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Neuroimaging findings related to panic disorder: A brief review

Year 2022, , 406 - 415, 26.12.2022
https://doi.org/10.5455/kpd.26024438m000082

Abstract

Panik bozukluk (PB), hastaların yaşam kalitesini olumsuz etkileyen, beklenmedik ve tekrarlayan panik ataklar ve kontrolü kaybetme kaygısıyla tanımlanmaktadır. Nörogörüntüleme teknikleri, beyinde panik bozuklukla ilişkili yapısal ve fonksiyonel değişimlerin altını çizerek PB ile ilgili mekanizmaların anlaşılmasında önemli araçlar haline gelmiştir. Güncel araştırmalar PB hastaları ve sağlıklı kontroller arasındaki önemli nöral farklılıkları MRI, PET, SPECT ve EEG gibi yöntemlerle aydınlatmaktadır. Ancak PB patolojisini çok boyutlu olarak anlayabilmek için gerçekleştirilen araştırmalardan elde edilen sonuçların tartışılmasına ihtiyaç vardır. Olası hedef bölgelerin tanımlanması ileride daha etkili tedavi ve müdahale stratejilerinin geliştirilmesine olanak verecektir. Bu makalede PB ile ilişkili nörogörüntüleme bulguları derlenmiştir. Alanyazın taramasına 2012 ve 2021 yılları arasında yayınlanmış ve 18 yaşından büyük katılımcıların yer aldığı PB ile ilişkili nörogörüntüleme çalışmalarının bulguları dahil edilmiştir. Araştırma PubMed, Web of Science ve PsycINFO’da nörogörüntüleme teknikleri için anahtar kelimeler (örn., fMRI, PET, EEG, fNIRS) ve “panik”, “anksiyete” ve "panik bozukluk” gibi PB ile ilişkili anahtar kelimelerin taranmasıyla gerçekleşmiştir. Komorbid durumları olan hastaları içeren (örn., depresyon ve panik bozukluk tanısı olan), 18 yaşından küçük ergen ve çocuklarla yapılmış, 2012 yılından öncesine ait çalışmalar araştırmaya dahil edilmemiştir. Derlemede toplamda içleme kriterlerini karşılayan 20 çalışmaya yer verilmiştir. Birçok çalışma, hipokampal ve talamik bölgeler, frontal, oksipital, temporal lop, amigdala, anterior singulat korteks ve insula ile ilişkili bölgelere işaret ettiği gibi, PB hastalarında ‘korku ağı modeli’ olarak sunulması önerilen beyin bölgelerinde anlamlı yapısal ve fonksiyonel değişikliklere işaret eden çalışmalar da bulunmaktadır. Sonuç olarak çalışmalardan elde edilen bulgular, çeşitli tedavilerin, hastaların yaşam kalitesini anlamlı ölçüde yükseltecek şekilde PB'den etkilenen bölgelerde faydalı olduğunu göstermiştir.

References

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).
  • Asami, T., Nakamura, R., Takaishi, M., Yoshida, H., Yoshimi, A., Whitford, T. J., & Hirayasu, Y. (2018a). Smaller volumes in the lateral and basal nuclei of the amygdala in patients with panic disorder. PLoS ONE, 13(11), 1-8.
  • Asami, T., Takaishi, M., Nakamura, R., Yoshida, H., Yoshimi, A., Whitford, T. J., Inoue, T., & Hirayasu, Y. (2018b). Cortical thickness reductions in the middle frontal cortex in patients with panic disorder. Journal of Affective Disorders, 240, 199-202.
  • Asami, T., Yoshida, H., Takaishi, M., Nakamura, R., Yoshimi, A., Whitford, T. J., & Hirayasu, Y. (2018c). Thalamic shape and volume abnormalities in female patients with panic disorder. PLoS ONE, 13(12), 1-12.
  • Asl, T. M., Nemati, R., Yousefi, F., Salimipour, H., Nabipour, I., & Assadi, M. (2017). A pictorial essay on brain perfusion SPECT in various neuro-psychiatric disorders and intoxication: Though practical, it is not very commonly used. Iranian Journal of Nuclear Me-dicine, 25(Supp 1), 1-14.
  • Baeken, C., Wu, R. G., & Raedt, R. (2017). Dorsomedial frontal cortical metabolic differences of comorbid generalized anxiety disorder in refractory major depression: A [18F] FDG PET brain imaging study. Journal of Affective Disorders, 227, 550-553.
  • Basser, P. J., Mattiello, J., & LeBihan, D. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66(1), 259-267.
  • Brinkmann, L., Buff, C., Feldker, K., Tupak, S. V., Bec-ker, M., Herrmann, M. J., & Straube, T. (2017). Dis-tinct phasic and sustained brain responses and connectivity of amygdala and bed nucleus of the stria terminalis during threat anticipation in panic disorder. Psychological Medicine, 47(15), 2675-2688.
  • Burkhardt, A., Buf, C., Brinkmann, L., Feldker, K., Gathmann, B., Hofmann, D., & Straube, T. (2019). Brain activation during disorder-related script-driven imagery in panic disorder: A pilot study. Scientific Re-ports, 9(1), 2415.
  • Carvalho, M. R., Dias, G. P., Cosci, F., de-Melo-Neto, V. L., Bevilaqua, M. C., Gardino, P. F., & Nardi, A. E. (2010). Current findings of fMRI in panic disorder: Contributions for the fear neurocircuitry and CBT effects. Expert Review of Neurotherapeutics, 10(2), 291-303.
  • Carvalho, R. M., Velasques, B. B., Cagy, M., Marques, B. J., Teixeria, S., Nardi, E. A., Piedade, R., & Ribeiro, P. (2013). Electroencephalographic findings in pa-nic disorder. Trends Psychiatry Psychotherapy. (35)4, 238-251.
  • Deppermann, S., Vennewald, N., Diemer, J., Sickinger, S., Haeussinger, B. F., Notzon, S., Laeger, I., Arolt, V., Ehlis, C. A., Zwanzger, P., & Fallgatter, J. A. (2014). Does rTMS alter neurocognitive functioning in patients with panic disorder/agoraphobia? An fNIRS-based investigation of prefrontal activation during a cognitive task and its modulation via sham-controlled rTMS. BioMed Research International, 1-12.
  • Dresler, T., Attar, C. H., Spitzer, C., Löwe, B., Deckert, J., Büchel, C., Ehlis, A-C., & Fallgatter, A. J. (2012). Neural correlates of the emotional stroop task in panic disorder patients: An event-related fMRI study. Journal of Psychiatric Research, 46(12), 1627-1634.
  • Engel, K., Obst, K., Bandelow, B., Dechent,P, Gruber,0, Zerr, I., Ulrich, K., & Wedeking, D. (2015). Functional MRI activation in response to panic-specific, non-panic aversive, and neutral pictures in patients with pa-nic disorder and healthy controls. European Archives of Psychiatry and Clinical Neuroscience, 266(6), 557-566.
  • Esquivel, G., Schruers, K. R., Maddock, R. J., Colasanti, A., & Griez, E. J. (2010). Review: Acids in the brain: A factor in panic? Journal of Psychopharmacology, 24(5), 639-647.
  • Feldker, K., Heitmann, C. Y., Neumeister, P., Bruch-mann, M., Vibrans, L., Zwitserlood, P., & Straube, T. (2016). Brain responses to disorder-related visual threat in panic disorder. Human Brain Mapping, 37(12), 4439-4453.
  • Ferreri, L., Emmanuel, B., Perrey, S., & Bugaiska, A. (2014). The promise of Near-Infrared Spectroscopy (NIRS) for psychological research: A brief review. L’Année Psychologique, 114(03), 537-569.
  • Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S., & Rezvani, M. (2020). Deep recurrent-convolutional neural network for classification of simultaneous EEG-fNIRS signals. IET Signal Process, (14)3, 142-153.
  • Goodwin, R. D., Brook, J. S., & Cohen, P. (2005). Panic attacks and the risk of personality disorder. Psychological Medicine, 35(2), 227-235.
  • Gorman, J. M., Kent, J. M., Sullivan, G. M., & Coplan, J. D. (2000). Neuroanatomical hypothesis of panic disorder, revised. The American Journal of Psychiatry, 157(4), 493-505.
  • Grambal, A., Hlustik, P., & Prasko, J. (2015). What fMRI can tell us about panic disorder: Bridging the gap between neurobiology and psychotherapy. Neuro-endocrinology Letters, (36)3, 214-225.
  • Harber, L., Hamidian, R., Fatemi, B. A., Wang, Z. K., Dada, O., Messina, G., Monda, M., Chieffi, S., & Luca, D.V. (2019). Meta-analysis of neuropsychological studies in panic disorder patients: Evidence of impaired performance during the emotional stroop task. Neuropsyhobiology, 8(1), 7-13.
  • Held-Poschardt, D., Sterzer, P., Schlagenhauf, F., Pehrs, C., Wittmann, A., Stoy, M., Hägele, C., Knutson, B., Heinz, A., & Ströhle, A. (2017). Reward and loss anticipation in panic disorder: An fMRI study. Psychiatry Research: Neuroimaging, 271, 111-117.
  • Hyde, J., Ryan, M. K., & Waters, M. A. (2019). Psychophysiological markers of fear and anxiety. Current Psychiatry Reports, 21(7), 56.
  • Kang, E. H., Park J. E., Lee K. H., Cho Y. S., Kim J. J., & Yu B. H. (2012). Regional brain metabolism and treatment response in panic disorder patients: A PET study. Neuropsychobiology 66, 106-111.
  • Kim, B., Kim, J. H., Kim, M. K., Lee, K. S., Kim, Y., Choi, T. K., Kim, Y. T., & Lee, S. H. (2014). Frontal white matter alterations in short-term medicated panic disorder patients without comorbid conditions: A diffusion tensor imaging study. PLOS One, 9(4), 1-8.
  • Lai, C. H. (2018). Panic disorder neuroimaging focused on MRI. In Y.-K. Kim (Ed.), Psychology research progress. Panic disorder: Assessment, management and research insights (p. 109-131). Nova Science Publishers.
  • Lai, C. H. (2019). Fear network model in panic disorder: The past and the future. Psychiatry Investigation, 16(1), 16-26.
  • Lai, C. H., & Wu, Y. T. (2013a). Changes in gray matter volume of remitted first-episode, drug-naïve, panic disorder patients after 6-week antidepressant therapy. Journal of Psychiatric Research, 47(1), 122-127.
  • Lai, C. H., & Wu, Y. T. (2013b). Fronto-occipital fasciculus, corpus callosum and superior longitudinal fasciculus tract alterations of first-episode, medication-naïve and late-onset panic disorder patients. Journal of Affective Disorders, 146(3), 378-382.
  • Li, R., Zhao, C., Wang, C., Wang, J., & Zhang, Y. (2020). Enhancing FNIRS analysis using EEG rhythmic signatures: An EEG-informed fNIRS analysis study. IEEE Transactions on Biomedical Engineering.
  • Long, Z., Medlock, C., Dzemidzic, M., Shin, Y. W., Goddard, A. W., & Dydak, U. (2013). Decreased GA-BA levels in anterior cingulate cortex/medial prefrontal cortex in panic disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 44, 131-135.
  • Maddock, R. J., Buonocore, M. H., Miller, A. R., Yoon, J. H., Soosman, S. K., & Unruh, A. M. (2013). Ab-normal activity-dependent brain lactate and glutamate + glutamine responses in panic disorder. Biological Psychiatry, 73(11), 1111-1119.
  • Popa, L. L., Dragos, H., Pantelemon, C., Rosu, V. O., & Strilciuc, S. (2020). The role of quantitative EEG in the diagnosis of neuropsychiatric disorders. Journal of Medicine and Life, 13(1), 8-15.
  • Rentzsch, J., Thoma, L, Gaudlitz, K., Tanzer, N., Galli-nat, J., Kathmann, N., Ströhle, A., Plag, J. (2019). Reduced sensitivity to non-fear-related stimulus changes in panic disorder. Neuropsychobiology. 1-7.
  • Seo, H. J., Choi, Y. H., Chung, Y. A., Rho, W., & Chae, J. H. (2014). Changes in cerebral blood flow af-ter cognitive behavior therapy in patients with panic disorder: A SPECT study. Neuropsychiatric Disease and Treatment, 10, 661-669.
  • Shin, Y. W., Dzemidzic, M., Jo, H. J., Long, Z., Med-lock, C., Dydak, U., & Goddard, A. W. (2013). Increased resting-state functional connectivity between the anterior cingulate cortex and the precuneus in panic disorder: Resting-state connectivity in panic disorder. Journal of Affective Disorders, 150(3), 1091-1095.
  • Silva, G. W. L., Aprigio, D., Giacomo, J., Gongora, M., Budde, H., Bittencourt, J., Cagy, M., Teixeira, S., Riberio, P., Carvalho, R. M., Freire, R., Nardi, E. A., Basile, F. L., & Velasques, B. (2017). How high level of anxiety in panic disorder can interfere in working memory? A computer simulation and electrophysiological investigation. Journal of Psychiatric Research, 95, 238-246.
  • Wang, Y. H., Zhang, X. X., Si, P. C., Xu, Y., Liu, Q., Bian, T. H., Zhang, W. B., Li, L. X., Yan, R. Z. (2018). Prefrontoparietal dysfunction during emotion regulation in anxiety disorder: A meta-analysis of functional magnetic resonance imaging studies. Neuropsychiatric Disease and Treatment, 14, 1183-1198.
  • Weiskopf, N., Mathiak, K., Bock, W. S., Scharnowski, F., Veit, R., Grodd, W., Goebel, R., & Birbaumer, N. (2004). Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Transactions on Biomedical Engineering, 51(6), 966-970.

Neuroimaging findings related to panic disorder: A brief review

Year 2022, , 406 - 415, 26.12.2022
https://doi.org/10.5455/kpd.26024438m000082

Abstract

Panic disorder (PD) is defined by recurrent unanticipated panic attacks and anxiety of losing control, which negatively affects the patients’ quality of life. Various neuroimaging techniques allow to assess brain structure or function and therefore represent important tools to understand the mechanisms related to PD pathology. Current studies have highlighted neural differences between PD patients and healthy controls using MRI, PET, SPECT, or EEG. However, there is an urgent need to discuss findings from various investigations simultaneously in order to obtain a multidimensional understanding of PD pathology, which further allows identifying possible target regions for more effective treatment or prevention strategies. Therefore, the present work briefly reviewed PD related neuroimaging studies published between 2012 and 2021. Relevant articles were searched using a combination of keywords relevant to various neuroimaging techniques (e.g., MRI, MRS, PET, EEG, fNIRS) and to PD (e.g., panic, anxiety, panic disorder). Studies involving patients with comorbid conditions other than agoraphobia and participants aged under 18 were excluded. A total of 20 studies fulfilling inclusion criteria were considered in this review. Most of the reviewed studies point to structural and functional neural changes in regions of the proposed fear network mostly including the hippocampi, thalamic nuclei, amygdala, anterior cingulate corti, insulae and other frontal lobe regions. Such neural changes in PD are thought to result in a hypersensitive fear network affecting normal emotional processing. Finally, studies showed that different treatments can partly reverse these changes, which significantly improves the quality of life in PD patients.

References

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).
  • Asami, T., Nakamura, R., Takaishi, M., Yoshida, H., Yoshimi, A., Whitford, T. J., & Hirayasu, Y. (2018a). Smaller volumes in the lateral and basal nuclei of the amygdala in patients with panic disorder. PLoS ONE, 13(11), 1-8.
  • Asami, T., Takaishi, M., Nakamura, R., Yoshida, H., Yoshimi, A., Whitford, T. J., Inoue, T., & Hirayasu, Y. (2018b). Cortical thickness reductions in the middle frontal cortex in patients with panic disorder. Journal of Affective Disorders, 240, 199-202.
  • Asami, T., Yoshida, H., Takaishi, M., Nakamura, R., Yoshimi, A., Whitford, T. J., & Hirayasu, Y. (2018c). Thalamic shape and volume abnormalities in female patients with panic disorder. PLoS ONE, 13(12), 1-12.
  • Asl, T. M., Nemati, R., Yousefi, F., Salimipour, H., Nabipour, I., & Assadi, M. (2017). A pictorial essay on brain perfusion SPECT in various neuro-psychiatric disorders and intoxication: Though practical, it is not very commonly used. Iranian Journal of Nuclear Me-dicine, 25(Supp 1), 1-14.
  • Baeken, C., Wu, R. G., & Raedt, R. (2017). Dorsomedial frontal cortical metabolic differences of comorbid generalized anxiety disorder in refractory major depression: A [18F] FDG PET brain imaging study. Journal of Affective Disorders, 227, 550-553.
  • Basser, P. J., Mattiello, J., & LeBihan, D. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66(1), 259-267.
  • Brinkmann, L., Buff, C., Feldker, K., Tupak, S. V., Bec-ker, M., Herrmann, M. J., & Straube, T. (2017). Dis-tinct phasic and sustained brain responses and connectivity of amygdala and bed nucleus of the stria terminalis during threat anticipation in panic disorder. Psychological Medicine, 47(15), 2675-2688.
  • Burkhardt, A., Buf, C., Brinkmann, L., Feldker, K., Gathmann, B., Hofmann, D., & Straube, T. (2019). Brain activation during disorder-related script-driven imagery in panic disorder: A pilot study. Scientific Re-ports, 9(1), 2415.
  • Carvalho, M. R., Dias, G. P., Cosci, F., de-Melo-Neto, V. L., Bevilaqua, M. C., Gardino, P. F., & Nardi, A. E. (2010). Current findings of fMRI in panic disorder: Contributions for the fear neurocircuitry and CBT effects. Expert Review of Neurotherapeutics, 10(2), 291-303.
  • Carvalho, R. M., Velasques, B. B., Cagy, M., Marques, B. J., Teixeria, S., Nardi, E. A., Piedade, R., & Ribeiro, P. (2013). Electroencephalographic findings in pa-nic disorder. Trends Psychiatry Psychotherapy. (35)4, 238-251.
  • Deppermann, S., Vennewald, N., Diemer, J., Sickinger, S., Haeussinger, B. F., Notzon, S., Laeger, I., Arolt, V., Ehlis, C. A., Zwanzger, P., & Fallgatter, J. A. (2014). Does rTMS alter neurocognitive functioning in patients with panic disorder/agoraphobia? An fNIRS-based investigation of prefrontal activation during a cognitive task and its modulation via sham-controlled rTMS. BioMed Research International, 1-12.
  • Dresler, T., Attar, C. H., Spitzer, C., Löwe, B., Deckert, J., Büchel, C., Ehlis, A-C., & Fallgatter, A. J. (2012). Neural correlates of the emotional stroop task in panic disorder patients: An event-related fMRI study. Journal of Psychiatric Research, 46(12), 1627-1634.
  • Engel, K., Obst, K., Bandelow, B., Dechent,P, Gruber,0, Zerr, I., Ulrich, K., & Wedeking, D. (2015). Functional MRI activation in response to panic-specific, non-panic aversive, and neutral pictures in patients with pa-nic disorder and healthy controls. European Archives of Psychiatry and Clinical Neuroscience, 266(6), 557-566.
  • Esquivel, G., Schruers, K. R., Maddock, R. J., Colasanti, A., & Griez, E. J. (2010). Review: Acids in the brain: A factor in panic? Journal of Psychopharmacology, 24(5), 639-647.
  • Feldker, K., Heitmann, C. Y., Neumeister, P., Bruch-mann, M., Vibrans, L., Zwitserlood, P., & Straube, T. (2016). Brain responses to disorder-related visual threat in panic disorder. Human Brain Mapping, 37(12), 4439-4453.
  • Ferreri, L., Emmanuel, B., Perrey, S., & Bugaiska, A. (2014). The promise of Near-Infrared Spectroscopy (NIRS) for psychological research: A brief review. L’Année Psychologique, 114(03), 537-569.
  • Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S., & Rezvani, M. (2020). Deep recurrent-convolutional neural network for classification of simultaneous EEG-fNIRS signals. IET Signal Process, (14)3, 142-153.
  • Goodwin, R. D., Brook, J. S., & Cohen, P. (2005). Panic attacks and the risk of personality disorder. Psychological Medicine, 35(2), 227-235.
  • Gorman, J. M., Kent, J. M., Sullivan, G. M., & Coplan, J. D. (2000). Neuroanatomical hypothesis of panic disorder, revised. The American Journal of Psychiatry, 157(4), 493-505.
  • Grambal, A., Hlustik, P., & Prasko, J. (2015). What fMRI can tell us about panic disorder: Bridging the gap between neurobiology and psychotherapy. Neuro-endocrinology Letters, (36)3, 214-225.
  • Harber, L., Hamidian, R., Fatemi, B. A., Wang, Z. K., Dada, O., Messina, G., Monda, M., Chieffi, S., & Luca, D.V. (2019). Meta-analysis of neuropsychological studies in panic disorder patients: Evidence of impaired performance during the emotional stroop task. Neuropsyhobiology, 8(1), 7-13.
  • Held-Poschardt, D., Sterzer, P., Schlagenhauf, F., Pehrs, C., Wittmann, A., Stoy, M., Hägele, C., Knutson, B., Heinz, A., & Ströhle, A. (2017). Reward and loss anticipation in panic disorder: An fMRI study. Psychiatry Research: Neuroimaging, 271, 111-117.
  • Hyde, J., Ryan, M. K., & Waters, M. A. (2019). Psychophysiological markers of fear and anxiety. Current Psychiatry Reports, 21(7), 56.
  • Kang, E. H., Park J. E., Lee K. H., Cho Y. S., Kim J. J., & Yu B. H. (2012). Regional brain metabolism and treatment response in panic disorder patients: A PET study. Neuropsychobiology 66, 106-111.
  • Kim, B., Kim, J. H., Kim, M. K., Lee, K. S., Kim, Y., Choi, T. K., Kim, Y. T., & Lee, S. H. (2014). Frontal white matter alterations in short-term medicated panic disorder patients without comorbid conditions: A diffusion tensor imaging study. PLOS One, 9(4), 1-8.
  • Lai, C. H. (2018). Panic disorder neuroimaging focused on MRI. In Y.-K. Kim (Ed.), Psychology research progress. Panic disorder: Assessment, management and research insights (p. 109-131). Nova Science Publishers.
  • Lai, C. H. (2019). Fear network model in panic disorder: The past and the future. Psychiatry Investigation, 16(1), 16-26.
  • Lai, C. H., & Wu, Y. T. (2013a). Changes in gray matter volume of remitted first-episode, drug-naïve, panic disorder patients after 6-week antidepressant therapy. Journal of Psychiatric Research, 47(1), 122-127.
  • Lai, C. H., & Wu, Y. T. (2013b). Fronto-occipital fasciculus, corpus callosum and superior longitudinal fasciculus tract alterations of first-episode, medication-naïve and late-onset panic disorder patients. Journal of Affective Disorders, 146(3), 378-382.
  • Li, R., Zhao, C., Wang, C., Wang, J., & Zhang, Y. (2020). Enhancing FNIRS analysis using EEG rhythmic signatures: An EEG-informed fNIRS analysis study. IEEE Transactions on Biomedical Engineering.
  • Long, Z., Medlock, C., Dzemidzic, M., Shin, Y. W., Goddard, A. W., & Dydak, U. (2013). Decreased GA-BA levels in anterior cingulate cortex/medial prefrontal cortex in panic disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 44, 131-135.
  • Maddock, R. J., Buonocore, M. H., Miller, A. R., Yoon, J. H., Soosman, S. K., & Unruh, A. M. (2013). Ab-normal activity-dependent brain lactate and glutamate + glutamine responses in panic disorder. Biological Psychiatry, 73(11), 1111-1119.
  • Popa, L. L., Dragos, H., Pantelemon, C., Rosu, V. O., & Strilciuc, S. (2020). The role of quantitative EEG in the diagnosis of neuropsychiatric disorders. Journal of Medicine and Life, 13(1), 8-15.
  • Rentzsch, J., Thoma, L, Gaudlitz, K., Tanzer, N., Galli-nat, J., Kathmann, N., Ströhle, A., Plag, J. (2019). Reduced sensitivity to non-fear-related stimulus changes in panic disorder. Neuropsychobiology. 1-7.
  • Seo, H. J., Choi, Y. H., Chung, Y. A., Rho, W., & Chae, J. H. (2014). Changes in cerebral blood flow af-ter cognitive behavior therapy in patients with panic disorder: A SPECT study. Neuropsychiatric Disease and Treatment, 10, 661-669.
  • Shin, Y. W., Dzemidzic, M., Jo, H. J., Long, Z., Med-lock, C., Dydak, U., & Goddard, A. W. (2013). Increased resting-state functional connectivity between the anterior cingulate cortex and the precuneus in panic disorder: Resting-state connectivity in panic disorder. Journal of Affective Disorders, 150(3), 1091-1095.
  • Silva, G. W. L., Aprigio, D., Giacomo, J., Gongora, M., Budde, H., Bittencourt, J., Cagy, M., Teixeira, S., Riberio, P., Carvalho, R. M., Freire, R., Nardi, E. A., Basile, F. L., & Velasques, B. (2017). How high level of anxiety in panic disorder can interfere in working memory? A computer simulation and electrophysiological investigation. Journal of Psychiatric Research, 95, 238-246.
  • Wang, Y. H., Zhang, X. X., Si, P. C., Xu, Y., Liu, Q., Bian, T. H., Zhang, W. B., Li, L. X., Yan, R. Z. (2018). Prefrontoparietal dysfunction during emotion regulation in anxiety disorder: A meta-analysis of functional magnetic resonance imaging studies. Neuropsychiatric Disease and Treatment, 14, 1183-1198.
  • Weiskopf, N., Mathiak, K., Bock, W. S., Scharnowski, F., Veit, R., Grodd, W., Goebel, R., & Birbaumer, N. (2004). Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Transactions on Biomedical Engineering, 51(6), 966-970.
There are 40 citations in total.

Details

Primary Language English
Subjects Clinical Psychology
Journal Section Reviews
Authors

Dilara Kazancı This is me

Seren Saltoğlu This is me

Emel Erdoğdu This is me 0000-0002-2817-5596

Publication Date December 26, 2022
Submission Date November 23, 2021
Published in Issue Year 2022

Cite

APA Kazancı, D., Saltoğlu, S., & Erdoğdu, E. (2022). Neuroimaging findings related to panic disorder: A brief review. Journal of Clinical Psychology Research, 6(3), 406-415. https://doi.org/10.5455/kpd.26024438m000082