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Published Online: 1 February 2001

Personality Disorder in Multiple Sclerosis Correlates With Cognitive Impairment

Publication: The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

Previous studies of personality change in multiple sclerosis (MS) relied on brief, nonstandardized assessments or tests that are confounded with symptoms of acute psychiatric disorder. Objectives of the present study were to evaluate character change in MS by using comprehensive trait measures of personality and to determine if there is an association between personality change and cognitive dysfunction. Thirty-four MS patients and 14 healthy volunteers were studied. All underwent comprehensive neurologic and neuropsychologic evaluation. Personality assessments included both self and informant reports on the Hogan Empathy Scale and the NEO Personality Inventory. Abnormalities were found among MS patients indicating elevated neuroticism and reduction in empathy, agreeableness, and conscientiousness. Large patient/informant discrepancies were observed in the MS but not the control group. Three neuropsychological tests emphasizing executive control predicted the presence of these abnormalities; this association suggests a neurogenic, frontal lobe syndrome.
Changes in personality and affect have been recognized in multiple sclerosis (MS) for more than a century,1 and recent investigators delineate three primary affective disorders: depression, pathological laughing/crying, and euphoria.24 Most agree that these disorders may result from either psychological reaction to the stress of MS (depression) or cerebral pathology. An early neuropsychological study5 distinguished between acute mood disorders and more stable, character-related changes in MS. Regarding the latter, observations suggested an acquired disposition toward irritability or apathy in one-third of patients studied and sexual disinhibition in a smaller number. A weakness in this and other studies610 was the use of semistructured interviews that are subject to interviewer bias and poor reliability, and/or psychometric tests (e.g., Minnesota Multiphasic Personality Inventory) that confound the influence of acute psychiatric disorder (such as depression) with changes in personality traits.
More recently, a consensus has emerged that the “five-factor” theoretical model of personality covers the gamut of traits comprising the most widely recognized personality theories.1116 The five-factor model includes the following statistically independent factors or domains: Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. These specific domains of personality can now be assessed with the revised version of the NEO Personality Inventory (NEO-PI),12 a standardized, comprehensive, questionnaire-format test with well-established reliability and validity. Although the NEO-PI is commonly used in psychiatric settings, the instrument has rarely been applied to neurological patients.
In this study, we employed the NEO-PI and other established neuropsychological tests to compare personality traits and cognitive deficits of MS patients and normal, healthy control subjects. We also contrasted our findings in MS to those previously reported in studies of patients with dementia due to probable Alzheimer's disease.1719 Our analyses revealed a personality disorder that involves certain elements of the five-factor model and is associated with impairment of new learning and executive control.

METHODS

Subjects

Thirty-four patients with laboratory or clinically definite MS20 were referred for evaluation of cognitive dysfunction or responded to an advertisement for MS patients with emotional problems. In addition to neuropsychological evaluation, patients underwent magnetic resonance imaging (MRI) and neurological examination to derive an Expanded Disability Status Scale (EDSS) rating.21 Some patients also participated in an experimental trial of a newly developed psychological intervention designed to diminish the frequency of socially aggressive behaviors. The results of the MRI and the psychological study will be presented in separate reports.
Twenty-one patients had a progressive form of MS and 13 had relapsing disease. EDSS scores ranged from 1.0 to 8.5 (mode=3.0). There were 32 Caucasian patients and 2 African Americans. The male/female ratio was 13/21 (62% female).
Fourteen normal volunteers (12 women, 2 men), all Caucasian, matched to the MS group on age and education, were also studied as control subjects.
All participants were seen with an informant who provided collateral information for the history and completed questionnaires pertaining to the primary participant's personality. Among patients, 68% (23) of the informants were spouses, 23% (8) were parents, and 9% (3) were domestic partners or friends. Among control subjects, the informant roles were 83% (12) spouse, 7% (1) parent, 14% (2) domestic partner or friend. The proportion of informants in each category did not differ across groups by chi-square test (χ2=3.3, P=0.50).
Exclusion criteria included history of neurological disease other than MS (or for control subjects, any neurologic disease), drug or alcohol dependence, psychiatric disease other than psychological problems attributable to MS, or clinical MS relapse (or steroid treatment) within 3 weeks prior to participation.

Measures

Depression was quantified by use of the Beck Depression Inventory (BDI).22 Cognitive tests, based on previous studies of dementia and MS,23,24 were reduced to 10 variables for statistical analysis (Table 1). Language was assessed by the University of Victoria version of the Token Test25 and the Boston Naming Test.26 Spatial processing was assessed with the Judgment of Line Orientation Test27 and the copy administration of the Complex Figure Test.28 The California Verbal Learning Test29 and the Brief Visuospatial Memory Test–Revised30 assessed new learning and memory. Attention and/or rate of processing was examined by the Trail Making Test, Part B,31 and the Paced Auditory Serial Addition Test.32 The Wisconsin Card Sorting Test33 and the Booklet Category Test34 were employed to measure higher executive ability.
Interpersonal empathy was assessed with a 15-item, adapted version of the Hogan Empathy Scale (HES).35 Higher scores indicate a greater degree of empathy in social situations. Personality was further evaluated with the revised NEO Personality Inventory (NEO-PI),12 including the five domain scores as follows: Neuroticism, Extraversion, Openness, Agreeableness, Conscientiousness. In accordance with the five-factor model, Neuroticism refers to the degree of emotional responsiveness and proclivity for negative affect. Extraversion refers to dependence upon external stimulation for arousal; that is, extroverts are outgoing and sensation seeking. Openness reflects one's desire for new knowledge, ideas, and experiences. Agreeableness is the desire for socialization, honesty, and altruism in relationships. Conscientiousness is the proclivity to be well organized and deliberate. Domain subscale scores (six for each domain) were also examined in some analyses, as described below. The raw scores derived from the NEO-PI were converted to T-scores (mean=50, SD=10), with higher scores indicating a stronger endorsement of each personality trait. All informants for MS patients and control subjects completed these tests without assistance. Some MS patients had questions read to them to avoid fatigue.
Discrepancy scores were calculated for the HES and each NEO-PI domain score. In each case, differences between self and informant report were calculated and the absolute value of the difference recorded. Absolute differences in raw scores were employed for the HES, and differences in T-scores were employed for the NEO-PI.

Procedure

All participants underwent an initial structured telephone screening interview, emphasizing DSM-IV36 criteria for psychiatric disorders. Mood and substance-related disorders were covered in detail to rule out previously untreated disease. After screening, participants underwent neuropsychological and neurological examinations. (Control subjects completed only the personality and neuropsychological tests.) Neuropsychological testing was performed by a trained technician supervised by a board-certified clinical neuropsychologist. All participants provided signed, Institutional Research Board–approved, informed consent.

Statistical Analyses

First, group means were compared by Student's t (cognitive and informant-reported personality) and paired-sample t-tests (patient vs. informant reports), which were considered reliable only where P<0.01 to control for Type I error. Dependent measures included the cognitive measures; BDI; HES; the primary NEO-PI scale scores for Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness; and self/informant discrepancies for the HES and NEO-PI.
Second, linear regression analyses (forward selection, entrance criterion of 0.05, exit criterion of 0.10) were performed to identify cognitive variables that predict abnormal HES and NEO-PI ratings. EDSS and BDI were entered into each regression analysis first (block 1), to control for the influence of physical disability and depression in estimating the association between cognition (block 2) and each personality domain (dependent variable). These analyses included NEO-PI subscales within each primary scale, but the Openness domain was excluded because this scale did not discriminate patients and control subjects in the first analysis.
Third, a similar regression analytic strategy was used to examine the association between cognitive impairment and self/informant discrepancy scores. Only those personality measures in which the self and informant report values differed significantly were examined (HES, NEO-PI Conscientiousness). Because the specific content within personality domains was considered unimportant in evaluating the relationship between discrepancy scores and cognition, these analyses did not include NEO-PI subscale scores.

RESULTS

Comparisons of Patients and Control Subjects

Although the groups were well matched on age, education, and estimated premorbid IQ (Table 2),37 MS patients performed more poorly than control subjects on nearly every cognitive test. MS patients were more depressed on the BDI (P<0.01).
MS patients were rated lower on the HES, as well as on NEO-PI Extraversion (P<0.01), Agreeableness (P<0.01), and Conscientiousness (P<0.01). Patients were rated significantly higher on Neuroticism (P<0.01).
There were no significant differences between self and informant reports among control subjects, but MS patients generated higher self-ratings in comparison to those of informants on the HES (P<0.01). Patients also rated themselves significantly higher in Conscientiousness (P<0.001).

Cognitive Predictors of Abnormal Personality

Linear regression analyses were performed to identify neuropsychological variables that predict abnormal personality ratings by informant report (Table 3). EDSS was significantly correlated with Conscientiousness (r=−0.40), but there were no other reliable correlations between EDSS or BDI and the informant-report personality indices. When EDSS and BDI were controlled in subsequent regression analyses, significant relationships emerged between personality and tests of executive function (Wisconsin Card Sorting Test perseverative responses, Booklet Category Test errors) and visual learning (Brief Visuospatial Memory Test recall). Executive tasks were significant predictors in regression models for low ratings on HES and Altruism, and elevated ratings on Positive Emotions. Impaired learning significantly predicted increased Vulnerability, and low ratings within the Conscientiousness domain (Competence, Dutifulness). EDSS and BDI were retained in only one final regression model (Conscientiousness), and in this case, visual learning was the strongest predictor.
The strength of association between neuropsychological and personality measures can be shown by way of partial correlations (Table 3), which control for the influence of EDSS and BDI. These partial r's were statistically reliable for HES, Vulnerability, Positive Emotions, Altruism, Conscientiousness, Competence, and Dutifulness.

Cognitive Predictors of Self/Informant Disagreements

Both Wisconsin Card Sorting Test perseverations and Complex Figure Test copy scores were retained in the final model predicting mean discrepancy score on HES (R2=0.29, P=0.011). Perseverations, the highest-loading predictor, was associated with greater patient/informant disagreement. The partial correlation between perseverations and HES discrepancy, controlling for EDSS, was marginally significant (r=0.39, P<0.05), and the partial r controlling for BDI was not reliable.
In the model predicting NEO-PI Conscientiousness disagreements, only the Wisconsin Card Sorting Test was retained (R2=0.31, P=0.001). Although EDSS and BDI were not retained in the model, lower BDI scores (r=−0.28) and higher EDSS scores (r=0.31) were modestly associated with greater patient/informant disagreement (R2=0.24, P=0.003). Partial correlations between perseverations and Conscientiousness discrepancy scores, controlling for EDSS (r=−0.57, P<0.01) and BDI (r=0.54, R<0.015), were both reliable.

DISCUSSION

We report evidence of abnormal personality traits in MS that are similar to those previously described in patients with probable Alzheimer's disease,1719 using a comprehensive test of personality that encompasses the full spectrum of traits widely recognized in the psychological literature.1116 Compared with normal control subjects, cognitively impaired MS patients were more neurotic and were less empathic, agreeable, and conscientious. In other words, they were judged by friends and relatives as emotionally overreactive, more irritable, and more tense than normal. They were also considered less outgoing, deliberate, and appreciative of the thoughts and feelings of others. Similar traits were found previously in Alzheimer's disease by using the NEO-PI, suggesting that our data may be demonstrating a more general dementia personality profile.1719 Further research that includes patient control samples will be needed before conclusions can be made regarding the specificity of these personality findings to MS.
This is the first study to compare patient self-reports and informant reports in MS using the same validated personality instrument. Some of our patients acknowledged personality changes on the NEO-PI and HES tests, but they more often overestimated their capacity for empathy and conscientiousness. Thus, our MS patients had little insight into their maladaptive behavior patterns and personality traits. Previous NEO-PI research demonstrated that self and informant reports yielded similar data, even in severely depressed samples.38 Such data support the idea that acute psychiatric symptoms can be differentiated from trait measures of personality and that the NEO-PI yields valid results in psychiatric patients. Our current findings, in contrast, suggest that NEO-PI self-reports are confounded with dementia. We would note that the validity of informant reports in cognitively impaired samples has not been well studied. It is possible that family members may develop biases pertaining to patient behavior during the course of a debilitating illness such as MS or Alzheimer's disease.
As questionnaire measures, the NEO-PI and HES involve the capacity for language (reading, language comprehension), and thus dementia could confound their interpretation. However, we believe that the discrepancies between patient and informant ratings were not due to test-taking artifacts for several reasons. First, language is relatively preserved in MS, and the test questions were read to patients (or they were otherwise assisted) when necessary. Second, patient/informant discrepancies were apparent only in the areas of empathy and conscientiousness, suggesting that these disagreements were due to poor self-awareness. If the lack of agreement were due to testing artifact, discrepancies would likely appear in all personality domains. The presence of discrepancies only in empathy and conscientiousness suggests that patients have greater difficulty recognizing their errors and handicaps in these areas, in contrast to changes involving sadness, confidence, and other aspects of neuroticism and extraversion.
The generalizability of our findings might be questioned because our patients responded to advertisements regarding the presence of “emotional problems.” On the other hand, depression is quite common in MS,3941 and recent prevalence estimates place the MS patient's lifetime risk for depression, conservatively defined by structured psychiatric interview, at roughly 50%.42 Furthermore, the mean BDI obtained in our sample is similar to that reported in other clinical MS samples.43 Thus, although our sample may have been more psychiatrically impaired than a random, community-based sample, the results can be generalized to other clinic samples. As expected, correlations between high BDI and EDSS scores and abnormal personality ratings were significant, or approached significance. However, the association between defects in personality and cognitive impairment remained after controlling for these factors statistically.
Limitations in our methodology prevent us from reaching definite conclusions regarding the acquisition of this syndrome. The hypothesis that the disorder is acquired is supported only indirectly by the concordance between our objective findings and previous case reports of acquired euphoria3,4 and its reported correlations with cognitive dysfunction. A stronger method would involve examining a random sample of recently diagnosed cases and performing repeat exams at designated intervals that would allow for the development of the disorder (e.g., 5 to 10 years).
Our findings differ from those in previous studies of the NEO-PI and cognition in Alzheimer's disease patients,1719 where there was no correlation between cognitive function and personality change. The lack of correlation in these studies might be due to limited sensitivity of the Folstein Mini-Mental State Examination, which was the only measure of cognitive function employed. It is also possible that dementia and personality traits simply overlap to a greater degree in MS than in Alzheimer-type dementia.
Although euphoria is usually regarded as a primary affective disorder in MS,5 it may be more accurately construed as a change in trait or character that includes rapid vacillations in mood (including anger, dysphoria, and euphoria), unrealistic optimism, denial, and/or inappropriate social behavior.3,41 Our findings are consistent with this view of euphoria in that our patients were rated as being quite low in empathy and conscientiousness and high in neuroticism. The association between these traits and cognitive dysfunction supports the idea that the personality changes are neurogenic.
We identified three commonly used neuropsychological tests that predict the presence of these abnormal personality traits (Wisconsin Card Sorting Test, Booklet Category Test, Brief Visuospatial Memory Test). Viewed collectively, these measures appear to involve executive abilities such as freedom from perseveration, conceptualization, visual working memory, and new learning. This executive aspect of neuropsychological function was associated in particular with reduced empathy and altruism, as well as elevation in positive mood states such as optimism and humor—traits that are often included in descriptions of pathological euphoria.3 These same measures were correlated with reduced conscientiousness on the NEO-PI, although impaired visual learning accounted for the most variance in this domain. Overall, these significant associations between personality and executive ability suggest that this disorder may be caused by frontal lobe dysfunction, a possibility we are now investigating by MRI measurements of MS patients with this syndrome.

ACKNOWLEDGMENTS

This research was supported in part by Pilot Research Project Award #PP0574 from the National Multiple Sclerosis Society.
TABLE 1. Neuropsychological measures
TABLE 2. Test results by group
TABLE 3. Correlations and results of linear regression analyses

References

1.
Charcot JM: Lectures on the Diseases of the Nervous System. London, New Sydenham Society, 1877
2.
Feinstein A, Feinstein K, Gray T, et al: Prevalence and neurobehavioral correlates of pathological laughing and crying in multiple sclerosis. Arch Neurol 1997; 54:1116–1121
3.
Finger S: A happy state of mind. Arch Neurol 1998; 55:241–250
4.
Minden SL, Schiffer RB: Affective disorders in multiple sclerosis: review and recommendations for clinical research. Arch Neurol 1990; 47:98–104
5.
Surridge D: An investigation into some psychiatric aspects of multiple sclerosis. Br J Psychiatry 1969; 115:749–764
6.
Gilchrist AC, Creed FH: Depression, cognitive impairment and social stress in multiple sclerosis. J Psychosom Res 1994; 38:193–201
7.
Krupp LB, Sliwinski M, Masur DM, et al: Cognitive functioning and depression in patients with chronic fatigue syndrome and multiple sclerosis. Arch Neurol 1994; 51:705–710
8.
Millefiorini E, Padovani A, Pozzilli C: Depression in the early phase of MS: influence of functional disability, cognitive impairment and brain abnormalities. Acta Neurol Scand 1992; 86:354–358
9.
Noy S, Achiron A, Gabbay U, et al: A new approach to affective symptoms in relapsing-remitting multiple sclerosis. Compr Psychiatry 1995; 36:390–395
10.
Peyser JM, Edwards KR, Poser CM: Psychological profiles in patients with multiple sclerosis. Arch Neurol 1980; 37:437–440
11.
Digman JM: Personality structure: emergence of the five-factor model. Annu Rev Psychol 1990; 41:417–440
12.
Costa PT, McCrae RR: Professional Manual for the Revised NEO Personality Inventory and NEO Five-Factor Inventory. Odessa, FL, Psychological Assessment Resources, 1992
13.
Goldberg LR: The structure of phenotypic personality traits. Am Psychol 1993; 48:26–34
14.
Marshall GN, Wortman CB, Vickers RR, et al: The five-factor model of personality as a framework for personality-health research. J Personal Soc Psychol 1994; 67:278–286
15.
Eysenck HJ: Personality and Individual Differences: A Natural Science Approach. New York, Plenum, 1985
16.
McCrae RR, Costa PT: Validation of a five-factor model of personality across instruments and observers. J Personal Soc Psychol 1987; 52:81–90
17.
Chatterjee A, Strauss M, Smyth KA, et al: Personality changes in Alzheimer's disease. Arch Neurol 1992; 49:486–491
18.
Williams R, Briggs R, Coleman P: Carer-rated personality changes associated with senile dementia. Int J Geriatr Psychiatry 1995; 10:231–236
19.
Welleford EA, Harkins SW, Taylor JR: Personality change in dementia of the Alzheimer's type: relations to caregiver personality and burden. Exp Aging Res 1995; 21:295–314
20.
Poser CM, Paty DW, Scheinberg L, et al: New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol 1983; 13:655–661
21.
Kurtzke JF: Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Ann Neurol 1983; 13:227–231
22.
Beck AT: Beck Depression Inventory. San Antonio, TX, Psychological Corporation, 1993
23.
Rao SM: Neuropsychology of multiple sclerosis: a critical review. J Clin Exp Neuropsychol 1986; 8:503–542
24.
Fischer JS, Foley FW, Aikens JE, et al: What do we really know about cognitive dysfunction, affective disorders, and stress in multiple sclerosis? A practitioner's guide. Journal of Neurological Rehabilitation 1994; 8:151–164
25.
Spreen O, Strauss E: A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary, 2nd edition. New York, Oxford University Press, 1998
26.
Kaplan EF, Goodglass H, Weintraub S: The Boston Naming Test. Philadelphia, Lea and Febiger, 1983
27.
Benton AL, Sivan AB, Hamsher K, et al: Contributions to Neuropsychological Assessment, 2nd edition. New York, Oxford University Press, 1994
28.
Rey A: L'examen psychologique dans les cas d'encephalopathie traumatique. Arch Psychologie 1941; 28:286–340
29.
Delis DC, Kramer JH, Kaplan E, et al: California Verbal Learning Test: Adult Version. San Antonio, TX, Psychological Corporation, 1987
30.
Benedict RHB: Brief Visuospatial Memory Test–Revised: Professional Manual. Odessa, FL, Psychological Assessment Resources, 1997
31.
Reitan RM: Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills 1958; 8:271–276
32.
Gronwall DMA: Paced Auditory Serial Addition Task: a measure of recovery from concussion. Percept Mot Skills 1977; 44:367–373
33.
Heaton RK: A Manual for the Wisconsin Card Sorting Test. Odessa, FL, Psychological Assessment Resources, 1981
34.
DeFilippis NA, McCampbell E: Manual for the Booklet Category Test. Odessa, FL, Psychological Assessment Resources, 1991
35.
Hogan R: Development of an empathy scale. J Consult Clin Psychol 1969; 33:307–316
36.
American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, 4th edition. Washington, DC, American Psychiatric Association, 1994
37.
Barona A, Reynolds CR, Chastain R: A demographically based index of pre-morbid intelligence for the WAIS-R. J Consult Clin Psychol 1984; 52:885–887
38.
Bagby RM, Rector NA, Bindseil K, et al: Self-report ratings and informants' ratings of personalities of depressed outpatients. Am J Psychiatry 1998; 155:437–438
39.
Devins GM, Seland TP: Emotional impact of multiple sclerosis: recent findings and suggestions for future research. Psychol Bull 1987; 101:363–375
40.
Murray TJ: The psychosocial aspects of multiple sclerosis. Neurology Clinics 1995; 13:197–223
41.
Cottrell SS, Wilson SAK: The affective symptomatology of disseminated sclerosis. Journal of Neurology and Psychopathology 1926; 1–30
42.
Sadovnick AD, Remick RA, Allen J, et al: Depression and multiple sclerosis. Neurology 1996; 46:628–632
43.
Huber SJ, Rammohan KW, Bornstein R, et al: Depressive symptoms are not influenced by severity of multiple sclerosis. Neuropsychiatry Neuropsychol Behav Neurol 1993; 6:177–180

Information & Authors

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Go to The Journal of Neuropsychiatry and Clinical Neurosciences
Go to The Journal of Neuropsychiatry and Clinical Neurosciences
The Journal of Neuropsychiatry and Clinical Neurosciences
Pages: 70 - 76
PubMed: 11207332

History

Published online: 1 February 2001
Published in print: February 2001

Authors

Affiliations

Ralph H.B. Benedict, Ph.D.
Received May 24, 1999; revised April 20, 2000; accepted May 9, 2000. From the Department of Neurology, State University of New York at Buffalo School of Medicine, Buffalo, New York. Address correspondence to Dr. Benedict, Department of Neurology, Buffalo General Hospital (D-6), 100 High Street, Buffalo, NY 14203.
Roger L. Priore, Sc.D.
Received May 24, 1999; revised April 20, 2000; accepted May 9, 2000. From the Department of Neurology, State University of New York at Buffalo School of Medicine, Buffalo, New York. Address correspondence to Dr. Benedict, Department of Neurology, Buffalo General Hospital (D-6), 100 High Street, Buffalo, NY 14203.
Colleen Miller, R.N., N.P., D.N.S.
Received May 24, 1999; revised April 20, 2000; accepted May 9, 2000. From the Department of Neurology, State University of New York at Buffalo School of Medicine, Buffalo, New York. Address correspondence to Dr. Benedict, Department of Neurology, Buffalo General Hospital (D-6), 100 High Street, Buffalo, NY 14203.
Frederick Munschauer, M.D.
Received May 24, 1999; revised April 20, 2000; accepted May 9, 2000. From the Department of Neurology, State University of New York at Buffalo School of Medicine, Buffalo, New York. Address correspondence to Dr. Benedict, Department of Neurology, Buffalo General Hospital (D-6), 100 High Street, Buffalo, NY 14203.
Lawrence Jacobs, M.D.
Received May 24, 1999; revised April 20, 2000; accepted May 9, 2000. From the Department of Neurology, State University of New York at Buffalo School of Medicine, Buffalo, New York. Address correspondence to Dr. Benedict, Department of Neurology, Buffalo General Hospital (D-6), 100 High Street, Buffalo, NY 14203.

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