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The goal of this interventional study is to compare if the use of a brain-machine interface (BCI) therapy can improve the symptoms of attentional deficit by producing brain changes in the networks that modulate attention. The investigators intend to work with epileptic participants who do not respond to pharmacological treatment, who will undergo neurosurgery. The questions the study sets out to answer are: 1. is there an improvement of symptoms in an experimental group receiving the treatment versus a sham group receiving a simulation of the treatment? 2. does the application of the therapy before surgery reduce the recovery times of post-surgery cognitive deficits described in the literature? Making use of the information recorded from brain electrodes implanted before a participant's epilepsy surgery, the investigators will create a BCI decoder that works with the available activity sources to establish the level of attention of each participant when performing tasks. Participants: * will perform an offline phase first, which will consist of one day of evaluation, in which they will be familiarized with an attentional task. * will perform a training phase later, which will consist of several days of evaluation, where they will learn to modulate their level of attention. This modulation will be facilitated by the BCI decoder, which will classify the level of attention directly from the brain and provide visual feedback that the participant will use as a guide. If the participant is part of the experimental group (or BCI group), the feedback will work as described and should be easy to follow, but if the participant is part of the Sham group, the feedback will not work according to the brain activity of the actual participant, but according to that of another person. Because of this, a mismatch will be created between the moments a brain experiences inattention, and participants believe they are experiencing inattention. This is a randomized, double-blind study, in which the experimenters will evaluate how the effect of the attentional therapy with BCI affects an BCI group and a Sham group.
The goal of this study is to examine attentional biases for facial displays of emotion as a mechanism of risk in infants of mothers with postpartum major depression, and the potential role of infant arousal in the development of these attentional biases.
This clinical trial aims to evaluate whether transcutaneous auricular vagus nerve stimulation (taVNS), a non-invasive brain stimulation method, can improve attention and memory in veterans with traumatic brain injury (TBI) and depression and/or posttraumatic stress disorder (PTSD). The study seeks to answer two main questions: 1. Can active taVNS improve attention and memory compared to sham (placebo) stimulation? 2. Does taVNS affect heart rate variability (HRV)? taVNS delivers a gentle electrical current to the vagus nerve through electrodes placed on the ear, targeting brain areas involved in attention and memory without requiring surgery. This study uses a crossover design, meaning all participants will experience two sessions: one with active taVNS and one with sham stimulation. The sham session feels similar but does not deliver actual stimulation, allowing researchers to compare the two and understand taVNS's effects on the brain. In a single visit, participants will: * Complete eligibility screening (questionnaires and vital signs). * Undergo two sessions (one active and one sham), randomly assigned. * Perform attention tasks before and after each session. * Have their heart rate monitored during the sessions. The findings will help determine whether taVNS could be an effective treatment for improving attention and memory in veterans with TBI.
The goal of this study is to investigate the finding that there are large individual differences in how participants move their eyes during active visual search. For example, some individuals tend to fixate, that is point their eyes steadily at a single location, for longer than other individuals before moving to another location. This experiment will use behavioral tasks to measure an individual's attentional and inhibitory functioning, and then see how each of these contributes to between-participant variability in eye movement behavior during visual search.
The goals of the proposed research are to first determine the minimal and/or optimal dose of a digital intervention required for cognitive enhancement, and then to examine the impact of several potential moderators of treatment effects (i.e., cognitive decline, AD polygenic hazard score, cardiovascular risk, and race/ethnicity). This knowledge gained from his high-impact study with transform the field of cognitive interventions, paving the way for a precision medicine model for cognitive enhancing interventions that improve quality of life for older adults and individuals with cognitive deficits at risk of developing dementia.
The current study's goal is to determine if a one-week break from social media in all forms has a beneficial effect on people's attention, as measured by the Sustained Attention to Response Task, executive function as measured by the Stroop test, and well-being.
The purpose of this study is to help understand how attention processes influence brain engagement during emotion and social cognition. The investigators also want to know if these processes are associated with drinking alcohol. Participation includes three study visits of about 2 hours each over approximately a month. The first visit involves a magnetic resonance imaging (MRI) scan and answering survey questions. Each of the next two visits will involve a session of transcranial magnetic stimulation (TMS, a non-invasive brain stimulation technique) followed by another MRI scan. People in the Auburn/Opelika area 19 or older are eligible to participate. People who drink alcohol and people who do not drink or don't drink very much are invited to participate.
This pilot study will evaluate the cognitive and behavioral outcomes of using a novel, adaptive attention training in pediatric cancer survivors.
Problems with distraction are widespread in the 21st century, but for people with developmental delays or behavioral challenges they can have more damaging effects. For example, susceptibility to distraction is associated with worse school and social performance, lower high school graduation rates, and increased incidence of serious accidents. The investigators' goal is to improve understanding of distractibility and develop a targeted treatment. The proposed intervention is based on models of habituation, which is a term that means reduced physiological and emotional response to a stimulus (e.g. moving object, or loud noise, etc.) as it is seen repeatedly. The investigators use virtual reality technology to show study participants distracting stimuli repeatedly in a virtual classroom setting, and their hypothesis states that participants will improve attention in the face of distraction by training with this technology intervention. The virtual classroom setting is especially relevant for children who have significant challenges with distractibility, such as children with ADHD. This intervention will likely be effective in helping individuals with other clinical disorders and perhaps the general population as well.
The goal of the study is to see if the use of music improves attention during visual field exams for pediatric glaucoma patients.