본문 바로가기
KERD
논문KCI 등재

Behavioral Activation and Brain Network Changes in Depression

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Behavioral activation (BA) is a well-established method of evidence-based treatment for depression. There are clear links between the neural mechanisms underlying reward processing and BA treatment for depressive symptoms, including anhedonia; however, integrated interpretations of these two domains are lacking. Here we examine brain imaging studies involving BA treatments to investigate how changes in brain networks, including the reward networks, mediate the therapeutic effects of BA, and whether brain circuits are predictors of BA treatment responses. Increased activation of the prefrontal and subcortical regions associated with reward processing has been reported after BA treatment. Activation of these regions improves anhedonia. Conversely, some studies have found decreased activation of prefrontal regions after BA treatment in response to cognitive control stimuli in sad contexts, which indicates that the therapeutic mechanism of BA may involve disengagement from negative or sad contexts. Furthermore, the decrease in resting-state functional connectivity of the default-mode network after BA treatment appears to facilitate the ability to counteract depressive rumination, thereby promoting enjoyable and valuable activities. Conflicting results suggest that an intact neural response to rewards or defective reward functioning is predictive of the efficacy of BA treatments. Increasing the benefits of BA treatments requires identification of the unique individual characteristics determining which of these conflicting findings are relevant for the personalized treatment of each individual with depression.

Abstract

Behavioral activation (BA) is a well-established method of evidence-based treatment for depression. There are clear links between the neural mechanisms underlying reward processing and BA treatment for depressive symptoms, including anhedonia; however, integrated interpretations of these two domains are lacking. Here we examine brain imaging studies involving BA treatments to investigate how changes in brain networks, including the reward networks, mediate the therapeutic effects of BA, and whether brain circuits are predictors of BA treatment responses. Increased activation of the prefrontal and subcortical regions associated with reward processing has been reported after BA treatment. Activation of these regions improves anhedonia. Conversely, some studies have found decreased activation of prefrontal regions after BA treatment in response to cognitive control stimuli in sad contexts, which indicates that the therapeutic mechanism of BA may involve disengagement from negative or sad contexts. Furthermore, the decrease in resting-state functional connectivity of the default-mode network after BA treatment appears to facilitate the ability to counteract depressive rumination, thereby promoting enjoyable and valuable activities. Conflicting results suggest that an intact neural response to rewards or defective reward functioning is predictive of the efficacy of BA treatments. Increasing the benefits of BA treatments requires identification of the unique individual characteristics determining which of these conflicting findings are relevant for the personalized treatment of each individual with depression.

참고문헌 (171)

  1. Dimidjian S, "The origins and current status of behavioral activation treatments for depression", Annu Rev Clin Psychol, 7, pp.1~38 (2011)
  2. Dimidjian S, "Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the acute treatment of adults with major depression", J Consult Clin Psychol, 74, pp.658~670 (2006)
  3. Dobson KS, "Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the prevention of relapse and recurrence in major depression", J Consult Clin Psychol, 76, pp.468~477 (2008)
  4. Gawrysiak M, "Behavioral activation for moderately depressed university students : randomized controlled trial", J Couns Psychol, 56, pp.468~475 (2009)
  5. Jacobson NS, "Can depression be de-medicalized in the 21st century : scientific revolutions, counter-revolutions and the magnetic field of normal science", Behav Res Ther, 38, pp.103~117 (2000)
  6. McCauley E, "The adolescent behavioral activation program : adapting behavioral activation as a treatment for depression in adolescence", J Clin Child Adolesc Psychol, 45, pp.291~304 (2016)
  7. Cuijpers P, "Behavioral activation treatments of depression : a meta-analysis", Clin Psychol Rev, 27, pp.318~326 (2007)
  8. Ekers D, "Behavioural activation for depression; an update of meta-analysis of effectiveness and sub group analysis", PLoS One, 9, pp.e100100~ (2014)
  9. Mazzucchelli T, "Behavioral activation treatments for depression in adults : a meta-analysis and review", Clin Psychol Sci Pract, 16, pp.383~411 (2009)
  10. Tindall L, "Is behavioural activation effective in the treatment of depression in young people? A systematic review and meta-analysis", Psychol Psychother, 90, pp.770~796 (2017)
  11. Martin F, "Behavioral activation for children and adolescents : a systematic review of progress and promise", Eur Child Adolesc Psychiatry, 28, pp.427~441 (2019)
  12. Kazdin AE, "Treatment outcomes, common factors, and continued neglect of mechanisms of change", Clin Psychol Sci Pract, 12, pp.184~188 (2005)
  13. Sankar A, "A systematic review and meta-analysis of the neural correlates of psychological therapies in major depression", Psychiatry Res Neuroimaging, 279, pp.31~39 (2018)
  14. Chalah MA, "Disentangling the neural basis of cognitive behavioral therapy in psychiatric disorders : a focus on depression", Brain Sci, 8, pp.150~ (2018)
  15. Franklin G, "Cognitive behavioural therapy for depression : systematic review of imaging studies", Acta Neuropsychiatr, 28, pp.61~74 (2016)
  16. Ball TM, "Toward the application of functional neuroimaging to individualized treatment for anxiety and depression", Depress Anxiety, 31, pp.920~933 (2014)
  17. Tanguay-Sela M, "A systematic meta-review of patient-level predictors of psychological therapy outcome in major depressive disorder", J Affect Disord, 317, pp.307~318 (2022)
  18. Chakrabarty T, "Predictive neuroimaging markers of psychotherapy response : a systematic review", Harv Rev Psychiatry, 24, pp.396~405 (2016)
  19. Seeberg I, "Neural and behavioral predictors of treatment efficacy on mood symptoms and cognition in mood disorders : a systematic review", Front Psychiatry, 9, pp.337~ (2018)
  20. Treadway MT, "Reconsidering anhedonia in depression : lessons from translational neuroscience", Neurosci Biobehav Rev, 35, pp.537~555 (2011)
  21. Forbes CN, "New directions in behavioral activation : using findings from basic science and translational neuroscience to inform the exploration of potential mechanisms of change", Clin Psychol Rev, 79, pp.101860~ (2020)
  22. Ferster CB, "A functional anlysis of depression", Am Psychol, 28, pp.857~870 (1973)
  23. Lewinsohn PM, "The psychology of depression", pp.157~174 (1974), John Wiley & Sons
  24. Lewinsohn PM, "Use of home observations as an integral part of the treatment of depression; preliminary report and case studies", J Consult Clin Psychol, 37, pp.87~94 (1971)
  25. Beck AT, "Cognitive therapy of depression" (1979), Guilford Press
  26. Jacobson NS, "A component analysis of cognitive-behavioral treatment for depression", J Consult Clin Psychol, 64, pp.295~304 (1996)
  27. Gortner ET, "Cognitive-behavioral treatment for depression : relapse prevention", J Consult Clin Psychol, 66, pp.377~384 (1998)
  28. Jacobson NS, "Behavioral activation treatment for depression : returning to contextual roots", Clin Psychol Sci Pract, 8, pp.255~270 (2001)
  29. Martell CR, "Depression in context : strategies for guided action" (2001), W. W. Norton & Company
  30. Martell CR, "Behavioral activation for depression : a clinician’s guide" (2010), Guilford Press
  31. Hayes SC, "Acceptance and commitment therapy" (1999), Guilford Press
  32. Lewinsohn PM, "The psychobiology of the depressive disorders: implications for the effects of stress", pp.291~316 (1979), Academic Press
  33. Kanter JW, "What is behavioral activation? A review of the empirical literature", Clin Psychol Rev, 30, pp.608~620 (2010)
  34. Lewinsohn PM, "Behavioral management of anxiety, depression and pain", pp.1976, Brunner
  35. Rehm LP, "A self-control model of depression", Behav Ther, 8, pp.787~804 (1977)
  36. McLean P, "The behavioral management of anxiety, depression and pain", pp.1976, Brunner
  37. Gallagher-Thompson D, "Depression in the elderly: a behavioral treatment manual" (1981), University of Southern California Press
  38. Lejuez CW, "A brief behavioral activation treatment for depression. Treatment manual", Behav Modif, 25, pp.255~286 (2001)
  39. National Institute for Health and Care Excellence, "Depression in adults: treatment and management" (2022), National Institute for Health and Care Excellence
  40. Parikh SV, "Canadian network for mood and anxiety treatments(CANMAT)2016 clinical guidelines for the management of adults with major depressive disorder : section 2. Psychological treatments", Can J Psychiatry, 61, pp.524~539 (2016)
  41. Scottish Intercollegiate Guidelines Network, "Non-pharmaceutical management of depression in adults: a national clinical guideline", Scottish Intercollegiate Guidelines Network, ~ (2010)
  42. Dunn BD, "Changes in positive and negative affect during pharmacological treatment and cognitive therapy for major depressive disorder : a secondary analysis of two randomized controlled trials", Clin Psychol Sci, 8, pp.36~51 (2020)
  43. Argyropoulos SV, "Anhedonia revisited : is there a role for dopamine-targeting drugs for depression?", J Psychopharmacol, 27, pp.869~877 (2013)
  44. Nagy GA, "Reward network modulation as a mechanism of change in behavioral activation", Behav Modif, 44, pp.186~213 (2020)
  45. Carl H, "Sustained anterior cingulate cortex activation during reward processing predicts response to psychotherapy in major depressive disorder", J Affect Disord, 203, pp.204~212 (2016)
  46. Alsayednasser B, "How well do cognitive behavioural therapy and behavioural activation for depression repair anhedonia? A secondary analysis of the COBRA randomized controlled trial", Behav Res Ther, 159, pp.104185~ (2022)
  47. Webb CA, "Dynamic processes in behavioral activation therapy for anhedonic adolescents : modeling common and patient-specific relations", J Consult Clin Psychol (2023)[DOI]
  48. Watson R, "A qualitative study exploring adolescents’ experience of brief behavioural activation for depression and its impact on the symptom of anhedonia", Psychol Psychother, 94, pp.266~288 (2021)
  49. Halahakoon DC, "Reward-processing behavior in depressed participants relative to healthy volunteers : a systematic review and meta-analysis", JAMA Psychiatry, 77, pp.1286~1295 (2020)
  50. Haber SN, "The reward circuit : linking primate anatomy and human imaging", Neuropsychopharmacology, 35, pp.4~26 (2010)
  51. Höflich A, "Circuit mechanisms of reward, anhedonia, and depression", Int J Neuropsychopharmacol, 22, pp.105~118 (2019)
  52. Borsini A, "Characterizing anhedonia : a systematic review of neuroimaging across the subtypes of reward processing deficits in depression", Cogn Affect Behav Neurosci, 20, pp.816~841 (2020)
  53. Heshmati M, "Anhedonia and the brain reward circuitry in depression", Curr Behav Neurosci Rep, 2, pp.146~153 (2015)
  54. Ng TH, "Meta-analysis of reward processing in major depressive disorder reveals distinct abnormalities within the reward circuit", Transl Psychiatry, 9, pp.293~ (2019)
  55. Der-Avakian A, "The neurobiology of anhedonia and other reward-related deficits", Trends Neurosci, 35, pp.68~77 (2012)
  56. Treadway MT, "Parsing anhedonia : translational models of reward-processing deficits in psychopathology", Curr Dir Psychol Sci, 22, pp.244~249 (2013)
  57. Treadway MT, "The neurobiology of motivational deficits in depression—an update on candidate pathomechanisms", Curr Top Behav Neurosci, 27, pp.337~355 (2016)
  58. Wang S, "Anhedonia as a central factor in depression : neural mechanisms revealed from preclinical to clinical evidence", Prog Neuropsychopharmacol Biol Psychiatry, 110, pp.110289~ (2021)
  59. Husain M, "Neuroscience of apathy and anhedonia : a transdiagnostic approach", Nat Rev Neurosci, 19, pp.470~484 (2018)
  60. Schultz W, "Neuronal reward and decision signals : from theories to data", Physiol Rev, 95, pp.853~951 (2015)
  61. Keren H, "Reward processing in depression : a conceptual and meta-analytic review across fMRI and EEG studies", Am J Psychiatry, 175, pp.1111~1120 (2018)
  62. Yang X, "Neurofunctional mapping of reward anticipation and outcome for major depressive disorder : a voxel-based meta-analysis", Psychol Med, 52, pp.3309~3322 (2022)
  63. Xie C, "Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms", Biol Psychiatry Cogn Neurosci Neuroimaging, 6, pp.259~269 (2021)
  64. Young CB, "Anhedonia and general distress show dissociable ventromedial prefrontal cortex connectivity in major depressive disorder", Transl Psychiatry, 6, pp.e810~ (2016)
  65. Faramarzi A, "Anhedonia symptoms : the assessment of brain functional mechanism following music stimuli using functional magnetic resonance imaging", Psychiatry Res Neuroimaging, 326, pp.111532~ (2022)
  66. Liu X, "Characterizing the subtype of anhedonia in major depressive disorder : a symptom-specific multimodal MRI study", Psychiatry Res Neuroimaging, 308, pp.111239~ (2021)
  67. Yang XH, "Diminished caudate and superior temporal gyrus responses to effort-based decision making in patients with first-episode major depressive disorder", Prog Neuropsychopharmacol Biol Psychiatry, 64, pp.52~59 (2016)
  68. Hu Y, "Abnormal functional connectivity of the nucleus accumbens subregions mediates the association between anhedonia and major depressive disorder", BMC Psychiatry, 23, pp.282~ (2023)
  69. Carver CS, "Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment : the BIS", BAS scales, 1994, pp.67, 319~333
  70. Sharma A, "Common dimensional reward deficits across mood and psychotic disorders : a connectome-wide association study", Am J Psychiatry, 174, pp.657~666 (2017)
  71. Hwang JW, "Enhanced default mode network connectivity with ventral striatum in subthreshold depression individuals", J Psychiatr Res, 76, pp.111~120 (2016)
  72. Enneking V, "Social anhedonia in major depressive disorder : a symptom-specific neuroimaging approach", Neuropsychopharmacology, 44, pp.883~889 (2019)
  73. Lu S, "Increased plasma levels of IL-6 are associated with striatal structural atrophy in major depressive disorder patients with anhedonia", Front Psychiatry, 13, pp.1016735~ (2022)
  74. Pizzagalli DA, "Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder", Am J Psychiatry, 166, pp.702~710 (2009)
  75. Yang XH, "White matter microstructural abnormalities and their association with anticipatory anhedonia in depression", Psychiatry Res Neuroimaging, 264, pp.29~34 (2017)
  76. Wacker J, "The role of the nucleus accumbens and rostral anterior cingulate cortex in anhedonia : integration of resting EEG, fMRI, and volumetric techniques", Neuroimage, 46, pp.327~337 (2009)
  77. Mu Q, "Volume changes of the subcortical limbic structures in major depressive disorder patients with and without anhedonia", Psychiatry Res Neuroimaging, 336, pp.111747~ (2023)
  78. Dillon DG, "Depression is associated with dimensional and categorical effects on white matter pathways", Depress Anxiety, 35, pp.440~447 (2018)
  79. Kim MJ, "Reduced caudate gray matter volume in women with major depressive disorder", Psychiatry Res, 164, pp.114~122 (2008)
  80. Harvey PO, "Individual differences in trait anhedonia : a structural and functional magnetic resonance imaging study in non-clinical subjects", Mol Psychiatry, 12, pp.767~775 (2007)
  81. Auerbach RP, "Neuroanatomical prediction of anhedonia in adolescents", Neuropsychopharmacology, 42, pp.2087~2095 (2017)
  82. Dichter GS, "The effects of psychotherapy on neural responses to rewards in major depression", Biol Psychiatry, 66, pp.886~897 (2009)
  83. Hopko DR, "Contemporary behavioral activation treatments for depression : procedures, principles, and progress", Clin Psychol Rev, 23, pp.699~717 (2003)
  84. Dichter GS, "The effects of brief behavioral activation therapy for depression on cognitive control in affective contexts : an fMRI investigation", J Affect Disord, 126, pp.236~244 (2010)
  85. Norbury R, "Shortterm antidepressant treatment and facial processing. Functional magnetic resonance imaging study", Br J Psychiatry, 190, pp.531~532 (2007)
  86. Fu CH, "Attenuation of the neural response to sad faces in major depression by antidepressant treatment : a prospective, event-related functional magnetic resonance imaging study", Arch Gen Psychiatry, 61, pp.877~889 (2004)
  87. Fales CL, "Antidepressant treatment normalizes hypoactivity in dorsolateral prefrontal cortex during emotional interference processing in major depression", J Affect Disord, 112, pp.206~211 (2009)
  88. Langenecker SA, "Frontal and limbic activation during inhibitory control predicts treatment response in major depressive disorder", Biol Psychiatry, 62, pp.1272~1280 (2007)
  89. Miskowiak KW, "Effects of erythropoietin on emotional processing biases in patients with major depression : an exploratory fMRI study", Psychopharmacology(Berl), 207, pp.133~142 (2009)
  90. Benedetti F, "Changes in medial prefrontal cortex neural responses parallel successful antidepressant combination of venlafaxine and light therapy", Arch Ital Biol, 147, pp.83~93 (2009)
  91. Wagner V, "Changes in the emotional processing in depressive patients: a study with functional magnetoresonance tomography under the employment of pictures with affective contents", Psychiatr Prax, 31(Suppl 1), pp.S70~S72 (2004)
  92. Davidson RJ, "Affective neuroscience and psychophysiology : toward a synthesis", Psychophysiology, 40, pp.655~665 (2003)
  93. Beauregard M, "The functional neuroanatomy of major depression : an fMRI study using an emotional activation paradigm", Neuroreport, 9, pp.3253~3258 (1998)
  94. Mori A, "Behavioral activation can normalize neural hypoactivation in subthreshold depression during a monetary incentive delay task", J Affect Disord, 189, pp.254~262 (2016)
  95. Wang L, "Prefrontal mechanisms for executive control over emotional distraction are altered in major depression", Psychiatry Res, 163, pp.143~155 (2008)
  96. Jacobs BL, "Depression : the brain finally gets into the act", Curr Dir Psychol Sci, 13, pp.103~106 (2004)
  97. Dimidjian S, "Clinical handbook of psychological disorders: a step-by-step treatment manual", pp.328~364 (2008), Guildford Press
  98. Stoy M, "Hyporeactivity of ventral striatum towards incentive stimuli in unmedicated depressed patients normalizes after treatment with escitalopram", J Psychopharmacol, 26, pp.677~688 (2012)
  99. Shiota S, "Effects of behavioural activation on the neural basis of other perspective self-referential processing in subthreshold depression : a functional magnetic resonance imaging study", Psychol Med, 47, pp.877~888 (2017)
  100. Yoshimura S, "Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing", Soc Cogn Affect Neurosci, 9, pp.487~493 (2014)
  101. Kuzmanovic B, "The role of the neural reward circuitry in self-referential optimistic belief updates", Neuroimage, 133, pp.151~162 (2016)
  102. Yokoyama S, "Effects of behavioral activation on default mode network connectivity in subthreshold depression : a preliminary resting-state fMRI study", J Affect Disord, 227, pp.156~163 (2018)
  103. Seeley WW, "Dissociable intrinsic connectivity networks for salience processing and executive control", J Neurosci, 27, pp.2349~2356 (2007)
  104. Menon V, "Saliency, switching, attention and control : a network model of insula function", Brain Struct Funct, 214, pp.655~667 (2010)
  105. Li B, "A treatmentresistant default mode subnetwork in major depression", Biol Psychiatry, 74, pp.48~54 (2013)
  106. Sundermann B, "Toward literature-based feature selection for diagnostic classification : a metaanalysis of resting-state fMRI in depression", Front Hum Neurosci, 8, pp.692~ (2014)
  107. Zeng LL, "Neurobiological basis of head motion in brain imaging", Proc Natl Acad Sci U S A, 111, pp.6058~6062 (2014)
  108. Zeng LL, "Unsupervised classification of major depression using functional connectivity MRI", Hum Brain Mapp, 35, pp.1630~1641 (2014)
  109. Zhou HX, "Rumination and the default mode network : meta-analysis of brain imaging studies and implications for depression", Neuroimage, 206, pp.116287~ (2020)
  110. Hamilton JP, "Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience", Biol Psychiatry, 78, pp.224~230 (2015)
  111. Takagaki K, "Development and validation of the Japanese version of the behavioral activation for depression scale(BADS)", Arch Psychiatr Diagn Clin Eval, 6, pp.76~85 (2013)
  112. Cernasov P, "Multilevel growth curve analyses of behavioral activation for anhedonia(BATA)and mindfulness-based cognitive therapy effects on anhedonia and resting-state functional connectivity : interim results of a randomized trial", J Affect Disord, 292, pp.161~171 (2021)
  113. Lejuez CW, "Ten year revision of the brief behavioral activation treatment for depression : revised treatment manual", Behav Modif, 35, pp.111~161 (2011)
  114. Teasdale JD, "Buddhist thought and applied psychological research", pp.450~466 (2006), Routledge
  115. Posner J, "Antidepressants normalize the default mode network in patients with dysthymia", JAMA Psychiatry, 70, pp.373~382 (2013)
  116. van de Ven V, "Escitalopram decreases cross-regional functional connectivity within the default-mode network", PLoS One, 8, pp.e68355~ (2013)
  117. Liston C, "Default mode network mechanisms of transcranial magnetic stimulation in depression", Biol Psychiatry, 76, pp.517~526 (2014)
  118. Philip NS, "Network mechanisms of clinical response to transcranial magnetic stimulation in posttraumatic stress disorder and major depressive disorder", Biol Psychiatry, 83, pp.263~272 (2018)
  119. Kaiser RH, "Largescale network dysfunction in major depressive disorder : a metaanalysis of resting-state functional connectivity", JAMA Psychiatry, 72, pp.603~611 (2015)
  120. Mulders PC, "Resting-state functional connectivity in major depressive disorder : a review", Neurosci Biobehav Rev, 56, pp.330~344 (2015)
  121. Soares JC, "The functional neuroanatomy of mood disorders", J Psychiatr Res, 31, pp.393~432 (1997)
  122. Lifshitz M, "Mindfulness-based therapy regulates brain connectivity in major depression", Psychother Psychosom, 88, pp.375~377 (2019)
  123. Perrin JS, "Electroconvulsive therapy reduces frontal cortical connectivity in severe depressive disorder", Proc Natl Acad Sci U S A, 109, pp.5464~5468 (2012)
  124. Harvey PO, "Cognitive control and brain resources in major depression : an fMRI study using the n-back task", Neuroimage, 26, pp.860~869 (2005)
  125. Matsuo K, "Prefrontal hyperactivation during working memory task in untreated individuals with major depressive disorder", Mol Psychiatry, 12, pp.158~166 (2007)
  126. Walsh E, "Attenuation of frontostriatal connectivity during reward processing predicts response to psychotherapy in major depressive disorder", Neuropsychopharmacology, 42, pp.831~843 (2017)
  127. Rogers RD, "Distinct portions of anterior cingulate cortex and medial prefrontal cortex are activated by reward processing in separable phases of decision-making cognition", Biol Psychiatry, 55, pp.594~602 (2004)
  128. Bush G, "Dorsal anterior cingulate cortex : a role in reward-based decision making", Proc Natl Acad Sci U S A, 99, pp.523~528 (2002)
  129. Walsh EC, "Pretreatment brain connectivity during positive emotion upregulation predicts decreased anhedonia following behavioral activation therapy for depression", J Affect Disord, 243, pp.188~192 (2019)
  130. Smoski MJ, "Neural mechanisms of cognitive reappraisal in remitted major depressive disorder", J Affect Disord, 151, pp.171~177 (2013)
  131. Ochsner KN, "For better or for worse : neural systems supporting the cognitive down-and up-regulation of negative emotion", Neuroimage, 23, pp.483~499 (2004)
  132. Bunge SA, "Prefrontal regions involved in keeping information in and out of mind", Brain, 124(Pt 10), pp.2074~2086 (2001)
  133. Fan J, "The activation of attentional networks", Neuroimage, 26, pp.471~479 (2005)
  134. Fichtenholtz HM, "Emotion-attention network interactions during a visual oddball task", Brain Res Cogn Brain Res, 20, pp.67~80 (2004)
  135. Adler CM, "Changes in neuronal activation with increasing attention demand in healthy volunteers : an fMRI study", Synapse, 42, pp.266~272 (2001)
  136. Dichter GS, "Affective context interferes with cognitive control in unipolar depression : an fMRI investigation", J Affect Disord, 114, pp.131~142 (2009)
  137. Webb CA, "Rewardrelated predictors of symptom change in behavioral activation therapy for anhedonic adolescents : a multimodal approach", Neuropsychopharmacology, 48, pp.623~632 (2023)
  138. Sequeira SL, "Association of neural reward circuitry function with response to psychotherapy in youths with anxiety disorders", Am J Psychiatry, 178, pp.343~351 (2021)
  139. O’Doherty JP, "Reward representations and reward-related learning in the human brain : insights from neuroimaging", Curr Opin Neurobiol, 14, pp.769~776 (2004)
  140. Delgado MR, "An fMRI study of reward-related probability learning", Neuroimage, 24, pp.862~873 (2005)
  141. Gollan JK, "Frontal alpha EEG asymmetry before and after behavioral activation treatment for depression", Biol Psychol, 99, pp.198~208 (2014)
  142. Thibodeau R, "Depression, anxiety, and resting frontal EEG asymmetry : a meta-analytic review", J Abnorm Psychol, 115, pp.715~729 (2006)
  143. Anderson AJ, "Predicting individual differences in behavioral activation and behavioral inhibition from functional networks in the resting EEG", Biol Psychol, 177, pp.108483~ (2023)
  144. Gray JA, "The psychology of fear and stress" (1987), Cambridge University Press
  145. Stein JL, "Identification of common variants associated with human hippocampal and intracranial volumes", Nat Genet, 44, pp.552~561 (2012)
  146. Schmaal L, "ENIGMA MDD : seven years of global neuroimaging studies of major depression through worldwide data sharing", Transl Psychiatry, 10, pp.172~ (2020)
  147. van den Heuvel OA, "An overview of the first 5 years of the ENIGMA obsessive-compulsive disorder working group : the power of worldwide collaboration", Hum Brain Mapp, 43, pp.23~36 (2022)
  148. Bas-Hoogendam JM, "ENIGMA-anxiety working group : rationale for and organization of large-scale neuroimaging studies of anxiety disorders", Hum Brain Mapp, 43, pp.83~112 (2022)
  149. Sescousse G, "The architecture of reward value coding in the human orbitofrontal cortex", J Neurosci, 30, pp.13095~13104 (2010)
  150. Niendam TA, "Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions", Cogn Affect Behav Neurosci, 12, pp.241~268 (2012)
  151. Cole MW, "The cognitive control network : integrated cortical regions with dissociable functions", Neuroimage, 37, pp.343~360 (2007)
  152. Arnsten AF, "Stress signalling pathways that impair prefrontal cortex structure and function", Nat Rev Neurosci, 10, pp.410~422 (2009)
  153. Friedman NP, "The role of prefrontal cortex in cognitive control and executive function", Neuropsychopharmacology, 47, pp.72~89 (2022)
  154. Kober H, "Functional grouping and cortical-subcortical interactions in emotion : a meta-analysis of neuroimaging studies", Neuroimage, 42, pp.998~1031 (2008)
  155. Etkin A, "Failure of anterior cingulate activation and connectivity with the amygdala during implicit regulation of emotional processing in generalized anxiety disorder", Am J Psychiatry, 167, pp.545~554 (2010)
  156. Alexandra Kredlow M, "Prefrontal cortex, amygdala, and threat processing : implications for PTSD", Neuropsychopharmacology, 47, pp.247~259 (2022)
  157. Suzuki Y, "Functions of the ventromedial prefrontal cortex in emotion regulation under stress", Sci Rep, 11, pp.18225~ (2021)
  158. Williams JMG, "Cognitive psychology and emotional disorders" (1988), John Wiley & Sons
  159. Sheline YI, "Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus", Proc Natl Acad Sci U S A, 107, pp.11020~11025 (2010)
  160. Williams LM, "Precision psychiatry : a neural circuit taxonomy for depression and anxiety", Lancet Psychiatry, 3, pp.472~480 (2016)
  161. Cheavens JS, "The compensation and capitalization models : a test of two approaches to individualizing the treatment of depression", Behav Res Ther, 50, pp.699~706 (2012)
  162. Burkhouse KL, "Neural reactivity to reward as a predictor of cognitive behavioral therapy response in anxiety and depression", Depress Anxiety, 33, pp.281~288 (2016)
  163. Burkhouse KL, "Neural responsiveness to reward as an index of depressive symptom change following cognitive-behavioral therapy and SSRI treatment", J Clin Psychiatry, 79, pp.17~ (2018)
  164. Hopko DR, "Behavioral activation for anxiety disorders", Behav Anal Today, 7, pp.212~232 (2006)
  165. Etherton JL, "Behavioral activation for PTSD : a meta-analysis", Psychol Trauma, 14, pp.894~901 (2022)
  166. Choi KH, "Motivational and behavioral activation as an adjunct to psychiatric rehabilitation for mild to moderate negative symptoms in individuals with schizophrenia : a proof-of-concept pilot study", Front Psychol, 7, pp.1759~ (2016)
  167. Pott SL, "Is behavioral activation an effective and acceptable treatment for co-occurring depression and substance use disorders? A meta-analysis of randomized controlled trials", J Subst Abuse Treat, 132, pp.108478~ (2022)
  168. Iadipaolo AS, "Behavioral activation sensitivity and default mode network-subgenual cingulate cortex connectivity in youth", Behav Brain Res, 333, pp.135~141 (2017)
  169. Connolly CG, "Resting-state functional connectivity of subgenual anterior cingulate cortex in depressed adolescents", Biol Psychiatry, 74, pp.898~907 (2013)
  170. Somerville LH, "Developmental neurobiology of cognitive control and motivational systems", Curr Opin Neurobiol, 20, pp.236~241 (2010)
  171. Van Leijenhorst L, "What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence", Cereb Cortex, 20, pp.61~69 (2010)

관련 논문AI추천

이 간행물의 다른 논문 (17건)