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Relevant bibliographies by topics / Analysis of brain potentials

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Academic literature on the topic 'Analysis of brain potentials'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Analysis of brain potentials"

1

Homma, S., and Y. Nakajima. "Dipole-tracing analysis of human brain potentials." Journal of Neuroscience Methods 17, no. 2-3 (August 1986): 201. http://dx.doi.org/10.1016/0165-0270(86)90088-9.

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Sirevaag, Erik J., Arthur F. Kramer, Michael G. H. Coles, and Emanuel Donchin. "Resource reciprocity: An event-related brain potentials analysis." Acta Psychologica 70, no. 1 (February 1989): 77–97. http://dx.doi.org/10.1016/0001-6918(89)90061-9.

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Popivanov, D. "Time series analysis of brain potentials preceding voluntary movements." Medical & Biological Engineering & Computing 30, no. 1 (January 1992): 9–14. http://dx.doi.org/10.1007/bf02446187.

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Oostenveld, Robert, Dick F. Stegeman, Peter Praamstra, and Adriaan van Oosterom. "Brain symmetry and topographic analysis of lateralized event-related potentials." Clinical Neurophysiology 114, no. 7 (July 2003): 1194–202. http://dx.doi.org/10.1016/s1388-2457(03)00059-2.

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Licht, Robert, H. L. Hamburger, and L. H. J. Nyens. "Topographic analysis of brain potentials in dyslexic and normal children." International Journal of Psychophysiology 25, no. 1 (January 1997): 55. http://dx.doi.org/10.1016/s0167-8760(97)85493-1.

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Thesen, Thomas, and Claire Murphy. "Reliability analysis of event-related brain potentials to olfactory stimuli." Psychophysiology 39, no. 6 (November 2002): 733–38. http://dx.doi.org/10.1111/1469-8986.3960733.

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Stone, James L., Ramsis F. Ghaly, Kodanallur S. Subramanian, Peter Roccaforte, and James Kane. "Transtentorial Brain Herniation in the Monkey: Analysis of Brain Stem Auditory and Somatosensory Evoked Potentials." Neurosurgery 26, no. 1 (January 1990): 26–31. http://dx.doi.org/10.1227/00006123-199001000-00003.

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Johnson, Ray, Kurt Kreiter, Britt Russo, and John Zhu. "A spatio-temporal analysis of recognition-related event-related brain potentials." International Journal of Psychophysiology 29, no. 1 (June 1998): 83–104. http://dx.doi.org/10.1016/s0167-8760(98)00006-3.

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Locatelli, T., L. T. Mainardi, M. Cursi, G. Comi, S. Cerutti, and A. M. Bianchi. "Event-Related Brain Potentials: Laplacian Transformation for Multichannel Time-Frequency Analysis." Methods of Information in Medicine 39, no. 02 (2000): 160–63. http://dx.doi.org/10.1055/s-0038-1634272.

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Abstract:During a visual-motor task the movement strategies and the learning processes are investigated. A group of 10 normal young volunteers underwent the experiment. The EEG signal was recorded through the 10-20 acquisition system during the execution of a task after a visual input. Each subject repeated the movement several times in three different conditions: i) without knowledge of the performance; ii) with visual feedback; iii) with knowledge of the result. The signal was transformed through Laplacian operator in order to eliminate the spurious coherence and then time-variant coherence was calculated. Different trends of the coherence function have been evidenced in subjects learning and not learning the better movement strategy. In particular, relations have been found between frontal, central and occipital electrodes in medium and high frequency ranges.

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Schramm, J., T. Mokrusch, R. Fahlbusch, and A. Hochstetter. "Detailed analysis of intraoperative changes monitoring brain stem acoustic evoked potentials." Neurosurgery 22, no. 4 (April 1988): 694???702. http://dx.doi.org/10.1097/00006123-198804000-00013.

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Dissertations / Theses on the topic "Analysis of brain potentials"

1

Alagon, J. "Discriminant analysis for time series." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375222.

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Allefeld, Carsten. "Phase synchronization analysis of event-related brain potentials in language processing." Phd thesis, [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=974114480.

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Ertan, Hayri. "The Analysis Of Auditory Evoked Brain Potentials In Recurve Archery." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608212/index.pdf.

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Archery can be described as a static sport requiring strength and endurance of the upper body, in particular the shoulder girdle (Mann, 1984
Mann &
Littke, 1989). To get a good record in an archery competition, one requires well-balanced and highly reproducible movements during the shooting (Nishizono, 1987). The bowstring is released when audible impetus is received from a device called &ldquo
clicker&rdquo
. As the fall of the clicker is an acoustic stimulus, it may evoke a sequence of potentials that can be recorded from the scalp of an archer. Auditory Evoked Potentials (AEPs) occur at different latencies and with various relations to the auditory stimuli. Therefore, the present study aims at investigating the Long-latency Auditory Evoked Potentials in Recurve Archery. Research questions can be stated briefly as follows: (1) What kind of Brain Potentials are Evoked by the Event (Fall of Clicker) during Archery Shooting? (2) Is there any significant difference between the characteristics of the potentials measured in laboratory conditions and during archery shooting? (3) Is there any significant difference between the successful and unsuccessful shots in terms of Auditory Evoked Brain Potentials? (4) Does Archery Shooting session have any effect on Auditory Evoked Brain Potentials? The subjects of the present study were 10 non-archers (N=6 males
N=4 females) for control trials and 15 archers (N=9 males
N=6 females) for archery shooting experiments. All subjects reported normal hearing, had medical histories free of significant neurological problems, and were not taking medication known to affect brain activity. Six different control paradigms have been created. Archery shootings were performed from 18 m that is official competition distance with target face.AEBPs were recorded 200 ms before and 800 ms after the trigger (fall of the clicker) over the vertex during the shots of each subject. Paradigm 1 and 5 was conducted just before and after the archery shooting to test the effect of archery shooting on AEBPs. The hit-area is defined as the rectangle between (x1, y1), (x1, y2), (x2, y1), (x2, y2) and the miss-area is the outer part of the hit-area on the target face. The preliminary analysis has shown that fall of the clicker evokes long latency auditory brain potentials with the latency of 100 msec and 200 msec. These responses are called as N1-P2 components. The means and standard deviations of both N100 and P200 amplitudes were as follows: N100 = 27,73 ±
16,82, P200 = -21,89 ±
20,46. The latencies of given brain responses were also summarized as: N100 = 141,93 ±
41,46
P200 = 211,8 ±
43,97. N1 amplitude was significantly different in archery shooting than that of control conditions (p<
0.05) except for trial 3, N1 latency was significantly different than that of trial 2 &ndash
5 (p<
0.05). P2 amplitude is significantly different in archery shooting than that of trial 6 (p<
0.05). However, there was no significant difference in terms of P2 latency between archery shooting and control conditions (p>
0.05). There was no significant difference between successful and unsuccessful shots in terms of N1-P2 components (p>
0.05). An archery shooting session did not create any difference between these components recorded before and after the shot (p>
0.05). Having higher N1 amplitudes during archery shooting can be explained by the known multi-component structure of this wave. Different lobes and regions of the brain can be active during the time of the scalp-recorded N1 and simultaneous involvement of several of these areas may be contributing to the electrical field recorded at scalp in the archery shooting paradigm.

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Reeve, Edward M. "Brain electrical activity assessment of concurrent music and event-related potential cognitive tasks /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487323583620978.

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Rüsseler, Jascha. "Implicit and explicit learning of event sequences an analysis with event-related brain potentials /." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=962401986.

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Turner, Ray William. "Action potential discharge in somata and dendrites of CA1 pyramidal neurons of mammalian hippocampus : an electrophysiological analysis." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25989.

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The electrophysiological properties of somatic and dendritic membranes of CA1 pyramidal neurons were investigated using the rat in vitro hippocampal slice preparation. A comprehensive analysis of extracellular field potentials, current-source density (CSD) and intracellular activity has served to identify the site of origin of action potential (AP) discharge in CA1 pyramidal neurons. 1) Action potential discharge of CA1 pyramidal cells was evoked by suprathreshold stimulation of the alveus (antidromic) or afferent synaptic inputs in stratum oriens (SO) or stratum radiatum (SR). Laminar profiles of the "stimulus evoked" extracellular field potentials were recorded at 25µm intervals along the dendro-somatic axis of the pyramidal cell and a 1-dimensional CSD analysis applied. 2) The shortest latency population spike response and current sink was recorded in stratum pyramidale or the proximal stratum oriens, a region corresponding to somata and axon hillocks of CA1 pyramidal neurons. A biphasic positive/negative spike potential (current source/sink) was recorded in dendritic regions, with both components increasing in peak latency through the dendritic field with distance from the border of stratum pyramidale. 3) A comparative intracellular analysis of evoked activity in somatic and dendritic membranes revealed a basic similarity in the pattern of AP discharge at all levels of the dendro-somatic axis. Stimulation of the alveus, SO, or SR evoked a single spike while injection of depolarizing current evoked a repetitive train of spikes grouped for comparative purposes into three basic patterns of AP discharge. 4) Both current and stimulus evoked intracellular spikes displayed a progressive decline in amplitude and increase in halfwidth with distance from the border of stratum pyramidale. 5) The only consistent voltage threshold for intracellular spike discharge was found in the region of the cell body, with no apparent threshold for spike activation in dendritic locations. 6) Stimulus evoked intradendritic spikes were evoked beyond the peak of the population spike recorded in stratum pyramidale, and aligned with the biphasic extradendritic field potential shown through laminar profile analysis to conduct with increasing latency from the cell body layer. The evoked characteristics of action potential discharge in CA1 pyramidal cells are interpreted to indicate the initial generation of a spike in the region of the soma-axon hillock and a subsequent retrograde spike invasion of dendritic arborizations.
Medicine, Faculty of
Cellular and Physiological Sciences, Department of
Graduate

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Kemmer, Laura. "Event-related brain potential investigations of left and right hemisphere contributions to syntactic processing." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3369000.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed September 16, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

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Weeden, Christy Samantha Star. "Neuroprotective Potential of Methamphetamine: Behavioral and Histological Analysis." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/weeden/WeedenC0507.pdf.

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Stroke is a leading cause of death and ischemic stroke is the most common form. The deficits that follow ischemic stroke include memory and learning impairment. There are presently no treatments that can combat the effects of ischemia after the attack has occurred. Immediately following insult, locomotor activity increases in rodent models. The goal of the current research is to determine if methamphetamine administration following ischemic attack will have neuroprotective effects and prevent changes in locomotor behavior that are observed following insult. Ischemic insult was induced in gerbils by clamping the carotid arteries for 5 mins. Subjects in the sham surgical condition underwent similar surgical procedures, but the carotids were not clamped. Then, subjects were assigned randomly to saline or methamphetamine (5 mg/kg) injection groups. Drug treatment was administered within 2 mins of surgery. Measures of distance traveled, average speed, and number of line crossings were evaluated. Differences in levels of locomotion during the first and second halves of testing were also evaluated. Finally, sections containing the hippocampal CA1 region were rated on a 4-point scale for level of damage. Results show that subjects in the ischemic and saline condition traveled significantly further than those in the sham conditions and ischemic and methamphetamine condition. The speed of ischemic subjects treated with saline was significantly higher than ischemic subjects that received methamphetamine and sham conditions. Also, subjects in the ischemic and saline treatment group crossed more lines than sham and ischemic animals treated with methamphetamine. Analysis of cresyl violet-stained brain sections of ischemic animals treated with saline were rated as having less neuronal cell bodies in the CA 1 region. Ischemic and methamphetamine treated subjects' sections were similar to sham and saline treatment sections. These results suggest that methamphetamine, when injected after transient ischemic attack, may provide neuroprotection from damage that occurs to the CA1 region and prevent the impairments in locomotor behavior.

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Ouyang, Guang. "Study of the variability in brain potentials and responses : development of a new method for electroencephalography (EEG) analysis - residue iteration decomposition (RIDE)." HKBU Institutional Repository, 2013. https://repository.hkbu.edu.hk/etd_ra/1529.

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Ibáñez, Soria David 1983. "Analysis of brain dynamics using echo-state networks." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663491.

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In the last decade recurrent neural networks have revolutionized the field of artificial intelligence. Their cyclic connections provide them with memory and thus with the capability of modeling processes with temporal context. Echo-state networks are a framework for recurrent neural networks that enormously simplifies their design and training. In this thesis we explore the capabilities of echo-state networks and their application in EEG feature extraction and classification problems. In a first study, we proved that such networks are capable of detecting generalized synchronization changes between two chaotic time-series. In a second study, we used echo-state networks to characterize the non-stationary nature of what has been considered so far to be a stationary brain response, namely steady-state visual evoked potentials (SSVEPs). Finally, in a third study, we successfully proposed a novel biomarker for attention deficit hyperactivity disorder (ADHD), which is capable of quantifying EEG dynamical changes between low and normal attention-arousal conditions. The results presented here demonstrate the excellent non-stationary detection capabilities of these networks, and their applicability to electrophysiological data analysis.
En la última decada las redes neuronales recurrentes han revolucionado el campo de la inteligencia artificial. Sus conexiones cíclicas les proporcionan memoria y por tanto la capacidad de modelar problemas con contexto temporal. Las redes echo-state simplifican enormemente el diseño y entrenamiento de las redes recurrentes. En esta tesis exploramos el uso de redes echo-state y su aplicación en problemas de clasificación y detección de patrones en señales EEG. En un primer estudio demostramos que son capaces de detectar cambios de sincronización generalizada entre dos series temporales caóticas. En un segundo utilizamos redes echo-state para caracterizar la no estacionaridad de un fenómeno considerado de estado estable, potenciales visuales evocados steady-sate (SSVEP). Finalmente en un tercer estudio proponemos un nuevo biomarcardor para TDAH capaz de cuantificar cambios en la dinámica de la señal EEG entre condiciones bajas y normales de excitación. Los resultados aquí presentados demuestran la excelente capacidad de detección de patrones no estacionarios de estas redes, así como su aplicabilidad en el análisis de datos electrofisiológicos.

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Books on the topic "Analysis of brain potentials"

1

Organisation of goal-directed behaviour: Development of experimental methods and analysis of chronic and acute effects of alcohol on correlations between brain potentials. Oulu: Universitatis ouluensis, 1994.

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Başar, Erol. Brain function and oscillations. Berlin: Springer, 1998.

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Chang, Corina Yee-Mei. Analysis of infant visual evoked potentials. Ottawa: National Library of Canada, 1993.

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Schulze, Ernst-Detlef, and Helmut Zwölfer, eds. Potentials and Limitations of Ecosystem Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71630-0.

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Colin, Barber, and Blum Thomas Ph D, eds. Evoked potentials III. Boston: Butterworths, 1987.

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I, Berlin Charles, ed. Auditory evoked potentials. Austin, Tex: PRO-ED, 1986.

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Attention and brain function. Hillsdale, N.J: L. Erlbaum, 1992.

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NATO Advanced Research Workshop on Slow Potential Changes in theHuman Brain (1990 Il Ciocco, Italy). Slow potential changes in the human brain. New York: Plenum Press, in cooperation with NATO Scientific Affairs Division, 1993.

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Yap, Pew-Thian, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, and Li Shen, eds. Multimodal Brain Image Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33530-3.

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Liu, Tianming, Dinggang Shen, Luis Ibanez, and Xiaodong Tao, eds. Multimodal Brain Image Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24446-9.

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Book chapters on the topic "Analysis of brain potentials"

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Voronin, Leon L. "Quantal Analysis of Postsynaptic Potentials (Literature Review)." In Studies of Brain Function, 79–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-47615-0_8.

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Voronin, Leon L. "Quantal Analysis of Minimal Postsynaptic Potentials in Hippocampal Slices: Binomial Model." In Studies of Brain Function, 184–203. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-47615-0_14.

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Lehmann, D. "From Mapping to the Analysis and Interpretation of EEG/EP Maps." In Topographic Brain Mapping of EEG and Evoked Potentials, 53–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3_4.

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Fünfgeld, E. W. "Spectral and Frequency Analysis of the Central EEG Activity in Parkinson’s Disease Patients with Alzheimer’s Disease: The Development During Nootropic Therapy." In Topographic Brain Mapping of EEG and Evoked Potentials, 233–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3_22.

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Perrin, F., O. Bertrand, and J. Pernier. "Early Cortical Somatosensory and N1 Auditory Evoked Responses: Analysis with Potential Maps, Scalp Current Density Maps and Three-Concentric-Shell Head Models." In Topographic Brain Mapping of EEG and Evoked Potentials, 390–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3_44.

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Roy, Shidhartho, Monira Islam, Md Salah Uddin Yusuf, and Tanbin Islam Rohan. "Frequency Impact Analysis with Music-Evoked Stimulated Potentials on Human Brain." In Lecture Notes in Networks and Systems, 505–13. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3172-9_49.

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Congedo, Marco, Sandra Rousseau, and Christian Jutten. "An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials." In Guide to Brain-Computer Music Interfacing, 163–89. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6584-2_8.

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Thakor, Nitish V., and Xuan Kong. "Analyses of Transient and Time-Varying Evoked Potentials for Detection of Brain Injury." In Advances in Processing and Pattern Analysis of Biological Signals, 145–65. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-9098-6_11.

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Riel, Stefanie, Mohammad Bashiri, Werner Hemmert, and Siwei Bai. "Computational Models of Brain Stimulation with Tractography Analysis." In Brain and Human Body Modeling 2020, 101–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_6.

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AbstractComputational human head models have been used in studies of brain stimulation. These models have been able to provide useful information that can’t be acquired or difficult to acquire from experimental or imaging studies. However, most of these models are purely volume conductor models that overlooked the electric excitability of axons in the white matter of the brain. We hereby combined a finite element (FE) model of electroconvulsive therapy (ECT) with a whole-brain tractography analysis as well as the cable theory of neuronal excitation. We have reconstructed a whole-brain tractogram with 2000 neural fibres from diffusion-weighted magnetic resonance scans and extracted the information on electrical potential from the FE ECT model of the same head. Two different electrode placements and three different white matter conductivity settings were simulated and compared. We calculated the electric field and second spatial derivatives of the electrical potential along the fibre direction, which describes the activating function for homogenous axons, and investigated sensitive regions of white matter activation. Models with anisotropic white matter conductivity yielded the most distinctive electric field and activating function distribution. Activation was most likely to appear in regions between the electrodes where the electric potential gradient is most pronounced.

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Lao, Ka Fai, Chi Man Wong, Feng Wan, Pui In Mak, Peng Un Mak, and Mang I. Vai. "Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces." In Advances in Neural Networks – ISNN 2013, 276–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39068-5_34.

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Conference papers on the topic "Analysis of brain potentials"

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Jeong, Ji-Hoon, Min-Ho Lee, No-Sang Kwak, and Seong-Whan Lee. "Single-trial analysis of readiness potentials for lower limb exoskeleton control." In 2017 5th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2017. http://dx.doi.org/10.1109/iww-bci.2017.7858156.

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Pharande, Maitreyee, Aslam Khan, Vu Pham, Thong Le, Laurie Wellman, Richard Britten, Larry Sanford, and Hargsoon Yoon. "Analyzing functional connectivity in the brain using cross-correlation analysis of local field potentials." In Nano-, Bio-, Info-Tech Sensors and Wearable Systems, edited by Jaehwan Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2585176.

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Riyahi, Pouria, and Azim Eskandarian. "Analyzing Steady-State Visual Evoked Potentials for Effective User Response Detection for Brain-Computer Interfaces." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65592.

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This article evaluates an M-order Adaptive Kalman filter analysis on Steady-State Visual Evoked Potentials (SSVEPs). This model is based on finding the original brain source signals from their combined observed EEG signals. At each time step, observed brain signals are filtered according to their ideal reference signals measured from 10, 11, 12 and 13 Hz LED stimuli. SSVEP response detection is based on maximum Signal to Noise Ratio (SNR) of the brain source signals. In each test, the average system accuracy is calculated with and without overlapped time-windows along with system Information Transfer Rate (ITR). The overall system accuracy and ITR are showing promising level of SSVEP detection for future online BCI systems.

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Kwak, No-Sang, Dong-Ok Won, Keun-Tae Kim, Hee-Jin Park, and Seong-Whan Lee. "Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844450.

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Yang, Li, and Xue-Bing Li. "Anxiety alters brain activity of response inhibition: Evidence from event-related potentials and source current density analysis." In 2014 4th IEEE International Conference on Information Science and Technology (ICIST). IEEE, 2014. http://dx.doi.org/10.1109/icist.2014.6920355.

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Emami, Yasaman, and Coskun Bayrak. "EEG analysis of Evoked Potentials of the brain to develop a mathematical model for classifying Tinnitus datasets." In 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2017. http://dx.doi.org/10.1109/memea.2017.7985906.

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Dobriyal, Mayank, Nuri Yilmazer, and Rajab Challoo. "Performance analysis of spectral estimation techniques for steady State Visual Evoked Potentials (SSVEPs) based Brain Computer Interfaces (BCIs)." In 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2011. http://dx.doi.org/10.1109/icsmc.2011.6083635.

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Marceglia, Sara, Anna Maria Bianchi, Guglielmo Foffani, Alberto Priori, and Sergio Cerutti. "Application of higher-order spectral analysis to local field potentials recorded in patients treated with deep brain stimulation." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319649.

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Pilecheva, Adita, Sergei Isaichev, Aleksandr Chernorizov, Timothy Adamovich, Anatolii Skvortsov, and IUrii Mikadze. "STUDIES OF THE SYSTEM ORGANIZATION OF SPEECH FUNCTION BASED ON THE ANALYSIS OF AMPLITUDE-TIME PARAMETERS OF BRAIN EVENT – RELATED POTENTIALS." In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1207.sudak.ns2020-16/374-375.

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Zhang, Feng, Guang-Hua Xu, Xin Zhang, Jun Xie, Yeping Li, Chengcheng Han, Li Lili, and Jing Wang. "High-frequency combination coding-based steady-state visual evoked potential for brain computer interface." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4913191.

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Reports on the topic "Analysis of brain potentials"

1

Lopez, A., B. Roberts, D. Heimiller, N. Blair, and G. Porro. U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1047328.

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Lopez, Anthony, Billy Roberts, Donna Heimiller, Nate Blair, and Gian Porro. U.S. Renewable Energy Technical Potentials. A GIS-Based Analysis. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1219777.

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Hillyard, S., P. Johnston, and Scott Makeig. Event-Related Brain Potentials as Predictors of Target Detection Performance in a Moving Waterfall Display Simulating Passive Broad-Band Sonar Monitoring. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada280900.

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Fei, Fan, Yu Fei, Ruxiang Xu, Xiaoling Liao, Yongsheng He, Lina Hao, Zongze He, and Wentao Dong. Lapatinib with whole brain radiotherapy in breast cancer patients with brain metastases: study protocol of a systematic review and pooled analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2020. http://dx.doi.org/10.37766/inplasy2020.12.0089.

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Taylor, Paul A., John S. Ludwigsen, Corey C. Ford, and Andrei A. Vakhtin. Verification and Validation of Simulation Framework for Analysis of Traumatic Brain Injury. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1529058.

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Damasio, Hanna. Collaborative Research Developing, Testing and Validating Brain Alignment Algorithm using Geometric Analysis. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada594406.

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Mentzer, Mark A. Analysis and Design of a Photonic Biosensor for Mild Traumatic Brain Injury. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada576133.

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Zhu, Yixiang, Chengcheng Liu, Ziyi Xu, Zihua Zou, Tongji Xie, Puyuan Xing, Le Wang, and Junling Li. Front-line Therapy in Brain Metastases and Non-Brain Metastases in Advanced EGFR-mutant Non-Small Cell Lung Cancer: A Network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2020. http://dx.doi.org/10.37766/inplasy2020.10.0018.

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Sun, Yi-ming, Yu Dai, Qing Ye, Xin-ru Liu, Ran Sun, and Quan Wen. Functional Changes in the Brain of bulimia nervosa: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2021. http://dx.doi.org/10.37766/inplasy2021.3.0024.

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Pendley, Bradford D., Hector D. Abruna, John D. Norton, Wendy E. Benson, and Henry S. White. Analysis of Voltammetric Half-Wave Potentials in Low Ionic Strength Solutions and Voltammetric Measurement of Ion Impurity Concentrations. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada229774.

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