Customer Publications

zotero picThe advantages of high density EEG are well established, as evidenced by the 3017 scientific publications from labs using EGI products. Our entire library of customer publications is now accessible in the searchable Philips Neuro customer library.

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Customer Publications Q2 2018
Total of 130

Abstracts of the International Research Society on Spinal Deformities (IRSSD) Meeting 2018. (2018). Scoliosis and Spinal Disorders, 13(1), 8. https://doi.org/10.1186/s13013-018-0154-2
Alhajri, N., Hodges, N. J., Zwicker, J. G., & Virji-Babul, N. (2018). Mu Suppression Is Sensitive to Observational Practice but Results in Different Patterns of Activation in Comparison with Physical Practice. Neural Plasticity. https://doi.org/10.1155/2018/8309483
Atlan, L. S., Lan, I. S., Smith, C., & Margulies, S. S. (2018). Changes in event-related potential functional networks predict traumatic brain injury in piglets. Clinical Biomechanics. https://doi.org/10.1016/j.clinbiomech.2018.05.013
Barker, T. V., Troller‐Renfree, S. V., Bowman, L. C., Pine, D. S., & Fox, N. A. (2018). Social influences of error monitoring in adolescent girls. Psychophysiology, 0(0), e13089. https://doi.org/10.1111/psyp.13089
Bennett, S., Larkin, H., Pincham, H., Carman, S., & Fearon, P. (2018). Neural correlates of children’s emotion understanding. Developmental Neuropsychology, 43(4), 329–344. https://doi.org/10.1080/87565641.2018.1432055
Blume, C., del Giudice, R., Wislowska, M., Heib, D. P. J., & Schabus, M. (2018). Standing sentinel during human sleep: Continued evaluation of environmental stimuli in the absence of consciousness. NeuroImage, 178, 638–648. https://doi.org/10.1016/j.neuroimage.2018.05.056
Bosl, W. J., Tager-Flusberg, H., & Nelson, C. A. (2018). EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach. Scientific Reports, 8(1), 6828. https://doi.org/10.1038/s41598-018-24318-x
Bourisly, A. K., & Shuaib, A. (2018). Sex differences in electrophysiology: P200 event-related potential evidence. Translational Neuroscience, 9(1), 72–77. https://doi.org/10.1515/tnsci-2018-0013
Cardon, G., & Sharma, A. (2018). Somatosensory Cross-Modal Reorganization in Adults With Age-Related, Early-Stage Hearing Loss. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00172
Cheema, M. S. (2018). Task Relevant Source Based Brain Computer Interface: Exploration of Independent Component Analysis Based Spatial Filtering with Reliability (Master’s Thesis). State University of New York at Buffalo.
Chiarelli, A. M., Croce, P., Merla, A., & Zappasodi, F. (2018). Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification. Journal of Neural Engineering, 15(3), 036028. https://doi.org/10.1088/1741-2552/aaaf82
Chung, K., & Park, J. Y. (2018). Beyond the real world: attention debates in auditory mismatch negativity. NeuroReport, 29(6), 472–477. https://doi.org/10.1097/WNR.0000000000000999
Colás, I., Capilla, A., & Chica, A. B. (2018). Neural modulations of interference control over conscious perception. Neuropsychologia, 112, 40–49. https://doi.org/10.1016/j.neuropsychologia.2018.02.027
Courtemanche, F., Léger, P.-M., Dufresne, A., Fredette, M., Labonté-LeMoyne, É., & Sénécal, S. (2018). Physiological heatmaps: a tool for visualizing users’ emotional reactions. Multimedia Tools and Applications, 77(9), 11547–11574. https://doi.org/10.1007/s11042-017-5091-1
Crespo-Llado, M. M., Vanderwert, R. E., & Geangu, E. (2018). Individual differences in infants’ neural responses to their peers’ cry and laughter. Biological Psychology, 135, 117–127. https://doi.org/10.1016/j.biopsycho.2018.03.008
Dalla Volta, R., Avanzini, P., De Marco, D., Gentilucci, M., & Fabbri-Destro, M. (2018). From meaning to categorization: The hierarchical recruitment of brain circuits selective for action verbs. Cortex, 100, 95–110. https://doi.org/10.1016/j.cortex.2017.09.012
Daltrozzo, J., & Valdez, G. E. (2018). ENHANCING IMPLICIT LEARNING WITH POSTHYPNOTIC SUGGESTION: An ERP Study. International Journal of Clinical and Experimental Hypnosis, 66(2), 174–210. https://doi.org/10.1080/00207144.2018.1421358
Day, T. C. (2018, May 30). Brain-behavior relationships in autism spectrum disorder and typical development during an interactive social paradigm. Retrieved May 30, 2018, from https://medicine.yale.edu/lab/mcpartland/publications/Day_SfN2017_final_321279_284_15848_v1.pdf
Day, T. C., Naples, A., Lewis, B., McNaughton, K. A., Chang, S. A. A., Rolison, M. J., … McPartland, J. (2018, June). Gaze preference and underlying brain responses to dynamic eye movement in individuals with ASD across development. Retrieved from https://medicine.yale.edu/lab/mcpartland/publications/DayTalena_IMFAR2017Poster_301859_284_15848_v1.pdf
Delorme, A., Pierce, A., Michel, L., & Radin, D. (2018). Intuitive Assessment of Mortality Based on Facial Characteristics: Behavioral, Electrocortical, and Machine Learning Analyses. EXPLORE. https://doi.org/10.1016/j.explore.2017.10.011
Denke, Greg, Rawls, E., & Lamm, C. (2018). Attentional Conflict Moderates the Association Between Anxiety and Emotional Eating Behavior: An ERP Study. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00194
Denke, Gregory. (2018). Attentional Sub-Processes Involved with Emotional Eating.
Deutsch, S. I., & Raffaele, C. T. (2018). Understanding facial expressivity in autism spectrum disorder: An inside out review of the biological basis and clinical implications. Progress in Neuro-Psychopharmacology and Biological Psychiatry. https://doi.org/10.1016/j.pnpbp.2018.05.009
Dimitriadis, S. I., & Marimpis, A. D. (2018). Enhancing Performance and Bit Rates in a Brain–Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs. Frontiers in Neuroinformatics, 12. https://doi.org/10.3389/fninf.2018.00019
Doi, H., Tsumura, N., & Shinohara, K. (2018). Temporal Course of Neural Processing During Skin Color Perception: An Event-related Potential Study. In Proceedings of the 2018 International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia (pp. 26–29). New York, NY, USA: ACM. https://doi.org/10.1145/3209693.3209696
Downes, M., Kirkham, F. J., Telfer, P. T., & de Haan, M. (2018). Altered Neurophysiological Processing of Auditory Attention in Preschool Children With Sickle Cell Disease. Journal of Pediatric Psychology. https://doi.org/10.1093/jpepsy/jsx115
Driskell, S. (2018). Neurophysiological Studies of Visual Emotion Perception of Crowds (PhD Thesis). Indiana University.
Fernandes, C., Pasion, R., Gonçalves, A. R., Ferreira-Santos, F., Barbosa, F., Martins, I. P., & Marques-Teixeira, J. (2018). Age differences in neural correlates of feedback processing after economic decisions under risk. Neurobiology of Aging, 65, 51–59. https://doi.org/10.1016/j.neurobiolaging.2018.01.003
Fischer, R., Ventura-Bort, C., Hamm, A., & Weymar, M. (2018). Transcutaneous vagus nerve stimulation (tVNS) enhances conflict-triggered adjustment of cognitive control. Cognitive, Affective, & Behavioral Neuroscience. https://doi.org/10.3758/s13415-018-0596-2
Fleck, J. I., Olsen, R., Tumminia, M., DePalma, F., Berroa, J., Vrabel, A., & Miller, S. (2018). Changes in brain connectivity following exposure to bilateral eye movements. Brain and Cognition, 123, 142–153. https://doi.org/10.1016/j.bandc.2018.03.009
Fukushima, H., Tanaka, Y., & Myowa, M. (2018). Temporal Matching Between Interoception and Exteroception. Journal of Psychophysiology.
Gao, Y., Huber, C., & Sabel, B. A. (2018). Stable Microsaccades and Microsaccade-Induced Global Alpha Band Phase Reset Across the Life Span. Investigative Ophthalmology & Visual Science, 59(5), 2032–2041. https://doi.org/10.1167/iovs.17-23039
Gonçalves, A. R., Fernandes, C., Pasion, R., Ferreira-Santos, F., Barbosa, F., & Marques-Teixeira, J. (2018). Emotion identification and aging: Behavioral and neural age-related changes. Clinical Neurophysiology, 129(5), 1020–1029. https://doi.org/10.1016/j.clinph.2018.02.128
Gonçalves, Ó. F., Rêgo, G., Conde, T., Leite, J., Carvalho, S., Lapenta, O. M., & Boggio, P. S. (2018). Mind Wandering and Task-Focused Attention: ERP Correlates. Scientific Reports, 8(1), 7608. https://doi.org/10.1038/s41598-018-26028-w
Hämäläinen, J., Landi, N., Loberg, O., Lohvansuu, K., Pugh, K., & Leppänen, P. H. T. (2018). Brain event-related potentials to phoneme contrasts and their correlation to reading skills in school-age children. International Journal of Behavioral Development, 42(3), 357–372. https://doi.org/10.1177/0165025417728582
Hasegawa, H. (2018). F92. Dense array EEG utilization in outpatient clinic: 788 Cases. Clinical Neurophysiology, 129, e101. https://doi.org/10.1016/j.clinph.2018.04.255
Hassan, M., & Wendling, F. (2018). Electroencephalography Source Connectivity: Aiming for High Resolution of Brain Networks in Time and Space. IEEE Signal Processing Magazine, 35(3), 81–96. https://doi.org/10.1109/MSP.2017.2777518
Hayashi, S., Wada, H., Kim, S.-P., Motomura, Y., Higuchi, S., & Kim, Y.-K. (2018). Enhanced Nogo-P3 amplitudes of mothers compared with non-mother women during an emotional Go/Nogo task. Journal of Physiological Anthropology, 37, 8. https://doi.org/10.1186/s40101-018-0167-9
Heine, W. F., Dobrota, M.-A., Schomer, D. L., Wigton, R., & Herman, S. T. (2018). F88. Standardized naming convention for high density EEG. Clinical Neurophysiology, 129, e99–e100. https://doi.org/10.1016/j.clinph.2018.04.251
Heine, W. F., Dobrota, M.-A., Wigton, R., Schomer, D. L., & Herman, S. T. (2018). F10. Co-localization of ictal and interictal activity using high density EEG data. Clinical Neurophysiology, 129, e70. https://doi.org/10.1016/j.clinph.2018.04.173
Herzmann, G., Minor, G., & Curran, T. (2018). Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory. Cognitive, Affective, & Behavioral Neuroscience, 1–19. https://doi.org/10.3758/s13415-018-0619-z
Hong, T., Shuai, L., Frost, S. J., Landi, N., Pugh, K. R., & Shu, H. (2018). Cortical Responses to Chinese Phonemes in Preschoolers Predict Their Literacy Skills at School Age. Developmental Neuropsychology, 43(4), 356–369. https://doi.org/10.1080/87565641.2018.1439946
Hoyniak, C. P., Bates, J. E., Petersen, I. T., Yang, C.-L., Darcy, I., & Fontaine, N. M. G. (2017). Reduced neural responses to vocal fear: a potential biomarker for callous-uncaring traits in early childhood. Developmental Science, 21(4), e12608. https://doi.org/10.1111/desc.12608
Hoyniak, C. P., Bates, J. E., Petersen, I. T., Yang, C.-L., Darcy, I., & Fontaine, N. M. G. (2018). Diminished Neural Responses to Emotionally Valenced Facial Stimuli: A Potential Biomarker for Unemotional Traits in Early Childhood. Child Psychiatry & Human Development, 1–11. https://doi.org/10.1007/s10578-018-0821-9
Huang, Y., Zhang, J., Cui, Y., Yang, G., Liu, Q., & Yin, G. (2018). Sensor Level Functional Connectivity Topography Comparison Between Different References Based EEG and MEG. Frontiers in Behavioral Neuroscience, 12. https://doi.org/10.3389/fnbeh.2018.00096
Hudac, C. M. (2018). Social priming modulates the neural response to ostracism: a new exploratory approach. Social Neuroscience, 1–15. https://doi.org/10.1080/17470919.2018.1463926
Hudac, C. M., DesChamps, T. D., Arnett, A. B., Cairney, B. E., Ma, R., Webb, S. J., & Bernier, R. A. (2018). Early enhanced processing and delayed habituation to deviance sounds in autism spectrum disorder. Brain and Cognition, 123, 110–119. https://doi.org/10.1016/j.bandc.2018.03.004
Irrmischer, M., Poil, S.-S., Mansvelder, H. D., Intra, F. S., & Linkenkaer‐Hansen, K. (2018). Strong long-range temporal correlations of beta/gamma oscillations are associated with poor sustained visual attention performance. European Journal of Neuroscience, 0(0). https://doi.org/10.1111/ejn.13672
Isel, F., & Kail, M. (2018). Morphosyntactic integration in French sentence processing: Event-related brain potentials evidence. Journal of Neurolinguistics, 46, 23–36. https://doi.org/10.1016/j.jneuroling.2017.12.006
Jabr, M. M., Denke, G., Rawls, E., & Lamm, C. (2018). The Roles of Selective Attention and Desensitization in the Association Between Video Gameplay and Aggression: An ERP Investigation. Neuropsychologia, 112, 50–57. https://doi.org/10.1016/j.neuropsychologia.2018.02.026
Jäncke, L., Leipold, S., & Burkhard, A. (2018). The neural underpinnings of music listening under different attention conditions. NeuroReport, 29(7), 594–604.
Jegou, A. (2018). Electroencephalogram spindle detection from simultaneous Electroencephalogram (EEG)/functional Magnetic Resonance Imaging (fMRI) data for a sleep deprivation study (PhD Thesis). Concordia University.
Junxia, H., Jiannan, K., Gaoxiang, O., Zhen, T., Meng, D., Dan, Z., & Xiaoli, L. (2018). A study of EEG and eye tracking in children with autism. Chinese Science Bulletin, 63(15), 1464–1473. https://doi.org/10.1360/N972017-01305
Kakumanu, R. J., Nair, A. K., Venugopal, R., Sasidharan, A., Ghosh, P. K., John, J. P., … Kutty, B. M. (2018). Dissociating meditation proficiency and experience dependent EEG changes during traditional Vipassana meditation practice. Biological Psychology, 135, 65–75. https://doi.org/10.1016/j.biopsycho.2018.03.004
Karipidis, I. I., Pleisch, G., Brandeis, D., Roth, A., Röthlisberger, M., Schneebeli, M., … Brem, S. (2018). Simulating reading acquisition: The link between reading outcome and multimodal brain signatures of letter–speech sound learning in prereaders. Scientific Reports, 8(1), 7121. https://doi.org/10.1038/s41598-018-24909-8
Kiat, J. E., & Cheadle, J. E. (2018). Tick–tock goes the croc: a high-density EEG study of risk-reactivity and binge-drinking. Social Cognitive and Affective Neuroscience, 13(6), 656–663. https://doi.org/10.1093/scan/nsy038
Kiat, J. E., Long, D., & Belli, R. F. (2018). Attentional responses on an auditory oddball predict false memory susceptibility. Cognitive, Affective, & Behavioral Neuroscience, 1–15. https://doi.org/10.3758/s13415-018-0618-0
Kiran Kumar, G. R., & Reddy, M. R. (2018). Periodic component analysis as a spatial filter for SSVEP-based brain-computer interface. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2018.06.003
Kóbor, A., Honbolygó, F., Becker, A. B. C., Schild, U., Csépe, V., & Friedrich, C. K. (2018). ERP evidence for implicit L2 word stress knowledge in listeners of a fixed-stress language. International Journal of Psychophysiology, 128, 100–110. https://doi.org/10.1016/j.ijpsycho.2018.04.006
Koudelka, V., Štrobl, J., Piorecký, M., Brunovský, M., & Krajča, V. (2018). Nonlinear Dimensionality Reduction and Feature Analysis for Artifact Component Identification in hdEEG Datasets. In World Congress on Medical Physics and Biomedical Engineering 2018 (pp. 415–419). Springer, Singapore. https://doi.org/10.1007/978-981-10-9038-7_78
Kuntzelman, K., Jack Rhodes, L., Harrington, L. N., & Miskovic, V. (2018). A practical comparison of algorithms for the measurement of multiscale entropy in neural time series data. Brain and Cognition, 123, 126–135. https://doi.org/10.1016/j.bandc.2018.03.010
Lai, C., Luciani, M., Di Giorgio, C., Fiorini, R., Yaya, G., Pellicano, G. R., … Aceto, P. (2018). Brain functional connectivity of meaning attribution in patients with psychosis: Preliminary electroencephalographic observations. Schizophrenia Research. https://doi.org/10.1016/j.schres.2018.04.005
Lambert, H. M. (2018). Emotion Discrimination in Peripheral Vision (Master’s Thesis). Western Kentucky University.
Landes, I., Bakos, S., Kohls, G., Bartling, J., Schulte-Körne, G., & Greimel, E. (2018). Altered neural processing of reward and punishment in adolescents with Major Depressive Disorder. Journal of Affective Disorders, 232, 23–33. https://doi.org/10.1016/j.jad.2018.01.017
Lara, T., Molina, E., Madrid, J. A., & Correa, Á. (2018). Electroencephalographic and skin temperature indices of vigilance and inhibitory control. Psicológica Journal, (0). https://doi.org/10.2478/psicolj-2018-0010
Lee, J. Y., Park, S. M., Kim, Y. J., Kim, D. J., Choi, S.-W., Kwon, J. S., & Choi, J.-S. (2018). Resting-state EEG activity related to impulsivity in gambling disorder. Journal of Behavioral Addictions, 6(3), 387–395. https://doi.org/10.1556/2006.6.2017.055
Ludyga, S., Herrmann, C., Mücke, M., Andrä, C., Brand, S., Pühse, U., & Gerber, M. (2018). Contingent Negative Variation and Working Memory Maintenance in Adolescents with Low and High Motor Competencies. Neural Plasticity. https://doi.org/10.1155/2018/9628787
Lustenberger, C., Patel, Y. A., Alagapan, S., Page, J. M., Price, B., Boyle, M. R., & Fröhlich, F. (2018). High-density EEG characterization of brain responses to auditory rhythmic stimuli during wakefulness and NREM sleep. NeuroImage, 169, 57–68. https://doi.org/10.1016/j.neuroimage.2017.12.007
Maksimenko, V. A., Runnova, A. E., Frolov, N. S., Makarov, V. V., Nedaivozov, V., Koronovskii, A. A., … Hramov, A. E. (2018). Multiscale neural connectivity during human sensory processing in the brain. Physical Review E, 97(5), 052405.
Marino, M., Liu, Q., Del Castello, M., Corsi, C., Wenderoth, N., & Mantini, D. (2018). Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI. Brain Topography, 31(3), 337–345.
Marino, M., Liu, Q., Koudelka, V., Porcaro, C., Hlinka, J., Wenderoth, N., & Mantini, D. (2018). Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI. Scientific Reports, 8(1), 8902. https://doi.org/10.1038/s41598-018-27187-6
Markovic, A., Achermann, P., Rusterholz, T., & Tarokh, L. (2018). Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study. Scientific Reports, 8(1), 7334. https://doi.org/10.1038/s41598-018-25590-7
McGill, S., Buckley, J., Elliffe, D., & Corballis, P. M. (2018). Choice predicts the feedback negativity. Psychophysiology, 54(12), 1800–1811. https://doi.org/10.1111/psyp.12961
McTeague, L. M., Laplante, M.-C., Bulls, H. W., Shumen, J. R., Lang, P. J., & Keil, A. (2018). Face Perception in Social Anxiety: Visuocortical Dynamics Reveal Propensities for Hypervigilance or Avoidance. Biological Psychiatry, 83(7), 618–628. https://doi.org/10.1016/j.biopsych.2017.10.004
Mensen, A., Marshall, W., Sasai, S., & Tononi, G. (2018). Differentiation Analysis of Continuous Electroencephalographic Activity Triggered by Video Clip Contents. Journal of Cognitive Neuroscience, 1–11.
Michaels, T., Ly, M., Wang, L., Chen, C.-M., Molfese, P., & Burke, J. (2018). S53. Combined Resting State fMRI and EEG Investigation of Irritability. Biological Psychiatry, 83(9, Supplement), S367. https://doi.org/10.1016/j.biopsych.2018.02.944
Milyavskaya, M., Inzlicht, M., Johnson, T., & Larson, M. J. (2018). Reward sensitivity following boredom and cognitive effort: A high-powered neurophysiological investigation. Neuropsychologia. https://doi.org/10.1016/j.neuropsychologia.2018.03.033
Munjal, V., Porter, S., & Virji-Babul, N. (2018, May). Changes in Brain Network Organization in Children and Adolescents with Sports Related Concussion: 1 Year Follow Up. Retrieved from http://pal.rehab.med.ubc.ca/files/2017/12/Conference-Poster-Sept-12_PDF.pdf
Muthuraman, M., Raethjen, J., Koirala, N., Anwar, A. R., Mideksa, K. G., Elble, R., … Deuschl, G. (2018). Cerebello-cortical network fingerprints differ between essential, Parkinson’s and mimicked tremors. Brain, 141(6), 1770–1781. https://doi.org/10.1093/brain/awy098
Myers, M. H., & Kozma, R. (2018). Mesoscopic neuron population modeling of normal/epileptic brain dynamics. Cognitive Neurodynamics, 12(2), 211–223. https://doi.org/10.1007/s11571-017-9468-7
Nishimura, Y., Ikeda, Y., Suematsu, A., & Higuchi, S. (2018). Effect of visual orientation on mu suppression in children: a comparative EEG study with adults. Journal of Physiological Anthropology, 37, 16. https://doi.org/10.1186/s40101-018-0175-9
Onton, J. A., Matthews, S. C., Kang, D. Y., & Coleman, T. P. (2018). In-Home Sleep Recordings in Military Veterans With Posttraumatic Stress Disorder Reveal Less REM and Deep Sleep <1 Hz. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00196
Özkaya, Ş. N., & Yıldırım, T. (2018). Assessment of Components and Methods Used to Identify Responses and Regions of Brain Related with Face Recognition and Perception. Procedia Computer Science, 131, 38–44. https://doi.org/10.1016/j.procs.2018.04.183
Palanca, B. J. A., Maybrier, H. R., Mickle, A. M., Farber, N. B., Hogan, R. E., Trammel, E. R., … Avidan, M. S. (2018). Cognitive and Neurophysiological Recovery Following Electroconvulsive Therapy: A Study Protocol. Frontiers in Psychiatry, 9. https://doi.org/10.3389/fpsyt.2018.00171
Park, G., Lewis, R. S., Wang, Y. C., Cho, H. J., & Goto, S. G. (2018). Are you mad at me? Social anxiety and early visual processing of anger and gaze among Asian American biculturals. Culture and Brain, 1–20. https://doi.org/10.1007/s40167-018-0067-1
Pascucci, D., Hervais‐Adelman, A., & Plomp, G. (2018). Gating by induced Α–Γ asynchrony in selective attention. Human Brain Mapping, 0(0). https://doi.org/10.1002/hbm.24216
Pegna, A. J., Darque, A., Roberts, M. V., & Leek, E. C. (2018). Effects of stereoscopic disparity on early ERP components during classification of three-dimensional objects. Quarterly Journal of Experimental Psychology, 71(6), 1419–1430. https://doi.org/10.1080/17470218.2017.1333129
Perone, S., Palanisamy, J., & Carlson, S. M. (2018). Age-related change in brain rhythms from early to middle childhood: Links to executive function. Developmental Science, 0(0), e12691. https://doi.org/10.1111/desc.12691
Peter, V., Kalashnikova, M., & Burnham, D. (2018). Weighting of Amplitude and Formant Rise Time Cues by School-Aged Children: A Mismatch Negativity Study. Journal of Speech, Language, and Hearing Research, 61(5), 1322–1333. https://doi.org/10.1044/2018_JSLHR-H-17-0334
Piarulli, A., Zaccaro, A., Laurino, M., Menicucci, D., De Vito, A., Bruschini, L., … Gemignani, A. (2018). Ultra-slow mechanical stimulation of olfactory epithelium modulates consciousness by slowing cerebral rhythms in humans. Scientific Reports, 8. https://doi.org/10.1038/s41598-018-24924-9
Pickron, C. B., Iyer, A., Fava, E., & Scott, L. S. (2018). Learning to Individuate: The Specificity of Labels Differentially Impacts Infant Visual Attention. Child Development, 89(3), 698–710. https://doi.org/10.1111/cdev.13004
Pihlajamaa, S. (2018). Perustason gamma-aktivaatio autismikirjon häiriössä. Retrieved from http://tampub.uta.fi/handle/10024/103697
Pincham, H. L., Bryce, D., Fonagy, P., & Fearon, R. M. P. (2018). Psychosocial intervention in at-risk adolescents: using event-related potentials to assess changes in decision making and feedback processing. European Child & Adolescent Psychiatry, 1–14. https://doi.org/10.1007/s00787-018-1167-3
Poster Session II 8:00 a.m.-6:00 p.m. (2018). Epilepsia, 48(s6), 125–238. https://doi.org/10.1111/j.1528-1167.2007.01252_3.x
Prystauka, Y. (2018). Comprehending Events on the Fly: Inhibition and Selection during Sentence Processing.
Quercia, A., Zappasodi, F., Committeri, G., & Ferrara, M. (2018). Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00122
Reed, C. L., Garza, J. P., & Vyas, D. B. (2018). Feeling but not seeing the hand: Occluded hand position reduces the hand proximity effect in ERPs. Consciousness and Cognition. https://doi.org/10.1016/j.concog.2018.04.012
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