Cited by 104Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchEpilepsy research and treatment

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Infraslow (<0.1Hz) oscillations in thalamic relay nuclei

Open access

Hughes, Stuart W., Lőrincz, Magor L., Parri, H. Rheinallt, Crunelli, Vincenzo·2011·Progress in Brain Research

DOI 10.1016/b978-0-444-53839-0.00010-7PMC PMC3173874

Open this paper in CoChat — free account Open PDF

Abstract

In the absence of external stimuli, the mammalian brain continues to display a rich variety of spontaneous activity. Such activity is often highly stereotypical, is invariably rhythmic, and can occur with periodicities ranging from a few milliseconds to several minutes. Recently, there has been a particular resurgence of interest in fluctuations in brain activity occurring at < 0.1 Hz, commonly referred to as very slow or infraslow oscillations (ISOs). Whilst this is primarily due to the emergence of functional magnetic resonance imaging (fMRI) as a technique which has revolutionized the study of human brain dynamics, it is also a consequence of the application of full band electroencephalography (fbEEG). Despite these technical advances, the precise mechanisms which lead to ISOs in the brain remain unclear. In a host of animal studies, one brain region that consistently shows oscillations at < 0.1 Hz is the thalamus. Importantly, similar oscillations can also be observed in slices of isolated thalamic relay nuclei maintained in vitro. Here, we discuss the nature and mechanisms of these oscillations, paying particular attention to a potential role for astrocytes in their genesis. We also highlight the relationship between this activity and ongoing local network oscillations in the alpha (α; ~8-13 Hz) band, drawing clear parallels with observations made in vivo. Last, we consider the relevance of these thalamic ISOs to the pathological activity that occurs in certain types of epilepsy.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/b978-0-444-53839-0.00010-7

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Electrophysiological signatures of resting state networks in the human brain
Mantini, D., Perrucci, M. G., Del Gratta, C., Romani, G. L., & Corbetta, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700668104 · Cited by 1,938
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Inwardly Rectifying Potassium Channels: Their Structure, Function, and Physiological Roles
Hibino, H., Inanobe, A., Furutani, K., Murakami, S., Findlay, I., & Kurachi, Y. (2010) · Physiological Reviews · doi:10.1152/physrev.00021.2009 · Cited by 1,579
The oscillating brain: Complex and reliable
Zuo, X., Martino, A. D., Kelly, C. A. M., Shehzad, Z. E., Gee, D. G., Klein, D. F., Castellanos, F. X., Biswal, B. B., & Milham, M. P. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.037 · Cited by 1,466
fMRI resting state networks define distinct modes of long-distance interactions in the human brain
De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M., & Smith, S. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.035 · Cited by 1,241
Simultaneous EEG and fMRI of the alpha rhythm
Goldman, R. I., Stern, J. M., Engel, J., & Cohen, M. S. (2002) · Neuroreport · doi:10.1097/00001756-200212200-00022 · Cited by 1,131
Ionic basis for the electro‐responsiveness and oscillatory properties of guinea‐pig thalamic neurones in vitro.
Jahnsen, H., & Llinas, R. H. (1984) · The Journal of Physiology · doi:10.1113/jphysiol.1984.sp015154 · Cited by 1,081
EEG-correlated fMRI of human alpha activity
Laufs, H., Kleinschmidt, A., Beyerle, A., Eger, E., Salek-Haddadi, A., Preibisch, C., & Krakow, K. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00286-6 · Cited by 1,025

Show all 74 references

Sorted by citations

The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms
Buzsáki, G., Logothetis, N., & Singer, W. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.002 · Cited by 886
Oscillating circuitries in the sleeping brain
Adamantidis, A. R., Gutierrez Herrera, C., & Gent, T. C. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0223-4 · Cited by 281
Noradrenergic circuit control of non-REM sleep substates
Osorio-Forero, A., Cardis, R., Vantomme, G., Guillaume-Gentil, A., Katsioudi, G., Devenoges, C., Fernandez, L. M. J., & Lüthi, A. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.041 · Cited by 230
Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI
Hiltunen, T., Kantola, J., Elseoud, A. A., Lepola, P., Suominen, K., Starck, T., Nikkinen, J., Remes, J. J., Tervonen, O. A., Palva, S., et al. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0276-13.2014 · Cited by 227
Disruption of default mode network dynamics in acute and chronic pain states
Alshelh, Z., Marciszewski, K. K., Akhter, R., Pietro, F. D., Mills, E. P., Vickers, E. R., Peck, C. C., Murray, G. M., & Henderson, L. A. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.10.019 · Cited by 182
Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series
Palva, J. M., & Palva, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.060 · Cited by 163
Electrophysiological Low-Frequency Coherence and Cross-Frequency Coupling Contribute to BOLD Connectivity
Wang, L., Saalmann, Y. B., Pinsk, M. A., Arcaro, M. J., & Kastner, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.033 · Cited by 158
Pupil Size Coupling to Cortical States Protects the Stability of Deep Sleep via Parasympathetic Modulation
Yüzgeç, Ö., Prsa, M., Zimmermann, R. A., & Huber, D. (2018) · Current Biology · doi:10.1016/j.cub.2017.12.049 · Cited by 163
Chronic Neuropathic Pain: It's about the Rhythm
Alshelh, Z., Pietro, F. D., Youssef, A. M., Reeves, J. M., Macey, P. M., Vickers, E. R., Peck, C. C., Murray, G. M., & Henderson, L. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2768-15.2016 · Cited by 153
Spatiotemporal Reconfiguration of Large-Scale Brain Functional Networks during Propofol-Induced Loss of Consciousness
Schröter, M. S., Spoormaker, V. I., Schorer, A., Wohlschläger, A. M., Czisch, M., Kochs, E. F., Zimmer, C., Hemmer, B., Schneider, G. H., Jordan, D., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6046-11.2012 · Cited by 148
Bidirectional Coupling between Astrocytes and Neurons Mediates Learning and Dynamic Coordination in the Brain: A Multiple Modeling Approach
Wade, J. J., Mcdaid, L. J., Harkin, J., Crunelli, V., & Kelso, J. A. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0029445 · Cited by 143
Self-citation
Increased fMRI connectivity upon chemogenetic inhibition of the mouse prefrontal cortex
Rocchi, F., Canella, C., Noei, S., Gutierrez‐Barragan, D., Coletta, L., Galbusera, A., Stuefer, A., Vassanelli, S., Pasqualetti, M., Iurilli, G., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28591-3 · Cited by 121
Full-bandwidth electrophysiology of seizures and epileptiform activity enabled by flexible graphene microtransistor depth neural probes
Calia, A. B., Masvidal‐Codina, E., Smith, T., Schaefer, N., Rathore, D., Rodríguez-Lucas, E., Illa, X., de la Cruz, J. M., del Corro, E., Prats‐Alfonso, E., et al. (2021) · Nature Nanotechnology · doi:10.1038/s41565-021-01041-9 · Cited by 121
Cortico-thalamic hypo- and hyperconnectivity extend consistently to basal ganglia in schizophrenia
Avram, M., Brandl, F., Bäuml, J., & Sorg, C. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0059-z · Cited by 107
Acute and Chronic Pain Processing in the Thalamocortical System of Humans and Animal Models
Groh, A., Krieger, P., Mease, R. A., & Henderson, L. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.09.042 · Cited by 101
Increased Amplitude of Thalamocortical Low-Frequency Oscillations in Patients with Migraine
Hodkinson, D. J., Wilcox, S. L., Veggeberg, R., Noseda, R., Burstein, R., Borsook, D., & Becerra, L. R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1038-16.2016 · Cited by 99
Cognitive and Physiologic Impacts of the Infraslow Oscillation
Watson, B. O. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00044 · Cited by 74
Deep in the brain: Changes in subcortical function immediately preceding a migraine attack
Meylakh, N., Marciszewski, K. K., Pietro, F. D., Macefield, V. G., Macey, P. M., & Henderson, L. A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24030 · Cited by 73
What is all the noise about in interval timing?
Oprisan, S. A., & Buhusi, C. V. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0459 · Cited by 60
Monochromatic Ultra-Slow (~0.1Hz) Oscillations in the human electroencephalogram and their relation to hemodynamics
Nikulin, V. V., Fedele, T., Mehnert, J., Lipp, A., Noack, C., Steinbrink, J. M., & Curio, G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.008 · Cited by 58
Glutamate triggers intracellular Ca2+ oscillations and nitric oxide release by inducing NAADP‐ and InsP3‐dependent Ca2+ release in mouse brain endothelial cells
Zuccolo, E., Kheder, D. A., Lim, D., Perna, A., Nezza, F. D., Botta, L., Scarpellino, G., Negri, S., Martinotti, S., Soda, T., et al. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.26953 · Cited by 59
Slow brain oscillations of sleep, resting state, and vigilance
Van Someren, E. J. W., Van Der Werf, Y. D., Roelfsema, P. R., Mansvelder, H. D., & Lopes da Silva, F. H. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00001-6 · Cited by 58
Altered brainstem anatomy in migraine
Marciszewski, K. K., Meylakh, N., Pietro, F. D., Macefield, V. G., Macey, P. M., & Henderson, L. A. (2017) · Cephalalgia · doi:10.1177/0333102417694884 · Cited by 50
Infraslow oscillations in human sleep spindle activity
Lázár, Z. I., Dijk, D.-J., & Lázár, A. S. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.12.002 · Cited by 49
Synchronization of infra-slow oscillations of brain potentials with respiration
Karavaev, A. S., Kiselev, A. R., Евгеньевна, Р. А., Zhuravlev, M. О., Borovkova, E. I., Prokhorov, M. D., Пономаренко, В. И., Pchelintseva, S., Efremova, T., Koronovskii, A. A., et al. (2018) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5046758 · Cited by 49
Local awakening: Regional reorganizations of brain oscillations after sleep
Tsai, P.-J., Chen, S. C.-J., Hsu, C.-Y., Wu, C. W., Wu, Y., Hung, C., Yang, A. C., Liu, P., Biswal, B. B., & Lin, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.032 · Cited by 45
Quantification of Interictal Neuromagnetic Activity in Absence Epilepsy with Accumulated Source Imaging
Xiang, J., Tenney, J. R., Korman, A. M., Leiken, K., Rose, D. F., Harris, E., Yuan, W., Horn, P. S., Holland, K. D., Loring, D. W., et al. (2014) · Brain Topography · doi:10.1007/s10548-014-0411-5 · Cited by 44
Separability of calcium slow waves and functional connectivity during wake, sleep, and anesthesia
Brier, L. M., Landsness, E. C., Snyder, A. Z., Wright, P. W., Baxter, G. A., Bauer, A. Q., Lee, J., & Culver, J. P. (2019) · Neurophotonics · doi:10.1117/1.nph.6.3.035002 · Cited by 48
Prediction and verification of nonlinear sleep spindle harmonic oscillations
Abeysuriya, R., RENNIE, C. J., & Robinson, P. A. (2013) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.11.013 · Cited by 42
Active Dendrites and Local Field Potentials: Biophysical Mechanisms and Computational Explorations
Sinha, M., & Narayanan, R. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.08.035 · Cited by 44
Phase-amplitude coupling and infraslow (<1 Hz) frequencies in the rat brain: relationship to resting state fMRI
Thompson, G. J., Pan, W., Billings, J., Grooms, J. K., Shakil, S., Jaeger, D., & Keilholz, S. D. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00041 · Cited by 41
Neuromagnetic high-frequency oscillations correlate with seizure severity in absence epilepsy
Tang, L., Xiang, J., Huang, S., Miao, A., Ge, H., Liu, H., Wu, D., Guan, Q., Wu, T., Chen, Q., et al. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.08.016 · Cited by 39
Infra-Slow Oscillation (ISO) of the Pupil Size of Urethane-Anaesthetised Rats
Błasiak, T., Zawadzki, A., & Lewandowski, M. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062430 · Cited by 30
Interictal infraslow activity in patients with epilepsy
Rodin�, E., Constantino, T., & Bigelow, J. M. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.10.014 · Cited by 28
Infraslow EEG activity modulates cortical excitability in postanoxic encephalopathy
van Putten, M. J. A. M., Tjepkema-Cloostermans, M. C., & Hofmeijer, J. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00714.2014 · Cited by 27
How noise contributes to time-scale invariance of interval timing
Oprisan, S. A., & Buhusi, C. V. (2013) · Physical Review E · doi:10.1103/physreve.87.052717 · Cited by 26
Infraslow activity as a potential modulator of corticomotor excitability
de Goede, A. A., & van Putten, M. J. A. M. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00663.2018 · Cited by 24
Imaging Acute and Chronic Pain in the Human Brainstem and Spinal Cord
Henderson, L. A., & Keay, K. A. (2017) · The Neuroscientist · doi:10.1177/1073858417703911 · Cited by 24
Infra-slow fluctuations in cortical potentials and respiration drive fast cortical EEG rhythms in sleeping and waking states
Väyrynen, T., Helakari, H., Korhonen, V. O., Tuunanen, J., Huotari, N., Piispala, J., Kallio, M., Raitamaa, L., Kananen, J., Järvelä, M., et al. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.10.013 · Cited by 22
Brainstem functional oscillations across the migraine cycle: A longitudinal investigation
Meylakh, N., Marciszewski, K. K., Pietro, F. D., Macefield, V. G., Macey, P. M., & Henderson, L. A. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102630 · Cited by 23
Functional ultrasound imaging: A useful tool for functional connectomics?
de Paz, J. M. M., & Macé, É. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118722 · Cited by 19
The Infraslow Frequency Oscillatory Transcranial Direct Current Stimulation Over the Left Dorsolateral Prefrontal Cortex Enhances Sustained Attention
Qiao, J., Li, X., Wang, Y., Wang, Y., Li, G., Lu, P., & Wang, S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.879006 · Cited by 21
Time-Frequency Representations of Brain Oscillations: Which One Is Better?
Bârzan, H., Ichim, A.-M., Moca, V. V., & Muresan, R. C. (2022) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2022.871904 · Cited by 23
Unconscious mind activates central cardiovascular network and promotes adaptation to microgravity possibly anti-aging during 1-year-long spaceflight
Otsuka, K., Cornélissen, G., Furukawa, S., Shibata, K., Kubo, Y., Mizuno, K., Aiba, T., Ohshima, H., & Mukai, C. N. (2022) · Scientific Reports · doi:10.1038/s41598-022-14858-8 · Cited by 21
Thalamic low frequency activity facilitates resting-state cortical interhemispheric MRI functional connectivity
Wang, X., Leong, A. T. L., Chan, R. W., Liu, Y., & Wu, E. X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.063 · Cited by 20
Infra-slow Fluctuation Training in Clinical Practice: A Technical History
Smith, M. L., Collura, T. F., Ferrera, J., & Vries, J. D. (2014) · NeuroRegulation · doi:10.15540/nr.1.2.187 · Cited by 21
The enigma of infra-slow fluctuations in the human EEG
Kropotov, J. D. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.928410 · Cited by 24
Source localized infraslow neurofeedback training in people with chronic painful knee osteoarthritis: A randomized, double-blind, sham-controlled feasibility clinical trial
Mathew, J., Adhia, D. B., Smith, M. L., Ridder, D. D., & Mani, R. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.899772 · Cited by 19
Stimulus detection rate and latency, firing rates and 1–40Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model
Lundqvist, M., Herman, P. A., Palva, J. M., Palva, S., Silverstein, D. N., & Lansner, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.080 · Cited by 14
Homeostatic dynamics, hysteresis and synchronization in a low-dimensional model of burst suppression
Liu, S., & Ching, S. (2016) · Journal of Mathematical Biology · doi:10.1007/s00285-016-1048-7 · Cited by 15
The human brain pacemaker: Synchronized infra-slow neurovascular coupling in patients undergoing non-pulsatile cardiopulmonary bypass
Zanatta, P., TOFFOLO, G. M., Sartori, E., Bet, A., Baldanzi, F., Agarwal, N., & Golanov, E. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.033 · Cited by 16
Scale-free amplitude modulation of low-frequency fluctuations in episodic migraine
Hodkinson, D. J., Lee, D. H., Becerra, L. R., & Borsook, D. (2019) · Pain · doi:10.1097/j.pain.0000000000001619 · Cited by 14
Electrical signaling in cochlear efferents is driven by an intrinsic neuronal oscillator
Hong, H., Zeppenfeld, D. M., & Trussell, L. O. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209565119 · Cited by 12
Effects of the glial modulator palmitoylethanolamide on chronic pain intensity and brain function
Alshelh, Z., Mills, E. P., Kosanovic, D., Pietro, F. D., Macey, P. M., Vickers, E. R., & Henderson, L. A. (2019) · Journal of Pain Research · doi:10.2147/jpr.s209657 · Cited by 13
All Phase Resetting Curves Are Bimodal, but Some Are More Bimodal Than Others
Oprisan, S. A. (2013) · ISRN Computational Biology · doi:10.1155/2013/230571 · Cited by 11
How do Neuroanatomical Changes in Individuals with Chronic Pain Result in the Constant Perception of Pain?
Henderson, L. A., & Pietro, F. D. (2016) · Pain Management · doi:10.2217/pmt.15.67 · Cited by 12
Animal Models in Epileptic Spasms and the Development of Novel Treatment Options
Barrett, K. T., Choudhary, A., Charkhand, B., & Scantlebury, M. H. (2022) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000496 · Cited by 11
Slow Brain Activity (ISA/DC) Detected by MEG
Bowyer, S. M., Shvarts, V., Moran, J. E., Mason, K. M., Barkley, G. L., & Tepley, N. (2012) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e3182624342 · Cited by 11
The contribution of inner and outer retinal photoreceptors to infra‐slow oscillations in the rat olivary pretectal nucleus
Orlowska‐Feuer, P., Allen, A. E., Storchi, R., Szkudlarek, H. J., & Lewandowski, M. H. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13184 · Cited by 10
Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders
Perez, T. M., Glue, P., Adhia, D. B., Navid, M. S., Zeng, J., Dillingham, P., Smith, M., Niazi, I. K., Young, C. K., & De Ridder, D. (2022) · Trials · doi:10.1186/s13063-022-06863-z · Cited by 8
Recent developments and challenges in positron emission tomography imaging of gliosis in chronic neuropathic pain
Emvalomenos, G. M., Kang, J. W. M., Jupp, B., Mychasiuk, R., Keay, K. A., & Henderson, L. A. (2024) · Pain · doi:10.1097/j.pain.0000000000003247 · Cited by 10
Looking for a precursor of spontaneous Sleep Slow Oscillations in human sleep: The role of the sigma activity
Menicucci, D., Piarulli, A., Allegrini, P., Bedini, R., Bergamasco, M., Laurino, M., Sebastiani, L., & Gemignani, A. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.05.006 · Cited by 9
A Magnetoencephalography Study of Pediatric Interictal Neuromagnetic Activity Changes and Brain Network Alterations Caused by Epilepsy in the High Frequency (80–1000 Hz)
Meng, L. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2898683 · Cited by 9
The Correlation of the Neuronal Long‐Range Temporal Correlations, Avalanche Dynamics with the Behavioral Scaling Laws and Interindividual Variability
Palva, J. M., & Palva, S. (2014) · Wiley eBooks · doi:10.1002/9783527651009.ch5 · Cited by 9
Infra‐slow modulation of fast beta/gamma oscillations in the mouse visual system
Orlowska‐Feuer, P., Allen, A. E., Brown, T. M., Szkudlarek, H. J., Lucas, R. J., & Storchi, R. (2021) · The Journal of Physiology · doi:10.1113/jp280030 · Cited by 8
Reproducing Infra-Slow Oscillations with Dopaminergic Modulation
Kobayashi, T., Shimada, Y., Fujiwara, K., & Ikeguchi, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-02366-z · Cited by 9
The Acute Effects of Non-concussive Head Impacts on Brain Microstructure, Chemistry and Function in Male Soccer Players: A Pilot Randomised Controlled Trial
Delang, N., Robertson, R. V., Mendoza, F. A. T., Henderson, L. A., Rae, C. D., McDonald, S. J., Desbrow, B., Irwin, C. G., Peek, A. L., Cairns, E. A., et al. (2025) · Sports Medicine - Open · doi:10.1186/s40798-025-00867-0 · Cited by 7
The role of neuron–glia interactions in the emergence of ultra-slow oscillations
Chan, S. C., Mok, S.-Y., Ng, D. W.-K., & Goh, S.-Y. (2017) · Biological Cybernetics · doi:10.1007/s00422-017-0740-z · Cited by 8
Cortical spreading depolarizations in stroke: Mechanisms, neuroprotective interventions, and monitoring techniques
Díaz-Pérez, A., de Eulate, N. A., Masvidal‐Codina, E., Illa, X., Navarro, X., Guimerà‐Brunet, A., Jiménez‐Altayó, F., & Penas, C. (2025) · GeroScience · doi:10.1007/s11357-025-01988-w · Cited by 7
The Infraslow Fluctuation of Sigma Power During Sleep: Links to Markers of Arousal and Memory Reactivation Across Development
Dimitriades, M. E., Osorio-Forero, A., Fattinger, S., von Arx, S., Kurth, S., Pugin, F., Jaramillo, V., Volk, C., Krugliakova, E., Furrer, M., et al. (2026) · Sleep Medicine · doi:10.1016/j.sleep.2025.107032 · Cited by 6
Seizure susceptibility and infraslow modulatory activity in the intracranial electroencephalogram
Joshi, R. B., Duckrow, R. B., Goncharova, I. I., Gerrard, J. L., Spencer, D. D., Hirsch, L. J., Godwin, D. W., & Zaveri, H. P. (2018) · Epilepsia · doi:10.1111/epi.14559 · Cited by 7
Infraslow EEG Changes in Infantile Spasms
Myers, K. A., Bello‐Espinosa, L. E., Wei, X., & Scantlebury, M. H. (2014) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000109 · Cited by 6
Synchronous tonic-to-bursting transitions in a neuronal hub motif
Follmann, R., Shaffer, A. L., Mobille, Z., Rutherford, G. H., & Rosa, E. (2018) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5039880 · Cited by 6
Infraslow status epilepticus: A new form of subclinical status epilepticus recorded in a child with Sturge–Weber syndrome
Bello‐Espinosa, L. E. (2015) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2015.04.031 · Cited by 5
Serotonin modulates infraslow oscillation in the dentate gyrus during non-REM sleep
Turi, G. F., Teng, S., Chen, X., Lim, E. C., Dias, C., Hu, R., Wang, R., Zhen, F., & Peng, Y. (2024) · eLife · doi:10.7554/elife.100196.4 · Cited by 24
Transcranial 1064-nm laser photobiomodulation modulates frequency-specific cortical source dynamics and functional connectivity in healthy adults
Bastola, S., Pruitt, T., Davenport, E. M., Maldjian, J. A., Liu, H., & Alexandrakis, G. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1704482 · Cited by 4
Retinal gap junctions are involved in rhythmogenesis of neuronal activity at remote locations – Study on infra-slow oscillations in the rat olivary pretectal nucleus
Orlowska‐Feuer, P., Jeczmien‐Lazur, J. S., Szkudlarek, H. J., & Lewandowski, M. H. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.09.039 · Cited by 3
VIP interneuron activity during sleep conveys the cortical infraslow oscillation
Rolle, K., Weber, L., Jan Born, A., & Niethard, N. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116669 · Cited by 4
Hippocampal Information Processing and Homeostatic Regulation During REM and Non-REM Sleep
Mizuseki, K., & Miyawaki, H. (2019) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-813743-7.00004-9 · Cited by 2
A dietary polyphenol metabolite alters CA1 excitability ex vivo and mildly affects cortico-hippocampal field potential generators in anesthetized animals
Montero-Atalaya, M., Expósito, S., Muñoz-Arnaiz, R., Makarova, J., Bartolomé, B., Martín, E. D., Moreno-Arribas, M. V., & Herreras, Ó. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad292 · Cited by 2
Stability of infraslow correlation structure in time-shifted intracranial EEG signals
Joshi, R. B., Duckrow, R. B., Goncharova, I. I., Hirsch, L. J., Spencer, D. D., Godwin, D. W., & Zaveri, H. P. (2024) · Frontiers in Network Physiology · doi:10.3389/fnetp.2024.1441294 · Cited by 2
Comparison of EEG Signal Characteristics of Subdural and Depth Electrodes
Alkawadri, C. I., Yan, Q., Kınal, A. G. K., Spencer, D. D., & Alkawadri, R. (2024) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000001139 · Cited by 2
Slow Wave Activity as Substrate of Homeostatic Regulation
Halász, P., & Bódizs, R. (2012) · Springer eBooks · doi:10.1007/978-1-4471-4333-8_7 · Cited by 2
Remediating Intractable Headache: An Effective Nonpharmacological Approach Employing Infralow Frequency Neuromodulation
Legarda, S. B., Michas-Martin, P. A., & McDermott, D. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.894856 · Cited by 2
Analysis in the frequency domain of multicomponent oscillatory modes of the human electroencephalogram extracted with multivariate empirical mode decompositionPreprint
Arrufat‐Pié, E., Estévez‐Báez, M., Estévez‐Carreras, J. M., Curbelo, C. M., Leisman, G., & Leon, C. A. B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.06.138065 · Cited by 2
Beyond Frequency Band Constraints in EEG Analysis: The Role of the Mode Decomposition in Pushing the Boundaries
Arrufat‐Pié, E., Estévez‐Báez, M., Estévez‐Carreras, J. M., Leisman, G., Machado, C., & Leon, C. A. B. (2023) · Signals · doi:10.3390/signals4030026 · Cited by 1
A Review of Cerebral Electromagnetic Infraslow Activity
Rodin, E. A. (2015) · Cited by 1
An Open-Source Micro-Watt 130-dB Delta-Sigma Modulator with 600mVpp Input Range for DC-Coupled Biosignal Acquisition
Köfinger, M., Fath, P., & Pretl, H. (2023) · IEEE Nordic Circuits and Systems Conference (NorCAS) · doi:10.1109/norcas58970.2023.10305484 · Cited by 1
Infraslow Closed-Loop Brain Training for Anxiety and Depression (ISAD): A pilot randomised, sham-controlled trial in adult females with internalizing disorders
Perez, T. M., Adhia, D. B., Glue, P., Zeng, J., Dillingham, P. W., Navid, M. S., Niazi, I. K., Young, C. K., Smith, M. L., & Ridder, D. J. M. K. D. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01279-z · Cited by 2
Trigeminal neuropathic pain: Evidence of central changes from human brain imaging investigations
Henderson, L. A. (2018) · Australian Endodontic Journal · doi:10.1111/aej.12250 · Cited by 1
Extracellular Recordings
Graziane, N., & Dong, Y. (2015) · Neuromethods · doi:10.1007/978-1-4939-3274-0_22 · Cited by 1
Extracellular Recordings
Graziane, N., & Dong, Y. (2022) · Neuromethods · doi:10.1007/978-1-0716-2589-7_22 · Cited by 1
Sleep specific changes in infra-slow and respiratory frequency drivers of cortical EEG rhythmsPreprint
Väyrynen, T., Helakari, H., Korhonen, V. O., Tuunanen, J., Huotari, N., Piispala, J., Kallio, M., Raitamaa, L., Kananen, J., Järvelä, M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.20.524831 · Cited by 1
ID 92 – Infraslow EEG activity modulates cortical excitability in postanoxic encephalopathy
van Putten, M. J. A. M., Tjepkema‐Cloostermans, M. C., & Hofmeijer, J. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.11.279
Detailed Clinical and Electrophysiological Illustration of a Patient with Sturge–Weber Syndrome Presenting with Prolonged Transient Neurological Symptoms
Önder, H. (2018) · Journal of Neurosciences in Rural Practice · doi:10.4103/jnrp.jnrp_11_18
References
(2016) · Elsevier eBooks · doi:10.1016/b978-0-12-410513-3.00030-9
The dietary polyphenol metabolite protocatechuic acid produces acute and sustained effects on hippocampal electrical activityPreprint
Montero-Atalaya, M., Muñoz-Arnaiz, R., Makarova, J., Bartolomé, B., Moreno-Arribas, M. V., & Herreras, Ó. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.12.523723
Kortikale Aktivität, EEG und Signalverarbeitung
Sidiropoulos, K., Kilian, B., & Ströhle, G. (2023) · Springer eBooks · doi:10.1007/978-3-662-65726-3_12
Music for epilepsy: impact of temporal music structure on intervention outcomes
Banks, W. R., Johnson, M. T., Clay, J. L., & Bae, J. (2026) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2026.111010

Authors: Hughes, S. W., Lőrincz, M. L., Parri, H. R., & Crunelli, V.
Affiliations: Cardiff University (GB)
Aston University (GB)
Corresponding author: Hughes, Stuart W.
ORCID: Hughes, Stuart W.
Parri, H. Rheinallt
Crunelli, Vincenzo
Venue: Progress in Brain Research
Publisher: Elsevier
Published: 2011
Volume: 193
Pages: 145-162
ISSN: 0079-6123 (ISSN-L)
DOI: 10.1016/b978-0-444-53839-0.00010-7
PMC: PMC3173874
OpenAlex: W1700298121
Cited by: 104
References: 74
Citations by year: 2026: 5 · 2025: 5 · 2024: 4 · 2023: 7 · 2022: 11 · 2021: 7 · 2020: 1 · 2019: 8 · 2018: 11 · 2017: 6 · 2016: 8 · 2015: 6 · 2014: 9 · 2013: 8 · 2012: 6
FWCI: 17.15
Type: book chapter
Language: en
Open access: green
publications.aston.ac.uk
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Progress in brain research (publishedVersion)
PubMed (publishedVersion)
Aston Publications Explorer (Aston University) (acceptedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: Wellcome Trust (078403, 78403, 091882, 91882, 78311, 071436, 71436)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Health Sciences › Medicine › Clinical Neurology › Epilepsy research and treatment
Keywords: infraslow oscillations, thalamic relay nuclei, thalamus, spontaneous brain activity, astrocytes, alpha oscillations, epilepsy, functional MRI, EEG
MeSH terms: Animals, Astrocytes, Calcium, Electroencephalography, Epilepsy, Humans, Magnetic Resonance Imaging, Neural Pathways, Neurons, Periodicity, Thalamic Nuclei

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Infraslow (<0.1Hz) oscillations in thalamic relay nuclei

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks