Non-invasive measures of multisensory cortical feedforward and feedback influences

多感觉皮质前馈和反馈影响的非侵入性测量

• 批准号: 10434671
• 负责人: SEPPO PENTTI AHLFORS
• 金额: $ 54.82万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10434671
• 关键词: Address; Anatomy; Aphasia; Area; Associative aphasia; Auditory; Auditory Perception; Auditory area; Base of the Brain; Brain; Cognition; Cues; Data; Dependence; Development; Diagnosis; Disease; Dyslexia; Electroencephalography; Electromagnetics; Electrophysiology (science); Epilepsy; Feedback; Frequencies; Functional Magnetic Resonance Imaging; Human; Implanted Electrodes; Investigation; Lateral; Literature; Measures; Methodology; Methods; Modeling; Monitor; Morphologic artifacts; Multimodal Imaging; Neurons; Patients; Pattern; Perception; Periodicity; Play; Primates; Process; Property; Research; Resolution; Role; Sampling; Sensory; Signal Transduction; Site; Source; Structure of superior temporal sulcus; Techniques; Testing; Visual; Visual Cortex; auditory processing; autism spectrum disorder; base; clinical investigation; density; follow-up; hemodynamics; imaging modality; information processing; medical implant; multimodal neuroimaging; multimodality; multisensory; neuroimaging; neurophysiology; nonhuman primate; novel; response; sensory cortex; sensory system; somatosensory; sound; tool

Non-invasive measures of multisensory cortical feedforward and feedback influences The objective of this research is to develop and apply advanced multimodal neuroimaging methods to examine how information flows between brain areas, by using crossmodal modulation of human auditory processing as a test case. A hierarchical organization of feedforward (FF) and feedback (FB) connections among primate sensory areas has been established based on anatomical and functional connectivity patterns across cortical layers. For example, information from other sensory systems could modulate sound processing in auditory cortices (AC) through direct FF inputs, lateral inputs from other sensory cortices, and/or FB effects from higher-level polymodal areas (e.g., superior temporal sulcus STS). However, the exact way each of these mechanisms contributes to perception and cognition is an important open question. A critical barrier for resolving this question has been the lack of non-invasive techniques to make detailed inferences on FF and FB influences in cortical information processing. Such techniques are also needed to achieve better tools for the diagnosis and follow-up of disorders involving abnormal FF and FB processes, including aphasia, dyslexia, or autism. Recent studies suggest that functional FF and FB influences could be indirectly inferred from the local direction of magneto- and electroencephalography (MEG, EEG) source current estimates, as well as from frequency-band specific directed functional connectivity measures. Furthermore, recent developments in ultra-high field functional magnetic resonance imaging (fMRI) make it possible sample small voxels (< 1 mm3) at different depths of cortex, potentially enabling inferences of FF and FB type laminar activation patterns. These approaches could provide critical pieces of information regarding the hierarchical role of an area among other cortical areas, something that is not available in conventional measures of cortical activation patterns. Based on these scientific premises, our Aim 1 is to combine measures of source current direction and effective connectivity derived from MEG/EEG (Subaim 1a) with intracortical depth (or “laminar”) analyses of 7T fMRI signals recorded simultaneously with high-density EEG data (Subaim 1b). We will compare the results with predictions based on studies of non-human primate models. Our Aim 2 is to develop novel methods for examining the neuronal mechanisms of crossmodal entrainment of AC activations in humans, including an extension of the source direction analysis to oscillatory activity. To achieve this, we will combine analyses of MEG/EEG source estimates (Subaim 2a) and analyses of simultaneously acquired laminar-resolution 7T fMRI and high-density EEG data (Subaim 2b). For both Aims, we will validate our non-invasive results by using direct brain recordings from patients with epilepsy who have intracranial electrodes implanted for medical reasons. These techniques resulting from this project will significantly augment our ability to characterize cortical processes using noninvasive neuroimaging.

多感觉皮质前馈和反馈影响的非侵入性测量 本研究的目的是开发和应用先进的多模式神经影像方法 通过使用人类听觉的跨模式调制来检查信息如何在大脑区域之间流动 作为测试用例处理。前馈 (FF) 和反馈 (FB) 连接的分层组织 灵长类动物的感觉区域是根据解剖学和功能连接模式建立的 皮质层。例如，来自其他感觉系统的信息可以调节声音处理 听觉皮层 (AC) 通过直接 FF 输入、其他感觉皮层的横向输入和/或 FB 效应 更高级别的多峰区域（例如颞上沟 STS）。然而，这些中的每一个的确切方式 机制有助于感知和认知是一个重要的悬而未决的问题。解决问题的关键障碍 这个问题是缺乏非侵入性技术来对 FF 和 FB 影响进行详细推断 在皮质信息处理中。还需要此类技术来获得更好的诊断和诊断工具 涉及异常 FF 和 FB 过程的疾病的随访，包括失语症、阅读障碍或自闭症。最近的 研究表明，功能 FF 和 FB 的影响可以从局部方向间接推断 磁磁图和脑电图（MEG、EEG）源电流估计以及频带 具体的定向功能连接措施。此外，超高场的最新进展 功能磁共振成像 (fMRI) 可以在不同深度对小体素 (< 1 mm3) 进行采样 皮层，可能能够推断 FF 和 FB 型层流激活模式。这些方法可以 提供有关某个区域在其他皮质区域中的等级角色的关键信息， 这是传统的皮质激活模式测量中无法获得的东西。基于这些科学 前提下，我们的目标 1 是将源电流方向和有效连接的测量结合起来 MEG/EEG (Subaim 1a) 对记录的 7T fMRI 信号进行皮质内深度（或“层流”）分析 与高密度脑电图数据同时进行（Subaim 1b）。我们将结果与基于的预测进行比较 非人类灵长类动物模型的研究。我们的目标 2 是开发检查神经元的新方法 人类 AC 激活的跨模式夹带机制，包括源的扩展 振荡活动的方向分析。为了实现这一目标，我们将结合 MEG/EEG 源估计的分析 (Subaim 2a) 以及同时采集的层流分辨率 7T fMRI 和高密度 EEG 数据的分析 （苏拜姆 2b）。对于这两个目标，我们将通过使用直接大脑记录来验证我们的非侵入性结果 因医疗原因植入颅内电极的癫痫患者。这些技巧 该项目的结果将显着增强我们使用以下方法来表征皮质过程的能力： 无创神经影像学。

项目成果

Boundary Element Fast Multipole Method for Enhanced Modeling of Neurophysiological Recordings.

• DOI: 10.1109/tbme.2020.2999271
• 发表时间: 2021-01
• 期刊: IEEE transactions on bio-medical engineering
• 作者: Makarov SN;Hamalainen M;Okada Y;Noetscher GM;Ahveninen J;Nummenmaa A
• 通讯作者: Nummenmaa A

Behavioral and Neurodynamic Effects of Word Learning on Phonotactic Repair.

• DOI: 10.3389/fpsyg.2021.590155
• 发表时间: 2021
• 期刊: Frontiers in psychology
• 影响因子: 3.8
• 作者: Gow DW;Schoenhaut A;Avcu E;Ahlfors SP
• 通讯作者: Ahlfors SP

A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models.

• DOI: 10.1109/tbme.2018.2813261
• 发表时间: 2018-12
• 期刊: IEEE transactions on bio-medical engineering
• 作者: Makarov SN;Noetscher GM;Raij T;Nummenmaa A
• 通讯作者: Nummenmaa A

Auditory cues facilitate object movement processing in human extrastriate visual cortex during simulated self-motion: A pilot study.

• DOI: 10.1016/j.brainres.2021.147489
• 发表时间: 2021-08-15
• 期刊: Brain research
• 影响因子: 2.9
• 作者: Vaina LM;Calabro FJ;Samal A;Rana KD;Mamashli F;Khan S;Hämäläinen M;Ahlfors SP;Ahveninen J
• 通讯作者: Ahveninen J

Weighted Blind Source Separation Can Decompose the Frequency Mismatch Response by Deviant Concatenation: An MEG Study.

• DOI: 10.3389/fneur.2022.762497
• 发表时间: 2022
• 期刊: Frontiers in neurology
• 影响因子: 3.4
• 作者: Matsubara T;Stufflebeam S;Khan S;Ahveninen J;Hämäläinen M;Goto Y;Maekawa T;Tobimatsu S;Kishida K
• 通讯作者: Kishida K