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| ID | Type | Description | Link |
|---|---|---|---|
| R61MH120245 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Mental Health (NIMH) | NIH |
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Several lines of evidence suggest that unhealthy sleep patterns contribute to depressive symptoms through disruption of brain networks that regulate emotional functions. However, we do not yet know to what degree the emotion regulation brain network is modified by the restoration of sleep, or whether the degree to which a sleep intervention modifies these neural targets mediates reductions in other depressive symptoms including suicidality.
The overall aim is to test the efficacy of an established sleep intervention (Cognitive Behavioral Therapy for Insomnia (CBT-I)) in reducing depressive symptoms through improving emotion regulation brain function in individuals with elevated depressive symptoms and clinically meaningful sleep disturbance.
In this study, we will assess feasibility of recruitment and retention as well as target engagement. Target engagement is defined as the treatment effect on increasing mPFC-amygdala connectivity, and/or decreasing amygdala reactivity during emotion reactivity and regulation paradigms. Participants will be 70 adults experiencing at least moderate sleep disturbances and who also have elevated anxious and/or depressive symptoms. Emotion distress and sleep disruption will be assessed prior to, and weekly while receiving six Cognitive Behavioral Therapy for Insomnia (CBT-I) across a period of 8 weeks. CBT-I improves sleep patterns through a combination of sleep restriction, stimulus control, mindfulness training, cognitive therapy targeting dysfunctional beliefs about sleep, and sleep hygiene education. Using fMRI scanning, emotion regulation network neural targets will be assayed prior to and following completion of CBT-I treatment.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| CBT-I | Other |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cognitive Behavioral Therapy for Insomnia | Behavioral | Participants will meet with a psychologist once a week for six weeks to complete a brief CBT-I intervention. Cognitive Behavioral Therapy for Insomnia consists of a cognitive therapy and a behavioral therapy. The cognitive therapy is designed to identify incorrect ideas about sleep, challenge their validity, and replace them with correct information. This therapy tries to reduce worry, anxiety, and fear that one won't sleep by providing accurate information about sleep. The behavioral therapy increases sleep quality by limiting excessive time spent in bed to increase homeostatic sleep drive and sleep consolidation. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Amygdala Activation During the Facial Expressions of Emotion Task (Conscious Condition) as Assessed by Functional Magnetic Resonance Imaging | The Conscious condition of the Facial Expressions of Emotion task measures supraliminal (without backward masking) emotional face processing. Amygdala activation while viewing threat-related emotional faces relative to neutral faces was quantified using functional magnetic resonance imaging (fMRI) as a marker of Emotion Regulation Network engagement. Blood-oxygenation level dependent (BOLD) signal change before and after CBT-I treatment was compared by modeling the activity of the amygdala while viewing emotional faces using generalized linear models, producing beta weights for each participant and timepoint. A positive beta-weight at pre-treatment means that the amygdala increased its activity in response to emotional faces, relative to neutral faces. A negative value for the change in amygdala activation means that average amygdala reactivity decreased following treatment. It is theorized that higher amygdala emotional reactivity is associated with worse outcomes. | Assessed at week 0 and week 11 |
| Change in Amygdala Activation During the Facial Expressions of Emotion Task (Nonconscious Condition) as Assessed by Functional Magnetic Resonance Imaging | The Nonconscious condition of the Facial Expressions of Emotion task measures subliminal (with backward masking) emotional face processing. Amygdala activation while viewing threat-related emotional faces relative to neutral faces was quantified using fMRI as a marker of Emotion Regulation Network engagement. Blood-oxygenation level dependent (BOLD) signal change before and after CBT-I treatment was compared by modeling the activity of the amygdala while viewing emotional faces using generalized linear models, producing beta weights for each participant and timepoint. A positive beta-weight at pre-treatment means that the amygdala increased its activity in response to emotional faces, relative to neutral faces. A negative value for the change in amygdala activation means that average amygdala reactivity decreased following treatment. It is theorized that higher amygdala emotional reactivity is associated with worse outcomes. | Assessed at week 0 and week 11 |
| Change in Amygdala Activation During the Emotion Regulation Scenes Task |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Beck Scale of Suicidal Ideation Total Score | The Beck Scale of Suicidal Ideation (BSSI) is designed to assess the severity of suicidal ideation over the past week. The total score is derived from the sum of the first 19 items, creating an overall score ranging from 0 to 38. Scores of 0 are interpreted as no suicidal ideation, 1-8 as low levels, 9-16 as moderate levels, and 17-38 as high levels. A negative change score means an average reduction in suicidal ideation following CBT-I treatment. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Andrea Goldstein-Piekarski, PhD | Stanford University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stanford University | Palo Alto | California | 94304 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42098309 | Derived | Krause AJ, Osorno R, Solomon NL, Ahmadi M, Lam P, Magana O, Blozyte-Sakenis E, Harris LN, Babros MC, Izabel SS, Bernert RA, Williams LM, Gross JJ, Ma J, Lazzeroni LC, Yesavage JA, Manber R, Saletin JM, Goldstein-Piekarski AN. Examining fronto-limbic brain and sleep mechanisms of antidepressant effects in cognitive-behavioral therapy for insomnia. Neuropsychopharmacology. 2026 May 7:10.1038/s41386-026-02431-0. doi: 10.1038/s41386-026-02431-0. Online ahead of print. |
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| ID | Title | Description |
|---|---|---|
| FG000 | CBT-I | Cognitive Behavioral Therapy (CBT) for Insomnia: Participants will meet with a psychologist once a week for six weeks to complete a brief CBT-I intervention. Cognitive Behavioral Therapy for Insomnia consists of a cognitive therapy and a behavioral therapy. The cognitive therapy is designed to identify incorrect ideas about sleep, challenge their validity, and replace them with correct information. This therapy tries to reduce worry, anxiety, and fear that one won't sleep by providing accurate information about sleep. The behavioral therapy increases sleep quality by limiting excessive time spent in bed to increase homeostatic sleep drive and sleep consolidation. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | CBT-I | Cognitive Behavioral Therapy for Insomnia: Participants will meet with a psychologist once a week for six weeks to complete a brief CBT-I intervention. Cognitive Behavioral Therapy for Insomnia consists of a cognitive therapy and a behavioral therapy. The cognitive therapy is designed to identify incorrect ideas about sleep, challenge their validity, and replace them with correct information. This therapy tries to reduce worry, anxiety, and fear that one won't sleep by providing accurate information about sleep. The behavioral therapy increases sleep quality by limiting excessive time spent in bed to increase homeostatic sleep drive and sleep consolidation. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Change in Amygdala Activation During the Facial Expressions of Emotion Task (Conscious Condition) as Assessed by Functional Magnetic Resonance Imaging | The Conscious condition of the Facial Expressions of Emotion task measures supraliminal (without backward masking) emotional face processing. Amygdala activation while viewing threat-related emotional faces relative to neutral faces was quantified using functional magnetic resonance imaging (fMRI) as a marker of Emotion Regulation Network engagement. Blood-oxygenation level dependent (BOLD) signal change before and after CBT-I treatment was compared by modeling the activity of the amygdala while viewing emotional faces using generalized linear models, producing beta weights for each participant and timepoint. A positive beta-weight at pre-treatment means that the amygdala increased its activity in response to emotional faces, relative to neutral faces. A negative value for the change in amygdala activation means that average amygdala reactivity decreased following treatment. It is theorized that higher amygdala emotional reactivity is associated with worse outcomes. | Participants who completed the pre-treatment baseline, and who had interpretable image data at the respective timepoint. | Posted | Mean | Standard Deviation | Beta weights (arbitrary units) | Assessed at week 0 and week 11 |
Up to 11 weeks
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | CBT-I | Cognitive Behavioral Therapy for Insomnia: Participants will meet with a psychologist once a week for six weeks to complete a brief CBT-I intervention. Cognitive Behavioral Therapy for Insomnia consists of a cognitive therapy and a behavioral therapy. The cognitive therapy is designed to identify incorrect ideas about sleep, challenge their validity, and replace them with correct information. This therapy tries to reduce worry, anxiety, and fear that one won't sleep by providing accurate information about sleep. The behavioral therapy increases sleep quality by limiting excessive time spent in bed to increase homeostatic sleep drive and sleep consolidation. |
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| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Mood Changes | Psychiatric disorders | Systematic Assessment |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Andrea Goldstein-Piekarski, PhD | Stanford University | 650-721-4780 | agoldpie@stanford.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan: Original | Dec 10, 2020 | Sep 23, 2025 | Prot_SAP_001.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan: Revised | May 25, 2025 | Sep 11, 2025 | SAP_002.pdf |
| ICF | No | No | Yes | Informed Consent Form | Aug 18, 2023 | May 23, 2024 | ICF_000.pdf |
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| ID | Term |
|---|---|
| D007319 | Sleep Initiation and Maintenance Disorders |
| D003863 | Depression |
| D001008 | Anxiety Disorders |
| ID | Term |
|---|---|
| D020919 | Sleep Disorders, Intrinsic |
| D020920 | Dyssomnias |
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |
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| ID | Term |
|---|---|
| D015928 | Cognitive Behavioral Therapy |
| ID | Term |
|---|---|
| D001521 | Behavior Therapy |
| D011613 | Psychotherapy |
| D004191 | Behavioral Disciplines and Activities |
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This is a single-armed trial. All participants will receive Cognitive Behavioral Therapy for Insomnia
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Participants are asked to "look" or "decrease" their emotional response to negative and neutral valence images taken from the International Affective Picture System. Amygdala activation while viewing emotional scenes relative to neutral scenes, and while passively viewing emotional scenes relative to down-regulating emotion, was quantified using fMRI as a marker of Emotion Regulation Network engagement. Blood-oxygenation level dependent (BOLD) signal change before and after CBT-I treatment was compared by modeling the activity of the amygdala while viewing emotional scenes or while downregulating using generalized linear models, producing beta weights for each participant and timepoint. A positive beta-weight at pre-treatment means that the amygdala increased its activity in response to the task demands, and a negative value means that average amygdala reactivity decreased following treatment. It is theorized that higher amygdala emotional reactivity is associated with worse outcomes |
| Assessed at week 0 and week 11 |
| Change in Amygdala-Medial Prefrontal Cortex Connectivity During the Facial Expressions of Emotion Task (Conscious Condition) as Assessed by Functional Magnetic Resonance Imaging | This outcome tested whether amygdala connectivity with regions of the mPFC was changed following treatment using psychophysiological interaction (PPI) analysis for this contrast/task. Regions of the mPFC include: dorsal anterior cingulate cortex (dACC), ventromedial prefrontal cortex (vmPFC), dorsomedial prefrontal cortex (dmPFC), subgenual anterior cingulate cortex (sgACC), pregenual anterior cingulate cortex (pACC). PPI analyses produce a beta weight for each participant at each timepoint, and represents the degree to which the connectivity of the amygdala and mPFC is modulated by task conditions. A positive value means average connectivity increases in the task-contrast, and a positive value for the change score means an increase in average connectivity following CBT-I treatment. It is theorized that higher amygdala connectivity is associated with better outcomes. | Assessed at week 0 and week 11 |
| Change in Beck Depression Inventory (BDI) | This measure is of the Beck Depression Inventory-II total score after excluding one sleep item. The BDI-II is a 21-item self-report scale with high validity and reliability that assesses the severity of depression symptoms. The depression items consist of: sadness, pessimism, past failure, loss of pleasure, guilty feelings, punishment feelings, self-dislike, self-criticalness, suicidal thoughts or wishes, crying, agitation, loss of interest, indecisiveness, worthlessness, loss of energy, irritability, changes in appetite, concentration difficulty, tiredness or fatigue, and loss of interest in sex. Items are scored from 0 to 3, and summed to create an overall score of 0 to 63. higher scores indicate greater levels of severity. The ranges for depression are: 0-13 minimal, 14-19 mild, 20-28 moderate, and 29-63 severe. A negative change score means that average depression symptom severity was reduced following CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in PSG Sleep Efficiency | Sleep efficiency (SE) is the percentage of total time in bed actually spent sleeping. Based on the overnight PSG sleep recording, SE will be calculated as the total time (minutes) spent asleep (sum of Stages N1, N2, N3, and REM) divided by the total time (minutes) in bed, and multiplied by 100. A positive change score means average sleep efficiency increased following CBT-I treatment. | Assessed at week 0 and week 11 |
| Assessed at week 0 and week 11 |
| Change in Columbia Suicide Severity Rating Scale | The Columbia Suicide Severity Rating Scale (CSSRS) is a 12-item checklist that was designed to quantify the severity of suicidal ideation and behavior. It is composed of two parts. The first six questions ask about suicidal ideation and behavior in the past month while the last six questions ask about suicidal ideation and behavior since the last visit. The CSSRS has been proven to be reliable and valid. It has also been shown to have high sensitivity and specificity to the different suicidal behavior classifications. The CSSRS does not provide a numerical score but categorizes risk levels based on responses. We report the proportions of risk at each timepoint. | Assessed at week 0 and week 11 |
| Change in Actigraph Sleep Onset Latency (SOL) as a Measure of Sleep Continuity | Sleep Onset Latency (SOL) is the time (minutes) from "lights out" to actually falling asleep (sleep onset). | Assessed at week 0 and week 11 |
| Change in Actigraph Number of Arousals as a Measure of Sleep Continuity | Number of Arousals is determined by number of times of awakening as seen on the actigraph data. | Assessed at week 0 and week 11 |
| Change in Actigraph Wake After Sleep Onset (WASO) as a Measure of Sleep Continuity | Wake After Sleep Onset (WASO) are periods of wakefulness occurring after sleep onset, before final awakening (sleep offset). | Assessed at week 0 and week 11 |
| Change in Actigraph Total Sleep Time (TST) as a Measure of Sleep Continuity | Total Sleep Time (TST) is the total time spent asleep, from the start of sleep onset to sleep offset subtracting any periods of wakefulness. | Assessed at week 0 and week 11 |
| Change in Actigraph Sleep Efficiency (SE) as a Measure of Sleep Continuity | Sleep Efficiency (SE) is calculated as TST divided by total time spent in bed, multiplied by 100. | Assessed at week 0 and week 11 |
| Change in PSG Sleep Onset Latency (SOL) as a Measure of Sleep Architecture | Sleep onset latency is the time it takes to fall asleep, specifically the amount of time in minutes from "LightsOff", which is the time at which the participant started trying to sleep, to stage 1 sleep. A negative change score means it took less time to fall asleep following CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in PSG Number of Arousals as a Measure of Sleep Architecture | Number of Arousals is determined by number of times of awakening by EEG changes. A negative change score means on average there were fewer overnight arousals following CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in PSG Wake After Sleep Onset (WASO) as a Measure of Sleep Architecture | Wake After Sleep Onset (WASO) are periods of wakefulness occurring after sleep onset, before final awakening (sleep offset) measured by EEG changes. A negative change value means there was less WASO on average after CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in PSG Total Sleep Time (TST) as a Measure of Sleep Architecture | Total Sleep Time (TST) is the total time (minutes) spent asleep, from the start of sleep onset to sleep offset, subtracting any periods of wakefulness. TST includes stages N1, N2, N3, and REM sleep. A positive change score means the average TST increased following CBT-I. | Assessed at week 0 and week 11 |
| Change in Sleep Physiology Measured by PSG | Fronto-central EEG power spectral density analysis associated with sleep stages will be calculated in the Delta (0.5-Hz), Theta (4-7Hz), Alpha (7-11Hz), Sigma (12-15Hz), Beta-1 (15-20Hz), Beta-2 (20-35Hz) and Gamma (35-45Hz) bands, according to published methods. A positive change score means there was an increase in absolute power in the specified frequency band following CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in Insomnia Severity Index (ISI) Scale Score | Subjective ratings of sleep disturbance and insomnia severity will be assessed with the Insomnia Severity Index. The Insomnia Severity Index (ISI) is a 7-item self-report measure of insomnia type, severity, and impact on functioning. The items consist of severity of sleep onset, sleep maintenance, early morning awakenings, sleep dissatisfaction, interference with daytime functioning, noticeability of sleep problems by others, and distress caused by sleep difficulties. Items are scored from 0 to 4 (0 = no problem, 4 = very severe problem), then summed to create an overall score of 0 to 28. Score ranges of insomnia are: 0-7 absent, 8-14 sub-threshold, 15-21 moderate, and 22-28 severe. The ISI has good validity and reliability. A negative change score means average insomnia symptoms improved following CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in 36-Item Short Form Survey (SF-36) Score | The SF-36 measures health-related quality of life based on eight domains: physical activity, social activities, limitations in activities due to physical health problems, bodily pain, general mental health, limitations in activities due to emotional problems, vitality, and general health perceptions. Items are recoded then averaged together to create each an average score for all items that the respondent answered. The eight subscales are then into two component summary t-scores (Mental and Physical Component Summary t-scores), each with a mean of 50 and a standard deviation of 10. A t-score higher than 50 means better mental or physical health than the general population, and a t-score below 50 means worse than the general population. Instructions for scoring these component scores recommends that they be set to missing if any subscales are missing. A positive change score means the Component Summary Score improved following CBT-I. | Assessed at week 0 and week 11 |
| Change in Beck Anxiety Inventory (BAI) | The BAI is a 21-item self-report scale that assesses the severity of anxiety symptoms. Items are scored from 0 to 3 (0 = not at all, 3 = severe), then summed to create an overall score range of 0 to 63. Higher scores indicate greater levels of severity, and the ranges for anxiety levels are: 0-9 normal to minimal, 10-18 mild to moderate, 19-29 moderate to severe, and 30-63 severe. The BAI consists of two factors: somatic and cognitive. A negative change score means that average anxiety symptom severity was reduced following CBT-I treatment. | Assessed at week 0 and week 11 |
| Change in Respiratory Sinus Arrhythmia (RSA)- Measured by PSG | RSA is the phenomenon of an increased heart rate during inhalation and a decreased heart rate during exhalation. Since these fluctuations are controlled mainly by vagal influences on the heart, RSA serves as a reliable metric for measuring parasympathetic activity. RSA has been proven to be a reliable measure of emotion regulation and emotional responding in numerous studies. | Assessed at week 0 and week 11 |
| Participants |
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| Age, Continuous | Mean | Standard Deviation | Years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| ID | Title | Description |
|---|---|---|
| OG000 | Pre-treatment Amygdala Activation | Baseline amygdala activation before CBT-I treatment. |
| OG001 | Change in Amygdala Activation | Post-treatment amygdala reactivity minus pre-treatment amygdala reactivity. |
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| Primary | Change in Amygdala Activation During the Facial Expressions of Emotion Task (Nonconscious Condition) as Assessed by Functional Magnetic Resonance Imaging | The Nonconscious condition of the Facial Expressions of Emotion task measures subliminal (with backward masking) emotional face processing. Amygdala activation while viewing threat-related emotional faces relative to neutral faces was quantified using fMRI as a marker of Emotion Regulation Network engagement. Blood-oxygenation level dependent (BOLD) signal change before and after CBT-I treatment was compared by modeling the activity of the amygdala while viewing emotional faces using generalized linear models, producing beta weights for each participant and timepoint. A positive beta-weight at pre-treatment means that the amygdala increased its activity in response to emotional faces, relative to neutral faces. A negative value for the change in amygdala activation means that average amygdala reactivity decreased following treatment. It is theorized that higher amygdala emotional reactivity is associated with worse outcomes. | Participants who completed pre-treatment baseline, and who had interpretable image data at the respective timepoint. | Posted | Mean | Standard Deviation | Beta weights (arbitrary units) | Assessed at week 0 and week 11 |
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| Primary | Change in Amygdala Activation During the Emotion Regulation Scenes Task | Participants are asked to "look" or "decrease" their emotional response to negative and neutral valence images taken from the International Affective Picture System. Amygdala activation while viewing emotional scenes relative to neutral scenes, and while passively viewing emotional scenes relative to down-regulating emotion, was quantified using fMRI as a marker of Emotion Regulation Network engagement. Blood-oxygenation level dependent (BOLD) signal change before and after CBT-I treatment was compared by modeling the activity of the amygdala while viewing emotional scenes or while downregulating using generalized linear models, producing beta weights for each participant and timepoint. A positive beta-weight at pre-treatment means that the amygdala increased its activity in response to the task demands, and a negative value means that average amygdala reactivity decreased following treatment. It is theorized that higher amygdala emotional reactivity is associated with worse outcomes | Participants who completed pre-treatment baseline, and who had interpretable image data at the respective timepoint. | Posted | Mean | Standard Deviation | Beta weights (arbitrary units) | Assessed at week 0 and week 11 |
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| Primary | Change in Amygdala-Medial Prefrontal Cortex Connectivity During the Facial Expressions of Emotion Task (Conscious Condition) as Assessed by Functional Magnetic Resonance Imaging | This outcome tested whether amygdala connectivity with regions of the mPFC was changed following treatment using psychophysiological interaction (PPI) analysis for this contrast/task. Regions of the mPFC include: dorsal anterior cingulate cortex (dACC), ventromedial prefrontal cortex (vmPFC), dorsomedial prefrontal cortex (dmPFC), subgenual anterior cingulate cortex (sgACC), pregenual anterior cingulate cortex (pACC). PPI analyses produce a beta weight for each participant at each timepoint, and represents the degree to which the connectivity of the amygdala and mPFC is modulated by task conditions. A positive value means average connectivity increases in the task-contrast, and a positive value for the change score means an increase in average connectivity following CBT-I treatment. It is theorized that higher amygdala connectivity is associated with better outcomes. | Participants who completed pre-treatment baseline, and who had interpretable image data at the respective timepoint. | Posted | Mean | Standard Deviation | Beta weights (arbitrary units) | Assessed at week 0 and week 11 |
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| Primary | Change in Beck Depression Inventory (BDI) | This measure is of the Beck Depression Inventory-II total score after excluding one sleep item. The BDI-II is a 21-item self-report scale with high validity and reliability that assesses the severity of depression symptoms. The depression items consist of: sadness, pessimism, past failure, loss of pleasure, guilty feelings, punishment feelings, self-dislike, self-criticalness, suicidal thoughts or wishes, crying, agitation, loss of interest, indecisiveness, worthlessness, loss of energy, irritability, changes in appetite, concentration difficulty, tiredness or fatigue, and loss of interest in sex. Items are scored from 0 to 3, and summed to create an overall score of 0 to 63. higher scores indicate greater levels of severity. The ranges for depression are: 0-13 minimal, 14-19 mild, 20-28 moderate, and 29-63 severe. A negative change score means that average depression symptom severity was reduced following CBT-I treatment. | All participants who competed pre-treatment baseline and with interpretable data at the respective timepoint. | Posted | Mean | Standard Deviation | units on a scale | Assessed at week 0 and week 11 |
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| Primary | Change in PSG Sleep Efficiency | Sleep efficiency (SE) is the percentage of total time in bed actually spent sleeping. Based on the overnight PSG sleep recording, SE will be calculated as the total time (minutes) spent asleep (sum of Stages N1, N2, N3, and REM) divided by the total time (minutes) in bed, and multiplied by 100. A positive change score means average sleep efficiency increased following CBT-I treatment. | Participants who completed pre-treatment baseline, and who had interpretable image data at the respective timepoint. | Posted | Mean | Standard Deviation | Sleep Efficiency (%) | Assessed at week 0 and week 11 |
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| Secondary | Change in Beck Scale of Suicidal Ideation Total Score | The Beck Scale of Suicidal Ideation (BSSI) is designed to assess the severity of suicidal ideation over the past week. The total score is derived from the sum of the first 19 items, creating an overall score ranging from 0 to 38. Scores of 0 are interpreted as no suicidal ideation, 1-8 as low levels, 9-16 as moderate levels, and 17-38 as high levels. A negative change score means an average reduction in suicidal ideation following CBT-I treatment. | Participants who completed pre-treatment baseline, and who had interpretable data at the respective timepoint. | Posted | Mean | Standard Deviation | score on a scale | Assessed at week 0 and week 11 |
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| Secondary | Change in Columbia Suicide Severity Rating Scale | The Columbia Suicide Severity Rating Scale (CSSRS) is a 12-item checklist that was designed to quantify the severity of suicidal ideation and behavior. It is composed of two parts. The first six questions ask about suicidal ideation and behavior in the past month while the last six questions ask about suicidal ideation and behavior since the last visit. The CSSRS has been proven to be reliable and valid. It has also been shown to have high sensitivity and specificity to the different suicidal behavior classifications. The CSSRS does not provide a numerical score but categorizes risk levels based on responses. We report the proportions of risk at each timepoint. | Participants who completed pre-treatment baseline, and who had interpretable CSSRS data at the respective timepoint. | Posted | Count of Participants | Participants | Assessed at week 0 and week 11 |
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| Secondary | Change in Actigraph Sleep Onset Latency (SOL) as a Measure of Sleep Continuity | Sleep Onset Latency (SOL) is the time (minutes) from "lights out" to actually falling asleep (sleep onset). | Not Posted | Assessed at week 0 and week 11 | Participants |
| Secondary | Change in Actigraph Number of Arousals as a Measure of Sleep Continuity | Number of Arousals is determined by number of times of awakening as seen on the actigraph data. | Not Posted | Assessed at week 0 and week 11 | Participants |
| Secondary | Change in Actigraph Wake After Sleep Onset (WASO) as a Measure of Sleep Continuity | Wake After Sleep Onset (WASO) are periods of wakefulness occurring after sleep onset, before final awakening (sleep offset). | Not Posted | Assessed at week 0 and week 11 | Participants |
| Secondary | Change in Actigraph Total Sleep Time (TST) as a Measure of Sleep Continuity | Total Sleep Time (TST) is the total time spent asleep, from the start of sleep onset to sleep offset subtracting any periods of wakefulness. | Not Posted | Assessed at week 0 and week 11 | Participants |
| Secondary | Change in Actigraph Sleep Efficiency (SE) as a Measure of Sleep Continuity | Sleep Efficiency (SE) is calculated as TST divided by total time spent in bed, multiplied by 100. | Not Posted | Assessed at week 0 and week 11 | Participants |
| Secondary | Change in PSG Sleep Onset Latency (SOL) as a Measure of Sleep Architecture | Sleep onset latency is the time it takes to fall asleep, specifically the amount of time in minutes from "LightsOff", which is the time at which the participant started trying to sleep, to stage 1 sleep. A negative change score means it took less time to fall asleep following CBT-I treatment. | Participants who completed pre-treatment baseline, and who had interpretable PSG data at the respective timepoint. | Posted | Mean | Standard Deviation | Minutes | Assessed at week 0 and week 11 |
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| Secondary | Change in PSG Number of Arousals as a Measure of Sleep Architecture | Number of Arousals is determined by number of times of awakening by EEG changes. A negative change score means on average there were fewer overnight arousals following CBT-I treatment. | Participants who completed pre-treatment baseline, and who had interpretable PSG data at the respective timepoint. | Posted | Mean | Standard Deviation | Number of Awakenings | Assessed at week 0 and week 11 |
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| Secondary | Change in PSG Wake After Sleep Onset (WASO) as a Measure of Sleep Architecture | Wake After Sleep Onset (WASO) are periods of wakefulness occurring after sleep onset, before final awakening (sleep offset) measured by EEG changes. A negative change value means there was less WASO on average after CBT-I treatment. | Participants who completed pre-treatment baseline, and who had interpretable PSG data at the respective timepoint. | Posted | Mean | Standard Deviation | Minutes | Assessed at week 0 and week 11 |
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| Secondary | Change in PSG Total Sleep Time (TST) as a Measure of Sleep Architecture | Total Sleep Time (TST) is the total time (minutes) spent asleep, from the start of sleep onset to sleep offset, subtracting any periods of wakefulness. TST includes stages N1, N2, N3, and REM sleep. A positive change score means the average TST increased following CBT-I. | Participants who completed pre-treatment baseline, and who had interpretable PSG data at the respective timepoint. | Posted | Mean | Standard Deviation | Minutes | Assessed at week 0 and week 11 |
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| Secondary | Change in Sleep Physiology Measured by PSG | Fronto-central EEG power spectral density analysis associated with sleep stages will be calculated in the Delta (0.5-Hz), Theta (4-7Hz), Alpha (7-11Hz), Sigma (12-15Hz), Beta-1 (15-20Hz), Beta-2 (20-35Hz) and Gamma (35-45Hz) bands, according to published methods. A positive change score means there was an increase in absolute power in the specified frequency band following CBT-I treatment. | All participants who competed pre-treatment baseline and with interpretable PSG data at the respective timepoint. | Posted | Mean | Standard Deviation | Absolute spectral power, µV²/Hz | Assessed at week 0 and week 11 |
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| Secondary | Change in Insomnia Severity Index (ISI) Scale Score | Subjective ratings of sleep disturbance and insomnia severity will be assessed with the Insomnia Severity Index. The Insomnia Severity Index (ISI) is a 7-item self-report measure of insomnia type, severity, and impact on functioning. The items consist of severity of sleep onset, sleep maintenance, early morning awakenings, sleep dissatisfaction, interference with daytime functioning, noticeability of sleep problems by others, and distress caused by sleep difficulties. Items are scored from 0 to 4 (0 = no problem, 4 = very severe problem), then summed to create an overall score of 0 to 28. Score ranges of insomnia are: 0-7 absent, 8-14 sub-threshold, 15-21 moderate, and 22-28 severe. The ISI has good validity and reliability. A negative change score means average insomnia symptoms improved following CBT-I treatment. | Participants who completed pre-treatment baseline, and who had ISI data at the respective timepoint. | Posted | Mean | Standard Deviation | units on a scale | Assessed at week 0 and week 11 |
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| Secondary | Change in 36-Item Short Form Survey (SF-36) Score | The SF-36 measures health-related quality of life based on eight domains: physical activity, social activities, limitations in activities due to physical health problems, bodily pain, general mental health, limitations in activities due to emotional problems, vitality, and general health perceptions. Items are recoded then averaged together to create each an average score for all items that the respondent answered. The eight subscales are then into two component summary t-scores (Mental and Physical Component Summary t-scores), each with a mean of 50 and a standard deviation of 10. A t-score higher than 50 means better mental or physical health than the general population, and a t-score below 50 means worse than the general population. Instructions for scoring these component scores recommends that they be set to missing if any subscales are missing. A positive change score means the Component Summary Score improved following CBT-I. | Participants who completed the pre-treatment baseline, and who had interpretable SF-36 data at the respective timepoint. | Posted | Mean | Standard Deviation | t-score | Assessed at week 0 and week 11 |
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| Secondary | Change in Beck Anxiety Inventory (BAI) | The BAI is a 21-item self-report scale that assesses the severity of anxiety symptoms. Items are scored from 0 to 3 (0 = not at all, 3 = severe), then summed to create an overall score range of 0 to 63. Higher scores indicate greater levels of severity, and the ranges for anxiety levels are: 0-9 normal to minimal, 10-18 mild to moderate, 19-29 moderate to severe, and 30-63 severe. The BAI consists of two factors: somatic and cognitive. A negative change score means that average anxiety symptom severity was reduced following CBT-I treatment. | All participants who competed pre-treatment baseline and with data at the respective timepoint. | Posted | Mean | Standard Deviation | units on a scale | Assessed at week 0 and week 11 |
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| Secondary | Change in Respiratory Sinus Arrhythmia (RSA)- Measured by PSG | RSA is the phenomenon of an increased heart rate during inhalation and a decreased heart rate during exhalation. Since these fluctuations are controlled mainly by vagal influences on the heart, RSA serves as a reliable metric for measuring parasympathetic activity. RSA has been proven to be a reliable measure of emotion regulation and emotional responding in numerous studies. | Not Posted | Assessed at week 0 and week 11 | Participants |
| 0 |
| 51 |
| 0 |
| 51 |
| 14 |
| 51 |
| Increased Anxiety | Psychiatric disorders | Systematic Assessment |
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| Fever/Cold Symptoms | Infections and infestations | Systematic Assessment |
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Not provided
Not provided
Not provided
| D001523 |
| Mental Disorders |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
| Anger > Neutral |
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| Analysis of Nonconscious Threat > Neutral amygdala reactivity was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.99 | P-values from linear mixed effects models were False Discovery Rate-adjusted (Benjamini-Hochberg method) for the number of contrasts (3) in the Nonconscious Faces task. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of Emotion Regulation Scenes task Look Negative > Decrease Negative amygdala reactivity was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.65 | P-values from linear mixed effects models were False Discovery Rate-adjusted (Benjamini-Hochberg method) for the number of contrasts (2) in the Emotion Regulation Scenes task. The a priori threshold for statistical significance was < 0.05. | Other |
| Amygdala-pACC Connectivity |
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| Amygdala-sgACC Connectivity |
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| Amygdala-vmPFC Connectivity |
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| Analysis of amygdala-dmPFC connectivity from the Conscious Fear > Neutral task/contrast was done by applying linear mixed effects models testing the effect of treatment-time on connectivity. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.86 | P-values from linear mixed effects models were False Discovery Rate-adjusted (Benjamini-Hochberg method) for the number of mPFC regions (5). The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of amygdala-pACC connectivity from the Conscious Fear > Neutral task/contrast was done by applying linear mixed effects models testing the effect of treatment-time on connectivity. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.83 | P-values from linear mixed effects models were False Discovery Rate-adjusted (Benjamini-Hochberg method) for the number of mPFC regions (5). The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of amygdala-sgACC connectivity from the Conscious Fear > Neutral task/contrast was done by applying linear mixed effects models testing the effect of treatment-time on connectivity. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.23 | P-values from linear mixed effects models were False Discovery Rate-adjusted (Benjamini-Hochberg method) for the number of mPFC regions (5). The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of amygdala-vmPFC connectivity from the Conscious Fear > Neutral task/contrast was done by applying linear mixed effects models testing the effect of treatment-time on connectivity. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.83 | P-values from linear mixed effects models were False Discovery Rate-adjusted (Benjamini-Hochberg method) for the number of mPFC regions (5). The a priori threshold for statistical significance was < 0.05. | Other |
| Moderate Risk |
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| High Risk |
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| Other |
| Alpha (7-11Hz) |
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| Sigma (12-15Hz) |
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| Beta-1 (15-20Hz) |
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| Beta-2 (20-35Hz) |
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| Gamma (35-45Hz) |
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| Analysis of change in PSG Theta absolute power was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.23 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of change in PSG Alpha absolute power was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.11 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of change in PSG Sigma absolute power was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.44 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of change in PSG Beta-1 absolute power was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.68 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of change in PSG Beta-2 absolute power was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.74 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of change in PSG Gamma absolute power was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.84 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |
| Analysis of change in SF-36 Physical Component Score was done by applying linear mixed effects models testing the effect of treatment-time. Random intercepts at the individual participant level are included to account for the clustering of observations within individuals across time. All statistical models include age and sex as covariates of non-interest. | Mixed Models Analysis | 0.94 | P-values are uncorrected from linear mixed effects models. The a priori threshold for statistical significance was < 0.05. | Other |