CRCNS: Optimization of closed-loop control of gamma oscillations

CRCNS：伽马振荡闭环控制的优化

• 批准号: 10636642
• 负责人: Satish S Nair
• 金额: $ 28.4万
• 依托单位: UNIVERSITY OF MISSOURI-COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-26 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10636642
• 关键词: Accounting; Address; Affect; Algorithms; Amygdaloid structure; Anatomy; Behavior; Behavioral; Biophysics; Brain; Brain region; Cell Nucleus; Cells; Collaborations; Communication; Detection; Emotional; Frequencies; Genetic; Goals; Implant; Individual; Individual Differences; Instruction; Interneurons; Intervention; Machine Learning; Mental Health; Methods; Modeling; Monitor; Neurons; Performance; Phase; Physiological; Property; Response to stimulus physiology; Rodent Model; Route; Scheme; Stimulus; Structure; System; Techniques; Testing; Time; Twin Multiple Birth; biophysical model; cognitive function; design; emotion regulation; emotional behavior; experience; experimental study; genetic approach; improved; in vivo; individual variation; insight; neurophysiology; novel; optogenetics; pharmacologic; predictive modeling; response; signal processing; social; vigilance

Throughout the brain, specialized systems carry out different but complementary functions, sometimes independently but often in cooperation. However, we do not understand how their activity is dynamically coordinated, and dysregulation of this is associated with many mental health conditions. Neuronal oscillations, which are detectable in local field potentials (LFPs) at various frequencies, are a promising target for this coordination. Gamma oscillations (40-100 Hz) in particular have been singled out since they enhance stimulus responses, facilitate interactions between brain regions, and are expressed ubiquitously across cortical and subcortical regions. Indeed, gamma oscillations occur in the basolateral nucleus of the amygdala (BL), an important regulator of emotional behaviors. BL gamma oscillations are enhanced during periods of heightened vigilance during a foraging task, following emotionally salient experiences, and upon presentation of socially-relevant stimuli. The variety of circumstances that engage it make it a promising target for interventions affecting emotional behaviors in general. However, technical challenges abound because gamma manifests as brief intermittent oscillatory bursts, layered atop numerous ongoing activities in other frequency bands. This precludes manipulating gamma exclusively with traditional pharmacological, optogenetic, or chemogenetic approaches, since these have substantial effects on ongoing non-gamma activities, and are delivered irrespective of whether gamma bursts are present or absent. To overcome this, a closed-loop algorithm was developed that monitors the LFP in real-time for gamma oscillations and delivers precisely timed optogenetic stimulation capable of enhancing or suppressing gamma strength on a cycle-by-cycle basis. While this improves upon the status quo,, further refinement is needed. Aim 1 of this proposal seeks to clarify how the gamma modulation technique operates via biophysically detailed modeling of the local circuits in the BL that generate gamma, the effects of optogenetic stimulation, and the closed-loop algorithm. Aim 2 designs better signal processing routines for detecting and parameterizing gamma in real-time. Aim 3 develops an approach to create customized biophysical models that reproduce the properties of gamma observed in individual subjects, which when combined with the results of Aims 1 and 2 should allow for optimized control over gamma oscillations in individual subjects. RELEVANCE (See instructions): Gamma oscillations occur in the basolateral amygdala, a brain region implicated in emotional regulation. By developing improved methods to manipulate these oscillations, we hope to better understand their function and improve our ability to control emotional states and behaviors.

在整个大脑中，专门的系统有时执行不同但互补的功能

项目成果

Reverse engineering information processing in lateral amygdala during auditory tones.

听觉音调期间外侧杏仁核的逆向工程信息处理。

• DOI: 10.1109/ner52421.2023.10123856
• 发表时间: 2023
• 期刊: International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering
• 作者: Glickert,Greg;Latimer,Ben;Sah,Pankaj;Nair,SatishS
• 通讯作者: Nair,SatishS

Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records.

在美国的阿片类药物处方峰之前和之后预测阿片类药物使用障碍：使用电子医疗记录的机器学习工具。

• DOI: 10.1177/14604582231168826
• 发表时间: 2023-04
• 期刊: Health informatics journal
• 影响因子: 3

Inferring Pyramidal Neuron Morphology using EAP Data.

• DOI: 10.1109/ner52421.2023.10123903
• 发表时间: 2023-04
• 期刊: International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering
• 作者: Chen, Ziao;Carroll, Matthew;Nair, Satish S.
• 通讯作者: Nair, Satish S.

Classification of Brainwaves Using Convolutional Neural Network.

使用卷积神经网络对脑电波进行分类。

• DOI: 10.23919/eusipco.2019.8902952
• 发表时间: 2019
• 期刊: Proceedings of the ... European Signal Processing Conference (EUSIPCO). EUSIPCO (Conference)
• 作者: Joshi,SwapnilR;Headley,DrewB;Ho,KC;Paré,Denis;Nair,SatishS
• 通讯作者: Nair,SatishS

Domain-Specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities

• DOI: 10.1109/tkde.2021.3093350
• 发表时间: 2023-02
• 期刊: IEEE Transactions on Knowledge and Data Engineering
• 影响因子: 8.9
• 作者: Yuanxun Zhang;P. Calyam;T. Joshi;Satish Nair;Dong Xu