Neuromodulation of Attention

Thiele, Alexander; Bellgrove, Mark A.

doi:10.1016/j.neuron.2018.01.008

Cited by 351Neural dynamics and brain functionNeural and Behavioral Psychology StudiesNeuroscience and Neuropharmacology Research

Neuromodulation of Attention

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Thiele, Alexander, Bellgrove, Mark A.·2018·Neuron

DOI 10.1016/j.neuron.2018.01.008PMC PMC6204752

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Abstract

Attention is critical to high-level cognition and attention deficits are a hallmark of neurologic and neuropsychiatric disorders. Although years of research indicates that distinct neuromodulators influence attentional control, a mechanistic account that traverses levels of analysis (cells, circuits, behavior) is missing. However, such an account is critical to guide the development of next-generation pharmacotherapies aimed at forestalling or remediating the global burden associated with disorders of attention. Here, we summarize current neuroscientific understanding of how attention affects single neurons and networks of neurons. We then review key results that have informed our understanding of how neuromodulation shapes these neuron and network properties and thereby enables the appropriate allocation of attention to relevant external or internal events. Finally, we highlight areas where we believe hypotheses can be formulated and tackled experimentally in the near future, thereby critically increasing our mechanistic understanding of how attention is implemented at the cellular and network levels.

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Working memory serves as the basis of other higher order cognitive processes including recognition memory, which is mediated by mPFC function.
“Among numerous cognitive domains, working memory serves as the basis of other higher order cognitive processes including but not limited to recognition memory (27–29), which is mediated by mPFC function.”
From Effects of Lisdexamfetamine, a Prodrug of D-Amphetamine, on Locomotion, Spatial Cognitive Processing and Neurochemical Profiles in Rats: A Comparison With Immediate-Release Amphetamine (2022) · cites this paper as [28]
The Main Text describes working memory as holding goals that guide attention, supporting a relationship between working memory and another cognitive process. It does not say that working memory underlies recognition memory. The passages on prefrontal function concern working memory or attentional control, not mPFC mediation of recognition memory (pages unavailable in our copy). (LLM, conf=0.83)
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In network models of local cortical circuits, state-dependent increases in inhibitory and excitatory drive can cause convergence of competing unstable patterns of activity to a single stable representation.
“In network models of local cortical circuits, state-dependent increases in inhibitory and excitatory drive can cause convergence of competing, unstable patterns of activity to a single, stable representation221”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [221]

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The 5‐HT<sub>2A</sub> receptor antagonist M100,907 prevents extracellular glutamate rising in response to NMDA receptor blockade in the mPFC
Ceglia, I., Carli, M., Baviera, M., Renoldi, G., Calcagno, E., & Invernizzi, R. W. (2004) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2004.02704.x · Cited by 79 · see citing works
Molecular Influences on Working Memory Circuits in Dorsolateral Prefrontal Cortex
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Dissociable dopaminergic control of saccadic target selection and its implications for reward modulation
Soltani, A., Noudoost, B., & Moore, T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221236110 · Cited by 73 · see citing works
Presynaptic NMDA Receptor Mechanisms for Enhancing Spontaneous Neurotransmitter Release
Kunz, P. A., Roberts, A. C., & Philpot, B. D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2482-12.2013 · Cited by 64 · see citing works
Cholinergic, But Not Dopaminergic or Noradrenergic, Enhancement Sharpens Visual Spatial Perception in Humans
Gratton, C., Yousef, S., Aarts, E., Wallace, D. L., D’Esposito, M., & Silver, M. A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2405-16.2017 · Cited by 63 · see citing works
Contribution of Cholinergic and GABAergic Mechanisms to Direction Tuning, Discriminability, Response Reliability, and Neuronal Rate Correlations in Macaque Middle Temporal Area
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Serotonin Regulates Performance Nonmonotonically in a Spatial Working Memory Network
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The Effects of Methylphenidate on the Neural Signatures of Sustained Attention
Dockree, P. M., Barnes, J. J., Matthews, N. L., Dean, A. J., Abe, R., Nandam, L. S., Kelly, S. P., Bellgrove, M. A., & O’Connell, R. G. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.04.016 · Cited by 52 · see citing works
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Synergistic effects of genetic variation in nicotinic and muscarinic receptors on visual attention but not working memory
Greenwood, P. M., Lin, M., Sundararajan, R., Fryxell, K. J., & Parasuraman, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807891106 · Cited by 51 · see citing works

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Predictive Processing: A Canonical Cortical Computation
Keller, G. B., & Mrsic-Flogel, T. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.003 · Cited by 836 · see citing works
Embedded Devices for Neuromorphic Time-Series Assessment
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Pupil Size as a Window on Neural Substrates of Cognition
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Dopamine and Cognitive Control in Prefrontal Cortex
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Dopamine: The Neuromodulator of Long-Term Synaptic Plasticity, Reward and Movement Control
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Mechanisms underlying gain modulation in the cortex
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Neuromodulatory Influences on Integration and Segregation in the Brain
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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
Dynamic coupling of whole-brain neuronal and neurotransmitter systems
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Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics
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Unsupervised identification of the internal states that shape natural behavior
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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 158 · see citing works
Basal forebrain cholinergic signalling: development, connectivity and roles in cognition
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Spatiotemporally heterogeneous coordination of cholinergic and neocortical activity
Lohani, S., Moberly, A. H., Benisty, H., Landa, B., Jing, M., Li, Y., Higley, M. J., & Cardin, J. A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01202-6 · Cited by 146 · see citing works
Working memory, attention and their relationship: A theoretical overview
Angelopoulou, E., & Drigas, A. (2021) · Research Society and Development · doi:10.33448/rsd-v10i5.15288 · Cited by 107 · 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
The vigilant sleeper: neural mechanisms of sensory (de)coupling during sleep
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Norepinephrine 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
Does the Mind Wander When the Brain Takes a Break? Local Sleep in Wakefulness, Attentional Lapses and Mind-Wandering
Andrillon, T., Windt, J., Silk, T. J., Drummond, S. P. A., Bellgrove, M. A., & Tsuchiya, N. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00949 · Cited by 124 · see citing works
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A Locus Coeruleus- Dorsal CA1 Dopaminergic Circuit Modulates Memory Linking
Chowdhury, A., Luchetti, A., Fernandes, G., Filho, D. A., Kastellakis, G., Tzilivaki, A., Ramirez, E. M., Tran, M. Y., Poirazi, P., & Silva, A. J. (2021) · Neuron · doi:10.1016/j.neuron.2022.08.001 · Cited by 120 · see citing works
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Megemont, M., McBurney-Lin, J., & Yang, H. (2022) · eLife · doi:10.7554/elife.70510 · Cited by 115 · see citing works
Thalamocortical excitability modulation guides human perception under uncertainty
Kosciessa, J. Q., Lindenberger, U., & Garrett, D. D. (2021) · Nature Communications · doi:10.1038/s41467-021-22511-7 · Cited by 101 · see citing works
Neuromodulators and Long-Term Synaptic Plasticity in Learning and Memory: A Steered-Glutamatergic Perspective
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Neural Circuits That Mediate Selective Attention: A Comparative Perspective
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Behavioural and neural signatures of perceptual decision-making are modulated by pupil-linked arousal
van Kempen, J., Loughnane, G. M., Newman, D. P., Kelly, S. P., Thiele, A., O’Connell, R. G., & Bellgrove, M. A. (2019) · eLife · doi:10.7554/elife.42541 · Cited by 88 · see citing works
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Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity
Zeraati, R., Shi, Y.-L., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., Levina, A., & Engel, T. A. (2023) · Nature Communications · doi:10.1038/s41467-023-37613-7 · Cited by 90 · see citing works
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How Outcome Uncertainty Mediates Attention, Learning, and Decision-Making
Monosov, I. E. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.06.009 · Cited by 87 · see citing works
A roadmap to integrate astrocytes into Systems Neuroscience
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Neuromodulator Signaling Bidirectionally Controls Vesicle Numbers in Human Synapses
Patzke, C., Brockmann, M. M., Dai, J., Gan, K. J., Grauel, M. K., Fenske, P., Liu, Y., Acuna, C., Rosenmund, C., & Südhof, T. C. (2019) · Cell · doi:10.1016/j.cell.2019.09.011 · Cited by 81 · see citing works
Eye blink rate increases as a function of cognitive load during an auditory oddball paradigm
Magliacano, A., Fiorenza, S., Estraneo, A., & Trojano, L. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2020.135293 · Cited by 78 · see citing works
Attentional Modulation of Vision Versus Proprioception During Action
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The integrity of dopaminergic and noradrenergic brain regions is associated with different aspects of late-life memory performance
Dahl, M. J., Bachman, S. L., Dutt, S., Düzel, S., Bodammer, N., Lindenberger, U., Kühn, S., Werkle‐Bergner, M., & Mather, M. (2023) · Nature Aging · doi:10.1038/s43587-023-00469-z · Cited by 73 · see citing works
Noradrenergic Responsiveness Supports Selective Attention across the Adult Lifespan
Dahl, M. J., Mather, M., Sander, M. C., & Werkle-Bergner, M. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.0398-19.2020 · Cited by 72 · see citing works
Not so spontaneous: Multi-dimensional representations of behaviors and context in sensory areas
Avitan, L., & Stringer, C. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.019 · Cited by 69 · see citing works
Priorities for research on neuromodulatory subcortical systems in Alzheimer's disease: Position paper from the NSS PIA of ISTAART
Ehrenberg, A. J., Kelberman, M. A., Liu, K. Y., Dahl, M. J., Weinshenker, D., Falgàs, N., Dutt, S., Mather, M., Ludwig, M., Betts, M. J., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12937 · Cited by 71 · see citing works
Transitions in information processing dynamics at the whole-brain network level are driven by alterations in neural gain
Li, M., Han, Y., Aburn, M. J., Breakspear, M. J., Poldrack, R. A., Shine, J. M., & Lizier, J. T. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006957 · Cited by 69 · see citing works
Neuromodulation of the mind-wandering brain state: the interaction between neuromodulatory tone, sharp wave-ripples and spontaneous thought
O’Callaghan, C., Walpola, I. C., & Shine, J. M. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0699 · Cited by 72 · see citing works
Locating the engram: Should we look for plastic synapses or information-storing molecules?
Langille, J. J., & Gallistel, C. R. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107164 · Cited by 67 · see citing works
Pupil size reflects activation of subcortical ascending arousal system nuclei during rest
Lloyd, B., de Voogd, L. D., Mäki-Marttunen, V., & Nieuwenhuis, S. (2023) · eLife · doi:10.7554/elife.84822 · Cited by 60 · see citing works
Right hemisphere superiority for executive control of attention
Spagna, A., Kim, T. H., Wu, T., & Fan, J. (2018) · Cortex · doi:10.1016/j.cortex.2018.12.012 · Cited by 66 · see citing works
Declining locus coeruleus–dopaminergic and noradrenergic modulation of long-term memory in aging and Alzheimer’s disease
Dahl, M. J., Kulesza, A., Werkle‐Bergner, M., & Mather, M. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105358 · Cited by 62 · see citing works
Spatial 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 · see citing works
Neurochemistry of Visual Attention
Lockhofen, D. E. L., & Mulert, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.643597 · Cited by 62 · see citing works
Top-down coordination of local cortical state during selective attention
van Kempen, J., Gieselmann, M. A., Boyd, M., Steinmetz, N. A., Moore, T., Engel, T. A., & Thiele, A. (2021) · Neuron · doi:10.1016/j.neuron.2020.12.013 · Cited by 61 · see citing works
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Decision-making: from neuroscience to neuroeconomics—an overview
Serra, D. (2021) · Theory and Decision · doi:10.1007/s11238-021-09830-3 · Cited by 61 · see citing works
Locus coeruleus norepinephrine contributes to visual-spatial attention by selectively enhancing perceptual sensitivity
Ghosh, S., & Maunsell, J. H. R. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.001 · Cited by 50 · see citing works
Attention improves information flow between neuronal populations without changing the communication subspace
Srinath, R., Ruff, D. A., & Cohen, M. R. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.076 · Cited by 53 · see citing works
A neural microcircuit model for a scalable scale‐invariant representation of time
Liu, Y., Tiganj, Z., Hasselmo, M. E., & Howard, M. W. (2018) · Hippocampus · doi:10.1002/hipo.22994 · Cited by 52 · see citing works
Cognitive functions associated with developing prefrontal cortex during adolescence and developmental neuropsychiatric disorders
Sakurai, T., & Gamo, N. J. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.11.007 · Cited by 49 · see citing works
Gated feedforward inhibition in the frontal cortex releases goal-directed action
Kim, J., Ma, D.-H., Jung, E., Choi, I., & Lee, S. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00910-9 · Cited by 50 · see citing works
Post-Saccadic Face Processing Is Modulated by Pre-Saccadic Preview: Evidence from Fixation-Related Potentials
Buonocore, A., Dimigen, O., & Melcher, D. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0861-19.2020 · Cited by 50 · see citing works
Visual Attention in the Prefrontal Cortex
Martínez-Trujillo, J. (2022) · Annual Review of Vision Science · doi:10.1146/annurev-vision-100720-031711 · Cited by 49 · see citing works
Astrocytes mediate long-lasting synaptic regulation of ventral tegmental area dopamine neurons
Requie, L. M., Gómez‐Gonzalo, M., Speggiorin, M., Managò, F., Melone, M., Congiu, M., Chiavegato, A., Lia, A., Zonta, M., Losi, G., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01193-4 · Cited by 48 · see citing works
Normalization governs attentional modulation within human visual cortex
Bloem, I. M., & Ling, S. (2019) · Nature Communications · doi:10.1038/s41467-019-13597-1 · Cited by 50 · see citing works
What is sleep exactly? Global and local modulations of sleep oscillations all around the clock
Andrillon, T., & Oudiette, D. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105465 · Cited by 43 · see citing works
Regulation of Stress-Induced Immunosuppression in the Context of Neuroendocrine, Cytokine, and Cellular Processes
Balakin, E. I., Yurku, K. A., Ivanov, M., Izotov, A., Игоревна, Н. В., & Pustovoit, V. I. (2025) · Biology · doi:10.3390/biology14010076 · Cited by 56 · see citing works
The system‐neurophysiological basis for how methylphenidate modulates perceptual–attentional conflicts during auditory processing
Adelhöfer, N., Gohil, K., Passow, S., Teufert, B., Roessner, V., Li, S., & Beste, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.24344 · Cited by 43 · see citing works
Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey
Jiao, L., Huang, Z., Lu, X., Liu, X., Yang, Y., Zhao, J., Zhang, J., Hou, B., Yang, S., Liu, F., et al. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3316302 · Cited by 45 · see citing works
Attention can be subdivided into neurobiological components corresponding to distinct behavioral effects
Luo, T. Z., & Maunsell, J. H. R. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902286116 · Cited by 43 · see citing works
Stability in the Face of Change: Lifelong Experience-Dependent Plasticity in the Sensory Cortex
Ribic, A. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00076 · Cited by 41 · see citing works
Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks
Taylor, N. L., D’Souza, A., Munn, B., Lv, J., Záborszky, L., Müller, E. J., Wainstein, G., Calamante, F., & Shine, J. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119455 · Cited by 42 · see citing works
Input dependent modulation of olfactory bulb activity by HDB GABAergic projections
Böhm, E., Brunert, D., & Rothermel, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-67276-z · Cited by 37 · see citing works
Plasticity of synapses and reward circuit function in the genesis and treatment of depression
Thompson, S. M. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-022-01422-1 · Cited by 40 · see citing works
Informing deep neural networks by multiscale principles of neuromodulatory systems
Mei, J., Muller, E. B., & Ramaswamy, S. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2021.12.008 · Cited by 42 · see citing works
Cell class-specific modulation of attentional signals by acetylcholine in macaque frontal eye field
Dasilva, M., Brandt, C., Gotthardt, S., Gieselmann, M. A., Distler, C., & Thiele, A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905413116 · Cited by 38 · see citing works
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Relating constructs of attention and working memory to social withdrawal in Alzheimer’s disease and schizophrenia: issues regarding paradigm selection
Gilmour, G., Porcelli, S., Bertaina‐Anglade, V., Arce, E., Dukart, J., Hayen, A., Lobo, A., López‐Antón, R., Pich, E. M., Pemberton, D. J., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.09.025 · Cited by 37 · see citing works
Spontaneous eye blinking as a diagnostic marker in prolonged disorders of consciousness
Magliacano, A., Rosenfelder, M. J., Hieber, N., Bender, A., Estraneo, A., & Trojano, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-01858-3 · Cited by 36 · see citing works
Basal forebrain mediates prosocial behavior via disinhibition of midbrain dopamine neurons
Wang, J., Li, J., Yang, Q., Xie, Y., Wen, Y., Xu, Z., Li, Y., Xu, T., Wu, Z., Duan, S., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2019295118 · Cited by 36 · see citing works
Task-induced modulations of neuronal activity along the auditory pathway
Franceschi, G. D., & Barkat, T. R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110115 · Cited by 37 · see citing works
Arousal dysregulation and executive dysfunction in attention deficit hyperactivity disorder (ADHD)
Isaac, V., López, V., & Escobar, M. J. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1336040 · Cited by 34 · see citing works
Dopamine Modulation of Motor and Sensory Cortical Plasticity among Vertebrates
Macêdo-Lima, M., & Remage‐Healey, L. (2021) · Integrative and Comparative Biology · doi:10.1093/icb/icab019 · Cited by 35 · see citing works
Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex
Shi, Y.-L., Steinmetz, N. A., Moore, T., Boahen, K. A., & Engel, T. A. (2022) · Nature Communications · doi:10.1038/s41467-021-27724-4 · Cited by 31 · see citing works
Flexible auditory training, psychophysics, and enrichment of common marmosets with an automated, touchscreen-based system
Calapai, A., Cabrera-Moreno, J., Moser, T., & Jeschke, M. (2022) · Nature Communications · doi:10.1038/s41467-022-29185-9 · Cited by 33 · see citing works
Pupil size as a window on neural substrates of cognitionPreprint
Joshi, S., & Gold, J. I. (2019) · doi:10.31234/osf.io/dvsme · Cited by 51 · see citing works
Visual hallucinations in Parkinson’s disease: spotlight on central cholinergic dysfunction
Ignatavicius, A., Matar, E., & Lewis, S. J. G. (2025) · Brain · doi:10.1093/brain/awae289 · Cited by 32 · see citing works
Differences in Noradrenaline Receptor Expression Across Different Neuronal Subtypes in Macaque Frontal Eye Field
Lee, M. L., Mueller, A. L., & Moore, T. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.574130 · Cited by 32 · see citing works
Self-Face Activates the Dopamine Reward Pathway without Awareness
Ota, C., & Nakano, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab096 · Cited by 32 · see citing works
A Reinforcement Meta-Learning Framework of Executive Function and Information Demand
Silvetti, M., Lasaponara, S., Daddaoua, N., Horan, M., & Gottlieb, J. P. (2021) · Neural Networks · doi:10.1016/j.neunet.2022.10.004 · Cited by 29 · see citing works
Awareness and consciousness in humans and animals – neural and behavioral correlates in an evolutionary perspective
Ehret, G., & Romand, R. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.941534 · Cited by 35 · see citing works
Flexible neural population dynamics govern the speed and stability of sensory encoding in mouse visual cortex
Horrocks, E. A. B., Rodrigues, F. R., & Saleem, A. B. (2024) · Nature Communications · doi:10.1038/s41467-024-50563-y · Cited by 30 · see citing works
Two distinct profiles of fMRI and neurophysiological activity elicited by acetylcholine in visual cortex
Zaldivar, D., Rauch, A., Logothetis, N. K., & Goense, J. B. M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808507115 · Cited by 27 · see citing works
Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models
Coronel‐Oliveros, C., Cofré, R., & Orio, P. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008737 · Cited by 30 · see citing works
Functional Coupling of the Locus Coeruleus Is Linked to Successful Cognitive Control
Grueschow, M., Kleim, B., & Ruff, C. C. (2022) · Brain Sciences · doi:10.3390/brainsci12030305 · Cited by 30 · see citing works
Independent response modulation of visual cortical neurons by attentional and behavioral states
Kanamori, T., & Mrsic‐Flogel, T. D. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.028 · Cited by 30 · see citing works
Acetylcholine and spinal locomotor networks: The insider
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The computational power of the human brain
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Authors: Thiele, A., & Bellgrove, M. A.
Affiliations: Newcastle University (GB)
Monash University (AU)
Corresponding author: Thiele, Alexander
ORCID: Thiele, Alexander
Bellgrove, Mark A.
Venue: Neuron
Publisher: Elsevier BV
Published: 2018-02
Volume: 97
Issue: 4
Pages: 769-785
ISSN: 0896-6273 (ISSN-L)
DOI: 10.1016/j.neuron.2018.01.008
PMC: PMC6204752
OpenAlex: W2788231085
Cited by: 350
References: 215
Citations by year: 2026: 36 · 2025: 33 · 2024: 54 · 2023: 52 · 2022: 45 · 2021: 50 · 2020: 32 · 2019: 35 · 2018: 13
FWCI: 4.34
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Neuron (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Monash University Research Portal (Monash University) (submittedVersion, cc-by)
Newcastle University ePrints (Newcastle Univesity) (cc-by)
Funders: Wellcome Trust (093104)
MRC (MR/P013031/1)
NC3R (NC/P000940/1)
Australian Research Council (FT130101488, DP150100986)
Newcastle University
Monash University
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords: attention, neuromodulation, attention deficits, single neurons, neural circuits, attentional control, attention allocation
MeSH terms: Acetylcholine, Animals, Attention, Biogenic Amines, Brain, Dopamine, Humans, Neural Pathways, Neurons, Norepinephrine, Serotonin

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Neuromodulation of Attention

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