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Sex Differences in the
Relationship Between
Adolescent Brain Activity
and Depressive
Symptoms
Chase Antonacci
Philosophy-Neuroscience-Psychology
(1) Ferrari, Alize J., et al. “Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the
Global Burden of Disease Study 2010.” PLoS Medicine, vol. 10, no. 11, 2013,
doi:10.1371/journal.pmed.1001547.
(1)
• 3rd leading cause of disease burden
Ø 66 million DALYs
Ø Prevalence
Ø Suicide
• Adolescence
• Genes + Environment à Depression
• Risk & Resiliency
Major Depressive Disorder
(2)
• 3rd leading cause of disease burden
Ø 66 million DALYs
Ø Prevalence
Ø Suicide
• Adolescence
• Genes + Environment à Depression
• Risk & Resiliency
(2) Noorden, M. S., Minkenberg, S. E., Giltay, E. J., Hollander-Gijsman, M. E., Rood, Y. R., Wee, N.
J., & Zitman, F. G. (2010). Pre-adult versus adult onset major depressive disorder in a naturalistic
patient sample: The Leiden Routine Outcome Monitoring Study. Psychological Medicine, 41(07),
1407-1417. doi:10.1017/s0033291710002199
Major Depressive Disorder
Biology EnvironmentMDD
• 3rd leading cause of disease burden
Ø 66 million DALYs
Ø Prevalence
Ø Suicide
• Adolescence
• Genes + Environment à Depression
• Risk & Resiliency
Major Depressive Disorder
Sex Differences in MDD
• Factors impacting risk:
Ø Age
Ø Marital Status
Ø SES
Ø Sex
• 2x globally
• Adolescence
Ø Why? Can we predict?
(3) Hankin BL, Abramson LY, Moffitt TE, McGee R, Silva PA, Angell KE. Development of depression from
preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. J Abnorm
Psychol. 1998;107:128-140.
(3)
Sex Differences in MDD
• Functional Differences – Adults
• Emotional Responsivity
• Emotion Regulation – Cog
Reappraisal
Ø Men more efficient?
Ø Women upregulate positive?
(4)
(4) McRae, K., Ochsner, K. N., Mauss, I. B., Gabrieli, J. J. D., & Gross, J. J. (2008). Gender
Differences in Emotion Regulation: An fMRI Study of Cognitive Reappraisal. Group Processes
& Intergroup Relations : GPIR, 11(2), 143–162. https://doi.org/10.1177/1368430207088035
Emotion Regulation
• ER = Conscious & unconscious cognitive
and behavioral processes by which emotions
are modulated and controlled
• ER Schema
• Adaptive: ex. Cognitive Reappraisal
Ø Adaptive Behavioral Response
• Maladaptive: ex. Suppression
Ø Risk for depressive symptomatology
Emotion Regulation
• ER key for interpersonal relationships5
Ø Prosocial tendencies
Ø Interpersonal sensitivity
• Better psychosocial outcomes6
Ø Life satisfaction
Ø Social support perception
Ø Positive affect
• Social Development – tripartite
model7
Ø Parenting styles à differential
activation
(5) Lopes, P. N., Salovey, P., Côté, S., & Beers, M. (2005). Emotion Regulation Abilities and the
Quality of Social Interaction. Emotion, 5(1), 113–118. https://doi.org/10.1037/1528-
3542.5.1.113
(6) Verzeletti, C., Zammuner, V. L., Galli, C., & Agnoli, S. (2016). Emotion regulation strategies
and psychosocial well-being in adolescence. Cogent Psychology, 3(1).
(7) Morris, A. S., Criss, M. M., Silk, J. S., & Houltberg, B. J. (2017). The Impact of Parenting on
Emotion Regulation During Childhood and Adolescence. Child Development Perspectives,
11(4), 233–238. https://doi.org/10.1111/cdep.12238
ER & Depression
• Depression = Disorder of Impaired Emotion Regulation
Ø Difficulty in ER = “core vulnerability” in adolescents
Ø Inhibit processing of negative thought & feelings
• ER in adjustment problems & depression development
• Joorman & Gotlib8: MDD à Lack of inhibitory control for
negative emotions à rumination & decreased reappraisal
Ø Maladaptive strategies ~ increased depressive symptoms
(8) Joormann, J., & Gotlib, I. H. (2010). Emotion Regulation in Depression: Relation to Cognitive Inhibition.
Cognition & Emotion, 24(2), 281 298. https://doi.org/10.1080/02699930903407948
Localizing ER
• ER processes recruit cog control regions
to modulate semantic representations
• Lateral PFC, amygdala, IFG, insula,
temporal/parietal cortices, ACC, PCC
Ø Processing vs. metabolic demand?
• Network!
Ø Different strategies à different
connectivity pathways
o Mindfulness: regulate amygdala via mPFC
o Suppression: regulate amygdala via dlPFC
Brain Regions Implicated in Emotion Regulation
Explicit ER Implicit ER
(9) Brain picture: Goldin, P. R., Mcrae, K., Ramel, W., & Gross, J. J. (2008). The Neural Bases of Emotion Regulation:
Reappraisal and Suppression of Negative Emotion. Biological Psychiatry, 63(6), 577-586. doi:10.1016/j.biopsych.2007.05.031
(9)
ER Network
• MDD = network-wide dysfunction
Ø Orbitofrontal cortex + medial PFC
• Gotlib & Joormann10: Emotional Faces
(10) Gotlib, I. H., & Joormann, J. (2010). Cognition and depression: Current status
and future directions. Annual Review of Clinical Psychology, 6, 285–312.
(11) Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., & Habel, U.
(2014). Neural network of cognitive emotion regulation – an ALE meta-
analysis and MACM analysis. NeuroImage, 87, 345-55.
(11)
Social Theory
• Nolen-Hoeksema8: Social factors influence vulnerability
• Adolescence: realization of social capital disparity
Ø Greater trauma: sexual abuse, poverty, harassment, constrained choices
Ø Adulthood: domestic/occupational discrimination
• Developmental disturbance à biological disruptions
Ø Chronic stress & HPA axis
Ø Elevated urinary cortisol & failure to suppress endogenous cortisol
Ø Compromised stress response system
Ø Neurocircuitry disruption à increased vulnerability
• Mechanistically similar to ACEs13?
(12) Nolen-Hoeksema, S. (2001a). Gender Differences in Depression. Current
Directions in Psychological Science, 10(5), 173–176.
(13) Luby, J. L., Barch, D., Whalen, D., Tillman, R., & Belden, A. (2017). Association
Between Early Life Adversity and Risk for Poor Emotional and Physical Health in
Adolescence: A Putative Mechanistic Neurodevelopmental Pathway. JAMA Pediatrics,
171(12), 1168–1175.
Biological Theory
• Innate biological differences
• Corticotrophin releasing factor &
glucocorticoids
• Female rats: higher sensitivity to low
levels CRF & less adaptation to high
• Genetic heritability
• Systematic dysregulation
(14)
(14) Bangasser, D. A. (2013). Sex differences in stress-related receptors: “micro”
differences with “macro” implications for mood and anxiety disorders. Biology of Sex
Differences, 4(1), 2. https://doi.org/10.1186/2042-6410-4-2
Etiology
Biology Environment
Risk
&
Resiliency
Current Study
• Objective: examine neurobiological differences between boys and girls
underlying the differential in depressive symptomatology
• What rather than why
• Prediction?
• Hypothesis:
Ø Girls will exhibit lower activation relative to boys in key ER regions
including the amygdala, dlPFC, vmPFC, ACC, PCC, and insula
Ø Girls will exhibit higher rates of depressive symptoms (MFQ) and higher
difficulty in emotion regulation (DERS)
Methods
Participants & Procedure
• Dyadic Inter-Brain Signaling Project
• fMRI hyperscanning
• 29 mother-child dyads
• Adolescent ages 14-16
(M = 14.8)
• Healthy sample (MINI 7.0)
• Visit 1: Screening & Assessment
• Visit 2: Scan
TEAM
Task
fMRI
Hyperscanning
Methods
Procedure
• MFQ: Mood & Feelings Questionnaire
Ø 33 questions, scored from 0-66
Ø Assess for depressive symptoms
Ø 0 – 2 Likert scale: “not true,” “somewhat true,” or “true”
• DERS: Difficulties in Emotion Regulation Scale
Ø 36 questions, scored from 36-180
Ø Six facets of ER
Ø 1-5 Likert scale: “almost never”…”almost always”
Methods
TEAM Task
Testing Emotional Attachment & Mutuality (TEAM) Task
Adolescents Activation Profile
Methods
Analyses
• Behavioral: group differences in behavioral measures
• Neuroimaging:
Ø Pre-processing: Slice-time correction, motion correction, spatial
normalization to Talairach & Tournoux (1988), early TR exclusion, smoothing with
6mm FWHM Gaussian kernel
Ø Modeling: ‘costly error’ – ‘both correct’; nuisance regressors
Ø Group Analysis: task effects, MFQ, DERS
Ø Masking: 70% whole brain average, ROI masks to a priori selected regions
Ø Multiple comparisons: voxelwise p<0.005, a cluster-size threshold of p<0.05
Methods
Terminology
• “Sex” versus “gender”
• Surveyed “sex” of participants
• Biology-based vs. socially-determined
influences terminology
• Consistent with literature
• “Sex” as neutral interpretation
Ø Don’t defend implications
Results
Behavioral Data
Table 1: Descriptive and inferential statistics for DERS & MFQ Self-Report Measures. No group-level differences appeared on self-report scores between
boys and girls. The two measures that did exhibit group-level differences (APQ-Mom Involvement and SCARED-Social Anxiety Disorder) were not included in
this table given that they were not measures of interest in the present study.
Self-Report Measures
Results
Main Effects
• Strong task effects
• Activation following a
parent’s costly error
• Large clusters in ER
regions
• Cluster threshold = 378
• No main effects of
MFQ/DERS
Task Effects
Results
MFQ
• Boys & girls differed in the relationship between MFQ score & brain activity
in both the PCC and dlPFc bilaterally
• Boys exhibited greater activation on average in response to a costly error
made by a parent
Results
MFQ – PCC
• Opposite activation
trends
• Boys: higher MFQ scores
associated with
upregulation of the PCC
• Girls: downregulation of
the PCC associated with
greater MFQ scores
• Recruitment efficacy?
MFQ: Posterior Cingulate Cortex
Results
MFQ – dlPFC
• Opposite activation
trends
• Boys: higher MFQ scores
associated with
upregulation of the
dlPFC
• Girls: downregulation of
the dlPFC associated
with greater MFQ scores
• Recruitment efficacy?
MFQ: Dorsolateral Prefrontal Cortex
Results
DERS
• Boys & girls differed in the relationship
between DERS score & brain activity in both the right PCC
• Opposite activation trends – analogous to MFQ
DERS: Right Posterior Cingulate
Implications
• Observed difference between brain activity & both depressive symptoms
and emotion regulation skill between adolescent boys & girls – opposite
trends in activation
• Potential neurobiological mechanism underlying risk differential
• May experience similar levels of depressive symptoms à progression of
MDD more prevalent due to differences in ER networks
• Alternative interpretations?
• Adolescence key for cementing ER strategy à risk across lifespan
(10) Yap, B. H., Allen, N. B., & Ladouceur, C. D. (2008). Maternal Socialization of Positive Affect:
The Impact of Invalidation on Adolescent Emotion Regulation and Depressive Symptomatology -
Yap - 2008 - Child Development - Wiley Online Library. Child Development, 79 (5), 1415–1341.
(11) Golkar, A., Lonsdorf, T. B., Olsson, A., Lindstrom, K. M., Berrebi, J., Fransson, P., … Öhman, A.
(2012). Distinct contributions of the dorsolateral prefrontal and orbitofrontal cortex during emotion
regulation. PloS One, 7(11), e48107. https://doi.org/10.1371/journal.pone.0048107
Strengths & Weaknesses
Strengths:
• One of the first to examine functional differences in adolescent populations
relating to sex differences in depression
• Social engagement task; not conscious cognitive manipulation of ER
Weaknesses:
• Longitudinal data
• Small sample size & restricted range
Future Directions
• Longitudinal investigation – are these results predictive of MDD onset?
• Can patterns in pre-depressive brain activity be used to identify those
at risk and enable earlier/more effective intervention?
• Directional investigation – is up/downregulation a ‘product’ or ‘driver’
of depressive symptomatology
• ER development – how does parent/peer social environment shape
ER networks & interact with depression?
• Can models approximate an ER index (similar to ACE score) to predict risk
Summary
• Causal etiology for sex disparity in MDD remains unknown
• But, have potential neurobiological signature underpinning for
this difference
• Centered at key point in the developmental timeline
• Boys appear to be upregulating ER regions when faced with an socially-
situated, emotionally-vexing stimulus in comparison to girls
Ø Potentially enables boys to better process/cope with negative emotions
and develop healthy ER strategies, enhancing resiliency to MDD
• But perhaps not. Complicated system.
Long-Term Goals
Acknowledgements
Laureate Institute for Brain Research
• Amanda Morris, Ph.D.
• Kara Kerr, Ph.D.
• Kelly Cosgrove
• Erin Ratliff
• Danielle Deville
• Kai Ping Burrows, Ph.D.
• Kyle Simmons, Ph.D.
• Jerzy Bodurka, Ph.D.
Washington University in St. Louis
• Deanna Barch, Ph.D.
• Austin Andrews, Ph.D.
• Department of Philosophy-
Neuroscience-Psychology
Funding
• National Institutes of Health
Centers for Biomedical Research Excellence
(COBRE): P20GM121312

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Thesis defense

  • 1. Sex Differences in the Relationship Between Adolescent Brain Activity and Depressive Symptoms Chase Antonacci Philosophy-Neuroscience-Psychology
  • 2. (1) Ferrari, Alize J., et al. “Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010.” PLoS Medicine, vol. 10, no. 11, 2013, doi:10.1371/journal.pmed.1001547. (1) • 3rd leading cause of disease burden Ø 66 million DALYs Ø Prevalence Ø Suicide • Adolescence • Genes + Environment à Depression • Risk & Resiliency Major Depressive Disorder
  • 3. (2) • 3rd leading cause of disease burden Ø 66 million DALYs Ø Prevalence Ø Suicide • Adolescence • Genes + Environment à Depression • Risk & Resiliency (2) Noorden, M. S., Minkenberg, S. E., Giltay, E. J., Hollander-Gijsman, M. E., Rood, Y. R., Wee, N. J., & Zitman, F. G. (2010). Pre-adult versus adult onset major depressive disorder in a naturalistic patient sample: The Leiden Routine Outcome Monitoring Study. Psychological Medicine, 41(07), 1407-1417. doi:10.1017/s0033291710002199 Major Depressive Disorder
  • 4. Biology EnvironmentMDD • 3rd leading cause of disease burden Ø 66 million DALYs Ø Prevalence Ø Suicide • Adolescence • Genes + Environment à Depression • Risk & Resiliency Major Depressive Disorder
  • 5. Sex Differences in MDD • Factors impacting risk: Ø Age Ø Marital Status Ø SES Ø Sex • 2x globally • Adolescence Ø Why? Can we predict? (3) Hankin BL, Abramson LY, Moffitt TE, McGee R, Silva PA, Angell KE. Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. J Abnorm Psychol. 1998;107:128-140. (3)
  • 6. Sex Differences in MDD • Functional Differences – Adults • Emotional Responsivity • Emotion Regulation – Cog Reappraisal Ø Men more efficient? Ø Women upregulate positive? (4) (4) McRae, K., Ochsner, K. N., Mauss, I. B., Gabrieli, J. J. D., & Gross, J. J. (2008). Gender Differences in Emotion Regulation: An fMRI Study of Cognitive Reappraisal. Group Processes & Intergroup Relations : GPIR, 11(2), 143–162. https://doi.org/10.1177/1368430207088035
  • 7. Emotion Regulation • ER = Conscious & unconscious cognitive and behavioral processes by which emotions are modulated and controlled • ER Schema • Adaptive: ex. Cognitive Reappraisal Ø Adaptive Behavioral Response • Maladaptive: ex. Suppression Ø Risk for depressive symptomatology
  • 8. Emotion Regulation • ER key for interpersonal relationships5 Ø Prosocial tendencies Ø Interpersonal sensitivity • Better psychosocial outcomes6 Ø Life satisfaction Ø Social support perception Ø Positive affect • Social Development – tripartite model7 Ø Parenting styles à differential activation (5) Lopes, P. N., Salovey, P., Côté, S., & Beers, M. (2005). Emotion Regulation Abilities and the Quality of Social Interaction. Emotion, 5(1), 113–118. https://doi.org/10.1037/1528- 3542.5.1.113 (6) Verzeletti, C., Zammuner, V. L., Galli, C., & Agnoli, S. (2016). Emotion regulation strategies and psychosocial well-being in adolescence. Cogent Psychology, 3(1). (7) Morris, A. S., Criss, M. M., Silk, J. S., & Houltberg, B. J. (2017). The Impact of Parenting on Emotion Regulation During Childhood and Adolescence. Child Development Perspectives, 11(4), 233–238. https://doi.org/10.1111/cdep.12238
  • 9. ER & Depression • Depression = Disorder of Impaired Emotion Regulation Ø Difficulty in ER = “core vulnerability” in adolescents Ø Inhibit processing of negative thought & feelings • ER in adjustment problems & depression development • Joorman & Gotlib8: MDD à Lack of inhibitory control for negative emotions à rumination & decreased reappraisal Ø Maladaptive strategies ~ increased depressive symptoms (8) Joormann, J., & Gotlib, I. H. (2010). Emotion Regulation in Depression: Relation to Cognitive Inhibition. Cognition & Emotion, 24(2), 281 298. https://doi.org/10.1080/02699930903407948
  • 10. Localizing ER • ER processes recruit cog control regions to modulate semantic representations • Lateral PFC, amygdala, IFG, insula, temporal/parietal cortices, ACC, PCC Ø Processing vs. metabolic demand? • Network! Ø Different strategies à different connectivity pathways o Mindfulness: regulate amygdala via mPFC o Suppression: regulate amygdala via dlPFC Brain Regions Implicated in Emotion Regulation Explicit ER Implicit ER (9) Brain picture: Goldin, P. R., Mcrae, K., Ramel, W., & Gross, J. J. (2008). The Neural Bases of Emotion Regulation: Reappraisal and Suppression of Negative Emotion. Biological Psychiatry, 63(6), 577-586. doi:10.1016/j.biopsych.2007.05.031 (9)
  • 11. ER Network • MDD = network-wide dysfunction Ø Orbitofrontal cortex + medial PFC • Gotlib & Joormann10: Emotional Faces (10) Gotlib, I. H., & Joormann, J. (2010). Cognition and depression: Current status and future directions. Annual Review of Clinical Psychology, 6, 285–312. (11) Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., & Habel, U. (2014). Neural network of cognitive emotion regulation – an ALE meta- analysis and MACM analysis. NeuroImage, 87, 345-55. (11)
  • 12. Social Theory • Nolen-Hoeksema8: Social factors influence vulnerability • Adolescence: realization of social capital disparity Ø Greater trauma: sexual abuse, poverty, harassment, constrained choices Ø Adulthood: domestic/occupational discrimination • Developmental disturbance à biological disruptions Ø Chronic stress & HPA axis Ø Elevated urinary cortisol & failure to suppress endogenous cortisol Ø Compromised stress response system Ø Neurocircuitry disruption à increased vulnerability • Mechanistically similar to ACEs13? (12) Nolen-Hoeksema, S. (2001a). Gender Differences in Depression. Current Directions in Psychological Science, 10(5), 173–176. (13) Luby, J. L., Barch, D., Whalen, D., Tillman, R., & Belden, A. (2017). Association Between Early Life Adversity and Risk for Poor Emotional and Physical Health in Adolescence: A Putative Mechanistic Neurodevelopmental Pathway. JAMA Pediatrics, 171(12), 1168–1175.
  • 13. Biological Theory • Innate biological differences • Corticotrophin releasing factor & glucocorticoids • Female rats: higher sensitivity to low levels CRF & less adaptation to high • Genetic heritability • Systematic dysregulation (14) (14) Bangasser, D. A. (2013). Sex differences in stress-related receptors: “micro” differences with “macro” implications for mood and anxiety disorders. Biology of Sex Differences, 4(1), 2. https://doi.org/10.1186/2042-6410-4-2
  • 15. Current Study • Objective: examine neurobiological differences between boys and girls underlying the differential in depressive symptomatology • What rather than why • Prediction? • Hypothesis: Ø Girls will exhibit lower activation relative to boys in key ER regions including the amygdala, dlPFC, vmPFC, ACC, PCC, and insula Ø Girls will exhibit higher rates of depressive symptoms (MFQ) and higher difficulty in emotion regulation (DERS)
  • 16. Methods Participants & Procedure • Dyadic Inter-Brain Signaling Project • fMRI hyperscanning • 29 mother-child dyads • Adolescent ages 14-16 (M = 14.8) • Healthy sample (MINI 7.0) • Visit 1: Screening & Assessment • Visit 2: Scan TEAM Task fMRI Hyperscanning
  • 17. Methods Procedure • MFQ: Mood & Feelings Questionnaire Ø 33 questions, scored from 0-66 Ø Assess for depressive symptoms Ø 0 – 2 Likert scale: “not true,” “somewhat true,” or “true” • DERS: Difficulties in Emotion Regulation Scale Ø 36 questions, scored from 36-180 Ø Six facets of ER Ø 1-5 Likert scale: “almost never”…”almost always”
  • 18. Methods TEAM Task Testing Emotional Attachment & Mutuality (TEAM) Task Adolescents Activation Profile
  • 19. Methods Analyses • Behavioral: group differences in behavioral measures • Neuroimaging: Ø Pre-processing: Slice-time correction, motion correction, spatial normalization to Talairach & Tournoux (1988), early TR exclusion, smoothing with 6mm FWHM Gaussian kernel Ø Modeling: ‘costly error’ – ‘both correct’; nuisance regressors Ø Group Analysis: task effects, MFQ, DERS Ø Masking: 70% whole brain average, ROI masks to a priori selected regions Ø Multiple comparisons: voxelwise p<0.005, a cluster-size threshold of p<0.05
  • 20. Methods Terminology • “Sex” versus “gender” • Surveyed “sex” of participants • Biology-based vs. socially-determined influences terminology • Consistent with literature • “Sex” as neutral interpretation Ø Don’t defend implications
  • 21. Results Behavioral Data Table 1: Descriptive and inferential statistics for DERS & MFQ Self-Report Measures. No group-level differences appeared on self-report scores between boys and girls. The two measures that did exhibit group-level differences (APQ-Mom Involvement and SCARED-Social Anxiety Disorder) were not included in this table given that they were not measures of interest in the present study. Self-Report Measures
  • 22. Results Main Effects • Strong task effects • Activation following a parent’s costly error • Large clusters in ER regions • Cluster threshold = 378 • No main effects of MFQ/DERS Task Effects
  • 23. Results MFQ • Boys & girls differed in the relationship between MFQ score & brain activity in both the PCC and dlPFc bilaterally • Boys exhibited greater activation on average in response to a costly error made by a parent
  • 24. Results MFQ – PCC • Opposite activation trends • Boys: higher MFQ scores associated with upregulation of the PCC • Girls: downregulation of the PCC associated with greater MFQ scores • Recruitment efficacy? MFQ: Posterior Cingulate Cortex
  • 25. Results MFQ – dlPFC • Opposite activation trends • Boys: higher MFQ scores associated with upregulation of the dlPFC • Girls: downregulation of the dlPFC associated with greater MFQ scores • Recruitment efficacy? MFQ: Dorsolateral Prefrontal Cortex
  • 26. Results DERS • Boys & girls differed in the relationship between DERS score & brain activity in both the right PCC • Opposite activation trends – analogous to MFQ DERS: Right Posterior Cingulate
  • 27. Implications • Observed difference between brain activity & both depressive symptoms and emotion regulation skill between adolescent boys & girls – opposite trends in activation • Potential neurobiological mechanism underlying risk differential • May experience similar levels of depressive symptoms à progression of MDD more prevalent due to differences in ER networks • Alternative interpretations? • Adolescence key for cementing ER strategy à risk across lifespan (10) Yap, B. H., Allen, N. B., & Ladouceur, C. D. (2008). Maternal Socialization of Positive Affect: The Impact of Invalidation on Adolescent Emotion Regulation and Depressive Symptomatology - Yap - 2008 - Child Development - Wiley Online Library. Child Development, 79 (5), 1415–1341. (11) Golkar, A., Lonsdorf, T. B., Olsson, A., Lindstrom, K. M., Berrebi, J., Fransson, P., … Öhman, A. (2012). Distinct contributions of the dorsolateral prefrontal and orbitofrontal cortex during emotion regulation. PloS One, 7(11), e48107. https://doi.org/10.1371/journal.pone.0048107
  • 28. Strengths & Weaknesses Strengths: • One of the first to examine functional differences in adolescent populations relating to sex differences in depression • Social engagement task; not conscious cognitive manipulation of ER Weaknesses: • Longitudinal data • Small sample size & restricted range
  • 29. Future Directions • Longitudinal investigation – are these results predictive of MDD onset? • Can patterns in pre-depressive brain activity be used to identify those at risk and enable earlier/more effective intervention? • Directional investigation – is up/downregulation a ‘product’ or ‘driver’ of depressive symptomatology • ER development – how does parent/peer social environment shape ER networks & interact with depression? • Can models approximate an ER index (similar to ACE score) to predict risk
  • 30. Summary • Causal etiology for sex disparity in MDD remains unknown • But, have potential neurobiological signature underpinning for this difference • Centered at key point in the developmental timeline • Boys appear to be upregulating ER regions when faced with an socially- situated, emotionally-vexing stimulus in comparison to girls Ø Potentially enables boys to better process/cope with negative emotions and develop healthy ER strategies, enhancing resiliency to MDD • But perhaps not. Complicated system.
  • 32. Acknowledgements Laureate Institute for Brain Research • Amanda Morris, Ph.D. • Kara Kerr, Ph.D. • Kelly Cosgrove • Erin Ratliff • Danielle Deville • Kai Ping Burrows, Ph.D. • Kyle Simmons, Ph.D. • Jerzy Bodurka, Ph.D. Washington University in St. Louis • Deanna Barch, Ph.D. • Austin Andrews, Ph.D. • Department of Philosophy- Neuroscience-Psychology Funding • National Institutes of Health Centers for Biomedical Research Excellence (COBRE): P20GM121312