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Palatine E, Phillips ML, Soehner AM. The effect of slow wave sleep deprivation on mood in adolescents with depressive symptoms: A pilot study. J Affect Disord 2024; 354:347-355. [PMID: 38479512 DOI: 10.1016/j.jad.2024.03.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/13/2024] [Accepted: 03/09/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND There is an urgent need for safe, rapid-acting treatment strategies for adolescent depression. In depressed adults, slow wave sleep deprivation (SWSD) improved next-day mood without disrupting sleep duration, but SWSD has not been tested in adolescents. In a pilot study, the aim was to assess the effect of SWSD on sleep physiology and mood outcomes (depression, rumination, anhedonia) among adolescents with depressive symptoms. METHODS Sixteen adolescents (17.44 ± 1.46 yr, 12 female) completed three nights of polysomnographic sleep recording: Baseline, SWSD, and Recovery nights. Acoustic stimulation (tones of random pitch, duration, and volume) suppressed slow wave sleep (SWS) in real-time during SWSD. After each night, depression, rumination, and anhedonia severity were assessed. RESULTS SWSD successfully suppressed SWS, increased N2, and had minimal impact on Rapid Eye Movement (REM), nocturnal awakenings, and total sleep time. While SWSD did not improve depression or anhedonia severity overall, lower baseline non-REM alpha activity and greater SWS rebound during recovery sleep correlated with SWSD-related reduction in clinician-rated depression severity. Next-day rumination severity decreased after SWSD, with sustained improvements following recovery sleep. However, rumination improvement was not associated with SWS suppression, but rather reduction in total sleep time and REM in exploratory correlation models. LIMITATIONS Small sample size and large proportion of females. CONCLUSION SWSD did not improve depression in adolescents overall but a subset with low non-REM alpha activity and intact homeostatic sleep regulation may benefit from this approach. Findings from this pilot study also suggest that partial sleep deprivation may be a beneficial therapeutic strategy for rumination in adolescents.
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Affiliation(s)
- Elise Palatine
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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Hafeman DM, Merranko J, Goldstein BI, Zwicker A, Uher R, Phillips ML, Birmaher B. Association between polygenic risk score and neural markers of risk for bipolar disorder. J Affect Disord 2024; 354:318-320. [PMID: 38479504 DOI: 10.1016/j.jad.2024.03.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/21/2024] [Accepted: 03/09/2024] [Indexed: 03/22/2024]
Affiliation(s)
- Danella M Hafeman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America; Western Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America.
| | - John Merranko
- Western Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America
| | - Benjamin I Goldstein
- Center for Addiction and Mental Health, University of Toronto Faculty of Medicine, Ontario, Canada
| | - Alyson Zwicker
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada; Dalhousie Medicine New Brunswick, Dalhousie University, Saint John, NB, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America; Western Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America
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Rozovsky R, Bertocci M, Iyengar S, Stiffler RS, Bebko G, Skeba AS, Brady T, Aslam H, Phillips ML. Identifying tripartite relationship among cortical thickness, neuroticism, and mood and anxiety disorders. Sci Rep 2024; 14:8449. [PMID: 38600283 PMCID: PMC11006921 DOI: 10.1038/s41598-024-59108-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/08/2024] [Indexed: 04/12/2024] Open
Abstract
The number of young adults seeking help for emotional distress, subsyndromal-syndromal mood/anxiety symptoms, including those associated with neuroticism, is rising and can be an early manifestation of mood/anxiety disorders. Identification of gray matter (GM) thickness alterations and their relationship with neuroticism and mood/anxiety symptoms can aid in earlier diagnosis and prevention of risk for future mood and anxiety disorders. In a transdiagnostic sample of young adults (n = 252;177 females; age 21.7 ± 2), Hypothesis (H) 1:regularized regression followed by multiple regression examined relationships among GM cortical thickness and clinician-rated depression, anxiety, and mania/hypomania; H2:the neuroticism factor and its subfactors as measured by NEO Personality Inventory (NEO-PI-R) were tested as mediators. Analyses revealed positive relationships between left parsopercularis thickness and depression (B = 4.87, p = 0.002), anxiety (B = 4.68, p = 0.002), mania/hypomania (B = 6.08, p ≤ 0.001); negative relationships between left inferior temporal gyrus (ITG) thickness and depression (B = - 5.64, p ≤ 0.001), anxiety (B = - 6.77, p ≤ 0.001), mania/hypomania (B = - 6.47, p ≤ 0.001); and positive relationships between left isthmus cingulate thickness (B = 2.84, p = 0.011), and anxiety. NEO anger/hostility mediated the relationship between left ITG thickness and mania/hypomania; NEO vulnerability mediated the relationship between left ITG thickness and depression. Examining the interrelationships among cortical thickness, neuroticism and mood and anxiety symptoms enriches the potential for identifying markers conferring risk for mood and anxiety disorders and can provide targets for personalized intervention strategies for these disorders.
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Affiliation(s)
- Renata Rozovsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA.
| | - Michele Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Richelle S Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
| | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
| | - Alexander S Skeba
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
| | - Tyler Brady
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
| | - Haris Aslam
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, 302 Loeffler Building, 121 Meyran Ave., Pittsburgh, PA, USA
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Zhang Y, Banihashemi L, Versace A, Samolyk A, Taylor M, English G, Schmithorst VJ, Lee VK, Stiffler R, Aslam H, Panigrahy A, Hipwell AE, Phillips ML. Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality. Biol Psychiatry 2024:S0006-3223(24)01220-4. [PMID: 38604525 DOI: 10.1016/j.biopsych.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/05/2024] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND High levels of infant negative emotionality (NE) and low positive emotionality (PE) predict future emotional and behavioral problems. The prefrontal cortex (PFC) supports emotional regulation, with each PFC subregion specializing in specific emotional processes. Neurite Orientation Dispersion and Density Imaging (NODDI) estimates microstructural integrity and myelination via the neurite density index (NDI) and dispersion via the orientation dispersion index (ODI), with potential to more accurately evaluate microstructural alterations in the developing brain. Yet, no study has used these indices to examine associations between PFC microstructure and concurrent or developing infant emotionality. METHODS We modeled PFC subregional NDI and ODI at 3 months with caregiver-reported infant NE and PE at 3 months (n=61) and at 9 months (n=50), using multivariable and subsequent bivariate regression models. RESULTS The most robust statistically-significant findings were positive associations among 3-month rACC ODI and cACC NDI and concurrent NE, and 3-month lOFC ODI and prospective NE; and a negative association between 3-month dlPFC ODI and concurrent PE. Multivariate models also revealed that other PFC subregional microstructure measures, and infant and caregiver sociodemographic and clinical factors, predicted infant 3- and 9-month NE and PE. CONCLUSIONS Greater NDI and ODI, reflecting greater microstructural complexity, in PFC regions supporting salience perception (rACC), decision-making (lOFC), action selection (cACC), and attentional processes (dlPFC) might result in greater integration of these subregions with other neural networks, greater attention to salient negative external cues, thus higher NE and/or lower PE. These findings provide potential infant cortical markers of future psychopathology risk.
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Affiliation(s)
- Yicheng Zhang
- University of Pittsburgh Swanson School of Engineering, Department of Bioengineering, Pittsburgh, PA.
| | - Layla Banihashemi
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Amelia Versace
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Alyssa Samolyk
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Megan Taylor
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Gabrielle English
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Vanessa J Schmithorst
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Vincent K Lee
- University of Pittsburgh Swanson School of Engineering, Department of Bioengineering, Pittsburgh, PA; UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Richelle Stiffler
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Haris Aslam
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Ashok Panigrahy
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Mary L Phillips
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
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Lima Santos JP, Kontos AP, Holland CL, Suss SJ, Stiffler RS, Bitzer HB, Colorito AT, Shaffer M, Skeba A, Iyengar S, Manelis A, Brent D, Shirtcliff EA, Ladouceur CD, Phillips ML, Collins MW, Versace A. The Role of Puberty and Sex on Brain Structure in Adolescents With Anxiety Following Concussion. Biol Psychiatry Cogn Neurosci Neuroimaging 2024; 9:285-297. [PMID: 36517369 DOI: 10.1016/j.bpsc.2022.09.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Adolescence represents a window of vulnerability for developing psychological symptoms following concussion, especially in girls. Concussion-related lesions in emotion regulation circuits may help explain these symptoms. However, the contribution of sex and pubertal maturation remains unclear. Using the neurite density index (NDI) in emotion regulation tracts (left/right cingulum bundle [CB], forceps minor [FMIN], and left/right uncinate fasciculus), we sought to elucidate these relationships. METHODS No adolescent had a history of anxiety and/or depression. The Screen for Child Anxiety Related Emotional Disorders and Children's Depression Rating Scale were used at scan to assess anxiety and depressive symptoms in 55 concussed adolescents (41.8% girls) and 50 control adolescents with no current/history of concussion (44% girls). We evaluated if a mediation-moderation model including the NDI (mediation) and sex or pubertal status (moderation) could help explain this relationship. RESULTS Relative to control adolescents, concussed adolescents showed higher anxiety (p = .003) and lower NDI, with those at more advanced pubertal maturation showing greater abnormalities in 4 clusters: the left CB frontal (p = .002), right CB frontal (p = .011), FMIN left-sided (p = .003), and FMIN right-sided (p = .003). Across all concussed adolescents, lower NDI in the left CB frontal and FMIN left-sided clusters partially mediated the association between concussion and anxiety, with the CB being specific to female adolescents. These effects did not explain depressive symptoms. CONCLUSIONS Our findings indicate that lower NDI in the CB and FMIN may help explain anxiety following concussion and that adolescents at more advanced (vs less advanced) status of pubertal maturation may be more vulnerable to concussion-related injuries, especially in girls.
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Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anthony P Kontos
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Cynthia L Holland
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Stephen J Suss
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Richelle S Stiffler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Hannah B Bitzer
- Department of Psychology, Florida International University, Miami, Florida
| | - Adam T Colorito
- Department of Psychology, Florida International University, Miami, Florida
| | - Madelyn Shaffer
- Department of Psychology, Florida International University, Miami, Florida
| | - Alexander Skeba
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anna Manelis
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - David Brent
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Psychiatry, UPMC Western Psychiatric Hospital, Pittsburgh, Pennsylvania
| | - Elizabeth A Shirtcliff
- Center for Translational Neuroscience and Department of Psychology, University of Oregon, Eugene, Oregon
| | - Cecile D Ladouceur
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael W Collins
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Radiology, Magnetic Resonance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.
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Phillips ML. Multimodal Predictors of Treatment Response in Major Depressive Disorder: Advancing Personalized Medicine in Psychiatry. Am J Psychiatry 2024; 181:180-182. [PMID: 38425254 DOI: 10.1176/appi.ajp.20231025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Affiliation(s)
- Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh
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7
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Mayeli A, Wang Y, Graur S, Ghane M, Keihani A, Kim A, Janssen S, Huston C, Coffman BA, Ferrarelli F, Phillips ML. Effects of theta burst stimulation on reward processing and decision-making in bipolar disorder: A pilot study. Brain Stimul 2024; 17:163-165. [PMID: 38336341 DOI: 10.1016/j.brs.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024] Open
Affiliation(s)
- Ahmad Mayeli
- University of Pittsburgh, Department of Psychiatry, USA.
| | - Yiming Wang
- University of Pittsburgh, Department of Psychiatry, USA
| | - Simona Graur
- University of Pittsburgh, Department of Psychiatry, USA
| | - Merage Ghane
- University of Pittsburgh, Department of Psychiatry, USA
| | | | - Allison Kim
- University of Pittsburgh, Department of Psychiatry, USA
| | | | - Chloe Huston
- University of Pittsburgh, Department of Psychiatry, USA
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Gupta T, Karim HT, Jones NP, Ferrarelli F, Nance M, Taylor SF, Rogers D, Pogue AM, Seah THS, Phillips ML, Ryan ND, Forbes EE. Continuous theta burst stimulation to dorsomedial prefrontal cortex in young adults with depression: Changes in resting frontostriatal functional connectivity relevant to positive mood. Behav Res Ther 2024; 174:104493. [PMID: 38350221 PMCID: PMC10956571 DOI: 10.1016/j.brat.2024.104493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/29/2023] [Accepted: 02/06/2024] [Indexed: 02/15/2024]
Abstract
Depression is associated with diminished positive affect (PA), postulated to reflect frontostriatal reward circuitry disruptions. Depression has consistently been associated with higher dorsomedial prefrontal cortex (dmPFC) activation, a region that regulates PA through ventral striatum (VS) connections. Low PA in depression may reflect dmPFC's aberrant functional connectivity (FC) with the VS. To test this, we applied theta burst stimulation (TBS) to dmPFC in 29 adults with depression (79% female, Mage = 21.4, SD = 2.04). Using a randomized, counterbalanced design, we administered 3 types of TBS at different sessions: intermittent (iTBS; potentiating), continuous (cTBS; depotentiating), and sham TBS (control). We used neuronavigation to target personalized dmPFC targets based on VS-dmPFC FC. PA and negative affect (NA), and resting-state fMRI were collected pre- and post-TBS. We found no changes in PA or NA with time (pre/post), condition (iTBS, cTBS, sham), or their interaction. Functional connectivity (FC) between the nucleus accumbens and dmPFC showed a significant condition (cTBS, iTBS, and sham) by time (pre-vs. post-TBS) interaction, and post-hoc testing showed decreased pre-to post-TBS for cTBS but not iTBS or sham. For cTBS only, reduced FC pre/post stimulation was associated with increased PA (but not NA). Our findings lend support to the proposed mechanistic model of aberrant FC between the dmPFC and VS in depression and suggest a way forward for treating depression in young adults. Future studies need to evaluate multi-session TBS to test clinical effects.
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Affiliation(s)
- Tina Gupta
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Helmet T Karim
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA; University of Pittsburgh, Department of Bioengineering, Pittsburgh, PA, USA
| | - Neil P Jones
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Fabio Ferrarelli
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Melissa Nance
- University of Missouri, St. Louis, St. Louis, MO, USA
| | - Stephan F Taylor
- University of Michigan, Department of Psychiatry, Pittsburgh, PA, USA
| | - David Rogers
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Ashley M Pogue
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - T H Stanley Seah
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Mary L Phillips
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Neal D Ryan
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Erika E Forbes
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA.
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Edmiston EK, Chase HW, Jones N, Nhan TJ, Phillips ML, Fournier JC. Differential role of fusiform gyrus coupling in depressive and anxiety symptoms during emotion perception. Soc Cogn Affect Neurosci 2024; 19:nsae009. [PMID: 38334745 PMCID: PMC10908550 DOI: 10.1093/scan/nsae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 12/06/2023] [Accepted: 02/01/2024] [Indexed: 02/10/2024] Open
Abstract
Anxiety and depression co-occur; the neural substrates of shared and unique components of these symptoms are not understood. Given emotional alterations in internalizing disorders, we hypothesized that function of regions associated with emotion processing/regulation, including the anterior cingulate cortex (ACC), amygdala and fusiform gyrus (FG), would differentiate these symptoms. Forty-three adults with depression completed an emotional functional magnetic resonance imaging task and the Hamilton Depression and Anxiety Scales. We transformed these scales to examine two orthogonal components, one representing internalizing symptom severity and the other the type of internalizing symptoms (anxiety vs depression). We extracted blood oxygen level dependent signal from FG subregions, ACC, and amygdala and performed generalized psychophysiological interaction analyses to assess relationships between symptoms and brain function. Type of internalizing symptoms was associated with FG3-FG1 coupling (F = 8.14, P = 0.007). More coupling was associated with a higher concentration of depression, demonstrating that intra-fusiform coupling is differentially associated with internalizing symptom type (anxiety vs depression). We found an interaction between task condition and internalizing symptoms and dorsal (F = 4.51, P = 0.014) and rostral ACC activity (F = 4.27, P = 0.012). Post hoc comparisons revealed that less activity was associated with greater symptom severity during emotional regulation. Functional coupling differences during emotional processing are associated with depressive relative to anxiety symptoms and internalizing symptom severity. These findings could inform future treatments for depression.
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Affiliation(s)
- Elliot Kale Edmiston
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, United States
| | - Neil Jones
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, United States
| | - Tiffany J Nhan
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, United States
| | - Jay C Fournier
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH 43210, United States
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Bertocci MA, Rozovsky R, Wolfe M, Abdul-Waalee H, Chobany M, Malgireddy G, Hart JA, Skeba A, Brady T, Lepore B, Versace A, Chase HW, Birmaher B, Phillips ML, Diler RS. Neural markers of mania that distinguish inpatient adolescents with bipolar disorder from those with other psychopathology. Psychiatry Res 2024; 333:115747. [PMID: 38301286 PMCID: PMC10922873 DOI: 10.1016/j.psychres.2024.115747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/14/2024] [Accepted: 01/19/2024] [Indexed: 02/03/2024]
Abstract
Pediatric bipolar disorder (BD) is difficult to distinguish from other psychiatric disorders, a challenge which can result in delayed or incorrect interventions. Using neuroimaging we aimed to identify neural measures differentiating a rarified sample of inpatient adolescents with BD from other inpatient psychopathology (OP) and healthy adolescents (HC) during a reward task. We hypothesized reduced subcortical and elevated cortical activation in BD relative to other groups, and that these markers will be related to self-reported mania scores. We examined inpatient adolescents with diagnosis of BD-I/II (n = 29), OP (n = 43), and HC (n = 20) from the Inpatient Child and Adolescent Bipolar Spectrum Imaging study. Inpatient adolescents with BD showed reduced activity in right thalamus, left thalamus, and left amygdala, relative to inpatient adolescents with OP and HC. This reduced neural function explained 21% of the variance in past month and 23% of the variance in lifetime mania scores. Lower activity in regions associated with the reward network, during reward processing, differentiates BD from OP in inpatient adolescents and explains >20% of the variance in mania scores. These findings highlight potential targets to aid earlier identification of, and guide new treatment developments for, pediatric BD.
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Affiliation(s)
- Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA.
| | - Renata Rozovsky
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Maria Wolfe
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | | | - Mariah Chobany
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | | | - Jonathan A Hart
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Alex Skeba
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Tyler Brady
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Brianna Lepore
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA; University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Rasim S Diler
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA; University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
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Gifuni AJ, Pereira F, Chakravarty MM, Lepage M, Chase HW, Geoffroy MC, Lacourse E, Phillips ML, Turecki G, Renaud J, Jollant F. Perception of social inclusion/exclusion and response inhibition in adolescents with past suicide attempt: a multidomain task-based fMRI study. Mol Psychiatry 2024:10.1038/s41380-024-02485-w. [PMID: 38424142 DOI: 10.1038/s41380-024-02485-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/07/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
The occurrence of suicidal behaviors increases during adolescence. Hypersensitivity to negative social signals and deficits in cognitive control are putative mechanisms of suicidal behaviors, which necessitate confirmation in youths. Multidomain functional neuroimaging could enhance the identification of patients at suicidal risk beyond standard clinical measures. Three groups of adolescents (N = 96; 78% females, age = 11.6-18.1) were included: patients with depressive disorders and previous suicide attempts (SA, n = 29); patient controls with depressive disorders but without any suicide attempt history (PC, n = 35); and healthy controls (HC, n = 32). We scanned participants with 3T-MRI during social inclusion/exclusion (Cyberball Game) and response inhibition (Go-NoGo) tasks. Neural activation was indexed by the blood-oxygenation-level dependent (BOLD) of the hemodynamic response during three conditions in the Cyberball Game ("Control condition", "Social Inclusion", and "Social Exclusion"), and two conditions in Go-NoGo task ("Go" and "NoGo" blocks). ANCOVA-style analysis identified group effects across three whole-brain contrasts: 1) NoGo vs. Go, 2) Social inclusion vs. control condition, 3) Social exclusion vs. control condition. We found that SA had lower activation in the left insula during social inclusion vs. control condition compared to PC and HC. Moreover, SA compared to PC had higher activity in the right middle prefrontal gyrus during social exclusion vs. control condition, and in bilateral precentral gyri during NoGo vs. Go conditions. Task-related behavioral and self-report measures (Self-reported emotional reactivity in the Cyberball Game, response times and number of errors in the Go-NoGo Task) did not discriminate groups. In conclusion, adolescent suicidal behaviors are likely associated with neural alterations related to the processing of social perception and response inhibition. Further research, involving prospective designs and diverse cohorts of patients, is necessary to explore the potential of neuroimaging as a tool in understanding the emergence and progression of suicidal behaviors.
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Affiliation(s)
- Anthony J Gifuni
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
- Manulife Centre for Breakthroughs in Teen Depression and Suicide Prevention, Montréal, Canada
| | - Fabricio Pereira
- MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, France
- Service de psychiatrie, CHU Nîmes, Nîmes, France
- MIPA, University of Nîmes, Nîmes, France
| | | | - Martin Lepage
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Henri W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Marie-Claude Geoffroy
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Canada
| | - Eric Lacourse
- Department of Sociology, Université de Montréal, Montréal, Canada
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Johanne Renaud
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
- Manulife Centre for Breakthroughs in Teen Depression and Suicide Prevention, Montréal, Canada
| | - Fabrice Jollant
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada.
- Department of Psychiatry, McGill University, Montréal, Canada.
- MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, France.
- Service de psychiatrie, CHU Nîmes, Nîmes, France.
- Université Paris-Saclay, Faculté de médecine, Le Kremlin-Bicêtre, France.
- Service de psychiatrie, Hôpital Bicêtre, APHP, Le Kremlin-Bicêtre, France.
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Gupta T, Eckstrand KL, Lenniger CJ, Haas GL, Silk JS, Ryan ND, Phillips ML, Flores LE, Pizzagalli DA, Forbes EE. Anhedonia in adolescents at transdiagnostic familial risk for severe mental illness: Clustering by symptoms and mechanisms of association with behavior. J Affect Disord 2024; 347:249-261. [PMID: 37995926 PMCID: PMC10843785 DOI: 10.1016/j.jad.2023.11.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 11/07/2023] [Accepted: 11/17/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Anhedonia is a transdiagnostic symptom of severe mental illness (SMI) and emerges during adolescence. Possible subphenotypes and neural mechanisms of anhedonia in adolescents at risk for SMI are understudied. METHODS Adolescents at familial risk for SMI (N = 81) completed anhedonia (e.g., consummatory, anticipatory, social), demographic, and clinical measures and one year prior, a subsample (N = 46) completed fMRI scanning during a monetary reward task. Profiles were identified using k-means clustering of anhedonia type and differences in demographics, suicidal ideation, impulsivity, and emotional processes were examined. Moderation analyses were conducted to investigate whether levels of brain activation of reward regions moderated the relationships between anhedonia type and behaviors. RESULTS Two-clusters emerged: a high anhedonia profile (high-anhedonia), characterized by high levels of all types of anhedonia, (N = 32) and a low anhedonia profile (low-anhedonia), characterized by low levels of anhedonia types (N = 49). Adolescents in the high-anhedonia profile reported more suicidal ideation and negative affect, and less positive affect and desire for emotional closeness than low-anhedonia profile. Furthermore, more suicidal ideation, less positive affect, and less desire for emotional closeness differentiated the familial high-risk, high-anhedonia profile adolescents from the familial high-risk, low-anhedonia profile adolescents. Across anhedonia profiles, moderation analyses revealed that adolescents with high dmPFC neural activation in response to reward had positive relationships between social, anticipatory, and consummatory anhedonia and suicidal ideation. LIMITATIONS Small subsample with fMRI data. CONCLUSION Profiles of anhedonia emerge transdiagnostically and vary on clinical features. Anhedonia severity and activation in frontostriatal reward areas have value for clinically important outcomes such as suicidal ideation.
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Affiliation(s)
- T Gupta
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA.
| | - K L Eckstrand
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - C J Lenniger
- University of Pittsburgh, Department of Psychology, Pittsburgh, PA, USA
| | - G L Haas
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA; University of Pittsburgh, Department of Psychology, Pittsburgh, PA, USA; VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - J S Silk
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA; University of Pittsburgh, Department of Psychology, Pittsburgh, PA, USA
| | - N D Ryan
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - M L Phillips
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - L E Flores
- Queens University, Department of Psychology, Kingston, Ontario, CA, USA
| | - D A Pizzagalli
- Harvard Medical School and McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - E E Forbes
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA; University of Pittsburgh, Department of Psychology, Pittsburgh, PA, USA; University of Pittsburgh, Department of Pediatrics, Pittsburgh, PA, USA; University of Pittsburgh, Department of Clinical and Translational Science, Pittsburgh, PA, USA
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Ghane M, Trambaiolli L, Bertocci MA, Martinez-Rivera FJ, Chase HW, Brady T, Skeba A, Graur S, Bonar L, Iyengar S, Quirk GJ, Rasmussen SA, Haber SN, Phillips ML. Specific patterns of endogenous functional connectivity are associated with harm avoidance in OCD. Biol Psychiatry 2024:S0006-3223(24)00078-7. [PMID: 38336216 DOI: 10.1016/j.biopsych.2023.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/11/2023] [Accepted: 12/06/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Individuals with OCD show persistent-avoidance behaviors, often in the absence of actual threat. Quality-of-life costs and heterogeneity support the need for novel brain-behavior intervention targets. Informed by mechanistic and anatomic studies of persistent-avoidance in rodents and non-human primates, our goal was to test whether connections within a hypothesized persistent-avoidance related network predicted OCD-related harm-avoidance (HA), a trait measure of persistent-avoidance. We hypothesized that 1)HA, not OCD diagnosis, would be associated with altered endogenous connectivity in at least one connection in the network; 2)HA-specific findings would be robust to comorbid symptoms; and 3)reliable findings would replicate in an holdout testing subsample. METHODS Using resting-state fcMRI, cross-validated elastic-net for feature selection and Poisson generalized linear models, we tested which connections significantly predicted HA in our training subsample(n=73;71.8% Female;nHC=36,nOCD=37); robustness to comorbidities; and replicability in a testing subsample(n=30;56.7% Female;nHC=15,nOCD=15). RESULTS Stronger inverse connectivity between right dorsal anterior cingulate and right basolateral-amygdala (R_dACC-R_BLA) and stronger positive connectivity between right ventral anterior insula and left ventral-striatum (R_vaIns-L_VS) were associated with greater HA across groups. Network connections did not discriminate OCD diagnosis or predict HA-correlated traits, suggesting sensitivity to trait HA. The dACC-BLA relationship was robust to controlling for comorbidities and medication in individuals with OCD and was also predictive of HA in our testing subsample. CONCLUSION Stronger inverse dACC-BLA connectivity was robustly and reliably associated with HA across groups and in OCD. Results support the relevance of a cross-species persistent-avoidance-related network to OCD, with implications for precision-based approaches and treatment.
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Affiliation(s)
- Merage Ghane
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
| | - Lucas Trambaiolli
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Freddyson J Martinez-Rivera
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine Mount Sinai, New York, NY (FJM currently at Department of Neuroscience, University of Florida, Gainesville, FL)
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Tyler Brady
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Alex Skeba
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Simona Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA, NY
| | | | - Steven A Rasmussen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI
| | - Suzanne N Haber
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA; School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
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Schumer MC, Bertocci MA, Aslam HA, Graur S, Bebko G, Stiffler RS, Skeba AS, Brady TJ, Benjamin OE, Wang Y, Chase HW, Phillips ML. Patterns of Neural Network Functional Connectivity Associated With Mania/Hypomania and Depression Risk in 3 Independent Young Adult Samples. JAMA Psychiatry 2024; 81:167-177. [PMID: 37910117 PMCID: PMC10620679 DOI: 10.1001/jamapsychiatry.2023.4150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/24/2023] [Indexed: 11/03/2023]
Abstract
Importance Mania/hypomania is the pathognomonic feature of bipolar disorder (BD). Established, reliable neural markers denoting mania/hypomania risk to help with early risk detection and diagnosis and guide the targeting of pathophysiologically informed interventions are lacking. Objective To identify patterns of neural responses associated with lifetime mania/hypomania risk, the specificity of such neural responses to mania/hypomania risk vs depression risk, and the extent of replication of findings in 2 independent test samples. Design, Setting, and Participants This cross-sectional study included 3 independent samples of young adults aged 18 to 30 years without BD or active substance use disorder within the past 3 months who were recruited from the community through advertising. Of 603 approached, 299 were ultimately included and underwent functional magnetic resonance imaging at the University of Pittsburgh, Pittsburgh, Pennsylvania, from July 2014 to May 2023. Main Outcomes and Measures Activity and functional connectivity to approach-related emotions were examined using a region-of-interest mask supporting emotion processing and emotional regulation. The Mood Spectrum Self-Report assessed lifetime mania/hypomania risk and depression risk. In the discovery sample, elastic net regression models identified neural variables associated with mania/hypomania and depression risk; multivariable regression models identified the extent to which selected variables were significantly associated with each risk measure. Multivariable regression models then determined whether associations in the discovery sample replicated in both test samples. Results A total of 299 participants were included. The discovery sample included 114 individuals (mean [SD] age, 21.60 [1.91] years; 80 female and 34 male); test sample 1, 103 individuals (mean [SD] age, 21.57 [2.09] years; 30 male and 73 female); and test sample 2, 82 individuals (mean [SD] age, 23.43 [2.86] years; 48 female, 29 male, and 5 nonbinary). Associations between neuroimaging variables and Mood Spectrum Self-Report measures were consistent across all 3 samples. Bilateral amygdala-left amygdala functional connectivity and bilateral ventrolateral prefrontal cortex-right dorsolateral prefrontal cortex functional connectivity were positively associated with mania/hypomania risk: discovery omnibus χ2 = 1671.7 (P < .001); test sample 1 omnibus χ2 = 1790.6 (P < .001); test sample 2 omnibus χ2 = 632.7 (P < .001). Bilateral amygdala-left amygdala functional connectivity and right caudate activity were positively associated and negatively associated with depression risk, respectively: discovery omnibus χ2 = 2566.2 (P < .001); test sample 1 omnibus χ2 = 2935.9 (P < .001); test sample 2 omnibus χ2 = 1004.5 (P < .001). Conclusions and Relevance In this study of young adults, greater interamygdala functional connectivity was associated with greater risk of both mania/hypomania and depression. By contrast, greater functional connectivity between ventral attention or salience and central executive networks and greater caudate deactivation were reliably associated with greater risk of mania/hypomania and depression, respectively. These replicated findings indicate promising neural markers distinguishing mania/hypomania-specific risk from depression-specific risk and may provide neural targets to guide and monitor interventions for mania/hypomania and depression in at-risk individuals.
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Affiliation(s)
- Maya C. Schumer
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Michele A. Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Haris A. Aslam
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Simona Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Richelle S. Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alexander S. Skeba
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tyler J. Brady
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Osasumwen E. Benjamin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yiming Wang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Henry W. Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Squarcina L, Lucini Paioni S, Bellani M, Rossetti MG, Houenou J, Polosan M, Phillips ML, Wessa M, Brambilla P. White matter integrity in bipolar disorder investigated with diffusion tensor magnetic resonance imaging and fractal geometry. J Affect Disord 2024; 345:200-207. [PMID: 37863367 DOI: 10.1016/j.jad.2023.10.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/14/2023] [Accepted: 10/15/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND Growing evidence suggests the presence of white matter (WM) alterations in bipolar disorder (BD). In this study we aimed to investigate the state of WM structures, in terms of tissue integrity and morphological complexity, in BD patients compared to healthy controls (HC), in an attempt to better elucidate the microstructural changes associated with BD. METHODS We collected a dataset of 399 Diffusion Tensor Magnetic Resonance Imaging (167 BD and 232 healthy controls) images, acquired at five different sites, which was processed with Tract-Based Spatial Statistics (TBSS) and fractal analysis. RESULTS The TBSS analysis demonstrated significantly lower FA values in the BD group. Diffusion abnormalities were primarily located in the temporo-parietal network. The Fractal Dimension (FD) analysis did not reveal consistent significant differences in the morphological complexity of WM structures between the groups. When the FD values of patients were considered individually, it is possible to notice some localized significant deviations from the healthy population. LIMITATIONS DTI sequences have not been harmonized before acquisition, samples' sizes are heterogeneous. CONCLUSIONS This study, by applying both TBSS and FD analyses, allows to evaluate diffusion and structural alterations of WM at the same time. The evaluation of WM integrity from these two different perspectives could be useful to better understand the pathophysiological and morphological changes underpinning bipolar disorder.
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Affiliation(s)
- Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Susanna Lucini Paioni
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Maria Gloria Rossetti
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy; UOC Psichiatria, Azienda Ospedaliera Universitaria Integrata (AOUI), Verona, Italy
| | - Josselin Houenou
- APHP, Mondor Univ Hospitals, DMU IMPACT, INSERM U955, Translational NeuroPsychiatry Team, UPEC, Créteil, France & NeuroSpin, UNIACT Lab, PsyBrain Team, CEA Saclay, Gif-sur-Yvette, France
| | - Mircea Polosan
- Univ. Grenoble-Alpes, Grenoble Institut Neurosciences, Inserm U1216, CHU Grenoble Alpes, France
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America
| | - Michèle Wessa
- Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University of Mainz, Mainz, Germany
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy.; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy.
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Phillips ML, Urban NT, Salemi T, Dong Z, Yasuda R. Functional imaging of nine distinct neuronal populations under a miniscope in freely behaving animals. bioRxiv 2023:2023.12.13.571122. [PMID: 38168225 PMCID: PMC10760119 DOI: 10.1101/2023.12.13.571122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Head-mounted miniscopes have allowed for functional fluorescence imaging in freely moving animals. However, current capabilities of state-of-the-art technology can record only up to two, spectrally distinct fluorophores. This severely limits the number of cell types identifiable in a functional imaging experiment. Here we present a pipeline that enables the distinction of nine neuronal subtypes from regions defined by behaviorally relevant cells during in vivo GCaMP imaging. These subtypes are identified utilizing unique fluorophores that are co-expressed with GCaMP, unmixed by spectral imaging on a confocal microscope and co-registering these spectral fingerprints with functional data obtained on miniaturized microscopes. This method facilitates detailed analyses of circuit-level encoding of behavior.
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Affiliation(s)
- Mary L. Phillips
- Max Planck Florida Institute for Neuroscience, Jupiter, FL
- ZEISS Research Microscopy Solutions, White Plains, NY
| | | | - Taddeo Salemi
- Max Planck Florida Institute for Neuroscience, Jupiter, FL
| | | | - Ryohei Yasuda
- Max Planck Florida Institute for Neuroscience, Jupiter, FL
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17
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Soehner AM, Wallace ML, Edmiston K, Chase HW, Lockovich J, Aslam H, Stiffler R, Graur S, Skeba A, Bebko G, Benjamin OE, Wang Y, Phillips ML. Neurobehavioral Reward and Sleep-Circadian Profiles Predict Present and Next-Year Mania/Hypomania Symptoms. Biol Psychiatry Cogn Neurosci Neuroimaging 2023; 8:1251-1261. [PMID: 37230386 PMCID: PMC10665544 DOI: 10.1016/j.bpsc.2023.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/21/2023] [Accepted: 04/22/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Heightened reward sensitivity/impulsivity, related neural activity, and sleep-circadian disruption are important risk factors for bipolar spectrum disorders, the defining feature of which is mania/hypomania. Our goal was to identify neurobehavioral profiles based on reward and sleep-circadian features and examine their specificity to mania/hypomania versus depression vulnerability. METHODS At baseline, a transdiagnostic sample of 324 adults (18-25 years) completed trait measures of reward sensitivity (Behavioral Activation Scale), impulsivity (UPPS-P-Negative Urgency), and a functional magnetic resonance imaging card-guessing reward task (left ventrolateral prefrontal activity to reward expectancy, a neural correlate of reward motivation and impulsivity, was extracted). At baseline, 6-month follow-up, and 12-month follow-up, the Mood Spectrum Self-Report Measure - Lifetime Version assessed lifetime predisposition to subthreshold-syndromal mania/hypomania, depression, and sleep-circadian disturbances (insomnia, sleepiness, reduced sleep need, rhythm disruption). Mixture models derived profiles from baseline reward, impulsivity, and sleep-circadian variables. RESULTS Three profiles were identified: 1) healthy (no reward or sleep-circadian disruption; n = 162); 2) moderate-risk (moderate reward and sleep-circadian disruption; n = 109); and 3) high-risk (high impulsivity and sleep-circadian disruption; n = 53). At baseline, the high-risk group had significantly higher mania/hypomania scores than the other groups but did not differ from the moderate-risk group in depression scores. Over the follow-up period, the high-risk and moderate-risk groups exhibited elevated mania/hypomania scores, whereas depression scores increased at a faster rate in the healthy group than in the other groups. CONCLUSIONS Cross-sectional and next-year predisposition to mania/hypomania is associated with a combination of heightened reward sensitivity and impulsivity, related reward circuitry activity, and sleep-circadian disturbances. These measures can be used to detect mania/hypomania risk and provide targets to guide and monitor interventions.
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Affiliation(s)
- Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - Meredith L Wallace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Kale Edmiston
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Jeannette Lockovich
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Haris Aslam
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Richelle Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Simona Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alex Skeba
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Osasumwen E Benjamin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yiming Wang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Biostatistics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
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Medeiros D, Ayala-Baylon K, Egido-Betancourt H, Miller E, Chapleau CA, Robinson HA, Phillips ML, Yang T, Longo F, Li W, Pozzo-Miller L. A small-molecule TrkB ligand improves dendritic spine phenotypes and atypical behaviors in female Rett syndrome mice. bioRxiv 2023:2023.11.09.566435. [PMID: 37986936 PMCID: PMC10659425 DOI: 10.1101/2023.11.09.566435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Rett syndrome (RTT) is a neurodevelopmental disorder caused by mutations in methyl-CpG-binding protein-2 (MECP2), encoding a transcriptional regulator of many genes, including brain-derived neurotrophic factor (Bdnf). BDNF mRNA and protein levels are lower in RTT autopsy brains and in multiple brain regions of Mecp2-deficient mice, and experimentally increasing BDNF levels improve atypical phenotypes in Mecp2 mutant mice. Due to the low blood-brain barrier permeability of BDNF itself, we tested the effects of a brain penetrant, small molecule ligand of its TrkB receptors. Applied in vitro, LM22A-4 increased dendritic spine density in pyramidal neurons in cultured hippocampal slices from postnatal day (P) 7 male Mecp2 knockout (KO) mice as much as recombinant BDNF, and both effects were prevented by the TrkB receptor inhibitors K-252a and ANA-12. Consistent with its partial agonist activity, LM22A-4 did not affect spine density in CA1 pyramidal neurons in slice cultures from male wildtype (WT) mice, where typical BDNF levels outcompete its binding to TrkB. To identify neurons of known genotypes in the "mosaic" brain of female Mecp2 heterozygous (HET) mice, we treated 4-6-month-old female MeCP2-GFP WT and HET mice with peripheral injections of LM22A-4 for 4 weeks. Surprisingly, mutant neurons lacking MeCP2-GFP showed dendritic spine volumes comparable to that in WT controls, while MeCP2-GFP-expressing neurons showed larger spines, similar to the phenotype we described in symptomatic male Mecp2 KO mice where all neurons lack MeCP2. Consistent with this non-cell-autonomous mechanism, a 4-week systemic treatment with LM22A-4 had an effect only in MeCP2-GFP-expressing neurons in female Mecp2 HET mice, bringing dendritic spine volumes down to WT control levels, and without affecting spines of MeCP2-GFP-lacking neurons. At the behavioral level, we found that female Mecp2 HET mice engaged in aggressive behaviors significantly more than WT controls, which were reduced to WT levels by a 4-week systemic treatment with LM22A-4. Altogether, these data revealed differences in dendritic spine size and altered behaviors in Mecp2 HET mice, while providing support to the potential usefulness of BDNF-related therapeutic approaches such as the partial TrkB agonist LM22A-4.
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Phillips ML. Building a neurobiological framework to elucidate neural mechanisms, aid early risk detection, and develop new treatments for Bipolar Disorder. Psychiatry Res 2023; 329:115521. [PMID: 37797440 PMCID: PMC10841719 DOI: 10.1016/j.psychres.2023.115521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/25/2023] [Accepted: 09/29/2023] [Indexed: 10/07/2023]
Abstract
This article describes the progress that my colleagues and I have made over the last two decades in building a clinical neuroscience research program in Bipolar Disorder (BD). Here, we have focused on key research themes to ultimately help with early risk detection and the development of better treatments for individuals with BD. We have described the main areas that we are pursuing, namely, understanding the underlying neural mechanisms of BD and BD risk, differentiating BD and BD risk from depressive disorder risk, and the development of new treatments for individuals with BD. We conclude with a summary of future directions in our research that include examination of the molecular and metabolic abnormalities associated with neural network abnormalities underlying mania/hypomania risk, testing neural risk markers in independent samples stratified according to familial risk for BD, and the study of early infant and child neurodevelopmental processes that confer risk for affective disorders, including BD, in order to elucidate early neural risk markers.
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Affiliation(s)
- M L Phillips
- Department of Psychiatry, University of Pittsburgh, USA.
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20
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Northrup JB, Llamas B, Moses-Kolko EL, Phillips ML, Keenan K, Hipwell AE. Preconception interpersonal personality features predict postpartum maternal parenting behaviors. J Fam Psychol 2023; 37:680-688. [PMID: 37199939 PMCID: PMC10523986 DOI: 10.1037/fam0001108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Individual differences in personality traits affect the quality of social relationships. The parent-child relationship is among the most impactful social relationships in an individual's life, and positive parenting behaviors are known to support positive child development. The present study aimed to identify personality predictors-measured prior to conception at age 16-on later positive parenting behaviors. Young women (n = 207; 83.5% Black or multiracial; 86.9% receiving public assistance) who were followed since childhood as part of a prospective longitudinal study were observed interacting with their infants 4 months postpartum. We tested prospective associations between personality factors relevant to the quality and maintenance of social relationships-empathy, callousness, and rejection sensitivity-and coded dimensions of parenting behavior: maternal warmth, responsiveness, and mental state talk. We additionally examined potential moderating effects of infant affect on the relations between personality and parenting behavior. Results indicated that preconception empathy predicted later maternal warmth and responsivity, whereas preconception callousness was inversely associated with maternal warmth. The association between rejection sensitivity and maternal mental state talk was moderated by infant affect, consistent with a "goodness-of-fit" framework. The present study is the first to our knowledge to report associations between preconception personality and later parenting behaviors. The findings suggest that a woman's personality traits in adolescence, potentially years before she becomes a mother, can predict her behavior during interactions with her infant. Clinically, findings suggest the potential for interventions in adolescence to influence later parenting behavior and ultimately impact children's developmental outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Jessie B Northrup
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Bianca Llamas
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | | | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Kate Keenan
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh School of Medicine
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21
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Giles MA, Cooper CM, Jha MK, Chin Fatt CR, Pizzagalli DA, Mayes TL, Webb CA, Greer TL, Etkin A, Trombello JM, Chase HW, Phillips ML, McInnis MG, Carmody T, Adams P, Parsey RV, McGrath PJ, Weissman M, Kurian BT, Fava M, Trivedi MH. Reward Behavior Disengagement, a Neuroeconomic Model-Based Objective Measure of Reward Pathology in Depression: Findings from the EMBARC Trial. Behav Sci (Basel) 2023; 13:619. [PMID: 37622759 PMCID: PMC10451479 DOI: 10.3390/bs13080619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/28/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023] Open
Abstract
The probabilistic reward task (PRT) has identified reward learning impairments in those with major depressive disorder (MDD), as well as anhedonia-specific reward learning impairments. However, attempts to validate the anhedonia-specific impairments have produced inconsistent findings. Thus, we seek to determine whether the Reward Behavior Disengagement (RBD), our proposed economic augmentation of PRT, differs between MDD participants and controls, and whether there is a level at which RBD is high enough for depressed participants to be considered objectively disengaged. Data were gathered as part of the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study, a double-blind, placebo-controlled clinical trial of antidepressant response. Participants included 195 individuals with moderate to severe MDD (Quick Inventory of Depressive Symptomatology (QIDS-SR) score ≥ 15), not in treatment for depression, and with complete PRT data. Healthy controls (n = 40) had no history of psychiatric illness, a QIDS-SR score < 8, and complete PRT data. Participants with MDD were treated with sertraline or placebo for 8 weeks (stage I of the EMBARC trial). RBD was applied to PRT data using discriminant analysis, and classified MDD participants as reward task engaged (n = 137) or reward task disengaged (n = 58), relative to controls. Reward task engaged/disengaged groups were compared on sociodemographic features, reward-behavior, and sertraline/placebo response (Hamilton Depression Rating Scale scores). Reward task disengaged MDD participants responded only to sertraline, whereas those who were reward task engaged responded to sertraline and placebo (F(1293) = 4.33, p = 0.038). Reward task engaged/disengaged groups did not differ otherwise. RBD was predictive of reward impairment in depressed patients and may have clinical utility in identifying patients who will benefit from antidepressants.
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Affiliation(s)
- Michael A. Giles
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Crystal M. Cooper
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
- Jane and John Justin Neurosciences Center, Cook Children’s Health Care System, Fort Worth, TX 76104, USA
| | - Manish K. Jha
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Cherise R. Chin Fatt
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Diego A. Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- McLean Hospital, Belmont, MA 02478, USA
| | - Taryn L. Mayes
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Christian A. Webb
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- McLean Hospital, Belmont, MA 02478, USA
| | - Tracy L. Greer
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
- Department of Psychology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Joseph M. Trombello
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Henry W. Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Thomas Carmody
- Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Phillip Adams
- Department of Psychiatry, Columbia University, New York, NY 10032, USA
| | - Ramin V. Parsey
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, NY 11794, USA
| | | | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York, NY 10032, USA
| | - Benji T. Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- Massachusetts General Hospital, Boston, MA 02114, USA
| | - Madhukar H. Trivedi
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
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Schumer MC, Chase HW, Rozovsky R, Eickhoff SB, Phillips ML. Prefrontal, parietal, and limbic condition-dependent differences in bipolar disorder: a large-scale meta-analysis of functional neuroimaging studies. Mol Psychiatry 2023; 28:2826-2838. [PMID: 36782061 PMCID: PMC10615766 DOI: 10.1038/s41380-023-01974-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 01/15/2023] [Accepted: 01/19/2023] [Indexed: 02/15/2023]
Abstract
BACKGROUND Over the past few decades, neuroimaging research in Bipolar Disorder (BD) has identified neural differences underlying cognitive and emotional processing. However, substantial clinical and methodological heterogeneity present across neuroimaging experiments potentially hinders the identification of consistent neural biomarkers of BD. This meta-analysis aims to comprehensively reassess brain activation and connectivity in BD in order to identify replicable differences that converge across and within resting-state, cognitive, and emotional neuroimaging experiments. METHODS Neuroimaging experiments (using fMRI, PET, or arterial spin labeling) reporting whole-brain results in adults with BD and controls published from December 1999-June 18, 2019 were identified via PubMed search. Coordinates showing significant activation and/or connectivity differences between BD participants and controls during resting-state, emotional, or cognitive tasks were extracted. Four parallel, independent meta-analyses were calculated using the revised activation likelihood estimation algorithm: all experiment types, all resting-state experiments, all cognitive experiments, and all emotional experiments. To confirm reliability of identified clusters, two different meta-analytic significance tests were employed. RESULTS 205 published studies yielding 506 individual neuroimaging experiments (150 resting-state, 134 cognitive, 222 emotional) comprising 5745 BD and 8023 control participants were included. Five regions survived both significance tests. Individuals with BD showed functional differences in the right posterior cingulate cortex during resting-state experiments, the left amygdala during emotional experiments, including those using a mixed (positive/negative) valence manipulation, and the left superior and right inferior parietal lobules during cognitive experiments, while hyperactivating the left medial orbitofrontal cortex during cognitive experiments. Across all experiments, there was convergence in the right caudate extending to the ventral striatum, surviving only one significance test. CONCLUSIONS Our findings indicate reproducible localization of prefrontal, parietal, and limbic differences distinguishing BD from control participants that are condition-dependent, despite heterogeneity, and point towards a framework for identifying reproducible differences in BD that may guide diagnosis and treatment.
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Affiliation(s)
- Maya C Schumer
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Renata Rozovsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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23
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Martínez-Rivera FJ, Pérez-Torres J, Velázquez-Díaz CD, Sánchez-Navarro MJ, Huertas-Pérez CI, Diehl MM, Phillips ML, Haber SN, Quirk GJ. A Novel Insular/Orbital-Prelimbic Circuit That Prevents Persistent Avoidance in a Rodent Model of Compulsive Behavior. Biol Psychiatry 2023; 93:1000-1009. [PMID: 35491274 DOI: 10.1016/j.biopsych.2022.02.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 01/24/2022] [Accepted: 02/11/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND A common symptom of obsessive-compulsive disorder is the persistent avoidance of cues incorrectly associated with negative outcomes. This maladaptation becomes increasingly evident as subjects fail to respond to extinction-based treatments such as exposure-with-response prevention therapy. While previous studies have highlighted the role of the insular-orbital cortex in fine-tuning avoidance-based decisions, little is known about the projections from this area that might modulate compulsive-like avoidance. METHODS Here, we used anatomical tract-tracing, single-unit recording, and optogenetics to characterize the projections from the insular-orbital cortex. To model exposure-with-response prevention and persistent avoidance in rats, we used the platform-mediated avoidance task followed by extinction-with-response prevention training. RESULTS Using tract-tracing and unit recording, we found that projections from the agranular insular/lateral orbital (AI/LO) cortex to the prefrontal cortex predominantly target the rostral portion of the prelimbic (rPL) cortex and excite rPL neurons. Photoinhibiting this projection induced persistent avoidance after extinction-with-response prevention training, an effect that was still present 1 week later. Consistent with this, photoexcitation of this projection prevented persistent avoidance in overtrained rats. This projection to rPL appears to be key for AI/LO's effects, considering that there was no effect of photoinhibiting AI/LO projections to the ventral striatum or basolateral amygdala. CONCLUSIONS Our findings suggest that projections from the AI/LO to the rPL decreases the likelihood of avoidance behavior following extinction. In humans, this connectivity may share some homology of projections from lateral prefrontal cortices (i.e., ventrolateral prefrontal cortex, orbitofrontal cortex, and insula) to other prefrontal areas and the anterior cingulate cortex, suggesting that reduced activity in these pathways may contribute to obsessive-compulsive disorder.
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Affiliation(s)
- Freddyson J Martínez-Rivera
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico.
| | - José Pérez-Torres
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
| | - Coraly D Velázquez-Díaz
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
| | - Marcos J Sánchez-Navarro
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
| | - Carlos I Huertas-Pérez
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
| | - Maria M Diehl
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Suzanne N Haber
- Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, New York; McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Gregory J Quirk
- Departments of Psychiatry and Anatomy & Neurobiology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico
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Phillips ML. Promising approaches in the search for biomarkers of bipolar disorder. World Psychiatry 2023; 22:264-265. [PMID: 37159354 PMCID: PMC10168172 DOI: 10.1002/wps.21080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/08/2023] [Indexed: 05/11/2023] Open
Affiliation(s)
- Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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25
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Zhang Y, Banihashemi L, Samolyk A, Taylor M, English G, Schmithorst VJ, Lee VK, Versace A, Stiffler R, Aslam H, Panigrahy A, Hipwell AE, Phillips ML. Early infant prefrontal gray matter volume is associated with concurrent and future infant emotionality. Transl Psychiatry 2023; 13:125. [PMID: 37069146 PMCID: PMC10110602 DOI: 10.1038/s41398-023-02427-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/24/2023] [Accepted: 04/04/2023] [Indexed: 04/19/2023] Open
Abstract
High levels of infant negative emotionality (NE) are associated with emotional and behavioral problems later in childhood. Identifying neural markers of high NE as well as low positive emotionality (PE) in infancy can provide neural markers to aid early identification of vulnerability, and inform interventions to help delay or even prevent psychiatric disorders before the manifestation of symptoms. Prefrontal cortical (PFC) subregions support the regulation of NE and PE, with each PFC subregion differentially specializing in distinct emotional regulation processes. Gray matter (GM) volume measures show good test-retest reliability, and thus have potential use as neural markers of NE and PE. Yet, while studies showed PFC GM structural abnormalities in adolescents and young adults with affective disorders, few studies examined how PFC subregional GM measures are associated with NE and PE in infancy. We aimed to identify relationships among GM in prefrontal cortical subregions at 3 months and caregiver report of infant NE and PE, covarying for infant age and gender and caregiver sociodemographic and clinical variables, in two independent samples at 3 months (Primary: n = 75; Replication sample: n = 40) and at 9 months (Primary: n = 44; Replication sample: n = 40). In the primary sample, greater 3-month medial superior frontal cortical volume was associated with higher infant 3-month NE (p < 0.05); greater 3-month ventrolateral prefrontal cortical volume predicted lower infant 9-month PE (p < 0.05), even after controlling for 3-month NE and PE. GM volume in other PFC subregions also predicted infant 3- and 9-month NE and PE, together with infant demographic factors, caregiver age, and/or caregiver affective instability and anxiety. These findings were replicated in the independent sample. To our knowledge, this is the first study to determine in primary and replication samples associations among infant PFC GM volumes and concurrent and prospective NE and PE, and identify promising, early markers of future psychopathology risk.
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Affiliation(s)
- Yicheng Zhang
- University of Pittsburgh Swanson School of Engineering, Department of Bioengineering, Pittsburgh, PA, USA.
| | - Layla Banihashemi
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Alyssa Samolyk
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Megan Taylor
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Gabrielle English
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Vanessa J Schmithorst
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA, USA
| | - Vincent K Lee
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA, USA
| | - Amelia Versace
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Richelle Stiffler
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Haris Aslam
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Ashok Panigrahy
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA, USA
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Mary L Phillips
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
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26
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Lefrere A, Auzias G, Favre P, Kaltenmark I, Houenou J, Piguet C, Polosan M, Eyler LT, Phillips ML, Versace A, Wessa M, McDonald C, Cannon DM, Brambilla P, Bellani M, Deruelle C, Belzeaux R. Global and local cortical folding alterations are associated with neurodevelopmental subtype in bipolar disorders: a sulcal pits analysis. J Affect Disord 2023; 325:224-230. [PMID: 36608853 DOI: 10.1016/j.jad.2022.12.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 11/10/2022] [Accepted: 12/31/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Analyzing cortical folding may provide insight into the biological underpinnings of neurodevelopmental diseases. A neurodevelopmental subtype of bipolar disorders (BD-ND) has been characterized by the combination of early age of onset and psychotic features. We investigate potential cortical morphology differences associated with this subtype. We analyze, for the first time in bipolar disorders, the sulcal pits, the deepest points in each fold of the cerebral cortex. METHODS We extracted the sulcal pits from anatomical MRI among 512 participants gathered from 7 scanning sites. We compared the number of sulcal pits in each hemisphere as well as their regional occurrence and depth between the BD-ND subgroup (N = 184), a subgroup without neurodevelopmental features (BD, N = 77) and a group of healthy controls (HC, N = 251). RESULTS In whole brain analysis, BD-ND group have a higher number of sulcal pits in comparison to the BD group. The local analysis revealed, after correction for multiple testing, a higher occurrence of sulcal pits in the left premotor cortex among the BD-ND subgroup compared to the BD and the HC groups. CONCLUSION Our findings confirm that BD-ND is associated with a specific brain morphology revealed by the analysis of sulcal pits. These markers may help to better understand neurodevelopment in mood disorder and stratify patients according to a pathophysiological hypothesis.
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Affiliation(s)
- Antoine Lefrere
- Department of Psychiatry Sainte Marguerite Hospital, Assistance Publique Hôpitaux de Marseille, 13009 Marseille, France; Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France; Fondation Fondamental, Créteil, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Pauline Favre
- Fondation Fondamental, Créteil, France; Paris Saclay University, UNIACT, Eq. Psychiatry, NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; Paris Est University, INSERM U955, Eq. Neuropsychiatrie Translationnelle, Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires Mondor, DMU IMPACT de Psychiatrie et d'Addictologie, Créteil, France
| | | | - Josselin Houenou
- Fondation Fondamental, Créteil, France; Paris Saclay University, UNIACT, Eq. Psychiatry, NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; Paris Est University, INSERM U955, Eq. Neuropsychiatrie Translationnelle, Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires Mondor, DMU IMPACT de Psychiatrie et d'Addictologie, Créteil, France
| | - Camille Piguet
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Switzerland
| | - Mircea Polosan
- Grenoble Alpes University, Inserm U1216 Grenoble Institute of Neuroscience, CHU Grenoble Alpes, Grenoble, France
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- University of Pittsburgh Medical Center, University of Pittsburgh
| | - Michèle Wessa
- Department of Clinical Psychology and Neuropsychology, Johannes Gutenberg University, Mainz, Germany
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33, Galway, Ireland
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Christine Deruelle
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Raoul Belzeaux
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France; Fondation Fondamental, Créteil, France; Pôle Universitaire de Psychiatrie, CHU de Montpellier, France.
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27
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Banihashemi L, Schmithorst VJ, Bertocci MA, Samolyk A, Zhang Y, Lima Santos JP, Versace A, Taylor M, English G, Northrup JB, Lee VK, Stiffler R, Aslam H, Panigrahy A, Hipwell AE, Phillips ML. Neural Network Functional Interactions Mediate or Suppress WM-Emotional Behavior Relationships in Infants. Biol Psychiatry 2023:S0006-3223(23)01088-0. [PMID: 36918062 PMCID: PMC10365319 DOI: 10.1016/j.biopsych.2023.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND Elucidating the neural basis of infant positive emotionality (PE) and negative emotionality (NE) can identify biomarkers of pathophysiological risk. Our goal was to determine how functional interactions among large-scale networks supporting emotional regulation influence WM microstructural-emotional behavior relationships in 3-month-old infants. We hypothesized that microstructural-emotional behavior relationships would be differentially mediated or suppressed by underlying resting-state functional connectivity (rsFC), particularly between Default Mode Network (DMN) and Central Executive Network (CEN) structures. METHODS The analytic sample comprised primary caregiver-infant dyads [52 infants (42% female, mean age at scan=15.10 weeks)], with infant neuroimaging and emotional behavior assessments at 3 months. Infant WM and rsFC were assessed by diffusion-weighted imaging/tractography and resting-state magnetic resonance imaging (MRI) during natural, non-sedated sleep. The Infant Behavior Questionnaire-R provided measures of infant PE and NE. RESULTS Following significant WM-emotional behavior relationships, multimodal analyses were performed using whole-brain voxelwise mediation. Results revealed that greater cingulum bundle volume was significantly associated with lower infant PE (ß = -0.263, p = 0.031); however, a pattern of lower rsFC between CEN and DMN structures suppressed this otherwise negative relationship. Greater uncinate fasciculus volume was significantly associated with lower infant NE (ß = -0.296, p = 0.022); however, lower orbitofrontal cortex (OFC)-amygdala rsFC, suppressed this otherwise negative relationship, while greater OFC-CEN rsFC mediated this relationship. CONCLUSIONS Functional interactions among neural networks have an important influence on WM microstructural-emotional behavior relationships in infancy. These relationships can elucidate neural mechanisms contributing to future behavioral and emotional problems in childhood.
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Affiliation(s)
- Layla Banihashemi
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA.
| | - Vanessa J Schmithorst
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Michele A Bertocci
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Alyssa Samolyk
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Yicheng Zhang
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | - Amelia Versace
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Megan Taylor
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Gabrielle English
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Jessie B Northrup
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Vincent K Lee
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Richelle Stiffler
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Haris Aslam
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Ashok Panigrahy
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Mary L Phillips
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
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Bertocci MA, Afriyie-Agyemang Y, Rozovsky R, Iyengar S, Stiffler R, Aslam HA, Bebko G, Phillips ML. Altered patterns of central executive, default mode and salience network activity and connectivity are associated with current and future depression risk in two independent young adult samples. Mol Psychiatry 2023; 28:1046-1056. [PMID: 36481935 PMCID: PMC10530634 DOI: 10.1038/s41380-022-01899-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022]
Abstract
Neural markers of pathophysiological processes underlying the dimension of subsyndromal-syndromal-level depression severity can provide objective, biologically informed targets for novel interventions to help prevent the onset of depressive and other affective disorders in individuals with subsyndromal symptoms, and prevent worsening symptom severity in those with these disorders. Greater functional connectivity (FC) among the central executive network (CEN), supporting emotional regulation (ER) subcomponent processes such as working memory (WM), the default mode network (DMN), supporting self-related information processing, and the salience network (SN), is thought to interfere with cognitive functioning and predispose to depressive disorders. We examined in young adults (1) relationships among activity and FC in these networks and current depression severity, using a paradigm designed to examine WM and ER capacity in n = 90, age = 21.7 (2.0); (2) the extent to which these relationships were specific to depression versus mania/hypomania; (3) whether findings in a first, "discovery" sample could be replicated in a second, independent, "test" sample of young adults n = 96, age = 21.6 (2.1); and (4) whether such relationships also predicted depression at up to 12 months post scan and/or mania/hypomania severity in (n = 61, including participants from both samples, age = 21.6 (2.1)). We also examined the extent to which there were common depression- and anxiety-related findings, given that depression and anxiety are highly comorbid. In the discovery sample, current depression severity was robustly predicted by greater activity and greater positive functional connectivity among the CEN, DMN, and SN during working memory and emotional regulation tasks (all ps < 0.05 qFDR). These findings were specific to depression, replicated in the independent sample, and predicted future depression severity. Similar neural marker-anxiety relationships were shown, with robust DMN-SN FC relationships. These data help provide objective, neural marker targets to better guide and monitor early interventions in young adults at risk for, or those with established, depressive and other affective disorders.
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Affiliation(s)
- Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | | | - Renata Rozovsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh School of Arts and Sciences, Pittsburgh, PA, USA
| | - Richelle Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Haris A Aslam
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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29
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Phillips ML, Narendran R. Elucidating neurobiological mechanisms of mania: Critical next steps. Eur Neuropsychopharmacol 2022; 65:1-3. [PMID: 36137409 DOI: 10.1016/j.euroneuro.2022.08.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 11/04/2022]
Affiliation(s)
- M L Phillips
- Department of Psychiatry, University of Pittsburgh, United States
| | - R Narendran
- Department of Psychiatry, University of Pittsburgh, United States
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30
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Eckstrand KL, Silk JS, Nance M, Wallace ML, Buckley N, Lindenmuth M, Flores L, Alarcón G, Quevedo K, Phillips ML, Lenniger CJ, Sammon MM, Brostowin A, Ryan N, Jones N, Forbes EE. Medial Prefrontal Cortex Activity to Reward Outcome Moderates the Association Between Victimization Due to Sexual Orientation and Depression in Youth. Biol Psychiatry Cogn Neurosci Neuroimaging 2022; 7:1289-1297. [PMID: 36064188 PMCID: PMC9842132 DOI: 10.1016/j.bpsc.2022.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Sexual minority youth (SMY) are 3 times more likely to experience depression than heterosexual peers. Minority stress theory posits that this association is explained by sexual orientation victimization, which acts as a stressor to impact depression. For those vulnerable to the effects of stress, victimization may worsen depression by altering activity in neural reward systems. This study examines whether neural reward systems moderate the influence of sexual orientation victimization, a common and distressing experience in SMY, on depression. METHODS A total of 81 participants ages 15 to 22 years (41% SMY, 52% marginalized race) reported sexual orientation victimization, depression severity, and anhedonia severity, and underwent a monetary reward functional magnetic resonance imaging task. Significant activation to reward > neutral outcome (pfamilywise error < .05) was determined within a meta-analytically derived Neurosynth reward mask. A univariate linear model examined the impact of reward activation and identity on victimization-depression relationships. RESULTS SMY reported higher depression (p < .001), anhedonia (p = .03), and orientation victimization (p < .001) than heterosexual youth. The bilateral ventral striatum, medial prefrontal cortex (mPFC), anterior cingulate cortex, and right orbitofrontal cortex were significantly active to reward. mPFC activation moderated associations between sexual orientation victimization and depression (p = .03), with higher depression severity observed in those with a combination of higher mPFC activation and greater orientation victimization. CONCLUSIONS Sexual orientation victimization was related to depression but only in the context of higher mPFC activation, a pattern observed in depressed youth. These novel results provide evidence for neural reward sensitivity as a vulnerability factor for depression in SMY, suggesting mechanisms for disparities, and are a first step toward a clinical neuroscience understanding of minority stress in SMY.
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Affiliation(s)
| | - Jennifer S. Silk
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA
| | - Melissa Nance
- Department of Psychology, University of Missouri St. Louis, St. Louis, MO
| | | | - Nicole Buckley
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | | | - Luis Flores
- Department of Psychology, Queen’s University, Kingston, Ontario, Canada
| | - Gabriela Alarcón
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Karina Quevedo
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | | | - M. McLean Sammon
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Alyssa Brostowin
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Neal Ryan
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Neil Jones
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Erika E. Forbes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA
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31
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Phillips ML. COVID-19 and the Infant Brain: Critical Links Among Prenatal Maternal Distress, Social Support, and Neurodevelopment. Biol Psychiatry 2022; 92:687-689. [PMID: 36202542 PMCID: PMC9527395 DOI: 10.1016/j.biopsych.2022.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 07/29/2022] [Indexed: 11/04/2022]
Affiliation(s)
- Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
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32
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Kaiser RH, Chase HW, Phillips ML, Deckersbach T, Parsey RV, Fava M, McGrath PJ, Weissman M, Oquendo MA, McInnis MG, Carmody T, Cooper CM, Trivedi MH, Pizzagalli DA. Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response. Biol Psychiatry 2022; 92:533-542. [PMID: 35680431 PMCID: PMC10640874 DOI: 10.1016/j.biopsych.2022.03.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/02/2022] [Accepted: 03/23/2022] [Indexed: 12/26/2022]
Abstract
BACKGROUND Delivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing novel dynamic resting-state functional network markers of antidepressant response. METHODS The Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study randomized adults with major depressive disorder to 8 weeks of either sertraline or placebo, and depression severity was evaluated longitudinally. Participants completed resting-state neuroimaging pretreatment and again after 1 week of treatment (n = 259 eligible for analyses). Coactivation pattern analyses identified recurrent whole-brain states of spatial coactivation, and computed time spent in each state for each participant was the main dynamic measure. Multilevel modeling estimated the associations between pretreatment network dynamics and sertraline response and between early (pretreatment to 1 week) changes in network dynamics and sertraline response. RESULTS Dynamic network markers of early sertraline response included increased time in network states consistent with canonical default and salience networks, together with decreased time in network states characterized by coactivation of cingulate and ventral limbic or temporal regions. The effect of sertraline on depression recovery was mediated by these dynamic network changes. In contrast, early changes in dynamic functioning of corticolimbic and frontoinsular-default networks were related to patterns of symptom recovery common across treatment groups. CONCLUSIONS Dynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.
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Affiliation(s)
- Roselinde H Kaiser
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado; Institute of Cognitive Science, University of Colorado Boulder, Boulder, Colorado; Renée Crown Wellness Institute, University of Colorado Boulder, Boulder, Colorado.
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Thilo Deckersbach
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts
| | - Patrick J McGrath
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Myrna Weissman
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Thomas Carmody
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas
| | - Crystal M Cooper
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas
| | - Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Boston, Massachusetts
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33
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Fouche JP, Groenewold NA, Sevenoaks T, Heany S, Lochner C, Alonso P, Batistuzzo MC, Cardoner N, Ching CRK, de Wit SJ, Gutman B, Hoexter MQ, Jahanshad N, Kim M, Kwon JS, Mataix-Cols D, Menchon JM, Miguel EC, Nakamae T, Phillips ML, Pujol J, Sakai Y, Yun JY, Soriano-Mas C, Thompson PM, Yamada K, Veltman DJ, van den Heuvel OA, Stein DJ. Shape analysis of subcortical structures in obsessive-compulsive disorder and the relationship with comorbid anxiety, depression, and medication use: A meta-analysis by the OCD Brain Imaging Consortium. Brain Behav 2022; 12:e2755. [PMID: 36106505 PMCID: PMC9575597 DOI: 10.1002/brb3.2755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 08/09/2022] [Accepted: 08/16/2022] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE Neuroimaging studies of obsessive-compulsive disorder (OCD) patients have highlighted the important role of deep gray matter structures. Less work has however focused on subcortical shape in OCD patients. METHODS Here we pooled brain MRI scans from 412 OCD patients and 368 controls to perform a meta-analysis utilizing the ENIGMA-Shape protocol. In addition, we investigated modulating effects of medication status, comorbid anxiety or depression, and disease duration on subcortical shape. RESULTS There was no significant difference in shape thickness or surface area between OCD patients and healthy controls. For the subgroup analyses, OCD patients with comorbid depression or anxiety had lower thickness of the hippocampus and caudate nucleus and higher thickness of the putamen and pallidum compared to controls. OCD patients with comorbid depression had lower shape surface area in the thalamus, caudate nucleus, putamen, hippocampus, and nucleus accumbens and higher shape surface area in the pallidum. OCD patients with comorbid anxiety had lower shape surface area in the putamen and the left caudate nucleus and higher shape surface area in the pallidum and the right caudate nucleus. Further, OCD patients on medication had lower shape thickness of the putamen, thalamus, and hippocampus and higher thickness of the pallidum and caudate nucleus, as well as lower shape surface area in the hippocampus and amygdala and higher surface area in the putamen, pallidum, and caudate nucleus compared to controls. There were no significant differences between OCD patients without co-morbid anxiety and/or depression and healthy controls on shape measures. In addition, there were also no significant differences between OCD patients not using medication and healthy controls. CONCLUSIONS The findings here are partly consistent with prior work on brain volumes in OCD, insofar as they emphasize that alterations in subcortical brain morphology are associated with comorbidity and medication status. Further work is needed to understand the biological processes contributing to subcortical shape.
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Affiliation(s)
- Jean-Paul Fouche
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Nynke A Groenewold
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Tatum Sevenoaks
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Sarah Heany
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Christine Lochner
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Pino Alonso
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, IDIBELL, Barcelona, Spain.,Carlos III Health Institute, Centro de Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Marcelo C Batistuzzo
- Department & Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Department of Methods and Techniques in Psychology, Pontifical Catholic University, Sao Paulo, SP, Brazil
| | - Narcis Cardoner
- Carlos III Health Institute, Centro de Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Sant Pau Mental Health Group, Institut d'Investigacio Biomedica Sant Pau (IBB-Sant Pau), Hospital de la Sant Creu i Sant Pau, Barcelona, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Stella J de Wit
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands.,Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Boris Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Marcelo Q Hoexter
- Department & Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Human Behavioral Medicine, SNU MRC, Seoul, Republic of Korea.,Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Jose M Menchon
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, IDIBELL, Barcelona, Spain.,Carlos III Health Institute, Centro de Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Euripedes C Miguel
- Department & Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Jesus Pujol
- MRI Research Unit, Radiology Department, Hospital del Mar, Barcelona, Spain
| | - Yuki Sakai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.,ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea.,Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, IDIBELL, Barcelona, Spain.,Carlos III Health Institute, Centro de Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona-UB, Barcelona, Spain
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Kei Yamada
- Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands.,Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Odile A van den Heuvel
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands.,Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Dan J Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
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Siegel-Ramsay JE, Bertocci MA, Wu B, Phillips ML, Strakowski SM, Almeida JRC. Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review. Bipolar Disord 2022; 24:474-498. [PMID: 35060259 DOI: 10.1111/bdi.13176] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar depression characterize pathophysiological differences between these conditions. However, it is difficult to interpret the current literature due to differences in MRI modalities, analysis methods, and study designs. METHODS We conducted a systematic review of publications using MRI to compare individuals with bipolar and unipolar depression. We grouped studies according to MRI modality and task design. Within the discussion, we critically evaluated and summarized the functional MRI research and then further complemented these findings by reviewing the structural MRI literature. RESULTS We identified 88 MRI publications comparing participants with bipolar depression and unipolar depressive disorder. Compared to individuals with unipolar depression, participants with bipolar disorder exhibited heightened function, increased within network connectivity, and reduced grey matter volume in salience and central executive network brain regions. Group differences in default mode network function were less consistent but more closely associated with depressive symptoms in participants with unipolar depression but distractibility in bipolar depression. CONCLUSIONS When comparing mood disorder groups, the neuroimaging evidence suggests that individuals with bipolar disorder are more influenced by emotional and sensory processing when responding to their environment. In contrast, depressive symptoms and neurofunctional response to emotional stimuli were more closely associated with reduced central executive function and less adaptive cognitive control of emotionally oriented brain regions in unipolar depression. Researchers now need to replicate and refine network-level trends in these heterogeneous mood disorders and further characterize MRI markers associated with early disease onset, progression, and recovery.
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Affiliation(s)
- Jennifer E Siegel-Ramsay
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Bryan Wu
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Stephen M Strakowski
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Jorge R C Almeida
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
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35
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Santos JPL, Versace A, Stiffler RS, Aslam HA, Lockovich JC, Bonar L, Bertocci M, Iyengar S, Bebko G, Skeba A, Gill MK, Monk K, Hickey MB, Birmaher B, Phillips ML. White matter predictors of worsening of subthreshold hypomania severity in non-bipolar young adults parallel abnormalities in individuals with bipolar disorder. J Affect Disord 2022; 306:148-156. [PMID: 35331820 PMCID: PMC9008581 DOI: 10.1016/j.jad.2022.03.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/28/2022] [Accepted: 03/15/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Identifying neural predictors of worsening subthreshold hypomania severity can help identify risk of progression to BD. While diffusion Magnetic Resonance Imaging (dMRI) studies reported white matter microstructural abnormalities in tracts supporting emotional regulation in individuals with BD, it remains unknown whether similar patterns of white matter microstructure predict worsening of subthreshold hypomania severity in non-BD individuals. METHODS dMRI data were collected in: 81 non-BD individuals recruited across a range of subthreshold depression and hypomania, and followed for six months; and independent samples of 75 BD and 58 healthy individuals. All individuals were assessed using standardized diagnostic assessments, mood and anxiety symptom rating scales. Global probabilistic tractography and a tract-profile approach examined fractional anisotropy (FA), a measure of fiber collinearity, in tracts supporting emotional regulation shown to have abnormalities in BD: forceps minor (FMIN), anterior thalamic radiation (ATR), cingulum bundle (CB), and uncinate fasciculus (UF). RESULTS Lower FA in left CB (middle, β = -0.22, P = 0.022; posterior, β = -0.32, P < 0.001), right CB (anterior, β = -0.30, P = 0.003; posterior, β = -0.27, P = 0.005), and right UF (frontal, β = -0.29, P = 0.002; temporal, β = -0.40, P < 0.001) predicted worsening of subthreshold hypomania severity in non-BD individuals. BD versus healthy individuals showed lower FA in several of these segments: middle left CB (F = 8.7, P = 0.004), anterior right CB (F = 9.8, P = 0.002), and frontal right UF (F = 7.0, P = 0.009). Non-BD individuals with worsening 6-month hypomania had lower FA in these three segments versus HC and non-BD individuals without worsening hypomania, but similar FA to BD individuals. LIMITATIONS Relatively short follow-up. CONCLUSIONS White matter predictors of worsening subthreshold hypomania in non-BD individuals parallel abnormalities in BD individuals, and can guide early risk identification and interventions.
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Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA; Department of Radiology, Magnetic Resonance Research Center, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Richelle S Stiffler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Haris A Aslam
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jeanette C Lockovich
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michele Bertocci
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Satish Iyengar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Genna Bebko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alexander Skeba
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary Beth Hickey
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
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Manelis A, Lima Santos JP, Suss SJ, Holland CL, Stiffler RS, Bitzer HB, Mailliard S, Shaffer MA, Caviston K, Collins MW, Phillips ML, Kontos AP, Versace A. Vestibular/ocular motor symptoms in concussed adolescents are linked to retrosplenial activation. Brain Commun 2022; 4:fcac123. [PMID: 35615112 PMCID: PMC9127539 DOI: 10.1093/braincomms/fcac123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 04/07/2022] [Accepted: 05/11/2022] [Indexed: 11/23/2022] Open
Abstract
Following concussion, adolescents often experience vestibular and ocular motor symptoms as well as working memory deficits that may affect their cognitive, academic and social well-being. Complex visual environments including school activities, playing sports, or socializing with friends may be overwhelming for concussed adolescents suffering from headache, dizziness, nausea and fogginess, thus imposing heightened requirements on working memory to adequately function in such environments. While understanding the relationship between working memory and vestibular/ocular motor symptoms is critically important, no previous study has examined how an increase in working memory task difficulty affects the relationship between severity of vestibular/ocular motor symptoms and brain and behavioural responses in a working memory task. To address this question, we examined 80 adolescents (53 concussed, 27 non-concussed) using functional MRI while performing a 1-back (easy) and 2-back (difficult) working memory tasks with angry, happy, neutral and sad face distractors. Concussed adolescents completed the vestibular/ocular motor screening and were scanned within 10 days of injury. We found that all participants showed lower accuracy and slower reaction time on difficult (2-back) versus easy (1-back) tasks (P-values < 0.05). Concussed adolescents were significantly slower than controls across all conditions (P < 0.05). In concussed adolescents, higher vestibular/ocular motor screening total scores were associated with significantly greater differences in reaction time between 1-back and 2-back across all distractor conditions and significantly greater differences in retrosplenial cortex activation for the 1-back versus 2-back condition with neutral face distractors (P-values < 0.05). Our findings suggest that processing of emotionally ambiguous information (e.g. neutral faces) additionally increases the task difficulty for concussed adolescents. Post-concussion vestibular/ocular motor symptoms may reduce the ability to inhibit emotionally ambiguous information during working memory tasks, potentially affecting cognitive, academic and social functioning in concussed adolescents.
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Affiliation(s)
- Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Stephen J. Suss
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cynthia L. Holland
- Department of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Hannah B. Bitzer
- Department of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sarrah Mailliard
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Madelyn A. Shaffer
- Department of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kaitlin Caviston
- Department of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michael W. Collins
- Department of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anthony P. Kontos
- Department of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Radiology, Magnetic Resonance Research Center, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
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Nguyen KP, Chin Fatt C, Treacher A, Mellema C, Cooper C, Jha MK, Kurian B, Fava M, McGrath PJ, Weissman M, Phillips ML, Trivedi MH, Montillo AA. Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial. Biol Psychiatry 2022; 91:550-560. [PMID: 34916068 PMCID: PMC8857018 DOI: 10.1016/j.biopsych.2021.09.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 08/31/2021] [Accepted: 09/14/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND The lack of biomarkers to inform antidepressant selection is a key challenge in personalized depression treatment. This work identifies candidate biomarkers by building deep learning predictors of individual treatment outcomes using reward processing measures from functional magnetic resonance imaging, clinical assessments, and demographics. METHODS Participants in the EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study (n = 222) underwent reward processing task-based functional magnetic resonance imaging at baseline and were randomized to 8 weeks of sertraline (n = 106) or placebo (n = 116). Subsequently, sertraline nonresponders (n = 37) switched to 8 weeks of bupropion. The change in Hamilton Depression Rating Scale was measured after treatment. Reward processing, clinical measurements, and demographics were used to train treatment-specific deep learning models. RESULTS The predictive model for sertraline achieved R2 of 48% (95% CI, 33%-61%; p < 10-3) in predicting the change in Hamilton Depression Rating Scale and number-needed-to-treat (NNT) of 4.86 participants in predicting response. The placebo model achieved R2 of 28% (95% CI, 15%-42%; p < 10-3) and NNT of 2.95 in predicting response. The bupropion model achieved R2 of 34% (95% CI, 10%-59%, p < 10-3) and NNT of 1.68 in predicting response. Brain regions where reward processing activity was predictive included the prefrontal cortex and cerebellar crus 1 for sertraline and the cingulate cortex, caudate, orbitofrontal cortex, and crus 1 for bupropion. CONCLUSIONS These findings demonstrate the utility of reward processing measurements and deep learning to predict antidepressant outcomes and to form multimodal treatment biomarkers.
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Affiliation(s)
- Kevin P Nguyen
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Cherise Chin Fatt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Alex Treacher
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Cooper Mellema
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Crystal Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas; Jane and John Justin Neuroscience Center, Cook Children's Health Care System, Fort Worth, Texas
| | - Manish K Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Benji Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Patrick J McGrath
- New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, New York
| | - Myrna Weissman
- New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, New York
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
| | - Albert A Montillo
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas.
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Satz S, Halchenko YO, Ragozzino R, Lucero MM, Phillips ML, Swartz HA, Manelis A. The Relationship Between Default Mode and Dorsal Attention Networks Is Associated With Depressive Disorder Diagnosis and the Strength of Memory Representations Acquired Prior to the Resting State Scan. Front Hum Neurosci 2022; 16:749767. [PMID: 35264938 PMCID: PMC8898930 DOI: 10.3389/fnhum.2022.749767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 02/01/2022] [Indexed: 12/12/2022] Open
Abstract
Previous research indicates that individuals with depressive disorders (DD) have aberrant resting state functional connectivity and may experience memory dysfunction. While resting state functional connectivity may be affected by experiences preceding the resting state scan, little is known about this relationship in individuals with DD. Our study examined this question in the context of object memory. 52 individuals with DD and 45 healthy controls (HC) completed clinical interviews, and a memory encoding task followed by a forced-choice recognition test. A 5-min resting state fMRI scan was administered immediately after the forced-choice task. Resting state networks were identified using group Independent Component Analysis across all participants. A network modeling analysis conducted on 22 networks using FSLNets examined the interaction effect of diagnostic status and memory accuracy on the between-network connectivity. We found that this interaction significantly affected the relationship between the network comprised of the medial prefrontal cortex, posterior cingulate cortex, and hippocampal formation and the network comprised of the inferior temporal, parietal, and prefrontal cortices. A stronger positive correlation between these two networks was observed in individuals with DD who showed higher memory accuracy, while a stronger negative correlation (i.e., anticorrelation) was observed in individuals with DD who showed lower memory accuracy prior to resting state. No such effect was observed for HC. The former network cross-correlated with the default mode network (DMN), and the latter cross-correlated with the dorsal attention network (DAN). Considering that the DMN and DAN typically anticorrelate, we hypothesize that our findings indicate aberrant reactivation and consolidation processes that occur after the task is completed. Such aberrant processes may lead to continuous "replay" of previously learned, but currently irrelevant, information and underlie rumination in depression.
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Affiliation(s)
- Skye Satz
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yaroslav O. Halchenko
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - Rachel Ragozzino
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mora M. Lucero
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mary L. Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Holly A. Swartz
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Anna Manelis
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States
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Lima Santos JP, Kontos AP, Holland CL, Stiffler RS, Bitzer HB, Caviston K, Shaffer M, Suss Jr. SJ, Martinez L, Manelis A, Iyengar S, Brent D, Ladouceur CD, Collins MW, Phillips ML, Versace A. The role of sleep quality on white matter integrity and concussion symptom severity in adolescents. NeuroImage: Clinical 2022; 35:103130. [PMID: 35917722 PMCID: PMC9421495 DOI: 10.1016/j.nicl.2022.103130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/29/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022] Open
Abstract
Poor sleepers showed lower NDI in several tracts relative to good sleepers. The effect of sleep quality was significant after seven days between injury and scan. Good sleepers showed no differences relative to non-concussed controls. Significant relationship between low NDI, poor sleep, and higher symptom severity. Being female and low NDI significantly correlate with higher severity of symptoms.
Background Sleep problems are common after concussion; yet, to date, no study has evaluated the relationship between sleep, white matter integrity, and post-concussion symptoms in adolescents. Using self-reported quality of sleep measures within the first 10 days of injury, we aimed to determine if quality of sleep exerts a main effect on white matter integrity in major tracts, as measured by diffusion Magnetic Resonance Imaging (dMRI), and further examine whether this effect can help explain the variance in post-concussion symptom severity in 12- to 17.9-year-old adolescents. Methods dMRI data were collected in 57 concussed adolescents (mean age[SD] = 15.4[1.5] years; 41.2 % female) with no history of major psychiatric diagnoses. Severity of post-concussion symptoms was assessed at study entry (mean days[SD] = 3.7[2.5] days since injury). Using the Pittsburgh Sleep Quality Index (PSQI), concussed adolescents were divided into two groups based on their quality of sleep in the days between injury and scan: good sleepers (PSQI global score ≤ 5; N = 33) and poor sleepers (PSQI global score > 5; N = 24). Neurite Orientation Dispersion and Dispersion Index (NODDI), specifically the Neurite Density Index (NDI), was used to quantify microstructural properties in major tracts, including 18 bilateral and one interhemispheric tract, and identify whether dMRI differences existed in good vs poor sleepers. Since the interval between concussion and neuroimaging acquisition varied among concussed adolescents, this interval was included in the analysis along with an interaction term with sleep groups. Regularized regression was used to identify if quality of sleep-related dMRI measures correlated with post-concussion symptom severity. Due to higher reported concussion symptom severity in females, interaction terms between dMRI and sex were included in the regularized regression model. Data collected in 33 sex- and age-matched non-concussed controls (mean age[SD] = 15.2[1.5]; 45.5 % female) served as healthy reference and sex and age were covariates in all analyses. Results Relative to good sleepers, poor sleepers demonstrated widespread lower NDI (18 of the 19 tracts; FDR corrected P < 0.048). This group effect was only significant with at least seven days between concussion and neuroimaging acquisition. Post-concussion symptoms severity was negatively correlated with NDI in four of these tracts: cingulum bundle, optic radiation, striato-fronto-orbital tract, and superior longitudinal fasciculus I. The multiple linear regression model combining sex and NDI of these four tracts was able to explain 33.2 % of the variability in symptom severity (F[7,49] = 4.9, P < 0.001, Adjusted R2 = 0.332). Relative to non-concussed controls, poor sleepers demonstrated lower NDI in the cingulum bundle, optic radiation, and superior longitudinal fasciculus I (FDR corrected P < 0.040). Conclusions Poor quality of sleep following concussion is associated with widespread lower integrity of major white matter tracts, that in turn helped to explain post-concussion symptom severity in 12–17.9-year-old adolescents. The effect of sleep on white matter integrity following concussion was significant after one week, suggesting that acute sleep interventions may need this time to begin to take effect. Our findings may suggest an important relationship between good quality of sleep in the days following concussion and integrity of major white matter tracts. Moving forward, researchers should evaluate the effectiveness of sleep interventions on white matter integrity and clinical outcomes following concussion.
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Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata JA, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp 2022; 43:56-82. [PMID: 32725849 PMCID: PMC8675426 DOI: 10.1002/hbm.25098] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
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Affiliation(s)
- Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Abraham Nunes
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christoph Abé
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of CaliforniaLa JollaCaliforniaUSA
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Pauline Favre
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
| | - Tomas Hajek
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- National Institute of Mental HealthKlecanyCzech Republic
| | - Unn K. Haukvik
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
| | - Josselin Houenou
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
- APHPMondor University Hospitals, DMU IMPACTCréteilFrance
| | - Mikael Landén
- Department of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tristram A. Lett
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
- Department of Neurology with Experimental NeurologyCharité Universitätsmedizin BerlinBerlinGermany
| | - Colm McDonald
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Melissa E. Pauling
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joaquim Radua
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Marcio G. Soeiro‐de‐Souza
- Mood Disorders Unit (GRUDA), Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloSPBrazil
| | - Giulia Tronchin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical CenterRotterdamThe Netherlands
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Henrik Walter
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
| | - Ling‐Li Zeng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- College of Intelligence Science and TechnologyNational University of Defense TechnologyChangshaChina
| | - Martin Alda
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Jorge Almeida
- Dell Medical SchoolThe University of Texas at AustinAustinTexasUSA
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Cara Altimus
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical FacultyTechnische Universität DresdenDresdenGermany
| | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryThe University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
- IMPACT Institute – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Amy C. Bilderbeck
- The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of MelbourneOrygenMelbourneVictoriaAustralia
- P1vital LtdWallingfordUK
| | | | - Erlend Bøen
- Mood Disorders Research ProgramYale School of MedicineNew HavenConnecticutUSA
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Paolo Brambilla
- Psychosomatic and CL PsychiatryOslo University HospitalOsloNorway
- Department of Neurosciences and Mental HealthFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
- Department of RadiologyCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Orwa Dandash
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityClaytonVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Danai Dima
- Department of Psychology, School of Social Sciences and ArtsCity, University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
- Department of NeurologyOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Scott C. Fears
- Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Greater Los Angeles Veterans AdministrationLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Melissa J. Green
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Oliver Gruber
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chantal Henry
- Department of PsychiatryService Hospitalo‐Universitaire, GHU Paris Psychiatrie & NeurosciencesParisFrance
- Université de ParisParisFrance
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | | | - Andreas Jansen
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgMarburgGermany
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Tilo T. J. Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Bernd Kramer
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Beny Lafer
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São PauloSão PauloSPBrazil
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
- Mood Disorders ProgramHospital Universitario Trastorno del ÁnimoMedellínColombia
| | - Rodrigo Machado‐Vieira
- Experimental Therapeutics and Molecular Pathophysiology Program, Department of PsychiatryUTHealth, University of TexasHoustonTexasUSA
| | - Bradley J. MacIntosh
- Hurvitz Brain SciencesSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Elisa M. T. Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Nenadic
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Fabiano Nery
- University of CincinnatiCincinnatiOhioUSA
- Universidade de São PauloSão PauloSPBrazil
| | | | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Department of PsychiatryErasmus Medical Center, Erasmus UniversityRotterdamThe Netherlands
| | - Miho Ota
- Department of Mental Disorder ResearchNational Institute of Neuroscience, National Center of Neurology and PsychiatryTokyoJapan
| | | | - Daniel L. Pham
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Mary L. Phillips
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Sara Poletti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mircea Polosan
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
- INSERM U1216 ‐ Grenoble Institut des NeurosciencesLa TroncheFrance
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Arnaud Pouchon
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
| | - Yann Quidé
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Maria M. Rive
- Department of PsychiatryAmsterdam UMC, location AMCAmsterdamThe Netherlands
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Aart H. Schene
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Jair C. Soares
- Center of Excellent on Mood DisordersUTHealth HoustonHoustonTexasUSA
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- SAMRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Georgios V. Thomaidis
- Papanikolaou General HospitalThessalonikiGreece
- Laboratory of Mechanics and MaterialsSchool of Engineering, Aristotle UniversityThessalonikiGreece
| | - Cristian Vargas Upegui
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Michèle Wessa
- Department of Neuropsychology and Clinical PsychologyJohannes Gutenberg‐University MainzMainzGermany
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | | | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Mon‐Ju Wu
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Carlos A. Zarate
- Chief Experimental Therapeutics & Pathophysiology BranchBethesdaMarylandUSA
- Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
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41
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Oppenheimer CW, Bertocci M, Greenberg T, Chase HW, Stiffler R, Aslam HA, Lockovich J, Graur S, Bebko G, Phillips ML. Informing the study of suicidal thoughts and behaviors in distressed young adults: The use of a machine learning approach to identify neuroimaging, psychiatric, behavioral, and demographic correlates. Psychiatry Res Neuroimaging 2021; 317:111386. [PMID: 34537601 PMCID: PMC8548992 DOI: 10.1016/j.pscychresns.2021.111386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 08/14/2021] [Accepted: 08/31/2021] [Indexed: 11/25/2022]
Abstract
Young adults are at high risk for suicide, yet there is limited ability to predict suicidal thoughts and behaviors. Machine learning approaches are better able to examine a large number of variables simultaneously to identify combinations of factors associated with suicidal thoughts and behaviors. The current study used LASSO regression to investigate extent to which a number of demographic, psychiatric, behavioral, and functional neuroimaging variables are associated with suicidal thoughts and behaviors during young adulthood. 78 treatment seeking young adults (ages 18-25) completed demographic, psychiatric, behavioral, and suicidality measures. Participants also completed an implicit emotion regulation functional neuroimaging paradigm. Report of recent suicidal thoughts and behaviors served as the dependent variable. Five variables were identified by the LASSO regression: Two were demographic variables (age and level of education), two were psychiatric variables (depression and general psychiatric distress), and one was a neuroimaging variable (left amygdala activity during sad faces). Amygdala function was significantly associated with suicidal thoughts and behaviors above and beyond the other factors. Findings inform the study of suicidal thoughts and behaviors among treatment seeking young adults, and also highlight the importance of investigating neurobiological markers.
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Affiliation(s)
- Caroline W Oppenheimer
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States.
| | - Michele Bertocci
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Tsafrir Greenberg
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Henry W Chase
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Richelle Stiffler
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Haris A Aslam
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Jeanette Lockovich
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Simona Graur
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Genna Bebko
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
| | - Mary L Phillips
- University of Pittsburgh, School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, United States
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42
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Nabulsi L, McPhilemy G, O'Donoghue S, Cannon DM, Kilmartin L, O'Hora D, Sarrazin S, Poupon C, D'Albis MA, Versace A, Delavest M, Linke J, Wessa M, Phillips ML, Houenou J, McDonald C. Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis. Cereb Cortex 2021; 32:2254-2264. [PMID: 34607352 DOI: 10.1093/cercor/bhab356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 11/14/2022] Open
Abstract
Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity. Here, we set out to perform a multisite graph theory analysis to assess the extent of neuroanatomical dysconnectivity in a large representative study of individuals with BD. This cross-sectional multicenter international study assessed structural and diffusion-weighted magnetic resonance imaging data obtained from 109 subjects with BD type 1 and 103 psychiatrically healthy volunteers. Whole-brain metrics, permutation-based statistics, and connectivity of highly connected nodes were used to compare network-level connectivity patterns in individuals with BD compared with controls. The BD group displayed longer characteristic path length, a weakly connected left frontotemporal network, and increased rich-club dysconnectivity compared with healthy controls. Our multisite findings implicate emotion and reward networks dysconnectivity in bipolar illness and may guide larger scale global efforts in understanding how human brain architecture impacts mood regulation in BD.
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Affiliation(s)
- Leila Nabulsi
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.,Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA
| | - Genevieve McPhilemy
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - Stefani O'Donoghue
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - Dara M Cannon
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - Liam Kilmartin
- College of Engineering and Informatics, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - Denis O'Hora
- School of Psychology, National University of Ireland Galway, Galway H91 TK33, Ireland
| | - Samuel Sarrazin
- APHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, DHU PePsy, INSERM U955, Equipe 15, Faculté de medicine de Créteil, Université Paris Est, Créteil, France.,NeuroSpin, CEA Saclay, Gif-Sur-Yvette, France
| | | | - Marc-Antoine D'Albis
- APHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, DHU PePsy, INSERM U955, Equipe 15, Faculté de medicine de Créteil, Université Paris Est, Créteil, France.,NeuroSpin, CEA Saclay, Gif-Sur-Yvette, France
| | - Amelia Versace
- Department of Psychiatry, Pittsburgh University Medicine School, Pittsburgh, PA, USA.,Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, PA, USA
| | - Marine Delavest
- APHP, GH Fernand Widal-Lariboisière, Service de psychiatrie, Paris, France
| | - Julia Linke
- Department of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, Mainz 55122, Germany
| | - Michèle Wessa
- Department of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, Mainz 55122, Germany
| | - Mary L Phillips
- Department of Psychiatry, Pittsburgh University Medicine School, Pittsburgh, PA, USA.,Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, PA, USA
| | - Josselin Houenou
- APHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, DHU PePsy, INSERM U955, Equipe 15, Faculté de medicine de Créteil, Université Paris Est, Créteil, France.,NeuroSpin, CEA Saclay, Gif-Sur-Yvette, France
| | - Colm McDonald
- Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland
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43
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Coffman BA, Torrence N, Murphy T, Bebko G, Graur S, Chase HW, Salisbury DF, Phillips ML. Trait sensation seeking is associated with heightened beta-band oscillatory dynamics over left ventrolateral prefrontal cortex during reward expectancy. J Affect Disord 2021; 292:67-74. [PMID: 34102550 DOI: 10.1016/j.jad.2021.05.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/14/2021] [Accepted: 05/21/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Sensation Seeking, the proclivity toward novel and stimulating experiences, is associated with greater left ventrolateral prefrontal cortex (vlPFC) activity during uncertain reward expectancy. Here, we examined relationships between sensation seeking and vlPFC oscillatory dynamics using electroencephalography (EEG). METHODS In 26 adolescents/young adults (16 female; 22.3 ± 1.7yrs), EEG was measured during uncertain reward expectancy. Event-related spectral perturbations (ERSP) from 15-80 Hz (beta/gamma bands) were compared as a function of uncertain reward expected value and assessed for relationships with feedback-related negativity (FRN) response to outcome feedback and response tendency measures of risk for BD. RESULTS Event-related synchronization (ERS) between 15-25 Hz (beta) over left vlPFC was sensitive to the expected value of uncertain reward (rho=0.46; p = 0.048), and correlated with sensation seeking (r = 0.49, p < 0.01) and feedback-related negativity (FRN), where greater beta ERS was related to larger FRN (r = -0.39, p = 0.047). FRN was also related to behavioral inhibition (r = 0.49, p < 0.01). LIMITATIONS It is unknown whether results may extrapolate to clinical populations, given the healthy sample used here. Further, although we have confidence that the beta-band signal we measure in this study arises from left prefrontal cortex, we largely infer a left vlPFC source. CONCLUSIONS These findings highlight the role of left vlPFC in evaluation of immediate rewards. We now provide a link between reward expectancy-related left vlPFC activity and the well-characterized FRN, with a known role in attentive processing. These findings can guide treatment development for mania/hypomania at-risk individuals, including transcranial alternating current stimulation.
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Affiliation(s)
- Brian A Coffman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
| | - Natasha Torrence
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Timothy Murphy
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Simona Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Dean F Salisbury
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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44
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Steele JS, Bertocci M, Eckstrand K, Chase HW, Stiffler R, Aslam H, Lockovich J, Bebko G, Phillips ML. A specific neural substrate predicting current and future impulsivity in young adults. Mol Psychiatry 2021; 26:4919-4930. [PMID: 33495543 PMCID: PMC8589683 DOI: 10.1038/s41380-021-01017-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 12/16/2020] [Accepted: 01/05/2021] [Indexed: 01/30/2023]
Abstract
Impulsivity (rash action with deleterious outcomes) is common to many psychiatric disorders. While some studies indicate altered amygdala and prefrontal cortical (PFC) activity associated with impulsivity, it remains unclear whether these patterns of neural activity are specific to impulsivity or common to a range of affective and anxiety symptoms. To elucidate neural markers specific to impulsivity, we aimed to differentiate patterns of amygdala-PFC activity and functional connectivity associated with impulsivity from those associated with affective and anxiety symptoms, and identify measures of this circuitry predicting future worsening of impulsivity. Using a face emotion processing task that reliably activates amygdala-PFC circuitry, neural activity and connectivity were assessed in a transdiagnostically-recruited sample of young adults, including healthy (N = 47) and treatment-seeking individuals (N = 67). Relationships were examined between neural measures and impulsivity, anhedonia, and affective and anxiety symptoms at baseline (N = 114), and at 6 months post scan (N = 30). Impulsivity, particularly negative urgency and lack of perseverance, was related to greater amygdala activity (beta = 0.82, p = 0.003; beta = 0.68, p = 0.004; respectively) and lower amygdala-medial PFC functional connectivity (voxels = 60, tpeak = 4.45, pFWE = 0.017; voxels = 335, tpeak = 5.26, pFWE = 0.001; respectively) to facial fear. Left vlPFC, but not amygdala, activity to facial anger was inversely associated with mania/hypomania (beta = -2.08, p = 0.018). Impulsivity 6 months later was predicted by amygdala activity to facial sadness (beta = 0.50, p = 0.017). There were no other significant relationships between neural activity and 6-month anhedonia, affective, and anxiety symptoms. Our findings are the first to associate amygdala-PFC activity and functional connectivity with impulsivity in a large, transdiagnostic sample, providing neural targets for future interventions to reduce predisposition to impulsivity and related future mental health problems in young adults.
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Affiliation(s)
- J Scott Steele
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
- Brain Imaging Research Center, Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Michele Bertocci
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kristen Eckstrand
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Richelle Stiffler
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Haris Aslam
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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45
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Phillips ML, Schmithorst VJ, Banihashemi L, Taylor M, Samolyk A, Northrup JB, English GE, Versace A, Stiffler RS, Aslam HA, Bonar L, Panigrahy A, Hipwell AE. Patterns of Infant Amygdala Connectivity Mediate the Impact of High Caregiver Affect on Reducing Infant Smiling: Discovery and Replication. Biol Psychiatry 2021; 90:342-352. [PMID: 34130856 PMCID: PMC8364485 DOI: 10.1016/j.biopsych.2021.03.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 02/13/2021] [Accepted: 03/21/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Behavioral research indicates that caregiver mood disorders and emotional instability in the early months following childbirth are associated with lower positive emotionality and higher negative emotionality in infants, but the neural mechanisms remain understudied. METHODS Using resting-state functional connectivity as a measure of the functional architecture of the early infant brain, we aimed to determine the extent to which connectivity between the amygdala, a key region supporting emotional learning and perception, and large-scale neural networks mediated the association between caregiver affect and anxiety and early infant negative emotionality and positive emotionality. Two samples of infants (first sample: n = 58; second sample: n = 31) 3 months of age underwent magnetic resonance imaging during natural sleep. RESULTS During infancy, greater resting-state functional connectivity between the amygdala and the salience network and, to a lesser extent, lower amygdala and executive control network resting-state functional connectivity mediated the effect of greater caregiver postpartum depression and trait anxiety on reducing infant smiling (familywise error-corrected p < .05). Furthermore, results from the first sample were replicated in the second, independent sample, to a greater extent for caregiver depression than for caregiver anxiety. CONCLUSIONS We provide evidence of early objective neural markers that can help identify infants who are more likely to be at risk from, versus those who might be protected against, the deleterious effects of caregiver depression and anxiety and reduced positive emotionality.
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Affiliation(s)
- Mary L. Phillips
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Vincent J. Schmithorst
- UPMC Children’s Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Layla Banihashemi
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | | | - Jessie B. Northrup
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | - Amelia Versace
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | | | - Lisa Bonar
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Ashok Panigrahy
- UPMC Children’s Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Alison E. Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
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46
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Braund TA, Breukelaar IA, Griffiths K, Tillman G, Palmer DM, Bryant R, Phillips ML, Harris AWF, Korgaonkar MS. Intrinsic Functional Connectomes Characterize Neuroticism in Major Depressive Disorder and Predict Antidepressant Treatment Outcomes. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 7:276-284. [PMID: 34363999 DOI: 10.1016/j.bpsc.2021.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/18/2021] [Accepted: 07/20/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Antidepressant efficacy in people with major depressive disorder (MDD) remains modest, yet identifying treatment predictive neurobiological markers may improve outcomes. While disruptions in functional connectivity within and between large-scale brain networks predict poorer treatment outcome, it is unclear whether higher trait neuroticism - which has been associated with generally poorer outcome - contributes to these disruptions and to antidepressant-specific treatment outcomes. Here, we used whole-brain functional connectivity analysis to identify a neural connectomic signature of neuroticism and tested whether this signature predicted antidepressant treatment outcome. METHOD Participants were 229 adults with MDD and 68 healthy controls who underwent functional MRI and were assessed on clinical features at baseline. MDD participants were then randomized to one of three commonly prescribed antidepressants and after 8 weeks completed a second functional MRI and were reassessed for depressive symptom remission/response. Baseline intrinsic functional connectivity between each pair of 436 brain regions were analysed using network-based statistics to identify connectomic features associated with neuroticism. Features were then assessed on their ability to predict treatment outcome and whether they changed after 8 weeks of treatment. RESULTS Higher baseline neuroticism was associated with greater connectivity within and between the salience, executive control, and somatomotor brain networks. Greater connectivity across these networks predicted poorer treatment outcome that was not mediated by baseline neuroticism, and connectivity strength decreased after antidepressant treatment. CONCLUSIONS Our findings demonstrate that neuroticism is associated with organization of intrinsic neural networks that predict treatment outcome, elucidating its biological underpinnings and opportunity for better treatment personalization.
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Affiliation(s)
- Taylor A Braund
- Brain Dynamics Centre, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Total Brain, Sydney, NSW, Australia.
| | - Isabella A Breukelaar
- Brain Dynamics Centre, The Westmead Institute for Medical Research, Sydney, NSW, Australia; School of Psychology, University of New South Wales, Sydney, Australia
| | - Kristi Griffiths
- Brain Dynamics Centre, The Westmead Institute for Medical Research, Sydney, NSW, Australia
| | - Gabriel Tillman
- School of Science, Psychology and Sport, Federation University, Australia
| | - Donna M Palmer
- Brain Dynamics Centre, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Total Brain, Sydney, NSW, Australia
| | - Richard Bryant
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Anthony W F Harris
- Brain Dynamics Centre, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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47
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Bertocci MA, Chase HW, Graur S, Stiffler R, Edmiston EK, Coffman BA, Greenberg BD, Phillips ML. The impact of targeted cathodal transcranial direct current stimulation on reward circuitry and affect in Bipolar Disorder. Mol Psychiatry 2021; 26:4137-4145. [PMID: 31664174 PMCID: PMC7188575 DOI: 10.1038/s41380-019-0567-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 09/24/2019] [Accepted: 10/17/2019] [Indexed: 02/07/2023]
Abstract
Bipolar Disorder is costly and debilitating, and many treatments have side effects. Transcranial Direct Current Stimulation (tDCS) is a well-tolerated neuromodulation technique that may be a useful treatment for Bipolar Disorder if targeted to neural regions implicated in the disorder. One potential region is the left ventrolateral prefrontal cortex (vlPFC), which shows abnormally elevated activity during reward expectancy in individuals with Bipolar Disorder. We used a counterbalanced repeated measures design to assess the impact of cathodal (inhibitory) tDCS over the left vlPFC on reward circuitry activity, functional connectivity, and affect in adults with Bipolar Disorder, as a step toward developing novel interventions for individuals with the disorder. -1mA cathodal tDCS was administered over the left vlPFC versus a control region, left somatosensory cortex, concurrently with neuroimaging. Affect was assessed pre and post scan in remitted Bipolar Disorder (n = 27) and age/gender-matched healthy (n = 31) adults. Relative to cathodal tDCS over the left somatosensory cortex, cathodal tDCS over the left vlPFC lowered reward expectancy-related left ventral striatal activity (F(1,51) = 9.61, p = 0.003), and was associated with lower negative affect post scan, controlling for pre-scan negative affect, (F(1,49) = 5.57, p = 0.02) in all participants. Acute cathodal tDCS over the left vlPFC relative to the left somatosensory cortex reduces reward expectancy-related activity and negative affect post tDCS. Build on these findings, future studies can determine whether chronic cathodal tDCS over the left vlPFC has sustained effects on mood in individuals with Bipolar Disorder, to guide new treatment developments for the disorder.
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Affiliation(s)
- MA Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - HW Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - S Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - R Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - EK Edmiston
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - BA Coffman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - BD Greenberg
- Department of Psychiatry, Brown University, Butler Hospital and Providence VA Medical Center, Providence, RI, USA
| | - ML Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Phillips ML, Kendler KS. Three Important Considerations for Studies Examining Pathophysiological Pathways in Psychiatric Illness: In-depth Phenotyping, Biological Assessment, and Causal Inferences. JAMA Psychiatry 2021; 78:697-698. [PMID: 33729431 DOI: 10.1001/jamapsychiatry.2021.0022] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond.,Department of Psychiatry, Virginia Commonwealth University, Richmond
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49
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Macoveanu J, Meluken I, Chase HW, Phillips ML, Kessing LV, Siebner HR, Vinberg M, Miskowiak KW. Reduced frontostriatal response to expected value and reward prediction error in remitted monozygotic twins with mood disorders and their unaffected high-risk co-twins. Psychol Med 2021; 51:1637-1646. [PMID: 32115012 DOI: 10.1017/s0033291720000367] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depressive episodes experienced in unipolar (UD) and bipolar (BD) disorders are characterized by anhedonia and have been associated with abnormalities in reward processes related to reward valuation and error prediction. It remains however unclear whether these deficits are associated with familial vulnerability to mood disorders. METHODS In a functional magnetic resonance imaging study, we evaluated differences in the expected value (EV) and reward prediction error (RPE) signals in ventral striatum (VS) and prefrontal cortex between three groups of monozygotic twins: affected twins in remission for either UD or BD (n = 53), their high-risk unaffected co-twins (n = 34), and low-risk twins with no family history of mood disorders (n = 25). RESULTS Compared to low-risk twins, affected twins showed lower EV signal bilaterally in the frontal poles and lower RPE signal bilaterally in the VS, left frontal pole and superior frontal gyrus. The high-risk group did not show a significant change in the EV or RPE signals in frontostriatal regions, yet both reward signals were consistently lower compared with low-risk twins in all regions where the affected twins showed significant reductions. CONCLUSION Our findings strengthen the notion that reduced valuation of expected rewards and reduced error-dependent reward learning may underpin core symptom of depression such as loss of interest in rewarding activities. The trend reduction in reward-related signals in unaffected co-twins warrants further investigation of this effect in larger samples and prospective follow-up to confirm possible association with increased familial vulnerability to mood disorders.
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Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Iselin Meluken
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
- Faculty of Medical and Health Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Kamilla W Miskowiak
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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50
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Lima Santos JP, Kontos AP, Mailliard S, Eagle SR, Holland CL, Suss SJ, Abdul-Waalee H, Stiffler RS, Bitzer HB, Blaney NA, Colorito AT, Santucci CG, Brown A, Kim T, Iyengar S, Skeba A, Diler RS, Ladouceur CD, Phillips ML, Brent D, Collins MW, Versace A. White Matter Abnormalities Associated With Prolonged Recovery in Adolescents Following Concussion. Front Neurol 2021; 12:681467. [PMID: 34248824 PMCID: PMC8264142 DOI: 10.3389/fneur.2021.681467] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/27/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Concussion symptoms in adolescents typically resolve within 4 weeks. However, 20 - 30% of adolescents experience a prolonged recovery. Abnormalities in tracts implicated in visuospatial attention and emotional regulation (i.e., inferior longitudinal fasciculus, ILF; inferior fronto-occipital fasciculus, IFOF; uncinate fasciculus; UF) have been consistently reported in concussion; yet, to date, there are no objective markers of prolonged recovery in adolescents. Here, we evaluated the utility of diffusion MRI in outcome prediction. Forty-two adolescents (12.1 - 17.9 years; female: 44.0%) underwent a diffusion Magnetic Resonance Imaging (dMRI) protocol within the first 10 days of concussion. Based on days of injury until medical clearance, adolescents were then categorized into SHORT (<28 days; N = 21) or LONG (>28 days; N = 21) recovery time. Fractional anisotropy (FA) in the ILF, IFOF, UF, and/or concussion symptoms were used as predictors of recovery time (SHORT, LONG). Forty-two age- and sex-matched healthy controls served as reference. Higher FA in the ILF (left: adjusted odds ratio; AOR = 0.36, 95% CI = 0.15 - 0.91, P = 0.030; right: AOR = 0.28, 95% CI = 0.10 - 0.83, P = 0.021), IFOF (left: AOR = 0.21, 95% CI = 0.07 - 0.66, P = 0.008; right: AOR = 0.30, 95% CI = 0.11 - 0.83, P = 0.020), and UF (left: AOR = 0.26, 95% CI = 0.09 - 0.74, P = 0.011; right: AOR = 0.28, 95% CI = 0.10 - 0.73, P = 0.010) was associated with SHORT recovery. In additional analyses, while adolescents with SHORT recovery did not differ from HC, those with LONG recovery showed lower FA in the ILF and IFOF (P < 0.014). Notably, inclusion of dMRI findings increased the sensitivity and specificity (AUC = 0.93) of a prediction model including clinical variables only (AUC = 0.75). Our findings indicate that higher FA in long associative tracts (especially ILF) might inform a more objective and accurate prognosis for recovery time in adolescents following concussion.
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Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Anthony P Kontos
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Sarrah Mailliard
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Shawn R Eagle
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Cynthia L Holland
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Stephen J Suss
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Halimah Abdul-Waalee
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Richelle S Stiffler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Hannah B Bitzer
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Nicholas A Blaney
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Adam T Colorito
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Christopher G Santucci
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Allison Brown
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Tae Kim
- Department of Radiology, Magnetic Resonance Research Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Satish Iyengar
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Alexander Skeba
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Rasim S Diler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Cecile D Ladouceur
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - David Brent
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States
| | - Michael W Collins
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center (UPMC) Sports Concussion Program-University of Pittsburgh, Pittsburgh, PA, United States
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA, United States.,Department of Radiology, Magnetic Resonance Research Center, University of Pittsburgh, Pittsburgh, PA, United States
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