Experience-dependent plasticity of gustatory insular cortex circuits and taste preferences

Schiff, Hillary C.; Kogan, Joshua F.; Isaac, Maria; Czarnecki, Lindsey A.; Fontanini, Alfredo; Maffei, Arianna

doi:10.1126/sciadv.ade6561

Cited by 10 publications

(10 citation statements)

References 86 publications

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“…It is important to note that repeated exposure to specific beverages or foods can lead to the strengthening or weakening of neural connections between various brain regions involved in taste perception, including the cortex, brainstem, thalamus, and taste receptors. These changes in neural connections can ultimately impact taste preferences. − …”

Section: Resultsmentioning

confidence: 99%

Taste Bud-Inspired Single-Drop Multitaste Sensing for Comprehensive Flavor Analysis with Deep Learning Algorithms

Jung,

Yea,

Lee

et al. 2023

ACS Appl. Mater. Interfaces

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The electronic tongue (E-tongue) system has emerged as a significant innovation, aiming to replicate the complexity of human taste perception. In spite of the advancements in E-tongue technologies, two primary challenges remain to be addressed. First, evaluating the actual taste is complex due to interactions between taste and substances, such as synergistic and suppressive effects. Second, ensuring reliable outcomes in dynamic conditions, particularly when faced with high deviation error data, presents a significant challenge. The present study introduces a bioinspired artificial E-tongue system that mimics the gustatory system by integrating multiple arrays of taste sensors to emulate taste buds in the human tongue and incorporating a customized deep-learning algorithm for taste interpretation. The developed E-tongue system is capable of detecting four distinct tastes in a single drop of dietary compounds, such as saltiness, sourness, astringency, and sweetness, demonstrating notable reversibility and selectivity. The taste profiles of six different wines are obtained by the E-tongue system and demonstrated similarities in taste trends between the E-tongue system and user reviews from online, although some disparities still exist. To mitigate these disparities, a prototype-based classifier with soft voting is devised and implemented for the artificial E-tongue system. The artificial E-tongue system achieved a high classification accuracy of ∼95% in distinguishing among six different wines and ∼90% accuracy even in an environment where more than 1/3 of the data contained errors. Moreover, by harnessing the capabilities of deep learning technology, a recommendation system was demonstrated to enhance the user experience.

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Section: Resultsmentioning

confidence: 99%

Taste Bud-Inspired Single-Drop Multitaste Sensing for Comprehensive Flavor Analysis with Deep Learning Algorithms

Jung,

Yea,

Lee

et al. 2023

ACS Appl. Mater. Interfaces

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“…Therapies such as mindfulness-based cognitive therapy might help to improve elementary aspects of the self such as the SSS and consequently act upon higher-order self-components, such as autobiographical memory. Furthermore, recent studies in rodents demonstrated how the IC is plastic [ 202 , 203 , 204 , 205 , 206 ], thus opening new perspectives of treatments, such as repetitive transcranial magnetic stimulation, that our team is currently experimenting in DLB to explore the insula’s different roles (STIMLEWY study). By identifying self-impairments and their anatomical substrates in DLB, we could use the same methods to improve self-awareness, and also more broadly global cognition, sensory abilities and even emotional states.…”

Section: Discussionmentioning

confidence: 99%

Me, Myself and My Insula: An Oasis in the Forefront of Self-Consciousness

Tisserand

Philippi

Botzung

et al. 2023

Biology

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The insula is a multiconnected brain region that centralizes a wide range of information, from the most internal bodily states, such as interoception, to high-order processes, such as knowledge about oneself. Therefore, the insula would be a core region involved in the self networks. Over the past decades, the question of the self has been extensively explored, highlighting differences in the descriptions of the various components but also similarities in the global structure of the self. Indeed, most of the researchers consider that the self comprises a phenomenological part and a conceptual part, in the present moment or extending over time. However, the anatomical substrates of the self, and more specifically the link between the insula and the self, remain unclear. We conducted a narrative review to better understand the relationship between the insula and the self and how anatomical and functional damages to the insular cortex can impact the self in various conditions. Our work revealed that the insula is involved in the most primitive levels of the present self and could consequently impact the self extended in time, namely autobiographical memory. Across different pathologies, we propose that insular damage could engender a global collapse of the self.

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“…Despite the advantages offered by GC as a model for studying plasticity 33,38,39 and its well-demonstrated role in conditioned taste aversion 33,36 , familiarity learning 40,41 and associative learning 32,42,43 , few studies have investigated GC’s involvement in taste discrimination learning. Work in rodents has shown that lesions of GC impact salt discrimination learning, confirming a role for this region in this process 44 .…”

Section: Discussionmentioning

confidence: 99%

“…Surgeries were performed as previously described 13,38,42 . Mice were anesthetized with a cocktail of ketamine (70 mg/kg) and dexmedetomidine (1 mg/kg) administered via intraperitoneal injection.…”

Section: Methodsmentioning

confidence: 99%

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Learning enhances representations of taste-guided decisions in the mouse gustatory insular cortex

Kogan,

Fontanini

2023

Preprint

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Learning to discriminate overlapping gustatory stimuli that predict distinct outcomes - a feat known as discrimination learning - can mean the difference between ingesting a poison or a nutritive meal. Despite the obvious importance of this process, very little is known on the neural basis of taste discrimination learning. In other sensory modalities, this form of learning can be mediated by either sharpening of sensory representations, or enhanced ability of "decision-making" circuits to interpret sensory information. Given the dual role of the gustatory insular cortex (GC) in encoding both sensory and decision-related variables, this region represents an ideal site for investigating how neural activity changes as animals learn a novel taste discrimination. Here we present results from experiments relying on two photon calcium imaging of GC neural activity in mice performing a taste-guided mixture discrimination task. The task allows for recording of neural activity before and after learning induced by training mice to discriminate increasingly similar pairs of taste mixtures. Single neuron and population analyses show a time-varying pattern of activity, with early sensory responses emerging after taste delivery and binary, choice encoding responses emerging later in the delay before a decision is made. Our results demonstrate that while both sensory and decision-related information is encoded by GC in the context of a taste mixture discrimination task, learning and improved performance are associated with a specific enhancement of decision-related responses.

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Experience-dependent plasticity of gustatory insular cortex circuits and taste preferences

Cited by 10 publications

References 86 publications

Taste Bud-Inspired Single-Drop Multitaste Sensing for Comprehensive Flavor Analysis with Deep Learning Algorithms

Taste Bud-Inspired Single-Drop Multitaste Sensing for Comprehensive Flavor Analysis with Deep Learning Algorithms

Me, Myself and My Insula: An Oasis in the Forefront of Self-Consciousness

Learning enhances representations of taste-guided decisions in the mouse gustatory insular cortex

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