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
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
Items 101–200 of 304
Beerendonk, L., Mejías, J. F., Nuiten, S. A., de Gee, J. W., Fahrenfort, J. J., & van Gaal, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.28.550956 · Cited by 10
Lee, W., Kim, E., Park, J., Eo, J., Jeong, B., & Park, H. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120797 · Cited by 10
“However, we must also consider the presence of oscillatory components that persist over extended periods, potentially related to states of alertness (Stevner et al., 2019; McCormick et al., 2020; Huang et al., 2023).”
BackgroundUnderstanding cognitive processes across spatial scales of the brain
Song, H., Park, J., & Rosenberg, M. D. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.09.009 · Cited by 11
“Others, such as motor action, reward processing, and engagement, are represented simultaneously at a whole-brain scale in rodents, potentially modulated by neuromodulatory tone [45].”
Liu, X., Hike, D., Choi, S., Man, W., Ran, C., Zhou, X. A., Jiang, Y., & Yu, X. (2024) · Nature Communications · doi:10.1038/s41467-024-53878-y · Cited by 9
Madden, M. B., Schaefgen, C., Vedak, B., Kwon, J., Pedra, K. S. D., Sheats, S. H., Puché, A. C., Wolff, S. B. E., & Mathur, B. N. (2025) · Nature Communications · doi:10.1038/s41467-025-62980-8 · Cited by 14
“Cognitive control is shaped not only by external environmental demands, but by internal brain-states, both of which are supported through the activity of neuromodulator systems that project broadly across the brain 1 – 8 .”
Song, Y., Zhang, T., Ryu, T. H., Wong, K., Wu, Z., Wei, Y., Schweizer, J., Nguyen, K.-N. H., Kwan, A., Zhang, X., et al. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003345 · Cited by 9
Brain-wide functional connectivity of face patch neurons during rest
Zaldivar, D., Koyano, K. W., Ye, F. Q., Godlove, D. C., Park, S. H., Russ, B. E., Bhik‐Ghanie, R., & Leopold, D. A. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2206559119 · Cited by 9
“Normal brain function entails a complex interplay among neural networks operating at multiple spatial and temporal scales (1, 2).”
BackgroundDong, S., Yan, J., Xie, Z., Yuan, Y., & Ji, H. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/aca799 · Cited by 9
Tsuda, B., Pate, S. C., Tye, K. M., Siegelmann, H. T., & B, T. J. S. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.31.446462 · Cited by 9
Spontaneous movements and their impact on neural activity fluctuate with latent engagement statesPreprint
Yin, C., Melin, M. D., Rojas-Bowe, G., Couto, J., Sun, X., Gluf, S., Kostiuk, A., Musall, S., & Churchland, A. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.26.546404 · Cited by 10
“Cell-type Cell-type specific measurements/manipulation are also needed, and perhaps should extend to astrocytes as well as neurons 6,58,59,51,60 .”
Scharfen, H., & Memmert, D. (2024) · Consciousness and Cognition · doi:10.1016/j.concog.2024.103700 · Cited by 10
Nuiten, S. A., de Gee, J. W., Zantvoord, J. B., Fahrenfort, J. J., & van Gaal, S. (2024) · eNeuro · doi:10.1523/eneuro.0019-24.2024 · Cited by 8
“Recent empirical work also suggests that the arousal state of an organism, driven by neuromodulator systems (Aston-Jones and Cohen, 2005; McCormick et al., 2020), may differentially affect perceptual and metacognitive decision-making.”
BackgroundSensory Encoding Alternates With Hippocampal Ripples across Cycles of Forebrain Spiking Cascades
Yang, Y., Leopold, D. A., Duyn, J. H., Sipe, G. O., & Liu, X. (2025) · Advanced Science · doi:10.1002/advs.202406224 · Cited by 9
Neural models for detection and classification of brain states and transitions
Marin‐Llobet, A., Manasanch, A., Porta, L. D., Torao‐Angosto, M., & Sanchez-Vives, M. V. (2025) · Communications Biology · doi:10.1038/s42003-025-07991-3 · Cited by 8
“Wakefulness and deep anesthesia are two extremes within a much broader spectrum of possible brain states 1,33 , and the study of different levels of anesthesia on corticaldynamicsprovidesanavenueforthisresearch 34,35 generatingdiverse spatiotemporal patterns corresponding to brain states with…”
Bulumulla, C., Zhang, D., Walpita, D., Iyer, N., Eddison, M., Ackerman, D., Otsuna, H., Zhao, X., Zhang, S., Gao, S. M., et al. (2026) · Science Advances · doi:10.1126/sciadv.aei0203 · Cited by 8
Pupil-linked Arousal Signals in the Midbrain Superior Colliculus
Wang, C., White, B. J., & Munoz, D. P. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01863 · Cited by 7
Samara, M. A., Oikonomou, G. D., Trompoukis, G., Madarou, G., Adamopoulou, M., & Papatheodoropoulos, C. (2022) · Brain and Neuroscience Advances · doi:10.1177/23982128221106315 · Cited by 8
“…in regulating synaptic efficacy and neuronal excitability (Katz and Edwards, 1999; Nadim and Bucher, 2014), thereby flexibly altering the flow of information in neural circuits and determining brain state and behavior (Marder et al., 2014; McCormick et al., 2020; O’Callaghan et al., 2021).”
BackgroundHow far neuroscience is from understanding brains
Roland, P. E. (2023) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2023.1147896 · Cited by 9
“…as ever-changing ongoing spiking and membrane currents no matter whether they are stimulated or not, awake or at sleep (Rudolph et al., 2007; Yap et al., 2017; Stringer et al., 2019; Davis et al., 2020; Marques et al., 2020; McCormick et al., 2020; Siegle et al., 2021; Willumsen et al., 2022).”
BackgroundElectroencephalography microstates highlight specific mindfulness traits
Zarka, D., Cevallos, C., Ruiz, P., Petieau, M., Cebolla, A. M., Bengoetxea, A., & Cheron, G. A. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16247 · Cited by 10
“In this respect, it is now well-accepted that brain states are shaped by the dynamic patterns of large-scale functional networks emerging from ongoing oscillatory brain activities, even in the absence of external afferent volleys (McCormick et al., 2020).”
BackgroundLinking the Superior Colliculus to Pupil Modulation
Wang, C., & Munoz, D. P. (2024) · Springer eBooks · doi:10.1007/978-3-031-54896-3_2 · Cited by 9
Šanda, P., Hlinka, J., van den Berg, M., Škoch, A., Bazhenov, M., Keliris, G. A., & Krishnan, G. P. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012099 · Cited by 9
Astrocyte regulation of behavioral outputs: the versatile roles of calcium
Imrie, G., & Farhy-Tselnicker, I. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1606265 · Cited by 8
“Behavior emerges from the coordinated activity of brain-wide cellular networks including neurons and glia, which modulate an organism’s ability to perceive, interpret, and appropriately respond to environmental or intrinsic stimuli (McCormick et al., 2020; Wu Y. et al., 2024).”
Goc, G. L., Lafaye, J., Karpenko, S., Bormuth, V., Candelier, R., & Debrégeas, G. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.17.435787 · Cited by 8
Koenig, L., & He, B. J. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002964 · Cited by 10
Self-citationZhang, L., Hernández, V. S., Zetter, M. A., Hernández‐Pérez, O. R., González, R. H., Camacho‐Arroyo, I., Eiden, L. E., & Millar, R. P. (2025) · Journal of Neuroendocrinology · doi:10.1111/jne.70007 · Cited by 7
The layer 6b theory of attention
Zolnik, T. A., Eickholt, B. J., Molnár, Z., & Larkum, M. E. (2026) · Neuron · doi:10.1016/j.neuron.2025.11.024 · Cited by 18
Song, H., Chen, R., Ren, L., Zeng, Y., Sun, J., & Tong, S. (2024) · iScience · doi:10.1016/j.isci.2024.110269 · Cited by 7
“26,27 30 Researchers have also observed that the baseline neural activation could profoundly affect the outcome of TUS.”
Physically activated modes of attentional control
Giesbrecht, B., Bullock, T., & Garrett, J. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.11.006 · Cited by 9
“These circuits promote changes in network activity via feedback connections within the network or feedforward connections from the thalamus, both of which rapidly alter neural activity in target regions, presumably to alter sensory coding of environmental stimuli [9,10].”
InfluentialSpatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states
Alasfour, A., Gabriel, P., Jiang, X., Shamie, I., Melloni, L., Thesen, T., Dugan, P. C., Friedman, D. J., Doyle, W., Devinsky, O., et al. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010401 · Cited by 7
“These slower timescales could also be related to brain state, and influenced by slow-activating neuromodulators that potently affect behavior [17].”
BackgroundAltered low-frequency brain rhythms precede changes in gamma power during tauopathy
Rodrigues, F. R., Papanikolaou, A., Holeniewska, J., Phillips, K. G., Saleem, A. B., & Solomon, S. G. (2022) · iScience · doi:10.1016/j.isci.2022.105232 · Cited by 7
State modulation in spatial networks with three interneuron subtypesPreprint
Edwards, M., Jonathan Rubin, A., & Huang, C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.23.609417 · Cited by 7
“Internal factors such as motivation, attention, expectations, and arousal strongly impact animals’ perception, behavior and decision-making [1, 2, 3, 4].”
Decoding state-dependent cortical-cerebellar cellular functional connectivity in the mouse brain
Yan, Y., & Murphy, T. H. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114348 · Cited by 6
State modulation in spatial networks with three interneuron subtypes
Edwards, M. M., Rubin, J. E., & Huang, C. (2025) · Science Advances · doi:10.1126/sciadv.ads9134 · Cited by 13
Daur, N., Farzan Nadim, A., & Bucher, D. M. (2021) · eNeuro · doi:10.1523/eneuro.0351-21.2021 · Cited by 6
“Activity varies with sensory inputs, neuromodulation, and long-term plasticity, as circuit activation, intrinsic neuronal excitability, and synaptic properties change (Briggman and Kristan, 2008; Nadim and Bucher, 2014; Hahn et al., 2019; McCormick et al., 2020).”
BackgroundAntonoudiou, P., Teboul, E., Amaya, K. A., Stone, B. T., Dorst, K. E., & Maguire, J. L. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.10.003 · Cited by 8
Cortical response variability is driven by local excitability changes with somatotopic organization
Stephani, T., Nierula, B., Villringer, A., Eippert, F., & Nikulin, V. V. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119687 · Cited by 6
Spiking activity in the visual thalamus is coupled to pupil dynamics across temporal scalesPreprint
Crombie, D., Spacek, M. A., Leibold, C., & Busse, L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.30.442134 · Cited by 6
Auditory accessory stimulus boosts pupil-linked arousal and reduces choice biasPreprint
Bruel, B. M., Katopodis, V. G., de Vries, R., Donner, T. H., McGinley, M. J., & de Gee, J. W. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.28.505585 · Cited by 5
“…(Aston-Jones & Cohen, 2005; Breton-Provencher et al., 2022; de Gee et al., 2017; Gritton et al., 2016), and can shape information processing in the brain’s choice network in profound ways (Aston-Jones & Cohen, 2005; Froemke, 2015; Harris & Thiele, 2011; Lee & Dan, 2012; McCormick et al., 2020).”
BackgroundInácio, A. R. L., Lam, K. C., Zhao, Y., Pereira, F., Gerfen, C. R., & Lee, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.25.542329 · Cited by 6
Neural Mechanisms Determining the Duration of Task-free, Self-paced Visual Perception
Baror, S., Baumgarten, T. J., & He, B. J. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02131 · Cited by 6
“One possibility is the influence of prestimulus spontaneous activity (McCormick, Nestvogel, & He, 2020; Podvalny, Flounders, King, Holroyd, & He, 2019; Baria, Maniscalco, & He, 2017; Sadaghiani, Poline, Kleinschmidt, & D ’ Esposito, 2015).”
Self-citationCholinergic feedback for modality- and context-specific modulation of sensory representations
Yu, B., Yue, Y., Ren, C., Yun, R., Lim, B. K., & Komiyama, T. (2025) · Science · doi:10.1126/science.ads9152 · Cited by 5
Limited transmission of mixed convergent signals at the mouse retinogeniculate synapse
Sonoda, T., Jiang, Q., Jara-Marquez, I., Radell, H., Ledesma, H. A., Wei, W., & Chen, C. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.015 · Cited by 5
García‐Magro, N., Mesa-Lombardo, A., & Núñez, Á. (2025) · Cells · doi:10.3390/cells14171325 · Cited by 6
“This activation pattern is reflected in the appearance of fast oscillatory activity in the electrocorticogram (ECoG) [1].”
Biological substrates of structure-function coupling in brain networks
Fotiadis, P., Arnsten, A. F. T., Parkes, L., Satterthwaite, T. D., Shinohara, R. T., & Bassett, D. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106581 · Cited by 5
Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities
Podvalny, E., Sánchez-Romero, R., & Cole, M. W. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae192 · Cited by 5
Integration of focused ultrasound and dynamic imaging control system for targeted neuro-modulation
Raghunath, K. M. K., Khan, S. B., Mahesh, T. R., Almusharraf, A. I., Jeet, R., Quasim, M. T., Irshad, A., & Asiri, F. (2025) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2025.110391 · Cited by 5
“…loop then feeds the optimized parameters into the optimization of the targeting procedures, wherein the theoretical activation profiles T ( x ) and the observed neural response D ( x ) are compared to minimize off-target effects O ( x ) and increase targeting precision (McCormick et al., 2020).”
H‐current modulation of cortical Up and Down states
Porta, L. D., Barbero‐Castillo, A., Sanchez‐Sanchez, J. M., Cancino-Fuentes, N., & Sanchez-Vives, M. V. (2025) · The Journal of Physiology · doi:10.1113/jp287616 · Cited by 6
“Brain state dynamics are constantly changing in the context of behaviour or cognitive demands (e.g. sleep, wakefulness, attention) (Greene et al., 2023; McCormick et al., 2020; Zagha & McCormick, 2014).”
Catecholamines reduce choice history biases in perceptual decision making
de Gee, J. W., Kloosterman, N. A., Braun, A., & Donner, T. H. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003361 · Cited by 7
Controlling the human connectome with spatially diffuse input signals
Betzel, R. F., Puxeddu, M. G., Seguin, C., Bazinet, V., Luppi, A. I., Podschun, A. N., Singleton, S. P., Faskowitz, J., Parakkattu, V., Mišić, B., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-09560-8 · Cited by 5
“Achieving this goal requires not only new stimulation techniques 79,80 , but also developing new models that accurately predict the outcome of stimulation – e.g., given a particular set of stimulation parameters and locations,howisactivitythroughoutthebraindisrupted 81 ?”
Tapia, G. P., Agostinelli, L. J., Chenausky, S. D., Padilla, J. V. S., Navarro, V. I., Alagh, A., Si, G., Thompson, R. H., Balivada, S., & Khan, A. M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12072483 · Cited by 4
“[172, 173]), this recruitment can be integrated conceptually within the broader framework of producing or resetting arousal state during glycemic challenge, perhaps as a means to assist the organism in awareness of nutrient and/or energy deficit.”
BackgroundBrain State Relays Self-Processing and Heartbeat-Evoked Cortical Responses
Huang, Y., Xie, M., Liu, Y., Zhang, X., Jiang, L., Bao, H., Qin, P., & Han, J. (2023) · Brain Sciences · doi:10.3390/brainsci13050832 · Cited by 5
“Additionally, over time, this ongoing neuronal activity forms trajectory in this state Additionally, over time, this ongoing neuronal activity forms a trajectory in this state space [22]. space [22].”
BackgroundInfluentialCiceri, S., Lohuis, M. N. O., Rottschäfer, V., Pennartz, C. M. A., Avitabile, D., van Gaal, S., & Olcese, U. (2024) · eNeuro · doi:10.1523/eneuro.0191-24.2024 · Cited by 7
“…sources, strongly determine the likelihood that a stimulus will be perceived and reported and that late report-related neural activity in cortex is observed (McGinley et al., 2015a,b; Speed et al., 2019; Waschke et al., 2019; McCormick et al., 2020; Nuiten et al., 2023; Beerendonk et al., 2024).”
Brain state and cortical layer-specific mechanisms underlying perception at threshold
Morton, M. P., Denagamage, S., Blume, I. J., Reynolds, J. H., Jadi, M. P., & Nandy, A. S. (2024) · eLife · doi:10.7554/elife.91722.4 · Cited by 5
Sendi, M. S. E., Fu, Z., Harnett, N. G., van Rooij, S. J. H., Vergara, V. M., Pizzagalli, D. A., Daskalakis, N. P., House, S. L., Beaudoin, F. L., An, X., et al. (2025) · Nature Mental Health · doi:10.1038/s44220-024-00377-0 · Cited by 5
“State-dependent brain stimulation, which adjusts its parameters on the basis of the current brain state, offers a promising approach to dynamically target and ameliorate high-risk states effectively 65–67 .”
ThermoMaze behavioral paradigm for assessing immobility-related brain events in rodentsPreprint
Vöröslakos, M., Zhang, Y., McClain, K., Huszár, R., Rothstein, A., & Buzsáki, G. (2023) · eLife · doi:10.7554/elife.90347 · Cited by 5
“Switching between these states is correlated with high and low release of subcortical neuromodulators ( Buzsaki et al., 1988 ; Devilbiss and Waterhouse, 2004 ; Dringenberg and Vanderwolf, 1997 ; Harris and Thiele, 2011 ; Metherate et al., 1992 ; McCormick et al., 2020 ).”
Zhang, X., Tao, L., Nygaard, A. H., Dong, Y., Groves, T., Hong, X., Goddard, C. M., He, C., Postnov, D. D., Allodi, I., et al. (2025) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x251320455 · Cited by 6
Pupil-linked arousal heterogeneously modulates cell-type–specific sensory processing
Kaufman, K. J., Krall, R. F., & Williamson, R. S. (2026) · Science Advances · doi:10.1126/sciadv.adz6495 · Cited by 5
“Changes in brain state, from deep sleep to heightened arousal, can pro-foundly influence how sensory information is encoded and processed ( 4 – 6 ).”
Transition dynamics of external and internal attention across on-task and off-task states
Verschooren, S., Dahl, M. J., Aly, M., & Mittner, M. (2026) · Nature Reviews Psychology · doi:10.1038/s44159-026-00578-7 · Cited by 7
Camassa, A., Barbero‐Castillo, A., Bosch, M., Dasilva, M., Masvidal‐Codina, E., Villa, R., Guimerà‐Brunet, A., & Sanchez-Vives, M. V. (2024) · Nanoscale Horizons · doi:10.1039/d3nh00440f · Cited by 5
Ishihara, K., & Shimazaki, H. (2025) · Nature Communications · doi:10.1038/s41467-025-66669-w · Cited by 4
Tikidji-Hamburyan, R. A., Govindaiah, G., Guido, W., & Colonnese, M. T. (2023) · eLife · doi:10.7554/elife.84333 · Cited by 4
“In adults, however, synchronization of the thalamocortical circuit is strongly influenced by the feedback excitation and inhibition provided by corticothalamic neurons (CT) and thalamic reticular (TRN) nucleus (Crunelli et al., 2018; McCormick et al., 2020; Pinault, 2004).”
BackgroundState-dependent coupling of hippocampal oscillations
Modi, B., Guardamagna, M., Stella, F., Griguoli, M., Cherubini, E., & Battaglia, F. P. (2023) · eLife · doi:10.7554/elife.80263 · Cited by 4
“brain states supporting various aspects of behavior (McCormick et al., 2020).”
BackgroundCharacterizing brain stage-dependent pupil dynamics based on lateral hypothalamic activity
Takahashi, K., Sobczak, F., Pais‐Roldán, P., & Yu, X. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad309 · Cited by 5
Cronin, E. M., Schneider, A. C., Nadim, F., & Bucher, D. M. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1201-23.2023 · Cited by 4
Neuromodulatory systems in aging and disease
Dahl, M. J., Werkle‐Bergner, M., & Mather, M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105647 · Cited by 3
Shi, Y.-L., Steinmetz, N. A., Moore, T., Boahen, K. A., & Engel, T. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.02.279893 · Cited by 5
Dissociable components of oscillatory activity underly information encoding in human perceptionPreprint
Vidaurre, D., Cichy, R. M., & Woolrich, M. W. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.10.291294 · Cited by 4
“…et al., 2008; He, 2014; Nobre and van Ede, 2018) and the different ways that ongoing brain states modulate neural responses (Podvalny et al., 2019; McCormick et al., 2020), it is clear that part of the large variability observed in the neural responses could be explained by the ongoing,…”
BackgroundDistinct ensembles in the noradrenergic locus coeruleus evoke diverse cortical statesPreprint
Noei, S., Zouridis, I. S., Logothetis, N. K., Panzeri, S., & Totah, N. K. B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.30.015354 · Cited by 4
An innate drive to save a life
Sheeran, W. M., & Donaldson, Z. R. (2025) · Science · doi:10.1126/science.adv3731 · Cited by 4
Neuromodulatory influences on propagation of traveling waves along the unimodal–transmodal gradient
Mäki-Marttunen, V., & Nieuwenhuis, S. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf183 · Cited by 4
Neural Response Reliability as a Marker of the Transition of Neural Codes along Auditory Pathways
Buck, A. N., Dupont, T., Cavanagh, R. A., Postal, O., Bourien, J., Puel, J., Michalski, N., & Gourévitch, B. (2025) · Advanced Science · doi:10.1002/advs.202508777 · Cited by 3
Beyond networks: Toward adaptive models of biological complexity
Pessoa, L. (2025) · Physics of Life Reviews · doi:10.1016/j.plrev.2025.11.007 · Cited by 5
Repairing Artifacts in Neural Activity Recordings Using Low-Rank Matrix Estimation
Naik, S., Dehaene-Lambertz, G., & Battaglia, D. (2023) · Italian National Conference on Sensors · doi:10.3390/s23104847 · Cited by 3
“This is a crucial asset of our method, opening the way to its application in studies in which the functional role of between-trial variability is explicitly investigated [33,42,47,48].”
Parajuli, A., Gutnisky, D. A., Tandon, N., & Dragoi, V. (2023) · Nature Communications · doi:10.1038/s41467-023-41406-3 · Cited by 3
Shaping dynamical neural computations using spatiotemporal constraints
Kim, J. Z., Larsen, B., & Parkes, L. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.150302 · Cited by 3
Sanchez‐Sanchez, J. M., Riefolo, F., Barbero‐Castillo, A., Sortino, R., Agnetta, L., Manasanch, A., Matera, C., Bosch, M., Forcella, M., Decker, M. W., et al. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf009 · Cited by 3
“The cholinergic neuromodulation system plays a crucial role in the brain, not only in regulating transitions between different brain states (3, 4), as in wakening (5), but also in processes such as attention and memory (6).”
Tripodi, M., & Asari, H. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003406 · Cited by 6
Cortex-wide characterization of decision-making neural dynamics during spatial navigation
Haley, S. P., Surinach, D. A., Nietz, A. K., Popa, L. S., Carter, R. E., Zecker, L. S., Hjort, M. M., Theis, A., Gonzales, J. A., Kodandaramaiah, S. B., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-71074-y · Cited by 5
Brain-State Transitions, Responsibility, and Personal Identity
Rainey, S., Dague, K. O., & Crisp, R. (2022) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s096318012100092x · Cited by 2
Redefining sensorimotor mismatch selectivity in the visual cortex
Muzzu, T., & Saleem, A. B. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112098 · Cited by 3
“1–4 However, we did not directly compare CR with OR responses (M), which we suggested as a more rigorous proof of sensori-motor mismatch selectivity.”
Midbrain encodes sound detection behavior without auditory cortex
Lee, T.-Y., Weissenberger, Y., King, A. J., & Dahmen, J. C. (2024) · eLife · doi:10.1101/2023.06.07.544013 · Cited by 6
Fazlali, Z., Ranjbar‐Slamloo, Y., Zabeh, E., & Arabzadeh, E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.09.188615 · Cited by 4
“We found that strong LC micro-stimulation is likely to affect near-threshold stimuli, decrease the range of responsiveness (Figure 7B) and disrupt the encoding (McBurney-Lin et al., 2019; McCormick et al., 2020; McGinley et al., 2015).”
BackgroundMidbrain encodes sound detection behavior without auditory cortexPreprint
Lee, T.-Y., Weissenberger, Y., King, A. J., & Dahmen, J. C. (2023) · eLife · doi:10.7554/elife.89950.1 · Cited by 3
Experience dependence of alpha rhythms and neural dynamics in mouse visual cortex
Riyahi, P., Phillips, M. A., Boley, N., & Colonnese, M. T. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.2011-22.2024 · Cited by 2
Chang, J. R., Li, S. X., Mei, X., Kwan, R. L., Traeger, A. C., Tao, R., Liang, P., Zheng, D. K. Y., Liu, J. Q., Zhou, Z., et al. (2025) · Journal of Pain · doi:10.1016/j.jpain.2025.105485 · Cited by 5
The Role of Layer 6 Corticothalamic Circuits in Vision: Plasticity, Sensory Processing, and Behavior
Katzner, S., Rose, T., Tchumatchenko, T., & Busse, L. (2025) · Annual Review of Vision Science · doi:10.1146/annurev-vision-101322-012348 · Cited by 2
Motivation as Neural Context for Adaptive Learning and Memory Formation
Poh, J.-H., & Adcock, R. A. (2025) · Annual Review of Psychology · doi:10.1146/annurev-psych-032525-031744 · Cited by 4
Terlau, J., Martini, J., & Helfrich, R. F. (2025) · Neuron · doi:10.1016/j.neuron.2025.10.015 · Cited by 2
Slow wave generation and propagation in a model of brain lesions
Gaglioti, G., Porta, L. D., Colombo, M. A., Russo, S., Nieus, T. R., Deco, G., Corbetta, M., Sarasso, S., Sanchez-Vives, M. V., & Massimini, M. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121817 · Cited by 2
Dynamic compression of whole-brain neural trajectories during human motor learning
Mohseni, H., Rezaei, A., Esfeh, M. A., Areshenkoff, C. N., Gale, D. J., Nashed, J. Y., Oby, E. R., Chen, J., Wammes, J. D., Cook, D. J., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2601546123 · Cited by 2
Sederberg, A., Pala, A., & Stanley, G. B. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1445621 · Cited by 2
“Descriptions of cortical state derive from decades of observations of behavior and careful circuit dissections of fluctuations in neural activity and behavior (McCormick et al., 2020).”
BackgroundYamashita, A., Maeda, H., Chew, J. Y., & Amano, K. (2025) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02315 · Cited by 2
Phasic and tonic arousal distinctly shape human decision bias
Nuiten, S. A., de Gee, J. W., Zantvoord, J. B., Sterzer, P., Fahrenfort, J. J., & van Gaal, S. (2026) · Communications Biology · doi:10.1038/s42003-026-09776-8 · Cited by 3
“Fluctuations in arousal are primarily driven by the activity of catecholamines (i.e., dopamine and noradrenaline) and acetylcholine 4,6 – 8 , although other neu-romodulators (e.g., serotonin) contribute as well 9 .”
Willumsen, A., Midtgaard, J., Jespersen, B., Hansen, C. K. K., Lam, S. N., Hansen, S., Kupers, R. C., Fabricius, M. E., Litman, M., Pinborg, L. H., et al. (2022) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac040 · Cited by 2
Fu, X., Teboul, E., Maguire, J. L., & Tasker, J. G. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.19.440525 · Cited by 2
“Subcortical neuromodulatory systems influencing various cognitive processes, such as arousal, are key mediators of brain state transitions (Lee & Dan, 2012; McCormick et al., 2020), and significantly”
BackgroundA brain basis of dynamical intelligence for AI and computational neurosciencePreprint
Monaco, J. D., Rajan, K., & Hwang, G. M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.07284 · Cited by 7
“…to boost the value of frozen connectomes, but evidence for numerous conserved, functional brain states across individuals and species through waking and sleep 31,32 implies that any particular connectome (within healthy interindividual variability) underdetermines its associated functional states.”
BackgroundDiurnal changes in the efficiency of information transmission at a sensory synapsePreprint
Moya‐Díaz, J., James, B., Esposti, F., Johnston, J., & Lagnado, L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.12.459944 · Cited by 2
Trait and state mindfulness modulate EEG microstatesPreprint
Zarka, D., Cevallos, C., Ruiz, P., Cebolla, A. M., Petieau, M., Bengoetxea, A., & Cheron, G. A. (2021) · medRxiv · doi:10.1101/2021.11.22.21266675 · Cited by 2
“Such patterns emerge even in the absence of an external afferent volley and shape the brain states [McCormick et al., 2020].”
BackgroundSerotonergic modulation of the claustrum
Wong, K. L. L. (2021) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/155926 · Cited by 2
Cortical response variability is driven by local excitability changes with somatotopic organizationPreprint
Stephani, T., Nierula, B., Villringer, A., Eippert, F., & Nikulin, V. V. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.26.489557 · Cited by 2
“Commonly, it is assumed that instantaneous neural states influence the stimulus-related brain responses, which in turn shape the perceptual outcome (e.g., Arieli et al., 1996; McCormick et al., 2020; Sadaghiani et al., 2010; Stephani et al., 2021).”
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