Skip to main content
Advertisement
  • Neurology.org
  • Journals
    • Neurology
    • Clinical Practice
    • Genetics
    • Neuroimmunology & Neuroinflammation
    • Education
  • Online Sections
    • Neurology Video Journal Club
    • Inclusion, Diversity, Equity, Anti-racism, & Social Justice (IDEAS)
    • Innovations in Care Delivery
    • Practice Buzz
    • Practice Current
    • Residents & Fellows
    • Without Borders
  • Collections
    • COVID-19
    • Disputes & Debates
    • Health Disparities
    • Infographics
    • Null Hypothesis
    • Patient Pages
    • Topics A-Z
    • Translations
  • Podcast
  • CME
  • About
    • About the Journals
    • Contact Us
    • Editorial Board
  • Authors
    • Submit a Manuscript
    • Author Center

Advanced Search

Main menu

  • Neurology.org
  • Journals
    • Neurology
    • Clinical Practice
    • Genetics
    • Neuroimmunology & Neuroinflammation
    • Education
  • Online Sections
    • Neurology Video Journal Club
    • Inclusion, Diversity, Equity, Anti-racism, & Social Justice (IDEAS)
    • Innovations in Care Delivery
    • Practice Buzz
    • Practice Current
    • Residents & Fellows
    • Without Borders
  • Collections
    • COVID-19
    • Disputes & Debates
    • Health Disparities
    • Infographics
    • Null Hypothesis
    • Patient Pages
    • Topics A-Z
    • Translations
  • Podcast
  • CME
  • About
    • About the Journals
    • Contact Us
    • Editorial Board
  • Authors
    • Submit a Manuscript
    • Author Center
  • Home
  • Latest Articles
  • Current Issue
  • Past Issues
  • Residents & Fellows

User menu

  • Subscribe
  • My Alerts
  • Log in
  • Log out

Search

  • Advanced search
Neurology
Home
The most widely read and highly cited peer-reviewed neurology journal
  • Subscribe
  • My Alerts
  • Log in
  • Log out
Site Logo
  • Home
  • Latest Articles
  • Current Issue
  • Past Issues
  • Residents & Fellows

Share

September 23, 2008; 71 (13) Articles

Predictors of antecedent factors in psychogenic nonepileptic attacks

Multivariate analysis

R. Duncan, M. Oto
First published September 22, 2008, DOI: https://doi.org/10.1212/01.wnl.0000326593.50863.21
R. Duncan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Oto
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Full PDF
Citation
Predictors of antecedent factors in psychogenic nonepileptic attacks
Multivariate analysis
R. Duncan, M. Oto
Neurology Sep 2008, 71 (13) 1000-1005; DOI: 10.1212/01.wnl.0000326593.50863.21

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Permissions

Make Comment

See Comments

Downloads
494

Share

  • Article
  • Figures & Data
  • Info & Disclosures
Loading

Abstract

Objectives: To elucidate the role of antecedent factors in psychogenic nonepileptic attacks (PNEA).

Methods: In a consecutive series of 288 patients with PNEA, clinical and demographic variables were entered into binary logistic regression models and tested for their power to predict commonly reported antecedent factors.

Results: Three quarters (75.4%) of patients reported traumatic antecedent factors: 32.5% reported sexual abuse, 26.0% physical abuse, 18.7% bereavement, 8.3% health-related trauma, and 8% accident or assault. A total of 8.6% had learning disability (LD) and 10.8% had epilepsy. Antecedent trauma in general was predicted by later age at onset (p = 0.011), and medically unexplained symptoms (MUS) other than PNEA (p = 0.004); its absence was predicted by LD (p = 0.016). Sexual abuse was predicted by female gender (p < 0.001), physical abuse (p < 0.001), self-harm (p < 0.001), and MUS (p < 0.001): its absence was predicted by LD (p = 0.019) and health-related trauma (p = 0.023). Bullying was predicted by early onset of PNEA (p = 0.012). Health-related trauma was predicted by late age at onset (p < 0.001); its absence was predicted by sexual abuse (p = 0.020). LD was predicted by male gender (p = 0.019), epilepsy (p = 0.005), circumstantial triggering of spells (p < 0.001), and pseudostatus (p = 0.012). Epilepsy was predicted by LD (p = 0.001) and early age at onset (p = 0.013).

Conclusions: The clinical predictors that we found provide further evidence of heterogeneity of psychogenic nonepileptic attacks populations related to antecedent factors. Some predictive clusters may have clinical utility in the early stages of assessment: in particular the combination of medically unexplained symptoms and self-harm should raise the possibility of undisclosed sexual abuse.

Glossary

LD=
learning disability;
MUS=
medically unexplained symptoms;
PNEA=
psychogenic nonepileptic attacks.

Psychogenic nonepileptic attacks (PNEA) are associated with sexual and physical abuse.1–3 The association recurs through a range of observational studies but it remains uncertain whether or to what degree such antecedent trauma is causal.4 Antecedent psychological factors other than abuse may be involved in some patient groups,5–7 as may nontraumatic factors such as learning disability (LD)8 and epilepsy.9

Bivariate analysis of observational data has detected associations between specific antecedent factors and some clinical variables, suggesting relationships that might inform further research into mechanisms, and indicating the possibility of clinically relevant subgroups related to LD, health-related psychological trauma, and sexual abuse.5,8,10 Bivariate analysis is limited in respect of the number of analyses that can practically be carried out in a single dataset, in providing no indication of the strength of a relationship (only its significance), and in being unable to assess whether an association is direct, or is due to covariance with another variable. Multivariate analysis can address those issues, so we have used binary logistic regression analysis to assess relationships between commonly reported antecedent factors for PNEA and a range of clinical variables, as well as relationships among the antecedent factors themselves, in a large cohort of patients with confirmed PNEA.

METHODS

Between March 1999 and August 2004, 288 patients (age range 13–69 years) were seen at our PNEA clinic (West of Scotland regional epilepsy service, catchment population 2.7 million). The clinical diagnosis of PNEA was confirmed by inpatient or outpatient11 video EEG (249 patients), or by ambulatory EEG recording (1 patient) of events confirmed as typical by eyewitnesses. In the remaining 38 patients, events were either directly observed in the clinic by one of our staff, or eyewitness descriptions were typical of PNEA, and antiepileptic drugs successfully withdrawn with appropriate post-withdrawal monitoring.12 Epilepsy was diagnosed on the basis of video EEG recorded seizures or compatible patient and eyewitness accounts assessed by epilepsy specialists and supported by interictal EEG data. Throughout the period of the study information was acquired using a semistructured interview with the patient and an eyewitness.

Bivariate analysis of the present cohort with respect to LD has been previously reported,8 as has bivariate analysis of subsets of the present population with respect to age at onset of PNEA,5 and sexual abuse.10

The information extracted from the database for the present study included the following: demographic data; presence of concomitant epilepsy; history of and path to PNEA diagnosis; history of sexual abuse, pragmatically defined as any reported compelled act of a sexual nature or any witnessed sexual activity perceived as abusive by the patient and occurring at any stage in life preceding the onset of PNEA. In a number of patients this history was elicited from the patient or carers at a time subsequent to that first interview, and has been included in the data; history of other past life events that the patient or carers regarded as traumatic, including traumatic events related to medically explained health problems5; history of physical abuse, which was also pragmatically defined according to the patient’s account and perception of the nature of the experience; medically unexplained symptoms (MUS) other than PNEA, determined from patient records, pragmatically defined as any symptoms sufficiently problematic to have resulted in a referral to secondary care, with subsequent negative investigation; previous contact with secondary mental health services, past or present psychiatric diagnoses, and deliberate self-harm (including suicide attempt) as reported by the patient or carers, or documented in case records; and PNEA clinical semiology, situational associations, and triggers.

Statistical analysis.

Statistical analysis was carried out using SPSS. Simultaneous logistic regression models were used to evaluate the ability of independent variables to predict category membership of dependent variables (which were the antecedent factors recorded in this study: sexual and physical abuse, bullying, bereavement, health-related trauma, accident or assault, learning difficulty, and epilepsy). Exploratory bivariate analysis was carried out for each one. Independent variables correlating with antecedent factors at the 10% level or less (p ≤ 0.1) were considered for entry into the model. Where screening for colinearity identified two independent variables correlating at the 30% level (p ≤ 0.3) or less, the variable correlating less significantly with the dependent variable was eliminated. The remaining independent variables were entered into an initial model. Independent variables without significant predictive value at the 5% level (p ≤ 0.05) were then eliminated, and final analysis carried out.

RESULTS

Of our 288 patients, 217 (75.3%) were women. Mean age at onset of PNEA was 30.6 ± 14.4 years, mean age at presentation was 37.7 ± 14.2 years, and median diagnostic delay was 3.5 (1.64–5.49) (median and interquartile range are quoted as the data distribution differed significantly from normal due to positive skew; for comparison purposes, the mean diagnostic delay was 7.50 ± 8.32 years).

Antecedent factors.

Of 289 patients, 207 reported at least one traumatic antecedent factor (table 1). In 126 patients, a single traumatic factor was reported, in 69 patients two factors, and in 13 patients either three or four factors.

View this table:
  • View inline
  • View popup
  • Download powerpoint

Table 1 Antecedent factors identified by patients as traumatic

Twenty-five patients (8.6%) had a LD, and 31 patients (10.8%) had an antecedent diagnosis of epilepsy.

Results of binary logistic regression analysis.

Where the independent variable is categorical, binary logistic regression reports the factor by which the presence of a given independent variable increases the likelihood of the dependent variable. If the independent variable is continuous, it reports the factor by which a unit of increase in the independent variable increases the probability of the presence of the dependent variable. In either case, this factor is expressed as an OR, and is conventionally quoted with its significance (p) and its 95% confidence limits. Predictors of antecedent factors in patients with PNEA in the present study are shown in table 2.

View this table:
  • View inline
  • View popup
  • Download powerpoint

Table 2 Significant predictors of antecedent factors in patients with PNEA

Any traumatic antecedent event.

The model explained 11.0% of variance. The probability of a patient reporting any antecedent traumatic factor increased by 1.03 for each increased year of age at onset (or by 1.33 for each 10 years increase in age at onset) (p = 0.011). Having medically unexplained symptoms other than PNEA increased the probability of reporting an antecedent traumatic factor by 2.24 (p = 0.004). LD decreased the probability of having reported an antecedent traumatic factor by 2.87 times (p = 0.016). (An OR of <1 indicates a negative probability: for ease of comparison this is expressed in the text as having decreased the probability of the dependent variable by 1/OR.)

Sexual abuse.

The model explained 39% of variance. Female gender increased the probability of reported sexual abuse by 6.02 times (p < 0.001). A background of physical abuse increased the probability of sexual abuse by a factor of 3.68 (p = 0.019), as did a history of medically unexplained symptoms other than PNEA (p < 0.001). A history of self-harm increased it by a factor of 3.30 (p < 0.001). A background of LD, however, was a strong predictor of the absence of sexual abuse, reducing its probability by a factor of 6.86 (p = 0.019), as was a background of health-related trauma, which reduced the probability of sexual abuse by a factor of 11.31 (p = 0.023).

Physical abuse.

The model explained 14% of variance. A history of sexual abuse increased the probability of physical abuse by 3.49 times (p < 0.001), and a diagnosis of anxiety or depression increased it by 1.87 (p = 0.042).

Bullying.

The model explained 13.5% of variance. A history of presentation to emergency departments reduced the probability of a history of bullying by a factor of 5.92 (p = 0.007). Early age at presentation predicted bullying, with every decrease of 1 year of age at presentation increasing the probability of the patient reporting bullying by a factor of 1.06 (p = 0.012). This translates into bullying being 1.79 times more likely where PNEA onset is at age 15 compared to onset at age 25.

Accident or assault.

The model explained 5.1% of variance. Only antidepressant use predicted accident or assault, increasing its probability by a factor of 2.46 (p = 0.045).

Bereavement.

There were no significant predictive factors for bereavement.

Health-related trauma.

The model explained 31.9% of variance. Reported sexual abuse was a strong predictor of the absence of health-related trauma, reducing the probability of it by a factor of 11.24 (p = 0.020). Older age at onset of PNEA increased the probability of health-related trauma, by a factor of 1.08 (p < 0.001) per year. This translates into health-related trauma being 10.06 times more likely where PNEA onset is at age 60 compared to onset at age 30.

Learning disability.

The model explained 33.8% of variance. The number of predictors was in excess of that supported by the number of cases of LD, so only those predictors with p < 0.02 are quoted. Being male increased the probability of LD by a factor of 3.40 (p = 0.019), as did having concomitant epilepsy, which increased it by a factor of 5.61 (p = 0.005), and a past history of episodes of pseudostatus, which increased the probability of LD by a factor of 3.77 (p = 0.012). The strongest predictor was having a reported situational triggering factor for attacks, which increased the probability of LD by a factor of 20.83 (p < 0.001).

Epilepsy + PNEA.

The model explained 13.1% of variance. Early age at onset was a significant predictor of a dual diagnosis of epilepsy and PNEA; with every decrease of 1 year in age at onset the probability of concomitant epilepsy increased by a factor of 1.04 (p = 0.013). This translates into a dual diagnosis being 1.48 times more likely where PNEA onset is at age 15 compared to onset at age 25. The presence of learning difficulty increased the probability of concomitant epilepsy by a factor of 4.81 (p = 0.001).

DISCUSSION

This PNEA population in this study is similar to those previously published in that 24.3% were men, 11.1% had concomitant epilepsy, and 30.5% reported antecedent sexual abuse.13–22

While our data provide an estimate of the relative proportion of patients with PNEA who report one or more of a group of traumatic antecedent factors, we are unable to say how this relates to a non-PNEA population. Our data do not therefore impact on the diagnosis itself, which rests on video EEG monitoring in the majority of cases. The acquisition of appropriate control data for some variables, particularly sexual abuse, is problematic, and we did not attempt it. Neither did we use a formal definition of psychological trauma. DSM-IV criteria for trauma23 were specifically intended to aid the diagnosis of post-traumatic stress disorder. This was not our primary interest, so we based our data on what the patient and (particularly in the case of patients with LD) relatives reported as traumatic. Similarly, we took the approach to MUS that is common in recent publications,24 in that our definition relied on symptoms, avoiding the use of diagnostic labels that might be regarded as controversial or of uncertain nature.

The question of the accuracy of reporting of traumatic issues in general and sexual abuse in particular remains controversial.5 We took the pragmatic step of basing our analysis on what the patient reported, and our data should be seen in this light. To minimize under-reporting, our time window for reporting traumatic factors was not restricted: antecedent traumatic events disclosed during treatment or subsequently have been included in our data (hence the small increases in numbers of patient with sexual and physical abuse in the present study compared to that reported in our previous study of the same population).8

Three quarters of our patients reported at least one event or factor in their life that they regarded as traumatic, the citation of any traumatic factor being predicted by later onset of PNEA. No single type of trauma explained this finding. Previous studies have cited sexual and physical abuse as antecedent traumatic factors, with some studies identifying health-related trauma, bullying, and bereavement, and others.1–3,5–7 The previously known association between sexual and physical abuse aside,1,10 there were no significant positive relationships between traumatic factors. In keeping with our previous study,5 health-related trauma and sexual abuse appeared to involve different patient subgroups, the one being a predictor of the absence of the other.

Our previous study identified significant differences in a range of simple indicators of psychological health between patients reporting sexual abuse and those not,10 as did exploratory bivariate analysis of the present dataset. However, the present logistic regression analysis showed that most of these indicators, anxiety and depression, past contact with psychiatric services, and a documented diagnosis of personality disorder were not independent predictors of sexual abuse, but that medically unexplained symptoms other than PNEA and self-harm were. A patient from our population with both factors was just over five times more likely to report sexual abuse than a patient with neither. The fact that this is consistent with data from populations of adult survivors of sexual abuse, in which both self-harm and MUS are more common than in control populations,25–28 suggests that the predictive value we found of self-harm and MUS for sexual abuse may well be more widely generalizable. It might therefore have some clinical utility, particularly in the early stages of assessment of patients with possible or confirmed PNEA.

Despite the known association between sexual and physical abuse, it was striking that their predictors were quite different. This suggests that physical abuse may have a specific role in some patients, rather than just being something that happens to accompany sexual abuse. Our study did lump together physical abuse in childhood with that in marital and other contexts: separation of different histories of physical abuse in future studies might provide more useful information.

A history of bullying was significantly predicted by early age at onset of NES, consistent with the fact that in all but two cases the bullying had occurred at school. Our finding that a history of presentation to emergency departments predicted the absence of a history of bullying was unexpected: however, in schools in Scotland, it is common to contact parents when a child has a spell, rather than contacting an ambulance immediately. The delay may have been enough to allow recovery in a proportion of patients, avoiding a call to ambulance services.

Bereavement has previously been recorded as an antecedent factor, for PNEA and other functional symptoms.6,7 It is of course a usual part of life: we recorded it as an antecedent factor only if the patient cited it in response to an open question about traumatic life events preceding the onset of PNEA. In some cases, patients gave no specific information that would distinguish the bereavement from an ordinary life experience. In others, subsequent psychological assessment did reveal harrowing circumstances and suggested long-lasting effects. Whether the spectrum of trauma-related bereavement in our patients differed from that which might be found in an appropriate control sample remains open to question, the more so as bereavement was not predicted by any other factor in our sample. This may also apply to the 8% of our patients who had PNEA beginning immediately or shortly after a traumatic assault or accident. Head injury has been recorded as a common antecedent factor for PNEA,29 but was not recorded separately in the present study.

Our previous study5 found a high prevalence of health-related trauma in late onset patients. Consistent with this, multivariate analysis found that late age at onset was a strong predictor of health-related trauma: this is consistent with the hypothesis that in our previous study late age at onset acted to a degree as a surrogate to select patients with health-related trauma. There is evidence that adolescents and children with PNEA have differing ranges of antecedent factors.7 Therefore, our present relationships between bullying and health-related trauma and age at onset of PNEA may simply reflect population differences in prevalence of different types of traumatic event at different times of life.

As expected, our findings relating to LD are consistent with previous bivariate analysis of the same population,8 in finding that epilepsy, triggers for attacks, and previous episodes of pseudostatus predicted LD. Male gender survived in the model as a significant independent predictor of LD while low prevalence of sexual abuse was eliminated, indicating that the increased proportion of males found in this subpopulation is not simply an indirect effect of a reduced prevalence of sexual abuse.

The predictive factors we found, or in some cases clusters of predictive factors (see table 2), add to evidence for heterogeneity of PNEA populations, and appear to relate at least some of that heterogeneity to common antecedent factors. Patients with sexual abuse were best identified by a combination of female gender, physical abuse, MUS, and a history of self-harm. Patients with LD, in contrast, were best identified by a combination of male gender, epilepsy, spells that were triggered by social circumstance, and a history of pseudostatus epilepticus. The impression that these two clusters of predictors identify different subpopulations is reinforced by the fact that that sexual abuse predicted the absence of LD (albeit there was a caveat regarding reporting of sexual abuse in patients with LD; see above). Similarly, patients with health-related trauma were predicted mainly by increased age, and by the absence of sexual abuse, suggesting the existence of a further subpopulation.

The predictive power of our models was limited by small numbers in some cases, while in others a relatively small proportion of variance was explained. Furthermore, an observational study such as the present one cannot determine whether relationships are causal. Nonetheless, some of the predictors we identified suggest relationships that may be worth further research. It would be particularly useful to be able to distinguish effects that are specific to PNEA from population effects of sexual abuse and other common antecedent factors. This would require appropriate control populations, a challenging proposition in some cases. Finally, it would be useful to know to what extent our findings are specific to our sociodemographic and health care environments.

ACKNOWLEDGMENT

The authors thank Dr. David Young, Department of Statistics and Modeling Science, Strathclyde University, Glasgow, Scotland, and Dr. Jason Ellis, Department of Psychological Medicine, University of Glasgow, Scotland, for advice.

Footnotes

  • Embedded Image

  • Disclosure: The authors report no disclosures.

    Received May 13, 2008. Accepted in final form June 16, 2008.

REFERENCES

  1. 1.↵
    Alper K, Devinsky O, Perrine K, Bazquez B, Luciano L. Nonepileptic seizures and childhood sexual and physical abuse. Neurology 1993;43:1950–1953.
    OpenUrlAbstract/FREE Full Text
  2. 2.
    Bowman ES, Markand ON. Etiology and clinical course of pseudoseizures: relationship to trauma, dissociation and depression. Psychosomatics 1993;34:333–342.
    OpenUrlPubMed
  3. 3.
    Betts TA, Boden S. Diagnosis, management and prognosis of a group of 128 patients with non-epileptic attack disorder. Part II. Previous sexual abuse in the etiology of these disorders. Seizure 1992;1:19–26.
    OpenUrlCrossRefPubMed
  4. 4.↵
    Sharpe D, Faye C. Non-epileptic seizures and child sexual abuse: a critical review of the literature. Clin Psychol Rev 2006;26:1020–1040.
    OpenUrlCrossRefPubMed
  5. 5.↵
    Duncan R, Oto M, Martin E, Pelosi A. Late onset psychogenic nonepileptic attacks. Neurology 2006;66:1644–1647.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    Reuber M, Howlett S, Khan A, Grunewald RA. Non-epileptic seizures and other functional neurological symptoms: predisposing, precipitating and perpetuating factors. Psychosomatics 2007;48:230–238.
    OpenUrlCrossRefPubMed
  7. 7.↵
    Patel H, Scott E, Dunn D, Garg B. Nonepileptic seizures in children. Epilepsia 2007;48:2086–2092.
    OpenUrlPubMed
  8. 8.↵
    Duncan R, Oto M. Psychogenic non epileptic seizures in patients with learning disability: comparison with patients with no learning disability. Epilepsy Behav 2008;12:183–186.
    OpenUrlCrossRefPubMed
  9. 9.↵
    Benbadis SR, Agrawal V, Tatum WO. How many patients with psychogenic non-epileptic seizures also have epilepsy? Neurology 2001;57:915–917.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    Selkirk M, Duncan R, Oto M, Pelosi A. Clinical differences between patients with nonepileptic seizures who report antecedent sexual abuse and those who do not. Epilepsia 2008 (in press).
  11. 11.↵
    McGonigal A, Oto M, Russel AJ, Greene J, Duncan R. Outpatient video EEG recording in the diagnosis of non-epileptic seizures: a randomized controlled trial of simple suggestion techniques. J Neurol Neurosurg Psychiatry 2002;72:549–551.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    Oto M, Espie C, Pelosi A, Selkirk M, Duncan R. The safety of antiepileptic medication withdrawal in patients with non-epileptic seizures. J Neurol Neurosurg Psychiatry 2005;76:1682–1685.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    Reuber M, Fernandez G, Helmstaedter C, Quirishi A, Elger CE. Evidence of brain abnormality in patients with psychogenic non-epileptic seizures. Epilepsy Behav 2002;3:246–248.
    OpenUrl
  14. 14.
    Francis P, Baker GA. Non-epileptic attack disorder (NEAD): a comprehensive review. Seizure 1999;8:53–61.
    OpenUrlCrossRefPubMed
  15. 15.
    Meierkord H, Will B, Fish D, Shorvon S. The clinical features and prognosis of pseudoseizures diagnosed following video-EEG telemetry. Neurology 1991;41:1643–1646.
    OpenUrlAbstract/FREE Full Text
  16. 16.
    Lancman ME, Brotherton TA, Asconape JJ, Penry JK. Psychogenic seizures in adults: a longitudinal analysis. Seizure 1993;2:281–286.
    OpenUrlCrossRefPubMed
  17. 17.
    Lesser RP. Psychogenic seizures. Neurology 1996;46:1499–1507.
    OpenUrlFREE Full Text
  18. 18.
    Martin R, Burneo JG, Prasad A, et al. Frequency of epilepsy in patients with psychogenic seizures monitored by video-EEG. Neurology 2003;61:1791–1792.
    OpenUrlAbstract/FREE Full Text
  19. 19.
    Gates JR. Nonepileptic seizures: classification, coexistence with epilepsy, diagnostic, therapeutic approaches, and consensus. Epilepsy Behav 2002;3:28–33.
    OpenUrlPubMed
  20. 20.
    Alper K, Devinsky O, Perrine K, Bazquez B, Luciano L. Nonepileptic seizures and childhood sexual and physical abuse. Neurology 1993;43:1950–1953.
    OpenUrlAbstract/FREE Full Text
  21. 21.
    Bowman ES, Markand ON. Etiology and clinical course of pseudoseizures: relationship to trauma, dissociation and depression. Psychosomatics 1993;34:333–342.
    OpenUrlPubMed
  22. 22.
    Betts TA, Boden S. Diagnosis, management and prognosis of a group of 128 patients with non-epileptic attack disorder: part II: previous sexual abuse in the etiology of these disorders. Seizure 1992;1:19–26.
    OpenUrlCrossRefPubMed
  23. 23.↵
    American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, IV, TR. Washington, DC: AMA; 2000.
  24. 24.↵
    Fink P, Toft T, Hansen MS, Ornbol E, Olesen F. Symptoms and syndromes of bodily distress: an exploratory study of 978 internal medical, neurological and primary care patients. Psychosom Med 2007;69:30–39.
    OpenUrlAbstract/FREE Full Text
  25. 25.↵
    Gladstone GL, Parker GB, Mitchell PB, Malhi GS, Wilhelm K, Austin MP. Implications of childhood trauma for depressed women: an analysis of pathways from childhood sexual abuse to deliberate self-harm and revictimization. Am J Psychiatry 2004;161:1417–1425.
    OpenUrlCrossRefPubMed
  26. 26.
    Allanson J, Bass C, Wade DT. Characteristics of patients with persistent severe disability and medically unexplained neurological symptoms: a pilot study. J Neurol Neurosurg Psychiatry 2002;73:307–309.
    OpenUrlAbstract/FREE Full Text
  27. 27.
    Arnow BA. Relationships between childhood maltreatment, adult health and psychiatric outcomes, and medical utilization. J Clin Psychiatry 2004;65:10–15.
    OpenUrlCrossRefPubMed
  28. 28.
    Dickinson LM, deGruy FV, Dickinson WP, Candib LM. Health-related quality of life and symptom profiles of female survivors of sexual abuse. Arch Fam Med 1999;8:35–43.
    OpenUrlCrossRefPubMed
  29. 29.↵
    Westbrook LE, Devinsky O, Geocadin R. Nonepileptic seizures after head injury. Epilepsia 1998;39:978–982.
    OpenUrlCrossRefPubMed

Disputes & Debates: Rapid online correspondence

No comments have been published for this article.
Comment

REQUIREMENTS

If you are uploading a letter concerning an article:
You must have updated your disclosures within six months: http://submit.neurology.org

Your co-authors must send a completed Publishing Agreement Form to Neurology Staff (not necessary for the lead/corresponding author as the form below will suffice) before you upload your comment.

If you are responding to a comment that was written about an article you originally authored:
You (and co-authors) do not need to fill out forms or check disclosures as author forms are still valid
and apply to letter.

Submission specifications:

  • Submissions must be < 200 words with < 5 references. Reference 1 must be the article on which you are commenting.
  • Submissions should not have more than 5 authors. (Exception: original author replies can include all original authors of the article)
  • Submit only on articles published within 6 months of issue date.
  • Do not be redundant. Read any comments already posted on the article prior to submission.
  • Submitted comments are subject to editing and editor review prior to posting.

More guidelines and information on Disputes & Debates

Compose Comment

More information about text formats

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Author Information
NOTE: The first author must also be the corresponding author of the comment.
First or given name, e.g. 'Peter'.
Your last, or family, name, e.g. 'MacMoody'.
Your email address, e.g. higgs-boson@gmail.com
Your role and/or occupation, e.g. 'Orthopedic Surgeon'.
Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.
Publishing Agreement
NOTE: All authors, besides the first/corresponding author, must complete a separate Publishing Agreement Form and provide via email to the editorial office before comments can be posted.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Vertical Tabs

You May Also be Interested in

Back to top
  • Article
    • Abstract
    • Glossary
    • METHODS
    • RESULTS
    • DISCUSSION
    • ACKNOWLEDGMENT
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Disclosures
Advertisement

Topics Discussed

  • All Neuropsychology/Behavior
  • All Epilepsy/Seizures
  • Nonepileptic seizures

Alert Me

  • Alert me when eletters are published
Neurology: 98 (24)

Articles

  • Ahead of Print
  • Current Issue
  • Past Issues
  • Popular Articles
  • Translations

About

  • About the Journals
  • Ethics Policies
  • Editors & Editorial Board
  • Contact Us
  • Advertise

Submit

  • Author Center
  • Submit a Manuscript
  • Information for Reviewers
  • AAN Guidelines
  • Permissions

Subscribers

  • Subscribe
  • Activate a Subscription
  • Sign up for eAlerts
  • RSS Feed
Site Logo
  • Visit neurology Template on Facebook
  • Follow neurology Template on Twitter
  • Visit Neurology on YouTube
  • Neurology
  • Neurology: Clinical Practice
  • Neurology: Genetics
  • Neurology: Neuroimmunology & Neuroinflammation
  • Neurology: Education
  • AAN.com
  • AANnews
  • Continuum
  • Brain & Life
  • Neurology Today

Wolters Kluwer Logo

Neurology | Print ISSN:0028-3878
Online ISSN:1526-632X

© 2022 American Academy of Neurology

  • Privacy Policy
  • Feedback
  • Advertise