1Masi, A, DeMayo, MM, Glozier, N, Guastella, AJ. An overview of autism spectrum disorder, heterogeneity and treatment options. Neurosci Bull 2017; 33(2): 183–93.
2Anderson, ML. Neural reuse: a fundamental organizational principle of the brain. Behav Brain Sci 2010; 33(04): 245–66.
3Dehaene, S, Cohen, L. Cultural recycling of cortical maps. Neuron 2007; 56(2): 384–98.
4Anderson, ML, Kinnison, J, Pessoa, L. Describing functional diversity of brain regions and brain networks. NeuroImage 2013; 73: 50–8.
5Finn, ES, Shen, X, Scheinost, D, Rosenberg, MD, Huang, J, Chun, MM, et al. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat Neurosci 2015; 18(11): 1664–71.
6Laird, AR, Lancaster, JL, Fox, PT. BrainMap: the social evolution of a human brain mapping database. Neuroinformatics 2005; 3(1): 65–78.
7Zuo, X-N, Ehmke, R, Mennes, M, Imperati, D, Castellanos, FX, Sporns, O, et al. Network centrality in the human functional connectome. Cereb Cortex 2012; 22(8): 1862–75.
8Holiga, Š, Hipp, JF, Chatham, CH, Garces, P, Spooren, W, D'Ardhuy, XL, et al. Patients with autism spectrum disorders display reproducible functional connectivity alterations. Sci Trans Med 2019; 11(481): eaat9223.
9Di Martino, A, Yan, C-G, Li, Q, Denio, E, Castellanos, FX, Alaerts, K, et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry 2014; 19(6): 659–67.
10Jenkinson, M, Beckmann, CF, Behrens, TEJ, Woolrich, MW, Smith, SM. FSL. NeuroImage 2012; 62(2): 782–90.
11Uddin, LQ, Kinnison, J, Pessoa, L, Anderson, ML. Beyond the tripartite cognition–emotion–interoception model of the human insular cortex. J Cogn Neurosci 2014; 26(1): 16–27.
12Eickhoff, SB, Laird, AR, Grefkes, C, Wang, LE, Zilles, K, Fox, PT. Coordinate-based ALE meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty. Hum Brain Mapp 2009; 30(9): 2907–26.
13Eickhoff, SB, Bzdok, D, Laird, AR, Kurth, F, Fox, PT. Activation likelihood estimation meta-analysis revisited. Neuroimage 2012; 59(3): 2349–61.
14Turkeltaub, PE, Eickhoff, SB, Laird, AR, Fox, M, Wiener, M, Fox, P. Minimizing within-experiment and within-group effects in activation likelihood estimation meta-analyses. Hum Brain Mapp 2012; 33(1): 1–13.
15Laird, AR, Fox, PM, Price, CJ, Glahn, DC, Uecker, AM, Lancaster, JL, et al. ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts. Hum Brain Mapp 2005; 25(1): 155–64.
16Eickhoff, SB, Nichols, TE, Laird, AR, Hoffstaedter, F, Amunts, K, Fox, PT, et al. Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation. NeuroImage 2016; 137: 70–85.
17Jelinek, F, Mercer, R. Interpolated estimation of Markov source parameters from sparse data. In Proceedings, Workshop on Pattern Recognition in Practice: 381–402. North Holland, 1980.
18Müller, VI, Cieslik, EC, Laird, AR, Fox, PT, Eickhoff, SB. Dysregulated left inferior parietal activity in schizophrenia and depression: functional connectivity and characterization. Front Hum Neurosci 2013; 7: 268.
19Besseling, R, Lamerichs, R, Michels, B, Heunis, S, de Louw, A, Tijhuis, A, et al. Functional network abnormalities consistent with behavioral profile in Autism Spectrum Disorder. Psychiatry Res Neuroimaging 2018; 275: 43–8.
20Hull, JV, Jacokes, ZJ, Torgerson, CM, Irimia, A, Van Horn, JD. Resting-state functional connectivity in autism spectrum disorders: a review. Front Psychiatry 2017; 7: 205.
21Cerliani, L, Mennes, M, Thomas, RM, Di Martino, A, Thioux, M, Keysers, C. Increased functional connectivity between subcortical and cortical resting-state networks in autism spectrum disorder. JAMA Psychiatry 2015; 72(8): 767.
22von dem Hagen, EAH, Stoyanova, RS, Baron-Cohen, S, Calder, AJ. Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions. Soc Cogn Affect Neurosci 2013; 8(6): 694–701.
23Anderson, ML. After Phrenology: Neural Reuse and the Interactive Brain: 385. The MIT Press, 2014.
24Cardno, AG, Owen, MJ. Genetic relationships between schizophrenia, bipolar disorder, and schizoaffective disorder. Schizophr Bull 2014; 40(3): 504–15.
25Gao, R, Penzes, P. Common mechanisms of excitatory and inhibitory imbalance in schizophrenia and autism spectrum disorders. Curr Mol Med 2015; 15(2): 146–67.
26Moreno-De-Luca, A, Myers, SM, Challman, TD, Moreno-De-Luca, D, Evans, DW, Ledbetter, DH. Developmental brain dysfunction: revival and expansion of old concepts based on new genetic evidence. Lancet Neurol 2013; 12(4): 406–14.
27Chen, H, Uddin, LQ, Duan, X, Zheng, J, Long, Z, Zhang, Y, et al. Shared atypical default mode and salience network functional connectivity between autism and schizophrenia: shared atypical FC in ASD and schizophrenia. Autism Res 2017; 10(11): 1776–86.
28Di Martino, A, Zuo, X-N, Kelly, C, Grzadzinski, R, Mennes, M, Schvarcz, A, et al. Shared and distinct intrinsic functional network centrality in autism and attention-deficit/hyperactivity disorder. Biol Psychiatry 2013; 74(8): 623–32.
29Patti, MA, Troiani, V. Orbitofrontal sulcogyral morphology is a transdiagnostic indicator of brain dysfunction. NeuroImage 2018; 17: 910–7.
30Sugranyes, G, Kyriakopoulos, M, Corrigall, R, Taylor, E, Frangou, S. Autism spectrum disorders and schizophrenia: meta-analysis of the neural correlates of social cognition. PLoS ONE 2011; 6(10): e25322.
31Cheng, W, Rolls, ET, Zhang, J, Sheng, W, Ma, L, Wan, L, et al. Functional connectivity decreases in autism in emotion, self, and face circuits identified by knowledge-based enrichment analysis. NeuroImage 2017; 148: 169–78.
32Venkataraman, A, Duncan, JS, Yang, DY-J, Pelphrey, KA. An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism. NeuroImage 2015; 8: 356–66.
33Anderson, ML. Neural reuse in the organization and development of the brain. Dev Med Child Neurol 2016; 58: 3–6.