Article

EEG findings in depressive pseudodementia and dementia with secondary depression.

Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
Electroencephalography and Clinical Neurophysiology 05/1989; 72(4):298-304. DOI: 10.1016/0013-4694(89)90065-5
Source: PubMed

ABSTRACT We report EEG findings in 33 elderly patients with mixed symptoms of depression and dementia, followed longitudinally to confirm diagnosis. Two groups of patients, dementia with depressive features (mixed-DEM, group I, n = 23) and patients with depressive pseudodementia (mixed-DEP, group II, n = 10), were defined. In addition, we also included, for comparison purposes, 35 patients with probable AD without depressive features (group III), 23 patients with major depression without cognitive impairment (group IV), and 61 healthy elderly controls (group V). We found significant group differences on waking EEGs between those mixed patients who did well after treatment for depression (depressive pseudodementia) compared to patients having dementia with secondary depression. The differences paralleled those between the 'pure' groups of demented and depressed patients. In patients with either depression or depressive pseudodementia, the EEG was usually normal or showed only mild abnormalities. In contrast, the majority of patients with either dementia or dementia with secondary depression had abnormal EEGs, with approximately one-third having moderate (or severe) abnormalities. Although the EEG was usually normal or only mildly abnormal in patients with pseudodementia or depression, these groups (II and IV) did show a significant slowing of the dominant posterior rhythm compared to controls. They also had a higher percentage of generalized abnormal EEGs than controls and this difference was significant between group IV (depression) and controls.

0 Followers
 · 
118 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: This review of the electroencephalography (EEG) of the elderly is concerned with definitions of terms; normal EEG variability during wakefulness, drowsiness, and sleep; paroxysmal activity; and EEG (including results of computerized spectral analysis) in selected disorders commonly affecting the elderly.
    Journal of Clinical Neurophysiology 04/1995; 12(2):116-31. DOI:10.1097/00004691-199503000-00002 · 1.60 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The relations between quantitative EEG, regional cerebral blood flow (rCBF), severity of disease and neuropsychological data were analyzed in 31 patients in different stages of Alzheimer's disease (AD). As a group the demented patients had higher delta and theta activities, lower alpha activity and lower alpha peak frequency than control subjects. rCBF was reduced in all regions studied but mainly in the temporoparietal areas. An analysis of correlations showed a close relationship between rCBF and certain quantitative EEG parameters in AD patients, mainly the power of the theta and delta bands. Both rCBF evaluation and quantitative EEG provide functional information related to the severity of cognitive impairment.
    Dementia (Basel, Switzerland) 05/1995; 6(3):148-56. DOI:10.1159/000106938
  • [Show abstract] [Hide abstract]
    ABSTRACT: The accuracy of computerized EEG to discriminate depressive pseudodementia from dementia was evaluated in 12 inpatients with recent cognitive impairments (all with DSM III R diagnosis of dementia). EEG were performed during wash-out period, then all subjects underwent an ECT and/or antidepressant trial. After this trial, clinical improvement was significant for six patients, while the six others remained unimproved. According to these two groups, electrophysiological datas were retrospectively compared. Discriminant stepwise analysis exhibited that the combination of two parameters: symetry of occipital alpha power and frontal alpha/theta ratio, was able to discriminate future responders from non responders patients with a greater accuracy than clinical and classical EEG parameters.
    Neurophysiologie Clinique/Clinical Neurophysiology 11/1994; 24(5):343-356. DOI:10.1016/S0987-7053(05)80248-5 · 1.46 Impact Factor