Quantitative electroencephalography and anatomoclinical principles of aphasia. A validation study.
No single technology in isolation can provide a full view of the anatomoclinical principles evident in the clinical populations we study. The dynamic nature of quantitative electrophysiology makes it an ideal complement to anatomic and metabolic imaging. The statistical conundrum it has presented may be resolved by the approach incorporated in CART. The intent of this study was to examine QEEG and CART in the evaluation of the neurologic bases of a well-defined behavioral disorder like aphasia. The combined power of QEEG and CART yielded objective electrophysiologic methods to predict aphasia that rival the reliability of the language examination. Such success is unprecedented. This success allows us to incorporate QEEG and CART into our technological armamentarium and to return to the evaluation of less well-understood disorders with confidence in both our findings and anatomoclinical principles we derive from them.
Finitzo
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Neuroscience Research Center, Dallas, Texas 75220.
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Chapman
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D000293:Adolescent; D000328:Adult; D000368:Aged; D001037:Aphasia / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D001921:Brain / Q000503:physiopathology*; D002561:Cerebrovascular Disorders / Q000150:complications / Q000503:physiopathology; D003627:Data Interpretation, Statistical; D003663:Decision Trees; D003936:Diagnosis, Computer-Assisted / Q000706:statistics & numerical data; D004569:Electroencephalography / Q000379:methods* / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007807:Language Tests / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies