Hemispheric Asymmetries in Emotion-Cognition Interactions
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
The purpose of this study is to investigate the effect of fearful emotion on the cognitive oddball task using electroencephalogram (EEG) technology. The study aims to deepen the understanding of the emotion-cognition interaction in humans. Emotions are fundamental to human behavior, and they can have a significant impact on cognitive processes such as attention, memory, and decision-making. Furthermore, the relationship between emotion and cognition has been implicated in numerous psychiatric disorders, including anxiety, depression, and post-traumatic stress disorder. Therefore, understanding the mechanisms by which emotions affect cognition is essential for the development of effective treatments for these disorders.
Electroencephalography (EEG) is a non-invasive and widely-used technique that measures the electrical activity of the brain, making it an excellent tool for studying the relationship between emotion and cognition. This study will use EEG to examine the neural correlates of attentional processing in response to emotional stimuli. Specifically, the investigators will use an emotional oddball task to investigate the effect of fearful emotions on the attention of deviant stimuli, which is an established paradigm in the study of emotion and cognition.
Furthermore, this study will explore the impact of the location of the deviant stimuli presentation (i.e., in the left or right visual field) on the emotion-cognition interaction. This variable is crucial because previous research has suggested hemispheric asymmetries in emotion processing and contralateral visual processing. By including this variable in the study, the investigators will be able to examine whether the emotion-cognition interaction is influenced by the location of stimulus presentation.
Additionally, the investigators will include 2 groups: older adults with anxiety and/or depression, and older adults without mental health issues. By examining these different groups, the investigators aim to elucidate how mental health status may modulate emotion-cognition interactions.
The inclusion of novel variables, such as the location of stimulus presentation and mental health status, makes this study innovative and likely to produce novel findings that will contribute to the existing literature on this topic. It is hypothesized that the presentation of fearful images in the cognitive oddball task will result in greater changes in brain electrical activity as compared to neutral images. Specifically, the investigators expect to observe increased activity in the ventral affective system (e.g., amygdala) and other regions of the brain associated with emotional processing. The investigators also hypothesize that the location of the shape presentation (whether on the left or right visual field) may modulate the effect of emotion on cognition by influencing the event-related potentials (ERPs) in dorsal executive system (e.g., dorsal lateral prefrontal cortex (dlPFC)).
The objectives of this study are:
- To investigate the effect of fearful emotion on the cognitive oddball task using EEG technology.
- To analyze changes in brain electrical activity in response to fearful and neutral stimuli.
- To investigate whether the location of shape presentation (left or right visual field) modulates the effect of emotion on cognition.
- To explore how mental health status may modulate emotion-cognition interactions.
Research Method/Procedures:
Participants who meet the inclusion criteria (strong handedness) will be scheduled for a one-hour session in the EEG lab. During the session, participants will wear an EEG cap with 256 channels that record their brain electrical activity while they complete an emotional oddball task. The task will consist of fearful and neutral pictures and black circles that are shown in the middle, left, or right visual field of the screen. The frequency of shapes appearing in the left or right visual field will be varied to investigate the impact of visual field location. The task duration will be approximately 1 hour with 8 short breaks during the processing.
For data analysis, the investigators will analyze the EEG data using time-frequency analysis to identify changes in brain electrical activity in response to fearful and neutral stimuli. The investigators will compare the results of the odd stimulus after fearful images with that after neutral images to isolate the effect of emotions on cognitive processing. The investigators will also use statistical analysis to identify any significant differences in the impact of visual field location on the effect of emotion on cognition. Finally, the investigators will interpret our findings in the context of existing literature on the emotion-cognition interaction in humans, and conduct cross-sectional comparisons between different mental health conditions to investigate the generalizability of the findings.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Fan Peng, EdD
- Phone Number: 5878730966
- Email: fpeng3@ualberta.ca
Study Locations
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Alberta
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Edmonton, Alberta, Canada
- University of Alberta
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
- Healthy older adult aged over 60 who do not exhibit mental health issues and demonstrate healthy aging from a cognitive perspective.
- Older adults aged over 60 who have been diagnosed with Anxiety and/or Depression, while still demonstrating healthy aging from a cognitive standpoint.
Participants with Edinburgh Handedness Inventory scores falling within the range of [-100, -41] and [41, 100] are eligible to participate in this study.
Description
Inclusion Criteria:
- The healthy older adult group is composed of participants aged over 60 who do not exhibit mental health issues and demonstrate healthy aging from a cognitive perspective.
- The older adults with mental health issues group will consist participants aged over 60 diagnosed with these conditions are included while still demonstrating healthy aging from a cognitive standpoint.
Exclusion Criteria:
- Participants currently taking medication known to affect brain activity and/or cognitive processing.
- Participants with a history of alcohol or substance abuse.
- Participants with a history of head injury or concussion that may impact brain activity and/or cognitive processing.
- Participants with Neurological Disorders.
- Participants with Edinburgh Handedness Inventory scores falling within the range of [-40, 40].
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Older Adults with Mental Health Issues Group
The older adults with mental health issues group is crucial for examining the impact of Anxiety and/or Depression on cognitive aging.
Participants aged over 60 diagnosed with these conditions are included while still demonstrating healthy aging from a cognitive standpoint.
This ensures that any observed cognitive differences can be attributed to mental health conditions rather than age-related decline alone.
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This study is observational, therefore, there is no intervention included.
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Older Adults Healthy Control Group
The healthy older adult group is carefully defined to serve as a comparison group against individuals with mental health issues.
By selecting participants aged over 60 who do not exhibit mental health issues and demonstrate healthy aging from a cognitive perspective, the investigators establish a baseline for cognitive functioning within the older adult population.
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This study is observational, therefore, there is no intervention included.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Magnitude of Rhythmic Activity in EEG Oscillations: Alpha, Theta, and Delta Bands
Time Frame: After the raw EEG data being collected, the investigators plan to conduct preprocessing, independent component analysis and extract EEG bands of our interest starting in January 2025.
|
This study explores emotion and visual attention aspects within EEG oscillations, particularly in the Alpha, Theta, and Delta bands.
These bands are known to influence emotional processing and attentional mechanisms.
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After the raw EEG data being collected, the investigators plan to conduct preprocessing, independent component analysis and extract EEG bands of our interest starting in January 2025.
|
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Event-related potentials(ERPs): Peak Amplitude of P100, P300, and Late Positive Potential
Time Frame: After the raw EEG data being collected, the investigators plan to conduct preprocessing, independent component analysis and extract ERPs of our interest starting in January 2025.
|
This study investigates Event-Related Potentials (ERPs), focusing on P100, P300, and Late Positive Potential (LPP).
The peak amplitude of these components reflects the maximum voltage deflection recorded from the scalp during these time windows following specific stimuli.
By analyzing the peak amplitude, the investigators aim to explore the neural mechanisms implicated in cognitive functions such as attention, decision-making, and emotional processing.
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After the raw EEG data being collected, the investigators plan to conduct preprocessing, independent component analysis and extract ERPs of our interest starting in January 2025.
|
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Event-related potentials(ERPs): Latency of P100, P300, and Late Positive Potential
Time Frame: After the raw EEG data being collected, the investigators plan to conduct preprocessing, independent component analysis and extract ERPs of our interest starting in January 2025.
|
This study investigates Event-Related Potentials (ERPs), focusing on P100, P300, and Late Positive Potential (LPP).
The latency of these components represents the time between the presentation of a stimulus and the peak activity they exhibit.
The value of latency lies in its precision regarding the timing of cognitive processes.
Through latency analysis, the investigators gain a detailed understanding of the sequential progression of neural events.
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After the raw EEG data being collected, the investigators plan to conduct preprocessing, independent component analysis and extract ERPs of our interest starting in January 2025.
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Anthony Singhal, PhD, University of Alberta
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Pro00130303
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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