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      Prefrontal Parvalbumin Neurons in Control of Attention

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          Summary

          While signatures of attention have been extensively studied in sensory systems, the neural sources and computations responsible for top-down control of attention are largely unknown. Using chronic recordings in mice, we found that fast-spiking parvalbumin (FS-PV) interneurons in medial prefrontal cortex (mPFC) uniformly show increased and sustained firing during goal-driven attentional processing, correlating to the level of attention. Elevated activity of FS-PV neurons on the timescale of seconds predicted successful execution of behavior. Successful allocation of attention was characterized by strong synchronization of FS-PV neurons, increased gamma oscillations, and phase locking of pyramidal firing. Phase-locked pyramidal neurons showed gamma-phase-dependent rate modulation during successful attentional processing. Optogenetic silencing of FS-PV neurons deteriorated attentional processing, while optogenetic synchronization of FS-PV neurons at gamma frequencies had pro-cognitive effects and improved goal-directed behavior. FS-PV neurons thus act as a functional unit coordinating the activity in the local mPFC circuit during goal-driven attentional processing.

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          Highlights

          • Increased firing of mPFC PV interneurons is a signature of top-down attention

          • Attention is characterized by synchronization of mPFC PV neurons and elevated gamma

          • Local pyramidal neurons show gamma-phase-dependent rate modulation during attention

          • Synchronization of mPFC PV neurons at gamma frequencies has pro-cognitive effects

          Abstract

          A combination of electrophysiology and optogenetic manipulations reveal that inhibitory parvalbumin interneurons and gamma oscillations are central to prefrontal cortex's control of attention.

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          Most cited references50

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          Mechanisms of gamma oscillations.

          Gamma rhythms are commonly observed in many brain regions during both waking and sleep states, yet their functions and mechanisms remain a matter of debate. Here we review the cellular and synaptic mechanisms underlying gamma oscillations and outline empirical questions and controversial conceptual issues. Our main points are as follows: First, gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition. Second, gamma oscillations are short-lived and typically emerge from the coordinated interaction of excitation and inhibition, which can be detected as local field potentials. Third, gamma rhythm typically concurs with irregular firing of single neurons, and the network frequency of gamma oscillations varies extensively depending on the underlying mechanism. To document gamma oscillations, efforts should be made to distinguish them from mere increases of gamma-band power and/or increased spiking activity. Fourth, the magnitude of gamma oscillation is modulated by slower rhythms. Such cross-frequency coupling may serve to couple active patches of cortical circuits. Because of their ubiquitous nature and strong correlation with the "operational modes" of local circuits, gamma oscillations continue to provide important clues about neuronal population dynamics in health and disease.
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            Interneuron dysfunction in psychiatric disorders.

            Schizophrenia, autism and intellectual disabilities are best understood as spectrums of diseases that have broad sets of causes. However, it is becoming evident that these conditions also have overlapping phenotypes and genetics, which is suggestive of common deficits. In this context, the idea that the disruption of inhibitory circuits might be responsible for some of the clinical features of these disorders is gaining support. Recent studies in animal models demonstrate that the molecular basis of such disruption is linked to specific defects in the development and function of interneurons - the cells that are responsible for establishing inhibitory circuits in the brain. These insights are leading to a better understanding of the causes of schizophrenia, autism and intellectual disabilities, and may contribute to the development of more-effective therapeutic interventions.
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              Interneuron cell types are fit to function.

              Understanding brain circuits begins with an appreciation of their component parts - the cells. Although GABAergic interneurons are a minority population within the brain, they are crucial for the control of inhibition. Determining the diversity of these interneurons has been a central goal of neurobiologists, but this amazing cell type has so far defied a generalized classification system. Interneuron complexity within the telencephalon could be simplified by viewing them as elaborations of a much more finite group of developmentally specified cardinal classes that become further specialized as they mature. Our perspective emphasizes that the ultimate goal is to dispense with classification criteria and directly define interneuron types by function.
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                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                14 January 2016
                14 January 2016
                : 164
                : 1-2
                : 208-218
                Affiliations
                [1 ]Department of Neuroscience, Karolinska Institutet, Retzius väg 8, 171 77 Stockholm, Sweden
                [2 ]Howard Hughes Medical Institute, W080 Clark Center, 318 Campus Drive West, Stanford University, Stanford, CA 94305, USA
                [3 ]Department of Bioengineering, W080 Clark Center, 318 Campus Drive West, Stanford University, Stanford, CA 94305, USA
                [4 ]Department of Psychiatry and Behavioral Sciences, W080 Clark Center, 318 Campus Drive West, Stanford University, Stanford, CA 94305, USA
                Author notes
                []Corresponding author marie.carlen@ 123456ki.se
                Article
                S0092-8674(15)01557-3
                10.1016/j.cell.2015.11.038
                4715187
                26771492
                828df7ba-bf8d-4afb-8c30-d9fae6ed2b4b
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 7 July 2015
                : 9 September 2015
                : 11 November 2015
                Categories
                Article

                Cell biology
                Cell biology

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