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Electroencephalography (EEG) systems have been used for assessing cognitive function in dementia for several decades. Studies have demonstrated that EEG in Alzheimer's disease (AD) patients is generally characterized by significant and specific increases in delta and theta power, a decrease in alpha power, and a decrease in the coherence of the fast bands between different brain areas linked by long corticocortical fibers. Posterior EEG characteristics in dementia with Lewy bodies (DLB) allowed discrimination of DLB from AD and controls with high accuracy. Traditional EEG systems require a long application time and discomfort, which limited its use in dementia patients. Alternative tools for assessing cognition may be simple, low-cost, and mobile medical devices such as wireless and mobile EEG (wmEEG) sensor platforms with flexible electronics and stretchable electrode sheets that could be compatible with long-term EEG monitoring even in dementia patients. In this study, we review the utility of EEG in reflecting cognitive function and the prospects for clinical application of wmEEG monitoring for detecting early dementia and discriminating subtypes of dementia effectively and objectively assessing longitudinal cognitive changes. Repeated and longitudinal documentation of EEG using wmEEG will contribute to detection of specific sleep/wake EEG patterns for patients with sleep and wake-related problems related to dementia.
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http://dx.doi.org/10.1089/bioe.2019.0001 | DOI Listing |
J Safety Res
September 2025
Myers-Lawson School of Construction, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Electronic address:
Introduction: Exoskeletons have the potential to reduce workplace injuries; however, their use could increase cognitive load. While prior studies have explored the cognitive load impacts of passive and active back-support exoskeletons, research comparing their effects in construction-related tasks remains limited, particularly using electroencephalogram theta brainwave activity as a cognitive load indicator. This study assesses and compares the cognitive load implications of active and passive back-support exoskeletons relative to a baseline (i.
View Article and Find Full Text PDFNeuroscience
September 2025
Institute of Physiology, Benemerita Universidad Autonoma de Puebla, 14 Sur 6301, Col. San Manuel, Apartado Postal 406, Puebla, Pue. CP 72570, Mexico. Electronic address:
Although it is well known that the amplitude of electroencephalographic (EEG) alpha waves typically decreases during cognitive tasks, no studies have examined whether this attenuation can be modulated with external interventions. In this pilot study, we investigated whether transcranial alternating current stimulation (tACS) at a fixed frequency of 10 Hz could counteract task-related alpha suppression in 10 participants receiving experimental (verum) stimulation and 8 participants receiving sham stimulation. As expected, a mental task involving the Paced Auditory Serial Addition Test (PASAT) significantly reduced alpha power.
View Article and Find Full Text PDFJ Neurosci Methods
September 2025
Department of Computer Science and Engineering, IIT (ISM) Dhanbad, Dhanbad, 826004, Jharkhand, India. Electronic address:
Background: Interpretation of motor imagery (MI) in brain-computer interface (BCI) applications is largely driven by the use of electroencephalography (EEG) signals. However, precise classification in stroke patients remains challenging due to variability, non-stationarity, and abnormal EEG patterns.
New Methods: To address these challenges, an integrated architecture is proposed, combining multi-domain feature extraction with evolutionary optimization for enhanced EEG-based MI classification.
Prog Neurobiol
September 2025
The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States; Elmezzi Graduate School of Molecular Medicine at Northwell Health, Manhasset, NY, United States; Department of Neurosurgery, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States; Tr
Humans live in an environment that contains rich auditory stimuli, which must be processed efficiently. The entrainment of neural oscillations to acoustic inputs may support the processing of simple and complex sounds. However, the characteristics of this entrainment process have been shown to be inconsistent across species and experimental paradigms.
View Article and Find Full Text PDFJ Neurophysiol
September 2025
Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Repetition suppression, the reduced neural response upon repeated presentation of a stimulus, can be explained by models focussing on bottom-up (i.e. adaptation) or top-down (i.
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