Supplemental Information Building a Science of Individual Differences from fMRI Julien Dubois* and Ralph Adolphs Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, United States * Correspondence: jcrdubois@gmail.com (J. Dubois) Contents - Simulations for Figure 5 Table S1: Reliability and individual-differences studies from fMRI-derived measures. Table S2: Individual-differences studies from fMRI-derived measures. Supplemental references Simulations for Figure 5. A large sample of 1,000,000 instances (the “population”) was drawn from two normally distributed variables, X and Y, using Matlab’s mvnrnd function with μX = μY = 0, σX=σY=1 and σXY=0.1. In this “population”, the correlation between X and Y is 0.1 -- a small effect size, representative of the effect size expected in fMRI studies of individual differences. 100,000 series of 1,000 samples were drawn randomly without replacement from the population. Pearson correlation was computed for sample sizes [10:5:100 120:20:200 250:50:500 600:100:1000] in each of the 100,000 series, yielding 100,000 trajectories of correlation values (gray lines in Figure 5(a) are 1,000 of these trajectories). A leave-one-out prediction based on a simple linear regression model was also performed at each sample size for each of the series, yielding 100,000 trajectories of prediction R-squared [R2=1-sum((Yreal-Ypred).^2)/sum((Yrealmean(Yreal)).^2)] (gray lines in Figure 5(b) are 1,000 of these trajectories). The exact same simulation was run with μX = μY = 0, σX=σY=1 and σXY=0, which represents the null hypothesis of no correlation between X and Y. All plots in Figure 5 are derived from these simulations. (back to TOC) Table S1 (related to Figure 1): Reliability and individual-differences studies from fMRIderived measures. There are many ways to analyze fMRI data, which is captured in this list of fMRI-derived measures. This table is included to elicit a sense of which measures have been studied in terms of reliability and assessed for individual differences in the literature so far, and which have not. Reliability column: studies are from a Pubmed search with terms “test-retest” AND “fMRI” since 2010-01-01 (273 results, which were then hand selected), plus studies reviewed in [1]. Individual differences column: studies are from a Pubmed search with terms “individual differences” AND “fMRI”, hand selecting the 100 most recent relevant studies. The Pubmed searches were conducted in November 2015. If a cell of the table was empty, we specifically searched for at least one relevant reference, and put a question mark if we did not find any. The purpose of this table is primarily illustrative, and it may be that we missed existing references given the fairly simple search strategy that we implemented. fMRI-derived measure Timelocked Reliability (between- and withinsubject) Individual differences AMPLITUDE of evoked activation (height) Yes [2–33] [30,34–95] EXTENT of evoked activation (voxel overlap) Yes [6,7,13,18,21,27,28,96–104] [105] PEAK LOCATION of evoked activation Yes [21] ? ONSET of evoked activation Yes [106] ? LAG of evoked activation (time-to-peak) Yes [106] ? DURATION of evoked activation (width) Yes [106] ? HABITUATION/ADAPTATION Yes [107] ? model-based regressor Yes [108] [109,110] ACCURACY of classification Yes ? ? PPI (Psychophysiological interactions) Yes [111] [66,82,112–116] DCM (dynamic causal Yes [117] ? modelling) Representational geometry Yes [118] [118,119] Inter-subject correlation Yes ? [120] ROI-to-ROI correlation No [101,111,121–139] [43,55,57,140–159] whole-brain FC No [137,160–162] [163] functional parcellation No [164–166] [166,167] ICA decomposition No [104,126,128,137,168–172] [173,174] network structure (graph edges) No [130,175] [162,176] graph-theoretical metrics No [128,131,132,137,175,177– 186] [82,187–190] dynamic connectivity No [191,192] [153,192,193] ALFF (amplitude of low frequency fluctuations, a.k.a. LFO) No [128,129,131,132,136,194– 198] [154,189,199,200] ReHo (regional homogeneity) No [128,129,131,132,136,201] [189,202,203] (back to TOC) Table S2 (related to Figure 1): Individual-differences studies from fMRI-derived measures. Studies from Table S1, individual differences column, were sorted by hand as relating fMRIderived measures to different aspects of individual differences Demographics age [91,204,205] gender [176] Neuropsychological test scores intelligence [89,188] personality [35,86,113] anxiety [53,62,74,144,156] depression [44,53,115] affect [30,41,50,85] creativity [158] other [42,46–48,51,58,70–72,75,76,79,90,94,149,153,189,206] Physiological measures [66,84,90] Behavioral task measures task performance or strategy [34,37– 39,43,45,49,52,54,56,57,59,60,63,68,73,77,80,81,83,87,88,90,91,105, 114,116,119,145–147,150–152,154,155,157,159,192,200,203,207– 212] reaction time [36,69,82] subjective ratings [38,40,55,61,67,112,118,148] Neuropsychiatric disorder disorder onset [78] future outcome [64,65,92] (back to TOC) Supplemental references 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Bennett, C.M. and Miller, M.B. (2010) How reliable are the results from functional magnetic resonance imaging? 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