3,036 research outputs found

    High-frequency neural oscillations and visual processing deficits in schizophrenia

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    Visual information is fundamental to how we understand our environment, make predictions, and interact with others. Recent research has underscored the importance of visuo-perceptual dysfunctions for cognitive deficits and pathophysiological processes in schizophrenia. In the current paper, we review evidence for the relevance of high frequency (beta/gamma) oscillations towards visuo-perceptual dysfunctions in schizophrenia. In the first part of the paper, we examine the relationship between beta/gamma band oscillations and visual processing during normal brain functioning. We then summarize EEG/MEG-studies which demonstrate reduced amplitude and synchrony of high-frequency activity during visual stimulation in schizophrenia. In the final part of the paper, we identify neurobiological correlates as well as offer perspectives for future research to stimulate further inquiry into the role of high-frequency oscillations in visual processing impairments in the disorder

    The Dynamic Brain in Action: Cortical Oscillations and Coordination Dynamics

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    Cortical oscillations are electrical activities with rhythmic and/or repetitive nature generated spontaneously and in response to stimuli. Study of cortical oscillations has become an area of converging interests since the last two decades and has deepened our understanding of its physiological basis across different behavioral states. Experimental and modeling work has taught us that there is a wide diversity of cellular and circuit mechanisms underlying the generation of cortical rhythms. A wildly diverse set of functions has pertained to synchronous oscillations but their significance in cognition should be better appraised in the more general framework of correlation between spike times of neurons. Oscillations are the core mechanism in adjusting neuronal interactions and shaping temporal coordination of neural activity. In the first part of this thesis, we review essential feature of cortical oscillations in membrane potentials and local field potentials recorded from turtle ex vivo preparation. Then we develop a simple computational model that reproduces the observed features. This modeling investigation suggests a plausible underlying mechanism for rhythmogenesis through cellular and circuit properties. The second part of the thesis is about temporal coordination dynamics quantified by signal and noise correlations. Here, again, we present a computational model to show how temporal coordination and synchronous oscillations can be sewn together. More importantly, what biophysical ingrediants are necessary for a network to reproduce the observed coordination dynamics

    Local field potential activity dynamics in response to deep brain stimulation of the subthalamic nucleus in Parkinson's disease.

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    Local field potentials (LFPs) may afford insight into the mechanisms of action of deep brain stimulation (DBS) and potential feedback signals for adaptive DBS. In Parkinson's disease (PD) DBS of the subthalamic nucleus (STN) suppresses spontaneous activity in the beta band and drives evoked resonant neural activity (ERNA). Here, we investigate how STN LFP activities change over time following the onset and offset of DBS. To this end we recorded LFPs from the STN in 14 PD patients during long (mean: 181.2โ€ฏs) and short (14.2โ€ฏs) blocks of continuous stimulation at 130โ€ฏHz. LFP activities were evaluated in the temporal and spectral domains. During long stimulation blocks, the frequency and amplitude of the ERNA decreased before reaching a steady state after ~70โ€ฏs. Maximal ERNA amplitudes diminished over repeated stimulation blocks. Upon DBS cessation, the ERNA was revealed as an under-damped oscillation, and was more marked and lasted longer after short duration stimulation blocks. In contrast, activity in the beta band suppressed within 0.5โ€ฏs of continuous DBS onset and drifted less over time. Spontaneous activity was also suppressed in the low gamma band, suggesting that the effects of high frequency stimulation on spontaneous oscillations may not be selective for pathological beta activity. High frequency oscillations were present in only six STN recordings before stimulation onset and their frequency was depressed by stimulation. The different dynamics of the ERNA and beta activity with stimulation imply different DBS mechanisms and may impact how these activities may be used in adaptive feedback

    ์ฒญ ๊ฐ๊ฐ์ œ์–ด๋ฅผ ์œ„ํ•œ parvalbumin ์ธํ„ฐ๋‰ด๋ก ์˜ ํฅ๋ถ„์„ฑ ์‹œ๋ƒ…์Šค ์กฐ์ ˆ๊ธฐ์ „์„ ๋งค๊ฐœํ•˜๋Š” PV ์˜์กด์  adenylate cyclase 5 ์‹ ํ˜ธ์ „๋‹ฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋‡Œ์ธ์ง€๊ณผํ•™๊ณผ, 2021.8. ๊น€์ƒ์ •.Parvalbumin-expressing (Pv) interneuron dysfunction has been increasingly implicated in cognitive deficits and disruption of auditory sensorimotor gating, but how the cellular substrates for Pv interneuron abnormality have remained elusive. Here, I report that modulation of PPI measured as a psychophysiological index of pre-pulse inhibition (PPI) in mPFC depends on parvalbumin (PV)-mediated adenylate cyclase isoform 5 (AC 5) regulation to coordinate synaptic changes of AMPA receptor (AMPAR), which is adaptive to NMDA receptor (NMDAR) function at glutamatergic synapses onto Pv interneurons. Studies in mPFC of NMDAR antagonism and PV shRNA-silencing models demonstrated downregulation of AMPAR in Pv interneurons and PPI deficits associated with aberrant network activity. Furthermore, deletion of AC 5 impaired PPI without affecting other behavioral effects. Overexpression of PV and reactivation of AC 5 signaling promoted to improve Pv interneuronal synaptic activity in line with PPI effects, which is comparable to PPI rescue by optogenetic stimulation of Pv interneurons. These results suggest that PV-AC 5 signaling is the novel Pv interneuronal mechanisms for mediating synaptic changes of AMPAR and thus NMDAR hypofunction-induced disruption of this signaling impairs synaptic regulation of AMPAR, leading to PPI deficits with abnormal network activity.Parvalbumin ์ธํ„ฐ๋‰ด๋ก ์˜ ๊ธฐ๋Šฅ ์žฅ์• ๋Š” ์ธ์ง€ ๊ธฐ๋Šฅ ๋ฐ ์ฒญ๊ฐ ๊ฐ๊ฐ ์šด๋™ ๋™๊ธฐ์˜ ์•…ํ™”์— ์—ฐ๋ฃจ๋˜์–ด ์žˆ์Œ์ด ๋งŽ์€ ์ด์ „ ์—ฐ๊ตฌ๋“ค์—์„œ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ, parvalbumin ์ธํ„ฐ๋‰ด๋ก ์— ๋Œ€ํ•œ ๊ตฌ์ฒด์ ์ธ ๋ถ„์ž์  ๋ฐ ์„ธํฌํ•™์  ์ˆ˜์ค€์—์„œ์˜ ๊ธฐ์งˆ์—ฐ๊ตฌ๋Š” ์—ฌ์ „ํžˆ ๋งŽ์€ ๋ถ€๋ถ„์ด ํƒ๊ตฌ๋˜์ง€ ์•Š์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‚˜๋Š” mPFC์—์„œ ์ฒญ๊ฐ ๊ฐ๊ฐ ์šด๋™ ๋™๊ธฐ์˜ ์ •์‹ ์ƒ๋ฆฌํ•™์  ์ธก์ • ์ง€ํ‘œ์ธ Prepulse ์–ต์ œ (PPI)์˜ ์กฐ์ ˆ์ด AMPA ์ˆ˜์šฉ์ฒด (AMPAR)์˜ ์‹œ๋ƒ…์Šค ๋ณ€ํ™”์— ์˜ํ•ด์„œ ๊ธฐ์ €ํ•˜๋ฉฐ, ์ด๋Ÿฌํ•œ AMPA ์ˆ˜์šฉ์ฒด๋Š” Parvalbumin ๋‹จ๋ฐฑ์งˆ (PV) ๋งค๊ฐœ๋œ adenylate cyclase ์ด์†Œํ˜• 5 (AC 5) ์กฐ์ ˆ์— ์˜์กด๋œ๋‹ค๊ณ  ๋ณด๊ณ ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ parvalbumin ์ค‘๊ฐ„๊ฒŒ์žฌ ์„ธํฌ ํŠน์ด์ ์ธ ์‹ ํ˜ธ์ „๋‹ฌ ๊ฒฝ๋กœ๋Š” NMDA ์ˆ˜์šฉ์ฒด (NMDAR)์˜ ๊ธฐ๋Šฅ์— ๋”ฐ๋ผ ์ ์‘์ ์œผ๋กœ ์กฐ์ ˆ๋จ์„ ์‹œ์‚ฌํ•œ๋‹ค. NMDAR ๊ธธํ•ญ์ž‘์šฉ ๋ฐ PV shRNA ์–ต์ œ (silencing) ๋ชจ๋ธ์˜ mPFC์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋น„์ •์ƒ์ ์ธ ๋„คํŠธ์›Œํฌ ํ™œ๋™๊ณผ ๊ด€๋ จ๋œ parvalbumin ์ธํ„ฐ๋‰ด๋ก ์—์„œ์˜ ํ•˜ํ–ฅ ์กฐ์ ˆ๋œ AMPA ์ˆ˜์šฉ์ฒด์˜ ๊ธฐ๋Šฅ ๋ฐ PPI ๊ฒฐํ•์ด ๋‚˜ํƒ€๋‚จ์„ ์ž…์ฆํ–ˆ๋‹ค. ๋˜ํ•œ, AC 5์˜ ์œ ์ „์ž ์ œ๊ฑฐ ๋ชจ๋ธ์—์„œ๋Š” ๋‹ค๋ฅธ ํ–‰๋™ ํšจ๊ณผ์—๋Š” ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์œผ๋ฉด์„œ ํŠน์ด์ ์œผ๋กœ PPI์˜ ๊ฒฐํ•๋งŒ์ด ๋‚˜ํƒ€๋‚จ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. Parvalbumin ๋‹จ๋ฐฑ์งˆ์˜ ๊ณผ๋ฐœํ˜„๊ณผ AC 5 ์‹ ํ˜ธ์ „๋‹ฌ์˜ ์žฌํ™œ์„ฑํ™”๋Š” PPI์— ๋Œ€ํ•œ ํšจ๊ณผ์™€ ์ผ์น˜ํ•˜์—ฌ parvalbumin ์ธํ„ฐ๋‰ด๋ก ์˜ ์‹œ๋ƒ…์Šค ํ™œ์„ฑ์„ ๊ฐœ์„ ํ•˜๋„๋ก ์ด‰์ง„์‹œํ‚ค๋Š”๋ฐ ๊ธฐ์—ฌํ•˜์˜€์œผ๋ฉฐ, ์ด๋Š” parvalbumin ์ธํ„ฐ๋‰ด๋ก ์„ ์ง์ ‘์ ์œผ๋กœ ๊ด‘์œ ์ „ํ•™์  ์ž๊ทน์„ ํ•จ์œผ๋กœ์„œ ํšŒ๋ณต๋˜์–ด์ง€๋Š” PPI ์ •๋„์™€ ์œ ์‚ฌํ•œ ์ˆ˜์ค€์˜ ๊ฐœ์„ ์ž„์„ ๋ฐํ˜”๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” parvalbumin ๋‹จ๋ฐฑ์งˆ (PV)์—์„œ AC 5๋กœ ์—ฐ๊ฒฐ๋˜์–ด์ง€๋Š” ์‹ ํ˜ธ๊ฐ€ AMPA ์ˆ˜์šฉ์ฒด์˜ ์‹œ๋ƒ…์Šค ๋ณ€ํ™”๋ฅผ ๋งค๊ฐœํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด parvalbumin ์ธํ„ฐ๋‰ด๋ก ์•ˆ์˜ ํŠน์ด์ ์ธ ์‹ ๊ฒฝ ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด๋ฉฐ ๋”ฐ๋ผ์„œ NMDA ์ˆ˜์šฉ์ฒด ๊ธฐ๋Šฅ์ €ํ•˜๋กœ ์•ผ๊ธฐ๋˜์–ด์ง€๋Š” ์ด ์‹ ํ˜ธ์˜ ๋ฐฉํ•ด๊ฐ€ AMPA ์ˆ˜์šฉ์ฒด์˜ ์กฐ์ ˆ์„ ์†์ƒ์‹œ์ผœ ๋น„์ •์ƒ์ ์ธ ๋„คํŠธ์›Œํฌ ํ™œ๋™๊ณผ ํ•จ๊ป˜ PPI ๊ฒฐ์†์„ ์ดˆ๋ž˜ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค.Preface 1 Abstract 2 Abstract in Korean 4 Graphical Abstract 6 Chapter โ… . PV deficiency induced by NMDAR hypofunction in Pv interneurons causes AMPAR downregulation associated with sensorimotor gating deficits 10 Introduction 11 Materials and Methods 15 Results 21 Figures 33 Discussion 75 Chapter โ…ก. Distinctive AMPAR regulation by PV-mediated AC 5 signaling in Pv interneurons is required for sensorimotor gating 80 Introduction 80 Materials and Methods 83 Results 92 Figures 99 Discussion 122 Bibliography 127๋ฐ•

    The Correlation between Astrocytic Calcium and fMRI Signals is Related to the Thalamic Regulation of Cortical States

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    BOLD fMRI has been wildly used for mapping brain activity, but the cellular contribution of BOLD signals is still controversial. In this study, we investigated the correlation between neuronal/astrocytic calcium and the BOLD signal using simultaneous GCaMP-mediated calcium and BOLD signal recording, in the event-related state and in resting state, in anesthetized and in free-moving rats. To our knowledge, the results provide the first demonstration that evoked and intrinsic astrocytic calcium signals could occur concurrently accompanied by opposite BOLD signals which are associated with vasodilation and vasoconstriction. We show that the intrinsic astrocytic calcium is involved in brain state changes and is related to the activation of central thalamus. First, by simultaneous LFP and fiber optic calcium recording, the results show that the coupling between LFP and calcium indicates that neuronal activity is the basis of the calcium signal in both neurons and astrocytes. Second, we found that evoked neuronal and astrocytic calcium signals are always positively correlated with BOLD responses. However, intrinsic astrocytic calcium signals are accompanied by the activation of the central thalamus followed by a striking negative BOLD signal in cortex, which suggests that central thalamus may be involved in the initiation of the intrinsic astrocytic calcium signal. Third, we confirmed that the intrinsic astrocytic calcium signal is preserved in free moving rats. Moreover, the occurrences of intrinsic astrocytic calcium spikes are coincident with the transition between different sleep stages, which suggests intrinsic astrocytic calcium spikes reflect brain state transitions. These results demonstrate that the correlation between astrocytic calcium and fMRI signals is related to the thalamic regulation of cortical states. On the other hand, by studying the relationship between vesselโ€“specific BOLD signals and spontaneous calcium activity from adjacent neurons, we show that low frequency spontaneous neuronal activity is the cellular mechanism of the BOLD signal during resting state

    Neural Processing in the Three Layer Turtle Visual Cortex

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    In this thesis we investigate neural processing in turtle visual cortex. To this end, we characterize the nature of both spontaneous, ongoing neural activity as well as activity evoked by visual stimulation. Data are collected from whole brain eye-attached preparations, recording with extracellular and intracellular electrodes. We investigate the activity of action potentials as well as the slower local field potential activity. To investigate response properties, we explore spatial properties of receptive fields, temporal properties of spontaneous and evoked activity, response adaptation, and correlations between different types of activity as well as between activity recorded in different regions. To study the roles of rhythmic oscillations in the local field potential, we examine temporal and spectral properties of oscillations. We look at the distributions of durations of oscillatory bursts as well as the distributions of the dominant frequencies within those oscillations. We also investigate the variability of these features and produce similar results in a model simulation. Lastly, we investigate criticality and the statistics of neural activity over a range of scales in the turtle visual cortex. We use neuronal avalanches to reveal scale-free cortical dynamics and power-law statistics, which have been hypothesized to optimize information processing
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