[Skip to Content]
Access to paid content on this site is currently suspended due to excessive activity being detected from your IP address Please contact the publisher to request reinstatement.
[Skip to Content Landing]
October 1995

The Relationship of Neuropsychological Functioning to Quality of Life in Epilepsy

Author Affiliations

From the Department of Neurology, New York (NY) University School of Medicine and Hospital for Joint Diseases (Drs Perrine and Devinsky); the Departments of Psychiatry and Neurosurgery, University of Tennessee and Epi-Care Center, Memphis (Dr Hermann); the Department of Neurology, Medical College of Georgia, Augusta (Dr Meador); the Department of Neurology, School of Medicine, University of California—Los Angeles (Dr Vickrey); the Department of Social Policy, RAND, Santa Monica, Calif (Drs Vickrey and Hays); and Health Services Research, West Haven (Conn) Veterans Affairs Medical Center (Ms Cramer).

Arch Neurol. 1995;52(10):997-1003. doi:10.1001/archneur.1995.00540340089017

Objective:  To examine the relationship of objectively assessed cognitive functioning to self-reported quality of life.

Design:  Correlational, multiple regression, and factor analytic comparisons of a new self-report quality of life inventory with neuropsychological tests of cognition and mood.

Subjects:  Two hundred fifty-seven patients with epilepsy.

Setting:  Twenty-five epilepsy centers and neurology clinics across the United States.

Measures:  A recently developed self-report (ie, Quality of Life in Epilepsy—89 inventory) and objective tests of memory, verbal abilities, spatial functions, psychomotor and cognitive processing speed, cognitive flexibility, and mood.

Results:  Factors that assessed mood, psychomotor speed, verbal memory, and language correlated significantly with selected scales of the Quality of Life in Epilepsy—89 inventory (P<.0001) and were predictive of overall quality of life (P<.002 to P<.0001). The mood factor showed the highest correlations (r=−.20 to r=−.73) and was the strongest predictor of quality of life in regression analyses (46.7% explained variance, P<.0001).

Conclusions:  Mood may be adversely affected by diminished quality of life, or perceived quality of life may be affected by mood disturbance. Quantitative quality of life assessments can be used in conjunction with formal neuropsychological testing of mood and cognition when evaluating patients with epilepsy.