In modern society,people are increasingly exposed to chronic stress,leading to various mental disorders.However,the activities of brain regions,especially neural firing patterns related to specific behaviors,remain un...In modern society,people are increasingly exposed to chronic stress,leading to various mental disorders.However,the activities of brain regions,especially neural firing patterns related to specific behaviors,remain unclear.In this study,we introduce a novel approach,NeuroSync,which integrates open-field behavioral testing with electrophysiological recordings from emotion-related brain regions,specifically the central amygdala and the paraventricular nucleus of the hypothalamus,to explore the mechanisms of negative emotions induced by chronic stress in mice.By applying machine vision techniques,we quantified behaviors in the open field,and signal processing algorithms elucidated the neural underpinnings of the observed behaviors.Synchronizing behavioral and electrophysiological data revealed significant correlations between neural firing patterns and stress-related behaviors,providing insights into real-time brain activity underlying behavioral responses.This research combines deep learning and machine learning to synchronize high-resolution video and electrophysiological data,offering new insights into neural-behavioral dynamics under chronic stress conditions.展开更多
Transgenic mice carrying mutations that cause Autism Spectrum Disorders（ASDs） continue to be valuable for determining the molecular underpinnings of the disorders. Recently, researchers have taken advantage of such ...Transgenic mice carrying mutations that cause Autism Spectrum Disorders（ASDs） continue to be valuable for determining the molecular underpinnings of the disorders. Recently, researchers have taken advantage of such models combined with Cre-lox P and similar systems to manipulate gene expression over space and time. Thus, a clearer picture is starting to emerge of the cell types, circuits, brain regions, and developmental time periods underlying ASDs. ASD-causing mutations have been restricted to or rescued speci？cally in excitatory or inhibitory neurons, different neurotransmitter systems, and cells speci？c to the forebrain or cerebellum. In addition,mutations have been induced or corrected in adult mice,providing some evidence for the plasticity and reversibility of core ASD symptoms. The limited availability of Cre lines that are highly speci？c to certain cell types or time periods provides a challenge to determining the cellular and circuitry bases of autism, but other technological advances may eventually overcome this obstacle.展开更多
基金supported by the National Natural Science Foundation of China(91957112 and 31970950)the Research Funds of the Center for Advanced Interdisciplinary Science and Biomedicine at IHM(QYZD20220001)the Postdoctoral Fellowship Program of CPSF(GZC20241649).
文摘In modern society,people are increasingly exposed to chronic stress,leading to various mental disorders.However,the activities of brain regions,especially neural firing patterns related to specific behaviors,remain unclear.In this study,we introduce a novel approach,NeuroSync,which integrates open-field behavioral testing with electrophysiological recordings from emotion-related brain regions,specifically the central amygdala and the paraventricular nucleus of the hypothalamus,to explore the mechanisms of negative emotions induced by chronic stress in mice.By applying machine vision techniques,we quantified behaviors in the open field,and signal processing algorithms elucidated the neural underpinnings of the observed behaviors.Synchronizing behavioral and electrophysiological data revealed significant correlations between neural firing patterns and stress-related behaviors,providing insights into real-time brain activity underlying behavioral responses.This research combines deep learning and machine learning to synchronize high-resolution video and electrophysiological data,offering new insights into neural-behavioral dynamics under chronic stress conditions.
基金supported by a Weatherstone Predoctoral Fellowship from Autism Speakssupported by NIH Grants 5R01MH098114-03,1R21-HD077197-01,and 1R21-MH104316-01
文摘Transgenic mice carrying mutations that cause Autism Spectrum Disorders（ASDs） continue to be valuable for determining the molecular underpinnings of the disorders. Recently, researchers have taken advantage of such models combined with Cre-lox P and similar systems to manipulate gene expression over space and time. Thus, a clearer picture is starting to emerge of the cell types, circuits, brain regions, and developmental time periods underlying ASDs. ASD-causing mutations have been restricted to or rescued speci？cally in excitatory or inhibitory neurons, different neurotransmitter systems, and cells speci？c to the forebrain or cerebellum. In addition,mutations have been induced or corrected in adult mice,providing some evidence for the plasticity and reversibility of core ASD symptoms. The limited availability of Cre lines that are highly speci？c to certain cell types or time periods provides a challenge to determining the cellular and circuitry bases of autism, but other technological advances may eventually overcome this obstacle.
