How cognitive neuroscience can inform clinical practice

• Mechanisms of symptoms and disease​

  • Maletic, V., Robinson, M., Oakes, T., Iyengar, S., Ball, S. G., & Russell, J. (2007). Neurobiology of depression: an integrated view of key findings. International journal of clinical practice, 61(12), 2030–2040. https://doi.org/10.1111/j.1742-1241.2007.01602.x​

  • Singh, M. K., & Gotlib, I. H. (2014). The neuroscience of depression: implications for assessment and intervention. Behaviour research and therapy, 62, 60–73. https://doi.org/10.1016/j.brat.2014.08.008

  • Mataix‐Cols, D., Pertusa, A., & Snowdon, J. (2011). Neuropsychological and neural correlates of hoarding: A practice‐friendly review. Journal of clinical psychology, 67(5), 467-476.

• Mechanisms of treatment

  • Field, T.A., Beeson, E. T., Jones, L.K. (2015). The new ABC’s: A practitioner’s guide to neuroscience informed Cognitive Behavior Therapy, Journal of Mental Health Counseling, 37(3), 206-220.

  • Månsson, K.N.T., Lueken, U., & Frick, A. (2020). Enriching CBT by Neuroscience: Novel Avenues to Achieve Personalized Treatments. International Journal of Cognitive Therapy, 14, 182-195. https://doi.org/10.1007/s41811-020-00089-0.

  • Porto P.R., Oliveira, L., Mari, J., Volchan, E., Figueira, I., Ventura, P. (2009) Does Cognitive Behavioral Therapy Change the Brain? A Systematic Review of Neuroimaging in Anxiety Disorders, J Neuropsychiatry 21(2) 114-125

  • Jokic-Begic, N. (2010) Cognitive Behavioral Therapy and Neuroscience: Towards Closer Integration, Psychological Topics, 19(2), 235-254

  • Siegle, G.J. & Coan, J. (2018). Neuroscience relevant to core processes in psychotherapy. In Hayes, S. & Hofmann, S. Process Based CBT: The Science and Core Clinical Competencies of Cognitive Behavioral Therapy. New Harbinger Publications, Oakland, CA

  • Perera, T., George, M. S., Grammer, G., Janicak, P. G., Pascual-Leone, A., & Wirecki, T. S. (2016). The clinical TMS society consensus review and treatment recommendations for TMS therapy for major depressive disorder. Brain stimulation, 9(3), 336-346

  • Horn, S., Fisher, P., Pfeifer, J., Allen, N., & Berkman, E. (2020). Levers and Barriers to Success in the Use of Translational Neuroscience for the Prevention and Treatment of Mental Health and Promotion of Well-Being Across the Lifespan. Journal of Abnormal Psychology, 129(1), 38-48.

• Neurocognitive interventions

  • De Raedt, R. (2020). Contributions from neuroscience to the practice of Cognitive Behaviour Therapy: Translational psychological science in service of good practice. Behaviour Research and Therapy, 105, 103545.

  • Mohlman, J. (Ed.), Deckersbach, T. (Ed.), Weissman, A. (Ed.). (2015). From Symptom to Synapse. New York: Routledge, https://doi.org/10.4324/9780203507131

​Academic background that, with some work, could become translational​

• Mechanisms of symptoms and disease​

  • Anxiety and Related Disorders​

    • ​Andreescu, C., Mennin, D., Tudorascu, D., Sheu, L. K., Walker, S., Banihashemi, L., & Aizenstein, H. (2015). The many faces of anxiety-neurobiological correlates of anxiety phenotypes. Psychiatry Research: Neuroimaging, 234(1), 96-105.

    • Dunsmoor, J. E., & Paz, R. (2015). Fear generalization and anxiety: behavioral and neural mechanisms. Biological psychiatry, 78(5), 336-343.

    • Duval, E. R., Javanbakht, A., & Liberzon, I. (2015). Neural circuits in anxiety and stress disorders: a focused review. Therapeutics and clinical risk management, 11, 115.

    • Etkin, A., & Wager, T. D. (2007). Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. American journal of Psychiatry, 164(10), 1476-1488.

    • Freitas-Ferrari, M. C., Hallak, J. E., Trzesniak, C., Santos Filho, A., Machado-de-Sousa, J. P., Chagas, M. H. N., ... & Crippa, J. A. S. (2010). Neuroimaging in social anxiety disorder: a systematic review of the literature. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 34(4), 565-580.

    • Hilbert, K., Lueken, U., & Beesdo-Baum, K. (2014). Neural structures, functioning and connectivity in Generalized Anxiety Disorder and interaction with neuroendocrine systems: a systematic review. Journal of affective disorders, 158, 114-126.

    • Jacob, Y., Shany, O., Goldin, P. R., Gross, J. J., & Hendler, T. (2019). Reappraisal of interpersonal criticism in social anxiety disorder: a brain network hierarchy perspective. Cerebral Cortex, 29(7), 3154-3167.

    • Maron, E., & Nutt, D. (2017). Biological markers of generalized anxiety disorder. Dialogues in clinical neuroscience, 19(2), 147.

    • Taylor, J. M., & Whalen, P. J. (2015). Neuroimaging and anxiety: The neural substrates of pathological and non-pathological anxiety. Current psychiatry reports, 17(6), 49.

  • Depression

    • Disner, S. G., Beevers, C. G., Haigh, E. A., & Beck, A. T. (2011). Neural mechanisms of the cognitive model of depression. Nature Reviews Neuroscience, 12(8), 467-477.

    • Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., ... & Schatzberg, A. F. (2017). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature medicine, 23(1), 28-38.

    • Price, R. B., Gates, K., Kraynak, T. E., Thase, M. E., & Siegle, G. J. (2017). Data-driven subgroups in depression derived from directed functional connectivity paths at rest. Neuropsychopharmacology, 42(13), 2623-2632.

    • Schmidt, H. D., Shelton, R. C., & Duman, R. S. (2011). Functional biomarkers of depression: diagnosis, treatment, and pathophysiology. Neuropsychopharmacology, 36(12), 2375-2394.

    • Steiger, A., & Kimura, M. (2010). Wake and sleep EEG provide biomarkers in depression. Journal of psychiatric research, 44(4), 242-252.

    • Weinberg, A., Perlman, G., Kotov, R., & Hajcak, G. (2016). Depression and reduced neural response to emotional images: Distinction from anxiety, and importance of symptom dimensions and age of onset. Journal of abnormal psychology, 125(1), 26.

  • Obsessive-Compulsive Disorder and Related Disorder

    • Eng, G. K., Sim, K., & Chen, S. H. A. (2015). Meta-analytic investigations of structural grey matter, executive domain-related functional activations, and white matter diffusivity in obsessive compulsive disorder: an integrative review. Neuroscience & Biobehavioral Reviews, 52, 233-257.

    • Friedlander, L., & Desrocher, M. (2006). Neuroimaging studies of obsessive–compulsive disorder in adults and children. Clinical psychology review, 26(1), 32-49.

    • Graybiel, A. M., & Rauch, S. L. (2000). Toward a neurobiology of obsessive-compulsive disorder. Neuron, 28(2), 343-347.

    • Mataix‐Cols, D., Pertusa, A., & Snowdon, J. (2011). Neuropsychological and neural correlates of hoarding: A practice‐friendly review. Journal of clinical psychology, 67(5), 467-476.

    • Phillips, M. L., & Mataix-Cols, D. (2004). Patterns of Neural Response to Emotive Stimuli Distinguish the Different Symptom Dimensions of Obsessive-Compulsive Disorders. CNS spectrums, 9, 275-283

    • Robbins, T. W., Vaghi, M. M., & Banca, P. (2019). Obsessive-compulsive disorder: puzzles and prospects. Neuron, 102(1), 27-47.

  • Post-Traumatic Stress Disorder

    • Hayes, J. P., LaBar, K. S., Petty, C. M., McCarthy, G., & Morey, R. A. (2009). Alterations in the neural circuitry for emotion and attention associated with posttraumatic stress symptomatology. Psychiatry Research: Neuroimaging, 172(1), 7-15.

    • Kaczkurkin, A. N., Burton, P. C., Chazin, S. M., Manbeck, A. B., Espensen-Sturges, T., Cooper, S. E., ... & Lissek, S. (2017). Neural substrates of overgeneralized conditioned fear in PTSD. American Journal of Psychiatry, 174(2), 125-134.

    • Larson, C. L., deRoon-Cassini, T., Taubitz, L. E., & Belleau, E. L. (2014, September). Neural markers of emotion dysregulation in acute trauma survivors predict chronic PTSD. Symposium presentation at the annual meeting of the Society for Research in Psychopathology.

    • Shvil, E., Rusch, H. L., Sullivan, G. M., & Neria, Y. (2013). Neural, psychophysiological, and behavioral markers of fear processing in PTSD: a review of the literature. Current psychiatry reports, 15(5), 358.

  • Substance Use Disorders

    • Claus, E. D., Kiehl, K. A., & Hutchison, K. E. (2011). Neural and behavioral mechanisms of impulsive choice in alcohol use disorder. Alcoholism: Clinical and Experimental Research, 35(7), 1209-1219.

    • Everitt, B. J., Belin, D., Economidou, D., Pelloux, Y., Dalley, J. W., & Robbins, T. W. (2008). Neural mechanisms underlying the vulnerability to develop compulsive drug-seeking habits and addiction. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1507), 3125-3135.

    • Garavan, H., & Stout, J. C. (2005). Neurocognitive insights into substance abuse. Trends in cognitive sciences, 9(4), 195-201

    • Tessner, K. D., & Hill, S. Y. (2010). Neural circuitry associated with risk for alcohol use disorders. Neuropsychology review, 20(1), 1-20.

  • Transdiagnostic

    • ​McTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A. (2017). Identification of common neural circuit disruptions in cognitive control across psychiatric disorders. American Journal of Psychiatry, 174(7), 676-685.

• Mechanisms of treatment

  • Brooks, S. J., & Stein, D. J. (2015). A systematic review of the neural bases of psychotherapy for anxiety and related disorders. Dialogues in clinical neuroscience, 17(3), 261.

  • De Raedt, R. (2020). Contributions from neuroscience to the practice of Cognitive Behaviour Therapy: Translational psychological science in service of good practice. Behaviour Research and Therapy, 105, 103545.

  • DeRubeis, R. J., Siegle, G. J., & Hollon, S. D. (2008). Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nature Reviews Neuroscience, 9(10), 788-796.

  • Goodwin, G. M., Holmes, E. A., Andersson, E., Browning, M., Jones, A., Lass-Hennemann, J., ... & van Zutphen, L. (2018). From neuroscience to evidence based psychological treatments–The promise and the challenge, ECNP March 2016, Nice, France. European Neuropsychopharmacology, 28(2), 317-333.

  • Jokić-Begić, N. (2010). Cognitive-behavioral therapy and neuroscience: Towards closer integration. Psihologijske teme, 19(2), 235-254.

  • Klumpp, H., Fitzgerald, D. A., & Phan, K. L. (2013). Neural predictors and mechanisms of cognitive behavioral therapy on threat processing in social anxiety disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 45, 83-91.

  • Ritchey, M., Dolcos, F., Eddington, K. M., Strauman, T. J., & Cabeza, R. (2011). Neural correlates of emotional processing in depression: changes with cognitive behavioral therapy and predictors of treatment response. Journal of psychiatric research, 45(5), 577-587.

  • Ruhé, H. G., Booij, J., Veltman, D. J., Michel, M. C., & Schene, A. H. (2012). Successful pharmacologic treatment of major depressive disorder attenuates amygdala activation to negative facial expressions: a functional magnetic resonance imaging study. Journal of Clinical Psychiatry, 73(4), 451.

  • Schmidt, H. D., Shelton, R. C., & Duman, R. S. (2011). Functional biomarkers of depression: diagnosis, treatment, and pathophysiology. Neuropsychopharmacology, 36(12), 2375-2394.

  • Siegle, G.J. & Coan, J. (2018). Neuroscience relevant to core processes in psychotherapy. In Hayes, S. & Hofmann, S. Process Based CBT: The Science and Core Clinical Competencies of Cognitive Behavioral Therapy. New Harbinger Publications, Oakland, CA

  • Straub, J., Plener, P. L., Sproeber, N., Sprenger, L., Koelch, M. G., Groen, G., & Abler, B. (2015). Neural correlates of successful psychotherapy of depression in adolescents. Journal of affective disorders, 183, 239-246.

  • Thorsen, A. L., van den Heuvel, O. A., Hansen, B., & Kvale, G. (2015). Neuroimaging of psychotherapy for obsessive–compulsive disorder: a systematic review. Psychiatry Research: Neuroimaging, 233(3), 306-313.

  • Yoshimura, S., Okamoto, Y., Onoda, K., Matsunaga, M., Okada, G., Kunisato, Y., ... & Yamawaki, S. (2014). Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing. Social cognitive and affective neuroscience, 9(4), 487-493.

• Mechanisms of individual differences in treatment success

  • Brehl, A. K., Kohn, N., Schene, A. H., & Fernández, G. (2020). A mechanistic model for individualised treatment of anxiety disorders based on predictive neural biomarkers. Psychological Medicine, 50(5), 727-736.

  • Doerig, N., Krieger, T., Altenstein, D., Schlumpf, Y., Spinelli, S., Späti, J., ... & Grosse Holtforth, M. (2016). Amygdala response to self-critical stimuli and symptom improvement in psychotherapy for depression. The British Journal of Psychiatry, 208(2), 175-181.

• Identify biomarkers of treatment success

  • Depression​

    • Costafreda SG, Khanna A, Mourao-Miranda J, Fu CHY. Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression. Neuroreport. 2009 May 6;20(7):637–41.

    • Dichter, G. S., Felder, J. N., & Smoski, M. J. (2010). The effects of brief behavioral activation therapy for depression on cognitive control in affective contexts: an fMRI investigation. Journal of affective disorders, 126(1-2), 236-244.

    • Doerig, N., Krieger, T., Altenstein, D., Schlumpf, Y., Spinelli, S., Späti, J., ... & Grosse Holtforth, M. (2016). Amygdala response to self-critical stimuli and symptom improvement in psychotherapy for depression. The British Journal of Psychiatry, 208(2), 175-181.

    • Forbes, E. E., Olino, T. M., Ryan, N. D., Birmaher, B., Axelson, D., Moyles, D. L., & Dahl, R. E. (2010). Reward-related brain function as a predictor of treatment response in adolescents with major depressive disorder. Cognitive, Affective, & Behavioral Neuroscience, 10(1), 107-118.

    • Fu, C. H., Williams, S. C., Cleare, A. J., Scott, J., Mitterschiffthaler, M. T., Walsh, N. D., ... & Murray, R. M. (2008). Neural responses to sad facial expressions in major depression following cognitive behavioral therapy. Biological psychiatry, 64(6), 505-512.

    • Klumpp, H., Fitzgerald, D. A., & Phan, K. L. (2013). Neural predictors and mechanisms of cognitive behavioral therapy on threat processing in social anxiety disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 45, 83-91.

    • Klumpp, H., Roberts, J., Kennedy, A. E., Shankman, S. A., Langenecker, S. A., Gross, J. J., & Phan, K. L. (2017). Emotion regulation related neural predictors of cognitive behavioral therapy response in social anxiety disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 75, 106-112.

    • Lueken, U., Zierhut, K. C., Hahn, T., Straube, B., Kircher, T., Reif, A., ... & Domschke, K. (2016). Neurobiological markers predicting treatment response in anxiety disorders: A systematic review and implications for clinical application. Neuroscience & Biobehavioral Reviews, 66, 143-162.

    • Ritchey, M., Dolcos, F., Eddington, K. M., Strauman, T. J., & Cabeza, R. (2011). Neural correlates of emotional processing in depression: changes with cognitive behavioral therapy and predictors of treatment response. Journal of psychiatric research, 45(5), 577-587.

    • Ruhé, H. G., Booij, J., Veltman, D. J., Michel, M. C., & Schene, A. H. (2012). Successful pharmacologic treatment of major depressive disorder attenuates amygdala activation to negative facial expressions: a functional magnetic resonance imaging study. Journal of Clinical Psychiatry, 73(4), 451.

    • Siegle, G. J., Carter, C. S., & Thase, M. E. (2006). Use of FMRI to predict recovery from unipolar depression with cognitive behavior therapy. American Journal of Psychiatry, 163(4), 735-738.

    • Siegle, G. J., Thompson, W. K., Collier, A., Berman, S. R., Feldmiller, J., Thase, M. E., & Friedman, E. S. (2012). Toward clinically useful neuroimaging in depression treatment: prognostic utility of subgenual cingulate activity for determining depression outcome in cognitive therapy across studies, scanners, and patient characteristics. Archives of General Psychiatry, 69(9), 913-924.

    • Spies, M., Kraus, C., Geissberger, N., Auer, B., Klöbl, M., Tik, M., ... & Kasper, S. (2017). Default mode network deactivation during emotion processing predicts early antidepressant response. Translational psychiatry, 7(1)

    • Straub, J., Plener, P. L., Sproeber, N., Sprenger, L., Koelch, M. G., Groen, G., & Abler, B. (2015). Neural correlates of successful psychotherapy of depression in adolescents. Journal of affective disorders, 183, 239-246.

    • Tymofiyeva, O., Yuan, J. P., Huang, C. Y., Connolly, C. G., Blom, E. H., Xu, D., & Yang, T. T. (2019). Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT). NeuroImage: Clinical, 23, 101914.

    • Yoshimura, S., Okamoto, Y., Onoda, K., Matsunaga, M., Okada, G., Kunisato, Y., ... & Yamawaki, S. (2014). Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing. Social cognitive and affective neuroscience, 9(4), 487-493.

• Neurocognitive interventions

  • EEG​

    • Schoenberg, P. L., & David, A. S. (2014). Biofeedback for psychiatric disorders: a systematic review. Applied psychophysiology and biofeedback, 39(2), 109-135.           

    • Schoenberg, P. L., Sierra, M., & David, A. S. (2012). Psychophysiological investigations in depersonalization disorder and effects of electrodermal biofeedback. Journal of trauma & dissociation, 13(3), 311-329.

    • Sokhadze, T. M., Cannon, R. L., & Trudeau, D. L. (2008). EEG biofeedback as a treatment for substance use disorders: review, rating of efficacy, and recommendations for further research. Applied psychophysiology and biofeedback, 33(1), 1-28.

  • tDCS

    • Brunoni, A. R., Ferrucci, R., Bortolomasi, M., Vergari, M., Tadini, L., Boggio, P. S., ... & Priori, A. (2011). Transcranial direct current stimulation (tDCS) in unipolar vs. bipolar depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 35(1), 96-101

    • Kekic, M., Boysen, E., Campbell, I. C., & Schmidt, U. (2016). A systematic review of the clinical efficacy of transcranial direct current stimulation (tDCS) in psychiatric disorders. Journal of Psychiatric Research, 74, 70-86.

    • Tortella, G., Casati, R., Aparicio, L. V., Mantovani, A., Senço, N., D’Urso, G., ... & Junior, B. D. S. P. (2015). Transcranial direct current stimulation in psychiatric disorders. World journal of psychiatry, 5(1), 88.

  • TMS

    • Aleman, A. (2013). Use of repetitive transcranial magnetic stimulation for treatment in psychiatry. Clinical Psychopharmacology and Neuroscience, 11(2), 53.

    • Gorelick, D. A., Zangen, A., & George, M. S. (2014). Transcranial magnetic stimulation (TMS) in the treatment of substance addiction. Annals of the New York Academy of Sciences, 1327(1), 79.

    • Guo, Q., Li, C., & Wang, J. (2017). Updated review on the clinical use of repetitive transcranial magnetic stimulation in psychiatric disorders. Neuroscience bulletin, 33(6), 747-756.

    • Kim, D. R., Pesiridou, A., & O’Reardon, J. P. (2009). Transcranial magnetic stimulation in the treatment of psychiatric disorders. Current psychiatry reports, 11(6), 447-452.

    • Lisanby, S. H., Kinnunen, L. H., & Crupain, M. J. (2002). Applications of TMS to therapy in psychiatry. Journal of Clinical Neurophysiology, 19(4), 344-360.

    • Perera, T., George, M. S., Grammer, G., Janicak, P. G., Pascual-Leone, A., & Wirecki, T. S. (2016). The clinical TMS society consensus review and treatment recommendations for TMS therapy for major depressive disorder. Brain stimulation, 9(3), 336-346

    • Radhu, N., de Jesus, D. R., Ravindran, L. N., Zanjani, A., Fitzgerald, P. B., & Daskalakis, Z. J. (2013). A meta-analysis of cortical inhibition and excitability using transcranial magnetic stimulation in psychiatric disorders. Clinical Neurophysiology, 124(7), 1309-1320.

• Neuroeducation

  • Field, T. A., Beeson, E. T., & Jones, L. K. (2016). Neuroscience-informed cognitive-behavior therapy in clinical practice: A preliminary study. Journal of Mental Health Counseling, 38(2), 139-154.​

• Augmenting existing interventions

  • Field, T. A., Beeson, E. T., & Jones, L. K. (2016). Neuroscience-informed cognitive-behavior therapy in clinical practice: A preliminary study. Journal of Mental Health Counseling, 38(2), 139-154.

  • Hofmann, S. G., Fang, A., & Gutner, C. A. (2014). Cognitive enhancers for the treatment of anxiety disorders. Restorative neurology and neuroscience, 32(1), 183-195.

  • Vinograd, M., & Craske, M. G. (2020). Using neuroscience to augment behavioral interventions for depression. Harvard Review of Psychiatry, 28(1), 14-25.