Infant EEG activity as a biomarker for autism: a promising approach or a false promise?.

Griffin, Richard.
Westbury, Chris.
2011

Abstract: The ability to determine an infant's likelihood of developing autism via a relatively simple neurological measure would constitute an important scientific breakthrough. In their recent publication in this journal, Bosl and colleagues claim that a measure of EEG complexity can be used to detect, with very high accuracy, infants a... read more

Permanent URL
http://hdl.handle.net/10427/010100
Original publication
Griffin, Richard, and Chris Westbury. "Infant EEG activity as a biomarker for autism: a promising approach or a false promise?." BMC Medicine 9, no. 1 (12, 2011): 1-3.
ID: tufts:17431
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