The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.
Neuromodulation of Brain State and Behavior
Open accessAbstract
Neural activity and behavior are both notoriously variable, with responses differing widely between repeated presentation of identical stimuli or trials. Recent results in humans and animals reveal that these variations are not random in their nature, but may in fact be due in large part to rapid shifts in neural, cognitive, and behavioral states. Here we review recent advances in the understanding of rapid variations in the waking state, how variations are generated, and how they modulate neural and behavioral responses in both mice and humans. We propose that the brain has an identifiable set of states through which it wanders continuously in a nonrandom fashion, owing to the activity of both ascending modulatory and fast-acting corticocortical and subcortical-cortical neural pathways. These state variations provide the backdrop upon which the brain operates, and understanding them is critical to making progress in revealing the neural mechanisms underlying cognition and behavior.
Overview
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
Cites
Statistics
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Sleep is a brain state that is characterized by a large-scale organization of neuronal activity that captures virtually all brain regions”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [8]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
The relation of strength of stimulus to rapidity of habit formation
Yerkes, R. M., & Dodson, J. D. (1908) · Journal of Comparative Neurology and Psychology · doi:10.1002/cne.920180503 · Cited by 6,911
Sleep Drives Metabolite Clearance from the Adult Brain
Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., et al. (2013) · Science · doi:10.1126/science.1241224 · Cited by 5,411
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
The brain's default mode network
Raichle, M. E. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014030 · Cited by 3,904
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564
Self-citationA mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612
Tononi, G., & Cirelli, C. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.025 · Cited by 2,356
Huber, R., Felice Ghilardi, M., Massimini, M., & Tononi, G. (2004) · Nature · doi:10.1038/nature02663 · Cited by 1,854
The locus coeruleus and noradrenergic modulation of cognition
Sara, S. J. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2573 · Cited by 1,848
Cellular and network mechanisms of rhythmic recurrent activity in neocortex
Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539
Self-citationLow-frequency neuronal oscillations as instruments of sensory selection
Schroeder, C. E., & Lakatos, P. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.012 · Cited by 1,528
Spontaneous behaviors drive multidimensional, brainwide activity
Stringer, C., Pachitariu, M., Steinmetz, N., Reddy, C. B., Carandini, M., & Harris, K. D. (2019) · Science · doi:10.1126/science.aav7893 · Cited by 1,510
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483
Control of sleep and wakefulness
Brown, R. E., Basheer, R., McKenna, J. T., Strecker, R. E., & McCarley, R. W. (2012) · Physiological Reviews · doi:10.1152/physrev.00032.2011 · Cited by 1,477
Pfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353
Natural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., & Grenier, F. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.5.1969 · Cited by 1,296
Sleep and arousal: thalamocortical mechanisms
McCormick, D. A., & Bal, T. (1997) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.20.1.185 · Cited by 1,267
Self-citationAttention improves performance primarily by reducing interneuronal correlations
Cohen, M. R., & Maunsell, J. H. R. (2009) · Nature Neuroscience · doi:10.1038/nn.2439 · Cited by 1,163
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Cortical interneurons that specialize in disinhibitory control
Pi, H.-J., Hangya, B., Kvitsiani, D., Sanders, J. I., Huang, Z. J., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12676 · Cited by 1,136
Single-trial neural dynamics are dominated by richly varied movements
Musall, S., Kaufman, M. T., Juavinett, A., Gluf, S., & Churchland, A. K. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0502-4 · Cited by 1,102
Stimulus onset quenches neural variability: A widespread cortical phenomenon
Churchland, M. M., Yu, B. M., Cunningham, J. P., Sugrue, L. P., Cohen, M. R., Corrado, G. S., Newsome, W. T., Clark, A. M., Hosseini, P., Scott, B. B., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2501 · Cited by 1,084
Orienting and reorienting: the locus coeruleus mediates cognition through arousal
Sara, S. J., & Bouret, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.011 · Cited by 1,056
To See or Not to See: Prestimulus α Phase Predicts Visual Awareness
Mathewson, K. E., Gratton, G., Fabiani, M., Beck, D. M., & Ro, T. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3963-08.2009 · Cited by 1,011
Tuning arousal with optogenetic modulation of locus coeruleus neurons
Carter, M. E., Yizhar, O., Chikahisa, S., Nguyen, H., Adamantidis, A., Nishino, S., Deisseroth, K., & de Lecea, L. (2010) · Nature Neuroscience · doi:10.1038/nn.2682 · Cited by 993
Neural Circuitry of Wakefulness and Sleep
Scammell, T. E., Arrigoni, E., & Lipton, J. O. (2017) · Neuron · doi:10.1016/j.neuron.2017.01.014 · Cited by 966
Haider, B., Duque, A., Hasenstaub, A. R., & McCormick, D. A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.5297-05.2006 · Cited by 962
Self-citationFeature-based attention in visual cortex
Maunsell, J. H. R., & Treue, S. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.04.001 · Cited by 960
A Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937 · cited 1×
“This activity dependence appears to be largely driven by the activation of nicotinic receptors (Fu et al. 2014).”
BackgroundPupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex
Reimer, J., McGinley, M. J., Liu, Y., Rodenkirch, C., Wang, Q., McCormick, D. A., & Tolias, A. S. (2016) · Nature Communications · doi:10.1038/ncomms13289 · Cited by 926
Self-citationRegional Slow Waves and Spindles in Human Sleep
Nir, Y., Staba, R. J., Andrillon, T., Vyazovskiy, V. V., Cirelli, C., Fried, I., & Tononi, G. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.043 · Cited by 924
Harris, K. D., & Thiele, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3084 · Cited by 915
Brain network dynamics are hierarchically organized in time
Vidaurre, D., Smith, S. M., & Woolrich, M. W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705120114 · Cited by 883
Vyazovskiy, V. V., Olcese, U., Hanlon, E. C., Nir, Y., Cirelli, C., & Tononi, G. (2011) · Nature · doi:10.1038/nature10009 · Cited by 865
A disinhibitory microcircuit for associative fear learning in the auditory cortex
Letzkus, J. J., Wolff, S. B. E., Meyer, E. M. M., Tovote, P., Courtin, J., Herry, C., & Lüthi, A. (2011) · Nature · doi:10.1038/nature10674 · Cited by 840 · cited 1×
“These areas exhibit activity during delay periods between stimulus and motor response that is consistent with attractor network dynamics that may prepare the animal for the response (Guo et al. 2014; Inagaki et al. 2018, 2019; Li et al. 2015, 2016; Salkoff et al. 2020; Zagha et al. 2015).”
BackgroundPrestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability
van Dijk, H., Schoffelen, J., Oostenveld, R., & Jensen, O. B. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-07.2008 · Cited by 831
Arousal and Locomotion Make Distinct Contributions to Cortical Activity Patterns and Visual Encoding
Vinck, M., Batista-Brito, R., Knoblich, U., & Cardin, J. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.028 · Cited by 819
Increased Attention Enhances Both Behavioral and Neuronal Performance
Spitzer, H., Desimone, R., & Moran, J. (1988) · Science · doi:10.1126/science.3353728 · Cited by 815
Long-range and local circuits for top-down modulation of visual cortex processing
Zhang, S., Xu, M., Kamigaki, T., Hoang Do, J. P., Chang, W.-C., Jenvay, S., Miyamichi, K., Luo, L., & Dan, Y. (2014) · Science · doi:10.1126/science.1254126 · Cited by 804
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
Self-citationDistributed coding of choice, action and engagement across the mouse brain
Steinmetz, N. A., Zatka-Haas, P., Carandini, M., & Harris, K. D. (2019) · Nature · doi:10.1038/s41586-019-1787-x · Cited by 797
A disinhibitory circuit mediates motor integration in the somatosensory cortex
Lee, S., Kruglikov, I., Huang, Z. J., Fishell, G., & Rudy, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3544 · Cited by 758
Cortical membrane potential signature of optimal states for sensory signal detection
McGinley, M. J., David, S. V., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.038 · Cited by 728
Self-citationPupil fluctuations track fast switching of cortical states during quiet wakefulness
Reimer, J., Froudarakis, E., Cadwell, C. R., Yatsenko, D., Denfield, G. H., & Tolias, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.033 · Cited by 717 · cited 4×
“…of waking mice reveals that they are strongly activated by facial movements, locomotion, and arousal (Eggermann et al. 2014, Lee et al. 2014, Reimer et al. 2016), suggesting that these transmitter pathways may participate in the network dynamics associated with the sustained…”
BackgroundInfluentialFlow of cortical activity underlying a tactile decision in mice
Guo, Z. V., Li, N., Huber, D., Ophir, E., Gutnisky, D., Ting, J. T., Feng, G., & Svoboda, K. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.020 · Cited by 715 · cited 1×
“These areas exhibit activity during delay periods between stimulus and motor response that is consistent with attractor network dynamics that may prepare the animal for the response (Guo et al. 2014; Inagaki et al. 2018, 2019; Li et al. 2015, 2016; Salkoff et al. 2020; Zagha et al. 2015).”
BackgroundThe role of locus coeruleus in the regulation of cognitive performance
Usher, M., Cohen, J. D., Servan-Schreiber, D., Rajkowski, J., & Aston-Jones, G. (1999) · Science · doi:10.1126/science.283.5401.549 · Cited by 715
Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.013 · Cited by 710
Neuromodulation of Brain States
Lee, S., & Dan, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.012 · Cited by 697
Electrophysiological correlates of the brain's intrinsic large-scale functional architecture
He, B. J., Snyder, A. Z., Zempel, J. M., Smyth, M. D., & Raichle, M. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807010105 · Cited by 670
Self-citationCellular mechanisms of brain state-dependent gain modulation in visual cortex
Polack, P.-O., Friedman, J., & Golshani, P. (2013) · Nature Neuroscience · doi:10.1038/nn.3464 · Cited by 628
Anticipated moments: temporal structure in attention
Nobre, A. C., & van Ede, F. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.141 · Cited by 615
Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations
Luczak, A., Barthó, P., & Harris, K. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.014 · Cited by 593
A synaptic and circuit basis for corollary discharge in the auditory cortex
Schneider, D. M., Nelson, A., & Mooney, R. (2014) · Nature · doi:10.1038/nature13724 · Cited by 580
Metherate, R., Cox, C. L., & Ashe, J. H. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04701.1992 · Cited by 575
A motor cortex circuit for motor planning and movement
Li, N., Chen, T., Guo, Z. V., Gerfen, C. R., & Svoboda, K. (2015) · Nature · doi:10.1038/nature14178 · Cited by 571
Basal forebrain activation enhances cortical coding of natural scenes
Goard, M. J., & Dan, Y. (2009) · Nature Neuroscience · doi:10.1038/nn.2402 · Cited by 558
Correlating whisker behavior with membrane potential in barrel cortex of awake mice
Crochet, S., & Petersen, C. (2006) · Nature Neuroscience · doi:10.1038/nn1690 · Cited by 556
Brain networks and cognitive architectures
Petersen, S. E., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.027 · Cited by 553
Arnsten, A. F. T., Wang, M. J., & Paspalas, C. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.038 · Cited by 538
Fast modulation of visual perception by basal forebrain cholinergic neurons
Pinto, L., Goard, M. J., Estandian, D., Xu, M., Kwan, A. C., Lee, S.-H., Harrison, T. C., Feng, G., & Dan, Y. (2013) · Nature Neuroscience · doi:10.1038/nn.3552 · Cited by 529
Baseline brain activity fluctuations predict somatosensory perception in humans
Boly, M., Balteau, E., Schnakers, C., Degueldre, C., Moonen, G., Luxen, A., Phillips, C., Peigneux, P., Maquet, P., & Laureys, S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611404104 · Cited by 529
Brain Circuits for the Internal Monitoring of Movements
Sommer, M. A., & Wurtz, R. H. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125627 · Cited by 508
Robust neuronal dynamics in premotor cortex during motor planning
Li, N., Daie, K., Svoboda, K., & Druckmann, S. (2016) · Nature · doi:10.1038/nature17643 · Cited by 492 · cited 1×
“These areas exhibit activity during delay periods between stimulus and motor response that is consistent with attractor network dynamics that may prepare the animal for the response (Guo et al. 2014; Inagaki et al. 2018, 2019; Li et al. 2015, 2016; Salkoff et al. 2020; Zagha et al. 2015).”
BackgroundMonto, S., Palva, S., Voipio, J., & Palva, J. M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1910-08.2008 · Cited by 453
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441
Self-citationDisinhibition, a Circuit Mechanism for Associative Learning and Memory
Letzkus, J. J., Wolff, S. B. E., & Lüthi, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.024 · Cited by 430
Membrane potential dynamics of GABAergic neurons in the barrel cortex of behaving mice
Gentet, L. J., Avermann, M., Matyas, F., Staiger, J. F., & Petersen, C. C. H. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.006 · Cited by 429 · cited 1×
“…(Figure 4), in a manner that is reminiscent of the slow oscillation prevalent during drowsiness and sleep (Bennett et al. 2013, Crochet & Petersen 2006, Gentet et al. 2010, McGinley et al. 2015a, Nelson & Mooney 2016, Petersen 2019, Polack et al. 2013, Poulet & Crochet 2018, Reimer et al. 2014).”
BackgroundEffects and Mechanisms of Wakefulness on Local Cortical Networks
Constantinople, C. M., & Bruno, R. M. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.040 · Cited by 403
From Behavior to Neural Dynamics: An Integrated Theory of Attention
Buschman, T. J., & Kästner, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.017 · Cited by 399
Membrane potential correlates of sensory perception in mouse barrel cortex
Sachidhanandam, S., Sreenivasan, V., Kyriakatos, A., Kremer, Y., & Petersen, C. C. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3532 · Cited by 384
Wake–sleep circuitry: an overview
Saper, C. B., & Fuller, P. M. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.021 · Cited by 383
A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions
Leinweber, M., Ward, D. R., Sobczak, J. M., Attinger, A., & Keller, G. B. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.036 · Cited by 375
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350
Neuronal Mechanisms of Visual Attention
Maunsell, J. H. R. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035431 · Cited by 346
Behavioral Modulation of Tactile Responses in the Rat Somatosensory System
Fanselow, E. E., & Nicolelis, M. A. L. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-17-07603.1999 · Cited by 345
Heterogeneous organization of the locus coeruleus projections to prefrontal and motor cortices
Chandler, D. J., Gao, W.-J., & Waterhouse, B. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320827111 · Cited by 341
Discrete attractor dynamics underlies persistent activity in the frontal cortex
Inagaki, H. K., Fontolan, L., Romani, S., & Svoboda, K. (2019) · Nature · doi:10.1038/s41586-019-0919-7 · Cited by 334
Spontaneous local variations in ongoing neural activity bias perceptual decisions
Hesselmann, G., Kell, C. A., Eger, E., & Kleinschmidt, A. K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712043105 · Cited by 333
Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
Sadaghiani, S., Hesselmann, G., & Kleinschmidt, A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2592-09.2009 · Cited by 325
Thalamic control of cortical states
Poulet, J. F. A., Fernandez, L. M. J., Crochet, S., & Petersen, C. C. H. (2012) · Nature Neuroscience · doi:10.1038/nn.3035 · Cited by 319
Boucetta, S., Cissé, Y., Mainville, L., Morales, M., & Jones, B. E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2617-13.2014 · Cited by 307
Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence
Anton-Erxleben, K., & Carrasco, M. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3443 · Cited by 302
Barrages of Synaptic Activity Control the Gain and Sensitivity of Cortical Neurons
Shu, Y., Hasenstaub, A., Badoual, M., Bal, T., & McCormick, D. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-32-10388.2003 · Cited by 298
Self-citationSubthreshold mechanisms underlying state-dependent modulation of visual responses
Bennett, C., Arroyo, S., & Hestrin, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.007 · Cited by 292
Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability
Iemi, L., Chaumon, M., Crouzet, S. M., & Busch, N. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1432-16.2016 · Cited by 291
Vision and Locomotion Shape the Interactions between Neuron Types in Mouse Visual Cortex
Dipoppa, M., Ranson, A., Krumin, M., Pachitariu, M., Carandini, M., & Harris, K. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.037 · Cited by 290
Jones, B. E. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0444-2 · Cited by 283
Sensorimotor processing in the rodent barrel cortex
Petersen, C. C. H. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0200-y · Cited by 283
Identification of a brainstem circuit regulating visual cortical state in parallel with locomotion
Lee, A. M., Hoy, J. L., Bonci, A., Wilbrecht, L., Stryker, M. P., & Niell, C. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.06.031 · Cited by 282
Spontaneous and Task-Evoked Brain Activity Negatively Interact
He, B. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2922-12.2013 · Cited by 272
Self-citationMotor cortex feedback influences sensory processing by modulating network state
Zagha, E., Casale, A. E., Sachdev, R. N. S., McGinley, M. J., & McCormick, D. A. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.008 · Cited by 268
Self-citationEffects of locomotion extend throughout the mouse early visual system
Erisken, S., Vaiceliunaite, A., Jurjut, O., Fiorini, M., Katzner, S., & Busse, L. (2014) · Current Biology · doi:10.1016/j.cub.2014.10.045 · Cited by 256
Making Waves: Initiation and Propagation of Corticothalamic Ca2+ Waves In Vivo
Stroh, A., Adelsberger, H., Groh, A., Rühlmann, C., Fischer, S., Schierloh, A., Deisseroth, K. A., & Konnerth, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.031 · Cited by 249
Locomotion controls spatial integration in mouse visual cortex
Ayaz, A., Saleem, A. B., Schölvinck, M. L., & Carandini, M. (2013) · Current Biology · doi:10.1016/j.cub.2013.04.012 · Cited by 249
Cholinergic signals in mouse barrel cortex during active whisker sensing
Eggermann, E., Kremer, Y., Crochet, S., & Petersen, C. C. H. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.11.005 · Cited by 234
Infraslow LFP correlates to resting-state fMRI BOLD signals
Pan, W.-J., Thompson, G. J., Magnuson, M. E., Jaeger, D., & Keilholz, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.035 · Cited by 231
Ancestral Circuits for the Coordinated Modulation of Brain State
Lovett-Barron, M., Andalman, A. S., Allen, W. E., Vesuna, S., Kauvar, I., Burns, V. M., & Deisseroth, K. (2017) · Cell · doi:10.1016/j.cell.2017.10.021 · Cited by 212
Sensory stimulation shifts visual cortex from synchronous to asynchronous states
Tan, A. Y. Y., Chen, Y., Scholl, B., Seidemann, E., & Priebe, N. J. (2014) · Nature · doi:10.1038/nature13159 · Cited by 206
Specific basal forebrain-cortical cholinergic circuits coordinate cognitive operations
Záborszky, L., Gombkoto, P., Varsanyi, P., Gielow, M. R., Poe, G., Role, L. W., Ananth, M., Rajebhosale, P., Talmage, D. A., Hasselmo, M. E., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1676-18.2018 · Cited by 202
Brain state dependent activity in the cortex and thalamus
McCormick, D. A., McGinley, M. J., & Salkoff, D. B. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.003 · Cited by 198
Self-citationState changes rapidly modulate cortical neuronal responsiveness
Hasenstaub, A., Sachdev, R. N. S., & McCormick, D. A. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2184-07.2007 · Cited by 196
Self-citationSelective neuronal lapses precede human cognitive lapses following sleep deprivation
Nir, Y., Andrillon, T., Marmelshtein, A., Suthana, N., Cirelli, C., Tononi, G., & Fried, I. (2017) · Nature Medicine · doi:10.1038/nm.4433 · Cited by 196
Spontaneous Infra-slow Brain Activity Has Unique Spatiotemporal Dynamics and Laminar Structure
Mitra, A., Kraft, A., Wright, P., Acland, B., Snyder, A. Z., Rosenthal, Z., Czerniewski, L., Bauer, A., Snyder, L., Culver, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.015 · Cited by 193
Weisz, N., Wühle, A., Monittola, G., Demarchi, G., Frey, J. N., Popov, T. G., & Braun, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317267111 · Cited by 192
Nelson, A., & MOONEY, R. D. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.031 · Cited by 192
A Motor Theory of Sleep-Wake Control: Arousal-Action Circuit
Liu, D., & Dan, Y. (2019) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061813 · Cited by 192
Zagha, E., & McCormick, D. A. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.09.010 · Cited by 191
Self-citationNeuronal Substrates of Sleep and Epilepsy
Labiner, D. M. (2004) · SLEEP · doi:10.1093/sleep/27.2.344 · Cited by 191
Learning and attention reveal a general relationship between population activity and behavior
Ni, A. M., Ruff, D. A., Alberts, J. J., Symmonds, J., & Cohen, M. R. (2018) · Science · doi:10.1126/science.aao0284 · Cited by 188
Membrane Potential Dynamics of Neocortical Projection Neurons Driving Target-Specific Signals
Yamashita, T., Pala, A., Pedrido, L., Kremer, Y., Welker, E., & Petersen, C. C. H. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.059 · Cited by 185
The Locus Coeruleus Is a Complex and Differentiated Neuromodulatory System
Totah, N. K., Neves, R. M., Panzeri, S., Logothetis, N. K., & Eschenko, O. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.037 · Cited by 179
Primary Motor Cortex Reports Efferent Control of Vibrissa Motion on Multiple Timescales
Hill, D. N., Curtis, J. C., Moore, J. D., & Kleinfeld, D. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.020 · Cited by 177
Vascular and neural basis of the BOLD signal
Drew, P. J. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.06.004 · Cited by 165
Movement and Performance Explain Widespread Cortical Activity in a Visual Detection Task
Salkoff, D. B., Zagha, E., McCarthy, E., & McCormick, D. A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz206 · Cited by 157
Self-citationLaminar Organization of Attentional Modulation in Macaque Visual Area V4
Nandy, A. S., Nassi, J. J., & Reynolds, J. H. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.029 · Cited by 155
Bernardi, G., Siclari, F., Yu, X., Zennig, C., Bellesi, M., Ricciardi, E., Cirelli, C., Ghilardi, M. F., Pietrini, P., & Tononi, G. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4567-14.2015 · Cited by 153
Arousal Modulates Retinal Output
Schröder, S., Steinmetz, N. A., Krumin, M., Pachitariu, M., Rizzi, M., Lagnado, L., Harris, K. D., & Carandini, M. (2020) · Neuron · doi:10.1016/j.neuron.2020.04.026 · Cited by 149
Kim, J., Jung, A.-H., Jeong, D., Choi, I., Kim, K., Shin, S., Kim, S. J., & Lee, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4333-15.2016 · Cited by 148
Multiplicative Gain Changes Are Induced by Excitation or Inhibition Alone
Murphy, B. K., & Miller, K. D. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-31-10040.2003 · Cited by 144
Yellin, D., Berkovich‐Ohana, A., & Malach, R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.034 · Cited by 136
Conscious updating is a rhythmic process
Chakravarthi, R., & VanRullen, R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121622109 · Cited by 132
Enhancement of visual responsiveness by spontaneous local network activity in vivo
Haider, B., Duque, A., Hasenstaub, A. R., Yu, Y., & McCormick, D. A. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01114.2006 · Cited by 130
Self-citationThe Cortical States of Wakefulness
Poulet, J. F. A., & Crochet, S. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00064 · Cited by 126
Spatiotemporal specificity in cholinergic control of neocortical function
Muñoz, W., & Rudy, B. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.02.015 · Cited by 124
Sensory coding and the causal impact of mouse cortex in a visual decision
Zatka-Haas, P., Steinmetz, N. A., Carandini, M., & Harris, K. D. (2021) · eLife · doi:10.7554/elife.63163 · Cited by 122
Beta oscillations define discrete perceptual cycles in the somatosensory domain
Baumgarten, T. J., Schnitzler, A., & Lange, J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501438112 · Cited by 118
How Movement Modulates Hearing
Schneider, D. M., & MOONEY, R. D. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031215 · Cited by 113
Low-dimensional and monotonic preparatory activity in mouse anterior lateral motor cortex
Inagaki, H. K., Inagaki, M., Romani, S., & Svoboda, K. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.3152-17.2018 · Cited by 111
Effects of Arousal on Mouse Sensory Cortex Depend on Modality
Shimaoka, D., Harris, K. D., & Carandini, M. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.092 · Cited by 110
Waschke, L., Tune, S., & Obleser, J. (2019) · eLife · doi:10.7554/elife.51501 · Cited by 106
Origins of arousal: roles for medullary reticular neurons
Pfaff, D. W., Martin, E. M., & Faber, D. S. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.04.008 · Cited by 101
On the relationship between slow cortical potentials and BOLD signal changes in humans
Khader, P., Schicke, T., Röder, B., & Rösler, F. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.018 · Cited by 99
Neural Variability Quenching Predicts Individual Perceptual Abilities
Arazi, A., Censor, N., & Dinstein, I. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1671-16.2016 · Cited by 97
Yamashita, T., & Petersen, C. C. (2016) · eLife · doi:10.7554/elife.15798 · Cited by 96
Acetylcholine excites neocortical pyramidal neurons via nicotinic receptors
Hedrick, T. P., & Waters, J. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00716.2014 · Cited by 92
Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations
van den Brink, R. L., Pfeffer, T. A., & Donner, T. H. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00340 · Cited by 85
Competing Neural Ensembles in Motor Cortex Gate Goal-Directed Motor Output
Zagha, E., Ge, X., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.044 · Cited by 84
Self-citationKahn, I., Knoblich, U., Desai, M., Bernstein, J., Graybiel, A. M., Boyden, E. S., Buckner, R. L., & Moore, C. I. (2013) · Brain Research · doi:10.1016/j.brainres.2013.03.011 · Cited by 83
Contextual signals in visual cortex
Khan, A. G., & Hofer, S. B. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.05.003 · Cited by 83
Beaman, C. B., Eagleman, S. L., & Dragoi, V. (2017) · Nature Communications · doi:10.1038/s41467-017-01030-4 · Cited by 80
Cortical State Fluctuations during Sensory Decision MakingPreprint
Jacobs, E. A. K., Steinmetz, N. A., Peters, A. J., Carandini, M., & Harris, K. (2018) · bioRxiv · doi:10.1101/348193 · Cited by 77
He, B. J., & Zempel, J. M. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003348 · Cited by 75
Self-citationEncoding of 3D Head Orienting Movements in the Primary Visual Cortex
Guitchounts, G., Masis, J. A., Wolff, S. B. E., & Cox, D. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.014 · Cited by 72
Williamson, R. S., Hancock, K. E., Shinn‐Cunningham, B. G., & Polley, D. B. (2015) · Current Biology · doi:10.1016/j.cub.2015.05.045 · Cited by 70
Initial-state-dependent, robust, transient neural dynamics encode conscious visual perception
Baria, A. T., Maniscalco, B., & He, B. J. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005806 · Cited by 70
Self-citationA dual role of prestimulus spontaneous neural activity in visual object recognition
Podvalny, E., Flounders, M. W., King, L. E., Holroyd, T., & He, B. J. (2019) · Nature Communications · doi:10.1038/s41467-019-11877-4 · Cited by 69
Self-citationCortical State Fluctuations during Sensory Decision Making
Jacobs, E. A. K., Steinmetz, N. A., Peters, A. J., Carandini, M., & Harris, K. D. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.067 · Cited by 69
Head Movements Control the Activity of Primary Visual Cortex in a Luminance-Dependent Manner
Bouvier, G., Senzai, Y., & Scanziani, M. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.004 · Cited by 64
When Attention Wanders: How Uncontrolled Fluctuations in Attention Affect Performance
Cohen, M. R., & Maunsell, J. H. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3063-11.2011 · Cited by 63
Cognition as a Window into Neuronal Population Space
Ruff, D. A., Ni, A. M., & Cohen, M. R. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061936 · Cited by 63
Einstein, M., Polack, P., Tran, D. T., & Golshani, P. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3868-16.2017 · Cited by 62
Steinmetz, N. A., & Moore, T. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00689.2009 · Cited by 59
Neske, G. T., Nestvogel, D., Steffan, P. J., & McCormick, D. A. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1226-18.2019 · Cited by 59
Self-citationSpatial attention enhances network, cellular and subthreshold responses in mouse visual cortex
Speed, A., Rosario, J. D., Mikail, N., & Haider, B. (2020) · Nature Communications · doi:10.1038/s41467-020-14355-4 · Cited by 57
Acute Exercise Modulates Feature-selective Responses in Human Cortex
Bullock, T., Elliott, J. C., Serences, J. T., & Giesbrecht, B. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01082 · Cited by 56
Dasgupta, R., Seibt, F., & Beierlein, M. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0566-18.2018 · Cited by 47
Cortical State Fluctuations across Layers of V1 during Visual Spatial Perception
Speed, A., Rosario, J. D., Burgess, C., & Haider, B. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.045 · Cited by 47
Meir, I., Katz, Y., & Lampl, I. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1159-18.2018 · Cited by 46
Slow Brain Potentials and Behavior
Rosenfeld, P. J., Rockstroh, B. S., Elbert, T. R., Birbaumer, N., & Lutzenberger, W. (1984) · The American Journal of Psychology · doi:10.2307/1422614 · Cited by 40
Sensory Prioritization in Rats: Behavioral Performance and Neuronal Correlates
Lee, C. C. Y., Diamond, M. E., & Arabzadeh, E. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3636-15.2016 · Cited by 36
Voltage-sensitive dye imaging of mouse neocortex during a whisker detection task
Kyriakatos, A., Sadashivaiah, V., Zhang, Y., Motta, A., Auffret, M., & Petersen, C. C. H. (2016) · Neurophotonics · doi:10.1117/1.nph.4.3.031204 · Cited by 33
Optogenetically induced low-frequency correlations impair perception
Nandy, A. S., Nassi, J. J., Jadi, M. P., & Reynolds, J. H. (2019) · eLife · doi:10.7554/elife.35123 · Cited by 33
State-aware detection of sensory stimuli in the cortex of the awake mouse
Sederberg, A., Pala, A., Zheng, H. J. V., He, B. J., & Stanley, G. B. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006716 · Cited by 22
Self-citationZhang, M., Wang, X., & Goldberg, M. E. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407540111 · Cited by 21
Robust, Transient Neural Dynamics during Conscious Perception
He, B. J. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.04.005 · Cited by 21
Self-citationDistinct contributions of mouse cortical areas to visual discriminationPreprint
Zatka-Haas, P., Steinmetz, N. A., Carandini, M., & Harris, K. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/501627 · Cited by 21
Retinal outputs depend on behavioural statePreprint
Schröder, S., Steinmetz, N. A., Krumin, M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/638049 · Cited by 11
Encoding of 3D Head Orienting Movements in Primary Visual CortexPreprint
Guitchounts, G., Masis, J. A., Wolff, S. B. E., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.16.909473 · Cited by 7
Head Movements Control the Activity of Primary Visual Cortex in a Luminance Dependent MannerPreprint
Bouvier, G., Senzai, Y., & Scanziani, M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.20.913160 · Cited by 5
Research works printed but not linked: 1
- Caton R., 1887, Transactions of the International Medical Congress: Ninth Session, 3, 246
Cited by
Sorted by citations
Sleep—A brain-state serving systems memory consolidation
Brodt, S., Inostroza, M., Niethard, N., & Born, J. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.005 · Cited by 343
The emergence and influence of internal states
Flavell, S. W., Gogolla, N., Lovett-Barron, M., & Zelikowsky, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.04.030 · Cited by 246
Natural behavior is the language of the brain
Miller, C. T., Gire, D. H., Hoke, K. L., Huk, A. C., Kelley, D. B., Leopold, D. A., Smear, M. C., Theunissen, F. E., Yartsev, M. M., & Niell, C. M. (2022) · Current Biology · doi:10.1016/j.cub.2022.03.031 · Cited by 179
The brain’s action-mode network
Dosenbach, N. U. F., Raichle, M. E., & Gordon, E. M. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00895-x · Cited by 224
Noradrenergic modulation of rhythmic neural activity shapes selective attention
Dahl, M. J., Mather, M., & Werkle‐Bergner, M. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.10.009 · Cited by 165
“Hence, acetylcholine promotes cortical desynchronization, similar to the action of noradrenaline [9,11,31,83].”
BackgroundInfluential
Metadata
- Authors
- McCormick, D. A., Nestvogel, D. B., & He, B. J.
- Affiliations
- University of Oregon (US)
- NYU Langone Health (US)
- Corresponding author
- McCormick, David A.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2020-07-08
- Volume
- 43
- Issue
- 1
- Pages
- 391-415
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC12237593
- OpenAlex
- W3014163957
- Cited by
- 303
- References
- 167
- Citations by year
- 2026: 40 · 2025: 60 · 2024: 72 · 2023: 48 · 2022: 41 · 2021: 36 · 2020: 6
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R01DC015803)
- National Institute of Neurological Disorders and Stroke (R35NS097287)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- brain states, neural state transitions, behavioral state transitions, neuromodulation, cortico-cortical pathways, neural variability, cognitive states
- MeSH terms
- Animals, Behavior, Brain, Cerebral Cortex, Humans, Nerve Net, Neural Pathways, Neurons
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