Decoding the traumatic memory among women with PTSD: Implications for neurocircuitry models of PTSD and real-time fMRI neurofeedback

PLoS ONE

Volumn 10, Issue 8, 2015, Pages

  Cisler, Josh M ^a   Bush, Keith ^b   James, G Andrew ^a   Smitherman, Sonet ^a   Kilts, Clinton D ^a  

^a UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

^b University of Arkansas at Little Rock ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENZODIAZEPINE; GABAPENTIN; LAMOTRIGINE; SEROTONIN UPTAKE INHIBITOR; ZOLPIDEM;

ADULT; ARTICLE; ASSAULT; BRAIN FUNCTION; BRAIN REGION; CLINICAL ARTICLE; CONNECTOME; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIPPOCAMPUS; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MEMORY DISORDER; MENTAL TASK; MULTIVARIATE ANALYSIS; NEUROFEEDBACK; NUCLEAR MAGNETIC RESONANCE SCANNER; PARAMETERS; PERCEPTIVE DISCRIMINATION; PHYSICAL ASSAULT; POSTTRAUMATIC STRESS DISORDER; PREDICTION; RECALL; REGIONS OF INTEREST; RELIABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SEXUAL ASSAULT; SPATIAL SMOOTHING; SYMPTOM; VOXEL WISE APPROACH; AMYGDALA; ANXIETY; AUDITORY STIMULATION; BIOLOGICAL MODEL; BRAIN MAPPING; ETIOLOGY; HEMISPHERIC DOMINANCE; MACHINE LEARNING; MEMORY; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOLOGICAL MODEL; PSYCHOLOGY; SEXUAL CRIME; VIOLENCE;

ACOUSTIC STIMULATION; ADULT; AMYGDALA; ANXIETY; BRAIN MAPPING; DOMINANCE, CEREBRAL; FEMALE; HIPPOCAMPUS; HUMANS; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MEMORY; MENTAL RECALL; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; MULTIVARIATE ANALYSIS; NEURAL PATHWAYS; NEUROFEEDBACK; PHOTIC STIMULATION; REPRODUCIBILITY OF RESULTS; SEX OFFENSES; STRESS DISORDERS, POST-TRAUMATIC; VIOLENCE;

EID: 84941946239     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0134717     Document Type: Article

References (46)

1. APA (2013) Diagnostic and Statistical Manual of Mental Health Disorders ( 5th ed.). Washington,DC: Author.
2. Kessler RC (2000) Posttraumatic stress disorder: the burden to the individual and to society. 2000/04/13: 4-12.
3. Olatunji BO, Cisler JM, Tolin DF (2007) Quality of life in the anxiety disorders: a meta-analytic review. 2007/03/09: 572-581. S0272-7358(07)00036-0 [pii] doi: 10.1016/j.cpr.2007.01.015
4. Rauch SL, Shin LM, Phelps EA (2006) Neurocircuitry models of posttraumatic stress disorder and extinction: human neuroimaging research-past, present, and future. 2006/08/22: 376-382. S0006-3223(06)00796-7 [pii] doi: 10.1016/j.biopsych.2006.06.004
5. Shin LM, Rauch SL, Pitman RK (2006) Amygdala, medial prefrontal cortex, and hippocampal function in PTSD. 2006/08/08: 67-79. 1071/1/67 [pii] doi: 10.1196/annals.1364.007
6. Admon R, Milad MR, Hendler T (2013) A causal model of post-traumatic stress disorder: disentangling predisposed from acquired neural abnormalities. Trends Cogn Sci 17: 337-347. S1364-6613(13) 00104-6 [pii];doi: 10.1016/j.tics.2013.05.005 PMID: 23768722
7. Pitman RK, Rasmusson AM, Koenen KC, Shin LM, Orr SP, Gilbertson MW, et al. (2012) Biological studies of post-traumatic stress disorder. Nat Rev Neurosci 13: 769-787. nrn3339 [pii];doi: 10.1038/nrn3339 PMID: 23047775
8. Patel R, Spreng RN, Shin LM, Girard TA (2012) Neurocircuitry models of posttraumatic stress disorder and beyond: a meta-analysis of functional neuroimaging studies. Neurosci Biobehav Rev 36: 2130-2142. S0149-7634(12)00093-0 [pii];doi: 10.1016/j.neubiorev.2012.06.003 PMID: 22766141
9. Sartory G, Cwik J, Knuppertz H, Schurholt B, Lebens M, Seitz RJ, et al. (2013) In search of the trauma memory: a meta-analysis of functional neuroimaging studies of symptom provocation in posttraumatic stress disorder (PTSD). PLoS One 8: e58150. doi: 10.1371/journal.pone.0058150;PONE-D-12-32657 [pii]. PMID: 23536785
10. Norman KA, Polyn SM, Detre GJ, Haxby JV (2006) Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends Cogn Sci 10: 424-430. S1364-6613(06)00184-7 [pii];doi: 10.1016/j.tics.2006.07.005 PMID: 16899397
11. De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E (2008) Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. 2008/08/02: 44-58. S1053-8119(08)00785-4 [pii] doi: 10.1016/j.neuroimage.2008.06.037
12. LaConte SM (2011) Decoding fMRI brain states in real-time. Neuroimage 56: 440-454. S1053-8119 (10)00910-9 [pii];doi: 10.1016/j.neuroimage.2010.06.052 PMID: 20600972
13. LaConte SM, Peltier SJ, Hu XP (2007) Real-time fMRI using brain-state classification. Hum Brain Mapp 28: 1033-1044. doi: 10.1002/hbm.20326 PMID: 17133383
14. Mourao-Miranda J, Bokde AL, Born C, Hampel H, Stetter M (2005) Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data. Neuroimage 28: 980-995. S1053-8119(05)00478-7 [pii];doi: 10.1016/j.neuroimage.2005.06.070 PMID: 16275139
15. Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. 2009/10/13: 1059-1069. S1053-8119(09)01074-X [pii] doi: 10.1016/j.neuroimage.2009.10.003
16. Bullmore E, Sporns O (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. 10: 186-198.
17. Young KD, Zotev V, Phillips R, Misaki M, Yuan H, Drevets WC, et al. (2014) Real-time FMRI neurofeedback training of amygdala activity in patients with major depressive disorder. PLoS One 9: e88785. doi: 10.1371/journal.pone.0088785;PONE-D-13-38101 [pii]. PMID: 24523939
18. Zotev V, Phillips R, Yuan H, Misaki M, Bodurka J (2014) Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback. Neuroimage 85 Pt 3: 985-995. S1053-8119 (13)00504-1 [pii];doi: 10.1016/j.neuroimage.2013.04.126 PMID: 23668969
19. deCharms RC (2007) Reading and controlling human brain activation using real-time functional magnetic resonance imaging. Trends Cogn Sci 11: 473-481. S1364-6613(07)00247-1 [pii];doi: 10.1016/j.tics.2007.08.014 PMID: 17988931
20. deCharms RC, Maeda F, Glover GH, Ludlow D, Pauly JM, Soneji D, et al. (2005) Control over brain activation and pain learned by using real-time functional MRI. Proc Natl Acad Sci U S A 102: 18626-18631. 0505210102 [pii];doi: 10.1073/pnas.0505210102 PMID: 16352728
21. Zotev V, Krueger F, Phillips R, Alvarez RP, Simmons WK, Bellgowan P, et al. (2011) Self-regulation of amygdala activation using real-time FMRI neurofeedback. PLoS One 6: e24522. doi: 10.1371/journal.pone.0024522;PONE-D-11-06642 [pii]. PMID: 21931738
22. Cisler JM, Steele JS, Lenow JK, Smitherman S, Everett B, Messias E, et al(2014) Functional reorganization of neural networks during repeated exposure to the traumatic memory in posttraumatic stress disorder: an exploratory fMRI study. J Psychiatr Res 48: 47-55. S0022-3956(13)00305-1 [pii];doi: 10.1016/j.jpsychires.2013.09.013 PMID: 24139810
23. Kilpatrick DG, Acierno R, Saunders B, Resnick HS, Best CL, Schnurr PP (2000) Risk factors for adolescent substance abuse and dependence: data from a national sample. 2000/03/11: 19-30.
24. Kilpatrick DG, Ruggiero KJ, Acierno R, Saunders BE, Resnick HS, Best CL (2003) Violence and risk of PTSD, major depression, substance abuse/dependence, and comorbidity: results from the National Survey of Adolescents. 2003/08/20: 692-700.
25. Resnick HS, Kilpatrick DG, Dansky BS, Saunders BE, Best CL (1993) Prevalence of civilian trauma and posttraumatic stress disorder in a representative national sample of women. 1993/12/01: 984-991.
26. Michael B. First (2002) Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-Patient Edition. New York: Biometrics Research, New York State Psychiatric Institute.
27. Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA (1996) Psychometric properties of the PTSD Checklist (PCL). 1996/08/01: 669-673. 0005-7967(96)00033-2 [pii].
28. Beck AT, Steer RA, Brown GK (1996) Manual for the BDI-II. San Antonio, TX: The Psychological Corporation.
29. Orr SP, Pitman RK, Lasko NB, Herz LR (1993) Psychophysiological assessment of posttraumatic stress disorder imagery in World War II and Korean combat veterans. 1993/02/01: 152-159.
30. Orr SP, Lasko NB, Metzger LJ, Berry NJ, Ahern CE, Pitman RK (1998) Psychophysiologic assessment of women with posttraumatic stress disorder resulting from childhood sexual abuse. J Consult Clin Psychol 66: 906-913. PMID: 9874903
31. Pitman RK, Orr SP, Forgue DF, de Jong JB, Claiborn JM (1987) Psychophysiologic assessment of posttraumatic stress disorder imagery in Vietnam combat veterans. 1987/11/01: 970-975.
32. Rauch SL, van der Kolk BA, Fisler RE, Alpert NM, Orr SP, Savage CR, et al. (1996) A symptom provocation study of posttraumatic stress disorder using positron emission tomography and script-driven imagery. 1996/05/01: 380-387.
33. Shalev AY, Orr SP, Pitman RK (1992) Psychophysiologic response during script-driven imagery as an outcome measure in posttraumatic stress disorder. 1992/09/01: 324-326.
34. Shalev AY, Orr SP, Pitman RK (1993) Psychophysiologic assessment of traumatic imagery in Israeli civilian patients with posttraumatic stress disorder. 1993/04/01: 620-624.
35. Cox RW (1996) AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. 1996/06/01: 162-173. S0010480996900142 [pii].
36. Power JD, Mitra A, Laumann TO, Snyder AZ, Schlaggar BL, Petersen SE (2014) Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage 84: 320-341. S1053-8119 (13)00911-7 [pii];doi: 10.1016/j.neuroimage.2013.08.048 PMID: 23994314
37. Chang CC, Lin CJ (2011) LIBSVM: A library for support vector machines. 2: 27.
38. Kriegeskorte N, Goebel R, Bandettini P (2006) Information-based functional brain mapping. Proc Natl Acad Sci U S A 103: 3863-3868. 0600244103 [pii];doi: 10.1073/pnas.0600244103 PMID: 16537458
39. Kriegeskorte N, Bandettini P (2007) Analyzing for information, not activation, to exploit high-resolution fMRI. Neuroimage 38: 649-662. S1053-8119(07)00118-8 [pii];doi: 10.1016/j.neuroimage.2007.02.022 PMID: 17804260
40. Haynes JD, Rees G (2006) Decoding mental states from brain activity in humans. 2006/06/23: 523-534. nrn1931 [pii] doi: 10.1038/nrn1931
41. Haynes JD, Rees G (2005) Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nat Neurosci 8: 686-691. nn1445 [pii];doi: 10.1038/nn1445 PMID: 15852013
42. Op de Beeck HP (2010) Probing the mysterious underpinnings of multi-voxel fMRI analyses. Neuroimage 50: 567-571. S1053-8119(09)01361-5 [pii];doi: 10.1016/j.neuroimage.2009.12.072 PMID: 20035886
43. Etzel JA, Valchev N, Keysers C (2011) The impact of certain methodological choices on multivariate analysis of fMRI data with support vector machines. Neuroimage 54: 1159-1167. S1053-8119(10) 01132-8 [pii];doi: 10.1016/j.neuroimage.2010.08.050 PMID: 20817107
44. Misaki M, Kim Y, Bandettini PA, Kriegeskorte N (2010) Comparison of multivariate classifiers and response normalizations for pattern-information fMRI. Neuroimage 53: 103-118. S1053-8119(10) 00783-4 [pii];doi: 10.1016/j.neuroimage.2010.05.051 PMID: 20580933
45. Pruessner JC, Dedovic K, Khalili-Mahani N, Engert V, Pruessner M, Buss C, et al. (2008) Deactivation of the limbic system during acute psychosocial stress: evidence from positron emission tomography and functional magnetic resonance imaging studies. Biol Psychiatry 63: 234-240. S0006-3223(07)00435-0 [pii];doi: 10.1016/j.biopsych.2007.04.041 PMID: 17686466
46. Papageorgiou TD, Lisinski JM, McHenry MA, White JP, LaConte SM (2013) Brain-computer interfaces increase whole-brain signal to noise. Proc Natl Acad Sci U S A 110: 13630-13635. 1210738110 [pii]; doi: 10.1073/pnas.1210738110 PMID: 23901117