Analyzing Neural Time Series Data: Theory and Practice

Theta oscillatory power decreases in humans are associated with spatial learning in a virtual water maze task

Thornberry, C., Caffrey, M., & Commins, S. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16185 · Cited by 15

Multivariate pattern analysis of EEG reveals nuanced impact of negation on sentence processing in the N400 and later time windows

He, Y., Sommer, J., Hansen‐Schirra, S., & Nagels, A. (2023) · Psychophysiology · doi:10.1111/psyp.14491 · Cited by 17

Alpha oscillations reflect similar mapping mechanisms for localizing touch on hands and tools

Fabio, C., Salemme, R., Farnè, A., & Miller, L. E. (2024) · iScience · doi:10.1016/j.isci.2024.109092 · Cited by 10

Motor oscillations reveal new correlates of error processing in the human brain

Yordanova, J., Falkenstein, M., & Kolev, V. (2024) · Scientific Reports · doi:10.1038/s41598-024-56223-x · Cited by 10

Subthalamic nucleus input-output dynamics are correlated with Parkinson’s burden and treatment efficacy

Liu, X., Guang, J., Glowinsky, S., Abadi, H., Arkadir, D., Linetsky, E., Snineh, M. A., León, J. F., Israel, Z. H., Wang, W., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00737-8 · Cited by 15

Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis

Gallego-Molina, N. J., Ortíz, A., Arco, J. E., Martínez-Murcia, F. J., & Woo, W. L. (2024) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-024-00634-x · Cited by 14

A comparative analysis of face and object perception in 2D laboratory and virtual reality settings: insights from induced oscillatory responses

Sagehorn, M., Kisker, J., Johnsdorf, M., Gruber, T., & Schöne, B. (2024) · Experimental Brain Research · doi:10.1007/s00221-024-06935-3 · Cited by 14

Top-down and bottom-up interactions rely on nested brain oscillations to shape rhythmic visual attention sampling

Trajkovic, J., Veniero, D., Hanslmayr, S., Palva, S., Cruz, G., Romei, V., & Thut, G. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002688 · Cited by 17

On the Role of Situational Stressors in the Disruption of Global Neural Network Stability during Problem Solving

Liu, M., Amey, R. C., & Forbes, C. E. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01178 · Cited by 14

Neural patterns reveal single-trial information on absolute pitch and relative pitch perception

Leipold, S., Greber, M., Sele, S., & Jäncke, L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.030 · Cited by 12

Musical Expertise Affects Audiovisual Speech Perception: Findings From Event-Related Potentials and Inter-trial Phase Coherence

Sorati, M., & Behne, D. M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02562 · Cited by 17

Inter-trial phase coherence of visually evoked postural responses in virtual reality

Engel, D., Schütz, A., Krala, M., Schwenk, J. C. B., Morris, A. P., & Bremmer, F. (2020) · Experimental Brain Research · doi:10.1007/s00221-020-05782-2 · Cited by 13

Audiovisual Modulation in Music Perception for Musicians and Non-musicians

Sorati, M., & Behne, D. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01094 · Cited by 13

Frontal Functional Network Disruption Associated with Amyotrophic Lateral Sclerosis: An fNIRS-Based Minimum Spanning Tree Analysis

Borgheai, S. B., McLinden, J., Mankodiya, K., & Shahriari, Y. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.613990 · Cited by 17

Aha! I know where I am: the contribution of visuospatial cues to reorientation in urban environments

Charalambous, E., Hanna, S., & Penn, A. (2021) · Spatial Cognition and Computation · doi:10.1080/13875868.2020.1865359 · Cited by 15

Event-related components are structurally represented by intrinsic event-related potentials

Tsai, C., & Liang, W.-K. (2021) · Scientific Reports · doi:10.1038/s41598-021-85235-0 · Cited by 14

Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods

Mattiev, J., Sajovic, J., Drevenšek, G., & Rogelj, P. (2022) · Bioengineering · doi:10.3390/bioengineering10010042 · Cited by 14

Root Cause Detection using Dynamic Dependency Graphs from Time Series Data

Shah, S. Y., Dang, X. H., & Zerfos, P. (2018) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2018.8622059 · Cited by 14

Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning

Puszta, A., Pertich, Á., Katona, X., Bodosi, B., Nyujtó, D., Giricz, Z., Eördegh, G., & Nagy, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-45978-3 · Cited by 14

The Role of Physical Fitness in Cognitive-Related Biomarkers in Persons at Genetic Risk of Familial Alzheimer’s Disease

Tsai, C., Sun, H., Kuo, Y., & Pai, M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8101639 · Cited by 15

Distinguishing Old From New Referents During Discourse Comprehension: Evidence From ERPs and Oscillations

Nieuwland, M. S., Coopmans, C. W., & Sommers, R. P. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00398 · Cited by 14

Patterns of Focal- and Large-Scale Synchronization in Cognitive Control and Inhibition: A Review

Beppi, C., Violante, I. R., Hampshire, A., Grossman, N., & Sandrone, S. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00196 · Cited by 15

Electrophysiological insights into the role of proficiency in bilingual novel and conventional metaphor processing

Wang, X., & Jankowiak, K. (2021) · Linguistic Approaches to Bilingualism · doi:10.1075/lab.20051.wan · Cited by 14

Theta and alpha power across fast and slow timescales in cognitive control

Huycke, P., Verbeke, P., Boehler, C. N., & Verguts, T. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15320 · Cited by 12

Real-Time Excitation of Slow Oscillations during Deep Sleep Using Acoustic Stimulation

Piorecký, M., Koudelka, V., Piorecká, V., Štrobl, J., Dudysová, D., & Kopřivová, J. (2021) · Sensors · doi:10.3390/s21155169 · Cited by 14

To see, not to see or to see poorly: Perceptual quality and guess rate as a function of electroencephalography (EEG) brain activity in an orientation perception task

Sheldon, S. S., & Mathewson, K. E. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15445 · Cited by 13

The Role of Stimuli-Driven and Goal-Driven Attention in Shopping Decision-Making Behaviors—An EEG and VR Study

Saffari, F., Zarei, S., Kakaria, S., Alcañiz, J. E. B., Bruni, L. E., & Ramsøy, T. Z. (2023) · Brain Sciences · doi:10.3390/brainsci13060928 · Cited by 15

Cleaning up the Brickyard: How Theory and Methodology Shape Experiments in Cognitive Neuroscience of Language

van der Burght, C. L., Friederici, A. D., Maran, M., Papitto, G., Pyatigorskaya, E., Schroën, J. A. M., Trettenbrein, P. C., & Zaccarella, E. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02058 · Cited by 16

A Systematic Review of tACS Effects on Cognitive Functioning in Older Adults Across the Healthy to Dementia Spectrum

Kraft, J. D., & Hampstead, B. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09621-3 · Cited by 13

Neural oscillatory activity and connectivity in children who stutter during a non-speech motor task

Caruso, V. C., Wray, A. H., Lescht, E., & Chang, S. (2023) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-023-09507-8 · Cited by 13

Evaluation of Parkinson’s disease early diagnosis using single-channel EEG features and auditory cognitive assessment

Molcho, L., Maimon, N. B., Hezi, N., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1273458 · Cited by 13

A longitudinal study of the effect of visuomotor learning on functional brain connectivity

Wang, K., Yu, C., Shen, C., Schack, T., & Hung, T. (2023) · Psychophysiology · doi:10.1111/psyp.14510 · Cited by 15

Distinct neural signatures underlying information maintenance and manipulation in working memory

Shi, D., & Yu, Q. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae063 · Cited by 18

Task-irrelevant decorative pictures increase cognitive load during text processing but have no effects on learning or working memory performance: an EEG and eye-tracking study

Scharinger, C. (2024) · Psychological Research · doi:10.1007/s00426-024-01939-8 · Cited by 17

Female-specific dysfunction of sensory neocortical circuits in a mouse model of autism mediated by mGluR5 and estrogen receptor α

Molinaro, G., Bowles, J. E., Croom, K., Gonzalez, D., Mirjafary, S., Birnbaum, S. G., Razak, K. A., Gibson, J. R., & Huber, K. M. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114056 · Cited by 14

Representations of imaginary scenes and their properties in cortical alpha activity

Stecher, R., & KAISER, D. H. (2024) · Scientific Reports · doi:10.1038/s41598-024-63320-4 · Cited by 13

EEG-based emotional valence and emotion regulation classification: a data-centric and explainable approach

Fiorini, L., Bossi, F., & Gruttola, F. D. (2024) · Scientific Reports · doi:10.1038/s41598-024-75263-x · Cited by 18

Movie-watching evokes ripple-like activity within events and at event boundaries

Silva, M., Wu, X., Sabio‐Albert, M., Blanco, E. C., Roldán, P., Donaire, A., Carreño, M., Axmacher, N., Baldassano, C. A., & Fuentemilla, L. (2025) · Nature Communications · doi:10.1038/s41467-025-60788-0 · Cited by 20

Continuous force decoding from deep brain local field potentials for Brain Computer Interfacing

Shah, S. A., Tan, H., & Brown, P. (2017) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2017.8008367 · Cited by 11

Reduced theta power during memory retrieval in depressed adults

Kane, J., Cavanagh, J., & Dillon, D. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.03.004 · Cited by 15

Neural anticipatory mechanisms predict faster reaction times and higher fluid intelligence

McKinney, T. L., & Euler, M. J. (2019) · Psychophysiology · doi:10.1111/psyp.13426 · Cited by 13

Perceptual Expectations Modulate Low-Frequency Activity: A Statistical Learning Magnetoencephalography Study

Zhou, Y. J., Pérez-Bellido, A., Haegens, S., & de Lange, F. P. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01511 · Cited by 12

Neural oscillations track the maintenance and proceduralization of novel instructions

Formica, S., González‐García, C., Senoussi, M., & Braß, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117870 · Cited by 16

Emotion discrimination using source connectivity analysis based on dynamic ROI identification

Kouti, M., Ansari-Asl, K., & Namjoo, E. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103332 · Cited by 12

Individual differences in error-related frontal midline theta activity during visuomotor adaptation

Jonker, Z. D., van der Vliet, R., Maquelin, G., van der Cruijsen, J., Ribbers, G. M., Selles, R. W., Donchin, O., & Frens, M. A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118699 · Cited by 14

Revisiting causality using stochastics: 1. Theory

Koutsoyiannis, D., Onof, C., Christofides, A., et al. (2022) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2021.0835 · Cited by 13

Levodopa Modulates Functional Connectivity in the Upper Beta Band Between Subthalamic Nucleus and Muscle Activity in Tonic and Phasic Motor Activity Patterns in Parkinson’s Disease

Ramirez-Pasos, U. E., Steigerwald, F., Reich, M. M., Matthies, C., Volkmann, J., & Reese, R. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00223 · Cited by 13

Atypical neural variability in carriers of 16p11.2 copy number variants

Al‐Jawahiri, R., Jones, M., & Milne, E. (2019) · Autism Research · doi:10.1002/aur.2166 · Cited by 13

MVPA Analysis of Intertrial Phase Coherence of Neuromagnetic Responses to Words Reliably Classifies Multiple Levels of Language Processing in the Brain

Jensen, M., Hyder, R., & Юрьевич, Ш. Ю. (2019) · eNeuro · doi:10.1523/eneuro.0444-18.2019 · Cited by 14

Intoxicating effects of alcohol depend on acid-sensing ion channels

Harmata, G. I. S., Chan, A. C., Merfeld, M. J., Taugher, R. J., Harijan, A. K., Hardie, J. B., Fan, R., Long, J. D., Wang, G. Z., Dlouhy, B. J., et al. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01473-4 · Cited by 13

The Analysis of Event-Related Potentials

Congedo, M. (2018) · Biological and medical physics, biomedical engineering · doi:10.1007/978-981-13-0908-3_4 · Cited by 15

Deciphering the origin of spin current in spintronic terahertz emitters and its imprint on their electromagnetic radiation via time-dependent density functional theory

Kefayati, A., Ren, Y., Jungfleisch, M. B., Gundlach, L., Xiao, J. Q., & Nikolić, B. K. (2025) · Physical review. B./Physical review. B · doi:10.1103/physrevb.111.l140415 · Cited by 12

Slow-wave sleep and REM sleep differentially contribute to memory representational transformation

Liu, J., Chen, D., Xia, T., Zeng, S., Xue, G., & Hu, X. (2025) · Communications Biology · doi:10.1038/s42003-025-08812-3 · Cited by 17

Neural Signature of Buying Decisions in Real-World Online Shopping Scenarios – An Exploratory Electroencephalography Study Series

Horr, N. K., Han, K., Mousavi, B., & Tang, R. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.797064 · Cited by 10

Formant‐invariant voice and pitch representations are pre‐attentively formed from constantly varying speech and non‐speech stimuli

Dona, G. D., Scaltritti, M., & Sulpizio, S. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15730 · Cited by 12

A hybrid approach based on complete ensemble empirical mode decomposition with adaptive noise for multi-step-ahead solar radiation forecasting

Ferkous, K., Boulmaiz, T., Ziari, F. A., et al. (2022) · Clean Energy · doi:10.1093/ce/zkac045 · Cited by 12

Neural Signatures of Hierarchical Linguistic Structures in Second Language Listening Comprehension

Lu, L., Deng, Y., Xiao, Z., et al. (2023) · eNeuro · doi:10.1523/eneuro.0346-22.2023 · Cited by 12

Laminar evoked responses in mouse somatosensory cortex suggest a special role for deep layers in cortical complexity

Hönigsperger, C., Storm, J. F., & Arena, A. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16108 · Cited by 16

Posterior theta activity reveals an early signal of self-face recognition

Kotlewska, I., Panek, B., Nowicka, A., & Asanowicz, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-41071-y · Cited by 15

How can cry acoustics associate newborns’ distress levels with neurophysiological and behavioral signals?

Laguna, A., Pusil, S. A., Acero-Pousa, I., Zegarra-Valdivia, J. A., Paltrinieri, A. L., Bazán, À., Piras, P., Perera, C. P. I., García‐Algar, Ó., & Orlandi, S. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1266873 · Cited by 12

Architectural experience influences the processing of others’ body expressions

Presti, P., Galasso, G. M., Ruzzon, D., Avanzini, P., Caruana, F., Rizzolatti, G., & Vecchiato, G. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2302215120 · Cited by 14

Reliability of EEG Metrics for Assessing Video Advertisements

van Diepen, R. M., Boksem, M. A. S., & Smidts, A. (2024) · Journal of Advertising · doi:10.1080/00913367.2024.2418109 · Cited by 13

EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects

Orovas, C., Sapounidis, T., Volioti, C., & Keramopoulos, E. (2024) · Sensors · doi:10.3390/s25010182 · Cited by 22

Coupling between infraslow activities and high‐frequency oscillations precedes seizure onset

Hashimoto, H., Khoo, H. M., Yanagisawa, T., et al. (2020) · Epilepsia Open · doi:10.1002/epi4.12425 · Cited by 12

Stress Alters the Neural Context for Building New Memories

Meier, J. K., Weymar, M., & Schwabe, L. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01613 · Cited by 13

Cognitive Effects of Montelukast: A Pharmaco-EEG Study

Schwimmbeck, F., Staffen, W., Höhn, C., Rossini, F., Renz, N., Lobendanz, M., Reichenpfader, P., Iglseder, B., Aigner, L., Trinka, E., et al. (2021) · Brain Sciences · doi:10.3390/brainsci11050547 · Cited by 12

Mapping causal circuit dynamics in stroke using simultaneous electroencephalography and transcranial magnetic stimulation

Rolle, C. E., Baumer, F. M., Jordan, J. T., Berry, K., Garcia, M., Monusko, K., Trivedi, H. M., Wu, W., Toll, R. T., Buckwalter, M. S., et al. (2021) · BMC Neurology · doi:10.1186/s12883-021-02319-0 · Cited by 12

Early Intervention via Stimulation of the Medial Septal Nucleus Improves Cognition and Alters Markers of Epileptogenesis in Pilocarpine-Induced Epilepsy

Izadi, A., Schedlbauer, A. M., Ondek, K., Disse, G. D., Ekstrom, A. D., Cowen, S. L., Shahlaie, K., & Gurkoff, G. G. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.708957 · Cited by 12

Classification of Complex Emotions Using EEG and Virtual Environment: Proof of Concept and Therapeutic Implication

Filippi, E. D., Wolter, M., Melo, B. R. P., Tierra-Criollo, C. J., Bortolini, T., Deco, G., & Moll, J. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.711279 · Cited by 14

A Single Bout of High-Intensity Cardiovascular Exercise Does Not Enhance Motor Performance and Learning of a Visuomotor Force Modulation Task, but Triggers Ipsilateral Task-Related EEG Activity

Pixa, N. H., Hübner, L. A., Kutz, D. F., & Voelcker‐Rehage, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182312512 · Cited by 11

The impact of background music on film audience’s attentional processes: Electroencephalography alpha-rhythm and event-related potential analyses

Kwon, Y.-S., Lee, J., & Lee, S. S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.933497 · Cited by 12

The Future of Psychotherapy Research and Neuroscience: Introducing the 4E/MoBI Approach to the Study of Patient–Therapist Interaction

Costa‐Cordella, S., Grasso‐Cladera, A., & Parada, F. J. (2024) · Review of General Psychology · doi:10.1177/10892680231224399 · Cited by 12

NeuroManager: a workflow analysis based simulation management engine for computational neuroscience

Stockton, D. B., & Santamarı́a, F. (2015) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2015.00024 · Cited by 12

Functional Semi-Blind Source Separation Identifies Primary Motor Area Without Active Motor Execution

Porcaro, C., Cottone, C., Cancelli, A., Salustri, C., & Tecchio, F. (2017) · International Journal of Neural Systems · doi:10.1142/s0129065717500472 · Cited by 13

A Percolation-Based Thresholding Method with Applications in Functional Connectivity Analysis

Esfahlani, F. Z., & Sayama, H. (2018) · Springer proceedings in complexity · doi:10.1007/978-3-319-73198-8_19 · Cited by 12

A Multiple Algorithm Approach to the Analysis of GNSS Coordinate Time Series for Detecting Geohazards and Anomalies

Habboub, M. O., Psimoulis, P. A., Bingley, R. M., & Rothacher, M. (2020) · Journal of Geophysical Research Solid Earth · doi:10.1029/2019jb018104 · Cited by 13

Classification of Autism in Young Children by Phase Angle Clustering in Magnetoencephalogram Signals

Barik, K., Watanabe, K., Bhattacharya, J., & Saha, G. (2020) · National Conference on Communications · doi:10.1109/ncc48643.2020.9056022 · Cited by 14

Progesterone modulates theta oscillations in the frontal‐parietal network

Riddle, J., Ahn, S., McPherson, T., Girdler, S. S., & Frӧhlich, F. (2020) · Psychophysiology · doi:10.1111/psyp.13632 · Cited by 15

BRAIN AND EYE AS POTENTIAL TARGETS FOR IONIZING RADIATION IMPACT. Part І. THE CONSEQUENCES OF IRRADIATION OF THE PARTICIPANTS OF THE LIQUIDATION OF THE CHORNOBYL ACCIDENT

Loganovsky, K., Fedirko, P., Kuts, K., Marazziti, D., Antypchuk, K. Y., Perchuk, I. V., Babenko, T., Loganovska, T., Kolosynska, O. O., Kreinis, G. Y., et al. (2020) · Проблеми радіаційної медицини та радіобіології = Problems of Radiation Medicine and Radiobiology · doi:10.33145/2304-8336-2020-25-90-129 · Cited by 13

Granger Causality-Based Pain Classification Using EEG Evoked by Electrical Stimulation Targeting Nociceptive Aδ and C Fibers

Tripanpitak, K., He, S., Sonmezisik, I., Morant, T., Huang, S. Y., & Yu, W. (2021) · IEEE Access · doi:10.1109/access.2021.3050302 · Cited by 12

Action information contributes to metacognitive decision-makingPreprint

Wokke, M. E., Achoui, D., & Cleeremans, A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/657957 · Cited by 12

Low frequency traveling waves in the human cortex coordinate neural activity across spatial scalesPreprint

Sreekumar, V., Wittig, J. H., Chapeton, J. I., Inati, S. K., & Zaghloul, K. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.04.977173 · Cited by 14

Novelty-induced frontal-STN networks in Parkinson’s diseasePreprint

Cole, R. C., Espinoza, A. I., Singh, A. P., Berger, J. I., Cavanagh, J. F., Wessel, J. R., Greenlee, J. D. W., & Narayanan, N. S. (2021) · medRxiv · doi:10.1101/2021.06.24.21259502 · Cited by 11

Modulation of aperiodic EEG activity provides sensitive index of cognitive state changes during working memory taskPreprint

Frelih, T., Matkovič, A., Mlinarič, T., Bon, J., & Repovš, G. (2024) · eLife · doi:10.7554/elife.101071 · Cited by 21

Cognitive training, but not EEG-neurofeedback, improves working memory in healthy volunteers

Barbazzeni, B., Speck, O., & Düzel, E. (2023) · Brain Communications · doi:10.1093/braincomms/fcad101 · Cited by 11

Neural dissociation between reward and salience prediction errors through the lens of optimistic bias

Zheng, Y., & Mei, S. (2023) · Human Brain Mapping · doi:10.1002/hbm.26398 · Cited by 13

Incremental sentence processing is guided by a preference for agents: EEG evidence from Basque

Isasi-Isasmendi, A., Sauppe, S., Andrews, C., Laka, I., Meyer, M. E., & Bickel, B. (2023) · Language Cognition and Neuroscience · doi:10.1080/23273798.2023.2250023 · Cited by 15

The corticomuscular response to experimental pain via blood flow occlusion when applied to the ipsilateral and contralateral leg during an isometric force task

Zambolin, F., Duro-Ocana, P., Goulding, R., Sanderson, A. J. R., Venturelli, M., Wood, G., McPhee, J. S., & Parr, J. V. V. (2023) · Psychophysiology · doi:10.1111/psyp.14466 · Cited by 11

Rhythmically Modulating Neural Entrainment during Exposure to Regularities Influences Statistical Learning

Batterink, L. J., Mulgrew, J., & Gibbings, A. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02079 · Cited by 11

EEG as a potential ground truth for the assessment of cognitive state in software development activities: A multimodal imaging study

Medeiros, J., Simões, M. A., Castelhano, J., Abreu, R., Couceiro, R., Henriques, J. M. O., Castelo-Branco, M. S., Madeira, H., Teixeira, C., & Carvalho, P. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299108 · Cited by 11

Modulation of aperiodic EEG activity provides sensitive index of cognitive state changes during working memory task

Frelih, T., Matkovič, A., Mlinarič, T., Bon, J., & Repovš, G. (2025) · eLife · doi:10.7554/elife.101071.4 · Cited by 10

Mobile EEG for the study of cognitive-motor interference during swimming?

Klapprott, M., & Debener, S. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1466853 · Cited by 11

Aperiodic neural activity distinguishes between phasic and tonic REM sleep

Rosenblum, Y., Bogdány, T., Nádasy, L. B., Chen, X., Kovács, I., Gombos, F., Ujma, P. P., Bódizs, R., Adelhöfer, N., Simor, P., et al. (2024) · Journal of Sleep Research · doi:10.1111/jsr.14439 · Cited by 17

Site-specific seeding of Lewy pathology induces distinct pre-motor cellular and dendritic vulnerabilities in the cortex

Khan, H. F., Dutta, S., Scott, A. N., Xiao, S., Yadav, S., Chen, X., Aryal, U. K., Kinzer‐Ursem, T. L., Rochet, J., & Jayant, K. (2024) · Nature Communications · doi:10.1038/s41467-024-54945-0 · Cited by 12

Proficiency in motor imagery is linked to the lateralization of focused ERD patterns and beta PDC

Angulo-Sherman, I. N., León-Domínguez, U., Martínez‐Torteya, A., Fragoso-González, G. A., & Martínez-Pérez, M. V. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01571-6 · Cited by 12

Non-invasive Brain Signal Acquisition Techniques

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