Pupil fluctuations track fast switching of cortical states during quiet wakefulness
Open accessAbstract
Neural responses are modulated by brain state, which varies with arousal, attention, and behavior. In mice, running and whisking desynchronize the cortex and enhance sensory responses, but the quiescent periods between bouts of exploratory behaviors have not been well studied. We found that these periods of "quiet wakefulness" were characterized by state fluctuations on a timescale of 1-2 s. Small fluctuations in pupil diameter tracked these state transitions in multiple cortical areas. During dilation, the intracellular membrane potential was desynchronized, sensory responses were enhanced, and population activity was less correlated. In contrast, constriction was characterized by increased low-frequency oscillations and higher ensemble correlations. Specific subtypes of cortical interneurons were differentially activated during dilation and constriction, consistent with their participation in the observed state changes. Pupillometry has been used to index attention and mental effort in humans, but the intracellular dynamics and differences in population activity underlying this phenomenon were previously unknown.
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Spontaneous and sensory-evoked activity varies continuously and rapidly during wakefulness.
“This work has revealed that spontaneous and sensory-evoked activity varies continuously and rapidly during wakefulness.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Rapid, ongoing, behaviorally relevant variations in waking state are the rule rather than the exception in animals.
“New animal studies reveal that rapid, ongoing, and behaviorally-relevant variations in waking state are not the exception, but rather the rule”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Waking-state changes are sometimes coupled with overt movements such as whisking or locomotion.
“These changes are sometimes coupled with overt movements such as whisking or locomotion”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Waking-state changes can be predicted with high accuracy by pupil diameter or muscle tone while animals sit quietly.
“and can also be predicted with high accuracy by changes in pupil diameter or muscle tone while animals are sitting quietly”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
The relationship between pupil diameter and cortical network activity has been observed in visual, somatosensory, and auditory cortical areas.
“has been observed in visual, somatosensory, and auditory cortical areas”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Even without movement, increases in pupil diameter are associated with increased cortical activation and suppression of low-frequency rhythms.
“Even in the absence of movement, increases in pupil diameter (dilation) were found to be associated with increases in cortical activation and suppression of low frequency rhythms.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Simultaneous intracellular membrane potential and LFP recordings with pupil diameter in head-fixed mice revealed a marked relationship between pupil size, low-frequency (2-10 Hz) membrane potential/LFP fluctuations, and exploratory behaviors such as whisking and locomotion.
“Recently, intracellular membrane potential (Vm) and local field potential (LFP) recordings from cortical neurons collected simultaneously with pupil diameter in head-fixed, spontaneously locomoting or whisking mice revealed a marked relationship between 1) pupil size, 2) low frequency (2–10 Hz) fluctuations in membrane potential/LFP, and 3) exploratory behaviors (whisking and locomotion)”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Low-frequency cortical activity is enhanced during pupillary constriction, especially below a critical pupil diameter.
“Likewise, low-frequency cortical activity is enhanced during pupillary constriction, especially below a critical level of pupil diameter.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Initiation of locomotion is preceded by a substantial increase in pupil diameter, concurrent with reduced low-frequency cortical LFP synchronization and reduced hippocampal sharp wave and ripple oscillations.
“Interestingly, the initiation of locomotion is preceded by a substantial increase in pupil diameter (Figures 2–4), concurrent with the reduction of low-frequency cortical local field potential synchronization and reduced hippocampal sharp wave and ripple oscillations.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
The transition from sitting quietly to exploratory behaviors such as whisking and locomotion is intertwined with changes in arousal tracked by pupillometry.
“The transition from sitting quietly to exploratory behaviors (whisking and locomotion) is intertwined with changes in arousal tracked by pupillometry.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Changes in pupil diameter are reliably correlated with the average subthreshold membrane potential of at least some cortical neuron subtypes, even without overt movement.
“In addition to predicting changes in oscillatory network dynamics, changes in pupil diameter are reliably correlated with the average subthreshold membrane potential of at least some subtypes of neurons of the cortex, even in the absence of overt movement”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Motor processes themselves may also regulate low-frequency synchronization in sensory cortex, or states associated with constricting and dilating pupils are distinct even at the same pupil diameter.
“This suggests that motor processes themselves may also regulate low-frequency synchronization in sensory cortex (Schneider et al., 2014; Zagha et al., 2013) or that states associated with constricting and dilating pupils are distinct, even at the same pupil diameter”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Even in the quiescent state without overt movement, pupil dilation is associated with suppression of low-frequency and enhancement of gamma-frequency cortical network activities, occurring as rapid switching or graded continuous change.
“As described above, even in the quiescent state devoid of overt movements, pupil dilation is associated with suppression of low-frequency, and enhancement of gamma-frequency, cortical network activities that can occur as either a rapid switching (Figure 2A) or as a graded and continuous change”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
A gradual decrease in pupil diameter after locomotion is associated with increased prevalence of low-frequency oscillations.
“This gradual decrease in pupil diameter is associated with an increase in the prevalence of low-frequency oscillations”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Following cessation of locomotion, head-fixed mice typically transition from high to moderate or low arousal over seconds or longer, as measured by pupil diameter.
“Following the cessation of locomotion, head-fixed mice typically exhibit a transition from high arousal to moderate or low arousal, as measured by pupil diameter, over a period of seconds or longer.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Noise correlations within wakefulness are, to a significant degree, explained by fluctuations in arousal as indexed by pupil diameter.
“Recent work also shows that noise correlations within wakefulness are, to a significant degree, explained by fluctuations in arousal as indexed by pupil diameter (Reimer et al., 2014; Vinck et al., 2015).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Compensating for rapid variations in state can significantly reduce variability in the amplitude and timing of both sensory evoked and behavioral responses.
“Indeed, compensating for these rapid variations in state can significantly reduce variability in the amplitude and timing of both sensory evoked and behavioral responses (McGinley et al., 2015; Reimer et al., 2014).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
A significant fraction of trial-to-trial variability in sensory evoked responses may result from rapid variations in state.
“Monitoring of state through pupillometry reveals rapid (seconds) and continuous changes (Figure 2–4), indicating that a significant fraction of trial-to-trial variability in sensory evoked responses may be the result of variations in state.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
The overall level of noise correlation varies across different wakeful brain states in the mouse.
“Recent work in the mouse suggests that the overall level of noise correlation varies across different wakeful brain states (e.g. (Gentet et al., 2010; Poulet and Petersen, 2008; Reimer et al., 2014; Vinck et al., 2015).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Locomotion is associated with suppression of slow rhythmic activity in cortical networks, depolarization of cortical neurons closer to action potential threshold, and enhanced visually evoked responses.
“Locomotion, as we have mentioned, is associated with a suppression of slow rhythmic activity in cortical networks, a depolarization of cortical neurons closer to action potential threshold, and enhanced visually evoked responses (Bennett et al., 2013; Polack et al., 2013; Reimer et al., 2014).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
It is likely that cell type, laminar location, behavioral context, and perhaps region of cortex are important variables in the variation between recorded cells in their response to arousal or locomotion.
“It is likely that cell type, laminar location, behavioral context, and perhaps region of cortex are important variables (Beloozerova et al., 2003; Gentet et al., 2010; Reimer et al., 2014).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
Somatostatin-containing interneurons decrease their activity during locomotion.
“Somatostatin-containing interneurons decrease their activity during locomotion (Fu et al., 2014; Gentet et al., 2012; Reimer et al., 2014).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Reimer et al., 2014
A small fraction of SOM+ neurons in V1 L4 exhibited a fast-spiking firing pattern and their morphological features matched large basket cells (8.2%, 5/61).
“A small fraction of SOM+ neurons exhibited an FS firing pattern and their morphological features matched those of LBCs (8.2%, 5/61; Supplementary Fig. 2), in agreement with the previous reports that due to potential off-target recombination, ~5–20% of neurons labeled in SOM-Cre line are FS29,43,44 and PV+/SOM− at the protein level43.”
From Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas (2019) · cites this paper as [44]
Contrast-invariant tuning is an example of gain modulation induced by changes in sensory stimulation, in which neurons respond to stimuli of different contrast while preserving selectivity for other properties such as orientation and spatial frequency.
“Contrast-invariant tuning is an example of gain modulation that is induced by changes in sensory stimulation, in which neurons respond to stimuli of different levels of contrast while preserving their selectivity for other properties, such as orientation and spatial frequency27–29.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [28]
Pupillary response dynamics are thought to reflect multiple different features, including sensory cues, arousal/task engagement, motor activity, and motivation.
“Pupillary response dynamics are thought to reflect multiple different features, including sensory cues36,37, arousal/task engagement38,39, motor activity40,41, and motivation42,43.”
From Revealing abrupt transitions from goal-directed to habitual behavior (2026) · cites this paper as [41]
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Characterization of affective states by pupillary dynamics and autonomic correlates
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“For almost half a century, pupillometry has been widely used to index covert changes in attention and effort in humans and nonhuman primates (Gilzenrat et al., 2010; Hess and Polt, 1960, 1964; Iriki et al., 1996; Kahneman, 1973; Kahneman and Beatty, 1966; Kristjansson et al., 2009; Onorati et al., 2013; Wierda et al.,…”
Directional selective neurons in the awake LGN: response properties and modulation by brain state
Hei, X., Stoelzel, C. R., Zhuang, J., Bereshpolova, Y., Huff, J. M., Alonso, J., & Swadlow, H. A. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00121.2014 · Cited by 27 · cited 2× · see citing works
“Nonprimate mammals also display a spectrum of cortical dynamics during waking periods, from more synchronized to more desynchronized states, and this internal variability modulates responses to external stimuli (Hei et al., 2014; Zhuang et al., 2014).”
Brain State Effects on Layer 4 of the Awake Visual Cortex
Zhuang, J., Bereshpolova, Y., Stoelzel, C. R., Huff, J. M., Hei, X., Alonso, J., & Swadlow, H. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4969-13.2014 · Cited by 26 · cited 1× · see citing works
“Non-primate mammals also display a spectrum of cortical dynamics during waking periods, from more synchronized to more desynchronized states; and this internal variability modulates responses to external stimuli (Hei et al., 2014; Zhuang et al., 2014).”
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Joshi, S., Li, Y., Kalwani, R. M., & Gold, J. I. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.028 · Cited by 1,387 · see citing works
“Pupil diameter also can covary with neuronal activity in cortex, which is thought to reflect, at least in part, modulation by the LC-NE system (Vinck et al., 2015; Reimer et al., 2014; Ebitz and Platt, 2015; Eldar et al., 2013; McGinley et al., 2015).”
BackgroundResultInfluentialSingle-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 1,057 · see citing works
Principles of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908 · see citing works
“In addition, it has been increasingly recognized that the SOM-Cre driver line (SOM-IRESCre) (31) labels a population of neurons that can be grouped into distinct types both functionally (19, 32) andmorphologically (fig.”
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 · see citing works
“In addition, levels of arousal vary during wake and correlate with pupil diameter, eyelid position, and sharp wave ripples in hippocampus (Eldar et al., 2013; McGinley et al., 2015; Reimer et al., 2014).”
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 · see citing works
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 · see citing works
“…et al., 2007; Gentet et al., 2010; Haider et al., 2013; Lee et al., 2013; McGinley et al., 2015; Nelson et al., 2013; Niell and Stryker, 2010; Polack et al., 2013; Poulet and Petersen, 2008; Reimer et al., 2014; Scholvinck et al., 2015; Vinck et al., 2015; Zagha et al., 2013; Zhou et al., 2014).”
InfluentialPupil 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 · see citing works
Self-citationPupillometry: Psychology, Physiology, and Function
Mathôt, S. (2018) · Journal of Cognition · doi:10.5334/joc.18 · Cited by 925 · see citing works
“generated by an internal cognitive event) and its size and profile are therefore highly variable, presumably reflecting how mental effort and arousal evolve over time (e.g. Mathôt, Siebold, Donk, & Vitu, 2015a; Reimer et al., 2014).”
BackgroundCortical 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 · see citing works
“…(e.g., movement) states (Bennett et al., 2013; Erisken et al., 2014; Fontanini and Katz, 2008; Polack et al., 2013; Poulet and Petersen, 2008; Reimer et al., 2014; Schneider et al., 2014; Schö lvinck et al., 2015; Vinck et al., 2015; Vyazovskiy et al., 2011; Zagha et al., 2013; Zhou et al.,…”
BackgroundMethodResultInfluentialMather, M., Clewett, D., Sakaki, M., & Harley, C. W. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000667 · Cited by 695 · see citing works
Pupil Size as a Window on Neural Substrates of Cognition
Joshi, S., & Gold, J. I. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.03.005 · Cited by 620 · see citing works
Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias
Urai, A. E., Braun, A., & Donner, T. H. (2017) · Nature Communications · doi:10.1038/ncomms14637 · Cited by 466 · see citing works
Safe and sensible preprocessing and baseline correction of pupil-size data
Mathôt, S., Fabius, J. H., van Heusden, E., & der Stigchel, S. V. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-1007-2 · Cited by 453 · see citing works
“For example, although in the absence of direct external stimulation the size of the pupil fluctuates in cycles of 1 – 2 s (Mathôt, Siebold, Donk, & Vitu, 2015a; Reimer et al., 2014), it does not show the slow systematic drift shown by EEG/MEG voltages (Tanner et al., 2016).”
BackgroundThe threshold for conscious report: Signal loss and response bias in visual and frontal cortex
van Vugt, B., Dagnino, B., Vartak, D., Safaai, H., Panzeri, S., Dehaene, S., & Roelfsema, P. R. (2018) · Science · doi:10.1126/science.aar7186 · Cited by 394 · see citing works
Astrocytes regulate cortical state switching in vivo
Poskanzer, K. E., & Yuste, R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520759113 · Cited by 377 · see citing works
Active control of arousal by a locus coeruleus GABAergic circuit
Breton‐Provencher, V., & Sur, M. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0305-z · Cited by 348 · see citing works
Neuromodulation of brain state and behavior
McCormick, D. A., Nestvogel, D. B., & He, B. J. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100219-105424 · Cited by 303 · see citing works
“…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…”
BackgroundInfluentialMechanisms 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 · see citing works
Neuromodulatory Influences on Integration and Segregation in the Brain
Shine, J. M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.002 · Cited by 320 · see citing works
Behavior needs neural variability
Waschke, L., Kloosterman, N. A., Obleser, J., & Garrett, D. D. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.023 · Cited by 301 · see citing works
Aversive state processing in the posterior insular cortex
Gehrlach, D. A., Dolensek, N., Klein, A. S., Roy Chowdhury, R., Matthys, A., Junghänel, M., Gaitanos, T. N., Podgornik, A., Black, T. D., Reddy Vaka, N., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0469-1 · Cited by 303 · see citing works
Dynamic modulation of decision biases by brainstem arousal systems
de Gee, J. W., Colizoli, O., Kloosterman, N. A., Knapen, T. H. J., Nieuwenhuis, S., & Donner, T. H. (2017) · eLife · doi:10.7554/elife.23232 · Cited by 312 · see citing works
“Phasic versus tonic arousal effects A number of recent studies have characterized the relationship between tonic arousal levels (measured through baseline pupil diameter) and cortical state (McGinley et al., 2015a; Reimer et al., 2014; Vinck et al., 2015; Warren et al., 2016).”
BackgroundArousal Effects on Pupil Size, Heart Rate, and Skin Conductance in an Emotional Face Task
Wang, C., Baird, T., Huang, J. C. H., Coutinho, J., Brien, D. C., & Munoz, D. P. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01029 · Cited by 312 · see citing works
Effects 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 · see citing works
Pakan, J. M., Lowe, S. C., Dylda, E., Keemink, S. W., Currie, S. P., Coutts, C. A., & Rochefort, N. L. (2016) · eLife · doi:10.7554/elife.14985 · Cited by 282 · see citing works
“The authors distinguished two populations of SST interneurons (see Supplementary Figure 5C of Reimer et al., 2014): Type I cells were inhibited by running while Type II cells were depolarized.”
BackgroundMethodResultInfluentialVision 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 280 · see citing works
Video-rate volumetric functional imaging of the brain at synaptic resolution
Lu, R., Sun, W., Liang, Y., Kerlin, A., Bierfeld, J., Seelig, J. D., Wilson, D. E., Scholl, B., Mohar, B., Tanimoto, M., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4516 · Cited by 272 · see citing works
Sensorimotor processing in the rodent barrel cortex
Petersen, C. C. H. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0200-y · Cited by 271 · see citing works
Neuromodulatory Correlates of Pupil Dilation
Larsen, R. S., & Waters, J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00021 · Cited by 263 · see citing works
“In mice, pupil dilation is associated with periods of whisking and increases in locomotion (Reimer et al., 2014; McGinley et al., 2015).”
BackgroundInfluentialGlobal waves synchronize the brain’s functional systems with fluctuating arousal
Raut, R. V., Snyder, A. Z., Mitra, A., Yellin, D., Fujii, N., Malach, R., & Raichle, M. E. (2021) · Science Advances · doi:10.1126/sciadv.abf2709 · Cited by 261 · see citing works
Mice alternate between discrete strategies during perceptual decision-making
Ashwood, Z. C., Roy, N. A., Stone, I. R., Laboratory, T. I. B., Urai, A. E., Churchland, A. K., Pouget, A., & Pillow, J. W. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-01007-z · Cited by 229 · see citing works
The mechanics of state-dependent neural correlations
Doiron, B., Litwin-Kumar, A., Rosenbaum, R., Ocker, G. K., & Josić́, K. (2016) · Nature Neuroscience · doi:10.1038/nn.4242 · Cited by 236 · see citing works
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 234 · see citing works
“(C) Schematics of various neuromodulatory signaling mechanisms in neurons, from rapid (top) to persistent (bottom). as neurohormones (Kravitz, 2000; Reiter et al., 2014; White et al., 1986).”
BackgroundMethods in cognitive pupillometry: Design, preprocessing, and statistical analysis
Mathôt, S., & Vilotijević, A. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01957-7 · Cited by 235 · see citing works
“Pupil size fluctuates in waves of several seconds that reflect the waxing and waning of arousal (Mathôt, Siebold, et al., 2015b; Reimer et al., 2014), and in slower waves that reflect more prolonged states of fatigue and wakefulness (Geacin-tov & Peavler, 1974; Lowenstein et al., 1963).”
Neuromodulatory Systems and Their Interactions: A Review of Models, Theories, and Experiments
Avery, M. C., & Krichmar, J. L. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00108 · Cited by 231 · see citing works
“Cortical membrane potential recordings show that the transitions between these states occur on the order of seconds and are precisely correlated with pupil fluctuations (Reimer et al., 2014).”
BackgroundPupil Diameter Tracks Lapses of Attention
van den Brink, R. L., Murphy, P. R., & Nieuwenhuis, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165274 · Cited by 226 · see citing works
Amygdala ensembles encode behavioral states
Gründemann, J., Bitterman, Y., Lu, T., Krabbe, S., Grewe, B. F., Schnitzer, M. J., & Lüthi, A. (2019) · Science · doi:10.1126/science.aav8736 · Cited by 223 · see citing works
Inception loops discover what excites neurons most using deep predictive models
Walker, E. Y., Sinz, F. H., Cobos, E., Muhammad, T., Froudarakis, E., Fahey, P. G., Ecker, A. S., Reimer, J., Pitkow, X., & Tolias, A. S. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0517-x · Cited by 221 · see citing works
Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas
Scala, F., Kobak, D., Shan, S., Bernaerts, Y., Laturnus, S., Cadwell, C. R., Hartmanis, L., Froudarakis, E., Castro, J. R., Tan, Z. H., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12058-z · Cited by 193 · see citing works
Liu, Y., Rodenkirch, C., Moskowitz, N., Schriver, B. J., & Wang, Q. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.08.094 · Cited by 212 · see citing works
“Moreover, because pupil size has been shown to tightly co-vary with level of arousal (McGinley et al., 2015a; Nassar et al., 2012; Reimer et al., 2014; Vinck et al., 2015), which involves both the sympathetic andparasympathetic nervous systems, we wanted to further tease apart the contribution of…”
InfluentialInteracting neural ensembles in orbitofrontal cortex for social and feeding behaviour
Jennings, J. H., Kim, C. K., Marshel, J. H., Raffiee, M., Li, Y., Quirin, S., Pak, S., Ramakrishnan, C., & Deisseroth, K. A. (2019) · Nature · doi:10.1038/s41586-018-0866-8 · Cited by 208 · see citing works
Locomotion Enhances Neural Encoding of Visual Stimuli in Mouse V1
Dadarlat, M. C., & Stryker, M. P. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2728-16.2017 · Cited by 205 · see citing works
Selective modulation of cortical state during spatial attention
Engel, T. A., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., & Boahen, K. A. (2016) · Science · doi:10.1126/science.aag1420 · Cited by 207 · see citing works
Cooperative subnetworks of molecularly similar interneurons in mouse neocortex
Karnani, M. M., Jackson, J., Ayzenshtat, I., Tucciarone, J., Manoocheri, K., Snider, W. G., & Yuste, R. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.037 · Cited by 196 · see citing works
“…imaging sessions, we recorded the movement of the running disk via a custom-built infra-red optical mouse apparatus to distinguish between movement and stationary epochs as this is known to modulate V1 neurons (Fu et al., 2014, Polack et al., 2013, Reimer et al., 2014, Vinck et al., 2015).”
A cortical disinhibitory circuit for enhancing adult plasticity
Fu, Y., Kaneko, M., Tang, Y., Álvarez-Buylla, A., & Stryker, M. P. (2015) · eLife · doi:10.7554/elife.05558 · Cited by 196 · see citing works
“, 2013), only some of which are suppressed during locomotion (Fu et al., 2014; Reimer et al., 2014).”
BackgroundBenchmarking Spike Rate Inference in Population Calcium Imaging
Theis, L., Berens, P., Froudarakis, E., Reimer, J., Rosón, M. R., Baden, T., Euler, T., Tolias, A. S., & Bethge, M. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.014 · Cited by 197 · see citing works
“During awake 356 experiments, the mouse was placed on a treadmill with its head restrained beneath the 357 microscope objective (Reimer et al., 2014).”
InfluentialAttention stabilizes the shared gain of V4 populations
Rabinowitz, N. C., Goris, R. L., Cohen, M., & Simoncelli, E. P. (2015) · eLife · doi:10.7554/elife.08998 · Cited by 194 · see citing works
“…the estimated modulator signals against other neural or physiological signals (e.g. neurotransmitter concentrations, or pupil dilation (McGinley et al., 2015; Reimer et al., 2014), and by comparing the weights with detailed anatomical and functional properties of the neurons in the population.”
BackgroundNelson, A., & MOONEY, R. D. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.031 · Cited by 190 · see citing works
Inhibitory stabilization and cortical computation
Sadeh, S., & Clopath, C. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-00390-z · Cited by 183 · see citing works
Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality
Gautam, S. H., Hoang, T. T., McClanahan, K., Grady, S. K., & Shew, W. L. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004576 · Cited by 164 · see citing works
“To meet this goal, we took advantage of changes in cortical state that occur naturally [15,18] without experimental control and we also imposed changes in cortical state by tuning cortical inhibitory interactions [19].”
Shine, J. M., Aburn, M. J., Breakspear, M. J., & Poldrack, R. A. (2018) · eLife · doi:10.7554/elife.31130 · Cited by 175 · see citing works
A transcriptomic axis predicts state modulation of cortical interneurons
Bugeon, S., Duffield, J. A. M., Dipoppa, M., Ritoux, A., Prankerd, I., Nicoloutsopoulos, D., Orme, D., Shinn, M., Peng, H., Forrest, H., et al. (2022) · Nature · doi:10.1038/s41586-022-04915-7 · Cited by 177 · see citing works
Pupil size tracks perceptual content and surprise
Kloosterman, N. A., Meindertsma, T., van Loon, A. M., Lamme, V. A. F., Bonneh, Y. S., & Donner, T. H. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12859 · Cited by 166 · see citing works
“changes in the gain of neural interactions in the cerebral cortex (Eldar et al., 2013; Reimer et al., 2014).”
BackgroundStimulus-dependent representational drift in primary visual cortex
Marks, T. D., & Goard, M. J. (2021) · Nature Communications · doi:10.1038/s41467-021-25436-3 · Cited by 175 · see citing works
“First, we tested the effect of pupil size on visual response magnitude, as has been demonstrated previously [63,64].”
MethodMovement-Related Signals in Sensory Areas: Roles in Natural Behavior
Parker, P. R. L., Brown, M. A., Smear, M. C., & Niell, C. M. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.05.005 · Cited by 149 · see citing works
“In addition to movement, many studies measuring neural activity in primary sensory areas have also found correlates of other non-sensory variables, including arousal [20,42,43], reward [44], and thirst [45].”
BackgroundSubcortical Source and Modulation of the Narrowband Gamma Oscillation in Mouse Visual Cortex
Saleem, A. B., Lien, A. D., Krumin, M., Haider, B., Rosón, M. R., Ayaz, A., Reinhold, K., Busse, L., Carandini, M., & Harris, K. D. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.028 · Cited by 153 · see citing works
“Indeed, since themouse pupil dilates during locomotion (Erisken et al., 2014; McGinley et al., 2015a, 2015b; Reimer et al., 2014; Vinck et al., 2015), and since narrowband gamma power depends on light intensity (Figure 3F), it remains possible that the correlation between locomotion and narrowband gamma reflects a gre…”
BackgroundYüzgeç, Ö., Prsa, M., Zimmermann, R. A., & Huber, D. (2018) · Current Biology · doi:10.1016/j.cub.2017.12.049 · Cited by 153 · see citing works
Why is everyone talking about brain state?
Greene, A. S., Horien, C. L., Barson, D. G., Scheinost, D., & Constable, R. T. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.04.001 · Cited by 148 · see citing works
“Changes in pupil diameter occur on the order of seconds and are associated with alterations in brain activity measured at levels ranging from cellular membrane potential [1,34] to circuit-level synaptic and firing rate synchronization [35] and to brain-wide network coupling [36,37], all of which comprise or reflect br…”
BackgroundMineault, P. J., Tring, E., Trachtenberg, J. T., & Ringach, D. L. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0430-16.2016 · Cited by 148 · see citing works
“Even in the awake state, levels of attention and alertness fluctuate over time (Reimer et al., 2014).”
Drew, P. J., Matéo, C., Turner, K. L., Yu, X., & Kleinfeld, D. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.020 · Cited by 144 · see citing works
Vagus nerve stimulation induces widespread cortical and behavioral activation
Collins, L. N., Boddington, L. J., Steffan, P. J., & McCormick, D. A. (2021) · Current Biology · doi:10.1016/j.cub.2021.02.049 · Cited by 147 · see citing works
Monoaminergic Neuromodulation of Sensory Processing
Jacob, S. N., & Nienborg, H. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00051 · Cited by 143 · see citing works
“However, recent results based on population recordings (Reimer et al., 2014; Rabinowitz et al., 2015; Schölvinck et al., 2015) that highlight the extent of brain-state dependent modulation of sensory processing, the discovery of substantial modulation of sensory activity with locomotion (Niell and Stryker, 2010; Polac…”
BackgroundComplementary networks of cortical somatostatin interneurons enforce layer specific control
Naka, A., Veit, J., Shababo, B., Chance, R. K., Risso, D., Stafford, D., Snyder, B., Egladyous, A., Chu, D., Sridharan, S., et al. (2019) · eLife · doi:10.7554/elife.43696 · Cited by 117 · see citing works
Meyer, A. F., Poort, J., O'Keefe, J. M., Sahani, M., & Linden, J. F. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.020 · Cited by 145 · see citing works
“Previous studies in head-restrained mice have also reported that the frequency of whisking is increased in the active compared to the quiescent behavioral state (Moore, 2004; Poulet and Petersen, 2008; Reimer et al., 2014).”
BackgroundSustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy
Liu, Z., Lu, X., Villette, V., Gou, Y., Colbert, K. L., Lai, S., Guan, S. A., Land, M. A., Lee, J., Assefa, T., et al. (2022) · Cell · doi:10.1016/j.cell.2022.07.013 · Cited by 143 · see citing works
Locus coeruleus-norepinephrine modulation of sensory processing and perception: A focused review
McBurney-Lin, J., Lu, J., Zuo, Y., & Yang, H. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.009 · Cited by 137 · see citing works
“performance and sensory neuron activity (Reimer et al., 2014; McGinley et al., 2015a, 2015b; Vinck et al., 2015; Lee and Margolis, 2016; Schriver et al., 2018).”
BackgroundSlow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex
Cowley, B. R., Snyder, A. C., Acar, K., Williamson, R. C., Yu, B. M., & Smith, M. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.021 · Cited by 127 · see citing works
Phasic Activation of Dorsal Raphe Serotonergic Neurons Increases Pupil Size
Cazettes, F., Reato, D., Morais, J. P., Renart, A., & Mainen, Z. F. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.090 · Cited by 133 · see citing works
“Specifically, the transition from stillness to locomotion was accompanied by a transient increase in PS that remained elevated until locomotion offset (Figure 1D), and locomotion offset was followed by a gradual decrease in PS (Figure 1E).(1,2,27) PS also varied spontaneously during stillness epochs (Figure 1C, event…”
Pupil-linked phasic arousal predicts a reduction of choice bias across species and decision domains
de Gee, J. W., Tsetsos, K., Schwabe, L., Urai, A. E., McCormick, D. A., McGinley, M. J., & Donner, T. H. (2020) · eLife · doi:10.7554/elife.54014 · Cited by 125 · see citing works
“Indeed, recent work has shown that pupil diameter closely tracks several established measures of cortical arousal state (Larsen and Waters, 2018; McGinley et al., 2015a; McGinley et al., 2015b; Reimer et al., 2014; Vinck et al., 2015).”
BackgroundSynaptic Mechanisms of Feature Coding in the Visual Cortex of Awake Mice
Adesnik, H. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.014 · Cited by 130 · see citing works
Inhibitory Circuits in Cortical Layer 5
Naka, A., & Adesnik, H. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00035 · Cited by 130 · see citing works
Arousal-induced cortical activity triggers lactate release from astrocytes
Zuend, M., Saab, A. S., Wyss, M. T., Ferrari, K. D., Hösli, L., Looser, Z. J., Stobart, J. L., Durán, J., Guinovart, J. J., Barros, L. F., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0170-4 · Cited by 129 · see citing works
High-speed volumetric two-photon fluorescence imaging of neurovascular dynamics
Fan, J. L., Rivera, J. A., Sun, W., Peterson, J., Haeberle, H., Rubin, S., & Ji, N. (2020) · Nature Communications · doi:10.1038/s41467-020-19851-1 · Cited by 129 · see citing works
A Laminar Organization for Selective Cortico-Cortical Communication
D’Souza, R. D., & Burkhalter, A. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00071 · Cited by 138 · see citing works
“…cells in response to visual stimulation is enhanced (Niell and Stryker, 2010; Polack et al., 2013; Saleem et al., 2013; Reimer et al., 2014), which is accompanied by an increase in the firing frequency of local VIP+ interneurons as well (Fu et al., 2014; Reimer et al., 2014; Jackson et al., 2016).”
BackgroundNorepinephrine links astrocytic activity to regulation of cortical state
Reitman, M. E., Tse, V., Mi, X., Willoughby, D. D., Peinado, A., Aivazidis, A., Myagmar, B., Simpson, P. C., Bayraktar, O. A., Yu, G., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01284-w · Cited by 128 · see citing works
Cortical inhibitory interneurons control sensory processing
Wood, K. C., Blackwell, J. M., & Geffen, M. N. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.018 · Cited by 128 · see citing works
“Recent recordings from VIP interneurons found that they also increase their firing rate during locomotion [52–54], while the firing rate of SOMs decreases [52,53].”
Rapid mesoscale volumetric imaging of neural activity with synaptic resolution
Lu, R., Liang, Y., Meng, G., Zhou, P., Svoboda, K., Paninski, L., & Ji, N. (2020) · Nature Methods · doi:10.1038/s41592-020-0760-9 · Cited by 120 · see citing works
Pupil size tracks attentional performance in Attention-Deficit/Hyperactivity disorder
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The Cortical States of Wakefulness
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Cognitive fluctuations in Lewy body dementia: towards a pathophysiological framework
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Reward Association Enhances Stimulus-Specific Representations in Primary Visual Cortex
Henschke, J. U., Dylda, E., Katsanevaki, D., Dupuy, N., Currie, S. P., Amvrosiadis, T., Pakan, J. M. P., & Rochefort, N. L. (2020) · Current Biology · doi:10.1016/j.cub.2020.03.018 · Cited by 116 · see citing works
Interstitial ions: A key regulator of state-dependent neural activity?
Rasmussen, R. N., O’Donnell, J., Ding, F., & Nedergaard, M. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101802 · Cited by 113 · see citing works
“Thus, when animals transition from quiet to active wakefulness, this correlates with suppression of delta oscillations and a concomitant enhancement of gamma oscillations (Niell and Stryker, 2010; Rasmussen et al., 2019; Reimer et al., 2014; Vinck et al., 2015).”
BackgroundGraded recruitment of pupil-linked neuromodulation by parametric stimulation of the vagus nerve
Mridha, Z., de Gee, J. W., Shi, Y., Alkashgari, R., Williams, J. C., Suminski, A. J., Ward, M. P., Zhang, W., & McGinley, M. J. (2021) · Nature Communications · doi:10.1038/s41467-021-21730-2 · Cited by 114 · see citing works
“non-invasive readout of cortical and hippocampal signatures of brain state, in mice (McGinley et al., 2015a; McGinley et al., 2015b; Reimer et al., 2014; Vinck et al., 2015).”
BackgroundReal-world stress resilience is associated with the responsivity of the locus coeruleus
Grueschow, M., Stenz, N., Thörn, H., Ehlert, U., Breckwoldt, J., Brodmann Maeder, M., Exadaktylos, A. K., Bingisser, R., Ruff, C. C., & Kleim, B. (2021) · Nature Communications · doi:10.1038/s41467-021-22509-1 · Cited by 116 · see citing works
Music chills: The eye pupil as a mirror to music’s soul
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How Movement Modulates Hearing
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“Because changes in pupil diameter are thought to reflect changes in the balance between sympathetic and parasympathetic tone, one idea is that ascending neuromodulatory inputs alter the global brain state to affect movement and auditory cortical responsiveness in parallel (Reimer et al. 2014).”
BackgroundEye pupil signals information gain
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Pupil diameter is not an accurate real-time readout of locus coeruleus activity
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“Our findings are consistent with previously reported links between both locomotion-related and pupil-related changes in arousal and LFP recordings in sensory cortices of rodents ( McGinley et al., 2015a ; Reimer et al., 2014 ; Reimer et al., 2016 ).”
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Astrocytes amplify neurovascular coupling to sustained activation of neocortex in awake mice
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Visual thalamocortical mechanisms of waking state-dependent activity and alpha oscillations
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Functional connectomics reveals general wiring rule in mouse visual cortex
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Improved Estimation and Interpretation of Correlations in Neural Circuits
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“certain types of stimuli may engage feedback connections) [100, 101].”
BackgroundEffects 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 105 · see citing works
“However, a more thorough study needs to be performed, because locomotion can be accompanied by whisking (Reimer et al., 2014), which decreases responses to passive whisker touch (Ferezou et al., 2007); in our study, we cannot distinguish these two effects.”
BackgroundExperience shapes activity dynamics and stimulus coding of VIP inhibitory cells
Garrett, M., Manavi, S., Roll, K., Ollerenshaw, D. R., Groblewski, P. A., Ponvert, N. D., Kiggins, J. T., Casal, L., Mace, K. D., Williford, A., et al. (2020) · eLife · doi:10.7554/elife.50340 · Cited by 102 · see citing works
“(Fu et al., 2014; Reimer et al., 2014), are modulated by task engagement (Kuchibhotla et al.”
BackgroundThalamocortical excitability modulation guides human perception under uncertainty
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Pupil size reflects successful encoding and recall of memory in humans
Kucewicz, M. T., Doležal, J., Křemen, V., Berry, B. M., Miller, L. R., Magee, A. L., Fabián, V., & Worrell, G. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-23197-6 · Cited by 100 · see citing works
- Authors
- Reimer, J., Froudarakis, E., Cadwell, C. R., Yatsenko, D., Denfield, G. H., & Tolias, A. S.
- Affiliations
- Baylor College of Medicine (US)
- Corresponding author
- Reimer, Jacob
- Tolias, Andreas S.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 84
- Issue
- 2
- Pages
- 355-362
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4323337
- OpenAlex
- W2080275784
- Cited by
- 717
- References
- 42
- Citations by year
- 2026: 60 · 2025: 63 · 2024: 100 · 2023: 71 · 2022: 61 · 2021: 57 · 2020: 62 · 2019: 69 · 2018: 61 · 2017: 42 · 2016: 44 · 2015: 23 · 2014: 3
- FWCI
- 20.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (1dp1od008301-01)
- National Institute of Mental Health (F30MH095440)
- National Institute on Drug Abuse (R01DA028525)
- National Eye Institute (DP1EY023176, T32 EY07001, P30EY002520, T32EY007001)
- National Institute of General Medical Sciences (T32GM007330)
- National Institute of Biomedical Imaging and Bioengineering (T32EB006350)
- National Center for Chronic Disease Prevention and Health Promotion (DP1EY023176)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD083092)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- pupil size, quiet wakefulness, pupillometry, cortical desynchronization, membrane potential, low-frequency oscillations, cortical interneurons
- MeSH terms
- Animals, Attention, Brain, Electroencephalography, Exploratory Behavior, Membrane Potentials, Neurons, Pupil, Time Factors, Vibrissae, Wakefulness, Mice
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