A5044964941- Cannabis and Cannabinoid Research
- Neurotransmitter Receptor Influence on Behavior
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Sleep and Wakefulness Research
- Neuroscience and Neuropharmacology Research
- Neural and Behavioral Psychology Studies
- Muscle activation and electromyography studies
- Algorithms and Data Compression
- Stroke Rehabilitation and Recovery
- Substance Abuse Treatment and Outcomes
- Advanced Neuroimaging Techniques and Applications
- Vehicle License Plate Recognition
- Attention Deficit Hyperactivity Disorder
- Action Observation and Synchronization
- Gender Diversity and Inequality
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Musculoskeletal pain and rehabilitation
- COVID-19 and healthcare impacts
- Handwritten Text Recognition Techniques
- Robotics and Automated Systems
- Folate and B Vitamins Research
- Heart Rate Variability and Autonomic Control
- Neuroscience and Music Perception
- Motor Control and Adaptation
Washington State University
2020-2024
Dakota State University
2021
The University of Texas at Dallas
2016-2020
SRM Institute of Science and Technology
2018
University of Maryland, College Park
2016
Bryn Mawr College
2008
An exciting new initiative at Georgia Tech and Bryn Mawr College is using personal robots both to motivate students serve as the primary programming platform for Computer Science 1 curriculum. Here, authors introduce outline plans future.
Cannabis use affects cortico-striatal networks that are essential for producing movement. In this review, we summarize the literature on motor system dysfunction in cannabis users and provide a rationale why learning should be considered an important area research. A majority of studies have addressed cognitive impairments some focused driving performance, impulsivity, inhibition. Our review has found is associated with performance impairments; however, there gap regarding learning. The...
It is well acknowledged that motor sequences can be learned quickly through online learning. Subsequently, the initial acquisition of a sequence boosted or consolidated by offline However, little known whether learning drive fast (i.e., in first training session). To examine stage, we asked four groups young adults to perform serial reaction time (SRT) task with either fixed probabilistic and without preliminary knowledge (PK) presence sequence. The PK were manipulated emphasize procedural...
Abstract The posterior cingulate cortex (PCC) and precuneus are hubs in the default mode network play a role processing external salient stimuli. Accordingly, activation these regions has been associated with response to stimuli using drug cue‐reactivity paradigms substance populations. These studies suggest that PCC may underlie deficits contribute toward development of use disorders. goal this study was directly test hypothesis repetitive transcranial magnetic stimulation (rTMS). Using...
The discourse on research productivity during the early months of COVID-19 has been dominated by bibliometric and quantitative studies highlighting fewer publications from women scholars compared to men, but few considered reasons behind this phenomenon. This paper offers new empirical insights into experiences perceptions stages pandemic using feminist standpoint theory approach understand why they have seemingly less productive. Our findings, based 101 qualitative survey responses,...
The brain's endocannabinoid system plays a crucial role in reward processes by mediating appetitive learning and encoding the reinforcing properties of substances. Evidence also suggests that endocannabinoids are an important constituent neuronal substrates involved emotional responses to stress. Thus, it is critical understand how stress may affect given their importance substance use disorders. We examined relationship between factors regulate signaling (i.e., cannabinoid receptor genes...
Current methods to understand implicit motor sequence learning inadequately assess skill acquisition in daily life. Using fixed sequences the serial reaction time task is not ideal as participants may become aware of sequence, thereby changing from explicit. Probabilistic sequences, which stimuli are linked by statistical, rather than deterministic, associations can ensure that remains implicit. Additionally, processes underlying differ based on structure. Here, authors compared and...
Abstract Brain Machine Interfaces (BMIs) can help restore motor function to individuals with paralysis. These systems allow users control an assistive device through the detection of movement-related brain activity. Such neural signatures are found machine learning algorithms and training datasets that generated from participants performing repetitive tasks. We anticipate waves interest attenuate over time due efficiency, where becomes more efficient practice in a task. To explore this...
Abstract Objective Prior research has focused on comparing the effects of manual therapy techniques used in physical different conditions to determine which technique is more effective and less invasive for patient. However, no focus been placed identifying evaluating changes techniques. This study aims evaluate from perspective current retired therapists who are or were licensed Washington state. Methods Eighteen participants completed a modified Physical Therapy Profile Questionnaire...