Decision-Making Tasks for Short-Term Memory
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores how decisions affect short-term memory in people with epilepsy. Participants will perform tasks on a laptop to assess how making choices impacts immediate memory recall. Researchers will study brain activity during these tasks to understand the connection between decision-making and memory, using a method called value-manipulation. The trial seeks individuals with epilepsy whose seizures do not respond to standard medications and who are scheduled for specific brain monitoring procedures. As an unphased trial, this study offers participants the chance to contribute to groundbreaking research that could enhance understanding and treatment of epilepsy-related memory issues.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications. However, since the trial involves epilepsy patients who have not responded to standard treatments, it seems likely that you may continue your current epilepsy medications.
What prior data suggests that this protocol is safe for participants with epilepsy?
Research has shown that a treatment called value-manipulation is being tested with epilepsy patients to study decision-making and memory. Specific safety information for this treatment is not yet available. The trial is in an early stage, focusing on understanding how the treatment works rather than proving its safety or effectiveness.
Value-manipulation involves using a laptop for decision-making and memory exercises. This non-invasive method does not physically affect the body and is generally considered low risk. However, since it remains experimental, all potential risks are not yet known. Participants should discuss any concerns with the research team to gain a clearer understanding of what to expect.12345Why are researchers excited about this trial?
Researchers are excited about this trial because it explores how value-manipulation tasks can impact decision-making and memory in individuals with epilepsy. Unlike traditional treatments that focus on medication or surgery to manage seizures, this approach uses a computer-based behavioral task to potentially enhance cognitive function. By engaging participants in decision-making exercises, the study aims to uncover new ways to improve memory and decision-making skills in epilepsy, which could lead to innovative, non-invasive therapeutic strategies.
What evidence suggests that this value-manipulation technique is effective for decision-making and memory?
Research is exploring a treatment called value-manipulation, which participants in this trial will receive, to examine how decision-making affects memory, particularly in individuals with epilepsy. Although direct proof of its benefits for memory is not yet available, studies have shown that similar treatments can significantly aid people with epilepsy. For instance, one study found that many patients experienced 60-80% fewer seizures after treatment. Another study revealed that nearly half of the patients stopped having seizures altogether, and most saw at least a 50% improvement. These findings suggest that new methods like value-manipulation might positively influence thinking skills, though its exact impact on memory remains under investigation.56789
Who Is on the Research Team?
Salman E Qasim, PhD
Principal Investigator
Icahn School of Medicine at Mt. Sinai
Are You a Good Fit for This Trial?
This trial is for individuals with medication-resistant epilepsy who are already set to receive brain monitoring via intracranial EEG or neurostimulation. Participants must be able to follow the study's procedures, provide consent, and speak English or Spanish. Excluded are those with cognitive impairments, unwillingness to undergo electrode implantation, medical risks for surgery/MRI scans, pregnancy, history of psychosis, recent suicide risk, or other significant brain disorders.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Task Participation
Participants perform decision-making and memory tasks while neural activity is recorded
Follow-up
Participants are monitored for safety and effectiveness after task participation
What Are the Treatments Tested in This Trial?
Interventions
- Value-manipulation
Trial Overview
The study investigates how decision-making affects memory by using computational modeling and direct brain recordings during a dual-task paradigm. Patients undergoing treatment for epilepsy will have their brain activity monitored while they perform tasks designed to probe the interaction between decision-making and memory recall.
How Is the Trial Designed?
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Treatment groups
Experimental Treatment
Participants with epilepsy will complete a behavioral task in which they use a laptop computer to do a decision-making and memory task.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Rutgers, The State University of New Jersey
Lead Sponsor
Icahn School of Medicine at Mount Sinai
Lead Sponsor
National Institute of Mental Health (NIMH)
Collaborator
Published Research Related to This Trial
Citations
Comparative Review of Seizure and Cognitive Outcomes ...
For example, a study demonstrated that resecting over 50% of the piriform cortex is associated with a 16-fold improvement in seizure-freedom ...
A meta-analytic evaluation of the effectiveness and ...
Aggregated results demonstrated that 47 % of individuals were seizure-free by the end of treatment, whilst 82 % reported a ≥ 50 % improvement in seizure ...
A Comparison of Neuropsychological Outcomes following ...
The percent reduction in seizure frequency was similar across groups with all three cohorts experiencing a 60–80% decrease post-intervention.
Deep Learning Model for Predicting Treatment Response ...
This cohort study developed a deep learning model on a pooled cohort of 1798 adults with newly diagnosed epilepsy seen in 5 centers in 4 countries.
Machine learning algorithm for predicting seizure control ...
We show that machine learning classifiers can make accurate predictions of postoperative seizure outcome using 5 min of peri-ictal scalp EEG data.
Risk Assessment Tool in Predicting the Therapeutic Outcomes ...
Identifying a patient's risk for poor outcomes after starting antiseizure medication (ASM) therapy is crucial in managing epilepsy ...
Long term epilepsy outcome dynamics revealed by natural ...
In this study we used a novel NLP algorithm to extract seizure freedom, seizure frequency, and date of most recent seizure from 55,630 free-text clinic notes ...
The value of self-reported variables in epilepsy monitoring ...
The review examined acceptability, adherence, and ability to self-report or predict seizures, along with innovative applications of self-reported data. We ...
Big data research is everyone's research—Making ...
It focuses on the general sources of Big Data in epilepsy, with overviews of how we derive clinical, electroencephalographic, imaging, ...
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