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：随着时间的流逝，持续思想的模式和“思维风格”之类的经验有所不同 证明认知通常与正在进行的任务相结合。一个传统的假设是任务范围的状态 认知反映了认知错误。新兴的替代视图是，在“脱离任务”和on-之间切换 任务状态是人类认知的基本特征，支持长期目标和心理健康。 在过去几十年中 神经/自主信号和行为的相关波动相关，并且这些波动与缓慢的关系密切相关 大规模大脑网络激活中的准碘转移。这个孔戴中心探索了非 - 在测试总体假设时，任务认知与神经活动相关的缓慢波动 延伸到1 Hz以下，至少降至0.01 Hz（秒的时间尺度至10秒）至关重要 情感，认知和行为的决定因素。我们提出一组链接的假设（概述，b.2.a.），两个 其中与缓慢的神经裂变的特征有关，可能代表了脑操作的组织原理。 首先，局部缓慢的神经波动链接到较大规模的慢速大脑网络波动（SBNF） 显着影响认知过程，例如注意力，反应时间和自主神经的行为指数 心脏变异性和学生直径等措施。其次，神经元有因果分层耦合 跨频率从源性延伸到动作电位频率范围的活动；即， 较低的频率控制较高频率的活性放大器。这种“相位振幅耦合”（PAC） 提供了在神经元分布式集合中的兴奋状态网络编排的可能机制， 根据定义，跨时间尺度集成。一方面，SBNF可能是大脑可以使用的工具 根据瞬间需求或任务需求，部署和转移/重新部署PAC和其他资源。在 另一方面，当内源触发的SBNF可能会为大脑提供避免夹带的手段 根据即时任务或上下文的要求。尽管我们越来越细微 了解单个大脑网络状态及其过渡，确切的认知/行为功能 SBNF的基本物理机制在很大程度上仍然是开放的问题。我们解决这两个 通过研究组合的整合计划的广泛问题：1）fMRI/eeg和颅内（i）脑电图 人类，具有非人类素数（NHP）的fMRI/EEG和现场潜在/单位记录，并且具有自主神经。 在所有情况下，2）局部细胞电路和网络生物物理建模，3）实验条件 从结构化任务到完全无脚本的会议和4）旨在识别因果的方法 网络动力学中的元素。该中心的发现将有助于综合机理 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.

Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging

• DOI: 10.1016/j.neuron.2021.10.015
• 发表时间: 2021-11
• 期刊: Neuron
• 影响因子: 16.2
• 作者: M. Milham;C. Petkov;P. Belin;S. Hamed;H. Evrard;Damien Fair;A. Fox;Sean Froudist-Walsh;Takuya Hayashi;S. Kastner;Chris Klink;P. Majka;R. Mars;Adam Messinger;C. Poirier;Charles E. Schroeder;A. Shmuel;Afonso C. Silva;W. Vanduffel;D. C. Essen;Z. Wang;A. Roe;M. Wilke;Ting Xu;M. Aarabi;R. Adolphs;A. Ahuja;A. Alvand;C. Amiez;J. Autio;R. Azadi;E. Baeg;Ruiliang Bai;Pinglei Bao;M. Basso;Austin K. Behel;Yvonne Bennett;B. Bernhardt;B. Biswal;S. Boopathy;S. Boretius;Elena Borra;Rober Boshra;E. Buffalo;Longzhi Cao;James Cavanaugh;Amiez Celine;Gianfranco Chavez;Li Chen;Xiaodong Chen;Luqi Cheng;F. Chouinard-Decorte;S. Clavagnier;Justine C. Cléry;S. Colcombe;Bevil R. Conway;Mélina Cordeau;O. Coulon;Yue Cui;Rakshit Dadarwal;R. Dahnke;Theresa M. Desrochers;L. Deying;K. Dougherty;Hannah Doyle;Carly M. Drzewiecki;Marianne Duyck;Wasana Ediri Arachchi;Catherine Elorette;Abdelhadi Essamlali;Alan Evans;Alfonso Fajardo;H. Figueroa;Alexandre R. Franco;G. Freches;Steve Frey;Patrick Friedrich;A. Fujimoto;M. Fukunaga;Maëva Gacoin;Guillermo Gallardo;Lixia Gao;Yang Gao;Daniel Garside;E. Garza-Villarreal;Maxime Gaudet-Trafit;M. Gerbella;Steven Giavasis;D. Glen;Ana Rita Ribeiro Gomes;Sandra Gonzalez Torrecilla;A. Gozzi;Roberto A. Gulli;S. Haber;F. Hadj-Bouziane;S. H. Fujimoto;M. Hawrylycz;Quansheng He;Yerong He;K. Heuer;B. Hiba;F. Hoffstaedter;Seokjun Hong;Y. Hori;Yujie Hou;A. Howard;M. Iglesia-Vayá;T. Ikeda;Lucija Jankovic-Rapan;Jorge Jaramillo;H. Jedema;Hecheng Jin;Minqing Jiang;Benjamin Jung;Igor Kagan;Itamar Kahn;Greg Kiar;Yukihiro Kikuchi;B. Kilavik;N. Kimura;Ulysse Klatzmann;S. C. Kwok;H. Lai;F. Lamberton;Julia F. Lehman;Pengcheng Li;Xinhui Li;Xinjian Li;Zhi-Pei Liang;C. Liston;R. Little;Cirong Liu;Ning Liu;Xiaojin Liu;Xinyu Liu;Haidong D. Lu;K. Loh;C. Madan;L. Magrou;D. Margulies;Froesel Mathilda;Sheyla Mejia;Yao Meng;Ravi Menon;David Meunier;A. Mitchell;Anna Mitchell;Aidan Murphy;Towela Mvula;M. Ortiz-Rios;Diego Emanuel Ortuzar Martinez;Marco Pagani;N. Palomero-Gallagher;Vikas Pareek;Pierce Perkins;Fernanda Ponce;Mark Postans;P. Pouget;Meizhen Qian;Julian B. Ramirez;Erika P. Raven;Isabel Restrepo;Samy Rima;K. Rockland;Nadira Yusif Rodriguez;É. Roger;Eduardo Rojas Hortelano;Marcello Rosa;A. Rossi;P. Rudebeck;Brian Russ;Tomoko Sakai;K. Saleem;J. Sallet;S. Sawiak;D. Schaeffer;Caspar M. Schwiedrzik;Jakob Seidlitz;J. Sein;J. Sharma;K. Shen;Wei-an Sheng;N. Shi;W. Shim;L. Simone;Nikoloz Sirmpilatze;V. Sivan;X. Song;A. Tanenbaum;Jordy Tasserie;Paul Taylor;Xia Tian;Roberto Toro;Lucas R. Trambaiolli;Nick Upright;J. Vezoli;Sam Vickery;Julio Villalón;Xiaojie Wang;Yufan Wang;A. Weiss;Charlie Wilson;T. Wong;Choong-Wan Woo;Bichang Wu;Du Xiao;Augix Guohua Xu;Dongrong Xu;Zhou Xufeng;E. Yacoub;Ningrong Ye;Zhang Ying;C. Yokoyama;Xiongjie Yu;Shasha Yue;Luo Yuheng;Xin Yumeng;D. Zaldivar;Shaomin Zhang;Yuguang Zhao;Zhang Zuo