- Title
- Salience Network―Based Classification and Prediction of Symptom Severity in Children With Autism
- Creators
- Lucina Q UDDIN - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesKaustubh SUPEKAR - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesCharles J LYNCH - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesAmirah KHOUZAM - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesJennifer PHILLIPS - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesCarl FEINSTEIN - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesSrikanth RYALI - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United StatesVinod MENON - Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United States
- Publication Details
- JAMA psychiatry (Chicago, Ill.), Vol.70(8), pp.869-879
- Publisher
- American Medical Association
- Academic Unit
- College of A&S; A&S - Psychology
- Language
- English
- Resource Type
- Journal article
- PMID
- 23803651
- PMCID
- PMC3951904
- Record Identifier
- 991031599482002976
Journal article
Salience Network―Based Classification and Prediction of Symptom Severity in Children With Autism
JAMA psychiatry (Chicago, Ill.), Vol.70(8), pp.869-879
2013
PMCID: PMC3951904
PMID: 23803651
Metrics
27 Record Views
InCites Highlights
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Highly Cited Paper
- Citation topics
- 1 Clinical & Life Sciences
- 1.7 Neuroscanning
- 1.7.720 Functional Connectivity
- Web Of Science research areas
- Psychiatry
- ESI research areas
- Psychiatry/Psychology
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Source: InCites