Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or consc...
Uložené v:
| Vydané v: | Brain (London, England : 1878) Ročník 137; číslo Pt 8; s. 2258 |
|---|---|
| Hlavní autori: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
England
01.08.2014
|
| Predmet: | |
| ISSN: | 1460-2156, 1460-2156 |
| On-line prístup: | Zistit podrobnosti o prístupe |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or conscious state. Capitalizing on a review of previous experiments and current theories, we identify a series of measures that can be organized into four dimensions: (i) event-related potentials versus ongoing electroencephalography activity; (ii) local dynamics versus inter-electrode information exchange; (iii) spectral patterns versus information complexity; and (iv) average versus fluctuations over the recording session. We analysed a large set of 181 high-density electroencephalography recordings acquired in a 30 minutes protocol. We show that low-frequency power, electroencephalography complexity, and information exchange constitute the most reliable signatures of the conscious state. When combined, these measures synergize to allow an automatic classification of patients' state of consciousness. |
|---|---|
| AbstractList | In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or conscious state. Capitalizing on a review of previous experiments and current theories, we identify a series of measures that can be organized into four dimensions: (i) event-related potentials versus ongoing electroencephalography activity; (ii) local dynamics versus inter-electrode information exchange; (iii) spectral patterns versus information complexity; and (iv) average versus fluctuations over the recording session. We analysed a large set of 181 high-density electroencephalography recordings acquired in a 30 minutes protocol. We show that low-frequency power, electroencephalography complexity, and information exchange constitute the most reliable signatures of the conscious state. When combined, these measures synergize to allow an automatic classification of patients' state of consciousness.In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or conscious state. Capitalizing on a review of previous experiments and current theories, we identify a series of measures that can be organized into four dimensions: (i) event-related potentials versus ongoing electroencephalography activity; (ii) local dynamics versus inter-electrode information exchange; (iii) spectral patterns versus information complexity; and (iv) average versus fluctuations over the recording session. We analysed a large set of 181 high-density electroencephalography recordings acquired in a 30 minutes protocol. We show that low-frequency power, electroencephalography complexity, and information exchange constitute the most reliable signatures of the conscious state. When combined, these measures synergize to allow an automatic classification of patients' state of consciousness. In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or conscious state. Capitalizing on a review of previous experiments and current theories, we identify a series of measures that can be organized into four dimensions: (i) event-related potentials versus ongoing electroencephalography activity; (ii) local dynamics versus inter-electrode information exchange; (iii) spectral patterns versus information complexity; and (iv) average versus fluctuations over the recording session. We analysed a large set of 181 high-density electroencephalography recordings acquired in a 30 minutes protocol. We show that low-frequency power, electroencephalography complexity, and information exchange constitute the most reliable signatures of the conscious state. When combined, these measures synergize to allow an automatic classification of patients' state of consciousness. |
| Author | Sitt, Jacobo Diego Dehaene, Stanislas Gramfort, Alexandre Sigman, Mariano Faugeras, Frederic Naccache, Lionel Rohaut, Benjamin King, Jean-Remi El Karoui, Imen Cohen, Laurent |
| Author_xml | – sequence: 1 givenname: Jacobo Diego surname: Sitt fullname: Sitt, Jacobo Diego email: jdsitt@gmail.com, jeanremi.king@gmail.com organization: 1 Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale, U992, F-91191 Gif/Yvette, France2 NeuroSpin Centre, Institute of BioImaging Commissariat à l'Energie Atomique, F-91191 Gif/Yvette, France3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France jdsitt@gmail.com jeanremi.king@gmail.com – sequence: 2 givenname: Jean-Remi surname: King fullname: King, Jean-Remi email: jdsitt@gmail.com, jeanremi.king@gmail.com organization: 1 Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale, U992, F-91191 Gif/Yvette, France2 NeuroSpin Centre, Institute of BioImaging Commissariat à l'Energie Atomique, F-91191 Gif/Yvette, France3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France jdsitt@gmail.com jeanremi.king@gmail.com – sequence: 3 givenname: Imen surname: El Karoui fullname: El Karoui, Imen organization: 3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France – sequence: 4 givenname: Benjamin surname: Rohaut fullname: Rohaut, Benjamin organization: 3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France4 AP-HP, Groupe hospitalier Pitié-Salpêtrière, Department of Neurology, Intensive Care Unit, Paris, France – sequence: 5 givenname: Frederic surname: Faugeras fullname: Faugeras, Frederic organization: 3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France5 AP-HP, Groupe hospitalier Pitié-Salpêtrière, Department of Neurophysiology, Paris, France – sequence: 6 givenname: Alexandre surname: Gramfort fullname: Gramfort, Alexandre organization: 2 NeuroSpin Centre, Institute of BioImaging Commissariat à l'Energie Atomique, F-91191 Gif/Yvette, France6 Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France – sequence: 7 givenname: Laurent surname: Cohen fullname: Cohen, Laurent organization: 3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France4 AP-HP, Groupe hospitalier Pitié-Salpêtrière, Department of Neurology, Intensive Care Unit, Paris, France – sequence: 8 givenname: Mariano surname: Sigman fullname: Sigman, Mariano organization: 7 Integrative Neuroscience Laboratory, Physics Department, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina8 Universidad Torcuato Di Tella, Almirante Juan Saenz Valiente 1010, C1428BIJ Buenos Aires, Argentina – sequence: 9 givenname: Stanislas surname: Dehaene fullname: Dehaene, Stanislas organization: 1 Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale, U992, F-91191 Gif/Yvette, France2 NeuroSpin Centre, Institute of BioImaging Commissariat à l'Energie Atomique, F-91191 Gif/Yvette, France9 Université Paris 11, Orsay, France10 Collège de France, F-75005 Paris, France – sequence: 10 givenname: Lionel surname: Naccache fullname: Naccache, Lionel organization: 3 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France5 AP-HP, Groupe hospitalier Pitié-Salpêtrière, Department of Neurophysiology, Paris, France |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24919971$$D View this record in MEDLINE/PubMed |
| BookMark | eNpNUMtOwzAQtFARLYUbZ-Qjl1Cv7byOqOIlVeIC58hx1pGR4xQ7Kerfk0IRXHZHs7OrmT0nM997JOQK2C2wUqzqoKxfqc8RJJyQBciMJRzSbPYPz8l5jO-MgRQ8OyNzLksoyxwWZNio0CKNWrlDDYje-pb2hnocg3I02tarYQwYD6TufdS2H6PHGKn1dKsGi374xorusMVhYnZI-0A7622nnNv_rdE4jfGCnBrlIl4e-5K8Pdy_rp-Szcvj8_puk-gU5JCAkJmUkCtTT0manKXKSCZ43hSihhKMLkqVccb5lKdhmhumCyNrU0De5ELyJbn5ubsN_ceIcag6GzU6pzxOZipIZZEJATydpNdH6Vh32FTbMFkP--r3U_wLLiFuYA |
| CitedBy_id | crossref_primary_10_7554_eLife_05652 crossref_primary_10_1093_brain_awaf075 crossref_primary_10_3389_fneur_2020_00933 crossref_primary_10_3389_fnhum_2016_00259 crossref_primary_10_3389_fnins_2025_1547167 crossref_primary_10_1016_j_neuroimage_2022_119521 crossref_primary_10_1073_pnas_1501026112 crossref_primary_10_1109_TNSRE_2023_3346947 crossref_primary_10_1038_s41598_021_95818_6 crossref_primary_10_1007_s11055_021_01173_4 crossref_primary_10_1016_j_nicl_2019_101841 crossref_primary_10_1111_ejn_15994 crossref_primary_10_3389_fnhum_2016_00012 crossref_primary_10_1007_s12028_022_01594_0 crossref_primary_10_1371_journal_pcbi_1004537 crossref_primary_10_1038_s42003_024_06858_3 crossref_primary_10_1016_j_clinph_2018_08_004 crossref_primary_10_1038_s42003_024_06851_w crossref_primary_10_7717_peerj_6575 crossref_primary_10_1016_j_lpm_2022_104163 crossref_primary_10_1016_j_neuroimage_2021_117985 crossref_primary_10_1093_nc_niae027 crossref_primary_10_1002_ana_24779 crossref_primary_10_1371_journal_pone_0298110 crossref_primary_10_1016_j_neucli_2018_05_038 crossref_primary_10_1002_ana_24311 crossref_primary_10_1093_sleep_zsaa247 crossref_primary_10_1007_s12028_021_01227_y crossref_primary_10_1016_j_concog_2017_05_002 crossref_primary_10_1371_journal_pone_0133532 crossref_primary_10_1093_cercor_bhad031 crossref_primary_10_1038_s41598_017_00323_4 crossref_primary_10_1016_j_resuscitation_2021_06_008 crossref_primary_10_1038_s43856_025_01042_y crossref_primary_10_1097_WNR_0000000000000886 crossref_primary_10_1016_j_neuroimage_2020_117579 crossref_primary_10_1016_j_neuron_2023_03_015 crossref_primary_10_1111_ejn_16299 crossref_primary_10_1007_s12152_018_9388_1 crossref_primary_10_1080_02699052_2017_1364421 crossref_primary_10_1055_s_0043_1775845 crossref_primary_10_3390_diagnostics13030507 crossref_primary_10_1093_brain_awv169 crossref_primary_10_1016_j_concog_2025_103919 crossref_primary_10_1007_s12028_020_01028_9 crossref_primary_10_3389_fneur_2023_1116382 crossref_primary_10_1007_s10548_025_01142_x crossref_primary_10_1016_j_neurom_2021_11_003 crossref_primary_10_1093_cercor_bhz095 crossref_primary_10_1007_s11910_022_01167_w crossref_primary_10_1093_nc_nix010 crossref_primary_10_1016_S1474_4422_17_30402_7 crossref_primary_10_1007_s12264_022_00909_7 crossref_primary_10_1088_1741_2552_ad7904 crossref_primary_10_3389_fninf_2023_1128866 crossref_primary_10_1007_s12028_023_01710_8 crossref_primary_10_1016_j_slsci_2016_09_001 crossref_primary_10_1038_s41593_023_01449_7 crossref_primary_10_1016_j_nicl_2020_102372 crossref_primary_10_1038_s41598_024_56045_x crossref_primary_10_1086_716838 crossref_primary_10_1186_s40779_024_00585_w crossref_primary_10_3389_fnhum_2022_889023 crossref_primary_10_1093_brain_awaa159 crossref_primary_10_1093_brain_awac335 crossref_primary_10_1002_hbm_24914 crossref_primary_10_1016_j_heliyon_2024_e31277 crossref_primary_10_1093_nc_niaa005 crossref_primary_10_1088_1741_2552_aceaac crossref_primary_10_1097_JS9_0000000000002022 crossref_primary_10_1093_cercor_bhaf112 crossref_primary_10_3389_fpsyg_2021_655884 crossref_primary_10_1016_j_apmr_2016_09_132 crossref_primary_10_1038_s42003_021_02738_2 crossref_primary_10_3390_brainsci13091295 crossref_primary_10_1177_09760016251334216 crossref_primary_10_1016_j_nicl_2024_103698 crossref_primary_10_1016_j_cub_2018_10_022 crossref_primary_10_1111_ejn_16079 crossref_primary_10_3390_brainsci10110845 crossref_primary_10_1016_j_neuron_2020_01_026 crossref_primary_10_1093_nc_niaf022 crossref_primary_10_1038_s41598_023_30639_3 crossref_primary_10_1016_j_pneurobio_2022_102215 crossref_primary_10_1097_ALN_0000000000002977 crossref_primary_10_1186_s12883_017_0977_0 crossref_primary_10_3389_fnins_2022_878203 crossref_primary_10_1016_j_accpm_2023_101301 crossref_primary_10_1016_j_clinph_2017_02_012 crossref_primary_10_1056_NEJMoa2400645 crossref_primary_10_1523_JNEUROSCI_2718_20_2021 crossref_primary_10_1016_j_neuroimage_2019_116316 crossref_primary_10_1038_s42003_025_08666_9 crossref_primary_10_1371_journal_pone_0290146 crossref_primary_10_1371_journal_pcbi_1003887 crossref_primary_10_3389_fnsys_2022_654541 crossref_primary_10_1007_s00018_020_03512_z crossref_primary_10_1016_j_nicl_2017_10_003 crossref_primary_10_1016_j_tics_2021_05_009 crossref_primary_10_3390_biomedicines10081897 crossref_primary_10_1038_s41467_021_21393_z crossref_primary_10_1177_10597123221080193 crossref_primary_10_1007_s12264_018_0243_5 crossref_primary_10_1016_j_clinph_2017_06_037 crossref_primary_10_1093_nc_niad016 crossref_primary_10_3390_brainsci12081095 crossref_primary_10_1088_1741_2552_ab8b2c crossref_primary_10_1093_cercor_bhaa085 crossref_primary_10_1016_j_celrep_2023_112854 crossref_primary_10_1002_ana_25045 crossref_primary_10_1093_brain_awab063 crossref_primary_10_1109_ACCESS_2019_2916165 crossref_primary_10_1038_s41598_023_47806_1 crossref_primary_10_1136_bmjopen_2023_078281 crossref_primary_10_1038_s41582_020_00428_x crossref_primary_10_1017_cjn_2024_55 crossref_primary_10_1016_j_bja_2023_09_031 crossref_primary_10_1016_j_clinph_2018_03_048 crossref_primary_10_1007_s12028_024_02058_3 crossref_primary_10_1016_j_neuroimage_2020_117415 crossref_primary_10_4103_ATN_ATN_D_24_00006 crossref_primary_10_1155_2023_4142053 crossref_primary_10_1177_02692155221099704 crossref_primary_10_3389_fnins_2023_1257511 crossref_primary_10_1016_j_neurobiolaging_2021_04_024 crossref_primary_10_1038_s41598_025_98865_5 crossref_primary_10_1016_j_neuroimage_2015_12_006 crossref_primary_10_3389_fnins_2022_834507 crossref_primary_10_3389_fnins_2025_1492225 crossref_primary_10_3390_brainsci10010042 crossref_primary_10_1038_s41598_018_24924_9 crossref_primary_10_3389_fnhum_2020_560586 crossref_primary_10_1038_s42256_020_0181_6 crossref_primary_10_1016_j_neuroimage_2022_119624 crossref_primary_10_1111_ejn_16302 crossref_primary_10_1136_jnnp_2015_310958 crossref_primary_10_1016_j_neurol_2021_12_004 crossref_primary_10_1007_s00415_016_8084_5 crossref_primary_10_1186_s12984_023_01216_6 crossref_primary_10_1007_s00415_017_8591_z crossref_primary_10_1111_ene_14151 crossref_primary_10_3389_fnins_2022_756651 crossref_primary_10_1016_j_neurol_2017_08_001 crossref_primary_10_1016_j_neuroimage_2016_10_038 crossref_primary_10_1007_s00415_016_8150_z crossref_primary_10_1016_j_neuroimage_2019_116452 crossref_primary_10_1007_s00415_016_8196_y crossref_primary_10_3389_fnins_2023_1145699 crossref_primary_10_1002_ana_24752 crossref_primary_10_1016_j_clinph_2024_04_021 crossref_primary_10_1016_j_pmr_2023_07_005 crossref_primary_10_1186_s13054_024_04986_0 crossref_primary_10_1016_j_clinph_2021_08_027 crossref_primary_10_1038_nrn_2016_22 crossref_primary_10_1073_pnas_1418730112 crossref_primary_10_1073_pnas_1418031112 crossref_primary_10_1016_j_neuroscience_2022_10_018 crossref_primary_10_1016_j_neuroscience_2022_04_025 crossref_primary_10_1038_s41598_019_54788_6 crossref_primary_10_1038_nn_4545 crossref_primary_10_1093_nc_niw011 crossref_primary_10_1007_s00134_022_06854_3 crossref_primary_10_1038_s41467_018_06871_1 crossref_primary_10_1088_1741_2552_ab79f5 crossref_primary_10_1109_TNSRE_2023_3250958 crossref_primary_10_1016_j_nicl_2016_03_012 crossref_primary_10_1097_CCM_0000000000006372 crossref_primary_10_1093_brain_awx324 crossref_primary_10_1371_journal_pone_0180136 crossref_primary_10_12688_f1000research_6590_1 crossref_primary_10_1007_s10548_016_0489_z crossref_primary_10_1111_jsr_70161 crossref_primary_10_1016_j_seizure_2016_03_005 crossref_primary_10_1016_j_neuroimage_2022_119003 crossref_primary_10_1080_02699052_2019_1667535 crossref_primary_10_1038_s42003_024_06335_x crossref_primary_10_1080_03036758_2020_1840405 crossref_primary_10_1016_j_rehab_2024_101825 crossref_primary_10_1038_s42003_023_05588_2 crossref_primary_10_1093_nc_niz013 crossref_primary_10_1055_s_0043_1775792 crossref_primary_10_3892_etm_2017_4639 crossref_primary_10_1016_j_neuropsychologia_2025_109096 crossref_primary_10_1007_s12028_022_01586_0 crossref_primary_10_1186_s12883_022_02958_x crossref_primary_10_1016_j_neuroimage_2025_121059 crossref_primary_10_1186_s13054_019_2370_4 crossref_primary_10_1016_j_apmr_2018_07_001 crossref_primary_10_1007_s12028_021_01354_6 crossref_primary_10_3389_fnsys_2019_00075 crossref_primary_10_1038_s41598_019_45289_7 crossref_primary_10_1007_s12028_021_01233_0 crossref_primary_10_3389_fneur_2025_1497316 crossref_primary_10_3389_fneur_2018_00315 crossref_primary_10_3389_fnins_2022_863016 crossref_primary_10_1007_s00429_024_02839_8 crossref_primary_10_1016_j_bja_2022_09_005 crossref_primary_10_3724_SP_J_1329_2025_01001 crossref_primary_10_1038_s41598_020_61180_2 crossref_primary_10_1109_ACCESS_2025_3555521 crossref_primary_10_1016_j_cub_2017_07_060 crossref_primary_10_1002_acn3_596 crossref_primary_10_1017_cjn_2022_301 crossref_primary_10_1093_nc_niab048 crossref_primary_10_1093_nc_niab047 crossref_primary_10_3390_s21217258 crossref_primary_10_1016_j_jneumeth_2023_109958 crossref_primary_10_3389_fneur_2018_00676 crossref_primary_10_3390_app14020890 crossref_primary_10_3389_fnhum_2015_00105 crossref_primary_10_1002_ana_24283 crossref_primary_10_1016_j_physbeh_2021_113553 crossref_primary_10_1016_S1474_4422_16_30027_8 crossref_primary_10_1136_bmjopen_2019_029621 crossref_primary_10_1371_journal_pbio_3003217 crossref_primary_10_1177_1550059416674842 crossref_primary_10_3389_fnins_2022_1071594 crossref_primary_10_1016_j_concog_2017_03_006 crossref_primary_10_3389_fnhum_2022_992649 crossref_primary_10_1093_brain_awz150 crossref_primary_10_1111_anae_14535 crossref_primary_10_1016_j_clinph_2015_08_022 crossref_primary_10_1109_TNSRE_2022_3150834 crossref_primary_10_1016_j_ijpsycho_2016_12_012 crossref_primary_10_1016_j_cmpb_2019_04_017 crossref_primary_10_1093_cercor_bhaa178 crossref_primary_10_1093_cercor_bhaa058 crossref_primary_10_1097_WNP_0000000000000533 crossref_primary_10_3389_fnins_2022_1024278 crossref_primary_10_1007_s10548_018_0643_x crossref_primary_10_1016_j_tins_2018_01_003 crossref_primary_10_1111_ene_70138 crossref_primary_10_3389_fneur_2017_00471 crossref_primary_10_1016_j_jnrt_2025_100219 crossref_primary_10_1371_journal_pbio_3002120 crossref_primary_10_1016_j_clinph_2016_03_021 crossref_primary_10_1016_j_ijchp_2023_100370 crossref_primary_10_1371_journal_pcbi_1005123 crossref_primary_10_3390_brainsci10120917 crossref_primary_10_1093_nc_niad001 crossref_primary_10_1097_HTR_0000000000000267 crossref_primary_10_1371_journal_pone_0143180 crossref_primary_10_1016_j_tins_2019_11_003 crossref_primary_10_1093_nc_niaa017 crossref_primary_10_1186_s40560_024_00749_9 crossref_primary_10_1007_s11571_023_09944_0 crossref_primary_10_3390_brainsci10100748 crossref_primary_10_1038_s41598_020_70447_7 crossref_primary_10_3389_fnsys_2019_00025 crossref_primary_10_7717_peerj_6929 crossref_primary_10_1038_s41593_020_0639_1 crossref_primary_10_1093_pnasnexus_pgae531 crossref_primary_10_3389_fnins_2019_00223 crossref_primary_10_1109_TBME_2024_3353110 crossref_primary_10_1523_JNEUROSCI_0658_22_2022 crossref_primary_10_1002_acn3_70102 crossref_primary_10_1016_j_clinph_2020_07_015 crossref_primary_10_1016_j_nicl_2016_12_004 crossref_primary_10_1016_j_jns_2016_07_016 crossref_primary_10_1088_1741_2552_ad618b crossref_primary_10_1016_j_neuroimage_2021_118638 crossref_primary_10_1038_s42003_024_06852_9 crossref_primary_10_1007_s12028_024_02005_2 crossref_primary_10_1093_brain_aww060 crossref_primary_10_1002_ana_26095 crossref_primary_10_1016_j_nicl_2020_102472 crossref_primary_10_1093_cercor_bhab209 crossref_primary_10_3390_biology12070967 crossref_primary_10_1016_j_nicl_2020_102471 crossref_primary_10_1109_ACCESS_2019_2898429 crossref_primary_10_3389_fneur_2020_588233 crossref_primary_10_3389_fnins_2020_555093 crossref_primary_10_1093_brain_awac434 crossref_primary_10_4037_ccn2021344 crossref_primary_10_3389_fnins_2018_00370 crossref_primary_10_1371_journal_pone_0242056 crossref_primary_10_1007_s12028_023_01795_1 crossref_primary_10_1016_j_neuron_2024_04_027 crossref_primary_10_1093_cercor_bhaf254 crossref_primary_10_1016_j_neuroimage_2023_120162 crossref_primary_10_1162_netn_a_00119 crossref_primary_10_1016_j_clinph_2023_03_007 crossref_primary_10_1109_JBHI_2024_3445118 crossref_primary_10_3389_fnins_2024_1340528 crossref_primary_10_3389_fnsys_2017_00016 crossref_primary_10_1093_nc_niy011 crossref_primary_10_1016_j_neuroimage_2021_118407 crossref_primary_10_1007_s10484_021_09518_y crossref_primary_10_1016_j_brs_2019_05_013 crossref_primary_10_3389_fneur_2021_778951 crossref_primary_10_1016_j_nicl_2018_04_027 crossref_primary_10_3390_brainsci11060697 crossref_primary_10_1016_j_neubiorev_2019_06_030 crossref_primary_10_1007_s12028_023_01769_3 crossref_primary_10_1088_1361_6579_aa81b5 crossref_primary_10_3390_brainsci15040377 crossref_primary_10_1080_00207454_2019_1702543 crossref_primary_10_1093_brain_awad197 crossref_primary_10_1038_s41593_023_01450_0 crossref_primary_10_1016_j_neuroimage_2023_120057 crossref_primary_10_1002_hbm_26586 crossref_primary_10_1109_JBHI_2023_3264987 crossref_primary_10_1016_j_nicl_2021_102601 crossref_primary_10_1162_jocn_a_02154 crossref_primary_10_1016_j_clinph_2018_09_104 crossref_primary_10_1103_PhysRevResearch_2_023219 crossref_primary_10_1038_s41598_022_25861_4 crossref_primary_10_1080_02699052_2017_1327673 crossref_primary_10_3390_brainsci10070469 crossref_primary_10_1111_cns_14469 crossref_primary_10_1371_journal_pcbi_1009139 crossref_primary_10_3390_jcm8030306 crossref_primary_10_1093_brain_awx176 crossref_primary_10_1016_j_neubiorev_2017_07_013 crossref_primary_10_1177_17456916211029942 crossref_primary_10_1016_j_neubiorev_2020_07_019 crossref_primary_10_1038_s41598_021_93880_8 crossref_primary_10_1016_j_neurot_2025_e00587 crossref_primary_10_1016_j_brs_2020_07_012 crossref_primary_10_1016_j_neubiorev_2021_09_029 crossref_primary_10_1038_s42003_022_03576_6 crossref_primary_10_1038_s41591_024_03019_1 crossref_primary_10_1155_2018_5036184 crossref_primary_10_3389_fnins_2022_836758 crossref_primary_10_3390_brainsci14030209 crossref_primary_10_3389_fneur_2024_1283140 crossref_primary_10_1007_s00415_020_10095_z crossref_primary_10_1016_j_brainres_2024_149133 crossref_primary_10_1093_nc_niz003 crossref_primary_10_3390_brainsci10090626 crossref_primary_10_1093_brain_awy251 crossref_primary_10_1080_21507740_2017_1380728 crossref_primary_10_1371_journal_pbio_3003252 crossref_primary_10_1212_WNL_0000000000005926 crossref_primary_10_1111_ejn_16394 crossref_primary_10_3389_fnins_2019_00807 crossref_primary_10_3389_fnbeh_2020_00002 crossref_primary_10_1093_brain_awx163 crossref_primary_10_3389_fneur_2019_00248 crossref_primary_10_1002_bmc_70079 crossref_primary_10_1016_j_neuroscience_2025_07_023 crossref_primary_10_1007_s12264_019_00369_6 crossref_primary_10_1093_nc_niab023 crossref_primary_10_1016_j_bja_2018_04_032 |
| ContentType | Journal Article |
| Copyright | The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com. |
| Copyright_xml | – notice: The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com. |
| DBID | CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1093/brain/awu141 |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1460-2156 |
| ExternalDocumentID | 24919971 |
| Genre | Research Support, Non-U.S. Gov't Journal Article Comparative Study |
| GrantInformation_xml | – fundername: European Research Council grantid: 249830 |
| GroupedDBID | --- -E4 -~X .2P .55 .GJ .I3 .XZ .ZR 0R~ 1CY 1TH 23N 2WC 354 3O- 4.4 41~ 482 48X 53G 5GY 5RE 5VS 5WA 5WD 6PF 70D AABZA AACZT AAGKA AAIMJ AAJKP AAJQQ AAMDB AAMVS AAOGV AAPGJ AAPNW AAPQZ AAPXW AAQQT AARHZ AAUAY AAUQX AAVAP AAVLN AAWDT AAWTL AAYJJ ABDFA ABDPE ABEJV ABEUO ABGNP ABIME ABIVO ABIXL ABJNI ABKDP ABLJU ABMNT ABNGD ABNHQ ABNKS ABPIB ABPQP ABPTD ABQLI ABQNK ABSMQ ABVGC ABWST ABXVV ABXZS ABZBJ ABZEO ACBNA ACFRR ACGFS ACIWK ACPQN ACPRK ACUFI ACUKT ACUTJ ACUTO ACVCV ACYHN ACZBC ADBBV ADEYI ADEZT ADGKP ADGZP ADHKW ADHZD ADIPN ADMTO ADNBA ADOCK ADQBN ADRTK ADVEK ADYVW ADZXQ AEGPL AEHUL AEJOX AEKPW AEKSI AELWJ AEMDU AEMQT AENEX AENZO AEPUE AETBJ AEWNT AFFNX AFFQV AFFZL AFGWE AFIYH AFOFC AFSHK AFXAL AFYAG AGINJ AGKEF AGKRT AGMDO AGORE AGQPQ AGQXC AGSYK AGUTN AHGBF AHMBA AHMMS AHXPO AI. AIJHB AJBYB AJDVS AJEEA AJNCP AKWXX ALMA_UNASSIGNED_HOLDINGS ALUQC ALXQX ANFBD APIBT APJGH APWMN AQDSO AQKUS ARIXL ASAOO ASPBG ATDFG ATGXG ATTQO AVNTJ AVWKF AXUDD AYOIW AZFZN BAWUL BAYMD BCRHZ BEYMZ BHONS BQDIO BR6 BSWAC BTRTY BVRKM BZKNY C1A C45 CAG CDBKE CGR COF CS3 CUY CVF CXTWN CZ4 DAKXR DFGAJ DIK DILTD DU5 D~K E3Z EBS ECM EE~ EIF EIHJH EJD ELUNK EMOBN ENERS F5P F9B FECEO FEDTE FHSFR FLUFQ FOEOM FOTVD FQBLK GAUVT GJXCC GX1 H13 H5~ HAR HVGLF HW0 HZ~ IOX J21 J5H JXSIZ KAQDR KBUDW KOP KQ8 KSI KSN L7B M-Z MBLQV MBTAY MHKGH ML0 MVM N4W N9A NGC NLBLG NOMLY NOYVH NPM NTWIH NU- NVLIB O0~ O9- OAUYM OAWHX OBFPC OBOKY OCZFY ODMLO OHH OHT OJQWA OJZSN OK1 OPAEJ OVD OWPYF O~Y P2P PAFKI PB- PEELM PQQKQ Q1. Q5Y QBD R44 RD5 RIG RNI ROL ROX ROZ RUSNO RW1 RXO RZF RZO TCN TCURE TEORI TJX TLC TMA TR2 VH1 VVN W8F WH7 WOQ X7H X7M XJT XOL YAYTL YKOAZ YQJ YSK YXANX ZCG ZGI ZKB ZKX ZXP ~91 7X8 ABUFD |
| ID | FETCH-LOGICAL-c514t-13464417afb146d705af40327d83b191fc89a62022249d0c2f0c8f4bf817d7342 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 392 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000340051100018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1460-2156 |
| IngestDate | Sun Nov 09 14:45:08 EST 2025 Mon Jul 21 06:05:52 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | Pt 8 |
| Keywords | unresponsive wakefulness syndrome consciousness EEG minimally conscious state vegetative state |
| Language | English |
| License | The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c514t-13464417afb146d705af40327d83b191fc89a62022249d0c2f0c8f4bf817d7342 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| OpenAccessLink | https://academic.oup.com/brain/article-pdf/137/8/2258/13798055/awu141.pdf |
| PMID | 24919971 |
| PQID | 1548633125 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_1548633125 pubmed_primary_24919971 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-08-01 |
| PublicationDateYYYYMMDD | 2014-08-01 |
| PublicationDate_xml | – month: 08 year: 2014 text: 2014-08-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Brain (London, England : 1878) |
| PublicationTitleAlternate | Brain |
| PublicationYear | 2014 |
| SSID | ssj0014326 |
| Score | 2.6134992 |
| Snippet | In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | 2258 |
| SubjectTerms | Adolescent Adult Aged Aged, 80 and over Biomarkers Brain - physiopathology Brain Mapping - classification Brain Mapping - methods Brain Mapping - standards Clinical Protocols Consciousness Disorders - classification Consciousness Disorders - etiology Consciousness Disorders - physiopathology Electroencephalography - classification Electroencephalography - methods Electroencephalography - standards Evoked Potentials - physiology Female Humans Male Middle Aged Persistent Vegetative State - classification Persistent Vegetative State - etiology Persistent Vegetative State - physiopathology Trauma Severity Indices Young Adult |
| Title | Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/24919971 https://www.proquest.com/docview/1548633125 |
| Volume | 137 |
| WOSCitedRecordID | wos000340051100018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LSwMxEA5qRbz4ftQXEbwu3Wyyu9mTiFg82NKDQm8lr5VC3a3dtuK_d2Y3pSdB8BKWhZCQmWS-yXyZIeROxUxal4SBcSIMhBMsyJQWQRILzROhc2ObYhNpvy-Hw2zgL9wqT6tcnYn1QW1Lg3fkHYTWCedgj--nnwFWjcLoqi-hsUlaHKAManU6XEcRBI_866IwANOWeOI7OPEdjQUYOuprwQT7HVzWRqa7_9_pHZA9Dy_pQ6MPh2TDFUdkp-cD6Mdk_oLMb1qBZLBF0g3YLlrmFBNbQk_kc9S5Piv8Cc4ymMhyUeGBSMcF9WlY629Fl-69ZisuHS1nFLOUfKjJ5HvdjdbvlU7IW_fp9fE58IUXAgP4CcvTC4RJqco1rJ1Nw1jlIuRRaiXX4ODlRmYqidBXFJkNTZSHRuYgWMlSm3IRnZKtoizcOaGxlknMndSxsAK2uMo4U8xol2qtRRa1ye1qPUeg2BitUIWDCY7WK9omZ41QRtMmA8cIhkWCDLv4Q-9LsgsgRzSkvSvSymFbu2uybZbzcTW7qTUG2v6g9wMUjs23 |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Large+scale+screening+of+neural+signatures+of+consciousness+in+patients+in+a+vegetative+or+minimally+conscious+state&rft.jtitle=Brain+%28London%2C+England+%3A+1878%29&rft.au=Sitt%2C+Jacobo+Diego&rft.au=King%2C+Jean-Remi&rft.au=El+Karoui%2C+Imen&rft.au=Rohaut%2C+Benjamin&rft.date=2014-08-01&rft.issn=1460-2156&rft.eissn=1460-2156&rft.volume=137&rft.issue=Pt+8&rft.spage=2258&rft_id=info:doi/10.1093%2Fbrain%2Fawu141&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1460-2156&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1460-2156&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1460-2156&client=summon |