Analyzing Neural Time Series Data: Theory and Practice

Inefficient speech-motor control affects predictive speech comprehension: atypical electrophysiological correlates in stuttering

Gastaldon, S., Busan, P., Arcara, G., & Peressotti, F. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad004 · Cited by 23

EEG decoding for musical emotion with functional connectivity features

Xu, J., Qian, W., Hu, L., Liao, G., & Tian, Y. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105744 · Cited by 22

Theta mediated dynamics of human hippocampal-neocortical learning systems in memory formation and retrieval

Gattas, S., Larson, M. S., Mnatsakanyan, L., Sen‐Gupta, I., Vadera, S., Swindlehurst, A. L., Rapp, P. E., Lin, J. J., & Yassa, M. A. (2023) · Nature Communications · doi:10.1038/s41467-023-44011-6 · Cited by 29

Response planning in word typing: Evidence for inhibition

Pinet, S., Hamamé, C. M., Longcamp, M., et al. (2014) · Psychophysiology · doi:10.1111/psyp.12373 · Cited by 22

On the functional relationship between language and motor processing in typewriting: an EEG study

Scaltritti, M., Pinet, S., Longcamp, M., & Alario, F. ‐. (2017) · Language Cognition and Neuroscience · doi:10.1080/23273798.2017.1283427 · Cited by 21

Electroencephalographic Evidence of Altered Top–Down Attentional Modulation in Fibromyalgia Patients During a Working Memory Task

González-Villar, A. J., Pidal-Miranda, M., Arias, M., Rodríguez, D., & Carrillo‐de‐la‐Peña, M. T. (2017) · Brain Topography · doi:10.1007/s10548-017-0561-3 · Cited by 23

Individual differences in eye blink rate predict both transient and tonic pupil responses during reversal learning

Slooten, J. C. V., Jahfari, S., Knapen, T. H. J., & Theeuwes, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185665 · Cited by 23

Wave2Vec: Vectorizing Electroencephalography Bio-Signal for Prediction of Brain Disease

Kim, S., Kim, J., & Chun, H.-W. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15081750 · Cited by 22

Cognitive functions of shift workers: paramedics and firefighters – an electroencephalography study

Sumińska, S., Nowak, K., Lukomska, B., & Cygan, H. B. (2020) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2020.1773117 · Cited by 26

Exploring neural and peripheral physiological correlates of simulator sickness

Tauscher, J., Witt, A., Bosse, S., Schottky, F. W., Grogorick, S., Castillo, S., & Magnor, M. A. (2020) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1953 · Cited by 24

Atmospheric Temperature and CO2: Hen-Or-Egg Causality?

Koutsoyiannis, D., & Kundzewicz, Z. W. (2020) · Sci · doi:10.3390/sci2040083 · Cited by 25

Chunking, Conscious Processing, and EEG During Sequence Acquisition and Performance Pressure: A Comprehensive Test of Reinvestment Theory

Bellomo, E., Cooke, A., & Hardy, J. (2018) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2017-0308 · Cited by 22

Neural correlates underlying insight problem solving: Evidence from EEG alpha oscillations

Cao, Z., Li, Y., Hitchman, G., Qiu, J., & Zhang, Q. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4338-1 · Cited by 23

The Effects of Filter’s Class, Cutoff Frequencies, and Independent Component Analysis on the Amplitude of Somatosensory Evoked Potentials Recorded from Healthy Volunteers

Navid, M. S., Niazi, I. K., Lelic, D., Drewes, A. M., & Haavik, H. (2019) · Sensors · doi:10.3390/s19112610 · Cited by 22

α-Band activity tracks a two-dimensional spotlight of attention during spatial working memory maintenance

Sutterer, D., Polyn, S. M., & Woodman, G. F. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00582.2020 · Cited by 20

Power Spectrum and Connectivity Analysis in EEG Recording during Attention and Creativity Performance in Children

Mateos, D. M., Krumm, G., Filippetti, V. A., & Gutiérrez, M. (2022) · NeuroSci · doi:10.3390/neurosci3020025 · Cited by 24

Altered frontal connectivity as a mechanism for executive function deficits in fragile X syndrome

Schmitt, L., Li, J., Liu, R., Horn, P. S., Sweeney, J. A., Erickson, C. A., & Pedapati, E. V. (2022) · Molecular Autism · doi:10.1186/s13229-022-00527-0 · Cited by 21

Cross-regional coordination of activity in the human brain during autobiographical self-referential processing

Stieger, J., Pinheiro‐Chagas, P., Fang, Y., Li, J., Lusk, Z., Perry, C., Girn, M., Contreras, D., Chen, Q., Huguenard, J. R., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2316021121 · Cited by 20

Systematic Review of Single-Channel EEG-Based Drowsiness Detection Methods

Balam, V. P. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3442249 · Cited by 21

Causal Dynamics of Scalp Electroencephalography Oscillation During the Rubber Hand Illusion

Kanayama, N., Morandi, A., Hiraki, K., & Pavani, F. (2016) · Brain Topography · doi:10.1007/s10548-016-0519-x · Cited by 21

Mechanisms within the Parietal Cortex Correlate with the Benefits of Random Practice in Motor Adaptation

Thürer, B., Stockinger, C., Putze, F., Schultz, T., & Stein, T. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00403 · Cited by 19

Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: a theoretical formulation and validation

Gemignani, J., Middell, E., Barbour, R. L., Graber, H. L., & Blankertz, B. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aabb7c · Cited by 24

Assessing the relationship between pupil diameter and visuocortical activity

Thigpen, N., Bradley, M. M., & Keil, A. (2018) · Journal of Vision · doi:10.1167/18.6.7 · Cited by 21

Investigating Neural Sensorimotor Mechanisms Underlying Flight Expertise in Pilots: Preliminary Data From an EEG Study

Sestito, M., Harel, A., Nador, J., & Flach, J. M. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00489 · Cited by 21

Integration of bilateral nociceptive inputs tunes spinal and cerebral responses

Rustamov, N., Northon, S., Tessier, J., Leblond, H., & Piché, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-43567-y · Cited by 21

Cracking the Black Box: Capturing the Role of Expectation States in Status Processes

Kalkhoff, W., Melamed, D., Pollock, J., Miller, B. J., Overton, J., & Pfeiffer, M. (2019) · Social Psychology Quarterly · doi:10.1177/0190272519868988 · Cited by 21

Representation of distinct reward variables for self and other in primate lateral hypothalamus

Noritake, A., Ninomiya, T., & Isoda, M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1917156117 · Cited by 22

Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE)

Schatza, M., Blackwood, E. B., Nagrale, S. S., & Widge, A. S. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109409 · Cited by 19

Abnormally enhanced midfrontal theta activity during response monitoring in youths with obsessive-compulsive disorder

Suzuki, T., Gu, P., Grove, T. B., Hammond, T., Collins, K. M., Pamidighantam, P., Arnold, P. D., Taylor, S. F., Liu, Y., Gehring, W. J., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.10.020 · Cited by 20

Effects of acute psychosocial stress on source level EEG power and functional connectivity measures

Vanhollebeke, G., Kappen, M., Raedt, R. D., Baeken, C., van Mierlo, P., & Vanderhasselt, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-35808-y · Cited by 21

The effect of painful laser stimuli on EEG gamma-band activity in migraine patients and healthy controls

Bassez, I., Ricci, K., Vecchio, E., Delussi, M. D., Gentile, E., Marinazzo, D., & de Tommaso, M. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.04.157 · Cited by 20

Mesoscopic-scale functional networks in the primate amygdala

Morrow, J. K., Cohen, M. X., & Gothard, K. M. (2020) · eLife · doi:10.7554/elife.57341 · Cited by 19

Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power

Desantis, A., Chan-Hon-Tong, A., Collins, T., et al. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.570419 · Cited by 20

EEG power spectral dynamics associated with listening in adverse conditions

Wisniewski, M. G., Zakrzewski, A. C., Bell, D. R., & Wheeler, M. (2021) · Psychophysiology · doi:10.1111/psyp.13877 · Cited by 20

Cold-Blooded and on Purpose: A Review of the Biology of Proactive Aggression

Belfry, K. D., & Kolla, N. J. (2021) · Brain Sciences · doi:10.3390/brainsci11111412 · Cited by 25

Midfrontal theta oscillations and conflict monitoring in children and adults

Chevalier, N., Hadley, L. V., & Balthrop, K. (2021) · Developmental Psychobiology · doi:10.1002/dev.22216 · Cited by 19

EEG-Microstates Reflect Auditory Distraction After Attentive Audiovisual Perception Recruitment of Cognitive Control Networks

Korn, U., Krylova, M., Heck, K. L., Häußinger, F. B., Stark, R. S., Alizadeh, S., Jamalabadi, H., Walter, M., Galuske, R. A. W., & Munk, M. H. J. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.751226 · Cited by 23

Geometric learning of functional brain network on the correlation manifold

You, K., & Park, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-21376-0 · Cited by 23

Development of auditory change‐detection and attentional capture, and their relation to inhibitory control

Morales, S., Bowers, M. E., Leach, S. C., Buzzell, G. A., McSweeney, M., Yoder, L., Fifer, W. P., Elliott, A., & Fox, N. A. (2022) · Psychophysiology · doi:10.1111/psyp.14211 · Cited by 25

Cortical, muscular, and kinetic activity underpinning attentional focus strategies during visuomotor control

Parr, J. V. V., Gallicchio, G., Canales‐Johnson, A., Uiga, L., & Wood, G. (2023) · Psychophysiology · doi:10.1111/psyp.14249 · Cited by 21

An EEG-based Experiment on VR Sickness and Postural Instability While Walking in Virtual Environments

Cortes, C., Lin, C., Do, T., et al. (2023) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr55154.2023.00025 · Cited by 20

Slope of the power spectral density flattens at low frequencies (<150 Hz) with healthy aging but also steepens at higher frequency (>200 Hz) in human electroencephalogram

Aggarwal, S., & Ray, S. (2023) · Cerebral Cortex Communications · doi:10.1093/texcom/tgad011 · Cited by 23

Static and dynamic fMRI-derived functional connectomes represent largely similar information

Matkovič, A., Anticevic, A., Murray, J. D., & Repovš, G. (2023) · Network Neuroscience · doi:10.1162/netn_a_00325 · Cited by 20

Intra- and inter-brain synchrony oscillations underlying social adjustment

Vicente, U., Ara, A., & Marco‐Pallarés, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-38292-6 · Cited by 26

A tutorial on fitting joint models of M/EEG and behavior to understand cognition

Nunez, M. D., Fernandez, K. A., Srinivasan, R., & Vandekerckhove, J. (2024) · Behavior Research Methods · doi:10.3758/s13428-023-02331-x · Cited by 28

Neural assemblies coordinated by cortical waves are associated with waking and hallucinatory brain states

Aggarwal, A., Luo, J., Chung, H., Contreras, D., Kelz, M. B., & Proekt, A. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114017 · Cited by 22

CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification

Liao, L., Lu, J., Wang, L., Zhang, Y., Gao, D., & Wang, M. (2024) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-024-03138-4 · Cited by 20

Electroencephalography (EEG) Measures of Neural Connectivity in the Assessment of Brain Responses to Salient Auditory Stimuli in Patients with Disorders of Consciousness

Lord, V., & Opacka‐Juffry, J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00397 · Cited by 20

BDNF as a possible modulator of EEG oscillatory response at the parietal cortex during visuo-tactile integration processes using a rubber hand

Hiramoto, R., Kanayama, N., Nakao, T., Matsumoto, T., Konishi, H., Sakurai, S., Okada, G., Okamoto, Y., & Yamawaki, S. (2017) · Neuroscience Research · doi:10.1016/j.neures.2017.05.006 · Cited by 20

Interhemispheric connectivity during lateralized lexical decision

Chu, R., & Meltzer, J. A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24414 · Cited by 21

Dimensions of anxiety and depression and neurophysiological indicators of error‐monitoring: Relationship with delta and theta oscillatory power and error‐related negativity amplitude

Muir, A. M., Hedges‐Muncy, A., Clawson, A., Carbine, K. A., & Larson, M. J. (2020) · Psychophysiology · doi:10.1111/psyp.13595 · Cited by 19

EEG-based Identification of Evidence Accumulation Stages in Decision-Making

Berberyan, H. S., van Maanen, L., van Rijn, H., & Borst, J. P. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01663 · Cited by 19

Combination of Group Singular Value Decomposition and eLORETA Identifies Human EEG Networks and Responses to Transcranial Photobiomodulation

Wang, X., Wanniarachchi, H. I., Wu, A., & Liu, H. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.853909 · Cited by 20

Characterizing synchrony patterns across cognitive task stages of associative recognition memory

Portoles, O., Borst, J. P., & van Vugt, M. K. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13817 · Cited by 19

Automatic classification of ICA components from infant EEG using MARAPreprint

Haresign, I. M., Phillips, E., Whitehorn, M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.22.427809 · Cited by 20

Anticipation-induced delta phase reset improves human olfactory perception

Arabkheradmand, G., Zhou, G., Noto, T., Yang, Q., Schuele, S., Parvizi, J., Gottfried, J. A., Wu, S., Rosenow, J. M., Koubeissi, M. Z., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000724 · Cited by 19

Acoustically evoked K-complexes together with sleep spindles boost verbal declarative memory consolidation in healthy adults

Leach, S., Krugliakova, E., Sousouri, G., Snipes, S., Skoručak, J., Schühle, S., Müller, M., Ferster, M. L., Poian, G. D., Karlen, W., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-67701-7 · Cited by 19

EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation

Sarisik, E., Popovic, D., Keeser, D., Khuntia, A. T., Schiltz, K., Falkai, P., Pogarell, O. M., & Koutsouleris, N. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae150 · Cited by 24

The influence of a walk in nature on human resting brain activity: a randomized controlled trial

McDonnell, A. S., & Strayer, D. L. (2024) · Scientific Reports · doi:10.1038/s41598-024-78508-x · Cited by 26

Exploring EEG resting state differences in autism: sparse findings from a large cohort

Dede, A. J. O., Xiao, W., Vaci, N., Cohen, M. X., & Milne, E. (2025) · Molecular Autism · doi:10.1186/s13229-025-00647-3 · Cited by 23

Towards Real-Time, Continuous Decoding of Gripping Force From Deep Brain Local Field Potentials

Shah, S. A., Tan, H., Tinkhauser, G., & Brown, P. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2837500 · Cited by 18

Physiological and self-report measures in emotion studies: Methodological considerations

Korpal, P., & Jankowiak, K. (2019) · Polish Psychological Bulletin · doi:10.24425/124345 · Cited by 19

The Automatic Detection of Cognition Using EEG and Facial Expressions

Kerdawy, M. E., Halaby, M. E., Hassan, A., Maher, M., Fayed, H. A., Shawky, D., & Badawi, A. (2020) · Sensors · doi:10.3390/s20123516 · Cited by 19

Electrophysiological investigation of the contribution of attention to altered pain inhibition processes in patients with irritable bowel syndrome

Rustamov, N., Wagenaar-Tison, A., Doyer, E., & Piché, M. (2020) · The Journal of Physiological Sciences · doi:10.1186/s12576-020-00774-x · Cited by 20

Narrowband multivariate source separation for semi-blind discovery of experiment contrasts

Zuure, M. B., & Cohen, M. X. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.109063 · Cited by 19

A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals

Shan, X., Huo, S., Yang, L., Cao, J. H., Zou, J., Chen, L., Sarrigiannis, P. G., & Zhao, Y. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3076311 · Cited by 19

Two sides of the same coin: adaptation of BCIs to internal states with user-centered design and electrophysiological features

Han, Y., Ziebell, P., Riccio, A., & Halder, S. (2022) · Brain-Computer Interfaces · doi:10.1080/2326263x.2022.2041294 · Cited by 19

EEG time–frequency analysis reveals blunted tendency to approach and increased processing of unpleasant stimuli in dysphoria

Dell’Acqua, C., Bò, E. D., Moretta, T., Palomba, D., & Benvenuti, S. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-12263-9 · Cited by 20

Action experience in infancy predicts visual‐motor functional connectivity during action anticipation

Colomer, M., Chung, H., Meyer, M., Debnath, R., Morales, S., Fox, N. A., & Woodward, A. L. (2022) · Developmental Science · doi:10.1111/desc.13339 · Cited by 23

Combined EEG and immersive virtual reality unveil dopaminergic modulation of error monitoring in Parkinson’s Disease

Pezzetta, R., Özkan, D. G., Era, V., Tieri, G., Zabberoni, S., Taglieri, S., da Costa, A. L. C., Peppe, A., Caltagirone, C., & Aglioti, S. M. (2023) · npj Parkinson s Disease · doi:10.1038/s41531-022-00441-5 · Cited by 19

Resting state electroencephalography power correlates with individual differences in implicit sequence learning

Lum, J. A. G., Byrne, L. K., Barhoun, P., Hyde, C. E., Hill, A. T., Enticott, P. G., & Clark, G. M. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16059 · Cited by 18

Cerebellar EEG source localization reveals age‐related compensatory activity moderated by genetic risk for Alzheimer's disease

Paitel, E. R., & Nielson, K. A. (2023) · Psychophysiology · doi:10.1111/psyp.14395 · Cited by 20

Predicting neurologic recovery after severe acute brain injury using resting-state networks

Kolisnyk, M., Kazazian, K., Rego, K., Junior, S. L. N., Wild, C. J., Gofton, T. E., Debicki, D., Owen, A. M., & Norton, L. E. (2023) · Journal of Neurology · doi:10.1007/s00415-023-11941-6 · Cited by 22

Assessing focus through ear-EEG: a comparative study between conventional cap EEG and mobile in- and around-the-ear EEG systems

Crétot-Richert, G., Vos, M. D., Debener, S., Bleichner, M. G., & Voix, J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.895094 · Cited by 24

Multimodal Polysomnography-Based Automatic Sleep Stage Classification via Multiview Fusion Network

Lin, Y., Wang, M., Hu, F., Cheng, X., & Xu, J. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3343781 · Cited by 22

Emergence of mature cortical activity in wakefulness and sleep in healthy preterm and full-term infants

Whitehead, K., Laudiano‐Dray, M. P., Meek, J. H., & Lorenzo Fabrizi, D. (2018) · SLEEP · doi:10.1093/sleep/zsy096 · Cited by 19

Analysis of Features Extracted from EEG Epochs by Discrete Wavelet Decomposition and Hilbert Transform for Sleep Apnea Detection

Prucnal, M. A., & Polak, A. G. (2018) · doi:10.1109/embc.2018.8512201 · Cited by 19

Audio-visual synchrony and spatial attention enhance processing of dynamic visual stimulation independently and in parallel: A frequency-tagging study

Čović, A., Keitel, C., Porcu, E., Schröger, E., & Müller, M. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.022 · Cited by 19

Neural dynamics of executive function in cognitively able kindergarteners with autism spectrum disorders as predictors of concurrent academic achievement

Kim, S. H., Buzzell, G. A., Faja, S., Choi, Y. B., Thomas, H. R., Brito, N. H., Shuffrey, L. C., Fifer, W. P., Morrison, F. D., Lord, C., et al. (2019) · Autism · doi:10.1177/1362361319874920 · Cited by 20

The Readiness Potential reflects the internal source of action, rather than decision uncertainty

Travers, E., & Haggard, P. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.15063 · Cited by 17

Periodic attention operates faster during more complex visual search

Merholz, G., Grabot, L., VanRullen, R., & Dugué, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-10647-5 · Cited by 22

Detection of the 40 Hz auditory steady-state response with optically pumped magnetometers

An, K., Shim, J. H., Kwon, H., Lee, Y., Yu, K.-K., Kwon, M., Chun, W. Y., Hirosawa, T., Hasegawa, C., Iwasaki, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-21870-5 · Cited by 21

Reduced electroencephalogram responses to standard and target auditory stimuli in bipolar disorder and the impact of psychotic features: Analysis of event‐related potentials, spectral power, and inter‐trial coherence

Lundin, N. B., Bartolomeo, L. A., O’Donnell, B. F., & Hetrick, W. P. (2017) · Bipolar Disorders · doi:10.1111/bdi.12561 · Cited by 19

Classification of Error-Related Potentials using Linear Discriminant Analysis

Kumar, A., Pirogova, E., & Fang, J. Q. (2018) · IEEE-EMBS Conference on Biomedical Engineering and Sciences · doi:10.1109/iecbes.2018.8626709 · Cited by 19

Nonlinear EEG analysis of mindfulness training using interpretable machine learning

Pandey, P., & Miyapuram, K. P. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669457 · Cited by 20

Temporal Context Modulates Encoding and Retrieval of Overlapping Events

Smith, D. E., Moore, I. L., & Long, N. M. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1091-21.2022 · Cited by 20

Capacity for consciousness under ketamine anaesthesia is selectively associated with activity in posteromedial cortex in rats

Arena, A., Juel, B. E., Comolatti, R., Thon, S. H., & Storm, J. F. (2022) · Neuroscience of Consciousness · doi:10.1093/nc/niac004 · Cited by 15

Reduced electrocortical responses to pleasant pictures in depression: A brief report on time-domain and time-frequency delta analyses

Dell’Acqua, C., Brush, C. J., Burani, K., Santopetro, N. J., Klawohn, J., Benvenuti, S. M., & Hajcak, G. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108302 · Cited by 18

Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey

Suda, Y., Tada, M., Matsuo, T., Kawasaki, K., Saigusa, T., Ishida, M., Mitsui, T., Kumano, H., Kirihara, K., Suzuki, T., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.557954 · Cited by 18

The ventral midline thalamus coordinates prefrontal–hippocampal neural synchrony during vicarious trial and error

Stout, J. J., Hallock, H. L., George, A. E., Adiraju, S. S., & Griffin, A. L. (2022) · Scientific Reports · doi:10.1038/s41598-022-14707-8 · Cited by 21

EEG-based clusters differentiate psychological distress, sleep quality and cognitive function in adolescents

Forbes, O., Schwenn, P., Wu, P. P., Santos–Fernández, E., Xie, H., Lagopoulos, J., McLoughlin, L. T., Sacks, D. D., Mengersen, K. L., & Hermens, D. F. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108403 · Cited by 18

Intracranial stimulation and EEG feature analysis reveal affective salience network specialization

Metzger, B. A., Kalva, P., Mocchi, M. M., Cui, B., Adkinson, J. A., Wang, Z., Mathura, R. K., Kanja, K., Gavvala, J. R., Krishnan, V., et al. (2023) · Brain · doi:10.1093/brain/awad200 · Cited by 16

The Electrophysiological Markers of Statistically Learned Attentional Enhancement: Evidence for a Saliency-based Mechanism

Duncan, D. H., van Moorselaar, D., & Theeuwes, J. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02066 · Cited by 20

EEG Datasets for Healthcare: A Scoping Review

da Silva, C. P., Tedesco, S. A., & O’Flynn, B. (2024) · IEEE Access · doi:10.1109/access.2024.3376254 · Cited by 19

Estimation of coherence using the median is robust against EEG artefacts

Dukic, S., Iyer, P. M., Mohr, K. S., et al. (2017) · doi:10.1109/embc.2017.8037720 · Cited by 18

Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition

Zhang, G., Zhang, C., Cao, S., Xia, X., Tan, X., Si, L., Wang, C., Wang, X., Zhou, C., Ristaniemi, T., et al. (2019) · Brain Topography · doi:10.1007/s10548-019-00750-8 · Cited by 18

Footwear and footstrike change loading patterns in running

Nordin, A. D., & Dufek, J. S. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1761767 · Cited by 18

A Time-Frequency Distribution-Based Approach for Decoding Visually Imagined Objects Using EEG Signals

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