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      Smell-induced gamma oscillations in human olfactory cortex are required for accurate perception of odor identity

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          Abstract

          Studies of neuronal oscillations have contributed substantial insight into the mechanisms of visual, auditory, and somatosensory perception. However, progress in such research in the human olfactory system has lagged behind. As a result, the electrophysiological properties of the human olfactory system are poorly understood, and, in particular, whether stimulus-driven high-frequency oscillations play a role in odor processing is unknown. Here, we used direct intracranial recordings from human piriform cortex during an odor identification task to show that 3 key oscillatory rhythms are an integral part of the human olfactory cortical response to smell: Odor induces theta, beta, and gamma rhythms in human piriform cortex. We further show that these rhythms have distinct relationships with perceptual behavior. Odor-elicited gamma oscillations occur only during trials in which the odor is accurately perceived, and features of gamma oscillations predict odor identification accuracy, suggesting that they are critical for odor identity perception in humans. We also found that the amplitude of high-frequency oscillations is organized by the phase of low-frequency signals shortly following sniff onset, only when odor is present. Our findings reinforce previous work on theta oscillations, suggest that gamma oscillations in human piriform cortex are important for perception of odor identity, and constitute a robust identification of the characteristic electrophysiological response to smell in the human brain. Future work will determine whether the distinct oscillations we identified reflect distinct perceptual features of odor stimuli.

          Abstract

          Intracranial recordings from human olfactory cortex reveal a characteristic spectrotemporal response to odors, including theta, beta and gamma oscillations, and show that high-frequency responses are critical for accurate perception of odors.

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          Most cited references148

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          Improved optimization for the robust and accurate linear registration and motion correction of brain images.

          Linear registration and motion correction are important components of structural and functional brain image analysis. Most modern methods optimize some intensity-based cost function to determine the best registration. To date, little attention has been focused on the optimization method itself, even though the success of most registration methods hinges on the quality of this optimization. This paper examines the optimization process in detail and demonstrates that the commonly used multiresolution local optimization methods can, and do, get trapped in local minima. To address this problem, two approaches are taken: (1) to apodize the cost function and (2) to employ a novel hybrid global-local optimization method. This new optimization method is specifically designed for registering whole brain images. It substantially reduces the likelihood of producing misregistrations due to being trapped by local minima. The increased robustness of the method, compared to other commonly used methods, is demonstrated by a consistency test. In addition, the accuracy of the registration is demonstrated by a series of experiments with motion correction. These motion correction experiments also investigate how the results are affected by different cost functions and interpolation methods.
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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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              A global optimisation method for robust affine registration of brain images

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                5 January 2022
                January 2022
                5 January 2022
                : 20
                : 1
                : e3001509
                Affiliations
                [1 ] Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
                [2 ] Department of Neurosurgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
                University of Glasgow, UNITED KINGDOM
                Author notes

                The authors declare no completing interest.

                Author information
                https://orcid.org/0000-0002-9060-5825
                https://orcid.org/0000-0003-0897-6465
                https://orcid.org/0000-0003-4411-5283
                https://orcid.org/0000-0001-7726-2496
                Article
                PBIOLOGY-D-21-01584
                10.1371/journal.pbio.3001509
                8765613
                34986157
                244ea063-2cb9-4f2e-80dc-d9cc319586f5
                © 2022 Yang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 June 2021
                : 8 December 2021
                Page count
                Figures: 7, Tables: 0, Pages: 30
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000055, national institute on deafness and other communication disorders;
                Award ID: R01-DC-016364
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000055, national institute on deafness and other communication disorders;
                Award ID: R01-DC-018539
                Award Recipient :
                This work was funded by National Institutes of Health (NIDCD) grants R01-DC-016364 and R01-DC-018539 to C.Z. https://www.nidcd.nih.gov/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
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                Brain
                Piriform Cortex
                Medicine and Health Sciences
                Anatomy
                Brain
                Piriform Cortex
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                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
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                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
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                Physical Sciences
                Mathematics
                Discrete Mathematics
                Combinatorics
                Permutation
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Perception
                Sensory Perception
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Perception
                Sensory Perception
                Social Sciences
                Psychology
                Cognitive Psychology
                Perception
                Sensory Perception
                Biology and Life Sciences
                Neuroscience
                Sensory Perception
                Biology and Life Sciences
                Physiology
                Sensory Physiology
                Olfactory System
                Biology and Life Sciences
                Neuroscience
                Sensory Systems
                Olfactory System
                Engineering and Technology
                Signal Processing
                Signal Filtering
                Research and Analysis Methods
                Spectrum Analysis Techniques
                Gamma Spectrometry
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Respiration
                Inhalation
                Custom metadata
                vor-update-to-uncorrected-proof
                2022-01-18
                All relevant data are within the paper and its Supporting Information files ( S1, S2, S3, S4, S5, S6, S7, and S8 Data).

                Life sciences
                Life sciences

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