Publications by authors named "Ahmadreza Keihani"

Non-invasive brain stimulation (NIBS) techniques are designed to precisely and selectively target specific brain regions, thus enabling focused modulation of neural activity. Among NIBS technologies, low-intensity transcranial focused ultrasound (tFUS) has emerged as a promising new modality. The application of tFUS can safely and non-invasively stimulate deep brain structures with millimetric precision, offering distinct advantages in terms of accessibility to non-cortical regions over other NIBS methods.

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  • The study investigates how microstates, which are key patterns in EEG readings, vary between evening and morning, and how they relate to slow-wave sleep in healthy adults.
  • Researchers conducted EEG recordings on 45 participants, analyzing changes in microstate duration, coverage, and occurrence while correlating these with sleep slow-wave activity and density.
  • Findings revealed significant differences in microstate characteristics from evening to morning, suggesting that sleep slow waves might influence these changes, indicating the need for future studies to consider time of day and sleep factors.
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Background: The transition from alertness to drowsiness can cause considerable changes in the respiratory system, providing an opportunity to detect driver drowsiness.

Objective: The aim of this study was to determine which respiratory features indicate driver drowsiness and then use these features to classify the level of drowsiness and alertness.

Methods: Twenty male students (mean age 25.

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Objective: This study aimed to investigate the effects of a head/neck supporting exoskeleton (HNSE) on the electromyographic fatigue threshold (EMG) of the neck and shoulder muscles during a simulated overhead work task.

Background: Overhead work is a well-known risk factor for neck and shoulder musculoskeletal disorders due to the excessive strain imposed on the muscles and joints in these regions.

Method: Fourteen healthy males performed a repetitive overhead nut fastening/unfastening task to exhaustion while wearing and not wearing the HNSE at two neck extension angles (40% and 80% of neck maximum range of motion).

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Several methods have been put forward to quantify cumulative loads; however, limited evidence exists as to the subsequent damages and the role of muscular fatigue. The present study assessed whether muscular fatigue could affect cumulative damage imposed on the L5-S1 joint. Trunk muscle electromyographic (EMG) activities and kinematics/kinetics of 18 healthy male individuals were evaluated during a simulated repetitive lifting task.

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N-acetylaspartate (NAA) and choline (Cho) are two brain metabolites implicated in several key neuronal functions. Abnormalities in these metabolites have been reported in both early course and chronic patients with schizophrenia (SCZ). It is, however, unclear whether NAA and Cho's alterations occur even before the onset of the disorder.

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Disruptions in circadian rhythms can occur in healthy aging; however, these changes are more severe and pervasive in individuals with age-related and neurodegenerative diseases, such as dementia. Circadian rhythm alterations are also present in preclinical stages of dementia, for example, in patients with mild cognitive impairments (MCI); thus, providing a unique window of opportunity for early intervention in neurodegenerative disorders. Nonetheless, there is a lack of studies examining the association between relevant changes in circadian rhythms and their relationship with cognitive dysfunctions in MCI individuals.

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Resting-state electroencephalography (EEG) microstates reflect sub-second, quasi-stable states of brain activity. Several studies have reported alterations of microstate features in patients with schizophrenia (SZ). Based on these findings, it has been suggested that microstates may represent neurophysiological biomarkers for the classification of SZ.

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This study assessed the effects of movement-based interventions on the complexity of postural changes during prolonged standing. Twenty participants, equally distributed in gender and standing work experience (SWE), completed three simulated prolonged standing sessions: without movement (control), leg exercise and footrest. The amount and complexity of variability in the centre of pressure (COP) and lumbar curvature angle were quantified using linear and nonlinear tools.

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Cortico-muscular interactions play important role in sensorimotor control during motor task and are commonly studied by cortico-muscular coherence (CMC) method using joint electroencephalogram-surface electromyogram (EEG-sEMG) signals. As noise and time delay between the two signals weaken the CMC value, coupling difference between non-task sEMG channels is often undetectable. We used sparse representation of EEG channels to compute CMC and detect coupling for task-related and non-task sEMG signals.

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Article Synopsis
  • Overhead work increases the risk of neck and shoulder musculoskeletal disorders, prompting a study on a passive head/neck supporting exoskeleton (HNSE) as an ergonomic solution.
  • Fourteen male participants tested the HNSE while performing an overhead task, exploring its effects on neck angle and comfort levels.
  • Results showed the HNSE reduced discomfort and muscle activity in the neck and shoulders but increased trapezius muscle activity; however, it did not significantly impact task performance, indicating the need for further research.
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  • The study investigated how posture-related signals vary during prolonged standing and their relationship with discomfort levels in participants.
  • Twenty participants were observed for discomfort in the back and legs, along with various physical metrics, using both nonlinear analysis and traditional metrics.
  • Results showed that participants with standing work experience (SWE) felt less discomfort and exhibited more complex variability in their postural signals, highlighting the potential of nonlinear analysis in understanding postural dynamics in standing tasks.
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Objective: Spine kinematics, kinetics, and trunk muscle activities were evaluated during different stages of a fatigue-induced symmetric lifting task over time.

Background: Due to neuromuscular adaptations, postural behaviors of workers during lifting tasks are affected by fatigue. Comprehensive aspects of these adaptations remain to be investigated.

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  • Visual evoked potentials (VEPs) using periodic stimuli are effective for brain-computer interfaces but can cause visual fatigue from high contrast stimulation.
  • This study assessed quasi-periodic and chaotic complex stimuli against traditional periodic stimuli, measuring target identification accuracy and fatigue levels using canonical correlation analysis (CCA) and the Visual Analogue Scale (VAS).
  • Results showed chaotic stimuli had the highest target identification accuracy (86.8%) and caused less fatigue compared to quasi-periodic and periodic stimuli, suggesting their potential for more comfortable VEP-based BCIs.
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  • The study tests chaotic codes, derived from a one-dimensional logistic map, as an alternative to m-sequence codes in code modulated Visual Evoked Potentials (c-VEP) based Brain-Computer Interfaces (BCIs).
  • Both chaotic and m-sequence codes demonstrated similar decoding accuracies (around 93-94%) when analyzed through EEG signals using Canonical Correlation Analysis (CCA) and Spatiotemporal Beamforming (STB) methods.
  • Participants reported significantly less subjective fatigue when using the chaotic codes compared to the traditional m-sequence codes.
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Recent EEG-SSVEP signal based BCI studies have used high frequency square pulse visual stimuli to reduce subjective fatigue. However, the effect of total harmonic distortion (THD) has not been considered. Compared to CRT and LCD monitors, LED screen displays high-frequency wave with better refresh rate.

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