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Neurobehavioral Intervention as a Novel Treatment Approach for Emotion-Regulatory Deficits

Neurobehavioral Intervention as a Novel Treatment Approach for Emotion-Regulatory Deficits

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01466751
Enrollment
28
Registered
2011-11-08
Start date
2011-01-31
Completion date
2013-12-31
Last updated
2019-06-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anxiety, Depression

Keywords

Computerized neurobehavioral intervention

Brief summary

The present study will explore the effectiveness of a computer based neurobehavioral intervention in alleviating symptoms and improving emotion regulation in psychiatric populations. It will increase understanding of psychopathology at a neural-circuit level and aid development of new non-pharmacological treatment for emotion regulatory deficits.

Interventions

Targeted, computerized interventions completed from the participants' own home on a computer.

Sponsors

Stanford University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* current anxiety or depression symptoms * internet access

Exclusion criteria

* lifetime psychotic disorder, past-year substance dependence

Design outcomes

Primary

MeasureTime frameDescription
Reaction Time to Facial Affect Identification During Emotional ConflictBaseline, 3-monthA standardized set of facial emotions (fear and happy) were presented for a duration of about 1 second in quick succession (a new face every 3-5 seconds). Across each face was written an emotional word (FEAR or HAPPY), which could be either congruent or incongruent with the facial expression. The participant was instructed to identify the facial emotion as quickly as possible and ignore the overlaid emotion word. The outcome measure of interest was the average speed (across all trials presented) within which an individual could correctly identify the facial emotion as a function of time (pre or post-intervention), treatment arm (control or intervention), facial affect (fear or happy), and congruency of word and facial affect (congruent or incongruent).
Amygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline, 3 MonthsThe degree of differential BOLD signal change (T2\*-weighted contrast in a defined region of the brain as measured by functional magnetic resonance imaging) within each individual, averaged across trials, during facial affect identification (fear or happy) and induction of emotional conflict (when the emotion word FEAR or HAPPY was either congruent or incongruent with the facial expression). We examined the differential degree of amygdala BOLD signal change as a function of emotion type (fear or happy), congruency (congruent or incongruent), and hemisphere (left or right) at baseline and 3 months.

Countries

United States

Participant flow

Participants by arm

ArmCount
Engaging Computerized Tasks
Participants will log into a personalized website and engage in computerized tasks online. Computerized Neurobehavioral Intervention: Targeted, computerized interventions completed from the participants' own home on a computer.
14
Neurobehavioral Computerized Tasks
Participants will log into a personalized website and engage in computerized tasks online. Computerized Neurobehavioral Intervention: Targeted, computerized interventions completed from the participants' own home on a computer.
14
Total28

Baseline characteristics

CharacteristicEngaging Computerized TasksTotalNeurobehavioral Computerized Tasks
Age, Continuous35 years
STANDARD_DEVIATION 10
35.5 years
STANDARD_DEVIATION 11
36 years
STANDARD_DEVIATION 12
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
3 Participants7 Participants4 Participants
Race (NIH/OMB)
Black or African American
1 Participants1 Participants0 Participants
Race (NIH/OMB)
More than one race
1 Participants2 Participants1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants1 Participants1 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
9 Participants17 Participants8 Participants
Region of Enrollment
United States
14 participants28 participants14 participants
Sex: Female, Male
Female
11 Participants21 Participants10 Participants
Sex: Female, Male
Male
3 Participants7 Participants4 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 140 / 14
other
Total, other adverse events
0 / 140 / 14
serious
Total, serious adverse events
0 / 140 / 14

Outcome results

Primary

Amygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict

The degree of differential BOLD signal change (T2\*-weighted contrast in a defined region of the brain as measured by functional magnetic resonance imaging) within each individual, averaged across trials, during facial affect identification (fear or happy) and induction of emotional conflict (when the emotion word FEAR or HAPPY was either congruent or incongruent with the facial expression). We examined the differential degree of amygdala BOLD signal change as a function of emotion type (fear or happy), congruency (congruent or incongruent), and hemisphere (left or right) at baseline and 3 months.

Time frame: Baseline, 3 Months

ArmMeasureGroupValue (MEAN)Dispersion
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Left Amygdala Fear0.21 Percentage of BOLD signal changeStandard Deviation 0.93
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Left Amygdala Happy0.25 Percentage of BOLD signal changeStandard Deviation 1.05
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Right Amygdala Fear0.04 Percentage of BOLD signal changeStandard Deviation 1.24
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Right Amygdala Happy-0.30 Percentage of BOLD signal changeStandard Deviation 0.86
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Left Amygdala Fear0.13 Percentage of BOLD signal changeStandard Deviation 0.85
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Left Amygdala Happy-0.03 Percentage of BOLD signal changeStandard Deviation 0.76
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Right Amygdala Fear0.05 Percentage of BOLD signal changeStandard Deviation 0.66
Engaging Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Right Amygdala Happy-0.10 Percentage of BOLD signal changeStandard Deviation 0.85
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Right Amygdala Happy0.05 Percentage of BOLD signal changeStandard Deviation 0.85
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Left Amygdala Fear0.16 Percentage of BOLD signal changeStandard Deviation 0.54
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Left Amygdala Fear0.38 Percentage of BOLD signal changeStandard Deviation 0.79
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Left Amygdala Happy-0.29 Percentage of BOLD signal changeStandard Deviation 0.79
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Right Amygdala Fear0.21 Percentage of BOLD signal changeStandard Deviation 0.92
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Right Amygdala Fear0.02 Percentage of BOLD signal changeStandard Deviation 0.6
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional Conflict3 Month Left Amygdala Happy0.18 Percentage of BOLD signal changeStandard Deviation 1.02
Neurobehavioral Computerized TasksAmygdala Blood Oxygenation-level Dependent Response (BOLD) Activation to Face Affect Identification During Emotional ConflictBaseline Right Amygdala Happy-0.23 Percentage of BOLD signal changeStandard Deviation 0.85
Comparison: A linear mixed model was used to test the null hypothesis that the two treatment groups would display no differential changes in amygdala BOLD signal from baseline to 3 months as a main effect or in interaction with facial affect type (fear or happy) or by brain hemisphere (left or right).p-value: 0.156Mixed Models Analysis
Primary

Reaction Time to Facial Affect Identification During Emotional Conflict

A standardized set of facial emotions (fear and happy) were presented for a duration of about 1 second in quick succession (a new face every 3-5 seconds). Across each face was written an emotional word (FEAR or HAPPY), which could be either congruent or incongruent with the facial expression. The participant was instructed to identify the facial emotion as quickly as possible and ignore the overlaid emotion word. The outcome measure of interest was the average speed (across all trials presented) within which an individual could correctly identify the facial emotion as a function of time (pre or post-intervention), treatment arm (control or intervention), facial affect (fear or happy), and congruency of word and facial affect (congruent or incongruent).

Time frame: Baseline, 3-month

Population: Participants who complete the protocol were included in the analysis.

ArmMeasureGroupValue (MEAN)Dispersion
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Congruent Fear802.15 millisecondsStandard Deviation 155.14
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Incongruent Fear848.79 millisecondsStandard Deviation 142.18
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Congruent Happy764.08 millisecondsStandard Deviation 130.52
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Incongruent Happy830.06 millisecondsStandard Deviation 142.29
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Congruent Fear814.58 millisecondsStandard Deviation 158.56
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Incongruent Fear863.80 millisecondsStandard Deviation 144.65
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Congruent Happy796.54 millisecondsStandard Deviation 130.62
Engaging Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Incongruent Happy878.40 millisecondsStandard Deviation 175.54
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Incongruent Happy890.90 millisecondsStandard Deviation 196.22
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Congruent Fear889.14 millisecondsStandard Deviation 135.65
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Congruent Fear872.84 millisecondsStandard Deviation 178.04
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Incongruent Fear937.97 millisecondsStandard Deviation 151.94
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Congruent Happy824.36 millisecondsStandard Deviation 196.77
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Congruent Happy868.45 millisecondsStandard Deviation 131.05
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional Conflict3 Month Incongruent Fear909.89 millisecondsStandard Deviation 193.45
Neurobehavioral Computerized TasksReaction Time to Facial Affect Identification During Emotional ConflictBaseline Incongruent Happy961.49 millisecondsStandard Deviation 134.32
Comparison: A linear mixed model was utilized to test the null hypothesis that the intervention groups would show equivalent performance change on the outcome measure from baseline to the 3 month time points.p-value: 0.004Mixed Models Analysis

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026