Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age.
Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age.
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DOI:
10.1126/scitranslmed.aag2882
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发表时间:
2017-06-07
影响因子:
17.1
通讯作者:
Piven J
中科院分区:
文献类型:
--
作者:
Emerson RW;Adams C;Nishino T;Hazlett HC;Wolff JJ;Zwaigenbaum L;Constantino JN;Shen MD;Swanson MR;Elison JT;Kandala S;Estes AM;Botteron KN;Collins L;Dager SR;Evans AC;Gerig G;Gu H;McKinstry RC;Paterson S;Schultz RT;Styner M;IBIS Network;Schlaggar BL;Pruett JR Jr;Piven J
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social deficits and repetitive behaviors that typically emerge by 24 months of age. To develop effective early interventions that can potentially ameliorate the defining deficits of ASD and improve long-term outcomes, early detection is essential. Using prospective neuroimaging of 59 6-month-old infants with a high familial risk for ASD, we show that functional connectivity magnetic resonance imaging correctly identified which individual children would receive a research clinical best-estimate diagnosis of ASD at 24 months of age. Functional brain connections were defined in 6-month-old infants that correlated with 24-month scores on measures of social behavior, language, motor development, and repetitive behavior, which are all features common to the diagnosis of ASD. A fully cross-validated machine learning algorithm applied at age 6 months had a positive predictive value of 100% [95% confidence interval (CI), 62.9 to 100], correctly predicting 9 of 11 infants who received a diagnosis of ASD at 24 months (sensitivity, 81.8%; 95% CI, 47.8 to 96.8). All 48 6-month-old infants who were not diagnosed with ASD were correctly classified [specificity, 100% (95% CI, 90.8 to 100); negative predictive value, 96.0% (95% CI, 85.1 to 99.3)]. These findings have clinical implications for early risk assessment and the feasibility of developing early preventative interventions for ASD.
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影响因子:
3
作者:
Hagmann P;Grant PE;Fair DA
通讯作者:
Fair DA
DOI:
10.1016/j.cub.2011.12.056
发表时间:
2012-02-21
期刊:
Current biology : CB
影响因子:
--
作者:
Elsabbagh M;Mercure E;Hudry K;Chandler S;Pasco G;Charman T;Pickles A;Baron-Cohen S;Bolton P;Johnson MH;BASIS Team
通讯作者:
BASIS Team
DOI:
10.1176/appi.ajp.2012.12091150
发表时间:
2013-08
期刊:
The American journal of psychiatry
影响因子:
--
作者:
Elison JT;Paterson SJ;Wolff JJ;Reznick JS;Sasson NJ;Gu H;Botteron KN;Dager SR;Estes AM;Evans AC;Gerig G;Hazlett HC;Schultz RT;Styner M;Zwaigenbaum L;Piven J;IBIS Network
通讯作者:
IBIS Network
影响因子:
3.7
作者:
Greene DJ;Church JA;Dosenbach NU;Nielsen AN;Adeyemo B;Nardos B;Petersen SE;Black KJ;Schlaggar BL
通讯作者:
Schlaggar BL
影响因子:
5.7
作者:
Fonov V;Evans AC;Botteron K;Almli CR;McKinstry RC;Collins DL;Brain Development Cooperative Group
通讯作者:
Brain Development Cooperative Group