The spectro-contextual encoding and retrieval theory of episodic memory.

The spectral fingerprint hypothesis, which posits that different frequencies of oscillations underlie different cognitive operations, provides one account for how interactions between brain regions support perceptual and attentive processes (Siegel etal., 2012). Here, we explore and extend this idea to the domain of human episodic memory encoding and retrieval. Incorporating findings from the synaptic to cognitive levels of organization, we argue that spectrally precise cross-frequency coupling and phase-synchronization promote the formation of hippocampal-neocortical cell assemblies that form the basis for episodic memory. We suggest that both cell assembly firing patterns as well as the global pattern of brain oscillatory activity within hippocampal-neocortical networks represents the contents of a particular memory. Drawing upon the ideas of context reinstatement and multiple trace theory, we argue that memory retrieval is driven by internal and/or external factors which recreate these frequency-specific oscillatory patterns which occur during episodic encoding. These ideas are synthesized into a novel model of episodic memory (the spectro-contextual encoding and retrieval theory, or "SCERT") that provides several testable predictions for future research

Spatiotemporal Dynamics of Neural Activity During Human Episodic Memory Encoding and Retrieval

Throughout literary history, the ability to travel in time has been a source of wonder and amusement. Why this fascination with moving through time? One reason may be that people are especially attuned to the concept of time travel because we each possess our own personal mental time machine: episodic memory. Through episodic memory, we transport ourselves back in time to re-live experiences from our past. This allows us to reflect on our own self-knowledge, effectively placing ourselves in context of our lives. This dissertation investigates how our brains accomplish this highly sophisticated cognitive operation. Using a laboratory model of episodic memory (free recall) and a particularly powerful neuroimaging tool (intracranial EEG), I document the changes that occur in the brain as episodic memories are first formed and then later retrieved. I find that the episodic memory system is best conceptualized as stage-wise process consisting of distinct brain regions that activate at highly conserved times relative to memory formation/retrieval. These discrete activations are used to construct a novel neurological model of episodic memory, the Neurological Stages of Episodic Retrieval and Formation (N-SERF) model. Future work should be aimed at verifying the hypotheses put forward by the N-SERF model, we well as relating the N-SERF model to prominent computational models of episodic memory

Characterization And Perturbation Of Functional Networks That Support Human Memory

Episodic memory is essential to our daily lives, as it attaches meaning to the constant stream of sensory inputs to the brain. However, episodic memory often fails in a number of common neurocognitive disorders. Effective therapies remain elusive, owing to the complexity of brain networks and neural processes that support episodic encoding and retrieval. In particular, it is not understood how inter-regional communication within the brain supports memory function, though such communication may be critical to the highly integrative nature of episodic memory. To uncover the patterns of memory-related functional connectivity, we asked a large cohort of neurosurgical patients with indwelling electrodes to perform a verbal free-recall task, in which patients viewed lists of simple nouns and recalled them a short time later. As patients performed this task, we collected intracranial EEG (iEEG) from electrodes placed on the cortical surface and within the medial temporal lobe (MTL). First, we examined whole-brain functional networks that emerged during the encoding and retrieval phases of this task, using spectral methods to correlate frequency-specific signals between brain regions. We identified a dynamic network of regions that exhibited enhanced theta (3-8 Hz) connectivity during successful memory processing, whereas regions tended to desynchronize at high frequencies (30-100 Hz). Next, using only electrodes placed within the MTL, we asked whether functional coupling was also observed among this mesoscale subnetwork of highly specialized regions that play an outsize role in memory. Recapitulating our earlier findings, we noted broadly enhanced theta connectivity within the MTL, centering on the left entorhinal cortex during successful encoding operations. Finally, to determine whether such low-frequency functional connections reflect correlative or causal relations in the brain, we applied direct electrical stimulation via electrodes placed within the MTL. We found that low-frequency connections (5-13 Hz) predicted the emergence of theta activity at distant regions in the brain – particularly when stimulation occurred near white matter – indicating the potential causal relevance of iEEG-based functional connections. Taken together, these studies underscore the importance of low-frequency functional coupling to memory across spatial scales, and suggest this form of coupling indicates a causal relation between brain regions

Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum

Brain oscillations are one of the core mechanisms underlying episodic memory. However, while some studies highlight the role of synchronized oscillatory activity, others highlight the role of desynchronized activity. We here describe a framework to resolve this conundrum and integrate these two opposing oscillatory behaviors. Specifically, we argue that the synchronization and desynchronization reflect a division of labor between a hippocampal and a neocortical system, respectively. We describe a novel oscillatory framework that integrates synchronization and desynchronization mechanisms to explain how the two systems interact in the service of episodic memory

Neural Mechanisms of Episodic Memory formation

In order to remember what you had for breakfast today, you must rely on episodic memory, the memory for personal events situated within a spatiotemporal context. In this dissertation, I use electroencephalographic (EEG) recordings to measure the neural correlates of successful episodic memory formation. The recorded EEG signals simultaneously sample local field potentials throughout the brain, and can be analyzed in terms of specific time-varying oscillatory or spectral components of neural activity which are thought to reflect the concerted activity of neuronal populations. I collected EEG recordings while participants engage in free recall, an episodic memory task during which participants must study and then recall a list of items. In the first chapter, I compare the spectral correlates during encoding of items later remembered to those later forgotten using two separate recording modalities, scalp and intracranial EEG. I find that memory formation is characterized by broad low frequency spectral power decreases and high frequency power increases across both datasets, suggesting that scalp EEG can resolve high frequency activity (HFA) and that low frequency decreases in intracranial EEG are unlikely due to pathology. In the next chapter, I connect these HFA increases to memory-specific processes by comparing study items based on how they are re- called, not whether they are recalled. I find increased HFA in left lateral cortex and hippocampus during the encoding of subsequently clustered items, those items recalled consecutively with their study neighbors at test. The precise time course of these results suggests that context updating mechanisms and item-to-context associative mechanisms support successful memory formation. In the third chapter, I measure how the formation of these episodic associations is modulated by pre-existing semantic associations by including a semantic orienting task during the encoding interval. I find that semantic processing interferes with the formation of new, episodic memories. In the final chapter, I show that the memory benefit for emotionally valenced items is better explained by a contextual mechanism than an attentional mechanism. Together, my work supports the theory that contextual encoding associative mechanisms, reflected by HFA increases in the memory network, support memory formation

성공기억에서의 해마의 특징적 뇌 기전

학위논문 (박사) -- 서울대학교 대학원 : 자연과학대학 뇌인지과학과, 2020. 8. 정천기.One of the most intriguing of the human brain's complex functions is the ability to store information provided by experience and to retrieve much of it at will. This capability of memory processing is critical to humans survival – that is, humans guide their actions based on a given stimulus (e.g., item) in an environment, and can do so even when the stimulus is no longer present owing to the memory of the stimulus. A fundamental question of memory is why some experiences are remembered whereas others are forgotten. Since Scoville and Milners characterization of patient H.M., who demonstrated severe recognition memory deficits following damage to the medial temporal lobe (MTL), the hippocampus has been extensively studied as one of the key neural substrates for memory. In line with this, several experiments have been conducted on exploring the roles of the hippocampus in various ways. One is confirming the causality of the hippocampus in the memory process using direct electrical stimulation to the hippocampal region. The other is investigating the neural correlates of hippocampus using intracranial electroencephalography (iEEG) field potential and single neurons action potential known as spike recorded directly from the hippocampus. The present thesis is focused on providing direct electrophysiological evidence of human hippocampus in episodic memory that may help fill the gap that remained in the field for several years. Here, I will show how direct hippocampal stimulation affect human behavior and present characterized neural correlates of successful memory in the hippocampus. In the first study, building on the previous findings on the hippocampus, I sought to address whether the hippocampus would show functional causality with memory tasks and elicit different neural characteristics depending on memory tasks applied. I found hippocampal stimulation modulated memory performance in a task-dependent manner, improving associative memory performance, while impairing item memory performance. These results of the task-specific memory modulation suggest that the associative task elicited stronger theta oscillations than the single-item task. In the second study, I tested whether successful memory formation relies on the hippocampal neuronal activity that engaged preceding an event. I found that hippocampal pre-stimulus spiking activity (elicited by a cue presented just before a word) predicted subsequent memory. Stimulus activity during encoding (during-stimulus) also showed a trend of predicting subsequent memory but was simply a continuation of pre-stimulus activity. These findings indicate that successful memory formation in human is predicted by a pre-stimulus activity and suggests that the preparatory mobilization of neural processes before encoding benefits episodic memory performance. Throughout the study, the current finding suggests the possibility that the intervals of poor memory encoding can be identified even before the stimulus presented and may be rescued with targeted stimulation to the hippocampus even before the stimulus presented.인간의 복잡한 뇌 기능 중 흥미로운 하나는 경험에 의거하여 정보를 저장하고 의지에 따라 저장된 정보를 재인하는 기억 능력 이다. 인간은 주어진 자극에 기반하여 행동을 정하며 심지어 자극이 없는 상황에서도 자극에 대한 기억을 바탕으로 행동을 결정하기 때문에 기억 능력은 생존에 있어 매우 결정적이며, 이러한 기억과 관련된 가장 기본적인 질문은 기억의 저장 메커니즘, 즉, 어떤 기억은 저장이 되고 어떤 기억은 잊혀지는 가일 것이다. 스코빌과 밀너가 처음 보고한 기억상실증 환자 H.M.은 측두영역의 손상을 입은 후 심각한 인지 기억 능력의 장애를 보였고, 이후 사람 뇌의 해마 영역은 기억을 관장하는 뇌의 중요한 영역 중 하나로 널리 연구되었다. 해마가 기억에 미치는 영향과 역할에 대해서는 다양한 방법으로 실험이 진행되어 왔다. 그 중의 하나는 뇌에 직접적인 전기자극을 가해 기억 과정 중 해마의 역할을 확인하는 방법인데, 이는 뇌전증 환자의 모델을 통해 사람의 뇌에 접근이 가능해지면서 이루어져 왔다. 두 번째 방법은 전기생리학적 방법을 통하는 것인데 세포 외 활동 전위인 스파이크를 통해 성공기억에서의 뉴런의 활동성을 밝히는 것이다. 이 논문은 이 분야에서 오랫동안 논란이 되었고 부족했던 성공 기억에 관련된 해마의 역할과 기전을 물리적 자극 및 신경세포의 신호를 측정해서 전기생리학적 특성을 제시하는데 초점을 맞추고 있다. 논문에서 본 저자는 사람의 성공기억형성과 재인에 대해 뇌 자극과 단위세포활동을 보고할 것이다. 해마와 기억의 인과관계 및 기억 과정 중의 해마의 뇌 기전과 관련된 기존의 실험적, 행동적 발견들에 근거하여 본 저자는 (ㄱ) 해마에 직접적인 전기 자극을 주고 기억 수행능력의 차이 및 기억 과제에 따른 해마의 신경 기전을 밝히고, (ㄴ) 성공 기억이 형성되는 과정에서 나타나는 신경세포의 발화 패턴의 특성을 살펴보았다. 본 연구를 통해 저자는 향후 기억의 형성 과정에서, 자극이 제시되는 구간뿐 만 아니라 자극이 주어지기 전 단계에서도 해마를 타깃 하여 전기 자극을 줌으로써 기억 실패로 이어질 수 있는 자극을 성공 기억으로 저장할 수 있도록 유도할 수 있을 것이라 기대한다.SECTION 1. INTRODUCTION 1 CHAPTER 1: Human Memory System 1 1.1. The hippocampus and memory 2 1.2. The structure of the hippocampus 3 CHAPTER 2: Human Memory Research: how to see a memory 4 2.1 Clinical rationale for invasive recordings with intracranial electrodes 4 2.2. Human intracranial EEG 6 2.3. Single unit activity recording and spike sorting in human 7 2.4. Direct brain stimulation study 9 CHAPTER 3: Human Memory Research: hippocampal activity for understanding successful memory formation 11 3.1. Functional role of human intracranial oscillatory activity in successful memory mechanism 11 3.1.1. Theta Oscillations 11 3.1.2. Gamma oscillations 13 3.2. Brain stimulation for memory enhancement 14 3.3. Single unit activity study in memory 15 CHAPTER 4: Purpose of the Present Study 17 SECTION 2. EXPERIMENTAL STUDY 19 CHAPTER 5: The importance of the hippocampal oscillatory activity for successful memory: direct brain stimulation study 19 5.1. Abstract 20 5.2. Introduction 22 5.3. Materials and Methods 25 5.3.1. Patients 25 5.3.2. Electrode localization 25 5.3.3. Memory task 29 5.3.4. Brain stimulation 30 5.3.5. Neuropsychological memory test 31 5.3.6. Analysis of memory performance and electrophysiological data 32 5.4. Results 37 5.4.1. Hippocampal stimulation improves associative memory but impairs item memory 37 5.4.2. Stimulation-induced memory enhancement is reflected in increased theta power during retrieval 38 5.4.3. Associative memory elicits higher theta power than item memory during encoding 42 5.4.4. Successful memory encoding elicits higher theta power in both memory task 44 5.4.5. Stimulation-mediated memory effect is greater in subject with poorer baseline cognitive function 46 5.5. Discussion 48 5.5.1. Summary 48 5.5.2. Task-dependent effects of hippocampal stimulation on memory 49 5.5.3. Theta activity as a neural signature for memory enhancement 51 5.5.4. Clinical implications 52 5.5.5. Limitations 54 5.5.6. Conclusion 55 CHAPTER 6: Hippocampal pre-stimulus activity predicts later memory success 57 6.1. Abstract 58 6.2. Introduction 59 6.3. Materials and Methods 62 6.3.1. Patients 62 6.3.2. Electrodes 63 6.3.3. Task and Stimuli 64 6.3.4. Electrophysiological recordings and Spike sorting 65 6.3.5. Analysis of iEEG field potentials 66 6.4. Results 68 6.4.1. Behavioral results 68 6.4.2. Spiking properties of hippocampal neurons 68 6.4.3. Hippocampal pre-stimulus activity correlates with successful memory 70 6.4.4. Hippocampal pre-stimulus spiking activity correlates with high gamma field potentials 74 6.5. Discussion 78 6.5.1. Summary 78 6.5.2. Comparison with previous findings 78 6.5.3. Possible mechanism underlying pre-stimulus activity 79 6.5.4. Conclusion 82 SECTION 3. GENERAL CONCLUSION 83 CHAPTER 7: General Conclusion and Perspective 83 Bibliography 84 Abstract in Korean (국문초록) 93Docto

Human Verbal Memory Encoding Is Hierarchically Distributed in a Continuous Processing Stream.

Processing of memory is supported by coordinated activity in a network of sensory, association, and motor brain regions. It remains a major challenge to determine where memory is encoded for later retrieval. Here, we used direct intracranial brain recordings from epilepsy patients performing free recall tasks to determine the temporal pattern and anatomical distribution of verbal memory encoding across the entire human cortex. High γ frequency activity (65-115 Hz) showed consistent power responses during encoding of subsequently recalled and forgotten words on a subset of electrodes localized in 16 distinct cortical areas activated in the tasks. More of the high γ power during word encoding, and less power before and after the word presentation, was characteristic of successful recall and observed across multiple brain regions. Latencies of the induced power changes and this subsequent memory effect (SME) between the recalled and forgotten words followed an anatomical sequence from visual to prefrontal cortical areas. Finally, the magnitude of the memory effect was unexpectedly found to be the largest in selected brain regions both at the top and at the bottom of the processing stream. These included the language processing areas of the prefrontal cortex and the early visual areas at the junction of the occipital and temporal lobes. Our results provide evidence for distributed encoding of verbal memory organized along a hierarchical posterior-to-anterior processing stream

Electrophysiological Signatures of Spatial Boundaries in the Human Subiculum.

Environmental boundaries play a crucial role in spatial navigation and memory across a wide range of distantly related species. In rodents, boundary representations have been identified at the single-cell level in the subiculum and entorhinal cortex of the hippocampal formation. Although studies of hippocampal function and spatial behavior suggest that similar representations might exist in humans, boundary-related neural activity has not been identified electrophysiologically in humans until now. To address this gap in the literature, we analyzed intracranial recordings from the hippocampal formation of surgical epilepsy patients (of both sexes) while they performed a virtual spatial navigation task and compared the power in three frequency bands (1-4, 4-10, and 30-90 Hz) for target locations near and far from the environmental boundaries. Our results suggest that encoding locations near boundaries elicited stronger theta oscillations than for target locations near the center of the environment and that this difference cannot be explained by variables such as trial length, speed, movement, or performance. These findings provide direct evidence of boundary-dependent neural activity localized in humans to the subiculum, the homolog of the hippocampal subregion in which most boundary cells are found in rodents, and indicate that this system can represent attended locations that rather than the position of one\u27s own body

A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

Decades of rodent research have established the role of hippocampal sharp wave ripples (SPW-Rs) in consolidating and guiding experience. More recently, intracranial recordings in humans have suggested their role in episodic and semantic memory. Yet, common standards for recording, detection, and reporting do not exist. Here, we outline the methodological challenges involved in detecting ripple events and offer practical recommendations to improve separation from other high-frequency oscillations. We argue that shared experimental, detection, and reporting standards will provide a solid foundation for future translational discovery.This work was funded by K23NS104252 (A.A.L.) R01 MH117777 (E.B., J.W.R.) Whitehall Foundation (KH) 5F31NS120783-02 (Z.L.) 1U19NS104590 (A.L.) R01NS106611-02 (J.S., M.K.) MTEC-20-06-MOM013 (J.S., M.K.) 1U19NS107609-01 (I.S., J.L.) 1U19NS104590 (A.L., J.S.F., I.S.) 1U19NS107609 (E.A.B., J.W.R., J.J.L., I.S.) La Caixa LCF/PR/HR21/52410030 (A.N.O., L.dl.P) European Research Council Consolidator Grant 101001121 (B.P.S.) U.S.-Israel BSF grant 2017015 (RM)U01-NS113198 (J.J.) NSF CAREER IOS-1844935 (M.vdM.) 1R01NS121764-01 (B.L.M.) R01 MH122391 (G.B.) 30MH126483 (J.A.G.) Fondation pour la Recherche Médicale EQU202103012768 (M.Z.) 1R16-NS131108-01 (L.L.)