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Neuropsychology Review Mar 2024Olfactory training (OT), or smell training,consists of repeated exposure to odorants over time with the intended neuroplastic effect of improving or remediating... (Review)
Review
Olfactory training (OT), or smell training,consists of repeated exposure to odorants over time with the intended neuroplastic effect of improving or remediating olfactory functioning. Declines in olfaction parallel declines in cognition in various pathological conditions and aging. Research suggests a dynamic neural connection exists between olfaction and cognition. Thus, if OT can improve olfaction, could OT also improve cognition and support brain function? To answer this question, we conducted a systematic review of the literature to determine whether there is evidence that OT translates to improved cognition or altered brain morphology and connectivity that supports cognition. Across three databases (MEDLINE, Scopus, & Embase), 18 articles were identified in this systematic review. Overall, the reviewed studies provided emerging evidence that OT is associated with improved global cognition, and in particular, verbal fluency and verbal learning/memory. OT is also associated with increases in the volume/size of olfactory-related brain regions, including the olfactory bulb and hippocampus, and altered functional connectivity. Interestingly, these positive effects were not limited to patients with smell loss (i.e., hyposmia & anosmia) but normosmic (i.e., normal ability to smell) participants benefitted as well. Implications for practice and research are provided.
Topics: Humans; Brain; Cognition; Olfaction Disorders; Olfactory Training; Smell
PubMed: 36725781
DOI: 10.1007/s11065-022-09573-0 -
Neuron Apr 2023The coincidence between conditioned stimulus (CS) and unconditioned stimulus (US) is essential for associative learning; however, the mechanism regulating the duration...
The coincidence between conditioned stimulus (CS) and unconditioned stimulus (US) is essential for associative learning; however, the mechanism regulating the duration of this temporal window remains unclear. Here, we found that serotonin (5-HT) bi-directionally regulates the coincidence time window of olfactory learning in Drosophila and affects synaptic plasticity of Kenyon cells (KCs) in the mushroom body (MB). Utilizing GPCR-activation-based (GRAB) neurotransmitter sensors, we found that KC-released acetylcholine (ACh) activates a serotonergic dorsal paired medial (DPM) neuron, which in turn provides inhibitory feedback to KCs. Physiological stimuli induce spatially heterogeneous 5-HT signals, which proportionally gate the intrinsic coincidence time windows of different MB compartments. Artificially reducing or increasing the DPM neuron-released 5-HT shortens or prolongs the coincidence window, respectively. In a sequential trace conditioning paradigm, this serotonergic neuromodulation helps to bridge the CS-US temporal gap. Altogether, we report a model circuitry for perceiving the temporal coincidence and determining the causal relationship between environmental events.
Topics: Animals; Smell; Serotonin; Drosophila; Conditioning, Classical; Neurons; Mushroom Bodies
PubMed: 36706757
DOI: 10.1016/j.neuron.2022.12.034 -
Nature Jul 2020Animals coexist in commensal, pathogenic or mutualistic relationships with complex communities of diverse organisms, including microorganisms. Some bacteria produce...
Animals coexist in commensal, pathogenic or mutualistic relationships with complex communities of diverse organisms, including microorganisms. Some bacteria produce bioactive neurotransmitters that have previously been proposed to modulate nervous system activity and behaviours of their hosts. However, the mechanistic basis of this microbiota-brain signalling and its physiological relevance are largely unknown. Here we show that in Caenorhabditis elegans, the neuromodulator tyramine produced by commensal Providencia bacteria, which colonize the gut, bypasses the requirement for host tyramine biosynthesis and manipulates a host sensory decision. Bacterially produced tyramine is probably converted to octopamine by the host tyramine β-hydroxylase enzyme. Octopamine, in turn, targets the OCTR-1 octopamine receptor on ASH nociceptive neurons to modulate an aversive olfactory response. We identify the genes that are required for tyramine biosynthesis in Providencia, and show that these genes are necessary for the modulation of host behaviour. We further find that C. elegans colonized by Providencia preferentially select these bacteria in food choice assays, and that this selection bias requires bacterially produced tyramine and host octopamine signalling. Our results demonstrate that a neurotransmitter produced by gut bacteria mimics the functions of the cognate host molecule to override host control of a sensory decision, and thereby promotes fitness of both the host and the microorganism.
Topics: Animals; Avoidance Learning; Caenorhabditis elegans; Caenorhabditis elegans Proteins; Feeding Behavior; Gastrointestinal Microbiome; Intestines; Metabolomics; Mutation; Neurotransmitter Agents; Octanols; Octopamine; Providencia; Receptors, Biogenic Amine; Receptors, G-Protein-Coupled; Sensory Receptor Cells; Smell; Tyramine; Tyrosine Decarboxylase
PubMed: 32555456
DOI: 10.1038/s41586-020-2395-5 -
Current Opinion in Neurobiology Oct 2022Volatile chemicals in the environment provide ethologically important information to many animals. However, how animals learn to use this information is only beginning... (Review)
Review
Volatile chemicals in the environment provide ethologically important information to many animals. However, how animals learn to use this information is only beginning to be understood. This review highlights recent experimental advances elucidating olfactory learning in rodents, ranging from adaptations to the environment to task-dependent refinement and multisensory associations. The broad range of phenomena, mechanisms, and brain areas involved demonstrate the complex and multifaceted nature of olfactory learning.
Topics: Animals; Brain; Conditioning, Classical; Learning; Smell
PubMed: 35998474
DOI: 10.1016/j.conb.2022.102623 -
Journal of Comparative Physiology. A,... Jul 2023Using odors to find food and mates is one of the most ancient and highly conserved behaviors. Arthropods from flies to moths to crabs use broadly similar strategies to... (Review)
Review
Using odors to find food and mates is one of the most ancient and highly conserved behaviors. Arthropods from flies to moths to crabs use broadly similar strategies to navigate toward odor sources-such as integrating flow information with odor information, comparing odor concentration across sensors, and integrating odor information over time. Because arthropods share many homologous brain structures-antennal lobes for processing olfactory information, mechanosensors for processing flow, mushroom bodies (or hemi-ellipsoid bodies) for associative learning, and central complexes for navigation, it is likely that these closely related behaviors are mediated by conserved neural circuits. However, differences in the types of odors they seek, the physics of odor dispersal, and the physics of locomotion in water, air, and on substrates mean that these circuits must have adapted to generate a wide diversity of odor-seeking behaviors. In this review, we discuss common strategies and specializations observed in olfactory navigation behavior across arthropods, and review our current knowledge about the neural circuits subserving this behavior. We propose that a comparative study of arthropod nervous systems may provide insight into how a set of basic circuit structures has diversified to generate behavior adapted to different environments.
Topics: Animals; Arthropods; Olfactory Pathways; Smell; Odorants; Brain
PubMed: 36658447
DOI: 10.1007/s00359-022-01611-9 -
Annual Review of Physiology Feb 2021In mammals, odor information detected by olfactory sensory neurons is converted to a topographic map of activated glomeruli in the olfactory bulb. Mitral cells and... (Review)
Review
In mammals, odor information detected by olfactory sensory neurons is converted to a topographic map of activated glomeruli in the olfactory bulb. Mitral cells and tufted cells transmit signals sequentially to the olfactory cortex for behavioral outputs. To elicit innate behavioral responses, odor signals are directly transmitted by distinct subsets of mitral cells from particular functional domains in the olfactory bulb to specific amygdala nuclei. As for the learned decisions, input signals are conveyed by tufted cells as well as by mitral cells to the olfactory cortex. Behavioral scene cells link the odor information to the valence cells in the amygdala to elicit memory-based behavioral responses. Olfactory decision and perception take place in relation to the respiratory cycle. How is the sensory quality imposed on the olfactory inputs for behavioral outputs? How are the two types of odor signals, innate and learned, processed during respiration? Here, we review recent progress on the study of neural circuits involved in decision making in the mouse olfactory system.
Topics: Amygdala; Animals; Humans; Neurons; Olfactory Bulb; Olfactory Cortex; Smell
PubMed: 33228453
DOI: 10.1146/annurev-physiol-031820-092824 -
Cold Spring Harbor Protocols Mar 2023The larva has become an attractive model system for studying fundamental questions in neuroscience. Although the focus was initially on topics such as the structure of...
The larva has become an attractive model system for studying fundamental questions in neuroscience. Although the focus was initially on topics such as the structure of genes, mechanisms of inheritance, genetic regulation of development, and the function and physiology of ion channels, today it is often on the cellular and molecular principles of naive and learned behavior. larvae have developed different mechanisms, often widespread in similar manifestations in the animal kingdom, to orient themselves toward olfactory, gustatory, mechanosensory, thermal, and visual stimuli to coordinate their locomotion appropriately. To adapt to changes in the environment, larvae are able to learn to categorize some of these sensory impressions as "good" or "bad." Depending on their relevance and reliability, the larva learns them and constantly updates these memories. Laboratory experiments allow us to parametrically study and describe many of these processes (e.g., olfactory appetitive and aversive memory or visual appetitive and aversive memory). Combining behavioral tests with various neurogenetic techniques allows us to thermally or optogenetically activate or inhibit individual cells during learning, memory consolidation, and memory retrieval. The molecular and genetic bases of larval learning can be analyzed by using specific mutants. The CRISPR-Cas method has established extensive new directions in this area, in addition to the already wide-ranging traditional approaches, like the / system. The combination of these genetic methods with the simplicity and cost-effectiveness of the introduced behavioral assay provides a platform for discovering the fundamental mechanisms underlying learning and memory formation in the rather simple larval brain.
Topics: Animals; Drosophila; Larva; Reproducibility of Results; Memory; Smell; Drosophila melanogaster
PubMed: 36180213
DOI: 10.1101/pdb.top107863 -
Journal of Fish Biology Jul 2019Chemical communication of predation risk has evolved multiple times in fish species, with conspecific alarm substance (CAS) being the most well understood mechanism. CAS... (Review)
Review
Chemical communication of predation risk has evolved multiple times in fish species, with conspecific alarm substance (CAS) being the most well understood mechanism. CAS is released after epithelial damage, usually when prey fish are captured by a predator and elicits neurobehavioural adjustments in conspecifics which increase the probability of avoiding predation. As such, CAS is a partial predator stimulus, eliciting risk assessment-like and avoidance behaviours and disrupting the predation sequence. The present paper reviews the distribution and putative composition of CAS in fish and presents a model for the neural processing of these structures by the olfactory and the brain aversive systems. Applications of CAS in the behavioural neurosciences and neuropharmacology are also presented, exploiting the potential of model fish [e.g., zebrafish Danio rerio, guppies Poecilia reticulata, minnows Phoxinus phoxinus) in neurobehavioural research.
Topics: Animal Communication; Animals; Avoidance Learning; Cyprinidae; Phylogeny; Poecilia; Predatory Behavior; Smell; Zebrafish
PubMed: 30345536
DOI: 10.1111/jfb.13844 -
Scientific Reports Mar 2021Olfactory learning and conditioning in the fruit fly is typically modelled by correlation-based associative synaptic plasticity. It was shown that the conditioning of an...
Olfactory learning and conditioning in the fruit fly is typically modelled by correlation-based associative synaptic plasticity. It was shown that the conditioning of an odor-evoked response by a shock depends on the connections from Kenyon cells (KC) to mushroom body output neurons (MBONs). Although on the behavioral level conditioning is recognized to be predictive, it remains unclear how MBONs form predictions of aversive or appetitive values (valences) of odors on the circuit level. We present behavioral experiments that are not well explained by associative plasticity between conditioned and unconditioned stimuli, and we suggest two alternative models for how predictions can be formed. In error-driven predictive plasticity, dopaminergic neurons (DANs) represent the error between the predictive odor value and the shock strength. In target-driven predictive plasticity, the DANs represent the target for the predictive MBON activity. Predictive plasticity in KC-to-MBON synapses can also explain trace-conditioning, the valence-dependent sign switch in plasticity, and the observed novelty-familiarity representation. The model offers a framework to dissect MBON circuits and interpret DAN activity during olfactory learning.
Topics: Animals; Avoidance Learning; Dopaminergic Neurons; Drosophila; Models, Biological; Mushroom Bodies; Neuronal Plasticity; Smell; Stochastic Processes; Synapses
PubMed: 33762640
DOI: 10.1038/s41598-021-85841-y -
Nature Aug 2021Infection-induced aversion against enteropathogens is a conserved sickness behaviour that can promote host survival. The aetiology of this behaviour remains poorly...
Infection-induced aversion against enteropathogens is a conserved sickness behaviour that can promote host survival. The aetiology of this behaviour remains poorly understood, but studies in Drosophila have linked olfactory and gustatory perception to avoidance behaviours against toxic microorganisms. Whether and how enteric infections directly influence sensory perception to induce or modulate such behaviours remains unknown. Here we show that enteropathogen infection in Drosophila can modulate olfaction through metabolic reprogramming of ensheathing glia of the antennal lobe. Infection-induced unpaired cytokine expression in the intestine activates JAK-STAT signalling in ensheathing glia, inducing the expression of glial monocarboxylate transporters and the apolipoprotein glial lazarillo (GLaz), and affecting metabolic coupling of glia and neurons at the antennal lobe. This modulates olfactory discrimination, promotes the avoidance of bacteria-laced food and increases fly survival. Although transient in young flies, gut-induced metabolic reprogramming of ensheathing glia becomes constitutive in old flies owing to age-related intestinal inflammation, which contributes to an age-related decline in olfactory discrimination. Our findings identify adaptive glial metabolic reprogramming by gut-derived cytokines as a mechanism that causes lasting changes in a sensory system in ageing flies.
Topics: Aging; Animals; Avoidance Learning; Cytokines; Drosophila Proteins; Drosophila melanogaster; Female; Inflammation; Intestines; Janus Kinases; Lactic Acid; Lipid Metabolism; Neuroglia; Neurons; Pectobacterium carotovorum; STAT Transcription Factors; Signal Transduction; Smell; Survival Rate; Transcription Factors
PubMed: 34290404
DOI: 10.1038/s41586-021-03756-0