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by claude@2026-07, 2026-07-04
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The study quantified dendritic morphology and measured electrical properties, local inputs, and/or projection patterns in 1,093 mouse insular cortex pyramidal neurons, mapping them onto a quantitative anatomical model of the insula using a Nissl-staining coordinate framework. Using improved algorithms, the authors defined 21 morphological, 12 electrical, and 9 input neuronal types, identifying insula-unique types and showing that morphological properties often predict inputs, electrical properties, or projection targets. They also found that certain neuronal types differentially distribute between anterior and posterior insula, providing a quantitative anatomical basis for subregional demarcation, and reported intra-insular inputs from far beyond canonical cortical columns. The paper is centrally about the neuronal architecture of the mouse insular cortex and does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.
Abstract
The insular cortex integrates interoceptive and exteroceptive information to mediate bodily homeostasis, emotion, learning, and potentially consciousness. 1–4 However, the cellular and circuit substrates governing the insula and other associative cortices are poorly understood compared to primary cortices. Here, we quantify the dendritic morphology together with electrical properties, local inputs, and/or projections of 1,093 insular pyramidal neurons. These neurons are mapped onto a quantitative anatomical model of the insula based on a Nissl-staining coordinate framework. Using improved algorithms, we define 21 morphological, 12 electrical, and 9 input neuronal types, and identify several morphological and input types that are unique to the insula. Further, we find that morphological properties constrain and often predict inputs, electrical properties, or projection targets. Several morphological types are differentially distributed between the functionally distinct anterior and posterior insula, providing the substrates for a quantitative demarcation between the anterior and posterior insular subregions. Surprisingly, certain neuronal types receive intra-insular inputs originating far beyond canonical cortical columns. Functionally, these connections bridge a long-range thalamus-to-amygdalar circuit that potentially links sensory information to valence. Our work establishes a structure-and-function foundation for investigating the insular cortex.
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Abstract
The insular cortex integrates interoceptive and exteroceptive information to mediate bodily homeostasis, emotion, learning, and potentially consciousness.1–4 However, the cellular and circuit substrates governing the insula and other associative cortices are poorly understood compared to primary cortices. Here, we quantify the dendritic morphology together with electrical properties, local inputs, and/or projections of 1,093 insular pyramidal neurons. These neurons are mapped onto a quantitative anatomical model of the insula based on a Nissl-staining coordinate framework. Using improved algorithms, we define 21 morphological, 12 electrical, and 9 input neuronal types, and identify several morphological and input types that are unique to the insula. Further, we find that morphological properties constrain and often predict inputs, electrical properties, or projection targets. Several morphological types are differentially distributed between the functionally distinct anterior and posterior insula, providing the substrates for a quantitative demarcation between the anterior and posterior insular subregions. Surprisingly, certain neuronal types receive intra-insular inputs originating far beyond canonical cortical columns. Functionally, these connections bridge a long-range thalamus-to-amygdalar circuit that potentially links sensory information to valence. Our work establishes a structure-and-function foundation for investigating the insular cortex.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Lead contact: Tianyi Mao, Ph.D., Vollum Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, L474, Portland, Oregon 97239, U.S.A., mao{at}ohsu.edu / (503) 494-9286
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