Kahn RS, Sommer IE, Murray RM, Meyer-Lindenberg A, Weinberger DR, Cannon TD, et al. Schizophrenia. Nat Rev Dis Prim. 2015;1:15067.
Google Scholar
Birnbaum R, Weinberger DR. Genetic insights into the neurodevelopmental origins of schizophrenia. Nat Rev Neurosci. 2017;18:727–40.
Google Scholar
Pantelis C, Yücel M, Wood SJ, Velakoulis D, Sun D, Berger G, et al. Structural brain imaging evidence for multiple pathological processes at different stages of brain development in schizophrenia. Schizophrenia Bull. 2005;31:672–96.
Google Scholar
Kochunov P, Hong LE. Neurodevelopmental and neurodegenerative models of schizophrenia: white matter at the center stage. Schizophr Bull. 2014;40:721–8.
Google Scholar
Oliver LD, Moxon-Emre I, Lai MC, Grennan L, Voineskos AN, Ameis SH. Social Cognitive Performance in Schizophrenia Spectrum Disorders Compared With Autism Spectrum Disorder: A Systematic Review, Meta-analysis, and Meta-regression. JAMA Psychiatry. 2021;78:281–92.
Arican I, Bass N, Neelam K, Wolfe K, McQuillin A, Giaroli G. Prevalence of attention deficit hyperactivity disorder symptoms in patients with schizophrenia. Acta Psychiatr Scand. 2019;139:89–96.
Google Scholar
Keshavan MS, Diwadkar VA, Montrose DM, Rajarethinam R, Sweeney JA. Premorbid indicators and risk for schizophrenia: a selective review and update. Schizophrenia Res. 2005;79:45–57.
Google Scholar
Faraone SV, Asherson P, Banaschewski T, Biederman J, Buitelaar JK, Ramos-Quiroga JA, et al. Attention-deficit/hyperactivity disorder. Nat Rev Dis Prim. 2015;1:15020.
Google Scholar
Lord C, Brugha TS, Charman T, Cusack J, Dumas G, Frazier T, et al. Autism spectrum disorder. Nat Rev Dis Prim. 2020;6:5.
Google Scholar
Brainstorm C, Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, et al. Analysis of shared heritability in common disorders of the brain. Science. 2018;360:6395.
Gudmundsson OO, Walters GB, Ingason A, Johansson S, Zayats T, Athanasiu L, et al. Attention-deficit hyperactivity disorder shares copy number variant risk with schizophrenia and autism spectrum disorder. Transl Psychiatry. 2019;9:258.
Google Scholar
Spronk M, Keane BP, Ito T, Kulkarni K, Ji JL, Anticevic A et al. A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction. Cereb Cortex. 2021;31:547–61.
Waldman ID, Poore HE, Luningham JM, Yang J. Testing structural models of psychopathology at the genomic level. World Psychiatry. 2020;19:350–9.
Google Scholar
Opel N, Goltermann J, Hermesdorf M, Berger K, Baune BT, Dannlowski U. Cross-Disorder Analysis of Brain Structural Abnormalities in Six Major Psychiatric Disorders: A Secondary Analysis of Mega- and Meta-analytical Findings From the ENIGMA Consortium. Biol Psychiatry. 2020;88:678–86.
Google Scholar
Marquand AF, Kia SM, Zabihi M, Wolfers T, Buitelaar JK, Beckmann CF. Conceptualizing mental disorders as deviations from normative functioning. Mol psychiatry. 2019;24:1415–24.
Google Scholar
Lv J, Di Biase M, Cash RFH, Cocchi L, Cropley VL, Klauser P et al. Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort. Mol Psychiatry. 2021;26:3512–23.
Tung YH, Lin HY, Chen CL, Shang CY, Yang LY, Hsu YC et al. Whole-brain white matter tracts deviation and idiosyncrasy from normative development in autism, ADHD and their unaffected siblings link with dimensions of psychopathology and cognition. Am J Psychiatry. 2021;178:730–43.
Honey CJ, Kotter R, Breakspear M, Sporns O. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci USA. 2007;104:10240–5.
Google Scholar
Alexander-Bloch A, Giedd JN, Bullmore E. Imaging structural co-variance between human brain regions. Nat Rev Neurosci. 2013;14:322–36.
Google Scholar
Kochunov P, Hong LE, Dennis EL, Morey RA, Tate DF, Wilde EA et al. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Hum Brain Mapp. 2022;43:194–206.
Salthouse TA. Aging and measures of processing speed. Biol Psychol. 2000;54:35–54.
Google Scholar
Bartzokis G, Lu PH, Tingus K, Mendez MF, Richard A, Peters DG, et al. Lifespan trajectory of myelin integrity and maximum motor speed. Neurobiol Aging. 2010;31:1554–62.
Google Scholar
Kochunov P, Coyle T, Lancaster J, Robin DA, Hardies J, Kochunov V, et al. Processing speed is correlated with cerebral health markers in the frontal lobes as quantified by neuroimaging. Neuroimage. 2010;49:1190–9.
Google Scholar
Penke L, Muñoz Maniega S, Murray C, Gow AJ, Hernández MC, Clayden JD, et al. A general factor of brain white matter integrity predicts information processing speed in healthy older people. J Neurosci. 2010;30:7569–74.
Google Scholar
Wright SN, Hong LE, Winkler AM, Chiappelli J, Nugent K, Muellerklein F, et al. Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia. Hum Brain Mapp. 2015;36:3793–804.
Google Scholar
Pérez-Iglesias R, Tordesillas-Gutiérrez D, McGuire PK, Barker GJ, Roiz-Santiañez R, Mata I, et al. White matter integrity and cognitive impairment in first-episode psychosis. Am J Psychiatry. 2010;167:451–8.
Google Scholar
Glahn DC, Kent JW Jr., Sprooten E, Diego VP, Winkler AM, Curran JE, et al. Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging. Proc Natl Acad Sci USA. 2013;110:19006–11.
Google Scholar
Karbasforoushan H, Duffy B, Blackford JU, Woodward ND. Processing speed impairment in schizophrenia is mediated by white matter integrity. Psychol Med. 2015;45:109–20.
Google Scholar
Turken A, Whitfield-Gabrieli S, Bammer R, Baldo JV, Dronkers NF, Gabrieli JD. Cognitive processing speed and the structure of white matter pathways: convergent evidence from normal variation and lesion studies. Neuroimage. 2008;42:1032–44.
Google Scholar
Alloza C, Cox SR, Duff B, Semple SI, Bastin ME, Whalley HC, et al. Information processing speed mediates the relationship between white matter and general intelligence in schizophrenia. Psychiatry Res Neuroimaging. 2016;254:26–33.
Google Scholar
Hong SB, Zalesky A, Fornito A, Park S, Yang YH, Park MH, et al. Connectomic disturbances in attention-deficit/hyperactivity disorder: a whole-brain tractography analysis. Biol Psychiatry. 2014;76:656–63.
Google Scholar
Fuelscher I, Hyde C, Anderson V, Silk TJ. White matter tract signatures of fiber density and morphology in ADHD. Cortex. 2021;138:329–40.
Google Scholar
Barnea-Goraly N, Lotspeich LJ, Reiss AL. Similar white matter aberrations in children with autism and their unaffected siblings: a diffusion tensor imaging study using tract-based spatial statistics. Arch Gen Psychiatry. 2010;67:1052–60.
Google Scholar
Jou RJ, Reed HE, Kaiser MD, Voos AC, Volkmar FR, Pelphrey KA. White Matter Abnormalities in Autism and Unaffected Siblings. J Neuropsychiatry Clin Neurosci. 2016;28:49–55.
Google Scholar
Di X, Azeez A, Li X, Haque E, Biswal BB. Disrupted focal white matter integrity in autism spectrum disorder: A voxel-based meta-analysis of diffusion tensor imaging studies. Prog Neuro-Psychopharmacol Biol Psychiatry. 2018;82:242–8.
Google Scholar
Insel T, Cuthbert B, Garvey M, Heinssen R, Pine DS, Quinn K, et al. Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders. Am J Psychiatry. 2010;167:748–51.
Google Scholar
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. 4th ed edn. Washington DC:American Psychiatric Association;1994.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. 5th ed edn. Arlinton, VA:American Psychiatric Association;2013.
Gau SSF, Chou MC, Lee JC, Wong CC, Chou WJ, Chen MF, et al. Behavioral problems and parenting style among Taiwanese children with autism and their siblings. Psychiatry Clin Neurosci. 2010;64:70–8.
Google Scholar
Gau SS, Chong MY, Chen TH, Cheng AT. A 3-year panel study of mental disorders among adolescents in Taiwan. Am J Psychiatry. 2005;162:1344–50.
Google Scholar
Chen YL, Shen LJ, Gau SS. The Mandarin version of the Kiddie-Schedule for Affective Disorders and Schizophrenia-Epidemiological version for DSM-5 – A psychometric study. J Formos Med Assoc. 2017;116:671–8. Epub 2017 Jul 1011
Google Scholar
Lin YJ, Yang LK, Gau SS. Psychiatric comorbidities of adults with early- and late-onset attention-deficit/hyperactivity disorder. Aust N. Z J Psychiatry. 2016;50:548–56. Epub 0004867415602015 Oct 0004867415609412.
Google Scholar
Lin HY, Cocchi L, Zalesky A, Lv J, Perry A, Tseng WI, et al. Brain-behavior patterns define a dimensional biotype in medication-naive adults with attention-deficit hyperactivity disorder. Psychol Med. 2018;48:2399–408. Epub 0033291718002018 Feb 0033291718000027.
Google Scholar
Newton R, Rouleau A, Nylander AG, Loze JY, Resemann HK, Steeves S, et al. Diverse definitions of the early course of schizophrenia-a targeted literature review. NPJ Schizophr. 2018;4:21.
Google Scholar
Wechsler D. Wechsler Adult Intelligence Scale – Third Edition (WAIS-III). San Antonio, TX:Psychological Corporation;1997.
Wechsler D. Wechsler Intelligence Scale for Children – Third Edition (WISC-III). San Antonio, TX:Psychological Corporation;1991.
Lin YJ, Gau SS. Developmental changes of neuropsychological functioning in individuals with and without childhood ADHD from early adolescence to young adulthood: a 7-year follow-up study. Psychol Med. 2019;49:940–51. Epub 0033291718002018 Jun 0033291718001526.
Google Scholar
Luciana M. Practitioner Review: Computerized assessment of neuropsychological function in children: clinical and research applications of the Cambridge Neuropsychological Testing Automated Battery (CANTAB). J Child Psychol Psychiatry. 2003;44:649–63.
Google Scholar
Seng GJ, Tseng WL, Chiu YN, Tsai WC, Wu YY, Gau SS. Executive functions in youths with autism spectrum disorder and their unaffected siblings. Psychol Med. 2020;30:1–10.
Reese TG, Heid O, Weisskoff RM, Wedeen VJ. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo. Magn Reson Med. 2002;49:177–82.
Google Scholar
Hsu Y-C, Hsu C-H, Tseng, YI W-. A large deformation diffeomorphic metric mapping solution for diffusion spectrum imaging datasets. NeuroImage. 2012;63:818–34.
Google Scholar
Yeh F-C, Verstynen TD, Wang Y, Fernández-Miranda JC, Tseng W-YI. Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy. PLOS ONE. 2013;8:e80713.
Google Scholar
Avram AV, Sarlls JE, Barnett AS, Ozarslan E, Thomas C, Irfanoglu MO, et al. Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure. Neuroimage. 2016;127:422–34.
Google Scholar
Snedecor GW, Cochran WG. Statistical Methods. 8th edn. Ames, Iowa:Iowa State University Press;1989.
Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivar Behav Res. 2011;46:399–424.
Google Scholar
Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic. J R Stat Soc: Ser B (Stat Methodol). 2001;63:411–23.
Google Scholar
Smith SM, Nichols TE, Vidaurre D, Winkler AM, Behrens TEJ, Glasser MF, et al. A positive-negative mode of population covariation links brain connectivity, demographics and behavior. Nat Neurosci. 2015;18:1565–7.
Google Scholar
Alexander AL, Hurley SA, Samsonov AA, Adluru N, Hosseinbor AP, Mossahebi P, et al. Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains. Brain Connectivity. 2011;1:423–46.
Google Scholar
Rommelse N, Buitelaar JK, Hartman CA. Structural brain imaging correlates of ASD and ADHD across the lifespan: a hypothesis-generating review on developmental ASD-ADHD subtypes. J Neural Transm (Vienna). 2017;124:259–71.
Google Scholar
Thapar A, Riglin L. The importance of a developmental perspective in Psychiatry: what do recent genetic-epidemiological findings show? Mol Psychiatry. 2020;25:1631–9.
Google Scholar
Gogtay N, Vyas NS, Testa R, Wood SJ, Pantelis C. Age of onset of schizophrenia: perspectives from structural neuroimaging studies. Schizophr Bull. 2011;37:504–13.
Google Scholar
McGorry PD, Nelson B, Goldstone S, Yung AR. Clinical staging: a heuristic and practical strategy for new research and better health and social outcomes for psychotic and related mood disorders. Can J Psychiatry. 2010;55:486–97.
Google Scholar
Di Biase MA, Cropley VL, Baune BT, Olver J, Amminger GP, Phassouliotis C, et al. White matter connectivity disruptions in early and chronic schizophrenia. Psychol Med. 2017;47:2797–810.
Google Scholar
Owen JP, Marco EJ, Desai S, Fourie E, Harris J, Hill SS, et al. Abnormal white matter microstructure in children with sensory processing disorders. Neuroimage Clin. 2013;2:844–53.
Google Scholar
Kallankari H, Saunavaara V, Parkkola R, Haataja L, Hallman M, Kaukola T. Diffusion tensor imaging in frontostriatal tracts is associated with executive functioning in very preterm children at 9 years of age. Pediatr Radiol. 2021;51:112–8
Shen KK, Welton T, Lyon M, McCorkindale AN, Sutherland GT, Burnham S, et al. Structural core of the executive control network: A high angular resolution diffusion MRI study. Hum Brain Mapp. 2020;41:1226–36.
Google Scholar
Humpston CS, Broome MR. Thinking, believing, and hallucinating self in schizophrenia. Lancet Psychiatry. 2020;7:638–46.
Google Scholar
Heinz A, Murray GK, Schlagenhauf F, Sterzer P, Grace AA, Waltz JA. Towards a Unifying Cognitive, Neurophysiological, and Computational Neuroscience Account of Schizophrenia. Schizophr Bull. 2019;45:1092–1100.
Google Scholar
Chini M, Hanganu-Opatz IL. Prefrontal Cortex Development in Health and Disease: Lessons from Rodents and Humans. Trends Neurosci. 2021;44:227–40.
Griffa A, Baumann PS, Klauser P, Mullier E, Cleusix M, Jenni R, et al. Brain connectivity alterations in early psychosis: from clinical to neuroimaging staging. Transl Psychiatry. 2019;9:62.
Google Scholar
Morris-Rosendahl DJ, Crocq MA. Neurodevelopmental disorders-the history and future of a diagnostic concept. Dialogues Clin Neurosci. 2020;22:65–72.
Google Scholar
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