Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: March 8, 2023

Abstract Although every life event is unique, there are considerable commonalities across events. However, little known about whether or how the brain flexibly represents information different components at encoding and during remembering. Here, we show that cortico-hippocampal networks systematically represent specific of events depicted in videos, both online experience episodic memory retrieval. Regions an Anterior Temporal Network represented people, generalizing contexts, whereas regions a Posterior Medial context information, people. prefrontal cortex generalized videos depicting same schema, hippocampus maintained event-specific representations. Similar effects were seen real-time recall, suggesting reuse overlapping memories. These representational profiles together provide computationally optimal strategy to scaffold for high-level components, allowing efficient comprehension, recollection, imagination.

Language: Английский

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Edges in brain networks: Contributions to models of structure and function

Network Neuroscience, Journal Year: 2021, Volume and Issue: unknown, P. 1 - 28

Published: Aug. 13, 2021

Abstract Network models describe the brain as sets of nodes and edges that represent its distributed organization. So far, most discoveries in network neuroscience have prioritized insights highlight distinct groupings specialized functional contributions nodes. Importantly, these are determined expressed by web their interrelationships, formed edges. Here, we underscore important made for understanding Different types different relationships, including connectivity similarity among Adopting a specific definition can fundamentally alter how analyze interpret network. Furthermore, associate into collectives higher order arrangements, time series, form edge communities provide topology complementary to traditional node-centric perspective. Focusing on edges, or dynamic information they provide, discloses previously underappreciated aspects structural

Language: Английский

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High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle

Network Neuroscience, Journal Year: 2023, Volume and Issue: 7(3), P. 1181 - 1205

Published: Jan. 1, 2023

Abstract Many studies have shown that the human endocrine system modulates brain function, reporting associations between fluctuations in hormone concentrations and connectivity. However, how hormonal impact fast changes network organization over short timescales remains unknown. Here, we leverage a recently proposed framework for modeling co-fluctuations activity of pairs regions at framewise timescale. In previous showed time points corresponding to high-amplitude disproportionately contributed time-averaged functional connectivity pattern these co-fluctuation patterns could be clustered into low-dimensional set recurring “states.” assessed relationship states quotidian variation concentrations. Specifically, were interested whether frequency with which occurred was related concentration. We addressed this question using dense-sampling dataset (N = 1 brain). dataset, single individual sampled course two states: natural menstrual cycle while subject underwent selective progesterone suppression via oral contraceptives. During each cycle, 30 daily resting-state fMRI scans blood draws. Our analysis imaging data revealed repeating states. found state scan sessions significantly correlated follicle-stimulating luteinizing also constructed representative networks session only “event frames”—those when an event determined occurred. weights specific subsets connections robustly concentration not hormones, but estradiol.

Language: Английский

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No effect of apolipoprotein E polymorphism on MRI brain activity during movie watching

Brain and Neuroscience Advances, Journal Year: 2025, Volume and Issue: 9

Published: Jan. 1, 2025

Apolipoprotein E ε4 is a major genetic risk factor for Alzheimer’s disease, and some apolipoprotein carriers show disease–related neuropathology many years before cognitive changes are apparent. Therefore, studying healthy genotyped individuals offers an opportunity to investigate the earliest in brain measures that may signal presence of disease-related processes. For example, subtle functional magnetic resonance imaging connectivity, particularly within default mode network, have been described when comparing ε3 carriers. Similarly, very mild impairments episodic memory also documented Here, we use naturalistic activity (movie watching), marker encoding (transient connectivity around so-called ‘event boundaries’), potential phenotype differences associated with genotype large sample adults. Using Bayes analyses, found strong evidence against existence allelic status. did not find E-associated ran exploratory analyses examining: system segregation across whole brain, network. We conclude has little or no effect on how ongoing experiences processed The observed studies reflect early effects pathology

Language: Английский

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Living on the edge: network neuroscience beyond nodes

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(11), P. 1068 - 1084

Published: Sept. 15, 2023

Network neuroscience has emphasized the connectional properties of neural elements - cells, populations, and regions. This come at expense anatomical functional connections that link these to one another. A new perspective namely emphasizes 'edges' may prove fruitful in addressing outstanding questions network neuroscience. We highlight recently proposed 'edge-centric' method review its current applications, merits, limitations. also seek establish conceptual mathematical links between this previously approaches science neuroimaging literature. conclude by presenting several avenues for future work extend refine existing edge-centric analysis.

Language: Английский

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Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching

Imaging Neuroscience, Journal Year: 2023, Volume and Issue: 1, P. 1 - 21

Published: Oct. 19, 2023

Abstract Recent studies have shown that functional connectivity can be decomposed into its exact frame-wise contributions, revealing short-lived, infrequent, and high-amplitude time points referred to as “events.” Events contribute disproportionately the time-averaged pattern, improve identifiability brain-behavior associations, differences in their expression been linked endogenous hormonal fluctuations autism. Here, we explore characteristics of events while subjects watch movies. Using two independently-acquired imaging datasets which participants passively watched movies, find synchronize across individuals based on level synchronization, categorized three distinct classes: those at boundaries between during do not all. We boundary events, compared other categories, exhibit greater amplitude, co-fluctuation patterns, temporal propagation. show underlying events1 is a specific mode involving activation control salience systems alongside deactivation visual systems. movie, hand, display pattern time-locked movie stimulus. Finally, found subjects’ time-varying brain networks are most similar one another these synchronous events.

Language: Английский

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Post-retrieval stress impairs subsequent memory depending on hippocampal memory trace reinstatement during reactivation

Science Advances, Journal Year: 2024, Volume and Issue: 10(18)

Published: May 1, 2024

Upon retrieval, memories can become susceptible to meaningful events, such as stress. Post-retrieval memory changes may be attributed an alteration of the original trace during reactivation-dependent reconsolidation or, alternatively, modification retrieval-related traces that impact future remembering. Hence, how post-retrieval emerge in human brain is unknown. In a 3-day functional magnetic resonance imaging study, we show stress impairs subsequent depending on strength neural reinstatement reactivation, driven by hippocampus and its cross-talk with neocortical representation areas. Comparison patterns immediate final testing further revealed successful retrieval was linked pattern-dissimilarity controls, suggesting use different trace, whereas stressed participants relied representation. These were again dependent reactivation. Our findings disruptive effects consolidation support

Language: Английский

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Bridging the big (data) gap: levels of control in small- and large-scale cognitive neuroscience research

Trends in Neurosciences, Journal Year: 2022, Volume and Issue: 45(7), P. 507 - 516

Published: April 22, 2022

Studies in the field of cognitive neuroscience vary along two different axes: first refers to their 'levels control' (e.g., controlled task designs vs. resting-state paradigms) and second sample size.Although theoretically these axes can be orthogonal, practice they often correlate: generally dominate for small-scale studies, whereas uncontrolled are prevalent among large-scale studies.This results qualitative differences between small- which not due size per se, poses challenges interpretation results. Recently, has experienced unprecedented growth availability datasets. These developments hold great methodological theoretical promise: allow increased statistical power, use nonparametric generative models, examination individual differences, more. Nevertheless, unlike most 'traditional' research, uses experimental designs, projects collect neuroimaging data directly related a particular resting state). This creates gap studies that is solely size. Measures obtained with might tap into neurocognitive mechanisms thus show little overlap probed by studies. In this opinion article, we aim address its potential implications research findings neuroscience. axes. The axis, termed here control', nature employed: some processes driven external input provided researcher (i.e., tasks or stimuli). Tight control over allows track specific elicited task. At other end continuum generated internally without any stimulus task). With no input, ability infer what participants thinking, such entail low levels control. axis study: traditionally, have relied on collected from relatively few (often fewer than 20 group, although see later discussion current trends). However, recent years, hundreds even thousands participants, becoming increasingly popular. Although correlate. investigate context advances demonstrate how pose considerable employ traditional approach tightly manipulations applied discover interpretable relationships brain behavior. notion relies assumption carefully designed used individuate processes, then linked neural mechanisms. For example, central debate episodic memory revolved around role hippocampus retrieval: whether it selectively supports recollection retrieval information about study episode), otherwise 'strong' memories, regardless achieved via familiarity-based judgments prior occurrence [1.Moscovitch M. et al.Episodic beyond: neocortex transformation.Annu. Rev. Psychol. 2016; 67: 105-134Crossref PubMed Scopus (462) Google Scholar]. By combining measures range (including source memory, continuous recognition tasks), lent support tracks amount retrieved, thereby supporting recollection, rather strength an undifferentiated signal [2.Rugg M.D. al.Item hippocampus: fMRI evidence.Neuropsychologia. 2012; 50: 3070-3079Crossref (97) Other examples found fields face perception (the specificity individuation/expertise [3.Kanwisher N. Domain perception.Nat. Neurosci. 2000; 3: 759-763Crossref (670) Scholar, 4.Kanwisher al.The fusiform area: module human extrastriate cortex specialized perception.J. 1997; 17: 4302-4311Crossref (133) 5.Grill-Spector K. area subserves perception, generic within-category identification.Nat. 2004; 7: 555-562Crossref (721) 6.Tarr M.J. Gauthier I. FFA: flexible subordinate-level visual processing automatized expertise.Nat. 764-769Crossref (475) 7.Gauthier al.Activation middle "face area" increases expertise recognizing novel objects.Nat. 1999; 2: 568-573Crossref (924) Scholar]), working (representations maintained frontoparietal occipital regions [8.Teng C. Postle B.R. Understanding parietal contributions memory: commentary Xu (2020).Vis. Cogn. 2021; 29: 401-408Crossref (3) 9.Scimeca J.M. al.Reaffirming sensory recruitment account memory.Trends Sci. 2018; 22: 190-192Abstract Full Text PDF (42) 10.Gayet S. al.Visual storage recruits areas.Trends 189-190Abstract (31) syntactic (a general cognition left inferior frontal gyrus [11.Tyler L.K. al.Left syntax: function, structure behaviour patients hemisphere damage.Brain. 2011; 134: 415-431Crossref (164) Scholar]). Over combination allowed neuroscientists make immense progress characterizing understanding relations multiple imaging modalities (Box 1) across domains.Box 1Functional neuroscienceA variety modalities, including fMRI, electroencephalography (EEG), MEG, positron emission tomography (PET)/computed (CT), functional near-IR spectroscopy (fNIRS), neuroscience, providing perspectives complementary evidence unique strengths offered each technique. projects, there clear dominance fMRI. review open-access datasets [26.Madan C.R. Scan once, analyse many: using large understand brain.Neuroinformatics. (Published online May 11, 2021)https://doi.org/10.1007/s12021-021-09519-6Crossref (7) Scholar], 61 (n > 100) involving 37 included but only nine EEG and/or MEG (we aware additional M/EEG data, were [48.Harati A. TUH CORPUS: big resource automated interpretation.in: 2014 Signal Processing Medicine Biology Symposium (SPMB). IEEE, 2014: 1-5Crossref (51) Scholar,49.Vaghari D. al.A multi-site, multi-participant magnetoencephalography dataset dementia: BioFIND dataset.medRxiv. 19, 2021)https://doi.org/10.1101/2021.05.19.21257330Google Scholar]).Why being overlooked entirely clear. Possible reasons popularity include straightforward structural metrics greater spatial resolution given widely available frequently while also entailing costs, one expect at least as popular projects. Thus, another reason may stem fact networks established [12.Damoiseaux J.S. al.Consistent healthy subjects.Proc. Natl. Acad. U. 2006; 103: 13848-13853Crossref (3183) 13.Raichle M.E. default mode function.Proc. 2001; 98: 676-682Crossref (8774) 14.Greicius al.Functional connectivity brain: network analysis hypothesis.Proc. 2003; 100: 253-258Crossref (4752) easy grand scale (see main text). been observed MEG/EEG [50.Khanna al.Microstates EEG: status future directions.Neurosci. Biobehav. 2015; 49: 105-113Crossref (299) 51.O'Neill G.C. al.Dynamics electrophysiological networks: technical review.NeuroImage. 180: 559-576Crossref (100) 52.Newson J.J. Thiagarajan T.C. frequency bands psychiatric disorders: state studies.Front. Hum. 2019; 12: 521Crossref (201) 53.Baker A.P. al.Fast transient spontaneous activity.eLife. 2014; 3e01867Crossref (271) 54.Tibon R. al.Transient dynamics ageing.Neurobiol. Aging. 105: 217-228Crossref (8) typical way analyzing remains focused, less consensus regarding [55.Colclough G.L. al.How reliable metrics?.NeuroImage. 138: 284-293Crossref (206) investigation temporal greatly benefit superior modalities.Despite optimal modality every purpose. It important consider, would argue, methods, seeing 'default' modality, select methods seem best suited question(s) hand. A Why modalities. Despite levels-of-control continuum, emerged form design, alternative map relationship trait-like functions. build discovery consistent absence study, acquired exposed cases, behavioral performed outside scanner) patterns rest. various populations clinical applications [15.Arbabshirani al.Classification schizophrenia based connectivity.Front. 2013; 133Crossref (122) addition, commonalities activation [16.Smith S.M. al.Correspondence brain's architecture during rest.Proc. 2009; 106: 13040-13045Crossref (3487) Scholar,17.Tavor al.Task-free MRI predicts activity performance.Science. 352: 216-220Crossref (403) suggesting both largely shaped shared stable intrinsic [18.Cole M.W. al.Intrinsic task-evoked architectures brain.Neuron. 83: 238-251Abstract (864) note, however, despite prevalence especially analyzed, measure similarly [19.Campbell K.L. Schacter D.L. Ageing state: obsolete?.Lang. 2017; 32: 661-668Crossref (35) Scholar,20.Finn E.S. Is time put rest rest?.Trends 25: 1021-1032Abstract (15) addition 2), opportunities neurocognition.Box 2Naturalistic designs: beyond dataIn decade characterized increasing versatility. innovative more ones. particular, incorporate naturalistic stimuli behaviors gaining popularity. movie-viewing paradigms, watch movie performing (other following instruction 'watch movie') [35.Finn al.Idiosynchrony: responses neuroimaging.NeuroImage. 2020; 215116828Crossref (43) Scholar,56.Hasson al.Reliability cortical natural stimulation.Trends 2010; 14: 40-48Abstract (362) 57.Ben-Yakov Henson R.N. hippocampal film editor: sensitivity event boundaries experience.J. 38: 10057-10068Crossref (62) 58.Geerligs L. Campbell Age-related watching.Neurobiol. 72: 106-120Crossref 59.Kauttonen J. al.Brain underlying cue-based memorizing free viewing Memento.NeuroImage. 172: 313-325Crossref (17) Similarly, ongoing narrative-processing listen story, conversation, lecture, again minimal instructions [59.Kauttonen Scholar,60.Meshulam al.Neural alignment learning outcomes students taking introduction computer science course.Nat. Commun. 1922Crossref (10) Such comprise stream, ecological model processed 'real-world' situations. Arguably, characteristics constrained that, our real-world experiences, act interact surround us, afforded limited. To limitations, incorporated interactive behaviors, speech navigation virtual-reality environment, better [61.Chen al.Shared memories reveal individuals.Nat. 20: 115-125Crossref (235) 62.Lenormand Piolino P. search approach: exploration feasibility through case VR-fMRI application domain memory.Neurosci. 2022; 133104499Crossref (1) 63.Zadbood transmit brains: constructing representations communication.Cereb. Cortex. 27: 4988-5000Crossref (69) production within confines scanner undoubtedly challenging, benefits mobility techniques, mobile devices wearable systems [64.Roberts G. al.Towards OPM-MEG virtual reality environment.NeuroImage. 199: 408-417Crossref (40) 65.Seymour R.A. al.Interference suppression techniques OPM-based MEG: challenges.NeuroImage. 247118834Crossref (5) 66.Liebherr al.EEG correlates attentional walking navigating environments.Sci. Rep. 11: 22325Crossref 67.Krugliak Clarke Towards augmented reality.Sci. 2291Crossref (2) Scholar].One initial motivations 'naturalistic' was rooted long-standing critique because isolated artificial tasks, conclusions generate fail generalize laboratory real-life contexts [68.Hasson Honey C.J. Future trends neuroimaging: expressed contexts.NeuroImage. 62: 1272-1278Crossref (101) 69.Nastase S.A. al.Keep real: rethinking primacy neuroscience.NeuroImage. 222117254Crossref (46) 70.Maguire E.A. Studying freely-behaving fMRI.NeuroImage. 1170-1176Crossref (34) 71.Hamilton L.S. Huth A.G. revolution will controlled: neuroscience.Lang. 35: 573-582Crossref (58) 72.Matusz P.J. al.Are ready neuroscience?.J. 31: 327-338Crossref (73) 73.Sonkusare al.Naturalistic neuroscience: critically acclaimed.Trends 23: 699-714Abstract (125) Moreover, paradigms do efficiency targeted [71.Hamilton offer relative domains phenomena [74.Haxby J.V. dominant agentic action representation.NeuroImage. 216116561Crossref (18) Importantly, overcome limitations maintaining complex, multidimensional, evolved capitalize guide behavior [69.Nastase Naturalistic shown enhance meaningful [75.Finn Bandettini P.A. Movie-watching outperforms connectivity-based prediction behavior.NeuroImage. 235117963Crossref (28) Scholar] provide direct links annotated features narrative [20.Finn Scholar,57.Ben-Yakov Scholar,76.Kurby C.A. Zacks Preserved segmentation older adults.Psychol. 33: 232-245Crossref (14) 77.Michelmann al.Moment-by-moment tracking hippocampo-cortical interactions.Nat. 5394Crossref (6) 78.Chang C.H.C. al.Relating past present: integration segregation processing.J. 1106-1128Crossref (12) advantage richness produce. answer wider questions task-controlled spoken ranging word meaning emotions social Scholar,71.Hamilton Scholar,79.Willems R.M. al.Narratives neuroscience.Trends 43: 271-273Abstract (19) practical level 'ease use'), comparable therefore implement reduce head motion [80.Greene D.J. al.Behavioral interventions reducing scans children.NeuroImage. 171: 234-245Crossref (80) When complemented mor

Language: Английский

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Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall

Imaging Neuroscience, Journal Year: 2024, Volume and Issue: 2, P. 1 - 17

Published: April 23, 2024

Abstract Individuals differ greatly in their ability to remember the details of past events, yet little is known about brain processes that explain such individual differences a healthy young population. Previous research suggests episodic memory relies on functional communication among ventral regions default mode network (“DMN-C”) are strongly interconnected with medial temporal lobes. In this study, we investigated whether intrinsic connectivity DMN-C subnetwork related ability, examining relationship across 243 individuals (ages 18-50 years) from openly available Cambridge Center for Aging and Neuroscience (Cam-CAN) dataset. We first estimated each participant’s whole-brain by combining data resting-state, movie-watching, sensorimotor task scans increase statistical power. then examined predicted performance narrative recall task. found no evidence DMN-C, itself, other DMN subnetworks, or rest brain, was recall. Exploratory connectome-based predictive modeling (CBPM) analyses entire connectome revealed multivariate pattern performance, although these changes were largely outside networks. These results add emerging suggesting cannot be easily explained areas typically associated function.

Language: Английский

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The influence of the precuneus on the medial temporal cortex determines the subjective quality of memory during the retrieval of naturalistic episodes

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 4, 2024

Memory retrieval entails dynamic interactions between the medial temporal lobe and areas in parietal frontal cortices. Here, we tested hypothesis that effective connectivity precuneus, cortex, cortex contributes to subjective quality of remembering objects together with information about their rich spatio-temporal encoding context. During a 45 min session, participants were presented pictures while they actively explored virtual town. The following day, under fMRI, images had report whether: recognized object could remember place/time encoding, was familiar only, or new. hippocampus/parahippocampus, precuneus ventro-medial prefrontal activated when successfully seen town reported these events. Analyses showed influence exerted by on mediates this effect episodic recollection. Our findings demonstrate role inter-regional mediating experience underline relevance studying memory contextually-rich conditions.

Language: Английский

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