Richard F. Ulrich

Normative data on revised Conners Parent and Teacher Rating Scales.

Normative data are presented for 570 children on newly revised versions of the Conners Parent and Teacher Rating Scales. Symptom ratings were factor analyzed and structures compared favorably with those obtained using earlier versions of the questionnaires. Interrater correlations (mother-father, parent-teacher) were also reported. Age and sex effects were found to be significant determinants of children s scores, while social class effects were nonsignificant.

Computerized EEG spectral analysis in elderly normal, demented and depressed subjects

Computerized spectral analysis of the EEG was performed in 35 patients with Alzheimers disease and compared to patients with major depression (23) and healthy elderly controls (61). Compared to controls, demented patients had a significant increase in the theta and alpha 1 bandwidths as well as an increased theta-beta difference. The parasagittal mean frequency, beta 1 and beta 2 activity were significantly decreased. Depressed patients differed from demented patients, particularly at the lower end of the spectrum, having significantly less delta and theta activity. Like the demented group, depressed patients also had a decreased parasagittal mean frequency, beta 1 and beta 2 when compared to controls. In demented patients, there was a high correlation between several spectral parameters (parasagittal mean frequency, delta and theta activity, and the theta-beta difference) and the Folstein score, EEG measures used for discriminant analysis were more accurate in identifying demented patients who had lower Folstein scores.

All-night spectral analysis of the sleep EEG in untreated depressives and normal controls

Sleep was recorded in nine drug-free depressive patients and nine age- and sex-matched normal control subjects. All-night spectral analysis of the sleep electroencephalogram (EEG) showed a significantly reduced power density in the 0.25-2.50 Hz band in the depressive group. Power density values integrated over the entire frequency range (0.25-25.0 Hz) exhibited for both groups a decreasing trend over the first three non-REM/REM sleep cycles. In each cycle depressives had lower values than controls. The results are consistent with hypothesis that the build-up of a sleep-dependent process is deficient in the sleep regulation of depressive patients.

The limited effects of antipsychotic medication on schizophrenia relapse and adjustment and the contributions of psychosocial treatment

Abstract Whether psychosocial treatment adds substantially to the prophylactic efficacy of maintenance antipsychotic monotherapy requires a more accurate estimate of relapse risks than those contained in recent reviews. A reappraisal of the literature suggests a 1-year, post- hospital, relapse rate of 40% on medication, and a substantially higher rate among patients who live in stressful environments, rather than earlier estimates of 16%. Relapse rates of 65% at 1 year and over 80% by 2 years among drug discontinued or placebo substituted outpatients are also more accurate than the 53% relapse rate previously estimated. When psychosocial treatment is added to maintenance chemotherapy, there is compelling evidence that relapse rates are reduced by as much as 50% compared with relapse associated with medication and standard care. However, psychosocial treatment without medication is as ineffective as placebo. The additive effects appear greater for recent, theoretically based psychosocial approaches than earlier atheoretical, altruistic forms of caring. However, effects vary according to the patients clinical state, the nature and timing of the intervention, and the presence of environmental stressors. Regarding adjustment, very little definitive information regarding psychosocial treatment effects has existed until recently. A novel, disorder-relevant approach has now been shown to have broad and significant effects on social adjustment compared with medication and support. However, the magnitude of effects is not fully realized until a third year of treatment: a distinct challenge in the era of managed care. Atypical antipsychotics and more definitive psychosocial strategies that target social cognitive deficits hold promise for enhanced outcomes in the next generation of studies.

Diagnostic efficacy of computerized spectral versus visual EEG analysis in elderly normal, demented and depressed subjects.

Computerized spectral and visual EEG analyses were performed in 35 patients with Alzheimers disease (AD) and compared to 23 patients with major depression and to 61 healthy elderly controls. In particular, we were interested in the diagnostic efficacy of these two techniques in the identification of cases of AD with only mild cognitive impairment (as measured by the Folstein Mini-Mental State score). For the computer analyzed data, in differentiating AD patients from controls, the spectral pooled parasagittal mean frequency was used. In comparing AD patients to depressed subjects, a combined parasagittal delta and theta spectral score was employed. Visual analysis criteria were based on the severity of generalized EEG abnormalities (with or without focal features). We found that spectral analysis afforded only modest advantages over visual EEG analysis in differentiating AD patients from elderly controls as well as from those with major depression. Since the degree of spectral and visual EEG abnormalities correlated with the severity of dementia, both tests more often correctly classified those AD patients with lower Folstein scores. Also, both tests identified primarily the same patients. We did not find the computer to be more sensitive than the eye in the identification of AD patients with mild impairment. However, computerized spectral data was derived from only 4 channels, while 16 channels and a longer recording time were used for visual analysis. In addition, some areas which have been reported to show EEG abnormalities in AD were not included in the computerized data.

Application of automated REM and slow wave sleep analysis: II. Testing the assumptions of the two-process model of sleep regulation in normal and depressed subjects

Abnormalities in a two-process model of sleep regulation (a sleep-dependent process, termed Process S, and a sleep-independent circadian process, termed Process C) have been proposed to account for sleep abnormalities in depressive states. The major tenets of the two-process model of sleep regulation as applied to depression are: the level of process S, as reflected by the electroencephalographic (EEG) slow-wave activity, corresponds to the sleep-dependent facet of sleep propensity; the pathognomonic changes of sleep in depressives are a consequence of a deficiency in the build-up of process S. The application of automated rapid eye movement (REM) and delta wave analyses in normal subjects and younger depressed patients supports the model to some extent: The time spent asleep is positively correlated with total delta waves (normals and depressives) and average delta waves (depressives); delta sleep is lower in depressives than in normals; the average delta wave count is significantly reduced in younger depressives over the total night and in non-REM period 1. The model also postulates that measures of phasic REM activity are inversely related to process S, suggesting that process S can be regarded as exerting an inhibitory influence on phasic REM activity.

Black-white differences in psychopathology in an urban psychiatric population

The study was conducted in a psychiatric setting that services a large metropolitan population. It relied on the semi-structured Initial Evaluation Form which is completed by expert trained clinicians and which is geared to a comprehensive evaluation along the lines stipulated in DSM-III. The symptoms of a large sample of white and black patients are compared. The study relied on an Analysis of Variance (ANOVA) procedure which controlled for age, gender and education and concentrated exclusively on ethnic differences in clinically homogenous subgroups. The sample was partitioned into relatively pure groups of DSM-III diagnoses that are frequent in the population, including schizophrenia, affective and anxiety disorders, dementia, paranoid and manic disorders. Prominent black/white differences in psychopathology were noted, but in only a few instances included items generally thought of as typical of a specific disorder. Some differences appeared to be due to selection factors and others raised the question of alternate expressions of psychopathology among blacks as versus whites. The significance of the results obtained is discussed together with questions requiring further research. Some of the issues involved in the study of black/white differences in psychopathology are critically analyzed.

Comparison of automated REM and slow-wave sleep analysis in young and middle-aged depressed subjects

A comparison of electroencephalographic sleep measures between young and middle-aged groups of depressed inpatients was conducted with specific interest in the application of automated measures of REM and delta wave sleep. Aside from the expected differences in sleep continuity, increased Stage 1 percent, decreased Stage 2 percent, and decreased REM latency in the middle-aged depressives as compared to the younger depressives, distinct findings from automated analyses were noted in the distribution of REM and delta sleep throughout the night. Although the younger depressed patients showed increased numbers of delta waves, the middle-aged depressives showed greater average REM count. Such changes were more pronounced in the first third of the night. Finally, in the middle-aged depressives, little statistical relationship between manual measures of slow-wave sleep and automated measures of delta sleep was found.

Effects of Aging on EEG Sleep in Depression

Many of the same electroencephalographic sleep measures which differentiate between normals and depressed patients have also shown differences among age groups within a normal population. The present study examines sleep measures in 87 inpatients with a major depressive syndrome, examining the specific sleep variables which are correlated with age between 18 and 60 years. REM latency shows a distinct decline with age, an effect not well demonstrated in normals. Thus, REM latency may differ from variables which measure aspects of awakening and which show a clear age trend in normal subjects. Since many sleep measures are greatly skewed or have truncated distributions, the present paper provides several alternative styles of measurement which allow comparisons to be made easily and also facilitate multivariate testing.

Application of automated REM and slow wave sleep analysis: I. Normal and depressed subjects.

Computerized analysis of rapid eye movement (REM) and delta electroencephalographic (EEG) sleep patterns in normal and depressed subjects offers opportunities to examine sleep more precisely than previously possible. In the present study, automated REM analyses demonstrated good reliability with traditional manual procedures in both normal and depressed subjects. However, automated delta analyses correlated well with traditional scoring in normal subjects, but not in depressed patients. These findings suggest the use of automated delta techniques similar to those employed in this report or spectral analytic techniques in the following types of studies: specificity of delta sleep in various psychiatric syndromes, changes in delta sleep produced by the administration of psychotropic agents, relationships between delta sleep and sleep-related neuro-endocrine patterns, and, finally, relationships between delta sleep patterns and other biological rhythms such as activity and temperature.