Atypical Interpersonal Problem-Solving and Resting-state Functional Connectivity in Adolescents with Maltreatment Experience


Cite item

Full Text

Abstract

Background:Childhood maltreatment is associated with altered neurocognitive functioning, which is thought to reflect, in part, adaptation to early adverse environmental experiences. However, we continue to lack a precise mechanistic understanding linking atypical neurocognitive processing with social functioning and psychiatric outcomes following early adversity.

Objective:The present work investigated interpersonal problem-solving, resting-state functional connectivity (rsFC), and mental health symptoms in adolescents with documented maltreatment experience and explored whether altered neural function contributes in part to poorer social functioning.

Methods:Forty adolescents (aged 12-17) with documented experiences of abuse or neglect and a carefully matched group of 42 non-maltreated peers participated in this study that measured task-based interpersonal problem-solving skills and rsFC.

Results:Adolescents with maltreatment experience showed poorer interpersonal problem-solving performance, which partly accounted for their elevated mental health symptoms. Resting-state seed-based analyses revealed that adolescents with maltreatment experience showed a significant increase in rsFC between medial Default Mode Network (DMN) hubs, the medial prefrontal cortex (mPFC), with a posterior cluster, including the posterior cingulate cortex (PCC), precuneus (PCu), retrosplenial cortex (RSC), and lingual gyrus (LG). Moderation analyses revealed that maltreatment-related increased DMN rsFC partly accounted for poorer performance in interpersonal problem-solving.

Conclusion:Poorer interpersonal problem-solving, partly accounted for by atypical coupling between DMN medial hubs, was associated with maltreatment exposure. Interventions tailored to enhance interpersonal problem-solving represents a promising avenue to promote resilience and reduce the likelihood of mental health disorder following maltreatment experience.

About the authors

Mattia Gerin

Division of Psychology and Language Sciences, University College London

Author for correspondence.
Email: info@benthamscience.net

Essi Viding

Division of Psychology and Language Sciences, University College London

Email: info@benthamscience.net

Vanessa Puetz

Division of Psychology and Language Sciences, University College London

Email: info@benthamscience.net

Diana Armbruster-Genc

Division of Psychology and Language Sciences, University College London

Email: info@benthamscience.net

Georgia Rankin

Division of Psychology and Language Sciences, University College London

Email: info@benthamscience.net

Eamon McCrory

Division of Psychology and Language Sciences, University College London

Email: info@benthamscience.net

References

  1. Norman, R.E.; Byambaa, M.; De, R.; Butchart, A.; Scott, J.; Vos, T. The long-term health consequences of child physical abuse, emotional abuse, and neglect: A systematic review and meta-analysis. PLoS Med., 2012, 9(11), e1001349. doi: 10.1371/journal.pmed.1001349
  2. Gilbert, R.; Widom, C.S.; Browne, K.; Fergusson, D.; Webb, E.; Janson, S. Burden and consequences of child maltreatment in high-income countries. Lancet, 2009, 373(9657), 68-81. doi: 10.1016/S0140-6736(08)61706-7 PMID: 19056114
  3. Baldwin, J.R.; Caspi, A.; Meehan, A.J.; Ambler, A.; Arseneault, L.; Fisher, H.L.; Harrington, H.; Matthews, T.; Odgers, C.L.; Poulton, R.; Ramrakha, S.; Moffitt, T.E.; Danese, A. Population vs. Individual prediction of poor health from results of adverse childhood experiences screening. JAMA Pediatr., 2021, 175(4), 385-393. doi: 10.1001/jamapediatrics.2020.5602 PMID: 33492366
  4. McCrory, E.J.; Viding, E. The theory of latent vulnerability: Reconceptualizing the link between childhood maltreatment and psychiatric disorder. Dev. Psychopathol.,, 2015, 27(2), 493-505. doi: 10.1017/S0954579415000115 PMID: 25997767
  5. Hart, H.; Lim, L.; Mehta, M.A.; Simmons, A.; Mirza, K.A.H.; Rubia, K. Altered fear processing in adolescents with a history of severe childhood maltreatment: An fMRI study. Psychol. Med., 2018, 48(7), 1092-1101. doi: 10.1017/S0033291716003585 PMID: 29429419
  6. McCrory, E.J.; De Brito, S.A.; Sebastian, C.L.; Mechelli, A.; Bird, G.; Kelly, P.A.; Viding, E. Heightened neural reactivity to threat in child victims of family violence. Curr. Biol., 2011, 21(23), R947-R948. doi: 10.1016/j.cub.2011.10.015 PMID: 22153160
  7. Mehta, M.A.; Gore-Langton, E.; Golembo, N.; Colvert, E.; Williams, S.C.R.; Sonuga-Barke, E. Hyporesponsive reward anticipation in the basal ganglia following severe institutional deprivation early in life. J. Cogn. Neurosci., 2010, 22(10), 2316-2325. doi: 10.1162/jocn.2009.21394 PMID: 19929329
  8. Gerin, M.I.; Puetz, V.B.; Blair, R.J.R.; White, S.; Sethi, A.; Hoffmann, F.; Palmer, A.L.; Viding, E.; McCrory, E.J. A neurocomputational investigation of reinforcement-based decision making as a candidate latent vulnerability mechanism in maltreated children. Dev. Psychopathol., 2017, 29(5), 1689-1705. doi: 10.1017/S095457941700133X PMID: 29162176
  9. McLaughlin, K.A.; Sheridan, M.A.; Gold, A.L.; Duys, A.; Lambert, H.K.; Peverill, M.; Heleniak, C.; Shechner, T.; Wojcieszak, Z.; Pine, D.S. Maltreatment exposure, brain structure, and fear conditioning in children and adolescents. Neuropsychopharmacology, 2016, 41(8), 1956-1964. doi: 10.1038/npp.2015.365 PMID: 26677946
  10. Armbruster-Genç, D.J.N.; Valton, V.; Neil, L.; Vuong, V.; Freeman, Z.C.L.; Packer, K.C.; Kiffin, M.J.; Roiser, J.P.; Viding, E.; McCrory, E. Altered reward and effort processing in children with maltreatment experience: a potential indicator of mental health vulnerability. Neuropsychopharmacology, 2022, 47(5), 1063-1070. doi: 10.1038/s41386-022-01284-7 PMID: 35149765
  11. McCrory, E.J.; Puetz, V.B.; Maguire, E.A.; Mechelli, A.; Palmer, A.; Gerin, M.I.; Kelly, P.A.; Koutoufa, I.; Viding, E. Autobiographical memory: A candidate latent vulnerability mechanism for psychiatric disorder following childhood maltreatment. Br. J. Psychiatry, 2017, 211(4), 216-222. doi: 10.1192/bjp.bp.117.201798 PMID: 28882830
  12. Valentino, K.; Toth, S.L.; Cicchetti, D. Autobiographical memory functioning among abused, neglected, and nonmaltreated children: the overgeneral memory effect. J. Child Psychol. Psychiatry, 2009, 50(8), 1029-1038. doi: 10.1111/j.1469-7610.2009.02072.x PMID: 19490313
  13. Puetz, V.B.; Viding, E.; Hoffmann, F.; Gerin, M.I.; Sharp, M.; Rankin, G.; Maguire, E.A.; Mechelli, A.; McCrory, E.J. Autobiographical memory as a latent vulnerability mechanism following childhood maltreatment: Association with future depression symptoms and prosocial behavior. Dev. Psychopathol; , 2021, 33, pp. (4)1300-1307. doi: 10.1017/S0954579420000504 PMID: 32573399
  14. Puetz, V.B.; Viding, E.; Maguire, E.A.; Mechelli, A.; Armbruster-Genç, D.; Sharp, M.; Rankin, G.; Gerin, M.I.; McCrory, E.J. Functional brain plasticity following childhood maltreatment: A longitudinal fMRI investigation of autobiographical memory processing. Dev. Psychopathol., 2021, 1-8. doi: 10.1017/S0954579421001292 PMID: 34924093
  15. McLaughlin, K.A.; Peverill, M.; Gold, A.L.; Alves, S.; Sheridan, M.A. Child maltreatment and neural systems underlying emotion regulation. J. Am. Acad. Child Adolesc. Psychiatry, 2015, 54(9), 753-762. doi: 10.1016/j.jaac.2015.06.010 PMID: 26299297
  16. Cicchetti, D.; Rogosch, F.A.; Maughan, A.; Toth, S.L.; Bruce, J. False belief understanding in maltreated children. Dev. Psychopathol., 2003, 15(4), 1067-1091. doi: 10.1017/S0954579403000440 PMID: 14984138
  17. Neil, L.; Viding, E.; Armbruster-Genc, D.; Lisi, M.; Mareschal, I.; Rankin, G.; Sharp, M.; Phillips, H.; Rapley, J.; Martin, P.; McCrory, E. Trust and childhood maltreatment: evidence of bias in appraisal of unfamiliar faces. J. Child Psychol. Psychiatry, 2022, 63(6), 655-662. doi: 10.1111/jcpp.13503 PMID: 34500497
  18. McCrory, E.J.; Gerin, M.I.; Viding, E. Annual Research Review: Childhood maltreatment, latent vulnerability and the shift to preventative psychiatry - the contribution of functional brain imaging. J. Child Psychol. Psychiatry, 2017, 58(4), 338-357. doi: 10.1111/jcpp.12713 PMID: 28295339
  19. McCrory, E.; Foulkes, L.; Viding, E. Social thinning and stress generation after childhood maltreatment: A neurocognitive social transactional model of psychiatric vulnerability. Lancet Psychiatry, 2022, 9(10), 828-837. doi: 10.1016/S2215-0366(22)00202-4 PMID: 35926524
  20. Sperry, D.M.; Widom, C.S. Child abuse and neglect, social support, and psychopathology in adulthood: A prospective investigation. Child Abuse Negl., 2013, 37(6), 415-425. doi: 10.1016/j.chiabu.2013.02.006 PMID: 23562083
  21. Gerin, M.I.; Viding, E.; Pingault, J.B.; Puetz, V.B.; Knodt, A.R.; Radtke, S.R.; Brigidi, B.D.; Swartz, J.R.; Hariri, A.R.; McCrory, E.J. Heightened amygdala reactivity and increased stress generation predict internalizing symptoms in adults following childhood maltreatment. J. Child Psychol. Psychiatry, 2019, 60(7), 752-761. doi: 10.1111/jcpp.13041 PMID: 30933355
  22. Goemans, A.; Viding, E.; McCrory, E. Child maltreatment, peer victimization, and mental health: Neurocognitive perspectives on the cycle of victimization. Trauma Violence Abuse, 2023, 24(2), 530-548. doi: 10.1177/15248380211036393 PMID: 34355601
  23. D’Zurilla, T.J.; Nezu, A.M.; Maydeu-Olivares, A. Social problem solving: Theory and assessment. In: Social problem solving: Theory, research, and training; Chang, E.C.; D’Zurilla, T.J.; Sanna, L.C., Eds.; 11-27. American Psychological Association:: Washington, 2004; pp. 11-27. doi: 10.1037/10805-001
  24. Platt, J.J.; Spivack, G. Manual for the Means-Ends Problem-Solving Procedure (MEPS): A measure of interpersonal cognitive problem-solving skill; Hanhemann Community Mental Health/Mental Retardation Center: Philadelphia, 1975.
  25. D’Zurilla, T.J.; Maydeu-Olivares, A. Conceptual and methodological issues in social problem-solving assessment. Behav. Ther., 1995, 26(3), 409-432. doi: 10.1016/S0005-7894(05)80091-7
  26. Rudolph, K.D.; Heller, T.L. Interpersonal problem solving, externalizing behavior, and social competence in preschoolers: A knowledge-performance discrepancy? J. Appl. Dev. Psychol., 1997, 18(1), 107-117. doi: 10.1016/S0193-3973(97)90017-4
  27. Goodman, S.H.; Gravitt, G.W., Jr; Kaslow, N.J. Social problem solving: A moderator of the relation between negative life stress and depression symptoms in children. J. Abnorm. Child Psychol., 1995, 23(4), 473-485. doi: 10.1007/BF01447209 PMID: 7560557
  28. Raes, F.; Hermans, D.; Williams, J.M.G.; Demyttenaere, K.; Sabbe, B.; Pieters, G.; Eelen, P. Reduced specificity of autobiographical memory: A mediator between rumination and ineffective social problem-solving in major depression? J. Affect. Disord., 2005, 87(2-3), 331-335. doi: 10.1016/j.jad.2005.05.004 PMID: 15979154
  29. Williams, J.M.G.; Barnhofer, T.; Crane, C.; Beck, A.T. Problem solving deteriorates following mood challenge in formerly depressed patients with a history of suicidal ideation. J. Abnorm. Psychol., 2005, 114(3), 421-431. doi: 10.1037/0021-843X.114.3.421 PMID: 16117579
  30. Marx, E.M.; Williams, J.M.; Claridge, G.C. Depression and social problem solving. J. Abnorm. Psychol., 1992, 101(1), 78-86. doi: 10.1037/0021-843X.101.1.78 PMID: 1537977
  31. Sutherland, K.; Bryant, R.A. Social problem solving and autobiographical memory in posttraumatic stress disorder. Behav. Res. Ther., 2008, 46(1), 154-161. doi: 10.1016/j.brat.2007.10.005 PMID: 18022601
  32. Brown, A.D.; Kouri, N.A.; Rahman, N.; Joscelyne, A.; Bryant, R.A.; Marmar, C.R. Enhancing self-efficacy improves episodic future thinking and social-decision making in combat veterans with posttraumatic stress disorder. Psychiatry Res., 2016, 242, 19-25. doi: 10.1016/j.psychres.2016.05.026 PMID: 27236589
  33. Nezu, A.M.; Ronan, G.F. Social problem solving as a moderator of stress-related depressive symptoms: A prospective analysis. J. Couns. Psychol., 1988, 35(2), 134-138. doi: 10.1037/0022-0167.35.2.134
  34. Rubin, K.H.; Rose-Krasnor, L. Interpersonal Problem Solving and Social Competence in Children. In: Handbook of Social Development: A Lifespan Perspective; van Hasselt, V.B.; Hersen, M., Eds.; Plenum Press: New York, 1992; pp. 283-323. doi: 10.1007/978-1-4899-0694-6_12
  35. Channon, S.; Crawford, S. Mentalising and social problem-solving after brain injury. Neuropsychol. Rehabil., 2010, 20(5), 739-759. doi: 10.1080/09602011003794583 PMID: 20526955
  36. Channon, S.; Crawford, S.; Orlowska, D.; Parikh, N.; Thoma, P. Mentalising and social problem solving in adults with Asperger’s syndrome. Cogn. Neuropsychiatry, 2014, 19(2), 149-163. doi: 10.1080/13546805.2013.809659 PMID: 23875885
  37. Thoma, P.; Schmidt, T.; Juckel, G.; Norra, C.; Suchan, B. Nice or effective? Social problem solving strategies in patients with major depressive disorder. Psychiatry Res., 2015, 228(3), 835-842. doi: 10.1016/j.psychres.2015.05.015 PMID: 26051176
  38. Watkins, E.R.; Roberts, H. Reflecting on rumination: Consequences, causes, mechanisms and treatment of rumination. Behav. Res. Ther., 2020, 127, 103573. doi: 10.1016/j.brat.2020.103573 PMID: 32087393
  39. Fivush, R.; Nelson, K. Culture and language in the emergence of autobiographical memory. Psychol. Sci., 2004, 15(9), 573-577. doi: 10.1111/j.0956-7976.2004.00722.x PMID: 15327626
  40. Hughes, C.; Devine, R.T. Individual differences in theory of mind from preschool to adolescence: Achievements and directions. Child Dev. Perspect., 2015, 9(3), 149-153. doi: 10.1111/cdep.12124
  41. Buckner, R.L.; DiNicola, L.M. The brain’s default network: Updated anatomy, physiology and evolving insights. Nat. Rev. Neurosci., 2019, 20(10), 593-608. doi: 10.1038/s41583-019-0212-7 PMID: 31492945
  42. Andrews-Hanna, J.R.; Reidler, J.S.; Sepulcre, J.; Poulin, R.; Buckner, R.L. Functional-anatomic fractionation of the brain’s default network. Neuron, 2010, 65(4), 550-562. doi: 10.1016/j.neuron.2010.02.005 PMID: 20188659
  43. Andrews-Hanna, J.R.; Saxe, R.; Yarkoni, T. Contributions of episodic retrieval and mentalizing to autobiographical thought: Evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses. Neuroimage, 2014, 91, 324-335. doi: 10.1016/j.neuroimage.2014.01.032 PMID: 24486981
  44. Menon, V. Large-scale brain networks and psychopathology: A unifying triple network model. Trends Cogn. Sci., 2011, 15(10), 483-506. doi: 10.1016/j.tics.2011.08.003 PMID: 21908230
  45. Doucet, G.; Janiri, D.; Howard, R.; O’Brien, M.; Andrews-Hanna, J.; Frangou, S. Transdiagnostic abnormalities in the default-mode network in psychiatric disorders: A meta-analysis of resting-state functional imaging studies. Biol. Psychiatry, 2020, 87(9), S457. doi: 10.1016/j.biopsych.2020.02.1163 PMID: 32466812
  46. Spreng, R.N.; Andrews-Hanna, J.R. The Default Network and Social Cognition. In: Brain Mapping: An Encyclopedic Reference; Toga, A.W., Ed.; Academic Press, 2015; pp. 165-169. doi: 10.1016/B978-0-12-397025-1.00173-1
  47. Saris, I.M.J.; Penninx, B.W.J.H.; Dinga, R.; van Tol, M.J.; Veltman, D.J.; van der Wee, N.J.A.; Aghajani, M. Default mode network connectivity and social dysfunction in major depressive disorder. Sci. Rep., 2020, 10(1), 194. doi: 10.1038/s41598-019-57033-2 PMID: 31932627
  48. Kaiser, R.H.; Andrews-Hanna, J.R.; Wager, T.D.; Pizzagalli, D.A. Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity. JAMA Psychiatry, 2015, 72(6), 603-611. doi: 10.1001/jamapsychiatry.2015.0071 PMID: 25785575
  49. Li, W.; Mai, X.; Liu, C. The default mode network and social understanding of others: what do brain connectivity studies tell us. Front. Hum. Neurosci., 2014, 8(74), 74. doi: 10.3389/fnhum.2014.00074 PMID: 24605094
  50. Zhou, H.X.; Chen, X.; Shen, Y.Q.; Li, L.; Chen, N.X.; Zhu, Z.C.; Castellanos, F.X.; Yan, C.G. Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression. Neuroimage, 2020, 206, 116287. doi: 10.1016/j.neuroimage.2019.116287 PMID: 31655111
  51. Petersen, A.C.; Crockett, L.; Richards, M.; Boxer, A. A self-report measure of pubertal status: Reliability, validity, and initial norms. J. Youth Adolesc., 1988, 17(2), 117-133. doi: 10.1007/BF01537962 PMID: 24277579
  52. Kaufman, J.; Jones, B.; Stieglitz, E.; Vitulano, L.; Mannarino, A.P. The use of multiple informants to assess children’s maltreatment experiences. J. Fam. Violence, 1994, 9(3), 227-248. doi: 10.1007/BF01531949
  53. Wechsler, D. WAIS‐III administration and scoring manual; The Psychological Corporation: San Antonio, Texas, 1997. doi: 10.1177/1073191102009001003
  54. Ruff, R.M.; Light, R.H.; Parker, S.B.; Levin, H.S. Benton controlled oral word association test: Reliability and updated norms. Arch. Clin. Neuropsychol., 1996, 11(4), 329-338. doi: 10.1093/arclin/11.4.329 PMID: 14588937
  55. Tombaugh, T.; Kozak, J.; Rees, L. Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Arch. Clin. Neuropsychol., 1999, 14(2), 167-177. doi: 10.1016/S0887-6177(97)00095-4 PMID: 14590600
  56. Goodman, R. Psychometric properties of the strengths and difficulties questionnaire. J. Am. Acad. Child Adolesc. Psychiatry, 2001, 40(11), 1337-1345. doi: 10.1097/00004583-200111000-00015 PMID: 11699809
  57. Platt, J.J.; Spivack, G. Problem-solving thinking of psychiatric patients. J. Consult. Clin. Psychol., 1972, 39(1), 148-151. doi: 10.1037/h0033211 PMID: 5045271
  58. Platt, J.J.; Spivack, G.; Altman, N.; Altman, D.; Peizer, S.B. Adolescent problem-solving thinking. J. Consult. Clin. Psychol., 1974, 42(6), 787-793. doi: 10.1037/h0037564 PMID: 4436464
  59. Siegel, J.M.; Platt, J.J.; Peizer, S.B. Emotional and social real-life problem-solving thinking in adolescent and adult psychiatric patients. J. Clin. Psychol., 1976, 32(2), 230-232. doi: 10.1002/1097-4679(197604)32:23.0.CO;2-2 PMID: 1262480
  60. Thoma, P.; Friedmann, C.; Suchan, B. Empathy and social problem solving in alcohol dependence, mood disorders and selected personality disorders. Neurosci. Biobehav. Rev., 2013, 37(3), 448-470. doi: 10.1016/j.neubiorev.2013.01.024 PMID: 23396051
  61. Anderson, R.J.; Goddard, L.; Powell, J.H. Social problem-solving and depressive symptom vulnerability: The importance of real-life problem-solving performance. Cognit. Ther. Res., 2011, 35(1), 48-56. doi: 10.1007/s10608-009-9286-2
  62. Glazebrook, K.; Townsend, E.; Sayal, K. The role of attachment style in predicting repetition of adolescent self‐harm: A longitudinal study. Suicide Life Threat. Behav., 2015, 45(6), 664-678. doi: 10.1111/sltb.12159 PMID: 25845416
  63. Hawton, K.; Kingsbury, S.; Steinhardt, K.; James, A.; Fagg, J. Repetition of deliberate self-harm by adolescents: the role of psychological factors. J. Adolesc., 1999, 22(3), 369-378. doi: 10.1006/jado.1999.0228 PMID: 10462427
  64. Kremers, I.P.; Spinhoven, P.; Van der Does, A.J.W.; Van Dyck, R. Social problem solving, autobiographical memory and future specificity in outpatients with borderline personality disorder. Clin. Psychol. Psychother., 2006, 13(2), 131-137. doi: 10.1002/cpp.484
  65. Oldershaw, A.; Grima, E.; Jollant, F.; Richards, C.; Simic, M.; Taylor, L.; Schmidt, U. Decision making and problem solving in adolescents who deliberately self-harm. Psychol. Med., 2009, 39(1), 95-104. doi: 10.1017/S0033291708003693 PMID: 18570698
  66. D’Zurilla, T.J.; Goldfried, M.R. Problem solving and behavior modification. J. Abnorm. Psychol., 1971, 78(1), 107-126. doi: 10.1037/h0031360 PMID: 4938262
  67. Ridout, N.; Matharu, M.; Sanders, E.; Wallis, D.J. The influence of eating psychopathology on autobiographical memory specificity and social problem-solving. Psychiatry Res., 2015, 228(3), 295-303. doi: 10.1016/j.psychres.2015.06.030 PMID: 26144580
  68. Whitfield-Gabrieli, S.; Nieto-Castanon, A. Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect., 2012, 2(3), 125-141. doi: 10.1089/brain.2012.0073 PMID: 22642651
  69. Friston, K.J.; Ashburner, J.; Kiebel, S.; Nichols, T.; Penny, W. Statistical parametric mapping: The analysis of functional brain images. Statistical Parametric Mapping: The Analysis of Functional Brain Images; Elsevier Ltd: London, 2006. doi: 10.1016/B978-0-12-372560-8.X5000-1
  70. Power, J.D.; Barnes, K.A.; Snyder, A.Z.; Schlaggar, B.L.; Petersen, S.E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage, 2012, 59(3), 2142-2154. doi: 10.1016/j.neuroimage.2011.10.018 PMID: 22019881
  71. Power, J.D.; Mitra, A.; Laumann, T.O.; Snyder, A.Z.; Schlaggar, B.L.; Petersen, S.E. Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage, 2014, 84, 320-341. doi: 10.1016/j.neuroimage.2013.08.048 PMID: 23994314
  72. Behzadi, Y.; Restom, K.; Liau, J.; Liu, T.T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage, 2007, 37(1), 90-101. doi: 10.1016/j.neuroimage.2007.04.042 PMID: 17560126
  73. Muschelli, J.; Nebel, M.B.; Caffo, B.S.; Barber, A.D.; Pekar, J.J.; Mostofsky, S.H. Reduction of motion-related artifacts in resting state fMRI using aCompCor. Neuroimage, 2014, 96, 22-35. doi: 10.1016/j.neuroimage.2014.03.028 PMID: 24657780
  74. Friston, K.J.; Williams, S.; Howard, R.; Frackowiak, R.S.J.; Turner, R. Movement-Related effects in fMRI time-series. Magn. Reson. Med., 1996, 35(3), 346-355. doi: 10.1002/mrm.1910350312 PMID: 8699946
  75. Nieto-Castanon, A. Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN; Hilbert Press, 2020. doi: 10.56441/hilbertpress.2207.6598
  76. Rosseel, Y. Lavaan: An R package for structural equation modeling. J. Stat. Softw., 2012, 48(2), 1-36. doi: 10.18637/jss.v048.i02
  77. Little, G.; Reynolds, J.; Beaulieu, C. Altered functional connectivity observed at rest in children and adolescents prenatally exposed to alcohol. Brain Connect., 2018, 8(8), 503-515. doi: 10.1089/brain.2017.0572 PMID: 30289280
  78. Roiser, J.P.; Linden, D.E.; Gorno-Tempini, M.L.; Moran, R.J.; Dickerson, B.C.; Grafton, S.T. Minimum statistical standards for submissions to Neuroimage: Clinical. Neuroimage Clin., 2016, 12, 1045-1047. doi: 10.1016/j.nicl.2016.08.002 PMID: 27995071
  79. Brown, A.D.; Dorfman, M.L.; Marmar, C.R.; Bryant, R.A. The impact of perceived self-efficacy on mental time travel and social problem solving. Conscious. Cogn., 2012, 21(1), 299-306. doi: 10.1016/j.concog.2011.09.023 PMID: 22019214
  80. Barnes, T.N.; Wang, F.; O’Brien, K.M. A meta-analytic review of social problem-solving interventions in preschool settings. Infant Child Dev., 2018, 27(5), e2095. doi: 10.1002/icd.2095
  81. Merrill, K.L.; Smith, S.W.; Cumming, M.M.; Daunic, A.P. A review of social problem-solving interventions. Rev. Educ. Res., 2017, 87(1), 71-102. doi: 10.3102/0034654316652943
  82. Cuijpers, P.; de Wit, L.; Kleiboer, A.; Karyotaki, E.; Ebert, D.D. Problem-solving therapy for adult depression: An updated meta-analysis. Eur. Psychiatry, 2018, 48(1), 27-37. doi: 10.1016/j.eurpsy.2017.11.006 PMID: 29331596
  83. Zhang, A.; Park, S.; Sullivan, J.E.; Jing, S. The effectiveness of problem-solving therapy for primary care patients’ depressive and/or anxiety disorders: A systematic review and meta-analysis. J. Am. Board Fam. Med., 2018, 31(1), 139-150. doi: 10.3122/jabfm.2018.01.170270 PMID: 29330248
  84. Whitfield-Gabrieli, S.; Ford, J.M. Default mode network activity and connectivity in psychopathology. Annu. Rev. Clin. Psychol., 2012, 8, 49-76. doi: 10.1146/annurev-clinpsy-032511-143049
  85. Vandermorris, S.; Sheldon, S.; Winocur, G.; Moscovitch, M. Differential contributions of executive and episodic memory functions to problem solving in younger and older adults. J. Int. Neuropsychol. Soc., 2013, 19(10), 1087-1096. doi: 10.1017/S1355617713000982 PMID: 24044692
  86. Danese, A.; Moffitt, T.E.; Arseneault, L.; Bleiberg, B.A.; Dinardo, P.B.; Gandelman, S.B.; Houts, R.; Ambler, A.; Fisher, H.L.; Poulton, R.; Caspi, A. The origins of cognitive deficits in victimized children: Implications for neuroscientists and clinicians. Am. J. Psychiatry, 2017, 174(4), 349-361. doi: 10.1176/appi.ajp.2016.16030333 PMID: 27794691
  87. Spivack, G.; Platt, J.J.; Shure, M.B. The Problem Solving Approach to Adjustment, 1st ed; Jossey-Bass: San Francisco, 1976.
  88. D’Zurilla, T.J.; Nezu, A.M. Development and preliminary evaluation of the social problem-solving inventory. Psychol. Assess., 1990, 2(2), 156-163. doi: 10.1037/1040-3590.2.2.156
  89. Barry, T.J.; Sze, W.Y.; Raes, F. A meta-analysis and systematic review of Memory Specificity Training (MeST) in the treatment of emotional disorders. Behav. Res. Ther., 2019, 116, 36-51. doi: 10.1016/j.brat.2019.02.001 PMID: 30776658
  90. Dugas, M.J.; Koerner, N. Cognitive-behavioral treatment for generalized anxiety disorder: Current status and future directions. J. Cogn. Psychother., 2005, 19(1), 61-81. doi: 10.1891/jcop.19.1.61.66326
  91. Bell, A.C.; D’Zurilla, T.J. Problem-solving therapy for depression: A meta-analysis. Clin. Psychol. Rev., 2009, 29(4), 348-353. doi: 10.1016/j.cpr.2009.02.003 PMID: 19299058
  92. Nezu, A.M.; Nezu, C.M. Problem-solving therapy for relapse prevention in depression; Relapse Prevention for Depression, 2010, pp. 99-130. doi: 10.1037/12082-004

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

Copyright (c) 2024 Bentham Science Publishers