Boly M, Tshibanda L, Vanhaudenhuyse A, Noirhomme Q, Schnakers C, Ledoux D, Boveroux P, Garweg C, Lambermont B, Phillips C (2009): Functional connectivity in the default network during resting state is preserved in a vegetative but not in a brain dead patient. Hum Brain Mapp 30:2393–2400.
Bonnelle V, Leech R, Kinnunen KM, Ham TE, Beckmann CF, De Boissezon X, Greenwood RJ, Sharp DJ (2011): Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. J Neurosci 31:13442–13451.
Bozoki AC, Korolev IO, Davis NC, Hoisington LA, Berger KL (2012): Disruption of limbic white matter pathways in mild cognitive impairment and Alzheimer's disease: A DTI/FDG-PET Study. Hum Brain Mapp 33:1792–1802.
Chandra PS, Salamon N, Huang J, Wu JY, Koh S, Vinters HV, Mathern GW (2006): FDG-PET/MRI coregistration and diffusion-tensor imaging distinguish epileptogenic tubers and cortex in patients with tuberous sclerosis complex: A preliminary report. Epilepsia 47:1543–1549.
De Volder AG, Bol A, Blin J, Robert A, Arno P, Grandin C, Michel C, Veraart C (1997): Brain energy metabolism in early blind subjects: Neural activity in the visual cortex. Brain Res 750:235–244.
Demertzi A, Gómez F, Crone JS, Vanhaudenhuyse A, Tshibanda L, Noirhomme Q, Thonnard M, Charland-Verville V, Kirsch M, Laureys S, et al. (2014): Multiple fMRI system-level baseline connectivity is disrupted in patients with consciousness alterations. Cortex 52:35–46. doi:10.1016/j.cortex.2013.11.005.
Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, et al. (2006): An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980. doi:10.1016/j.neuroimage.2006.01.021.
Ennis DB, Kindlmann G (2006): Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magn Reson Med 55:136–146.
Fernández-Espejo D, Bekinschtein T, Monti MM, Pickard JD, Junque C, Coleman MR, Owen AM (2011): Diffusion weighted imaging distinguishes the vegetative state from the minimally conscious state. Neuroimage 54:103–112.
Fernández-Espejo D, Soddu A, Cruse D, Palacios EM, Junque C, Vanhaudenhuyse A, Rivas E, Newcombe V, Menon DK, Pickard JD, et al. (2012): A role for the default mode network in the bases of disorders of consciousness. Ann Neurol 72:335–343.
Fridman EA, Beattie BJ, Broft A, Laureys S, Schiff ND (2014): Regional cerebral metabolic patterns demonstrate the role of anterior forebrain mesocircuit dysfunction in the severely injured brain. Proc Natl Acad Sci USA 111:6473–6478.
Gallichan D, Scholz J, Bartsch A, Behrens TE, Robson MD, Miller KL (2010): Addressing a systematic vibration artifact in diffusion-weighted MRI. Hum Brain Mapp 31:193–202.
Garyfallidis E, Brett M, Amirbekian B, Rokem A, van der Walt S, Descoteaux M, Nimmo-Smith I (2014): Dipy, a library for the analysis of diffusion MRI data. Front Neuroinform 8:8.
Giacino JT, Ashwal S, Childs N, Cranford R, Jennett B, Katz DI, Kelly JP, Rosenberg JH, Whyte J, Zafonte RD, et al. (2002): The minimally conscious state: Definition and diagnostic criteria. Neurology 58:349.
Giacino JT, Kalmar K, Whyte J (2004): The JFK Coma Recovery Scale-Revised: Measurement characteristics and diagnostic utility. Arch Phys Med Rehabil 85:2020–2029. doi:10.1016/j.apmr.2004.02.033.
Gómez F, Soddu A, Noirhomme Q, Vanhaudenhuyse A, Tshibanda L, Lepor N (2012): DTI based structural damage characterization for disorders of consciousness.In: 2012 19th Ieee International Conference on Image Processing, 2:1257–1260.
Gorgolewski K, Burns CD, Madison C, Clark D, Halchenko YO, Waskom ML, Ghosh SS (2011): Nipype: A flexible, lightweight and extensible neuroimaging data processing framework in python. Front Neuroinform 5:1–15.
Inoue K, Ito H, Uchida S, Taki Y, Kinomura S, Tsuji I, Sato S, Horie K, Kawashima R, Ito M, et al. (2008): Decrease in glucose metabolism in frontal cortex associated with deterioration of microstructure of corpus callosum measured by diffusion tensor imaging in healthy elderly. Hum Brain Mapp 29:375–384. doi:10.1002/hbm.20394.
Jones DK, Horsfield MA, Simmons A (1999): Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 42:515–525.
Jeong JW, Tiwari VN, Shin J, Chugani HT, Juhász C (2015): Assessment of brain damage and plasticity in the visual system due to early occipital lesion: Comparison of FDG-PET with diffusion MRI tractography. J Magn Reson Imaging 41:431–438.
Koay CG (2009): On the six-dimensional orthogonal tensor representation of the rotation in three dimension: A simplified approach. Mech Mater 41:951–953.
Kuczynski B, Targan E, Madison C, Weiner M, Zhang Y, Reed B, Chui HC, Jagust W (2010): White matter integrity and cortical metabolic associations in aging and dementia. Alzheimers Dement 6:1–17. doi:10.1016/j.jalz.2009.04.1228.White.
Kumar R, Husain M, Gupta RK, Hasan KM, Haris M, Agarwal AK, Pandey CM, Narayana PA (2009): Serial changes in the white matter diffusion tensor imaging metrics in moderate traumatic brain injury and correlation with neuro-cognitive function. J Neurotrauma 495:481–495.
Lant ND, Gonzalez-Lara LE, Owen AM, Fernández-Espejo D (2015): Relationship between the anterior forebrain mesocircuit and the default mode network in the structural bases of disorders of consciousness. NeuroImage Clin 10:27–35.
Laureys S, Schiff ND (2012): Coma and consciousness: Paradigms (re)framed by neuroimaging. Neuroimage 61:478–491.
Laureys S, Goldman S, Phillips C, van Bogaert P, Aerts J, Luxen A, Franck G, Maquet P (1999a): Impaired effective cortical connectivity in vegetative state: Preliminary investigation using PET. Neuroimage 9:377–382.
Laureys S, Lemaire C, Maquet P, Phillips C, Franck G (1999b): Cerebral metabolism during vegetative state and after recovery to consciousness. J Neurol Neurosurg Psychiatry 67:121.
Laureys S, Owen AM, Schiff ND (2004): Brain function in coma, vegetative state, and related disorders. Lancet 3:537–546.
Laureys S, Celesia GG, Cohadon F, Lavrijsen J, Leon-Carrrion J, Sannita WG, Sazbon L, Schmutzhard E, von Wild KR, Zeman A, et al. (2010): Unresponsive wakefulness syndrome: A new name for the vegetative state or apallic syndrome. BMC Med 8:68.
Leemans A, Jones DK (2009): The B-matrix must be rotated when correcting for subject motion in DTI data. Magn Reson Med 61:1336–1349.
Luyt CE, Galenaud D, Perlbarg V, Vanhaudenhuyse A, Stevens RD, Gupta R, Besancenot H, Krainik A, Audibert G, Combes A, et al. (2012): Diffusion tensor imaging to predict long-term outcome after cardiac arrest. Anesthesiology 117:3–1.
Müller-Gärtner HW, Links JM, Prince JL, Bryan RN, McVeigh E, Leal JP, Davatzikos C, Frost JJ (1992): Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MR-based correction for partial volume effects. J Cereb Blood Flow Metab 12:571–583.
Nakashima T, Nakayama N, Miwa K, Okumura A, Soeda A, Iwama T (2007): Focal brain glucose hypometabolism in patients with neuropsychologic deficits after diffuse axonal injury. Am J Neuroradiol 28:236–242. [pii].
Nakayama N, Okumura A, Shinoda J, Nakashima T, Iwama T (2006): Relationship between regional cerebral metabolism and consciousness disturbance in traumatic diffuse brain injury without large focal lesions: An FDG-PET study with statistical parametric mapping analysis. J Neurol Neurosurg Psychiatry 77:856–862.
Quarantelli M, Berkouk K, Prinster A, Landeau B, Svarer C, Balkay L, Alfano B, Brunetti A, Baron JC, Salvatore M (2004): Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction. J Nucl Med 45:192–201.
R core team (2014): R: A Language and Environment for Statistical Computing. Vienna, Austria: Statistical Computing. URL: https://www.R-project.org
Roine U, Salmi J, Roine T, Wendt TN, Leppämäki S, Rintahaka P (2015): Constrained spherical deconvolution-based tractography and tract-based spatial statistics show abnormal microstructural organization in Asperger syndrome. Mol Autism 6:4.
Rousset O, Rahmim A, Alavi A, Zaidi H (2007): Partial volume correction strategies in PET. PET Clin 2:235–249.
Rudolf J, Ghaemi M, Haupt WF, Szelies B, Heiss WD (1999): Cerebral glucose metabolism in acute and persistent vegetative state. J Neurosurg Anesthesiol 11:17–24.
Schiff NDN (2010): Recovery of consciousness after brain injury: A mesocircuit hypothesis. Trends Neurosci 33:1–9.
Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE, et al. (2004): Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23:208.
Soddu A, Vanhaudenhuyse A, Bahri MA, Bruno MA, Boly M, Demertzi A, Tshibanda JF, Phillips C, Stanziano M, Ovadia-Caro S, et al. (2012): Identifying the default-mode component in spatial IC analyses of patients with disorders of consciousness. Hum Brain Mapp 33:778–796. doi:10.1002/hbm.21249.
Stender J, Gosseries O, Bruno MA, Charland-Verville V, Vanhaudenhuyse A, Demertzi A, Chatelle C, Thonnard M, Thibaut A, Heine L, et al. (2014a): Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: A clinical validation study. Lancet 384:514–522.
Stender J, Kupers R, Rodell A, Thibaut A, Chatelle C, Bruno MA, Gejl M, Bernard C, Hustinx R, Laureys S, et al. (2014b): Quantitative rates of brain glucose metabolism distinguish minimally conscious from vegetative state patients. J Cereb Blood Flow Metab 35:58.
Svarer C, Madsen K, Hasselbalch SG, Pinborg LH, Haugbøl S, Frøkjær VG, Holm S, Paulson OB, Knudsen GM (2005): MR-based automatic delineation of volumes of interest in human brain PET images using probability maps. Neuroimage 24:969–979.
Thibaut A, Bruno M (2012): Metabolic activity in external and internal awareness networks in severely brain-damaged patients. J Rehabil Med 44:487–494.
Thibaut A, Bruno MA, Chatelle C, Gosseries O, Vanhaudenhuyse A, Demertzi A, Schnakers C, Thonnard M, Charland-Verville V, Bernard C, et al. (2012): Metabolic activity in external and internal awareness networks in severely brain-damaged patients. J Rehabil Med 44:481–516.
Tommasino C, Grana C, Lucignani G, Torri G, Fazio F (1995): Regional cerebral metabolism of glucose in comatose and vegetative state patients. J Neurosurg Anesthesiol 7:109–116.
Tournier JD, Calamante F, Connelly A (2012): MRtrix: Diffusion tractography in crossing fiber regions. Int J Imaging Syst Technol 22:53–66.
Tournier JD, Calamante F, Connelly A (2013): Determination of the appropriate b value and number of gradient directions for high-angular-resolution diffusion-weighted imaging. NMR Biomed 26:1775–1786.
Van Den Heuvel MP, Mandl RCW, Kahn RS, Hulshoff Pol HE (2009): Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp 30:3127–3141.
Vanhaudenhuyse A, Demertzi A, Schabus M, Noirhomme Q, Bredart S, Boly M, Phillips C, Soddu A, Luxen A, Moonen G (2010a): Two distinct neuronal networks mediate the awareness of environment and of self. J Cogn Neurosci 23:570–578.
Vanhaudenhuyse A, Noirhomme Q, Tshibanda LJF, Bruno MA, Boveroux P, Schnakers C, Soddu A, Perlbarg V, Ledoux D, Brichant JF (2010b): Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 133:161–171.
Warner MA, Youn TS, Davis T, Chandra A, Marquez de la Plata C, Moore C, Harper C, Madden CJ, Spence J, McColl R, et al. (2010): Regionally selective atrophy after traumatic axonal injury. Arch Neurol 67:1336–1344.
Yakushev I, Schreckenberger M, Müller MJ, Schermuly I, Cumming P, Stoeter P, Gerhard A, Fellgiebel A (2011): Functional anatomy of interhemispheric cortical connections in the human brain. Eur. J Nucl Med Mol Imaging 38:2219–2227.
Yakushev I, Chételat G, Fischer FU, Landeau B, Bastin C, Scheurich A, Perrotin A, Bahri MA, Drzezga A, Eustache F, et al. (2013): Metabolic and structural connectivity within the default mode network relates to working memory performance in young healthy adults. Neuroimage 79:184–190.