Cognitive studies have suggested that anxiety is correlated with cognitive performance. Previous research has focused on the relationship between anxiety level and the perceptual load within the frontal region, such as the dorsolateral prefrontal and anterior cingulate cortices. High-anxious individuals are predicted to have worse performance on cognitively-demanding tasks requiring efficient cognitive processing. A few functional magnetic resonance imaging studies have specifically discussed the performance and brain activity involving working memory for high-anxious individuals. This topic has been further explored with electroencephalography, although these studies have mostly provided results involving visual face-related stimuli. In this study, we used auditory stimulation to manipulate the working memory load and attempted to interpret the deficiency of cognitive function in high-anxious participants or patients using functional near infrared spectroscopy (fNIRS). The fNIRS signals of 30 participants were measured while they were performing an auditory working memory task. For the auditory -back task, there were three experimental conditions, including two -back task conditions of stimuli memorization with different memory load and a condition of passive listening to the stimuli. Hemodynamic responses from frontal brain regions were recorded using a wireless fNIRS device. Brain activation from the ventrolateral and orbital prefrontal cortex were measured with signals filtered and artifacts removed. The fNIRS signals were then standardized with statistical testing and group analysis was performed. The results revealed that there were significantly stronger hemodynamic responses in the right ventrolateral and orbital prefrontal cortex when subjects were attending to the auditory working memory task with higher load. Furthermore, the right lateralization of the prefrontal cortex was negatively correlated with the level of state anxiety. This study revealed the possibility of incorporating fNIRS signals as an index to evaluate cognitive performance and mood states given its flexibility regarding portable applications compared to other neuroimaging techniques.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090525 | PMC |
http://dx.doi.org/10.3389/fnhum.2018.00313 | DOI Listing |
Sci Rep
January 2025
Department of Psychological Sciences, Rice University, 6100 Main St, Houston, TX, 77005, USA.
Retirement has been associated with cognitive decline beyond normal age-related decline. However, there are many individual differences in retirement that can influence cognition. Subclinical depressive symptoms are common in late life and are associated with general memory decline and a bias towards remembering negative events (i.
View Article and Find Full Text PDFSci Data
January 2025
Department of Earth and Environmental Engineering, Columbia University, New York, USA.
The Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) missions have provided estimates of Terrestrial Water Storage Anomalies (TWSA) since 2002, enabling the monitoring of global hydrological changes. However, temporal gaps within these datasets and the lack of TWSA observations prior to 2002 limit our understanding of long-term freshwater variability. In this study, we develop GRAiCE, a set of four global monthly TWSA reconstructions from 1984 to 2021 at 0.
View Article and Find Full Text PDFBrain Res
January 2025
Department of Computing Science, University of Alberta Edmonton Alberta Canada; Alberta Machine Intelligence Institute Edmonton Alberta Canada; Canada Institute for Advanced Research (CIFAR) AI Chair, Canada.
Humans are excellent at modifying our behaviour depending on context. For example, humans will change how they explore when losses are possible compared to when they are not possible. However, it remains unclear what specific cognitive and neural processes are modulated when exploring in different contexts.
View Article and Find Full Text PDFAm J Obstet Gynecol
January 2025
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Background: Menstrual cycle characteristics are potential indicators of hormonal exposures and may also signal cardiovascular disease risk factors, both of which are relevant to cognitive health. However, there is scarce epidemiological evidence on the association between cycle characteristics and cognitive function.
Objectives: We studied the associations of menstrual cycle characteristics at three stages of a woman's reproductive lifespan with cognitive function in midlife.
Unlabelled: We investigated the impact of participation in post-secondary university education (PSE) on the academic knowledge of adult students with severe intellectual disability and extensive support needs (SIDESN) vs. a similar group of controls who did not participate in PSE. We also examined whether the PSE would result in a "near transfer" to basic crystallized (facts and information) and fluid (problems involving executive functions and working memory) cognitive abilities, the contribution of background characteristics and crystallized and fluid abilities to their academic knowledge, semantic fluency and temporal relations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!