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Quantitative electroencephalography in late-onset schizophrenia.

Roy R Reeves1, Frederick A Struve

  • 1University of Mississippi School of Medicine, Jackson, Mississippi, USA. roy.reeves@med.va.gov

International Psychogeriatrics
|February 6, 2004
PubMed
Summary

Late-onset schizophrenia (LOS) may have different neurophysiological mechanisms than typical schizophrenia. EEG findings in LOS patients did not significantly differ from normal controls, suggesting brain abnormalities are not inevitable.

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Schizophrenia typically emerges in early adulthood with observable electroencephalogram (EEG) abnormalities.
  • Late-onset schizophrenia (LOS), beginning between ages 40-60, has distinct characteristics requiring further investigation.

Purpose of the Study:

  • To investigate electroencephalogram (EEG) findings in patients diagnosed with late-onset schizophrenia (LOS).
  • To compare EEG data from LOS patients to a normative database of age-matched healthy individuals.

Main Methods:

  • Quantitative electroencephalogram (qEEG) and magnetic resonance imaging (MRI) were performed on ten LOS patients (mean age 52.8).
  • EEG variables, including absolute and relative power, mean frequencies, and interhemispheric coherence, were analyzed.

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  • MRI results were assessed for abnormalities.

    • Main Results:

    • MRI scans revealed normal findings in seven patients and nonspecific changes in three.
    • Quantitative EEG analysis showed no significant differences in most measured variables compared to a normative database.
    • Eight of the ten LOS patients exhibited EEG patterns comparable to age-matched controls.

    Conclusions:

    • Findings suggest that the neurophysiological underpinnings of LOS may differ from early-onset schizophrenia.
    • Brain abnormalities are not a universal feature of late-onset schizophrenia.
    • The study partially replicates previous EEG findings in LOS, highlighting potential distinctions in disease mechanisms.