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. Author manuscript; available in PMC: 2016 Apr 22.
Published in final edited form as: Neuron. 2015 Apr 9;86(2):567–577. doi: 10.1016/j.neuron.2015.03.023

Fig. 5. Prognostic classifier performance within ASD for models using clinical behavioral data, fMRI data or both at pre-diagnostic ages.

Fig. 5

This figure shows the performance of 4 classifier models (i.e. partial least squares linear discriminant analyses) using different features for the purpose of distinguishing the ASD Poor from the ASD Good subgroup. All models using behavioral data (e.g., ADOS, Mullen, Vineland) utilize such information from the earliest clinical intake time-point. Information input into the fMRI classifier are percent signal change estimates from the all speech vs rest from all voxels within the NeuroSynth left hemisphere superior temporal cortex ROI. Abbreviations: Acc = Accuracy; Sens, Sensitivity; Spec, Specificity; AUC, area under the curve; ADOS, Autism Diagnostic Observation Schedule.

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