Within- and Between-Session Prefrontal Cortex Response to Virtual Reality Exposure Therapy for Acrophobia
Open accessAbstract
Exposure Therapy (ET) has demonstrated its efficacy in the treatment of phobias, anxiety and PTSD, however, it suffers high drop- out rate because of to low or to high patient engagement in treatment. Virtual Reality Exposure Therapy (VRET) is comparably effective regarding symptom reduction and offers an alternative tool to facilitate engagement for avoidant participants. Neuroimaging studies have demonstrated that both exposure therapy and virtual reality exposure therapy normalise brain activity within a fear circuit. However, previous studies have employed brain imaging technology which restricts people’s movement and hides their body, surroundings and therapist from view. This is at odds with the way engagement is typically controlled. We used a novel combination of neural imaging and virtual reality technology - Functional Near-Infrared Spectroscopy (fNIRS) and Immersive Projection Technology (IPT), to avoid these limitations. Although there are a few studies that have investigated the effect of VRET on a brain function after the treatment, the present study utilised technologies which promote ecological validity to measure brain changes after VRET treatment. Furthermore, there are no studies that have measured brain activity within VRET session. In this study brain activity within the prefrontal cortex was measured during three consecutive exposure sessions. N=13 acrophobic volunteers were asked to walk on a virtual plank with a 6m drop below. Changes in oxygenated and deoxygenated hemoglobin concentrations in the prefrontal cortex were measured in three blocks using fNIRS. Consistent with previous fMRI studies, the analysis showed decreased activity in the dorsolateral and medial prefrontal cortex during first exposure. The activity increased toward normal across three sessions. The study demonstrates potential efficacy of a method for measuring within-session neural response to virtual stimuli that could be replicated within clinics and research institutes, with equipment better suited to an exposure therapy session and a fraction of the cost, when compared to fMRI. This has application in widening access to, and increasing ecological validity of, immersive neuroimaging across understanding, diagnosis, assessment, and treatment of, a range of mental disorders such as phobia, anxiety, and post-traumatic stress disorder or addictions.
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VR exposure therapy (VRET) is more easily accepted by most patients with a specific phobia than traditional in-vivo exposure therapy.
“Studies have shown that VR exposure therapy (VRET) would be more easily accepted by most patients with a specific phobia than traditional (in-vivo) ET, which may suggest an opportunity for the improvement and application of this sort of treatments (Landowska et al., 2018).”
From Virtual reality and psychedelics for the treatment of psychiatric disease: A systematic literature review (2020) · cites this paper as Landowska et al., 2018
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Research works printed but not linked: 92
- Åhs F. Gingnell M. Furmark T. Fredrikson M. (2017). Within-session effect of repeated stress exposure on extinction circuitry function in social anxiety disorder. Psychiatry Res. Neuroimaging 261, 85– 90. 10.1016/j.pscychresns.2017.01.009 28167379 · DOI
- Alvarez R. P. Biggs A. Chen G. Pine D. S. Grillon C. (2008). Contextual fear conditioning in humans: cortical-hippocampal and amygdala contributions. J. Neurosci. 28, 6211– 6219. 10.1523/jneurosci.1246-08.2008 18550763 PMC2475649 · DOI · Paper page
- American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). Arlington, VA: American Psychiatric Association.
- Aron A. R. (2007). The neural basis of inhibition in cognitive control. Neuroscientist 13, 214– 228. 10.1177/1073858407299288 17519365 · DOI · Paper page
- Ayaz H. Shewokis P. A. Curtin A. Izzetoglu M. Izzetoglu K. Onaral B. (2011). Using MazeSuite and functional near infrared spectroscopy to study learning in spatial navigation. J. Vis. Exp. 56: 3443. 10.3791/3443 22005455 PMC3227178 · DOI
- Balconi M. Ferrari C. (2013). Left DLPFC rTMS stimulation reduced the anxiety bias effect or how to restore the positive memory processing in high-anxiety subjects. Psychiatry Res. 209, 554– 559. 10.1016/j.psychres.2013.03.032 23601793 · DOI
- Ball T. M. Stein M. B. Ramsawh H. J. Campbell-Sills L. Paulus M. P. (2014). Single-subject anxiety treatment outcome prediction using functional neuroimaging. Neuropsychopharmacology 39, 1254– 1261. 10.1038/npp.2013.328 24270731 PMC3957121 · DOI
- Clemente M. Rey B. Rodriguez-Pujadas A. Breton-Lopez J. Barros-Loscertales A. Baños R. M.. (2014). A functional magnetic resonance imaging assessment of small animals’ phobia using virtual reality as a stimulus. JMIR Serious Games 2: e6. 10.2196/games.2836 25654753 PMC4307824 · DOI
- Coelho C. M. Santos J. A. Silva C. Wallis G. Tichon J. Hine T. J. (2008). The role of self-motion in acrophobia treatment. Cyberpsychol. Behav. 11, 723– 725. 10.1089/cpb.2008.0023 18991529 · DOI
- Cohen D. C. (1977). Comparison of self-report and overt-behavioral procedures for assessing acrophobia. Behav. Ther. 8, 17– 23. 10.1016/s0005-7894(77)80116-0 · DOI · Paper page
- Craske M. Kircanski K. Zelikowsky M. Mystkowski J. Chowdhury N. Baker A. (2008). Optimizing inhibitory learning during exposure therapy. Behav. Res. Ther. 46, 5– 27. 10.1016/j.brat.2007.10.003 18005936 · DOI · Paper page
- Craske M. G. Liao B. Brown L. Vervliet B. (2012). The role of inhibition in exposure therapy. J. Exp. Psychopathol. 3: jep.026511 10.5127/jep.026511 · DOI · Paper page
- Cruz-Neira C. Sandin D. J. DeFanti T. A. (1993). “ Surround-screen projection-based virtual reality: the design and implementation of the CAVE,” in Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques (Anaheim, CA: ACM), 135– 142.
- Davidson R. J. Irwin W. (1999). The functional neuroanatomy of emotion and affective style. Trends Cogn. Sci. 3, 11– 21. 10.1016/s1364-6613(98)01265-0 10234222 · DOI · Paper page
- Delpy D. T. Cope M. Van Der Zee P. Arridge S. Wray S. Wyatt J. (1988). Estimation of optical pathlength through tissue from direct time of flight measurement. Phys. Med. Biol. 33, 1433– 1442. 10.1088/0031-9155/33/12/008 3237772 · DOI
- Diemer J. Alpers G. W. Peperkorn H. M. Shiban Y. Mühlberger A. (2015). The impact of perception and presence on emotional reactions: a review of research in virtual reality. Front. Psychol. 6: 26. 10.3389/fpsyg.2015.00026 25688218 PMC4311610 · DOI
- Diemer J. Lohkamp N. Mühlberger A. Zwanzger P. (2016). Fear and physiological arousal during a virtual height challenge-effects in patients with acrophobia and healthy controls. J. Anxiety Disord. 37, 30– 39. 10.1016/j.janxdis.2015.10.007 26600469 · DOI
- Duval E. R. Javanbakht A. Liberzon I. (2015). Neural circuits in anxiety and stress disorders: a focused review. Ther. Clin. Risk Manag. 11, 115– 126. 10.2147/tcrm.s48528 25670901 PMC4315464 · DOI
- Etkin A. Büchel C. Gross J. J. (2015). The neural bases of emotion regulation. Nat. Rev. Neurosci. 16, 693– 700. 10.1038/nrn4044 26481098 · DOI · Paper page
- Etkin A. Wager T. D. (2007). Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. Am. J. Psychiatry 164, 1476– 1488. 10.1176/appi.ajp.2007.07030504 17898336 PMC3318959 · DOI · Paper page
- Essenpreis M. Elwell C. E. Cope M. van der Zee P. Arridge S. R. Delpy D. T. (1993). Spectral dependence of temporal point spread functions in human tissue. Applied Optics 32, 418– 424. 10.1364/AO.32.000418 20802707 · DOI
- Fazli S. Mehnert J. Steinbrink J. Curio G. Villringer A. Müller K.-R.. (2012). Enhanced performance by a hybrid NIRS-EEG brain computer interface. Neuroimage 59, 519– 529. 10.1016/j.neuroimage.2011.07.084 21840399 · DOI
- Fishburn F. A. Norr M. E. Medvedev A. V. Vaidya C. J. (2014). Sensitivity of fNIRS to cognitive state and load. Front. Hum. Neurosci. 8: 76. 10.3389/fnhum.2014.00076 24600374 PMC3930096 · DOI
- Friston K. (2007). “ Dynamic causal models for fMRI,” in Statistical Parametric Mapping, eds Friston K. J. Ashburner J. T. Kiebel S. J. Nichols T. E. Penny W. D. (Cambridge, MA: Academic Press), 541– 560.
- Gogan P. (1970). The startle and orienting reactions in man. A study of their characteristics and habituation. Brain Res. 18, 117– 135. 10.1016/0006-8993(70)90460-9 5418408 · DOI
- Hartley C. A. Phelps E. A. (2010). Changing fear: the neurocircuitry of emotion regulation. Neuropsychopharmacology 35, 136– 146. 10.1038/npp.2009.121 19710632 PMC3055445 · DOI
- Hauner K. K. K. Mineka S. Voss J. L. Paller K. A. (2012). Exposure therapy triggers lasting reorganization of neural fear processing. Proc. Natl. Acad. Sci. U S A 109, 9203– 9208. 10.1073/pnas.1210927109 22623532 PMC3384187 · DOI
- Hauptmann B. Reinhart E. Brandt S. A. Karni A. (2005). The predictive value of the leveling off of within-session performance for procedural memory consolidation. Cogn. Brain Res. 24, 181– 189. 10.1016/j.cogbrainres.2005.01.012 15993756 · DOI · Paper page
- Hayes S. A. Hope D. A. Heimberg R. G. (2008). The pattern of subjective anxiety during in-session exposures over the course of cognitive-behavioral therapy for clients with social anxiety disorder. Behav. Ther. 39, 286– 299. 10.1016/j.beth.2007.09.001 18721642 PMC3962681 · DOI
- Holper L. Muehlemann T. Scholkmann F. Eng K. Kiper D. Wolf M. (2010). Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS). J. Neuroeng. Rehabil. 7: 57. 10.1186/1743-0003-7-57 21122154 PMC3014953 · DOI
- Hoshi Y. Tamura M. (1993). Dynamic multichannel near-infrared optical imaging of human brain activity. J. Appl. Physiol. 75, 1842– 1846. 10.1152/jappl.1993.75.4.1842 8282640 · DOI
- Irani F. Platek S. M. Bunce S. Ruocco A. C. Chute D. (2007). Functional near infrared spectroscopy (fNIRS): an emerging neuroimaging technology with important applications for the study of brain disorders. Clin. Neuropsychol. 21, 9– 37. 10.1080/13854040600910018 17366276 · DOI
- Islam M. K. Rastegarnia A. Yang Z. (2016). Methods for artifact detection and removal from scalp EEG: a review. Neurophysiol. Clin. 46, 287– 305. 10.1016/j.neucli.2016.07.002 27751622 · DOI
- Jovanovic T. Kazama A. Bachevalier J. Davis M. (2012). Impaired safety signal learning may be a biomarker of PTSD. Neuropharmacology 62, 695– 704. 10.1016/j.neuropharm.2011.02.023 21377482 PMC3146576 · DOI · Paper page
- Jovanovic T. Norrholm S. D. (2011). Neural mechanisms of impaired fear inhibition in posttraumatic stress disorder. Front. Behav. Neurosci. 5: 44. 10.3389/fnbeh.2011.00044 21845177 PMC3145245 · DOI
- Jovanovic T. Norrholm S. D. Fennell J. E. Keyes M. Fiallos A. M. Myers K. M.. (2009). Posttraumatic stress disorder may be associated with impaired fear inhibition: relation to symptom severity. Psychiatry Res. 167, 151– 160. 10.1016/j.psychres.2007.12.014 19345420 PMC2713500 · DOI · Paper page
- Juan M. C. Pérez D. (2009). Comparison of the levels of presence and anxiety in an acrophobic environment viewed via HMD or CAVE. Presence Teleoperator Virtual Env. 18, 232– 248. 10.1162/pres.18.3.232 · DOI
- Kato T. Kamei A. Takashima S. Ozaki T. (1993). Human visual cortical function during photic stimulation monitoring by means of near-infrared spectroscopy. J. Cereb. Blood Flow Metab. 13, 516– 520. 10.1038/jcbfm.1993.66 8478409 · DOI
- Kennedy R. S. Fowlkes J. E. (1992). Simulator sickness is polygenic and polysymptomatic: implications for research. Int. J. Aviat. Psychol. 2, 23– 38. 10.1207/s15327108ijap0201_2 · DOI
- Koessler L. Maillard L. Benhadid A. Vignal J. P. Felblinger J. Vespignani H.. (2009). Automated cortical projection of EEG sensors: anatomical correlation via the international 10–10 system. Neuroimage 46, 64– 72. 10.1016/j.neuroimage.2009.02.006 19233295 · DOI
- Landowska A. Royle S. Eachus P. Roberts D. (2018). “ Testing the potential of combining functional near-infrared spectroscopy with different virtual reality displays-oculus rift and oCtAVE,” in Augmented Reality and Virtual Reality: Empowering Human, Place and Business, eds Jung T. tom Dieck M. (Switzerland: Springer International Publishing AG), 309– 321.
- Lange K. Williams L. M. Young A. W. Bullmore E. T. Brammer M. J. Williams S. C. R.. (2003). Task instructions modulate neural responses to fearful facial expressions. Biol. Psychiatry 53, 226– 232. 10.1016/s0006-3223(02)01455-5 12559655 · DOI · Paper page
- Lee S. H. Han D. H. Oh S. Lyoo I. K. Lee Y. S. Renshaw P. F.. (2009). Quantitative electroencephalographic (qEEG) correlates of craving during virtual reality therapy in alcohol-dependent patients. Pharmacol. Biochem. Behav. 91, 393– 397. 10.1016/j.pbb.2008.08.014 18771681 · DOI · Paper page
- Liberzon I. Taylor S. F. Amdur R. Jung T. D. Chamberlain K. R. Minoshima S.. (1999). Brain activation in PTSD in response to trauma-related stimuli. Biol. Psychiatry 45, 817– 826. 10.1016/s0006-3223(98)00246-7 10202568 · DOI · Paper page
- Lipka J. Hoffmann M. Miltner W. H. R. Straube T. (2014). Effects of cognitive-behavioral therapy on brain responses to subliminal and supraliminal threat and their functional significance in specific phobia. Biol. Psychiatry 76, 869– 877. 10.1016/j.biopsych.2013.11.008 24393393 · DOI
- Liu N. Cui X. Bryant D. M. Glover G. H. Reiss A. L. (2015). Inferring deep-brain activity from cortical activity using functional near-infrared spectroscopy. Biomed. Opt. Express 6, 1074– 1089. 10.1364/boe.6.001074 25798327 PMC4361422 · DOI
- Meehan M. Insko B. Whitton M. Brooks F. P. (2002). “ Physiological measures of presence in stressful virtual environments,” in Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques—SIGGRAPH ’02 (New York, NY: ACM), 645– 652.
- Moeller F. G. Barratt E. S. Dougherty D. M. Schmitz J. M. Swann A. C. (2001). Psychiatric aspects of impulsivity. Am. J. Psychiatry 158, 1783– 1793. 10.1176/appi.ajp.158.11.1783 11691682 · DOI · Paper page
- Moon J. Lee J.-H. (2009). Cue exposure treatment in a virtual environment to reduce nicotine craving: a functional MRI study. Cyberpsychol. Behav. 12, 43– 45. 10.1089/cpb.2008.0032 19025463 · DOI
- Moran C. G. Webb C. Brohi K. Smith M. Willett K. (2017). Lessons in planning from mass casualty events in UK. BMJ 359: j4765. 10.1136/bmj.j4765 29070605 · DOI
- Moro S. B. Bisconti S. Muthalib M. Spezialetti M. Cutini S. Ferrari M.. (2014). A semi-immersive virtual reality incremental swing balance task activates prefrontal cortex: a functional near-infrared spectroscopy study. Neuroimage 85, 451– 460. 10.1016/j.neuroimage.2013.05.031 23684867 · DOI
- Muhanna M. A. (2015). Virtual reality and the CAVE: taxonomy, interaction challenges and research directions. J. King Saud Univ. 27, 344– 361. 10.1016/j.jksuci.2014.03.023 · DOI
- Naseer N. Hong K.-S. (2015). fNIRS-based brain-computer interfaces: a review. Front. Hum. Neurosci. 9: 3. 10.3389/fnhum.2015.00003 25674060 PMC4309034 · DOI · Paper page
- Nomura M. Ohira H. Haneda K. Iidaka T. Sadato N. Okada T.. (2004). Functional association of the amygdala and ventral prefrontal cortex during cognitive evaluation of facial expressions primed by masked angry faces: an event-related fMRI study. Neuroimage 21, 352– 363. 10.1016/j.neuroimage.2003.09.021 14741673 · DOI
- Norcross J. C. Pfund R. A. Prochaska J. O. (2013). Psychotherapy in 2022: a Delphi poll on its future. Prof. Psychol. Res. Pr. 44, 363– 370. 10.1037/a0034633 PMC10485922 37694263 · DOI · Paper page
- Norton P. J. Hayes-Skelton S. A. Klenck S. C. (2011). What happens in session does not stay in session: changes within exposures predict subsequent improvement and dropout. J. Anxiety Disord. 25, 654– 660. 10.1016/j.janxdis.2011.02.006 21419597 PMC3089678 · DOI
- Ochsner K. N. Bunge S. A. Gross J. J. Gabrieli J. D. E. (2002). Rethinking feelings: an FMRI study of the cognitive regulation of emotion. J. Cogn. Neurosci. 14, 1215– 1229. 10.1162/089892902760807212 12495527 · DOI · Paper page
- Ochsner K. N. Gross J. J. (2005). The cognitive control of emotion. Trends Cogn. Sci. 9, 242– 249. 10.1016/j.tics.2005.03.010 15866151 · DOI · Paper page
- Ongür D. Price J. L. (2000). The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans. Cereb. Cortex 10, 206– 219. 10.1093/cercor/10.3.206 10731217 · DOI · Paper page
- Piper S. K. Krueger A. Koch S. P. Mehnert J. Habermehl C. Steinbrink J.. (2014). A wearable multi-channel fNIRS system for brain imaging in freely moving subjects. Neuroimage 85, 64– 71. 10.1016/j.neuroimage.2013.06.062 23810973 PMC3859838 · DOI
- Powers M. Emmelkamp P. (2008). Virtual reality exposure therapy for anxiety disorders: a meta-analysis. J. Anxiety Disord. 22, 561– 569. 10.1016/j.janxdis.2007.04.006 17544252 · DOI · Paper page
- Quirk G. J. Likhtik E. Pelletier J. G. Paré D. (2003). Stimulation of medial prefrontal cortex decreases the responsiveness of central amygdala output neurons. J. Neurosci. 23, 8800– 8807. 10.1523/JNEUROSCI.23-25-08800.2003 14507980 PMC6740415 · DOI · Paper page
- Riva G. (2005). Virtual reality in psychotherapy: review. Cyberpsychol. Behav. 8, 220– 230. 10.1089/cpb.2005.8.220 15971972 · DOI
- Rizzo A. John B. Newman B. Williams J. Hartholt A. Lethin C. (2013). Virtual reality as a tool for delivering PTSD exposure therapy and stress resilience training. Mil. Behav. Health 1, 52– 58. 10.1080/21635781.2012.721064 · DOI
- Rizzo A. Rothbaum B. Graap K. (2007). “ Virtual reality applications for the treatment of combat-related PTSD,” in Routledge Psychosocial Stress Series. Combat Stress Injury: Theory, Research, and Management, eds Figley C. R. Nash W. P. (New York, NY: Routledge/Taylor and Francis Group), 183– 204.
- Roberts D. J. Fairchild A. Campion S. Wolff R. Garcia A. (2016). “ Bringing the client and therapist together in virtual reality telepresence exposure therapy,” in Proceedings of the 11th International Conference Disability, Virtual Reality and Associated Technologies (Los Angeles, CA), 157– 163.
- Robinson M. E. Staud R. Price D. D. (2013). Pain measurement and brain activity: will neuroimages replace pain ratings? J. Pain 14, 323– 327. 10.1016/j.jpain.2012.05.007 23548484 PMC3790328 · DOI
- Rodríguez A. Rey B. Alcañiz M. (2013). Evaluating virtual reality mood induction procedures with portable EEG devices. Stud. Health Technol. Inform. 191, 131– 135. 10.3233/978-1-61499-282-0-131 23792859 · DOI
- Rodríguez A. Rey B. Clemente M. Wrzesien M. Alcañiz M. (2015). Assessing brain activations associated with emotional regulation during virtual reality mood induction procedures. Expert Syst. Appl. 42, 1699– 1709. 10.1016/j.eswa.2014.10.006 · DOI
- Roffman J. L. Marci C. D. Glick D. M. Dougherty D. D. Rauch S. L. (2005). Neuroimaging and the functional neuroanatomy of psychotherapy. Psychol. Med. 35, 1385– 1398. 10.1017/s0033291705005064 16164763 · DOI
- Rothbaum B. O. Hodges L. (1999). The use of virtual reality exposure in the treatment of anxiety disorders. Behav. Modif. 23, 507– 525. 10.1177/0145445599234001 10533438 · DOI
- Rothbaum B. O. Hodges L. Watson B. A. Kessler G. D. Opdyke D. (1996). Virtual reality exposure therapy in the treatment of fear of flying: a case report. Behav. Res. Ther. 34, 477– 481. 10.1016/0005-7967(96)00007-1 8687369 · DOI
- Roy M. J. Francis J. Friedlander J. Banks-Williams L. Lande R. G. Taylor P.. (2010). Improvement in cerebral function with treatment of posttraumatic stress disorder. Ann. N Y Acad. Sci. 1208, 142– 149. 10.1111/j.1749-6632.2010.05689.x 20955336 · DOI
- Sander I. Roberts D. J. Smith C. Otto O. Wolff R. (2006). “ Investigating the impact of method of immersion on the naturalness of balance and reach activities,” in Proceedings of the 6th International Conference on Disability, Virtual Reality and Associated Technologies (ICDVRAT 2006) (Denmark), 317– 324.
- Schienle A. Schäfer A. Hermann A. Rohrmann S. Vaitl D. (2007). Symptom provocation and reduction in patients suffering from spider phobia: an fMRI study on exposure therapy. Eur. Arch. Psychiatry Clin. Neurosci. 257, 486– 493. 10.1007/s00406-007-0754-y 17902000 · DOI
- Schweizer T. A. Kan K. Hung Y. Tam F. Naglie G. Graham S. J. (2013). Brain activity during driving with distraction: an immersive fMRI study. Front. Hum. Neurosci. 7: 53. 10.3389/fnhum.2013.00053 23450757 PMC3584251 · DOI
- Seraglia B. Gamberini L. Priftis K. Scatturin P. Martinelli M. Cutini S. (2011). An exploratory fNIRS study with immersive virtual reality: a new method for technical implementation. Front. Hum. Neurosci. 5: 176. 10.3389/fnhum.2011.00176 22207843 PMC3246589 · DOI
- Simone L. K. Schultheis M. T. Rebimbas J. Millis S. R. (2006). Head-mounted displays for clinical virtual reality applications: pitfalls in understanding user behavior while using technology. Cyberpsychol. Behav. 9, 591– 602. 10.1089/cpb.2006.9.591 17034327 · DOI
- Slater M. Sanchez-Vives M. V. (2016). Enhancing our lives with immersive virtual reality. Front. Robot. AI 3: 74 10.3389/frobt.2016.00074 · DOI · Paper page
- Slater M. Steed A. McCarthy J. Maringelli F. (1998). The influence of body movement on subjective presence in virtual environments. Hum. Factors 40, 469– 477. 10.1518/001872098779591368 9849105 · DOI
- Steinman S. A. Teachman B. A. (2011). Cognitive processing and acrophobia: validating the Heights Interpretation Questionnaire. J. Anxiety Disord. 25, 896– 902. 10.1016/j.janxdis.2011.05.001 21641766 PMC3152668 · DOI · Paper page
- Straube T. Glauer M. Dilger S. Mentzel H. J. Miltner W. H. R. (2006). Effects of cognitive-behavioral therapy on brain activation in specific phobia. Neuroimage 29, 125– 135. 10.1016/j.neuroimage.2005.07.007 16087353 · DOI
- Takehara K. Kawahara S. Kirino Y. (2003). Time-dependent reorganization of the brain components underlying memory retention in trace eyeblink conditioning. J. Neurosci. 23, 9897– 9905. 10.1523/JNEUROSCI.23-30-09897.2003 14586019 PMC6740886 · DOI
- Török Á. Sulykos I. Kecskés-Kovács K. Persa G. Galambos P. Kóbor A. (2014). “ Comparison between wireless and wired EEG recordings in a virtual reality lab: case report,” in Proceedings of the 5th IEEE International Conference on Cognitive Infocommunications, (CogInfoCom) (Vietri Sul Mare: IEEE), 599– 603.
- van Minnen A. Foa E. B. (2006). The effect of imaginal exposure length on outcome of treatment for PTSD. J. Trauma. Stress 19, 427– 438. 10.1002/jts.20146 16929519 · DOI
- Veltman D. J. Tuinebreijer W. E. Winkelman D. Lammertsma A. A. Witter M. P. Dolan R. J.. (2004). Neurophysiological correlates of habituation during exposure in spider phobia. Psychiatry Res. 132, 149– 158. 10.1016/j.pscychresns.2004.09.001 15598549 · DOI
- Villringer A. Planck J. Hock C. Schleinkofer L. Dirnagl U. (1993). Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci. Lett. 154, 101– 104. 10.1016/0304-3940(93)90181-j 8361619 · DOI
- Wilhelm F. H. Pfaltz M. C. Gross J. J. Mauss I. B. Kim S. I. Wiederhold B. K. (2005). Mechanisms of virtual reality exposure therapy: the role of the behavioral activation and behavioral inhibition systems. Appl. Psychophysiol. Biofeedback 30, 271– 284. 10.1007/s10484-005-6383-1 16167191 · DOI
- Williams L. M. Kemp A. H. Felmingham K. Barton M. Olivieri G. Peduto A.. (2006). Trauma modulates amygdala and medial prefrontal responses to consciously attended fear. Neuroimage 29, 347– 357. 10.1016/j.neuroimage.2005.03.047 16216534 · DOI · Paper page
- Wolpe J. (1973). The Practice of Behavior Therapy. 2nd Edn. New York, NY: Pergamon Press.
- Ye J. C. Tak S. Jang K. E. Jung J. Jang J. (2009). NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy. Neuroimage 44, 428– 447. 10.1016/j.neuroimage.2008.08.036 18848897 · DOI
- Zlomke K. Davis T. E. (2008). One-session treatment of specific phobias: a detailed description and review of treatment efficacy. Behav. Ther. 39, 207– 223. 10.1016/j.beth.2007.07.003 18721635 · DOI
- Authors
- Landowska, A., Roberts, D., Eachus, P., & Barrett, A.
- Affiliations
- University of Salford (GB)
- Pennine Care NHS Foundation Trust (GB)
- Corresponding author
- Landowska, Aleksandra
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2018-11-01
- Volume
- 12
- Pages
- 362-362
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC6221970
- OpenAlex
- W2899296763
- Cited by
- 43
- References
- 126
- Citations by year
- 2025: 7 · 2024: 5 · 2023: 3 · 2022: 8 · 2021: 8 · 2020: 9 · 2019: 3
- FWCI
- 4.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Salford Institutional Repository (University of Salford) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- virtual reality exposure therapy, acrophobia, prefrontal cortex, functional near-infrared spectroscopy, ecological validity, fear circuit, dorsolateral prefrontal cortex, medial prefrontal cortex, hemoglobin oxygenation, treatment engagement, phobia treatment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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