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Journal articles on the topic 'EEG mapping'

Author: Grafiati

Published: 2 June 2025

Last updated: 13 July 2025

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1

C., M. "EEG mapping." Neurology 41, no. 6 (1991): 951. http://dx.doi.org/10.1212/wnl.41.6.951-b.

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2

Schellenberg, Rüdiger, Angela Schwarz, Wolfgang Knorr, and Christoph Haufe. "EEG-brain mapping." Schizophrenia Research 8, no. 1 (1992): 21–29. http://dx.doi.org/10.1016/0920-9964(92)90057-c.

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3

Herrmann, W., St Kubicki, H. Künkel, et al. "Empfehlungen der Deutschen EEG-Gesellschaft für das Mapping von EEG-Parametern (EEG- und EP-Mapping)." Klinische Neurophysiologie 20, no. 03 (1989): 125–32. http://dx.doi.org/10.1055/s-2008-1060823.

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4

Klotz, Jürgen Michael. "Topographic EEG Mapping Methods." Cephalalgia 13, no. 1 (1993): 45–52. http://dx.doi.org/10.1046/j.1468-2982.1993.1301045.x.

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After almost 40 years of research on EEG computer analysis, present clinical applications of this method remain limited. At the present time, EEG mapping is suited primarily for research. Despite the pitfalls of an uncritical application of EEG mapping, progress in clinical research made possible by EEG mapping techniques has been considerable. Some problems of data acquisition, display and statistical analysis are discussed in this paper. For headache research examination of the activated EEG, especially with photic stimulation, has greater diagnostic importance than mapping under resting conditions.

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5

Millichap, J. Gordon. "EEG Mapping and BECT." Pediatric Neurology Briefs 6, no. 7 (1992): 51. http://dx.doi.org/10.15844/pedneurbriefs-6-7-4.

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6

Sagalés, T. "EEG mapping in encephalopathies." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S131. http://dx.doi.org/10.1016/0013-4694(90)92197-5.

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7

Steinberg, Reinhard, Wilfried Günther, Irene Stiltz, and Pierre Rondot. "EEG-mapping during music stimulation." Psychomusicology: A Journal of Research in Music Cognition 11, no. 2 (1992): 157–70. http://dx.doi.org/10.1037/h0094123.

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8

Darvas, F., R. Scherer, J. G. Ojemann, R. P. Rao, K. J. Miller, and L. B. Sorensen. "High gamma mapping using EEG." NeuroImage 49, no. 1 (2010): 930–38. http://dx.doi.org/10.1016/j.neuroimage.2009.08.041.

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9

Nuwer, M. R. "Clinical utility of EEG mapping." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S106. http://dx.doi.org/10.1016/0013-4694(90)92104-5.

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10

Wong, P. K. H. "EEG mapping of epileptic spikes." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S162—S163. http://dx.doi.org/10.1016/0013-4694(90)92310-s.

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11

Walerjan, Piotr, and Remigiusz Tarnecki. "PC based EEG mapping system." Acta Neurobiologiae Experimentalis 55, no. 4 (1995): 307–15. http://dx.doi.org/10.55782/ane-1995-1091.

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A PC based program has been designed for analysis of EEG data using brain electrical activity mapping technique. It operates under control of MS-DOS operating system and can be used as a stand alone program or incorporated into a digital EEG system. The program can apply different map interpolation algorithms from nearest neighbours methods to spherical spline functions. It performs analyses in the time and frequency domain. It applies different mapping parameters like amplitude, spectral values and a new one - first time derivative of amplitude. The program is being successfully used in clinical tests of epilepsy and Parkinson disease in our laboratory.

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12

Williamson, P. C., and H. Kaye. "EEG Mapping Applications in Psychiatric Disorders*." Canadian Journal of Psychiatry 34, no. 7 (1989): 680–86. http://dx.doi.org/10.1177/070674378903400710.

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A number of techniques have been developed for EEG mapping in recent years. The clinical and research applications of these techniques in psychiatry are reviewed with regard to schizophrenia, affective disorders, learning disorders, dementia, psychopharmacology and ruling out neurological disorders. Limitations and advantages of EEG mapping as well as its relation to other imaging techniques are discussed.

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13

Zschocke, St, V. Heidrich, and E. Kuhlmann. "Mapping des Spontan - EEG bei Herdstörungen." Klinische Neurophysiologie 21, no. 04 (1990): 233–42. http://dx.doi.org/10.1055/s-2008-1060799.

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14

Nuwer, Marc R. "The Development of EEG Brain Mapping." Journal of Clinical Neurophysiology 7, no. 4 (1990): 459–71. http://dx.doi.org/10.1097/00004691-199010000-00002.

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15

Danko, Serguey, Natalya Bechtereva, Maria Startchenko, and Larissa Antonova. "EEG mapping related to creative thinking." NeuroImage 13, no. 6 (2001): 393. http://dx.doi.org/10.1016/s1053-8119(01)91736-7.

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16

Lachaux, J. Ph, D. Rudrauf, and P. Kahane. "Intracranial EEG and human brain mapping." Journal of Physiology-Paris 97, no. 4-6 (2003): 613–28. http://dx.doi.org/10.1016/j.jphysparis.2004.01.018.

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17

Volf, Nina V., and Natalia R. Passynkova. "EEG mapping in seasonal affective disorder." Journal of Affective Disorders 72, no. 1 (2002): 61–69. http://dx.doi.org/10.1016/s0165-0327(01)00425-6.

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18

Lehmann, Dietrich. "Second swiss EEG-EP mapping meeting." Brain Topography 2, no. 3 (1990): 247–52. http://dx.doi.org/10.1007/bf01140593.

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19

Massetani, R., M. Maestrini, M. Mazzoni, and L. Murri. "EEG mapping in demented Parkinsonian patients." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S92. http://dx.doi.org/10.1016/0013-4694(90)92050-7.

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20

Pothmann, Raymund. "Topographic EEG Mapping in Childhood Headaches." Cephalalgia 13, no. 1 (1993): 57–58. http://dx.doi.org/10.1046/j.1468-2982.1993.1301057.x.

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The clinical distinction between migraine without aura and tension headache is more difficult in young children than it is in adults. The objective of this study was to examine the usefulness of topographic EEG mapping, as one method among other diagnostic techniques, for establishing a diagnosis. The clinical diagnosis of tension headache and migraine in children between 6 and 15 years of age was established according to criteria of the International Headache Society classification. Children with migraine and tension headache were examined during and between attacks. EEG mapping showed lateralized parietal diminution of alpha-power more frequently during an attack of migraine than during tension headache, which regressed between attacks. Compared to other methods, such as visual evoked potentials, EEG mapping may have the advantage of helping to diagnose each single headache, which could be useful in patients with combined headaches.

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21

Zeitlhofer, J., P. Anderer, S. Obergottsberger, et al. "Topographic mapping of EEG during sleep." Brain Topography 6, no. 2 (1993): 123–29. http://dx.doi.org/10.1007/bf01191077.

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22

Nagata, Ken. "Topographic EEG mapping in cerebrovascular disease." Brain Topography 2, no. 1-2 (1989): 119–28. http://dx.doi.org/10.1007/bf01128849.

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23

Collura, T. F., H. L�ders, and R. C. Burgess. "EEG mapping for surgery of epilepsy." Brain Topography 3, no. 1 (1990): 65–77. http://dx.doi.org/10.1007/bf01128863.

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24

Skrandies, Wolfgang. "First german EEG/EP mapping meeting." Brain Topography 5, no. 3 (1993): 289–95. http://dx.doi.org/10.1007/bf01128996.

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25

Lehmann, Dietrich. "First swiss EEG-EP mapping meeting." Brain Topography 1, no. 2 (1988): 131–34. http://dx.doi.org/10.1007/bf01129178.

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26

Brandeis, Daniel, and Christoph M. Michel. "Third swiss EEG-EP mapping meeting." Brain Topography 3, no. 2 (1990): 349–55. http://dx.doi.org/10.1007/bf01135444.

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27

Skrandies, Wolfgang. "Second German EEG/EP Mapping Meeting." Brain Topography 6, no. 3 (1994): 245–53. http://dx.doi.org/10.1007/bf01187716.

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28

Orme-Johnson, David W., and Paul Gelderloos. "Topographic EEG Brain Mapping During Yogic Flying." International Journal of Neuroscience 38, no. 3-4 (1988): 427–34. http://dx.doi.org/10.3109/00207458808990703.

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29

Jerrett, Steven A., and John Corsak. "Clinical Utility of Topographic EEG Brain Mapping." Clinical Electroencephalography 19, no. 3 (1988): 134–43. http://dx.doi.org/10.1177/155005948801900307.

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30

Logar, Ch, W. Freidl, and H. Lechner. "Wert des EEG-Mapping bei intrazerebralen Hämatomen." Klinische Neurophysiologie 23, no. 02 (1992): 105–7. http://dx.doi.org/10.1055/s-2008-1060710.

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31

Sharbrough, Frank W., Terrence D. Lagerlund, Barbara F. Westmoreland, and Neil E. Busacker. "TIME-FREQUENCY MAPPING OF ENDARTERECTOMY EEG PATTERNS." Journal of Clinical Neurophysiology 14, no. 5 (1997): 446. http://dx.doi.org/10.1097/00004691-199709000-00021.

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32

Delamónica, E. "Quantitative EEG mapping in amyotrophic lateral sclerosis." Electroencephalography and Clinical Neurophysiology 103, no. 1 (1997): 81–82. http://dx.doi.org/10.1016/s0013-4694(97)88321-x.

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33

Crevecoeur, G., H. Hallez, P. Van Hese, Y. D’Asseler, L. Dupré, and R. Van de Walle. "EEG source analysis using space mapping techniques." Journal of Computational and Applied Mathematics 215, no. 2 (2008): 339–47. http://dx.doi.org/10.1016/j.cam.2006.03.058.

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34

Arya, Ravindra, Brian Ervin, Timothy Holloway, et al. "Electrical stimulation sensorimotor mapping with stereo-EEG." Clinical Neurophysiology 131, no. 8 (2020): 1691–701. http://dx.doi.org/10.1016/j.clinph.2020.04.159.

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35

Sachs, Gabriele, Peter Anderer, Karl Dantendorfer, and Bernd Saletu. "EEG mapping in patients with social phobia." Psychiatry Research: Neuroimaging 131, no. 3 (2004): 237–47. http://dx.doi.org/10.1016/j.pscychresns.2003.08.007.

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36

Britton, Jeffrey W. "Electrical Stimulation Mapping With Stereo-EEG Electrodes." Journal of Clinical Neurophysiology 35, no. 2 (2018): 110–14. http://dx.doi.org/10.1097/wnp.0000000000000443.

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37

Lehmann, D. "Principles of EEG mapping and map analysis." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S81. http://dx.doi.org/10.1016/0013-4694(90)92013-m.

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38

Nagata, K. "EEG mapping in vascular disorders and stroke." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S101—S102. http://dx.doi.org/10.1016/0013-4694(90)92086-c.

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39

Hammond, E. J., S. A. Mohammed, and B. J. Wilder. "Colour topographic EEG mapping in drug research." Electroencephalography and Clinical Neurophysiology 61, no. 3 (1985): S230. http://dx.doi.org/10.1016/0013-4694(85)90870-3.

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40

Jacobs, Gregg D., Herbert Benson, and Richard Friedman. "Topographic EEG mapping of the relaxation response." Biofeedback and Self-Regulation 21, no. 2 (1996): 121–29. http://dx.doi.org/10.1007/bf02284691.

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41

Heinonen, Tomi, Antti Lahtinen, and Veikko Häkkinen. "Implementation of Three-Dimensional EEG Brain Mapping." Computers and Biomedical Research 32, no. 2 (1999): 123–31. http://dx.doi.org/10.1006/cbmr.1998.1503.

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42

Abdi-Sargezeh, Bahman, Sepehr Shirani, Antonio Valentin, Gonzalo Alarcon, and Saeid Sanei. "EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks." Sensors 25, no. 2 (2025): 494. https://doi.org/10.3390/s25020494.

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A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain. The model is based on a GAN structure in which a conditional GAN (cGAN) is combined with a variational autoencoder (VAE), named as VAE-cGAN. scEEG sensors are plagued by noise and suffer from low resolution. On the other hand, iEEG sensor recordings enjoy high resolution. Here, we consider the task of mapping the scEEG sensor information to iEEG sensors to enhance the scEEG resolution. In this study, our EEG data contain epileptic interictal epileptiform discharges (IEDs). The identification of IEDs is crucial in clinical practice. Here, the proposed VAE-cGAN is firstly employed to map the scEEG to iEEG. Then, the IEDs are detected from the resulting iEEG. Our model achieves a classification accuracy of 76%, an increase of, respectively, 11%, 8%, and 3% over the previously proposed least-square regression, asymmetric autoencoder, and asymmetric–symmetric autoencoder mapping models.

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43

Saletu, Bernd. "L-11 Quantitatively analyzed EEG/EEG mapping in diagnosis and treatment of dementias." Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control 97, no. 4 (1995): S5—S6. http://dx.doi.org/10.1016/0924-980x(95)92439-s.

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44

Miandad, Javed, Margaret M. Darrow, Michael D. Hendricks, and Ronald P. Daanen. "Landslide Mapping Using Multiscale LiDAR Digital Elevation Models." Environmental and Engineering Geoscience 26, no. 4 (2020): 405–25. http://dx.doi.org/10.2113/eeg-2268.

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ABSTRACT This study presents a new methodology to identify landslide and landslide-susceptible locations in Interior Alaska using only geomorphic properties from light detection and ranging (LiDAR) derivatives (i.e., slope, profile curvature, and roughness) and the normalized difference vegetation index (NDVI), focusing on the effect of different resolutions of LiDAR images. We developed a semi-automated object-oriented image classification approach in ArcGIS 10.5 and prepared a landslide inventory from visual observation of hillshade images. The multistage work flow included combining derivatives from 1-, 2.5-, and 5-m-resolution LiDAR, image segmentation, image classification using a support vector machine classifier, and image generalization to clean false positives. We assessed classification accuracy by generating confusion matrix tables. Analysis of the results indicated that LiDAR image scale played an important role in the classification, and the use of NDVI generated better results. Overall, the LiDAR 5-m-resolution image with NDVI generated the best results with a kappa value of 0.55 and an overall accuracy of 83 percent. The LiDAR 1-m-resolution image with NDVI generated the highest producer accuracy of 73 percent in identifying landslide locations. We produced a combined overlay map by summing the individual classified maps that was able to delineate landslide objects better than the individual maps. The combined classified map from 1-, 2.5-, and 5-m-resolution LiDAR with NDVI generated producer accuracies of 60, 80, and 86 percent and user accuracies of 39, 51, and 98 percent for landslide, landslide-susceptible, and stable locations, respectively, with an overall accuracy of 84 percent and a kappa value of 0.58. This semi-automated object-oriented image classification approach demonstrated potential as a viable tool with further refinement and/or in combination with additional data sources.

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45

Hutchinson, Peter J., Alexander Balog, and Shad E. Hoover. "Microgravity Mapping of an Inception Doline Shaft System." Environmental and Engineering Geoscience 26, no. 2 (2020): 217–25. http://dx.doi.org/10.2113/eeg-2294.

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ABSTRACT Reactivation of an inception doline shaft system through anthropogenic actions, precipitation, and possibly seismic activity induced subsidence in a hospital emergency room that was under construction in State College, PA. The convergence of Tropical Storm Lee and Hurricane Irene is interpreted to have caused the building's brick edifice to fall and induce vertical shifts in the reinforced concrete entrance floor slab. Microgravity mapping of the existing hospital emergency room entrance; the emergency room building under construction; and the parking lot in front of the emergency room entrance documented the presence of a doline shaft system (i.e., inter-connected sinkhole). Groundwork for the construction of the new emergency room included grading and leveling of the property. Surface water runoff entered the construction site from a parking lot that sloped toward the addition and to a non-functioning stormwater inlet. The grading for the new construction exposed an open fracture for surface runoff. Subsequent channeling of surface water to the conduit provided drainage for surface runoff, but it also initiated subsidence throughout the existing structure and the addition that was under construction. Engineering rehabilitation included a limited mobility (LM) grout program to plug subsoil fracture karren drainage systems and stabilize the surface. Drilling progressed in four stages, initially focusing on areas of greatest subsidence. In total, 60 injection points were completed to a mean depth of 24 m below grade in an area measuring approximately 370 m2. During LM grouting, 867 m3 of a sand-and-cement grout mixture were injected to stabilize the area.

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46

Elian, M. "Topographic Brain Mapping of EEG and Evoked Potentials." Journal of Neurology, Neurosurgery & Psychiatry 52, no. 11 (1989): 1324–25. http://dx.doi.org/10.1136/jnnp.52.11.1324-a.

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47

Nowack, MD, W. J. "Topographic Brain Mapping of EEG and Evoked Potentials." Neurology 40, no. 11 (1990): 1806. http://dx.doi.org/10.1212/wnl.40.11.1806-c.

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48

SALETU, B., P. ANDERER, J. GRÜNBERGER, P. K. FISCHHOF, L. WICKE, and A. NEUHOLD. "EEG MAPPING IN DEMENTIA AND NOOTROPIC DRUG RESEARCH." Clinical Neuropharmacology 15 (1992): 418A—419A. http://dx.doi.org/10.1097/00002826-199201001-00218.

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49

Luthringer, R., and J. P. Macher. "EEG AND EPs MAPPING TECHNIQUES APPLIED TO PSYCHOPHARMACOLOGY." Clinical Neuropharmacology 15 (1992): 151B. http://dx.doi.org/10.1097/00002826-199202001-00291.

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50

Logar, Ch. "Die Bedeutung des EEG-Mapping bei vaskulärer Epilepsie." Klinische Neurophysiologie 24, no. 04 (1993): 286–90. http://dx.doi.org/10.1055/s-2008-1060303.

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