Emotion Regulation Clinical Trial
Official title:
Effectiveness of the Level of Personal Relevance of Visual Autobiographical Stimuli in the Induction of Positive Emotions in Young and Older Adults: Study Protocol for a Randomized Controlled Trial
Verified date | January 2020 |
Source | University of Castilla-La Mancha |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Background: The ability to retrieve specific memories is a cognitive and emotional protective
factor. Among the most effective techniques to generate autobiographical memories is the use
of audio-visual stimuli, particularly images. Developing and improving techniques that
facilitate the generation of such memories could be highly effective in the prevention of
depressive symptoms, especially in the elderly population. The aim of the present study is to
examine how the level of personal relevance of pictures as autobiographical memory cues to
induce positive emotions may affect an individual's emotion regulation.
Methods: The participants, 120 older adults aged 65 and over and 120 young adults aged
between 18 and 35, of both sexes and without depressive symptoms, will be induced to a
negative mood state by means of viewing a film clip. Following the negative mood induction,
the participants will be shown positive images according to experimental group to which they
were randomly assigned (high personal relevance: personal autobiographical photographs;
medium personal relevance: pictures of favourite locations associated with specific positive
autobiographical memories; and low personal relevance: positive images from the International
Affective Picture System). The investigators will analyse the differences in subjective
(responses to questionnaires) and objectives measures (EEG signal, heart rate variability and
electrodermal activity) between the groups before and after the induction of negative affect
and following the recall of positive memories.
Discussion: The use of images associated with specific positive autobiographical memories may
be an effective input for inducing positive mood states, which has potentially important
implications for their use as a cognitive behavioural technique to treat emotional disorders,
such as depression, which are highly prevalent among older adults.
Status | Not yet recruiting |
Enrollment | 240 |
Est. completion date | April 2020 |
Est. primary completion date | April 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: 1. Older adults will present no symptoms of cognitive impairment. The self-administered Test Your Memory (TYM) will be used to assess cognitive performance [79,80]. 2. Absence of depressive symptomatology, which will be assessed using the Patient-Reported Outcomes Measurement Information System-Depression [81]. 3. Given the high comorbidity between anxiety and depression [82,83], it was decided that both young and older participants should present no symptoms of anxiety. This will be assessed using the Patient-Reported Outcomes Measurement Information System-Anxiety [81]. 4. No sensory deficits that might impact performance in the experiment and the psychological tests. 5. Sufficient literacy skills to understand the instructions for the experiment and the psychological tests. 6. Signed informed consent. |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
University of Castilla-La Mancha | European Regional Development Fund, Ministerio de Economía y Competitividad, Spain |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Mood state measures: Positive and Negative Affect Schedule (PANAS) | Assessment of positive and negative affect during the experimental phase | Positive and Negative Affect scales are administered before and after the negative mood induction and before the emotional recovery. The experimental task lasts 25 min. Each scale scores from 10 to 50. Higher scores mean higher affect. | |
Primary | Hemispheric frontal asymmetry in EEG activity | Left frontal (F3, F7, FC5) and right frontal (F4, F8, FC6) electrode pools will be formed by averaging the frequency distributions of these signals | Fast Fourier transformation will be applied to an EEG epoch consisting of the time windows of 30 s each after the onset of the stimulus (film and images) during the experimental task (maximum duration 25 minutes) | |
Primary | EEG power in delta band | The mean magnitud of delta frequency band activity will be calculated for each participant during each event type (film and images). | Fast Fourier transformation will be applied to an EEG epoch consisting of the time windows of 30 s each after the onset of the stimulus (film and images) during the experimental task (maximum duration 25 minutes) | |
Primary | EEG power in theta band | The mean magnitud of theta frequency band activity will be calculated for each participant during each event type (film and images). | Fast Fourier transformation will be applied to an EEG epoch consisting of the time windows of 30 s each after the onset of the stimulus (film and images) during the experimental task (maximum duration 25 minutes) | |
Primary | EEG power in alpha band | The mean magnitud of alpha frequency band activity will be calculated for each participant during each event type (film and images). | Fast Fourier transformation will be applied to an EEG epoch consisting of the time windows of 30 s each after the onset of the stimulus (film and images) during the experimental task (maximum duration 25 minutes) | |
Primary | EEG power in beta band | The mean magnitud of beta frequency band activity will be calculated for each participant during each event type (film and images). | Fast Fourier transformation will be applied to an EEG epoch consisting of the time windows of 30 s each after the onset of the stimulus (film and images) during the experimental task (maximum duration 25 minutes) | |
Primary | EEG power in gamma band | The mean magnitud of gamma frequency band activity will be calculated for each participant during each event type (film and images). | Fast Fourier transformation will be applied to an EEG epoch consisting of the time windows of 30 s each after the onset of the stimulus (film and images) during the experimental task (maximum duration 25 minutes) | |
Primary | Electrodermal activity (EDA) or skin conductance (SC) | SC morphology is the result of two independent components: a fast-changing skin conductance response (SCR), overlapped with a slowly changing skin conductance level component (SCL). The SCL component ranges from 0Hz to 0.05Hz, while SCR ranges from 0.05Hz to 1.5 Hz. Each SC signal will be filtered by applying a 1.5Hz cut-off low-pass FIR filter to decrease noise generated during the acquisition. The data series will first be divided into equal segments lasting five seconds and the mean of each segment will be recorded for subsequent analysis. | Skin conductance is registered during all the experimental task (maximum duration: 25 minutes). | |
Primary | Heart rate variability (HRV) | Cardiovascular variables will be measured through blood volume pressure (BVP). Alternations of the BVP waveform are highly correlated with heart ventricular depolarization and repolarization, thus being suitable to measure heart rhythm. Once data are acquired, BVP signals will be processed to reduce noise. After that, interbeat intervals (IBIs) will be derived from the peak-data series. The IBI data series will be transformed to obtain the heart rate (HR) measured in beats per minute (BPM). Then, the HR metric will be partitioned into five-second equally-separated segments. | HRV is registered during all the experimental task (maximum duration: 25 minutes).. |
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