A tripartite view of the posterior cingulate cortex

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 24(3), P. 173 - 189

Published: Dec. 1, 2022

Language: Английский

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Rethinking retrosplenial cortex: Perspectives and predictions

Neuron, Journal Year: 2022, Volume and Issue: 111(2), P. 150 - 175

Published: Dec. 1, 2022

Language: Английский

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Quantifying aphantasia through drawing: Those without visual imagery show deficits in object but not spatial memory

Cortex, Journal Year: 2020, Volume and Issue: 135, P. 159 - 172

Published: Dec. 4, 2020

Language: Английский

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Distinct subdivisions of human medial parietal cortex support recollection of people and places

eLife, Journal Year: 2019, Volume and Issue: 8

Published: July 15, 2019

Human medial parietal cortex (MPC) is implicated in multiple cognitive processes including memory recall, visual scene processing and navigation, a core component of the default mode network. Here, we demonstrate distinct subdivisions MPC that are selectively recruited during recall either specific people or places. First, regions exhibited differential functional connectivity with lateral ventral temporal (VTC). Second, these same showed selective, but negative, responses to presentation different stimulus categories, clear preferences for scenes faces. Finally, most critically, were differentially places strong familiarity advantage. Taken together, data suggest organizing principle defining medial-lateral axis VTC reflected MPC, context recall.

Language: Английский

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Transforming the Concept of Memory Reactivation

Trends in Neurosciences, Journal Year: 2020, Volume and Issue: 43(12), P. 939 - 950

Published: Oct. 8, 2020

A foundational finding in the field of memory is that content-sensitive patterns neural activity expressed during perceptual experiences are re-expressed when remembered, a phenomenon termed reactivation. However, reactivation obscures key differences how events and memories represented brain.Recent findings suggest systematic, spatial transformations from perception to retrieval. These occur within sensory cortex frontoparietal cortex.We consider why identify critical questions be addressed future research. Understanding ways which representations differ will critically inform theoretical accounts help clarify brain recreates past. Reactivation refers wherein experience at later time, putative marker memory. content has been observed across many cortical areas correlates with objective subjective expressions humans. because emphasizes similarities between memory-based representations, it represented. Here, we highlight recent evidence systematic (and where) brain. We argue best thought as spatially transformed versions representations. for When remembering an event past, often feels though re-experiencing event, bringing mind sensations, emotions, or thoughts characterized initial experience. This quality paralleled by important phenomenon: (see Glossary) evoked retrieved referred influential tool studying episodic Neural measures have shown predictive accuracy [1.Polyn S.M. et al.Category-specific precedes retrieval search.Science. 2005; 310: 1963-1966Crossref PubMed Scopus (416) Google Scholar, 2.Ritchey M. al.Neural similarity encoding related via hippocampal interactions.Cereb. Cortex. 2013; 23: 2818-2828Crossref 3.Gordon A.M. al.Cortical reinstatement mediates relationship content-specific subsequent recollection decisions.Cereb. 2014; 24: 3350-3364Crossref (76) Scholar], vividness [4.St-Laurent al.Distributed predict recollection.J. Cogn. Neurosci. 2015; 27: 2000-2018Crossref (30) Scholar,5.Kuhl B.A. Chun M.M. Successful elicits event-specific lateral parietal cortex.J. 34: 8051-8060Crossref (99) consequences [6.Kuhl reveals mechanisms updating memory.J. 2012; 32: 3453-3461Crossref (0) 7.Lee H. al.Decomposing remembering.Cereb. 2018; 29: 3305-3318Crossref (6) 8.Chanales A.J.H. al.Interference overlapping predicted states learning.Nat. Commun. 2019; 10: 5363Crossref Scholar]. Another notable aspect can measured contexts such rest [9.Tambini A. Davachi L. Persistence multivoxel into postencoding memory.Proc. Natl. Acad. Sci. U. S. 110: 19591-19596Crossref (92) 10.Schlichting M.L. Preston A.R. Memory supports upcoming learning content.Proc. 111: 15845-15850Crossref 11.Schapiro A.C. al.Human replay prioritizes weakly learned information predicts performance.Nat. 9: 3920Crossref (27) Scholar] sleep [12.Rudoy J.D. al.Strengthening individual reactivating them sleep.Science. 2009; 326: 1079Crossref (275) Scholar,13.Antony J.W. al.Cued influences skill 15: 1114-1116Crossref (151) behavioral recordings not feasible. Over past two decades, there tremendous advances both computational sophistication sensitivity methods used measure (Box 1), but these exploit same fundamental 'match' While this emphasis on appealing unquestionably important, here also provides incomplete view contents In particular, reactivation, definition, tests retrieval, necessarily fails capture memory.Box 1Methods Approaches Detecting ReactivationNoninvasive Neuroimaging MethodsMemory extensively studied using noninvasive imaging techniques [e.g., fMRI, electroencephalography (EEG), magnetoencephalography], simultaneously record population large parts Below, detail several popular analytic approaches measuring neuroimaging data. All test profiles activation Notably, applied varying levels specificity: stimulus category (e.g., faces vs scenes objects), specific exemplar apple butterfly), feature value color: red yellow).Univariate ActivationBrain regions identified mean level varies according content. demonstrated exhibiting similar (changes level) [19.Wheeler M.E. al.Memory's echo: vivid reactivates sensory-specific cortex.Proc. 2000; 97: 11125-11129Crossref Scholar].Pattern SimilarityNeural (activity voxels sensors) region. Patterns then region correlation pattern corresponding exceeding noncorresponding [2.Ritchey Scholar,84.Staresina B.P. al.Episodic medial temporal lobe.J. 18150-18156Crossref (106) Scholar].Decoding ModelsSupervised models trained learn mapping stimuli classes perception. tested classifier transfer (i.e., perception-trained model accurately labeling memory) Scholar,22.Kuhl al.Fidelity competition memories.Proc. 2011; 108: 5903-5908Crossref Scholar].Encoding ModelsModels specify mathematical relationships physical properties pixel values) fit data if parameters generalize retrieval) [85.Senden al.Reconstructing imagined letters early visual tight topographic correspondence mental imagery perception.Brain Struct. Funct. 224: 1167-1183Crossref (11) Predicted decode remembered (encoding–decoding) [24.Naselaris T. al.A voxel-wise decodes images scenes.NeuroImage. 105: 215-228Crossref (101) Scholar,25.Bone M.B. al.Feature-specific memory.Nat. 2020; 11: 1945Crossref inverted reconstruct (inverted model) [46.Ester E.F. al.Parietal frontal encode stimulus-specific mnemonic working memory.Neuron. 87: 893-905Abstract Full Text PDF (148) Scholar].Invasive Physiological Optogenetic MethodsWhile current article focuses methods, benefit large-scale coverage brain, all aforementioned local potential single-cell electrophysiological invasively humans (when treated neurological diseases requiring electrode implants) [86.Schreiner Staudigl Electrophysiological signatures humans.Phil. Trans. R. Soc. B Biol. 37520190293Crossref (2) animal experiments. Other approaches, high-density recordings, more prevalent some restricted For example, single-unit datasets collected rodents essential characterizing replay, temporally structured firing sequences [62.Ólafsdóttir H.F. al.The role planning.Curr. 28: R37-R50Abstract (55) Only recently [87.Vaz A.P. al.Replay spiking human retrieval.Science. 367: 1131-1134Crossref techniques, applicable studies solely, revealed experimentally induced sufficient evoke behavior [88.Josselyn S.A. Tonegawa engrams: recalling imagining future.Science. 367eaaw4325Crossref (39) Noninvasive Methods yellow). Univariate Activation Brain Pattern Similarity Decoding Models Supervised Encoding Invasive One obvious way might terms amount they contain, presumably being weaker degraded version Empirically, manifest, reduced ability compared number clear violations idea: specifically, contain about perceptually experienced [14.Steel al.An interface scene posterior cerebral cortex.bioRxiv. (Published online May 26, 2020. https://doi.org/10.1101/2020.05.25.115147)PubMed 15.Long N.M. al.Hippocampal mismatch signals modulated strength predictions their outcomes.J. 2016; 36: 12677-12687Crossref (22) 16.Xiao X. al.Transformed retrieval.J. 2017; 37: 2986-2998Crossref (24) 17.Favila S.E. features amplified flexibly aligned top-down goals.J. 38: 7809-7821Crossref (3) The implication only whether those perception, systematically underestimate amount, strength, qualities opinion article, emerging originally use idea transformation emphasize information: (i) different and, (ii) localization (or predictable) opposed random noise signal degradation (Figure 1). possibility has, date, overshadowed dominant note cognitive theories long argued constructive act than reproductive [18.Schacter D.L. neuroscience memory.Annu. Rev. Psychol. 1998; 49: 289-318Crossref Thus, strong motivation moving beyond measurements index degree resemble toward characterize sections describe supporting proposal avenues understanding perception-to-memory (spatial otherwise) represents logical, timely, next step field. reported most frequently particular. Early active demonstrating coarse-level modality vision versus audition). More recently, established increasingly fine-grained areas. numerous ventral reflect face object) reactivated Scholar,20.Ranganath C. al.Inferior temporal, prefrontal, contributions maintenance associative 2004; 3917-3925Crossref (251) 21.O'Craven K.M. Kanwisher N. Mental places activates regions.J. 12: 1013-1023Crossref (638) 22.Kuhl Further, V1) low-level location, frequency, edges, orientation, [23.Kosslyn al.Topographical primary cortex.Nature. 1995; 378: 496-498Crossref 24.Naselaris 25.Bone 26.Bosch al.Reinstatement signaled hippocampus.J. 7493-7500Crossref (62) common thread among examples Yet, results subtle, found scene-selective responses located meta-analysis over 100 functional magnetic resonance (fMRI) recruits relatively aspects parahippocampal place area (PPA), whereas retrieving anterior PPA [27.Baldassano al.Two distinct scene-processing networks connecting memory.eNeuro. 3 (ENEURO.0178-16.2016)Crossref unpublished study, striking dissociation was replicated paradigm directly within-subjects design Similar (perception) (memory shifts other areas, including occipital Scholar,28.Silson E.H. posterior–anterior distinction construction 39: 705-717Crossref Resting state fMRI analyses ventral, lateral, connectivity consistent supported segregated Scholar,27.Baldassano 28.Silson 29.Baldassano al.Differential area.NeuroImage. 75: 228-237Crossref (84) Related work suggested posterior-to-anterior division extends scenes, objects, outside network [30.Lee S.H. al.Disentangling real-world objects.NeuroImage. 59: 4064-4073Crossref (89) Scholar,31.Bainbridge W.A. al.Distinct representational structure recall imagery.bioRxiv. April 21, https://doi.org/10.1101/842120)Google Collectively, reveal shift system. Specifically, preferentially cortex, depending currently available receptors recalled long-term Importantly, fact system do perceived fundamentally inconsistent Moreover, highly (as degradation) regions. As such, strongly manner Though consistently applications pattern-based analysis robust, [5.Kuhl Scholar,7.Lee 3305-3

Language: Английский

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A network linking scene perception and spatial memory systems in posterior cerebral cortex

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: May 11, 2021

The neural systems supporting scene-perception and spatial-memory of the human brain are well-described. But how do these interact? Here, using fine-grained individual-subject fMRI, we report three cortical areas brain, each lying immediately anterior to a region scene perception network in posterior cerebral cortex, that selectively activate when recalling familiar real-world locations. Despite their close proximity areas, analyses show regions constitute distinct functional interfaces with spatial memory during naturalistic understanding. These "place-memory areas" offer new framework for understanding implements memory-guided visual behaviors, including navigation.

Language: Английский

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Distinct Representational Structure and Localization for Visual Encoding and Recall during Visual Imagery

Cerebral Cortex, Journal Year: 2020, Volume and Issue: 31(4), P. 1898 - 1913

Published: Oct. 14, 2020

Abstract During memory recall and visual imagery, reinstatement is thought to occur as an echoing of the neural patterns during encoding. However, precise information in these traces relatively unknown, with previous work primarily investigating either broad distinctions or specific images, rarely bridging levels information. Using ultra-high-field (7T) functional magnetic resonance imaging item-based task, we conducted in-depth comparison encoding along a spectrum granularity, from coarse (scenes, objects) mid (e.g., natural, manmade scenes) fine living room, cupcake) levels. In scanner, participants viewed trial-unique item, after distractor visually imagined initial item. encoding, observed decodable at all granularity category-selective cortex. contrast, was level fine-level some areas; there no evidence mid-level A closer look revealed segregation between voxels showing strongest effects those recall, peaks encoding–recall similarity extended anterior Collectively, results suggest not merely reactivation patterns, displaying different representational structure localization despite overlap.

Language: Английский

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Object representations in the human brain reflect the co-occurrence statistics of vision and language

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: July 2, 2021

Abstract A central regularity of visual perception is the co-occurrence objects in natural environment. Here we use machine learning and fMRI to test hypothesis that object statistics are encoded human system elicited by individual objects. We identified low-dimensional representations capture latent statistical structure real-world scenes, mapped these onto voxel-wise responses during viewing. found cortical single were predicted ensembles which they typically occur, this link between their contexts was made most strongly parahippocampal cortex, overlapping with anterior portion scene-selective place area. In contrast, a language-based model names written text neighboring regions object-selective cortex. Together, findings show sensory coding brain reflects context linguistic experience.

Language: Английский

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Perception and memory have distinct spatial tuning properties in human visual cortex

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Oct. 18, 2022

Abstract Reactivation of earlier perceptual activity is thought to underlie long-term memory recall. Despite evidence for this view, it unclear whether mnemonic exhibits the same tuning properties as feedforward activity. Here, we leverage population receptive field models parameterize fMRI in human visual cortex during spatial retrieval. Though retinotopic organization present both perception and memory, large systematic differences are also evident. Whereas there a three-fold decline precision from early late areas perception, pattern not observed This difference cannot be explained by reduced signal-to-noise or poor performance on trials. Instead, simulating top-down network model cortex, demonstrate that property well hierarchical structure system. Together, modeling empirical results suggest computational constraints imposed system architecture limit fidelity reactivation sensory cortex.

Language: Английский

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Distributed cortical regions for the recall of people, places and objects

eNeuro, Journal Year: 2025, Volume and Issue: unknown, P. ENEURO.0496 - 24.2024

Published: Jan. 2, 2025

Human medial parietal cortex (MPC) is recruited during multiple cognitive processes. Previously, we demonstrated regions specific to recall of people or places and proposed that the functional organization MPC mirrors category selectivity defining medial-lateral axis ventral temporal (VTC). However, prior work considered only VTC also shows object-selectivity sandwiched between face- scene-selective regions. Here, tested a strong prediction our proposal: like VTC, should show region specifically object recall, its relative cortical position mirror one VTC. While responses place showed striking replication findings, did not observe any evidence for object-recall effects within MPC, which differentiates it from spatial in Importantly, beyond robust recall-effects were observed people, places, objects on lateral surface brain. Place-recall present angular gyrus, frontal eye fields peripheral portions early visual cortex, whereas people-recall selectively drove response right posterior superior sulcus. Object largely restricted left somatosensory vicinity supramarginal gyrus. Taken together, these data demonstrate while there are distributed active objects, does but reflects most salient features - namely representations places. Significance statement Recently, framework interpreting by suggesting categorical preferences evident Because exhibits here extend this test whether recall. Robust found no mirror-copies each other. Together, suggest

Language: Английский

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