188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/14/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
According to attention restoration theory observing nature has restorative effects on cognitive components, such as working memory, after a cognitive depleting task. Additionally, urban environments are thought to have no effect or even a negative effect on cognitive restoration. Previous research has confirmed that observing actual, as well as digitally presented nature sceneries leads to more restoration of working memory capacity (WMC) than observing (digital) urban sceneries. To further investigate these findings, we conducted an experiment with 72 university students as participants. After a WMC depleting task, participants observed either digitally presented nature scenery, urban scenery or no scenery, and subsequently performed a digit span test, which was used to measure restoration of WMC. Results indicated significant higher performance on the digit span test for those who observed nature scenery in comparison to those who observed urban scenery or no scenery, thereby replicating results from previous research. Observing urban scenery was neither harmful nor helpful in terms of cognitive restoration compared to observing no scenery. These findings provide a foundation for implementing a brief intervention of observing nature in academic settings to facilitate the restoration of WMC.
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Affiliation(s)
- Menno van Oordt
- Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
| | - Kim Ouwehand
- Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
| | - Fred Paas
- Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
- School of Education/Early Start, University of Wollongong, Keiraville, NSW 2522, Australia
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Wang J, Zhou S, Deng D, Chen M, Cai H, Zhang C, Liu F, Luo W, Zhu J, Yu Y. Compensatory thalamocortical functional hyperconnectivity in type 2 Diabetes Mellitus. Brain Imaging Behav 2022; 16:2556-2568. [PMID: 35922652 DOI: 10.1007/s11682-022-00710-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2022] [Indexed: 11/26/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is associated with brain damage and cognitive decline. Despite the fact that the thalamus involves aspects of cognition and is typically affected in T2DM, existing knowledge of subregion-level thalamic damage and its associations with cognitive performance in T2DM patients is limited. The thalamus was subdivided into 8 subregions in each hemisphere. Resting-state functional and structural MRI data were collected to calculate resting-state functional connectivity (rsFC) and gray matter volume (GMV) of each thalamic subregion in 62 T2DM patients and 50 healthy controls. Compared with controls, T2DM patients showed increased rsFC of the medial pre-frontal thalamus, posterior parietal thalamus, and occipital thalamus with multiple cortical regions. Moreover, these thalamic functional hyperconnectivity were associated with better cognitive performance and lower glucose variability in T2DM patients. However, there were no group differences in GMV for any thalamic subregions. These findings suggest a possible neural compensation mechanism whereby selective thalamocortical functional hyperconnectivity facilitated by better glycemic control help to preserve cognitive ability in T2DM patients, which may ultimately inform intervention and prevention of T2DM-related cognitive decline in real-world clinical settings.
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Affiliation(s)
- Jie Wang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, 230032, Hefei, Anhui Province, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Shanlei Zhou
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
| | - Datong Deng
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
| | - Mimi Chen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, 230032, Hefei, Anhui Province, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, 230032, Hefei, Anhui Province, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China
| | - Fujun Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China
| | - Wei Luo
- Department of Radiology, Chaohu Hospital of Anhui Medical University, 238000, Chaohu, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China.
- Research Center of Clinical Medical Imaging, 230032, Hefei, Anhui Province, China.
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, 230022, Hefei, China.
- Research Center of Clinical Medical Imaging, 230032, Hefei, Anhui Province, China.
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China.
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