Analyzing Neural Time Series Data: Theory and Practice

Modulation of local field potentials and neuronal activity in primate hippocampus during saccades

Doucet, G., Gulli, R. A., Corrigan, B. W., Duong, L., & Martínez-Trujillo, J. (2019) · Hippocampus · doi:10.1002/hipo.23140 · Cited by 37

Targeting Gamma‐Related Pathophysiology in Autism Spectrum Disorder Using Transcranial Electrical Stimulation: Opportunities and Challenges

Kayarian, F. B., Jannati, A., Rotenberg, A., & Santarnecchi, E. (2020) · Autism Research · doi:10.1002/aur.2312 · Cited by 38

The psychoacoustics annoyance research based on EEG rhythms for passengers in high-speed railway

Chen, X., Lin, J., Jin, H., Huang, Y., & Liu, Z. (2020) · Applied Acoustics · doi:10.1016/j.apacoust.2020.107575 · Cited by 36

Deep Learning with ConvNet Predicts Imagery Tasks Through EEG

Altan, G., Yayık, A., & Kutlu, Y. (2021) · Neural Processing Letters · doi:10.1007/s11063-021-10533-7 · Cited by 41

Altered theta rhythm and hippocampal-cortical interactions underlie working memory deficits in a hyperglycemia risk factor model of Alzheimer’s disease

Wirt, R. A., Crew, L. A., Ortiz, A. A., McNeela, A. M., Flores, E., Kinney, J. W., & Hyman, J. M. (2021) · Communications Biology · doi:10.1038/s42003-021-02558-4 · Cited by 41

Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery

Sonoda, M., Rothermel, R., Carlson, A., Jeong, J., Lee, M., Hayashi, T., Luat, A. F., Sood, S., & Asano, E. (2021) · Brain · doi:10.1093/brain/awab318 · Cited by 38

Functional Equivalence of Imagined vs. Real Performance of an Inhibitory Task: An EEG/ERP Study

Galdo‐Álvarez, S., Carreño, C. F. M. B., González-Villar, A. J., & Carrillo‐de‐la‐Peña, M. T. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00467 · Cited by 36

Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals

Sarailoo, R., Latifzadeh, K., Amiri, S. H., Bosaghzadeh, A., & Ebrahimpour, R. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.744737 · Cited by 36

Associations between the resting EEG aperiodic slope and broad domains of cognitive ability

Euler, M. J., Vehar, J. V., Guevara, J. E., Geiger, A. R., Deboeck, P. R., & Lohse, K. R. (2024) · Psychophysiology · doi:10.1111/psyp.14543 · Cited by 36

Distortions in EEG interregional phase synchrony by spherical spline interpolation: causes and remedies

Kang, S. S., Lano, T. J., & Sponheim, S. R. (2015) · Neuropsychiatric Electrophysiology · doi:10.1186/s40810-015-0009-5 · Cited by 36

Pallidal stimulation in Parkinson disease differentially modulates local and network β activity

Malekmohammadi, M., Shahriari, Y., AuYong, N., O’Keeffe, A., Bordelon, Y. M., Hu, X., & Pouratian, N. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aad0fb · Cited by 36

Cortical sensorimotor activity in the execution and suppression of discrete and rhythmic movements

Hervault, M., Zanone, P., Buisson, J., & Huys, R. (2021) · Scientific Reports · doi:10.1038/s41598-021-01368-2 · Cited by 34

Oscillatory entrainment mechanisms and anticipatory predictive processes in children with autism spectrum disorder

Beker, S., Foxe, J. J., & Molholm, S. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00329.2021 · Cited by 35

An EEG ‐based neuro‐recommendation system for improving consumer purchase experience

Panda, D., Chakladar, D. D., Rana, S., & Parayitam, S. (2023) · Journal of Consumer Behaviour · doi:10.1002/cb.2142 · Cited by 36

Cerebellar Theta Frequency Transcranial Pulsed Stimulation Increases Frontal Theta Oscillations in Patients with Schizophrenia

Singh, A. P., Trapp, N. T., Corte, B. J. D., Cao, S., Kingyon, J., Boes, A. D., & Parker, K. L. (2019) · The Cerebellum · doi:10.1007/s12311-019-01013-9 · Cited by 36

Cerebral cortical networking for mental workload assessment under various demands during dual-task walking

Shaw, E. P., Rietschel, J. C., Shuggi, I. M., Xu, Y., Chen, S., Miller, M. W., Hatfield, B. D., & Gentili, R. J. (2019) · Experimental Brain Research · doi:10.1007/s00221-019-05550-x · Cited by 38

Visual Familiarity Induced 5-Hz Oscillations and Improved Orientation and Direction Selectivities in V1

Gao, M., Lim, S., & Chubykin, A. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1337-20.2021 · Cited by 33

Looking Back at the Next 40 Years of ASD Neuroscience Research

McPartland, J. C., Lerner, M. D., Bhat, A. N., Clarkson, T., Jack, A., Koohsari, S., Matuskey, D., McQuaid, G. A., Su, W.-C., & Trevisan, D. A. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-05095-5 · Cited by 36

The role of conjunctive representations in prioritizing and selecting planned actions

Kikumoto, A., Mayr, U., & Badre, D. (2022) · eLife · doi:10.7554/elife.80153 · Cited by 42

Decoding hierarchical control of sequential behavior in oscillatory EEG activity

Kikumoto, A., & Mayr, U. (2018) · eLife · doi:10.7554/elife.38550 · Cited by 36

Distinguishing vigilance decrement and low task demands from mind‐wandering: A machine learning analysis of EEG

Jin, C. Y., Borst, J. P., & van Vugt, M. K. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14863 · Cited by 35

Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice

Claar, L. D., Rembado, I., Kuyat, J. R., Russo, S., Marks, L. C., Olsen, S. R., & Koch, C. (2023) · eLife · doi:10.7554/elife.84630.3 · Cited by 36

Constructional Approaches

Hilpert, M. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198755104.013.13 · Cited by 34

Mapping cortical rhythms to infant behavioral tendencies via baseline EEG and parent‐report

Perone, S., & Gartstein, M. A. (2019) · Developmental Psychobiology · doi:10.1002/dev.21867 · Cited by 34

Alpha-phase synchrony EEG training for multi-resistant chronic low back pain patients: an open-label pilot study

Mayaud, L., Wu, H., Barthélemy, Q., Favennec, P., Delpierre, Y., Congedo, M., Dupeyron, A., & Ritz, M. (2019) · European Spine Journal · doi:10.1007/s00586-019-06051-9 · Cited by 51

Feedback-Related Negativity and Frontal Midline Theta Reflect Dissociable Processing of Reinforcement

Rawls, E., Miskovic, V., Moody, S. N., Lee, Y., Shirtcliff, E. A., & Lamm, C. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00452 · Cited by 35

Electrocortical dynamics differentiate athletes exhibiting low‐ and high‐ ACL injury risk biomechanics

Bonnette, S., Diekfuss, J. A., Grooms, D. R., Kiefer, A. W., Riley, M. A., Riehm, C. D., Moore, C., Foss, K. D. B., DiCesare, C. A., Baumeister, J., et al. (2020) · Psychophysiology · doi:10.1111/psyp.13530 · Cited by 33

A Novel Connectome-based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-state High-density EEG EGI GES 300

Lazarou, I., Georgiadis, K., Nikolopoulos, S., Oikonomou, V. P., Tsolaki, A., Kompatsiaris, I. Y., Tsolaki, M., & Kugiumtzis, D. (2020) · Brain Sciences · doi:10.3390/brainsci10060392 · Cited by 36

Tracking stimulus representation across a 2-back visual working memory task

Wan, Q., Cai, Y., Samaha, J., & Postle, B. R. (2020) · Royal Society Open Science · doi:10.1098/rsos.190228 · Cited by 39

Modulation of functional network properties in major depressive disorder following electroconvulsive therapy (ECT): a resting-state EEG analysis

Hill, A. T., Hadas, I., Zomorrodi, R., Voineskos, D., Farzan, F., Fitzgerald, P. B., Blumberger, D. M., & Daskalakis, Z. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-74103-y · Cited by 37

Learning to Synchronize: Midfrontal Theta Dynamics during Rule Switching

Verbeke, P., Ergo, K., Loof, E. D., & Verguts, T. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1874-20.2020 · Cited by 37

Neural oscillations track recovery of consciousness in acute traumatic brain injury patients

Frohlich, J., Crone, J. S., Johnson, M. A., Lutkenhoff, E. S., Spivak, N. M., Dell’Italia, J., Hipp, J. F., Shrestha, V., Tejeda, J. E. R., Real, C. R., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25725 · Cited by 34

Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach

Yousefi, A., Basu, I., Paulk, A. C., Peled, N., Eskandar, E. N., Dougherty, D. D., Cash, S. S., Widge, A. S., & Eden, U. T. (2019) · Neural Computation · doi:10.1162/neco_a_01196 · Cited by 32

Mind and body: psychophysiological profiles of instructional and motivational self-talk

Bellomo, E., Cooke, A., Gallicchio, G., Ring, C., & Hardy, J. (2020) · Psychophysiology · doi:10.1111/psyp.13586 · Cited by 33

Spontaneous alpha-band amplitude predicts subjective visibility but not discrimination accuracy during high-level perception

Samaha, J., LaRocque, J. J., & Postle, B. R. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103337 · Cited by 33

Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics

Frohlich, J., Chiang, J. N., Mediano, P. A. M., Nespeca, M., Saravanapandian, V., Toker, D., Dell’Italia, J., Hipp, J. F., Jeste, S., Chu, C. J., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-04331-7 · Cited by 33

Music tempo modulates emotional states as revealed through EEG insights

Yang, Z., Su, Q., Xie, J., Su, H., Huang, T., Han, C., Zhang, S., Zhang, K., & Xu, G. (2025) · Scientific Reports · doi:10.1038/s41598-025-92679-1 · Cited by 49

Emotional arousal and recognition memory are differentially reflected in pupil diameter responses during emotional memory for negative events in younger and older adults

Hämmerer, D., Hopkins, A. K., Betts, M. J., Maaß, A., Dolan, R. J., & Düzel, E. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.06.021 · Cited by 34

Electrophysiology as a theoretical and methodological hub for the neural sciences

Cavanagh, J. F. (2018) · Psychophysiology · doi:10.1111/psyp.13314 · Cited by 36

Demystifying signal processing techniques to extract task-related EEG responses for psychologists

Zhang, L., Li, Z., Zhang, F., Gu, R., Peng, W., & Hu, L. (2020) · Brain Science Advances · doi:10.26599/bsa.2020.9050018 · Cited by 34

Rehabilitation of motor function in children with cerebral palsy based on motor imagery

Xie, J., Jiang, L., Li, Y., et al. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09672-3 · Cited by 33

Authentic Fear Responses in Virtual Reality: A Mobile EEG Study on Affective, Behavioral and Electrophysiological Correlates of Fear

Kisker, J., Lange, L., Flinkenflügel, K., Kaup, M., Labersweiler, N., Tetenborg, F., Ott, P., Gundler, C., Gruber, T., Osinsky, R., et al. (2021) · Frontiers in Virtual Reality · doi:10.3389/frvir.2021.716318 · Cited by 37

Assessment of the human response to acute mental stress–An overview and a multimodal study

Ernst, H., Scherpf, M., Pannasch, S., Helmert, J. R., Malberg, H., & Schmidt, M. U. (2023) · PLoS ONE · doi:10.1371/journal.pone.0294069 · Cited by 35

Top–Down Control of Alpha Phase Adjustment in Anticipation of Temporally Predictable Visual Stimuli

Solís‐Vivanco, R., Jensen, O. B., & Bonnefond, M. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01280 · Cited by 32

Neuroelectric Correlates of Human Sexuality: A Review and Meta-Analysis

Ziogas, A., Habermeyer, E., Santtila, P. O., Poeppl, T. B., & Mokros, A. (2020) · Archives of Sexual Behavior · doi:10.1007/s10508-019-01547-3 · Cited by 31

Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice

Vishwanath, M., Jafarlou, S., Shin, I., Lim, M., Dutt, N., Rahmani, A.-M., & Cao, H. (2020) · Italian National Conference on Sensors · doi:10.3390/s20072027 · Cited by 30

Neural signatures of syntactic variation in speech planning

Sauppe, S., Choudhary, K. K., Giroud, N., Blasí, D. E., Norcliffe, E., Bhattamishra, S., Gulati, M., Egurtzegi, A., Bornkessel‐Schlesewsky, I., Meyer, M. E., et al. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001038 · Cited by 31

EEG-Based Cognitive State Classification and Analysis of Brain Dynamics Using Deep Ensemble Model and Graphical Brain Network

Chakladar, D. D., Roy, P. P., & Iwamura, M. (2021) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2021.3116079 · Cited by 32

Hierarchy, Not Lexical Regularity, Modulates Low-Frequency Neural Synchrony During Language Comprehension

Lo, C.-W., Tung, T.-Y., Ke, A. H., & Brennan, J. (2022) · Neurobiology of Language · doi:10.1162/nol_a_00077 · Cited by 31

Optimal flickering light stimulation for entraining gamma rhythms in older adults

Park, Y., Lee, K.-H., Park, J., Bae, J. B., Kim, S.-S., Kim, D.-W., Woo, S. J., Yoo, S., & Kim, K. W. (2022) · Scientific Reports · doi:10.1038/s41598-022-19464-2 · Cited by 32

Transcranial ultrasound neuromodulation of the thalamic visual pathway in a large animal model and the dose-response relationship with MR-ARFI

Mohammadjavadi, M., Ash, R. T., Li, N., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-20554-4 · Cited by 32

An error-aware gaze-based keyboard by means of a hybrid BCI system

Kalaganis, F. P., Chatzilari, E., Nikolopoulos, S., Kompatsiaris, I. Y., & Laskaris, N. (2018) · Scientific Reports · doi:10.1038/s41598-018-31425-2 · Cited by 31

Review of EEG Affective Recognition with a Neuroscience Perspective

Lim, R. Y., Lew, W.-C. L., & Ang, K. K. (2024) · Brain Sciences · doi:10.3390/brainsci14040364 · Cited by 38

Functional connectivity between prefrontal cortex and striatum estimated by phase locking value

Zhang, Y., Pan, X., Wang, R., & Sakagami, M. (2016) · Cognitive Neurodynamics · doi:10.1007/s11571-016-9376-2 · Cited by 33

Stereotactic electroencephalography in humans reveals multisensory signal in early visual and auditory cortices

Ferraro, S., van Ackeren, M. J., Mai, R., Tassi, L., Cardinale, F., Nigri, A., Bruzzone, M. G., D’Incerti, L., Hartmann, T., Weisz, N., et al. (2020) · Cortex · doi:10.1016/j.cortex.2019.12.032 · Cited by 29

A ride in the park: Cycling in different outdoor environments modulates the auditory evoked potentials

Scanlon, J. E. M., Redman, E. X., Kuziek, J. W. P., & Mathewson, K. E. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.02.016 · Cited by 31

Virtual World as an Interactive Safety Training Platform

Shiradkar, S., Rabelo, L. C., Alasim, F., & Nagadi, K. (2021) · Information · doi:10.3390/info12060219 · Cited by 38

The Directionality of Fronto-Posterior Brain Connectivity Is Associated with the Degree of Individual Autistic Traits

Tarasi, L., Magosso, E., Ricci, G., Ursino, M., & Romei, V. (2021) · Brain Sciences · doi:10.3390/brainsci11111443 · Cited by 30

Proactive or reactive? Neural oscillatory insight into the leader–follower dynamics of early infant–caregiver interaction

Phillips, E., Goupil, L., Haresign, I. M., Bruce-Gardyne, E., Csolsim, F. A., Whitehorn, M., Victoria, L., & Wass, S. V. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2122481120 · Cited by 36

The temporal structure of REM sleep shows minute-scale fluctuations across brain and body in mice and humans

Bueno-Júnior, L. S., Ruckstuhl, M., Lim, M. M., & Watson, B. O. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2213438120 · Cited by 38

Increased peak gamma frequency in individuals with higher levels of autistic traits

Dickinson, A. H., Bruyns‐Haylett, M., Jones, M., & Milne, E. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12881 · Cited by 32

Post-response βγ power predicts the degree of choice-based learning in internally guided decision-making

Nakao, T., Kanayama, N., Katahira, K., Odani, M., Ito, Y., Hirata, Y., Nasuno, R., 繁, 尾., Hiramoto, R., Miyatani, M., et al. (2016) · Scientific Reports · doi:10.1038/srep32477 · Cited by 27

The role of midfrontal theta oscillations across the development of cognitive control in preschoolers and school‐age children

Adam, N., Blaye, A., Gulbinaite, R., Arnaud Delorme, A., & Farrer, C. (2020) · Developmental Science · doi:10.1111/desc.12936 · Cited by 29

Pulvinar Modulates Synchrony across Visual Cortical Areas

Cortes, N., de Souza, B. O. F., & Casanova, C. (2020) · Vision · doi:10.3390/vision4020022 · Cited by 28

Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study

Deligani, R. J., Hosni, S. I., Borgheai, S. B., McLinden, J., Zisk, A. H., Mankodiya, K., & Shahriari, Y. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.3031495 · Cited by 31

Bimodal Data Fusion of Simultaneous Measurements of EEG and fNIRS during Lower Limb Movements

Al-Quraishi, M. S., Elamvazuthi, I., Tang, T. B., Al‐Qurishi, M., Adil, S. H., & Ebrahim, M. (2021) · Brain Sciences · doi:10.3390/brainsci11060713 · Cited by 33

Learning to stand with unexpected sensorimotor delays

Rasman, B. G., Forbes, P. A., Peters, R. M., Ortiz, O., Franks, I. M., Inglis, J. T., Chua, R., & Blouin, J. (2021) · eLife · doi:10.7554/elife.65085 · Cited by 29

How Smart Is It to Go to Bed with the Phone? The Impact of Short-Wavelength Light and Affective States on Sleep and Circadian Rhythms

Schmid, S. R., Höhn, C., Bothe, K., Plamberger, C., Angerer, M., Pletzer, B. A., & Hoedlmoser, K. (2021) · Clocks & Sleep · doi:10.3390/clockssleep3040040 · Cited by 35

Preparing for Success: Neural Frontal Theta and Posterior Alpha Dynamics during Action Preparation Predict Flexible Resolution of Cognitive Conflicts

Kaiser, J., Iliopoulos, P., Steinmassl, K., & Schütz‐Bosbach, S. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01846 · Cited by 30

Magnetoencephalography can reveal deep brain network activities linked to memory processes

López‐Madrona, V. J., Villalon, S. M., Badier, J., Trébuchon, A., Velmurugan, J., Bartoloméi, F., Carron, R., Barborică, A., Vulliémoz, S., Alario, F. ‐., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25987 · Cited by 26

Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects

Sburlea, A., Montesano, L., & Minguez, J. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5f2f · Cited by 32

Electrophysiological Evidence for Alternative Motor Networks in REM Sleep Behavior Disorder

Hackius, M., Werth, E., Sürücü, O., Baumann, C. R., & Imbach, L. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2546-16.2016 · Cited by 30

Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing

Chang, A., Ide, J. S., Li, H.-H., Chen, C., & Li, C.-S. R. (2017) · eNeuro · doi:10.1523/eneuro.0061-17.2017 · Cited by 31

Sleep-dependent oscillatory synchronization: A role in fear memory consolidation

Totty, M. S., Chesney, L. A., Geist, P. A., & Datta, S. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00049 · Cited by 29

Evaluating EEG complexity metrics as biomarkers for depression

Lord, B., & Allen, J. J. B. (2023) · Psychophysiology · doi:10.1111/psyp.14274 · Cited by 30

Mobile EEG for neurourbanism research - What could possibly go wrong? A critical review with guidelines

Gramann, K. (2024) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2024.102308 · Cited by 37

Both slow wave and rapid eye movement sleep contribute to emotional memory consolidation

Yüksel, Ç., Denis, D., Coleman, J., Ren, B., Oh, A., Cox, R., Morgan, A., Sato, E., & Stickgold, R. (2025) · Communications Biology · doi:10.1038/s42003-025-07868-5 · Cited by 46

Determinants of Brain Rhythm Burst Statistics

Powanwe, A. S., & Longtin, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-54444-z · Cited by 30

Event-related potential and behavioural differences in affective self-referential processing in long-term meditators versus controls

Katyal, S., Hajcak, G., Flora, T., Bartlett, A., & Goldin, P. (2019) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-020-00771-y · Cited by 23

Memory in time: Neural tracking of low-frequency rhythm dynamically modulates memory formation

Hickey, P. C., Merseal, H. M., Patel, A. D., & Race, E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116693 · Cited by 27

Different EEG brain activity in right and left handers during visually induced self-motion perception

McAssey, M., Dowsett, J., Kirsch, V., Brandt, T., & Dieterich, M. (2020) · Journal of Neurology · doi:10.1007/s00415-020-09915-z · Cited by 29

Concordant neurophysiological signatures of cognitive control in humans and rats

Robble, M. A., Schroder, H. S., Kangas, B. D., Nickels, S., Breiger, M., Iturra-Mena, A. M., Perlo, S., Cárdenas, E. F., Der‐Avakian, A., Barnes, S. A., et al. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-00998-4 · Cited by 28

This Is Your Brain on Autopilot: Neural Indices of Driver Workload and Engagement During Partial Vehicle Automation

McDonnell, A. S., Simmons, T. G., Erickson, G. G., Lohani, M., Cooper, J. M., & Strayer, D. L. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211039091 · Cited by 33

Conjunctive spatial and self-motion codes are topographically organized in the GABAergic cells of the lateral septum

van der Veldt, S., Etter, G., Mosser, C., Manseau, F., & Williams, S. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001383 · Cited by 33

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Knierim, M. T., Berger, C., & Reali, P. (2021) · Brain-Computer Interfaces · doi:10.1080/2326263x.2021.1972633 · Cited by 34

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis

Formoso, M. A., Ortíz, A., Martínez-Murcia, F. J., Gallego-Molina, N. J., & Luque, J. L. (2021) · Sensors · doi:10.3390/s21217061 · Cited by 28

Evaluating the Effects of Educational Multimedia Design Principles on Cognitive Load Using EEG Signal Analysis

Farkish, A., Bosaghzadeh, A., Amiri, S. N., & Ebrahimpour, R. (2022) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-022-11283-2 · Cited by 28

Decision and response monitoring during working memory are sequentially represented in the human insula

Llorens, A., Bellier, L., Blenkmann, A. O., Ivanović, J., Larsson, P. G., Lin, J. J., Endestad, T., Solbakk, A., & Knight, R. T. (2023) · iScience · doi:10.1016/j.isci.2023.107653 · Cited by 30

Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates

Gómez‐Ramírez, J., Freedman, S., Mateos, D. M., Velázquez, J. L. P., & Valiante, T. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-15659-0 · Cited by 32

Impact of alcohol use on EEG dynamics of response inhibition: a cotwin control analysis

Harper, J., Malone, S. M., & Iacono, W. G. (2016) · Addiction Biology · doi:10.1111/adb.12481 · Cited by 29

Autistic traits, resting-state connectivity, and absolute pitch in professional musicians: shared and distinct neural features

Wenhart, T., Bethlehem, R. A. I., Baron‐Cohen, S., & ALTENMÜLLER, E. O. (2019) · Molecular Autism · doi:10.1186/s13229-019-0272-6 · Cited by 27

Hardware Emulation of a Biorthogonal Wavelet Transform-Based Heart Rate Monitoring Device

Kumar, A., Ranganatham, R., Kumar, M., et al. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3034742 · Cited by 28

Altered Cerebellar Oscillations in Parkinson’s Disease Patients during Cognitive and Motor Tasks

Bosch, T. J., Groth, C. L., Eldridge, T. A., Gnimpiéba, E. Z., Baugh, L. A., & Singh, A. K. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.08.021 · Cited by 28

Contactless measurements of retinal activity using optically pumped magnetometers

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