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      Lactate supply overtakes glucose when neural computational and cognitive loads scale up

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          Significance

          Brain activity and performance are constrained by energy metabolism. Glucose and lactate have been proposed as energy substrates for neurons allocated to various forms of memory. We demonstrate that glucose and lactate metabolism are differentially engaged in neuronal fueling depending on the activity-dependent plasticity and behavioral complexity. These results reconcile a decades-long debate regarding the nature of the neuroenergetic sources used by synaptic activity with the potential of inspiring future lines of research regarding neuroenergetic rules. The brain has high energy demands, and alterations in neuroenergetics are hallmarks of several neuropathologies. A better knowledge of the cellular and molecular mechanisms of neuroenergetics, as reported here, may be instructive in targeting energy metabolism deficits as a therapeutic approach for neurodegenerative diseases.

          Abstract

          Neural computational power is determined by neuroenergetics, but how and which energy substrates are allocated to various forms of memory engram is unclear. To solve this question, we asked whether neuronal fueling by glucose or lactate scales differently upon increasing neural computation and cognitive loads. Here, using electrophysiology, two-photon imaging, cognitive tasks, and mathematical modeling, we show that both glucose and lactate are involved in engram formation, with lactate supporting long-term synaptic plasticity evoked by high-stimulation load activity patterns and high attentional load in cognitive tasks and glucose being sufficient for less demanding neural computation and learning tasks. Indeed, we show that lactate is mandatory for demanding neural computation, such as theta-burst stimulation, while glucose is sufficient for lighter forms of activity-dependent long-term potentiation (LTP), such as spike timing–dependent plasticity (STDP). We find that subtle variations of spike number or frequency in STDP are sufficient to shift the on-demand fueling from glucose to lactate. Finally, we demonstrate that lactate is necessary for a cognitive task requiring high attentional load, such as the object-in-place task, and for the corresponding in vivo hippocampal LTP expression but is not needed for a less demanding task, such as a simple novel object recognition. Overall, these results demonstrate that glucose and lactate metabolism are differentially engaged in neuronal fueling depending on the complexity of the activity-dependent plasticity and behavior.

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          Most cited references53

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          An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

          Historically, the locus coeruleus-norepinephrine (LC-NE) system has been implicated in arousal, but recent findings suggest that this system plays a more complex and specific role in the control of behavior than investigators previously thought. We review neurophysiological and modeling studies in monkey that support a new theory of LC-NE function. LC neurons exhibit two modes of activity, phasic and tonic. Phasic LC activation is driven by the outcome of task-related decision processes and is proposed to facilitate ensuing behaviors and to help optimize task performance (exploitation). When utility in the task wanes, LC neurons exhibit a tonic activity mode, associated with disengagement from the current task and a search for alternative behaviors (exploration). Monkey LC receives prominent, direct inputs from the anterior cingulate (ACC) and orbitofrontal cortices (OFC), both of which are thought to monitor task-related utility. We propose that these frontal areas produce the above patterns of LC activity to optimize utility on both short and long timescales.
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            The economy of brain network organization.

            The brain is expensive, incurring high material and metabolic costs for its size--relative to the size of the body--and many aspects of brain network organization can be mostly explained by a parsimonious drive to minimize these costs. However, brain networks or connectomes also have high topological efficiency, robustness, modularity and a 'rich club' of connector hubs. Many of these and other advantageous topological properties will probably entail a wiring-cost premium. We propose that brain organization is shaped by an economic trade-off between minimizing costs and allowing the emergence of adaptively valuable topological patterns of anatomical or functional connectivity between multiple neuronal populations. This process of negotiating, and re-negotiating, trade-offs between wiring cost and topological value continues over long (decades) and short (millisecond) timescales as brain networks evolve, grow and adapt to changing cognitive demands. An economical analysis of neuropsychiatric disorders highlights the vulnerability of the more costly elements of brain networks to pathological attack or abnormal development.
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              Lactate in the brain: from metabolic end-product to signalling molecule

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                14 November 2022
                22 November 2022
                14 November 2022
                : 119
                : 47
                : e2212004119
                Affiliations
                [1] aDynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL , 75005 Paris, France;
                [2] bAIStroSight Lab, INRIA, Hospices Civils de Lyon, Université Claude Bernard Lyon 1 , 69603 Villeurbanne, France;
                [3] cUniversity of Lyon, LIRIS UMR5205 , 69622 Villeurbanne, France;
                [4] dBiological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST) , 23955-6900 Thuwal, Saudi Arabia;
                [5] eBrain Mind Institute, EPFL , 1015 Lausanne, Switzerland
                Author notes

                Edited by Marcus Raichle, Washington University of School of Medicine Mallinckrodt Institute of Radiology and Department of Neurology, St. Louis, MO; received July 12, 2022; accepted October 10, 2022

                Author contributions: H.B., P.J.M., and L.V. designed research; Y.D., C.P., S.P., and H.B. performed research; L.V. contributed new reagents/analytic tools; Y.D., C.P., S.P., H.B., and L.V. analyzed data; H.B., P.J.M., and L.V. wrote the paper; and L.V. supervised the whole study.

                1H.B., P.J.M., and L.V. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-3470-683X
                https://orcid.org/0000-0003-0738-1662
                Article
                202212004
                10.1073/pnas.2212004119
                9704697
                36375086
                16b5cd0d-cf76-47da-8d1e-ec1c4034614a
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 10 October 2022
                Page count
                Pages: 9
                Funding
                Funded by: Agence Nationale de la Recherche (ANR) 501100001665
                Award ID: Dopaciumcity
                Award Recipient : Laurent Venance
                Funded by: Fondation de l'Ecole Normale Superieure (FENS) 100015052
                Award ID: PhD fellowship
                Award Recipient : Charlotte Piette
                Funded by: Institut National de la Santé et de la Recherche Médicale (Inserm) 501100001677
                Award ID: Inserm
                Award Recipient : Laurent Venance
                Funded by: Centre National de la Recherche Scientifique (CNRS) 501100004794
                Award ID: CNRS
                Award Recipient : Laurent Venance
                Funded by: Fondation Bettencourt Schueller (Bettencourt Schueller Foundation) 501100007492
                Award ID: Fondation Bettencourt Schueller
                Award Recipient : Laurent Venance
                Categories
                424
                Biological Sciences
                Neuroscience

                neuroenergetic,synaptic plasticity,learning and memory,lactate,glucose

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