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Journal articles on the topic 'Electroencephalographic correlates'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Kolbeinsson, H., and H. Pétursson. "Electroencephalographic correlates of electroconvulsive therapy." Acta Psychiatrica Scandinavica 78, no. 2 (1988): 162–68. http://dx.doi.org/10.1111/j.1600-0447.1988.tb06316.x.

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2

Sterman, M. B., C. A. Mann, H. R. Eriksen, M. Olff, and H. Ursin. "Electroencephalographic Correlates of Psychological Defense." Proceedings of the Human Factors Society Annual Meeting 36, no. 1 (1992): 76–80. http://dx.doi.org/10.1177/154193129203600119.

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The Kragh tachistoscopic method for measuring psychological defense mechanisms (“Defense Mechanism Test” - DMT) has been claimed to be valid for selection of personnel for really dangerous tasks. The method consists of presenting a stimulus picture at initial exposure times that are too short for perception. To test whether this perceptual disturbance arises from an aberrant cognitive response to the situation, we studied the magnitude, topographic distribution, and temporal modulation of spectral density in the 8–12 Hz EEG frequency band during DMT testing in 22 male and 2 female active duty

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3

Stancák, Andrej, Daniel Pfeffer, Ludmila Hrudová, Pavel Sovka, and Ctibor Dostálek. "Electroencephalographic correlates of paced breathing." NeuroReport 4, no. 6 (1993): 723–26. http://dx.doi.org/10.1097/00001756-199306000-00031.

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4

Lukas, Scott E., Jack H. Mendelson, and Richard Benedikt. "Electroencephalographic correlates of marihuana-induced euphoria." Drug and Alcohol Dependence 37, no. 2 (1995): 131–40. http://dx.doi.org/10.1016/0376-8716(94)01067-u.

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5

Decker, Michael J., Humyra Tabassum, Jin-Mann S. Lin, and William C. Reeves. "Electroencephalographic correlates of Chronic Fatigue Syndrome." Behavioral and Brain Functions 5, no. 1 (2009): 43. http://dx.doi.org/10.1186/1744-9081-5-43.

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6

RIESGO, RUDIMAR DOS SANTOS, PRASANNA JAYAKAR, and NEWRA TELLECHEA ROTTA. "Benign rolandic epilepsy: clinical and electroencephalographic correlates." Arquivos de Neuro-Psiquiatria 58, no. 3B (2000): 852–61. http://dx.doi.org/10.1590/s0004-282x2000000500010.

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Benign rolandic epilepsy (BRE) is known for its dissociation from structural alterations. Nevertheless, the number of cases with reported organic lesions has been increasing. This led to the creation of two subgroups, "benign" and "non benign" BRE, and resulted in the need for additional parameters to define electrographic benignity. We assessed the possible associations between interictal electroencephalographic findings and clinical behavior in 60 BRE cases, testing four parameters of electrographic benignity (paroxysm morphology, horizontal dipole, base rhythms, laterality of rolandic spike

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7

Ulam, Fred, Paul Thomlinson, Rodney Quinn, Todd Smith, and Teresa Tempelmeyer. "Quantitative Electroencephalographic Correlates of Post-Stroke Depression." Journal of Neurotherapy 3, no. 1 (1998): 1–8. http://dx.doi.org/10.1300/j184v03n01_01.

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8

Radhakrishnan, Kurupath, Doney Chandy, Girish Menon, and Sankara Sarma. "Clinical and Electroencephalographic Correlates of Breach Activity." American Journal of Electroneurodiagnostic Technology 39, no. 3 (1999): 138–47. http://dx.doi.org/10.1080/1086508x.1999.11079261.

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9

Krigolson, Olav E., Clay B. Holroyd, Geraldine Van Gyn, and Mathew Heath. "Electroencephalographic correlates of target and outcome errors." Experimental Brain Research 190, no. 4 (2008): 401–11. http://dx.doi.org/10.1007/s00221-008-1482-x.

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10

DeLosAngeles, Dylan, Graham Williams, John Burston, et al. "Electroencephalographic correlates of states of concentrative meditation." International Journal of Psychophysiology 110 (December 2016): 27–39. http://dx.doi.org/10.1016/j.ijpsycho.2016.09.020.

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11

Sutter, Raoul, and Peter W. Kaplan. "Clinical and Electroencephalographic Correlates of Acute Encephalopathy." Journal of Clinical Neurophysiology 30, no. 5 (2013): 443–53. http://dx.doi.org/10.1097/wnp.0b013e3182a73bc2.

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12

Andrews, P. Ian, James O. McNamara, and Danell V. Lewis. "Clinical and Electroencephalographic Correlates in Rasmussen's Encephalitis." Epilepsia 38, no. 2 (1997): 189–94. http://dx.doi.org/10.1111/j.1528-1157.1997.tb01096.x.

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13

Kosonogov, V. V., I. Ntoumanis, G. Hajiyeva, and I. Jaaskelainen. "Emotion regulation: a study of electroencephalographic correlates." Genes & Cells 18, no. 4 (2023): 618–21. http://dx.doi.org/10.17816/gc623335.

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Effective emotion regulation is associated with improved subjective well-being, mental health, and social goal attainment. Poor psychosocial well-being, depression, and psychiatric disorders are often associated with the inability to regulate emotions. Cognitive reappraisal, which focuses on events, and expressive suppression, which is reaction-oriented, have both garnered significant attention in psychophysiological studies as effective strategies for emotion regulation. Cognitive reappraisal focuses on changing the meaning of a situation, while suppression occurs later in the emotional exper

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14

Caviness, John N., Thomas G. Beach, Joseph G. Hentz, Holly A. Shill, Erika D. Driver-Dunckley, and Charles H. Adler. "Association Between Pathology and Electroencephalographic Activity in Parkinson’s Disease." Clinical EEG and Neuroscience 49, no. 5 (2017): 321–27. http://dx.doi.org/10.1177/1550059417696179.

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Introduction. The key mechanisms that connect Parkinson’s disease pathology with dementia are unclear. We tested the hypothesis that the quantitative spectral electroencephalographic measure, delta bandpower, correlates with Lewy type synucleinopathy on pathological examination in Parkinson’s disease. As a corollary hypothesis, we analyzed whether there would be delta bandpower electroencephalographic differences between Parkinson’s disease dementia cases with and without pathological criteria for Alzheimer’s disease. Methods. We used pathological examination results from 44 Parkinson’s diseas

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15

Makarec, K., and M. A. Persinger. "Electroencephalographic Correlates of Temporal Lobe Signs and Imaginings." Perceptual and Motor Skills 64, no. 3_suppl (1987): 1124–26. http://dx.doi.org/10.2466/pms.1987.64.3c.1124.

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Significant correlations (0.50) were observed again between scores for the Wilson-Barber Inventory of Childhood Memories and Imaginings and the numbers of experiences that are indicative of temporal lobe lability. In addition, positive correlations (0.42) occurred between temporal lobe EEG measures (scalp electrodes) and numbers of temporal lobe signs. The numbers of alpha seconds per minute from the occipital lobes were correlated (0.57) with the Wilson-Barber cluster that indicated interests in “altered states”. Scores on the childhood imaginings section of the Wilson-Barber Inventory were c

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16

Chambers, Tony. "Waveform Window #28: Electroencephalographic Correlates of Clinical Conditions." Neurodiagnostic Journal 54, no. 4 (2014): 373–75. http://dx.doi.org/10.1080/21646821.2014.11106820.

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17

Wolkowitz, Owen M., Richard Coppola, Alan Breier, et al. "Quantitative Electroencephalographic Correlates of Steroid Administration in Man." Neuropsychobiology 27, no. 4 (1993): 224–30. http://dx.doi.org/10.1159/000118985.

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18

Angelakis, Efthymios, Joel F. Lubar, and Stamatina Stathopoulou. "Electroencephalographic peak alpha frequency correlates of cognitive traits." Neuroscience Letters 371, no. 1 (2004): 60–63. http://dx.doi.org/10.1016/j.neulet.2004.08.041.

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19

Gustafsson, H. C., P. G. Grieve, E. A. Werner, P. Desai, and C. Monk. "Newborn electroencephalographic correlates of maternal prenatal depressive symptoms." Journal of Developmental Origins of Health and Disease 9, no. 4 (2018): 381–85. http://dx.doi.org/10.1017/s2040174418000089.

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AbstractMaternal perinatal depression exerts pervasive effects on the developing brain, as evidenced by electroencephalographic (EEG) patterns that differ between children of women who do and do not meet DSM or ICD diagnostic criteria. However, little research has examined if the same EEG pattern of right-frontal alpha asymmetry exists in newborns and thus originates in utero independent of postnatal influences, and if depressive symptoms are associated with this neural signature. Utilizing 125-lead EEG (n=18), this study considered clinician-rated maternal prenatal depressive symptoms in rela

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20

Pozzi, Daniel, Angel Golimstock, Ricardo Migliorelli, Alejandra Tesón, Horacio García, and Sergio Starkstein. "Quantified electroencephalographic correlates of depression in Alzheimer's disease." Biological Psychiatry 34, no. 6 (1993): 386–91. http://dx.doi.org/10.1016/0006-3223(93)90183-e.

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21

Chalia, Mayur. "S10. Clinical and electroencephalographic correlates of ictal spitting." Clinical Neurophysiology 129 (May 2018): e145-e146. http://dx.doi.org/10.1016/j.clinph.2018.04.370.

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22

Kushida, Clete A., Theodore L. Baker, and William C. Dement. "Electroencephalographic correlates of cataplectic attacks in narcoleptic canines." Electroencephalography and Clinical Neurophysiology 61, no. 1 (1985): 61–70. http://dx.doi.org/10.1016/0013-4694(85)91073-9.

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23

Prinsloo, Sarah, Elizabeth Rebello, Juan P. Cata, Dalliah Black, Sarah M. DeSnyder, and Lorenzo Cohen. "Electroencephalographic correlates of hypnosedation during breast cancer surgery." Breast Journal 25, no. 4 (2019): 786–87. http://dx.doi.org/10.1111/tbj.13328.

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24

Kramer, R. E., and P. M. Levisohn. "The “ping-pong” electroencephalographic seizure pattern: clinical correlates." Electroencephalography and Clinical Neurophysiology 95, no. 1 (1995): P10. http://dx.doi.org/10.1016/0013-4694(95)94093-t.

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25

Ranft, Andreas, Daniel Golkowski, Tobias Kiel, et al. "Neural Correlates of Sevoflurane-induced Unconsciousness Identified by Simultaneous Functional Magnetic Resonance Imaging and Electroencephalography." Anesthesiology 125, no. 5 (2016): 861–72. http://dx.doi.org/10.1097/aln.0000000000001322.

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Abstract Background The neural correlates of anesthetic-induced unconsciousness have yet to be fully elucidated. Sedative and anesthetic states induced by propofol have been studied extensively, consistently revealing a decrease of frontoparietal and thalamocortical connectivity. There is, however, less understanding of the effects of halogenated ethers on functional brain networks. Methods The authors recorded simultaneous resting-state functional magnetic resonance imaging and electroencephalography in 16 artificially ventilated volunteers during sevoflurane anesthesia at burst suppression a

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26

Basar, E., and M. Schurmann. "Alpha Rhythms in the Brain: Functional Correlates." Physiology 11, no. 2 (1996): 90–96. http://dx.doi.org/10.1152/physiologyonline.1996.11.2.90.

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Experimental evidence suggests a functional significance of electroencephalographic (EEG) alpha rhythms. Event-related, evoked, and induced alpha rhythms may have functional correates in primary sensory processing and preparatory processes. These results are in accord with the view that spontaneous and induced EEG alpha rhythms have quasi-deterministic properties.

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27

Visalli, Antonino, Mariagrazia Capizzi, Ettore Ambrosini, Bruno Kopp, and Antonino Vallesi. "Electroencephalographic correlates of temporal Bayesian belief updating and surprise." NeuroImage 231 (May 2021): 117867. http://dx.doi.org/10.1016/j.neuroimage.2021.117867.

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28

Jagannath, M., K. Adalarasu, and R. Keerthik Dhivya. "Neural correlates of guilt knowledge analysis using electroencephalographic technique." Journal of Forensic Psychiatry & Psychology 33, no. 2 (2022): 231–51. http://dx.doi.org/10.1080/14789949.2022.2042360.

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29

Lee, Sang Min, Kuk-In Jang, and Jeong-Ho Chae. "Electroencephalographic Correlates of Suicidal Ideation in the Theta Band." Clinical EEG and Neuroscience 48, no. 5 (2017): 316–21. http://dx.doi.org/10.1177/1550059417692083.

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Previous studies have indicated that the abnormalities of brain activity are associated with suicidal behavior. However, few studies have explored neurophysiologic biomarkers of suicidal ideation (SI) in healthy subjects. Here, we studied alterations of theta quantitative EEG (QEEG) in frontal regions associated with SI in young healthy subjects. Resting QEEG data were recorded from 90 young healthy subjects. The subjects were divided into two group based on Scale for Suicidal Ideation (SSI) scores: a high SSI group (n = 33) and a low SSI group (n = 57). Individual frontal electrodes (Fp1, Fp2

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30

Feige, Bernd, Klaus Scheffler, Fabrizio Esposito, Francesco Di Salle, Jürgen Hennig, and Erich Seifritz. "Cortical and Subcortical Correlates of Electroencephalographic Alpha Rhythm Modulation." Journal of Neurophysiology 93, no. 5 (2005): 2864–72. http://dx.doi.org/10.1152/jn.00721.2004.

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Neural correlates of electroencephalographic (EEG) alpha rhythm are poorly understood. Here, we related EEG alpha rhythm in awake humans to blood-oxygen-level-dependent (BOLD) signal change determined by functional magnetic resonance imaging (fMRI). Topographical EEG was recorded simultaneously with fMRI during an open versus closed eyes and an auditory stimulation versus silence condition. EEG was separated into spatial components of maximal temporal independence using independent component analysis. Alpha component amplitudes and stimulus conditions served as general linear model regressors

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31

Edwards, Amy E., Onur Guven, Michael D. Furman, Qadeer Arshad, and Adolfo M. Bronstein. "Electroencephalographic Correlates of Continuous Postural Tasks of Increasing Difficulty." Neuroscience 395 (December 2018): 35–48. http://dx.doi.org/10.1016/j.neuroscience.2018.10.040.

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32

Steriade, M., F. Amzica, and D. Contreras. "Cortical and thalamic cellular correlates of electroencephalographic burst-suppression." Electroencephalography and Clinical Neurophysiology 90, no. 1 (1994): 1–16. http://dx.doi.org/10.1016/0013-4694(94)90108-2.

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33

Astakhova, Ekaterina A., Tatyana V. Aleksandrova, and Mikhail V. Aleksandrov. "Electroencephalographic correlates of lateral dislocation in acute cerebral insufficiency." Pediatrician (St. Petersburg) 14, no. 4 (2023): 67–72. http://dx.doi.org/10.17816/ped14467-72.

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BACKGROUND: Dislocation syndrome is characterized by a displacement of the median structures in brain and is a consequence of a progressive increase in intracranial volume in vascular accidents, traumatic brain injury, and neoplasms. Lateral dislocation of the median structures leads to their gross dysfunction, as well as to compression of the cortical sections, which leads to violations of the mechanisms of generation of bioelectrical activity. In acute cerebral insufficiency in conditions of scarcity of clinical symptoms, the analysis of changes in the bioelectrical activity of the brain bec

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34

Papousek, Ilona, and Günter Schulter. "EEG Correlates of Behavioural Laterality: Ear Dominance." Perceptual and Motor Skills 94, no. 2 (2002): 355–62. http://dx.doi.org/10.2466/pms.2002.94.2.355.

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To examine whether ear dominance in a dichotic pitch-discrimination task is associated with asymmetrical activation of the two cortical hemispheres, ear dominance scores and electroencephalographic (EEG) laterality were correlated in two independent samples ( ns = 46 and 128). The results indicate that ear dominance can partly be attributed to a relatively stronger activation of the contralateral prefrontal cortex. The observed association may reflect the tendency to direct attention preferably to one ear.

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35

Lopez, O. L., J. T. Becker, R. P. Brenner, J. Rosen, O. I. Bajulaiye, and C. F. Reynolds. "Alzheimer's disease with delusions and hallucinations: Neuropsychological and electroencephalographic correlates." Neurology 41, no. 6 (1991): 906. http://dx.doi.org/10.1212/wnl.41.6.906.

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36

Dew, M. A., C. F. Reynolds, T. H. Monk, et al. "Psychosocial Correlates and Sequelae of Electroencephalographic Sleep in Healthy Elders." Journal of Gerontology 49, no. 1 (1994): P8—P18. http://dx.doi.org/10.1093/geronj/49.1.p8.

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37

Azuma, Hideki, Akiko Fujita, Kazuyuki Otsuki, et al. "Ictal Electroencephalographic Correlates of Posttreatment Neuropsychological Changes in Electroconvulsive Therapy." Journal of ECT 23, no. 3 (2007): 163–68. http://dx.doi.org/10.1097/yct.0b013e31807a2a94.

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38

Vossler, David G., Dinna L. Abson Kraemer, Robert C. Knowlton, et al. "Temporal ictal electroencephalographic frequency correlates with hippocampal atrophy and sclerosis." Annals of Neurology 43, no. 6 (1998): 756–62. http://dx.doi.org/10.1002/ana.410430610.

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39

Zubenko, G. S., R. P. Brenner, and I. Teply. "Electroencephalographic Correlates of Increased Platelet Membrane Fluidity in Alzheimer's Disease." Archives of Neurology 45, no. 9 (1988): 1009–13. http://dx.doi.org/10.1001/archneur.1988.00520330099016.

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40

Williamson, P. C., H. Merskey, S. Morrison, et al. "Quantitative Electroencephalographic Correlates of Cognitive Decline in Normal Elderly Subjects." Archives of Neurology 47, no. 11 (1990): 1185–88. http://dx.doi.org/10.1001/archneur.1990.00530110039014.

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41

Pal, Dinesh, Brian H. Silverstein, Heonsoo Lee, and George A. Mashour. "Neural Correlates of Wakefulness, Sleep, and General Anesthesia." Anesthesiology 125, no. 5 (2016): 929–42. http://dx.doi.org/10.1097/aln.0000000000001342.

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Abstract Background Significant advances have been made in our understanding of subcortical processes related to anesthetic- and sleep-induced unconsciousness, but the associated changes in cortical connectivity and cortical neurochemistry have yet to be fully clarified. Methods Male Sprague–Dawley rats were instrumented for simultaneous measurement of cortical acetylcholine and electroencephalographic indices of corticocortical connectivity—coherence and symbolic transfer entropy—before, during, and after general anesthesia (propofol, n = 11; sevoflurane, n = 13). In another group of rats (n

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42

Mina, Yair, Firas Fahoum, Sergiu Abramovici, Saar Anis, and Svetlana Kipervasser. "Clinical correlates and electroencephalographic features of FIRDA in a tertiary center." Acta Neurologica Scandinavica 140, no. 6 (2019): 405–13. http://dx.doi.org/10.1111/ane.13157.

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43

Mattia, A., K. L. Marquis, A. P. Leccese, E. E. el-Fakahany, and J. E. Moreton. "Electroencephalographic, behavioral and receptor binding correlates of phencyclinoids in the rat." Journal of Pharmacology and Experimental Therapeutics 246, no. 2 (1988): 797–802. https://doi.org/10.1016/s0022-3565(25)22166-8.

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44

Mohr, Erich, Verner Knott, Margaret Sampson, Keith Wesnes, Robert Herting та Tilak Mendis. "Cognitive and Quantified Electroencephalographic Correlates of Cycloserine Treatment in Alzheimerʼs Disease". Clinical Neuropharmacology 18, № 1 (1995): 28–38. http://dx.doi.org/10.1097/00002826-199502000-00004.

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45

Lopez, Oscar L., Richard P. Brenner, James T. Becker, Charles A. Jungreis, Donald Rezek, and Steven T. DeKosky. "Electroencephalographic Correlates of Periventricular White Matter Lesions in Probable Alzheimer’ Disease." Dementia and Geriatric Cognitive Disorders 6, no. 6 (1995): 343–47. http://dx.doi.org/10.1159/000106968.

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46

Ammirati, Fabrizio, Furio Colivicchi, Giancarlo Di Battista, Fausto Fiume Garelli, and Massimo Santini. "Electroencephalographic Correlates of Vasovagal Syncope Induced by Head-Up Tilt Testing." Stroke 29, no. 11 (1998): 2347–51. http://dx.doi.org/10.1161/01.str.29.11.2347.

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47

Buysse, Daniel J., Ellen Frank, Karen K. Lowe, Christine R. Cherry, and David J. Kupfer. "Electroencephalographic sleep correlates of episode and vulnerability to recurrence in depression." Biological Psychiatry 41, no. 4 (1997): 406–18. http://dx.doi.org/10.1016/s0006-3223(96)00041-8.

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48

Mostile, Giovanni, Alessandra Nicoletti, Valeria Dibilio, et al. "Electroencephalographic lateralization, clinical correlates and pharmacological response in untreated Parkinson's disease." Parkinsonism & Related Disorders 21, no. 8 (2015): 948–53. http://dx.doi.org/10.1016/j.parkreldis.2015.06.006.

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49

Sidorova, O. A., M. B. Kostyunina, and M. A. Kulikov. "Electroencephalographic and vegetative correlates of the mental reproduction of emotional states." Neuroscience and Behavioral Physiology 22, no. 6 (1992): 475–81. http://dx.doi.org/10.1007/bf01185437.

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50

Imperatori, Claudio, Angelo Panno, Marta Giacchini, et al. "Electroencephalographic correlates of body shape concerns: an eLORETA functional connectivity study." Cognitive Neurodynamics 14, no. 5 (2020): 723–29. http://dx.doi.org/10.1007/s11571-020-09618-1.

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