Neurobiology and Cognitive Role of Slow Brain Network Fluctuations

神经生物学和慢脑网络波动的认知作用

• 批准号: 10639542
• 负责人: Michael Peter Milham
• 金额: $ 342.72万
• 依托单位: NATHAN S. KLINE INSTITUTE FOR PSYCH RES
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10639542
• 关键词: Action Potentials; Address; Adult; Affect; Animals; Area; Attention; Behavior; Behavioral; Brain; Cardiac; Cells; Cognition; Cognitive; Cognitive deficits; Computer Models; Costs and Benefits; Coupling; Data; Diameter; Electrodes; Electroencephalography; Elements; Epilepsy; Frequencies; Genetic; Goals; Human; Hybrids; Individual; Link; Location; Measurement; Measures; Mental Health; Mind; Modality; Modeling; Neurobiology; Neurons; Operative Surgical Procedures; Patients; Pattern; Performance; Periodicals; Persons; Pharmacology; Phase; Physiological; Physiological Processes; Population; Property; Public Health; Pupil; Reaction Time; Research; Resources; Role; Sampling; Signal Transduction; Specific qualifier value; Standardization; Stream; Structure; Testing; Time; Update; biophysical model; cell type; cognitive process; computational network modeling; data format; data sharing; electrical microstimulation; experience; functional magnetic resonance imaging/electroencephalography; heart rate variability; human data; imaging study; improved; indexing; interest; neural; neuropsychiatric disorder; neuroregulation; nonhuman primate; object recognition; open data; operation; programs; scaffold; tool

CENTER ABSTRACT: Patterns of ongoing thought vary over time, and experiences like “mind-wandering” show that cognition is often decoupled from an ongoing task. A traditional assumption is that states of off-task cognition reflects a cognitive error. An emerging alternative view is that switching between “off-task” and on- task states is a fundamental feature of human cognition, facilitating long term goals and mental health. Experimental findings over the past several decades show that off-task cognition is accompanied by slow, correlated fluctuations in neural/autonomic signals and behavior, and that these are strongly linked to slow quasiperiodic shifts in large scale brain network activations. This Conte Center explores the cost/benefits of off- task cognition while testing the overarching hypothesis that related slow fluctuations of neural activity extending below 1 Hz, down to at least 0.01 Hz (timescales of seconds to 10’s of seconds) are critical determinants of affect, cognition and behavior. We pose a set of linking hypotheses (Overview, b.2.a.), two of which relate to features of slow neural fluctuations may represent organizing principles for brain operation. First, local slow neural fluctuations link to larger scale slow brain network fluctuations (SBNFs) that significantly impact cognitive processes like attention, behavioral indices like reaction times and autonomic measures like cardiac variability and pupil diameter. Second, there is causal hierarchical coupling of neural activity across frequencies extending from infraslow up to action potential frequency ranges; i.e., the phase of lower frequency controls the amplitude of activity in higher frequencies. This “phase-amplitude coupling” (PAC) provides a likely mechanism for network orchestration of excitability states in distributed ensembles of neurons, that by definition, integrates across time scales. On one hand, the SBNF may be a tool the brain can use to deploy and shift/re-deploy PAC and other resources according to momentary needs or task demands. On the other hand, when endogenously-triggered SBNFs may provide the brain with a means of avoiding entrapment of its resources by the demands of an immediate task or context. Despite our increasingly nuanced understanding of individual brain network states and their transitions, the precise cognitive/behavioral functions and the underlying physiological mechanisms of SBNFs remain largely open questions. We address these two broad questions with an integrative program of research combining: 1) fMRI/EEG and intracranial (i)EEG in humans, with fMRI/EEG and field potential/unit recordings in nonhuman primates (NHPs), and with autonomic measures in all cases, 2) local cell circuit and network biophysical modeling, 3) experimental conditions ranging from structured tasks to completely unscripted sessions and 4) approaches aimed at identifying causal elements in network dynamics. The Center’s discoveries will contribute to the integrated mechanistic understanding of the brain and to improved treatment of neuropsychiatric disorders.

中心摘要：持续思考的模式随着时间的推移而变化，以及“走神”等经历 表明认知通常与正在进行的任务脱钩。传统的假设是脱离任务的状态。 认知反映了一种认知错误，即在“非任务”和“任务”之间进行切换。 任务状态是人类认知的一个基本特征，有助于实现长期目标和心理健康。 过去几十年的实验结果表明，脱任务认知伴随着缓慢的、 神经/自主信号和行为的相关波动，并且这些与缓慢 该康特中心探讨了大规模大脑网络激活的准周期变化。 任务认知，同时测试与神经活动缓慢波动相关的总体假设 延伸到 1 Hz 以下，至少低至 0.01 Hz（秒到 10 秒的时间尺度）至关重要 我们提出了一组关联假设（概述，b.2.a.），两个。 其中与缓慢神经波动的特征有关的特征可能代表大脑运作的组织原则。 首先，局部慢神经波动与更大规模的慢脑网络波动（SBNF）相关， 显着影响注意力等认知过程、反应时间和自主神经等行为指标 其次，神经元之间存在因果层次耦合。 从次慢到动作电位频率范围的频率活动，即阶段； 较低的频率控制较高频率的活动幅度。这种“相位幅度耦合”（PAC）。 为分布式神经元集合中的​​兴奋性状态的网络编排提供了一种可能的机制， 一方面，SBNF 可能是大脑可以用来整合的工具。 根据临时需要或任务要求部署和转移/重新部署 PAC 和其他资源。 另一方面，当内源性触发的 SBNF 可以为大脑提供避免陷入困境的方法时 尽管我们的要求越来越细致， 了解个体大脑网络状态及其转变、精确的认知/行为功能 SBNF 的潜在生理机制在很大程度上仍然是一个悬而未决的问题，我们将解决这两个问题。 通过综合研究计划解决广泛的问题：1) fMRI/EEG 和颅内 (i)EEG 人类，具有非人类灵长类动物 (NHP) 的功能磁共振成像/脑电图和场电位/单位记录，以及自主神经 所有情况下的测量，2) 局部细胞电路和网络生物物理建模，3) 实验条件 范围从结构化任务到完全无脚本的会议，以及 4) 旨在识别因果关系的方法 该中心的发现将有助于整合机制。 了解大脑并改善神经精神疾病的治疗。

项目成果

Hexadirectional Modulation of High-Frequency Electrophysiological Activity in the Human Anterior Medial Temporal Lobe Maps Visual Space

• DOI: 10.1016/j.cub.2018.09.035
• 发表时间: 2018-10
• 期刊: Current Biology
• 影响因子: 9.2
• 作者: T. Staudigl;M. Leszczyński;J. Jacobs;S. Sheth;C. Schroeder;O. Jensen;Christian F. Doeller

Automatic Sensory Predictions: A Review of Predictive Mechanisms in the Brain and Their Link to Conscious Processing.

• DOI: 10.3389/fnhum.2021.702520
• 发表时间: 2021
• 期刊: Frontiers in human neuroscience
• 影响因子: 2.9
• 作者: Tivadar RI;Knight RT;Tzovara A
• 通讯作者: Tzovara A

Spatial Attention and Temporal Expectation Exert Differential Effects on Visual and Auditory Discrimination.

• DOI: 10.1162/jocn_a_01567
• 发表时间: 2020-08
• 期刊: Journal of cognitive neuroscience
• 影响因子: 3.2
• 作者: Wilsch A;Mercier MR;Obleser J;Schroeder CE;Haegens S
• 通讯作者: Haegens S

Omnipresence of the sensorimotor-association axis topography in the human connectome.

• DOI: 10.1016/j.neuroimage.2023.120059
• 发表时间: 2023-05-15
• 期刊: NEUROIMAGE
• 影响因子: 5.7
• 作者: Nenning, Karl-Heinz;Xu, Ting;Franco, Alexandre R.;Swallow, Khena M.;Tambini, Arielle;Margulies, Daniel S.;Smallwood, Jonathan;Colcombe, Stanley J.;Milham, Michael P.
• 通讯作者: Milham, Michael P.

Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods.

颅内电极的解剖配准。

• DOI: 10.1101/2023.05.08.539503
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Blenkmann,AlejandroOmar;Leske,SabineLiliana;Llorens,Anaïs;Lin,JackJ;Chang,Edward;Brunner,Peter;Schalk,Gerwin;Ivanovic,Jugoslav;Larsson,PålGunnar;Knight,RobertThomas;Endestad,Tor;Solbakk,Anne-Kristin
• 通讯作者: Solbakk,Anne-Kristin