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5. Hall Effect of Epitaxial YBa2Cu3O7−x and Bi2Sr2CaCu2O y Films

Author

Hopfengärtner, R., Leghissa, M., Kreiselmeyer, G., Holzapfel, B., Schmitt, P., Saemann-Ischenko, G., Cardona, Manuel, editor, Fulde, Peter, editor, von Klitzing, Klaus, editor, Queisser, Hans-Joachim, editor, Lotsch, Helmut K. V., editor, Kuzmany, Hans, editor, Mehring, Michael, editor, and Fink, Jörg, editor

Published
1993
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7. Hippocampal neurons code individual episodic memories in humans

Author

Kolibius, L. D., primary, Roux, F., additional, Parish, G., additional, Ter Wal, M., additional, Van Der Plas, M., additional, Chelvarajah, R., additional, Sawlani, V., additional, Rollings, D. T., additional, Lang, J., additional, Gollwitzer, S., additional, Walther, K., additional, Hopfengärtner, R., additional, Kreiselmeyer, G., additional, Hamer, H., additional, Staresina, B. P., additional, Wimber, M., additional, Bowman, H., additional, and Hanslmayr, S., additional

Published
2021
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20. W8.3 SCORE: background activity, sleep and non-ictal findings

Author

Beniczky, S., primary, Aurlien, H., additional, Fuglsang-Frederiksen, A., additional, Martins-da-Silva, A., additional, Trinka, E., additional, Visser, G., additional, Rubboli, G., additional, Hjalgrim, H., additional, Stefan, H., additional, Rosén, I., additional, Brøgger, J.C., additional, Zarubova, J., additional, Dobesberger, J., additional, Alving, J., additional, Andersen, K.V., additional, Atkins, M.D., additional, Neufeld, M., additional, Plouin, P., additional, Marusic, P., additional, Lees, R., additional, Pressler, R., additional, Mameniskiene, R., additional, Hopfengärtner, R., additional, van Emde Boas, W., additional, Wolf, P., additional, and Fabricius, M., additional

Published
2011
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21. W8.4 SCORE: specific features of the neonatal EEG

Author

Pressler, R., primary, Beniczky, S., additional, Aurlien, H., additional, Fuglsang-Frederiksen, A., additional, Martins-da-Silva, A., additional, Trinka, E., additional, Visser, G., additional, Rubboli, G., additional, Hjalgrim, H., additional, Stefan, H., additional, Rosén, I., additional, Brøgger, J.C., additional, Zarubova, J., additional, Dobesberger, J., additional, Alving, J., additional, Andersen, K.V., additional, Fabricius, M., additional, Atkins, M.D., additional, Neufeld, M., additional, Plouin, P., additional, Wolf, P., additional, Marusic, P., additional, Lees, R., additional, Mameniskiene, R., additional, Hopfengärtner, R., additional, and van Emde Boas, W., additional

Published
2011
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22. W8.5 SCORE: normal variants, artefacts, polygraphic channels and interpretation

Author

Rubboli, G., primary, Beniczky, S., additional, Aurlien, H., additional, Fuglsang-Frederiksen, A., additional, Martins-da-Silva, A., additional, Trinka, E., additional, Visser, G., additional, Hjalgrim, H., additional, Stefan, H., additional, Rosén, I., additional, Zarubova, J., additional, Dobesberger, J., additional, Alving, J., additional, Andersen, K.V., additional, Fabricius, M., additional, Atkins, M.D., additional, Neufeld, M., additional, Plouin, P., additional, Marusic, P., additional, Lees, R., additional, Pressler, R., additional, Hopfengärtner, R., additional, Brøgger, J.C., additional, Mameniskiene, R., additional, van Emde Boas, W., additional, and Wolf, P., additional

Published
2011
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23. W8.2 SCORE: an overview of the software

Author

Aurlien, H., primary, Beniczky, S., additional, Fuglsang-Frederiksen, A., additional, Martinsda-Silva, A., additional, Trinka, E., additional, Visser, G., additional, Rubboli, G., additional, Hjalgrim, H., additional, Stefan, H., additional, Rosén, I., additional, Zarubova, J., additional, Dobesberger, J., additional, Alving, J., additional, Andersen, K.V., additional, Fabricius, M., additional, Atkins, M.D., additional, Neufeld, M., additional, Plouin, P., additional, Marusic, P., additional, Lees, R., additional, Pressler, R., additional, Hopfengärtner, R., additional, Brøgger, J.C., additional, Mameniskiene, R., additional, van Emde Boas, W., additional, and Wolf, P., additional

Published
2011
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24. W8.1 SCORE: ictal findings

Author

Beniczky, S., primary, Aurlien, H., additional, Fuglsang-Frederiksen, A., additional, Martinsda-Silva, A., additional, Trinka, E., additional, Visser, G., additional, Rubboli, G., additional, Hjalgrim, H., additional, Stefan, H., additional, Rosén, I., additional, Zarubova, J., additional, Dobesberger, J., additional, Alving, J., additional, Andersen, K.V., additional, Fabricius, M., additional, Atkins, M.D., additional, Neufeld, M., additional, Plouin, P., additional, Marusic, P., additional, Lees, R., additional, Pressler, R., additional, Hopfengärtner, R., additional, Brøgger, J.C., additional, Mameniskiene, R., additional, van Emde Boas, W., additional, and Wolf, P., additional

Published
2011
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43. Magnetoencephalography in extratemporal epilepsy.

Author

Stefan, Hermann, Hummel, Cornelia, Hopfengärtner, Rüdiger, Pauli, Elisabeth, Tilz, Christian, Ganslandt, Oliver, Kober, Helmut, Möller, Martin, Buchfelder, Michael, Stefan, H, Hummel, C, Hopfengärtner, R, Pauli, E, Tilz, C, Ganslandt, O, Kober, H, Möler, A, and Buchfelder, M

Published
2000
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44. P6-18 SCORE: standardised computer-based organised reporting of EEG

Author

Beniczky, S., Aurlien, H., Martins-da-Silva, A., Visser, G., Rubboli, G., Hjalgrim, H., Stefan, H., Rosen, I., Zarubova, J., Dobesberger, J., Alving, J., Andersen, K.V., Fabricius, M., Atkins, M.D., Neufeld, M., Plouin, P., Marusic, P., Lees, R., Pressler, R., Hopfengaertner, R., Mameniskiene, R., Emde Boas, W.V., Fuglsang-Frederiksen, A., Trinka, E., and Wolf, P.

Published
2010
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45. Transport properties of oxygen-deficient YBa2Cu3O7−x thin films

Author

Hopfengärtner, R., Lippert, M., Dorsch, W., Dietrich, H., Kreiselmeyer, G., and Saemann-Ischenko, G.

Abstract

We report on measurements of the in-plane resistivity? and Hall coefficientRH(B?c) of various oxygen-deficient epitaxial films of YBa2Cu3O7-x in the normal state. The superconducting transition temperaturesTc of the samples vary from 14 to 90 K. Both the resistivity and the Hall coefficient exhibit a strong dependence on the oxygen content and the temperature. Asx increases,Tc decreases continuously, while? andRHgradually increase in magnitude. Furthermore, also the characteristic linear dependences of?aT andRHaT-1 of the highly doped compounds changes to a nonlinear behavior for the samples withTc lower than 60 K. The unusual doping and temperature dependence ofRH will be compared to the predictions of our calculations, based on a two-dimensional tight-binding model using the relaxation-time approximation. The model considers also the next-nearest-neighbor hopping, which strongly influences the predicted Hall coefficient. Additionally, the cotangent of the Hall angle cot(TH) is discussed in the framework of the two-dimensional Luttinger liquid theory.

Published
1994
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48. Hippocampal neurons code individual episodic memories in humans.

Author

Kolibius LD, Roux F, Parish G, Ter Wal M, Van Der Plas M, Chelvarajah R, Sawlani V, Rollings DT, Lang JD, Gollwitzer S, Walther K, Hopfengärtner R, Kreiselmeyer G, Hamer H, Staresina BP, Wimber M, Bowman H, and Hanslmayr S

Subjects
Humans, Hippocampus physiology, Neurons physiology, Memory, Episodic
Abstract

The hippocampus is an essential hub for episodic memory processing. However, how human hippocampal single neurons code multi-element associations remains unknown. In particular, it is debated whether each hippocampal neuron represents an invariant element within an episode or whether single neurons bind together all the elements of a discrete episodic memory. Here we provide evidence for the latter hypothesis. Using single-neuron recordings from a total of 30 participants, we show that individual neurons, which we term episode-specific neurons, code discrete episodic memories using either a rate code or a temporal firing code. These neurons were observed exclusively in the hippocampus. Importantly, these episode-specific neurons do not reflect the coding of a particular element in the episode (that is, concept or time). Instead, they code for the conjunction of the different elements that make up the episode., (© 2023. The Author(s).)

Published
2023
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49. Quantitative EEG may predict weaning failure in ventilated patients on the neurological intensive care unit.

Author

Welte TM, Gabriel M, Hopfengärtner R, Rampp S, Gollwitzer S, Lang JD, Stritzelberger J, Reindl C, Madžar D, Sprügel MI, Huttner HB, Kuramatsu JB, Schwab S, and Hamer HM

Subjects
Aged, Aged, 80 and over, Electroencephalography, Female, Humans, Intensive Care Units, Male, Middle Aged, Prospective Studies, Respiration, Artificial adverse effects, Ventilator Weaning
Abstract

Neurocritical patients suffer from a substantial risk of extubation failure. The aim of this prospective study was to analyze if quantitative EEG (qEEG) monitoring is able to predict successful extubation in these patients. We analyzed EEG-monitoring for at least six hours before extubation in patients receiving mechanical ventilation (MV) on our neurological intensive care unit (NICU) between November 2017 and May 2019. Patients were divided in 2 groups: patients with successful extubation (SE) versus patients with complications after MV withdrawal (failed extubation; FE), including reintubation, need for non-invasive ventilation (NIV) or death. Bipolar six channel EEG was applied. Unselected raw EEG signal underwent automated artefact rejection and Short Time Fast Fourier Transformation. The following relative proportions of global EEG spectrum were analyzed: relative beta (RB), alpha (RA), theta (RT), delta (RD) as well as the alpha delta ratio (ADR). Coefficient of variation (CV) was calculated as a measure of fluctuations in the different power bands. Mann-Whitney U test and logistic regression were applied to analyze group differences. 52 patients were included (26 male, mean age 65 ± 17 years, diagnosis: 40% seizures/status epilepticus, 37% ischemia, 13% intracranial hemorrhage, 10% others). Successful extubation was possible in 40 patients (77%), reintubation was necessary in 6 patients (12%), 5 patients (10%) required NIV, one patient died. In contrast to FE patients, SE patients showed more stable EEG power values (lower CV) considering all EEG channels (RB: p < 0.0005; RA: p = 0.045; RT: p = 0.045) with RB as an independent predictor of weaning success in logistic regression (p = 0.004). The proportion of the EEG frequency bands (RB, RA RT, RD) of the entire EEG power spectrum was not significantly different between SE and FE patients. Higher fluctuations in qEEG frequency bands, reflecting greater fluctuation in alertness, during the hours before cessation of MV were associated with a higher rate of complications after extubation in this cohort. The stability of qEEG power values may represent a non-invasive, examiner-independent parameter to facilitate weaning assessment in neurocritical patients., (© 2022. The Author(s).)

Published
2022
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50. Alpha power decrease in quantitative EEG detects development of cerebral infarction after subarachnoid hemorrhage early.

Author

Mueller TM, Gollwitzer S, Hopfengärtner R, Rampp S, Lang JD, Stritzelberger J, Madžar D, Reindl C, Sprügel MI, Dogan Onugoren M, Muehlen I, Kuramatsu JB, Schwab S, Huttner HB, and Hamer HM

Subjects
Aged, Cerebral Infarction physiopathology, Electroencephalography, Female, Humans, Male, Middle Aged, Subarachnoid Hemorrhage physiopathology, Alpha Rhythm physiology, Cerebral Cortex physiopathology, Cerebral Infarction etiology, Subarachnoid Hemorrhage complications
Abstract

Objective: In subarachnoid hemorrhage (SAH), transcranial Doppler/color-coded-duplex sonography (TCD/TCCS) is used to detect delayed cerebral ischemia (DCI). In previous studies, quantitative electroencephalography (qEEG) also predicted imminent DCI. This study aimed to compare and analyse the ability of qEEG and TCD/TCCS to early identify patients who will develop later manifest cerebral infarction., Methods: We analysed cohorts of two previous qEEG studies. Continuous six-channel-EEG with artefact rejection and a detrending procedure was applied. Alpha power decline of ≥ 40% for ≥ 5 hours compared to a 6-hour-baseline was defined as significant EEG event. Median reduction and duration of alpha power decrease in each channel was determined. Vasospasm was diagnosed by TCD/TCCS, identifying the maximum frequency and days of vasospasm in each territory., Results: 34 patients were included (17 male, mean age 56 ± 11 years, Hunt and Hess grade: I-V, cerebral infarction: 9). Maximum frequencies in TCD/TCCS and alpha power reduction in qEEG were correlated (r = 0.43; p = 0.015). Patients with and without infarction significantly differed in qEEG parameters (maximum alpha power decrease: 78% vs 64%, p = 0.019; summed hours of alpha power decline: 236 hours vs 39 hours, p = 0.006) but showed no significant differences in TCD/TCCS parameters., Conclusions: There was a moderate correlation of TCD/TCCS frequencies and qEEG alpha power reduction but only qEEG differentiated between patients with and without cerebral infarction., Significance: qEEG represents a non-invasive, continuous tool to identify patients at risk of cerebral infarction., Competing Interests: Declaration of Competing Interest Tamara M. Müller, Rüdiger Hopfengärtner, Stephan Rampp, Johannes Lang, Jenny Stritzelberger, Caroline Reindl, Maximilian I. Sprügel, Müjgan Dogan Onugoren, Iris Muehlen, Joji B. Kuramatsu, Stefan Schwab: report no disclosures. Stephanie Gollwitzer reports personal fees from Desitin, Eisai, UCB, outside the submitted work. Dominik Madžar reports grants from UCB Pharma and BayerVitalGmbH, outside submitted work. Hagen B. Huttner reports grants from Novartis, grants and personal fees from Bayer AG, grants and personal fees from Daiichi Sankyo, grants and personal fees from Medtronic, grants and personal fees from Portola Pharmaceuticals, outside the submitted work. Hajo M. Hamer: reports personal fees from UCB, Desitin, Eisai, GW, Novartis, IQWiG, Hexal, facetoface, grants from Amgen, Ad-Tech, Bracco, Pfizer, Micromed, Nihon Kohden, personal fees from Arvelle, outside the submitted work., (Copyright © 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

Published
2021
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