References
- Agosta F, Galantucci S, and Filippi M (2016) Advanced magnetic resonance imaging of neurodegenerative diseases. Neurol. Sci. doi: 10.1007/s10072-016-2764-x.
- Alexander A L, Lee J E, Lazar M, and Field A S (2007) Diffusion tensor imaging of the brain. Neurotherapeutics 4, 316-329. https://doi.org/10.1016/j.nurt.2007.05.011
- Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38, 95-113. https://doi.org/10.1016/j.neuroimage.2007.07.007
- Christidi F, Karavasilis E, Samiotis K, Bisdas S, and Papanikolaou N (2016) Fiber tracking: a qualitative and quantitative comparison between four different software tools on the reconstruction of major white matter tracts. Eur. J. Radiol. Open. 3, 153-161. https://doi.org/10.1016/j.ejro.2016.06.002
- Good C D, Johnsrude I S, Ashburner J, Henson R N, Friston K J, and Frackowiak R S (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14, 21-36. https://doi.org/10.1006/nimg.2001.0786
- Hu M L, Zong X F, Mann J J, Zheng J J, Liao Y H, Li Z C, He Y, Chen X G, and Tang J S (2016) A review of the functional and anatomical default mode network in schizophrenia. Neurosci. Bull. doi: 10.1007/s12264-016-0090-1.
- Janssen J, Aleman-Gomez Y, Schnack H, Balaban E, Pina-Camacho L, Alfaro-Almagro F, Castro-Fornieles J, Otero S, Baeza I, Moreno D, Bargallo N, Parellada M, Arango C, and Desco M (2014) Cortical morphology of adolescents with bipolar disorder and with schizophrenia. Schizophr. Res. 158, 91-99. https://doi.org/10.1016/j.schres.2014.06.040
- Mak E, Gabel S, Mirette H, Su L, Williams G B, Waldman A, Wells K, Ritchie K, Ritchie C, and O'Brien J (2016) Structural neuroimaging in preclinical dementia: from microstructural deficits and grey matter atrophy to macroscale connectomic changes. Ageing Res. Rev. S1568-1637, 30062-30069.
- McKeown M J, Makeig S, Brown G G, Jung T P, Kindermann S S, Bell A J, and Sejnowski T J (1998) Analysis of fMRI data by blind separation into independent spatial components. Hum. Brain Mapp. 6, 160-188. https://doi.org/10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1
- McKeown M J and Sejnowski T J (1998) Independent component analysis of fMRI data: examining the assumptions. Hum. Brain Mapp. 6, 368-372. https://doi.org/10.1002/(SICI)1097-0193(1998)6:5/6<368::AID-HBM7>3.0.CO;2-E
- Nanda P, Tandon N, Mathew I T, Giakoumatos C I, Abhishekh H A, Clementz B A, Pearlson G D, Sweeney J, Tamminga C A, and Keshavan M S (2014) Local gyrification index in probands with psychotic disorders and their first-degree relatives. Biol. Psychiatry 76, 447-455. https://doi.org/10.1016/j.biopsych.2013.11.018
- Nenadic I, Maitra R, Dietzek M, Langbein K, Smesny S, Sauer H, and Gaser C (2015) Prefrontal gyrification in psychotic bipolar I disorder vs. schizophrenia. J. Affect Disord. 185, 104-107. https://doi.org/10.1016/j.jad.2015.06.014
- Nixon N L, Liddle P F, Nixon E, Worwood G, Liotti M, and Palaniyappan L (2014) Biological vulnerability to depression: linked structural and functional brain network findings. Br. J. Psychiatry 204, 283-289. https://doi.org/10.1192/bjp.bp.113.129965
- Ogawa S (2012) Finding the BOLD effect in brain images. Neuroimage 62, 608-609. https://doi.org/10.1016/j.neuroimage.2012.01.091
- Smith S M, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols T E, Mackay C E, Watkins K E, Ciccarelli O, Cader M Z, Matthews P M, and Behrens T E (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31, 1487-1505. https://doi.org/10.1016/j.neuroimage.2006.02.024
- Tae W S, Yakunina N, Kim T S, Kim S S, and Nam E C (2014) Activation of auditory white matter tracts as revealed by functional magnetic resonance imaging. Neuroradiology 56, 597-605. https://doi.org/10.1007/s00234-014-1362-y
- Thompson P M, Stein J L, Medland S E, Hibar D P, Vasquez A A, Renteria M E, Toro R, Jahanshad N, Schumann G, Franke B, Wright M J, Martin N G, Agartz I, Alda M, Alhusaini S, Almasy L, Almeida J, Alpert K, Andreasen N C, Andreassen O A, Apostolova L G, Appel K, Armstrong N J, Aribisala B, Bastin M E, Bauer M, Bearden C E, Bergmann O, Binder E B, Blangero J, Bockholt H J, Boen E, Bois C, Boomsma D I, Booth T, Bowman I J, Bralten J, Brouwer R M, Brunner H G, Brohawn D G, Buckner R L, Buitelaar J, Bulayeva K, Bustillo J R, Calhoun V D, Cannon D M, Cantor R M, Carless M A, Caseras X, Cavalleri G L, Chakravarty M M, Chang K D, Ching C R, Christoforou A, Cichon S, Clark V P, Conrod P, Coppola G, Crespo-Facorro B, Curran J E, Czisch M, Deary I J, de Geus E J, den Braber A, Delvecchio G, Depondt C, de Haan L, de Zubicaray G I, Dima D, Dimitrova R, Djurovic S, Dong H, Donohoe G, Duggirala R, Dyer T D, Ehrlich S, Ekman C J, Elvsashagen T, Emsell L, Erk S, Espeseth T, Fagerness J, Fears S, Fedko I, Fernandez G, Fisher S E, Foroud T, Fox P T, Francks C, Frangou S, Frey E M, Frodl T, Frouin V, Garavan H, Giddaluru S, Glahn D C, Godlewska B, Goldstein R Z, Gollub R L, Grabe H J, Grimm O, Gruber O, Guadalupe T, Gur R E, Gur R C, Goring H H, Hagenaars S, Hajek T, Hall G B, Hall J, Hardy J, Hartman C A, Hass J, Hatton S N, Haukvik U K, Hegenscheid K, Heinz A, Hickie I B, Ho B C, Hoehn D, Hoekstra P J, Hollinshead M, Holmes A J, Homuth G, Hoogman M, Hong L E, Hosten N, Hottenga J J, Hulshoff Pol H E, Hwang K S, Jack C R Jr, Jenkinson M, Johnston C, Jonsson E G, Kahn R S, Kasperaviciute D, Kelly S, Kim S, Kochunov P, Koenders L, Kramer B, Kwok J B, Lagopoulos J, Laje G, Landen M, Landman B A, Lauriello J, Lawrie S M, Lee P H, Le Hellard S, Lemaitre H, Leonardo C D, Li C S, Liberg B, Liewald D C, Liu X, Lopez L M, Loth E, Lourdusamy A, Luciano M, Macciardi F, Machielsen M W, Macqueen G M, Malt U F, Mandl R, Manoach D S, Martinot J L, Matarin M, Mather K A, Mattheisen M, Mattingsdal M, Meyer-Lindenberg A, McDonald C, McIntosh A M, McMahon F J, McMahon K L, Meisenzahl E, Melle I, Milaneschi Y, Mohnke S, Montgomery G W, Morris D W, Moses E K, Mueller B A, Munoz Maniega S, Muhleisen T W, Muller-Myhsok B, Mwangi B, Nauck M, Nho K, Nichols T E, Nilsson L G, Nugent A C, Nyberg L, Olvera R L, Oosterlaan J, Ophoff R A, Pandolfo M, Papalampropoulou-Tsiridou M, Papmeyer M, Paus T, Pausova Z, Pearlson G D, Penninx B W, Peterson C P, Pfennig A, Phillips M, Pike G B, Poline J B, Potkin S G, Putz B, Ramasamy A, Rasmussen J, Rietschel M, Rijpkema M, Risacher S L, Roffman J L, Roiz-Santianez R, Romanczuk-Seiferth N, Rose E J, Royle N A, Rujescu D, Ryten M, Sachdev P S, Salami A, Satterthwaite T D, Savitz J, Saykin A J, Scanlon C, Schmaal L, Schnack H G, Schork A J, Schulz S C, Schur R, Seidman L, Shen L, Shoemaker J M, Simmons A, Sisodiya S M, Smith C, Smoller J W, Soares J C, Sponheim S R, Sprooten E, Starr J M, Steen V M, Strakowski S, Strike L, Sussmann J, Samann P G, Teumer A, Toga A W, Tordesillas-Gutierrez D, Trabzuni D, Trost S, Turner J, Van den Heuvel M, van der Wee N J, van Eijk K, van Erp T G, van Haren N E, van't Ent D, van Tol M J, Valdes Hernandez M C, Veltman D J, Versace A, Volzke H, Walker R, Walter H, Wang L, Wardlaw J M, Weale M E, Weiner M W, Wen W, Westlye L T, Whalley H C, Whelan C D, White T, Winkler A M, Wittfeld K, Woldehawariat G, Wolf C, Zilles D, Zwiers M P, Thalamuthu A, Schofield P R, Freimer N B, Lawrence N S, Drevets W; Alzheimer's Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group (2014) The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging Behav. 8, 153-182.
- Yendiki A, Panneck P, Srinivasan P, Stevens A, Zollei L, Augustinack J, Wang R, Salat D, Ehrlich S, Behrens T, Jbabdi S, Gollub R, and Fischl B (2011) Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy. Front Neuroinform 5, 23.