A homogeneous sample of 14 patients with advanced chronic bronchitis and emphysema complicated by secondary polycythaemia and pulmonary hypertension was examined. Eight patients who were receiving long-term oxygen therapy (LTO2) for 15-20 h in the 24 h day showed a significantly faster, that is more normal, frequency of the dominant EEG activity and a higher level of arterial oxygenation when breathing air than six similar patients not receiving LTO2. Acute administration of oxygen (2 1/min) for 15 min did not change the EEG pattern in either group of patients. The frequency of the dominant EEG activity in all 14 patients showed a significant positive correlation with the arterial oxygen saturation and negative correlation with the level of polycythaemia. Occurrence of intermixed EEG show activity theta and delta was positively correlated both with hypoxaemia and hypercapnia. The results suggest that the LTO2 in patients with chronic ventilatory failure has a beneficial effect on cerebral function as measured by EEG.
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BMC Psychol
January 2025
Faculty of Psychology, Naval Medical University, Shanghai, China.
Anxiety is known to significantly impair cognitive function, particularly attentional control. While exercise has been demonstrated to alleviate these cognitive deficits, the precise neural mechanisms underlying these effects remain poorly understood. This study examines the effects of exercise on attentional control in individuals with high trait anxiety, based on attentional control theory, which suggests that such individuals have reduced top-down attention.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
Gamma oscillations are essential for brain communication. The 40 Hz neural oscillation deficits in schizophrenia impair left frontotemporal connectivity and information communication, causing auditory hallucinations. Transcranial alternating current stimulation is thought to enhance connectivity between different brain regions by modulating brain oscillations.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Psychology, Guangzhou University, Guangzhou, China; Center for Reward and Social Cognition, School of Education, Guangzhou University, Guangzhou, China. Electronic address:
Perceived control plays a crucial role in risk-taking behavior, but its neural effect on reward dynamics in risky and ambiguous decision making remains unclear. Here, we addressed this issue by measuring participants' (N = 40) EEG activity while they were performing a wheel-of-fortune task. Participants either made choices themselves (a high control condition) or followed the computer's choice (a low control condition) under risky or ambiguous decision contexts.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Mechanical and Aerospace, Missouri University of Science and Technology, 400 W 13th St., Rolla, Missouri, 65409, UNITED STATES.
This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditionally used group-level, models using electroencephalographic data. The efficacy of the method is studied on an advanced driver assist system related task of predicting braking intention. \emph{Approach}: Data are collected from participants operating an NVIDIA JetBot on a testbed simulating urban streets for three different scenarios.
View Article and Find Full Text PDFNeuroimage
January 2025
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran. Electronic address:
Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. This study addresses the insufficiently elucidated neural mechanisms and temporal dynamics involved in this complex process, concentrating on the persistent challenge of recognizing objects obscured by occlusion. Through the analysis of human EEG data, we decode feedback characteristics within frontotemporal networks, uncovering intricate neural mechanisms during occlusion coding, with a specific emphasis on processing complex stimuli such as occluded faces.
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