1,721,005 research outputs found
What do brain network interactions tell about cognitive processes? How to seek causality?
No full textOptimal adjustment of brain networks allows the biased processing of information in response to the demand of environments and is therefore prerequisite for adaptive behaviour. It is widely shown that a biased state of networks is associated with a particular cognitive process. However, those associations were identified by backward categorization of trials and cannot provide a causal association with cognitive processes. This problem still remains a big obstacle to advance the state of our field in particular human cognitive neuroscience. In my talk, I will present two approaches to address the causal relationships between brain network interactions and behaviour. Firstly, we combined connectivity analysis of fMRI data and a machine leaning method to predict inter-individual differences of behaviour and responsiveness to environmental demands. The connectivity-based classification approach outperforms local activation-based classification analysis, suggesting that interactions in brain networks carry information of instantaneous cognitive processes. Secondly, we have recently established a brand new method combining transcranial alternating current stimulation (tACS), transcranial magnetic stimulation (TMS), and EEG. We use the method to measure signal transmission between brain areas while introducing extrinsic oscillatory brain activity and to study causal association between oscillatory activity and behaviour. We show that phase-matched oscillatory activity creates the phase-dependent modulation of signal transmission between brain areas, while phase-shifted oscillatory activity blunts the phase-dependent modulation. The results suggest that phase coherence between brain areas plays a cardinal role in signal transmission in the brain networks. In sum, I argue that causal approaches will provide more concreate backbones to cognitive neuroscience
Studying functional brain networks with concurrent transcranical alternating current stimulation and EEG
No full textRecently transcranial electric stimulation (tES) has been widely used as a mean to modulate brain activity. The modulatory effects of tES have been studied with the excitability of primary motor cortex. However, tES effects are not limited to the site of stimulation but extended to other brain areas, suggesting a need for the study of functional brain networks. Transcranial alternating current stimulation (tACS) applies sinusoidal current at a specified frequency, presumably modulating brain activity in a frequency-specific manner. At a behavioural level, tACS has been confirmed to modulate behaviour, but its neurophysiological effects are still elusive. In addition, neural oscillations are considered to reflect rhythmic changes in transmission efficacy across brain networks, suggesting that tACS would provide a mean to modulate brain networks. To study neurophysiological effects of tACS, we have been developing a methodological framework by combining transcranial magnetic stimulation (TMS), EEG and tACS. We have developed the optimized concurrent tACS-EEG recording protocol and powerful artefact removal method that allow us to study neurophysiological effects of tACS. We also established the concurrent tACS-TMS-EEG recording to study brain network connectivity while introducing extrinsic oscillatory activity by tACS. We show that tACS modulate brain activity in a phase-dependent manner. Our methodological advancement will open an opportunity to study causal role of oscillatory brain activity in neural transmissions in cortical brain networks
Phase dependency of long-range neuronal transmission in entrained neuronal networks: a combined tACS-TMS-EEG study
No full textA method for removing transcranial alternating current stimulation (tACS) artifacts from EEG data
No full textPrefrontal Anatomical Architecture and Top-Down Behavioral Control in Human and Nonhuman Primates
No full textPrimates, including humans, have great cognitive capability, can adapt to their environments, and have a brain is characterized by a large volume of prefrontal cortex. In this chapter, I provide an overview on how the primate prefrontal cortex differs from that of other species, and I discuss the structural similarities and differences of the prefrontal cortex among primate species. In particular, I discuss how the human prefrontal cortex has unique characteristics among primate species. I also provide an overview of the neural mechanisms of top-down control of visual attention and discuss how cognitive research in human and non-human primates is integrated to understand brain mechanisms. In summary, I will argue that comparative and integrative approaches aid the understanding of the biological basis of human cognition
The role of brain oscillations in flexible attentional control
No full textOur capacity to quickly adapt to changing cognitive demands fundamentally relies on the ability of our brain to quickly establish the appropriate communication among brain areas that are relevant for the task at hand. This ability to flexibly reconfigure communication in the brain underlies for instance our capacity to swiftly reorient our attention according to our goals, or to flexibly filter relevant information from ever changing distractors. Oscillatory brain activities have been considered to enable this type of flexible effective communication structure on top of the anatomical communication structure (Fries, 2005). However, amidst accumulating correlational observations supporting the connection between oscillatory neural activity and neuronal communication, there is currently still a lack of direct experimental demonstration that oscillatory activity causally modulates neural transmission. Transcranial alternating current stimulation (tACS) has held great promises in elucidating the causal role of neural oscillations in neuronal communication and in behaviour, in a non-invasive manner. However, we still know little about the actual modulatory mechanism of tACS.
The goal of the present thesis was to develop a new method to measure the immediate effect of tACS on local excitability and signalling efficacy across cortical networks, with the purpose of addressing how oscillatory brain activity subserves flexible attentional control by modulating neuronal communication. To this end, the thesis comprises of the following three publications.
In the first publication, we establish our experimental protocol and technical advices for simultaneous electroencephalography (EEG) recording during tACS. Concurrent EEG-tACS can offer a means to address the immediate neurophysiological effect of tACS, however the approach comes with several challenges. We show how, when improperly carried out, the artifacts introduced by tACS into the EEG data renders the data unrecoverable through any artifact removal approach.
In the second publication, we establish a new method using concurrent tACS, transcranial magnetic stimulation (TMS) and EEG to address the causal role of neural oscillations in modulating transmission efficacy in cortical networks. The rationale of the concurrent tACSTMS-EEG method is that while introducing oscillatory activity with tACS, we can measure neural transmission as TMS-induced neural activity with EEG. Through tACS, we introduced theta oscillatory activity in the dorsolateral prefrontal cortex (DLPFC). For assessing resultant changes in the efficacy of neural transmission, we simultaneously apply subthreshold singlepulse TMS over the DLPFC at four different phases of tACS (90°, 180°, 270°, 360°) and measure the spread of TMS-evoked EEG potentials (TEPs). The amount of current spread is modulated by the functional status of the neural network, thereby providing a measure of changes in signalling efficacy. We demonstrate that we can successfully remove tACS artifacts from TMS-EEG data, and find that the amplitude of TEPs depends on the phase of the introduced 6 Hz activity during tACS.
In the third publication, we address the causal role of inter-regional oscillatory phaserelations in modulating cortico-cortical signalling efficacy. For this purpose, we again employ our concurrent tACS-TMS-EEG method. Through tACS we introduce theta oscillatory activity in the DLPFC and the posterior parietal cortex (PPC); two nodes of the frontoparietal network. We apply 6 Hz tACS to the DLPFC and PPC simultaneously in an in-phase or anti-phase manner. We demonstrate that the tACS-induced theta oscillations modulate TEPs in a phase-dependent manner during in-phase and anti-phase tACS, and that the induced phase-relation across the human frontoparietal network affects the propagation of signal through as well as beyond the frontoparietal network, from the PPC to area V5. Our results therefore suggest that inter-nodal phase-relations of oscillatory neural activity impact neural transmission beyond the synchronizing network nodes. Our results lend support for the causal role of phase-synchronized endogenous oscillatory activity in modulating inter-regional neuronal communication.
To sum up, the studies conducted as part of this thesis focus on addressing the causal role of neuronal oscillations in modulation brain network communication. The methodological groundwork carried out as part of this thesis will enable us to proceed to address how informational routing through dynamically established oscillatory coherence serves to enable flexible attentional control. The concurrent tACS-TMS-EEG also hold great promise in shedding new light on sources of variability in efficacy of tACS and could help pave the way for new clinical treatment avenues for disorders of attentional control
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