Understanding brain mechanisms of cognitive behavioral ...Understanding brain mechanisms of...
Transcript of Understanding brain mechanisms of cognitive behavioral ...Understanding brain mechanisms of...
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Understanding brain mechanisms of cognitive behavioral therapy for
depression in obesity
Jun Ma, MD, PhD, FAHA, FABMR Professor of Medicine
Director, Center for Health Behavior Research University of Illinois at Chicago
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Financial disclosures: None
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Background
• Integrated therapy for comorbid depression and obesity is lacking • Neural mechanisms are understudied
CDC, 2015
Prevalence of obesity
CDC, 2014
Depression and obesity
NIH, 2017
Major depression
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Outline
•Design overview of two linked studies •Depression treatment outcomes
•Mediating effects of neural circuit functions on
changes in theory-based constructs for Problem-Solving Therapy for depression
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RAINBOW: Research Aimed at Improving Both Mood and Weight
Study design (R01 HL119453)
6-Month 12-Month 18-Month 24-Month
✔ ✔ (Primary)
In progress In progress
• Recruit
• Screen
• Baseline Rand
omize
(n
=409
) Intervention
Usual care control
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Program to Encourage Active and Rewarding Lives (PEARLS)
Evidence-Based Programs
Group Lifestyle Balance (GLB) program
• Collaborative stepped care • Problem-Solving Therapy/PST (first-line) • As-needed antidepressant medications • Developed by Univ. of Washington
• Adapted from Diabetes Prevention Program • Healthy eating, active living, and behavioral
self-management • Developed by Univ. of Pittsburgh
I-CARE Intervention 12-month Health Coach-Led Team-Based Care
• Active intervention: 9 in-person sessions & 12 home videos over 6 months • Maintenance: 6 monthly phone sessions • Technology-enhanced, collaborative care
I-CARE: Integrated Coaching for Better Mood and Weight intervention
GLB references: Ma et al. 2012 JAMA intern Med Kramer et al. 2009 Am J Prev Med
PEARLS references: Ciechanowski et al. 2004 JAMA Chaytor et al. 2011 Epilepsy & behavior : E&B Ciechanowski et al. 2010 Epilepsy & behavior : E&B Katon et al. 2010 Contemp Clin Trials ; 2010 NEJM
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PEARLS program for depression
GLB program for obesity
I-CARE Intervention for comorbid depression and obesity
Primary • Depression severity • BMI Secondary • CVRFs (waist, BP) • Anxiety, sleep • Disability • Quality of life
• Problem-solving skill training
• Goal setting • Self-monitoring • Action planning • Social support
Intervention Techniques Outcomes
• Heathy eating • Physical activity • Problem-solving
abilities & attitudes Problem
orientation Problem-solving
skills
Cognition/Behavior
Understanding Effectiveness
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ENGAGE Project (UH2 HL132368): Engaging self-regulation targets to understand the mechanisms
of behavior change and improve mood and weight outcomes
Jun Ma and Leanne Williams
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PEARLS program for depression
GLB program for obesity
I-CARE Intervention for comorbid depression and obesity
Primary • Depression severity • BMI Secondary • CVRFs (waist, BP) • Anxiety, sleep • Disability • Quality of life
• Problem-solving skill training
• Goal setting • Self-monitoring • Action planning • Social support
Intervention Techniques Outcomes
• Heathy eating • Physical activity • Problem-solving
abilities & attitudes Problem
orientation Problem-solving
skills
Cognition/Behavior Self-Regulation Targets
Regulation of emotion
Regulation of cognition
Regulation of self-focused reflection
Understanding Mechanisms: Self-Regulation
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ENGAGE Testing Flow
Baseline 2-Month 6-Month 12-Month 18-Month 24-Month
✔ ✔
N/A ✔
✔ ✔
✔ ✔
In progress N/A
In progress In progress
x 4 visits
RAINBOW (n=409)
ENGAGE (n=108)
Intervention Usual care control
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Baseline characteristics Mean ± SD, % Age, years 51.0 ± 12.1 Female 70 Race/Ethnicity
Non-Hispanic White 71 Asian/Pacific Islander 10
Hispanic 14 Education
Some college 24 College graduate and beyond 70
Body mass index (BMI), kg/m2 36.7 ± 6.4 Patient Health Questionnaire (PHQ9) 13.8 ± 3.1 Depression Symptom Checklist (SCL20) 1.5 ± 0.5 Prior depression per EHR* 70 Treated with antidepressant medications 41 General Anxiety Disorder (GAD7) 8.4 ± 5.1 *EHR, electronic
health records
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Depression Severity
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Depression Response and Remission
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SCL20 Change and PST Theoretical Constructs
Overall Problem Solving Ability r=-0.25 p<0.001
Positive Problem Orientation r=-0.05 p=0.44
Negative Problem Orientation r=0.25 p<0.001
Rational Problem Solving r=0.06 p=0.33
Impulsive/Careless Style r=0.14 p=0.01
Avoidant Style r=0.28 p<0.001
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Taxonomy of Neural Circuit Dysfunctions Self-reflection Emotion regulation Cognitive control
Brain circuits
Default Mode Negative Affect Sadness
Negative Affect Threat Positive Affect Cognitive Control
Quantify circuit dys-
functions
Rumination Negative Bias Threat Dysregulation Anhedonia Cognitive
Dyscontrol
(CD1,D2 + CD1,D3 + CD1,D4 + CD2,D4 +
CD3,D4)/5
(AN1 + AN2 + AN3 + AN4 + AN5 - CN1,N2 -CN1,N3 +
CN1,N4 + CN1,N5)/9
(-AT1 + AT2 + AT3 -CT1,T2 - CT1,T3)/5
(AP1-AP2-AP3)/3
(-AC1-AC2-AC3-CC1,C2 - CC2,C3)/5
Williams, 2016 Lancet Psychiatry
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Brain Circuit Dysfunctions at 2 Months
Low dysfunction High dysfunction
Intervention Control
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Brain Circuit Dysfunctions at 2 Months
Impu
lsiv
e/Ca
rele
ss Negative Affect - Threat Cognitive Control Circuit
Avoi
dant
Mal
adap
tive
Prob
lem
-Sol
ving
Sty
les
Cognitive Control Circuit Negative Affect - Sadness
Low dysfunction High dysfunction
Intervention Control
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Conclusions
• Brain functions for the regulation of cognition and emotion may bear important implications for improving the potency and efficiency of cognitive behavioral therapy
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Acknowledgements
R01HL119453 UH2HL132368
Jeremy Bailenson, PhD, Stanford
Jun Ma, MD PhD Univ Illinois Chicago
Lisa Goldman Rosas, PhD MPH, PAMFRI
Mark Snowden, MD MPH, Univ Washington
Elizabeth Venditti, PhD, Univ Pitts
Megan Lewis, PhD RTI
Philip Lavori, PhD Stanford
Lan Xiao, PhD PAMFRI
Olivier Gevaert, PhD, Stanford
Leanne Williams, PhD Stanford
Joshua Smyth, PhD Penn State Univ
Paul Dagum, MD PhD, Mindstrong
Trisha Suppes, MD PhD, Stanford
Brian Wandell, PhD, Stanford
Walter Greenleaf, PhD, Stanford
Catherine Stoney, PhD, NHLBI
Susan Czajkowski, PhD, NCI
Janine Simmons, MD PhD, NHLBI
Jeremy Goldhaber-Fiebert, PhD, Stanford
RAINBOW and ENGAGE study participants and staff
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Brain Circuit Dysfunctions at Baseline Predict
Low dysfunction High dysfunction
Intervention Control
Cognitive dyscontrol Negative bias Rumination
Chan
ge in
Fru
it/Ve
geta
ble
Inta
ke
Chan
ge in
Phy
sica
l Act
ivity
Participants who did NOT benefit from the intervention if at baseline they had: - LOW cognitive dyscontrol - HIGH negative bias - HIGH rumination
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Not Engaged (30%)
Somewhat Engaged (11%)
Engaged (59%)
Sessions attended*** 4.5 ± 2.6 a 12.0 ± 4.1 b 14.8 ± 1.0 c Weeks with self-monitoring:
Weight*** 2.1 ± 3.3 a 4.3 ± 4.8 a 17.5 ± 11.1 b Activity minutes*** 1.4 ± 2.2 a 5.5 ± 5.5 a 17.7 ± 11.7 b
Pedometer steps*** 8.0 ± 8.4 a 21.4 ± 16.0 b 33.3 ± 14.6 c
Intervention Engagement
***P < 0.0001. abc Different letters denote significant pairwise differences. Values are mean ± SD unless otherwise noted.
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Intervention Response: PHQ9 Trajectories
β1 = Linear coefficient, β2 = Quadratic coefficient *Includes intervention participants (70%) with PHQ9 data in at least 3 quarters during the yearlong intervention
Pred
icte
d PH
Q9
scor
es*
Weeks since intervention session 1
Cluster 2-Moderate symptoms with treatment response: 10% Intercept = 12.90350, P<.0001; β1 = -0.41714, P<.0001; β2 = 0.00551, P<.0001
Cluster 1-Moderate symptoms without treatment response: 20% Intercept = 11.04656, P<.0001 β1 = -0.11193, P=0.0034; β2 = 0.00195, P=0.0146
Cluster 3-Milder symptoms with treatment response: 40% Intercept = 7.40531; P<.0001; β1 = -0.23414, P<.0001; β2 = 0.00336, P<.0001
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Intervention Response: % Weight Change Trajectories
Pre
dict
ed %
wei
ght c
hang
e fr
om b
asel
ine*
Weeks since baseline
β1 = Linear coefficient, β2 = Quadratic coefficient *Includes intervention participants (60%) with self-monitored weight data in at least 3 quarters during the yearlong intervention
Cluster 1-Minimal weight loss: 25% β1 = -0.06399, P<.0001; β2 = 0.00126, P<.0001
Cluster 2-Moderate weight loss: 30% β1 = -0.28481, P<.0001; β2 = 0.00242, P<.0001 Cluster 3-Most weight loss: 6%
β1 = -0.52924, P<.0001; β2 = 0.00484, P<.0001
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Baseline Characteristics Intervention Engagement
PHQ9 Response
Behavioral Problem-solving abilities
Positive problem orientation
Negative problem orientation
Clinical Prior depression per EHR
Systolic blood pressure
Depression severity (SCL20)
Obesity and depression severity
Anxiety (GAD7)
Post-traumatic stress disorder
Hospitalizations last year
Baseline Characteristics Intervention Engagement
PHQ9 Response
Sociodemographic Female
Education
Family annual income
Married/living with a partner
Psychosocial Problems with pain/discomfort
Problems with anxiety/depression
Obesity-related problems
Sheehan Disability Scale scores
SF8 mental health scores
Better intervention engagement and PHQ9 response associated with…
Positive association. Inverse association.
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SCL20 Change and PST Theoretical Constructs