Literature DB >> 28819796

Simultaneous EEG-PET-fMRI measurements in disorders of consciousness: an exploratory study on diagnosis and prognosis.

Daniel Golkowski1, Katharina Merz2, Caroline Mlynarcik3, Tobias Kiel2, Barbara Schorr4, Alex Lopez-Rolon5, Mathias Lukas6, Denis Jordan2, Andreas Bender7,5, Rüdiger Ilg3,8.   

Abstract

Previous studies could demonstrate that functional magnetic resonance imaging (fMRI), fludeoxyglucose positron emission tomography (FDG-PET), and electroencephalography (EEG) measures contain information about patients suffering from disorders of consciousness (DOC) and thus improve the clinical diagnosis. Additionally, the technical modalities were able to predict the outcome of patients. However, most studies lack proven reproducibility in a clinical setting. We here applied a standardized combined EEG/fMRI/FDG-PET measurement to a cohort of 20 patients suffering from DOC and focused on parameters that have been demonstrated to contain information about diagnosis and prognosis of these patients. We evaluated EEG band power, fMRI connectivity in networks associated with consciousness and sensory networks, as well as absolute glucose uptake in the brain as potential markers of preserved consciousness or favorable outcome. Acquired data were analyzed by a principal component analysis to identify the most important markers in a hypothesis-free manner. These were then analyzed with statistical group comparisons. Absolute FDG-PET could prove that glucose metabolism in the occipital lobe is significantly higher in minimally conscious than in vegetative state patients. Delta band power showed to be prognostic marker for a favorable outcome. We conclude that absolute FDG-PET is a suitable tool to evaluate the level consciousness in DOC patients. Additionally, we propose delta band power as marker of a favorable outcome in DOC patients. We suggest that these findings promote a standardized technical evaluation of DOC patients to improve diagnosis and prognosis.

Entities:  

Keywords:  BOLD; Diagnosis; Disorders of consciousness; EEG; FDG-PET; Prognosis; fMRI

Mesh:

Substances:

Year:  2017        PMID: 28819796     DOI: 10.1007/s00415-017-8591-z

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  51 in total

1.  Predictors of recovery of responsiveness in prolonged anoxic vegetative state.

Authors:  Anna Estraneo; Pasquale Moretta; Vincenzo Loreto; Bernardo Lanzillo; Autilia Cozzolino; Annamaria Saltalamacchia; Francesco Lullo; Lucio Santoro; Luigi Trojano
Journal:  Neurology       Date:  2013-01-09       Impact factor: 9.910

2.  Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study.

Authors:  Johan Stender; Olivia Gosseries; Marie-Aurélie Bruno; Vanessa Charland-Verville; Audrey Vanhaudenhuyse; Athena Demertzi; Camille Chatelle; Marie Thonnard; Aurore Thibaut; Lizette Heine; Andrea Soddu; Mélanie Boly; Caroline Schnakers; Albert Gjedde; Steven Laureys
Journal:  Lancet       Date:  2014-04-15       Impact factor: 79.321

3.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations.

Authors:  C S Patlak; R G Blasberg
Journal:  J Cereb Blood Flow Metab       Date:  1985-12       Impact factor: 6.200

4.  EEG predictors of outcome in patients with disorders of consciousness admitted for intensive rehabilitation.

Authors:  Sergio Bagnato; Cristina Boccagni; Antonino Sant'Angelo; Caterina Prestandrea; Roberta Mazzilli; Giuseppe Galardi
Journal:  Clin Neurophysiol       Date:  2014-09-01       Impact factor: 3.708

5.  Rehabilitation outcome of anoxic-ischaemic encephalopathy survivors with prolonged disorders of consciousness.

Authors:  Kaitlen Howell; Eva Grill; Anke-Maria Klein; Andreas Straube; Andreas Bender
Journal:  Resuscitation       Date:  2013-06-06       Impact factor: 5.262

6.  Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients.

Authors:  Athena Demertzi; Georgios Antonopoulos; Lizette Heine; Henning U Voss; Julia Sophia Crone; Carlo de Los Angeles; Mohamed Ali Bahri; Carol Di Perri; Audrey Vanhaudenhuyse; Vanessa Charland-Verville; Martin Kronbichler; Eugen Trinka; Christophe Phillips; Francisco Gomez; Luaba Tshibanda; Andrea Soddu; Nicholas D Schiff; Susan Whitfield-Gabrieli; Steven Laureys
Journal:  Brain       Date:  2015-06-27       Impact factor: 13.501

7.  Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state.

Authors:  Olivia Gosseries; Caroline Schnakers; Didier Ledoux; Audrey Vanhaudenhuyse; Marie-Aurélie Bruno; Athéna Demertzi; Quentin Noirhomme; Rémy Lehembre; Pierre Damas; Serge Goldman; Erika Peeters; Gustave Moonen; Steven Laureys
Journal:  Funct Neurol       Date:  2011 Jan-Mar

8.  N400 predicts recovery from disorders of consciousness.

Authors:  Inga Steppacher; Simon Eickhoff; Todor Jordanov; Michael Kaps; Wolfgang Witzke; Johanna Kissler
Journal:  Ann Neurol       Date:  2013-02-26       Impact factor: 10.422

9.  Cerebral metabolism during propofol anesthesia in humans studied with positron emission tomography.

Authors:  M T Alkire; R J Haier; S J Barker; N K Shah; J C Wu; Y J Kao
Journal:  Anesthesiology       Date:  1995-02       Impact factor: 7.892

10.  Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients.

Authors:  Audrey Vanhaudenhuyse; Quentin Noirhomme; Luaba J-F Tshibanda; Marie-Aurelie Bruno; Pierre Boveroux; Caroline Schnakers; Andrea Soddu; Vincent Perlbarg; Didier Ledoux; Jean-François Brichant; Gustave Moonen; Pierre Maquet; Michael D Greicius; Steven Laureys; Melanie Boly
Journal:  Brain       Date:  2009-12-23       Impact factor: 13.501

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  5 in total

Review 1.  From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.

Authors:  Zhaolin Chen; Sharna D Jamadar; Shenpeng Li; Francesco Sforazzini; Jakub Baran; Nicholas Ferris; Nadim Jon Shah; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

2.  Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics.

Authors:  Ming Song; Yi Yang; Jianghong He; Zhengyi Yang; Shan Yu; Qiuyou Xie; Xiaoyu Xia; Yuanyuan Dang; Qiang Zhang; Xinhuai Wu; Yue Cui; Bing Hou; Ronghao Yu; Ruxiang Xu; Tianzi Jiang
Journal:  Elife       Date:  2018-08-14       Impact factor: 8.140

Review 3.  Multi-scale neural decoding and analysis.

Authors:  Hung-Yun Lu; Elizabeth S Lorenc; Hanlin Zhu; Justin Kilmarx; James Sulzer; Chong Xie; Philippe N Tobler; Andrew J Watrous; Amy L Orsborn; Jarrod Lewis-Peacock; Samantha R Santacruz
Journal:  J Neural Eng       Date:  2021-08-16       Impact factor: 5.043

4.  Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.

Authors:  Ravichandran Rajkumar; Ezequiel Farrher; Jörg Mauler; Praveen Sripad; Cláudia Régio Brambilla; Elena Rota Kops; Jürgen Scheins; Jürgen Dammers; Christoph Lerche; Karl-Josef Langen; Hans Herzog; Bharat Biswal; N Jon Shah; Irene Neuner
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

Review 5.  Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?

Authors:  Tracy Warbrick
Journal:  Sensors (Basel)       Date:  2022-03-15       Impact factor: 3.576

  5 in total

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