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Huang S, De Brigard F, Cabeza R, Davis SW. Connectivity analyses for task-based fMRI. Phys Life Rev 2024; 49:139-156. [PMID: 38728902 PMCID: PMC11116041 DOI: 10.1016/j.plrev.2024.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024]
Abstract
Functional connectivity is conventionally defined by measuring the similarity between brain signals from two regions. The technique has become widely adopted in the analysis of functional magnetic resonance imaging (fMRI) data, where it has provided cognitive neuroscientists with abundant information on how brain regions interact to support complex cognition. However, in the past decade the notion of "connectivity" has expanded in both the complexity and heterogeneity of its application to cognitive neuroscience, resulting in greater difficulty of interpretation, replication, and cross-study comparisons. In this paper, we begin with the canonical notions of functional connectivity and then introduce recent methodological developments that either estimate some alternative form of connectivity or extend the analytical framework, with the hope of bringing better clarity for cognitive neuroscience researchers.
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Affiliation(s)
- Shenyang Huang
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
| | - Felipe De Brigard
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States
| | - Roberto Cabeza
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States
| | - Simon W Davis
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States; Department of Neurology, Duke University School of Medicine, Durham, NC 27708, United States
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2
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Clancy KJ, Devignes Q, Ren B, Pollmann Y, Nielsen SR, Howell K, Kumar P, Belleau EL, Rosso IM. Spatiotemporal dynamics of hippocampal-cortical networks underlying the unique phenomenological properties of trauma-related intrusive memories. Mol Psychiatry 2024:10.1038/s41380-024-02486-9. [PMID: 38454081 DOI: 10.1038/s41380-024-02486-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 02/07/2024] [Accepted: 02/12/2024] [Indexed: 03/09/2024]
Abstract
Trauma-related intrusive memories (TR-IMs) possess unique phenomenological properties that contribute to adverse post-traumatic outcomes, positioning them as critical intervention targets. However, transdiagnostic treatments for TR-IMs are scarce, as their underlying mechanisms have been investigated separate from their unique phenomenological properties. Extant models of more general episodic memory highlight dynamic hippocampal-cortical interactions that vary along the anterior-posterior axis of the hippocampus (HPC) to support different cognitive-affective and sensory-perceptual features of memory. Extending this work into the unique properties of TR-IMs, we conducted a study of eighty-four trauma-exposed adults who completed daily ecological momentary assessments of TR-IM properties followed by resting-state functional magnetic resonance imaging (rs-fMRI). Spatiotemporal dynamics of anterior and posterior hippocampal (a/pHPC)-cortical networks were assessed using co-activation pattern analysis to investigate their associations with different properties of TR-IMs. Emotional intensity of TR-IMs was inversely associated with the frequency and persistence of an aHPC-default mode network co-activation pattern. Conversely, sensory features of TR-IMs were associated with more frequent co-activation of the HPC with sensory cortices and the ventral attention network, and the reliving of TR-IMs in the "here-and-now" was associated with more persistent co-activation of the pHPC and the visual cortex. Notably, no associations were found between HPC-cortical network dynamics and conventional symptom measures, including TR-IM frequency or retrospective recall, underscoring the utility of ecological assessments of memory properties in identifying their neural substrates. These findings provide novel insights into the neural correlates of the unique features of TR-IMs that are critical for the development of individualized, transdiagnostic treatments for this pervasive, difficult-to-treat symptom.
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Affiliation(s)
- Kevin J Clancy
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Quentin Devignes
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Boyu Ren
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Laboratory for Psychiatric Biostatistics, McLean Hospital, Belmont, MA, USA
| | - Yara Pollmann
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Sienna R Nielsen
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Kristin Howell
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Poornima Kumar
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Emily L Belleau
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Isabelle M Rosso
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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3
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Iriye H, Chancel M, Ehrsson HH. Sense of own body shapes neural processes of memory encoding and reinstatement. Cereb Cortex 2024; 34:bhad443. [PMID: 38012107 PMCID: PMC10793569 DOI: 10.1093/cercor/bhad443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/23/2023] [Indexed: 11/29/2023] Open
Abstract
How is the fundamental sense of one's body, a basic aspect of selfhood, incorporated into memories for events? Disrupting bodily self-awareness during encoding impairs functioning of the left posterior hippocampus during retrieval, which implies weakened encoding. However, how changes in bodily self-awareness influence neural encoding is unknown. We investigated how the sense of body ownership, a core aspect of the bodily self, impacts encoding in the left posterior hippocampus and additional core memory regions including the angular gyrus. Furthermore, we assessed the degree to which memories are reinstated according to body ownership during encoding and vividness during retrieval as a measure of memory strength. We immersed participants in naturalistic scenes where events unfolded while we manipulated feelings of body ownership with a full-body-illusion during functional magnetic resonance imaging scanning. One week later, participants retrieved memories for the videos during functional magnetic resonance imaging scanning. A whole brain analysis revealed that patterns of activity in regions including the right hippocampus and angular gyrus distinguished between events encoded with strong versus weak body ownership. A planned region-of-interest analysis showed that patterns of activity in the left posterior hippocampus specifically could predict body ownership during memory encoding. Using the wider network of regions sensitive to body ownership during encoding and the left posterior hippocampus as separate regions-of-interest, we observed that patterns of activity present at encoding were reinstated more during the retrieval of events encoded with strong body ownership and high memory vividness. Our results demonstrate how the sense of physical self is bound within an event during encoding, which facilitates reactivation of a memory trace during retrieval.
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Affiliation(s)
- Heather Iriye
- Department of Neuroscience, Karolinska Institutet, Stockholm SE 171-77, Sweden
| | - Marie Chancel
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LPNC, Grenoble 38000, France
| | - Henrik H Ehrsson
- Department of Neuroscience, Karolinska Institutet, Stockholm SE 171-77, Sweden
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4
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Hebscher M, Bainbridge WA, Voss JL. Neural similarity between overlapping events at learning differentially affects reinstatement across the cortex. Neuroimage 2023; 277:120220. [PMID: 37321360 PMCID: PMC10468827 DOI: 10.1016/j.neuroimage.2023.120220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/17/2023] Open
Abstract
Episodic memory often involves high overlap between the actors, locations, and objects of everyday events. Under some circumstances, it may be beneficial to distinguish, or differentiate, neural representations of similar events to avoid interference at recall. Alternatively, forming overlapping representations of similar events, or integration, may aid recall by linking shared information between memories. It is currently unclear how the brain supports these seemingly conflicting functions of differentiation and integration. We used multivoxel pattern similarity analysis (MVPA) of fMRI data and neural-network analysis of visual similarity to examine how highly overlapping naturalistic events are encoded in patterns of cortical activity, and how the degree of differentiation versus integration at encoding affects later retrieval. Participants performed an episodic memory task in which they learned and recalled naturalistic video stimuli with high feature overlap. Visually similar videos were encoded in overlapping patterns of neural activity in temporal, parietal, and occipital regions, suggesting integration. We further found that encoding processes differentially predicted later reinstatement across the cortex. In visual processing regions in occipital cortex, greater differentiation at encoding predicted later reinstatement. Higher-level sensory processing regions in temporal and parietal lobes showed the opposite pattern, whereby highly integrated stimuli showed greater reinstatement. Moreover, integration in high-level sensory processing regions during encoding predicted greater accuracy and vividness at recall. These findings provide novel evidence that encoding-related differentiation and integration processes across the cortex have divergent effects on later recall of highly similar naturalistic events.
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Affiliation(s)
- Melissa Hebscher
- Department of Neurology, University of Chicago, Chicago, IL 60637, USA.
| | - Wilma A Bainbridge
- Department of Psychology, University of Chicago, Chicago, IL 60637, USA; The Neuroscience Institute, University of Chicago, Chicago, IL 60637, USA
| | - Joel L Voss
- Department of Neurology, University of Chicago, Chicago, IL 60637, USA
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5
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Yan T, Wang G, Wang L, Liu T, Li T, Wang L, Chen D, Funahashi S, Wu J, Wang B, Suo D. Episodic memory in aspects of brain information transfer by resting-state network topology. Cereb Cortex 2022; 32:4969-4985. [PMID: 35174851 DOI: 10.1093/cercor/bhab526] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/19/2021] [Accepted: 12/20/2021] [Indexed: 12/27/2022] Open
Abstract
Cognitive functionality emerges due to neural interactions. The interregional signal interactions underlying episodic memory are a complex process. Thus, we need to quantify this process more accurately to understand how brain regions receive information from other regions. Studies suggest that resting-state functional connectivity (FC) conveys cognitive information; additionally, activity flow estimates the contribution of the source region to the activation pattern of the target region, thus decoding the cognitive information transfer. Therefore, we performed a combined analysis of task-evoked activation and resting-state FC voxel-wise by activity flow mapping to estimate the information transfer pattern of episodic memory. We found that the cinguloopercular (CON), frontoparietal (FPN) and default mode networks (DMNs) were the most recruited structures in information transfer. The patterns and functions of information transfer differed between encoding and retrieval. Furthermore, we found that information transfer was a better predictor of memory ability than previous methods. Additional analysis indicated that structural connectivity (SC) had a transportive role in information transfer. Finally, we present the information transfer mechanism of episodic memory from multiple neural perspectives. These findings suggest that information transfer is a better biological indicator that accurately describes signal communication in the brain and strongly influences the function of episodic memory.
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Affiliation(s)
- Tianyi Yan
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Gongshu Wang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Li Wang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Tiantian Liu
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Ting Li
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Luyao Wang
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing 100081, China
| | - Duanduan Chen
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Shintaro Funahashi
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
| | - Jinglong Wu
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing 100081, China.,Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China.,International Joint Research Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China
| | - Bin Wang
- Department of Information and Computer, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
| | - Dingjie Suo
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
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6
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Cooper RA, Ritchey M. Patterns of episodic content and specificity predicting subjective memory vividness. Mem Cognit 2022; 50:1629-1643. [PMID: 35246786 DOI: 10.3758/s13421-022-01291-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/10/2022] [Indexed: 12/30/2022]
Abstract
The ability to remember and internally represent events is often accompanied by a subjective sense of "vividness". Vividness measures are frequently used to evaluate the experience of remembering and imagining events, yet little research has considered the objective attributes of event memories that underlie this subjective judgment, and individual differences in this mapping. Here, we tested how the content and specificity of event memories support subjectively vivid recollection. Over three experiments, participants encoded events containing a theme word and three distinct elements - a person, a place, and an object. In a memory test, memory for event elements was assessed at two levels of specificity - semantic gist (names) and perceptual details (lure discrimination). We found a strong correspondence between memory vividness and memory for gist information that did not vary by which elements were contained in memory. There was a smaller, additive benefit of remembering specific perceptual details on vividness, which, in one study, was driven by memory for place details. Moreover, we found individual differences in the relationship between memory vividness and objective memory attributes primarily along the specificity dimension, such that one cluster of participants used perceptual detail to inform memory vividness whereas another cluster was more driven by gist information. Therefore, while gist memory appears to drive vividness on average, there were idiosyncrasies in this pattern across participants. When assessing subjective ratings of memory and imagination, research should consider how these ratings map onto objective memory attributes in the context of their study design and population.
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Affiliation(s)
- Rose A Cooper
- Department of Psychology, Northeastern University, Boston, MA, USA.
- Roux Institute, Northeastern University, Boston, MA, USA.
| | - Maureen Ritchey
- Department of Psychology and Neuroscience, Boston College, Boston, MA, USA
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7
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Bainbridge WA, Baker CI. Multidimensional memory topography in the medial parietal cortex identified from neuroimaging of thousands of daily memory videos. Nat Commun 2022; 13:6508. [PMID: 36316315 PMCID: PMC9622880 DOI: 10.1038/s41467-022-34075-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Our memories form a tapestry of events, people, and places, woven across the decades of our lives. However, research has often been limited in assessing the nature of episodic memory by using artificial stimuli and short time scales. The explosion of social media enables new ways to examine the neural representations of naturalistic episodic memories, for features like the memory's age, location, memory strength, and emotions. We recruited 23 users of a video diary app ("1 s Everyday"), who had recorded 9266 daily memory videos spanning up to 7 years. During a 3 T fMRI scan, participants viewed 300 of their memory videos intermixed with 300 from another individual. We find that memory features are tightly interrelated, highlighting the need to test them in conjunction, and discover a multidimensional topography in medial parietal cortex, with subregions sensitive to a memory's age, strength, and the familiarity of the people and places involved.
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Affiliation(s)
- Wilma A. Bainbridge
- grid.170205.10000 0004 1936 7822Department of Psychology, University of Chicago, Chicago, IL USA ,grid.170205.10000 0004 1936 7822Neuroscience Institute, University of Chicago, Chicago, IL USA
| | - Chris I. Baker
- grid.416868.50000 0004 0464 0574Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD USA
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8
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Yan Y, Hulbert JC, Zhuang K, Liu W, Wei D, Qiu J, Anderson MC, Yang W. Reduced hippocampal-cortical connectivity during memory suppression predicts the ability to forget unwanted memories. Cereb Cortex 2022; 33:4189-4201. [PMID: 36156067 PMCID: PMC10110427 DOI: 10.1093/cercor/bhac336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
The ability to suppress unwelcome memories is important for productivity and well-being. Successful memory suppression is associated with hippocampal deactivations and a concomitant disruption of this region's functionality. Much of the previous neuroimaging literature exploring such suppression-related hippocampal modulations has focused on the region's negative coupling with the prefrontal cortex. Task-based changes in functional connectivity between the hippocampus and other brain regions still need further exploration. In the present study, we utilize psychophysiological interactions and seed connectome-based predictive modeling to investigate the relationship between the hippocampus and the rest of the brain as 134 participants attempted to suppress unwanted memories during the Think/No-Think task. The results show that during retrieval suppression, the right hippocampus exhibited decreased functional connectivity with visual cortical areas (lingual and cuneus gyrus), left nucleus accumbens and the brain-stem that predicted superior forgetting of unwanted memories on later memory tests. Validation tests verified that prediction performance was not an artifact of head motion or prediction method and that the negative features remained consistent across different brain parcellations. These findings suggest that systemic memory suppression involves more than the modulation of hippocampal activity-it alters functional connectivity patterns between the hippocampus and visual cortex, leading to successful forgetting.
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Affiliation(s)
- Yuchi Yan
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, No. 2 TianSheng Road, Beibei District, Chongqing 400715, China.,Faculty of Psychology, Southwest University (SWU), No. 2 TianShen Road, Beibei District, Chongqing 400715, China
| | - Justin C Hulbert
- Psychology Program, Bard College, PO Box 5000, Annandale-on-Hudson, New York 12504, United States
| | - Kaixiang Zhuang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, No. 2 TianSheng Road, Beibei District, Chongqing 400715, China.,Faculty of Psychology, Southwest University (SWU), No. 2 TianShen Road, Beibei District, Chongqing 400715, China
| | - Wei Liu
- School of Psychology, Central China Normal University (CCNU), No. 152 Luoyu Road, Hongshan, Wuhan 430079, China
| | - Dongtao Wei
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, No. 2 TianSheng Road, Beibei District, Chongqing 400715, China.,Faculty of Psychology, Southwest University (SWU), No. 2 TianShen Road, Beibei District, Chongqing 400715, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, No. 2 TianSheng Road, Beibei District, Chongqing 400715, China.,Faculty of Psychology, Southwest University (SWU), No. 2 TianShen Road, Beibei District, Chongqing 400715, China
| | - Michael C Anderson
- MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF, United Kingdom
| | - Wenjing Yang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, No. 2 TianSheng Road, Beibei District, Chongqing 400715, China.,Faculty of Psychology, Southwest University (SWU), No. 2 TianShen Road, Beibei District, Chongqing 400715, China
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9
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Bo O'Connor B, Fowler Z. How Imagination and Memory Shape the Moral Mind. PERSONALITY AND SOCIAL PSYCHOLOGY REVIEW 2022; 27:226-249. [PMID: 36062349 DOI: 10.1177/10888683221114215] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Interdisciplinary research has proposed a multifaceted view of human cognition and morality, establishing that inputs from multiple cognitive and affective processes guide moral decisions. However, extant work on moral cognition has largely overlooked the contributions of episodic representation. The ability to remember or imagine a specific moment in time plays a broadly influential role in cognition and behavior. Yet, existing research has only begun exploring the influence of episodic representation on moral cognition. Here, we evaluate the theoretical connections between episodic representation and moral cognition, review emerging empirical work revealing how episodic representation affects moral decision-making, and conclude by highlighting gaps in the literature and open questions. We argue that a comprehensive model of moral cognition will require including the episodic memory system, further delineating its direct influence on moral thought, and better understanding its interactions with other mental processes to fundamentally shape our sense of right and wrong.
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Affiliation(s)
| | - Zoë Fowler
- University at Albany, State University of New York, USA
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10
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Matyi MA, Spielberg JM. The structural brain network topology of episodic memory. PLoS One 2022; 17:e0270592. [PMID: 35749536 PMCID: PMC9232126 DOI: 10.1371/journal.pone.0270592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/13/2022] [Indexed: 11/20/2022] Open
Abstract
Episodic memory is supported by a distributed network of brain regions, and this complex network of regions does not operate in isolation. To date, neuroscience research in this area has typically focused on the activation levels in specific regions or pairwise connectivity between such regions. However, research has yet to investigate how the complex interactions of structural brain networks influence episodic memory abilities. We applied graph theory methods to diffusion-based anatomical networks in order to examine the structural architecture of the medial temporal lobe needed to support effective episodic memory functioning. We examined the relationship between performance on tests of verbal and non-verbal episodic memory with node strength, which indexes how well connected a brain region is in the network. Findings mapped onto the Posterior Medial memory system, subserved by the parahippocampal cortex and overlapped with findings of previous studies of episodic memory employing different methodologies. This expands our current understanding by providing independent evidence for the importance of identified regions and suggesting the particular manner in which these regions support episodic memory.
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Affiliation(s)
- Melanie A. Matyi
- Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, United States of America
- * E-mail:
| | - Jeffrey M. Spielberg
- Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, United States of America
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11
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Missing links: The functional unification of language and memory (L∪M). Neurosci Biobehav Rev 2021; 133:104489. [PMID: 34929226 DOI: 10.1016/j.neubiorev.2021.12.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 11/14/2021] [Accepted: 12/07/2021] [Indexed: 10/19/2022]
Abstract
The field of neurocognition is currently undergoing a significant change of perspective. Traditional neurocognitive models evolved into an integrative and dynamic vision of cognitive functioning. Dynamic integration assumes an interaction between cognitive domains traditionally considered to be distinct. Language and declarative memory are regarded as separate functions supported by different neural systems. However, they also share anatomical structures (notably, the inferior frontal gyrus, the supplementary motor area, the superior and middle temporal gyrus, and the hippocampal complex) and cognitive processes (such as semantic and working memory) that merge to endorse our quintessential daily lives. We propose a new model, "L∪M" (i.e., Language/union/Memory), that considers these two functions interactively. We fractionated language and declarative memory into three fundamental dimensions or systems ("Receiver-Transmitter", "Controller-Manager" and "Transformer-Associative" Systems), that communicate reciprocally. We formalized their interactions at the brain level with a connectivity-based approach. This new taxonomy overcomes the modular view of cognitive functioning and reconciles functional specialization with plasticity in neurological disorders.
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12
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Simons JS, Ritchey M, Fernyhough C. Brain Mechanisms Underlying the Subjective Experience of Remembering. Annu Rev Psychol 2021; 73:159-186. [PMID: 34587777 DOI: 10.1146/annurev-psych-030221-025439] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The ability to remember events in vivid, multisensory detail is a significant part of human experience, allowing us to relive previous encounters and providing us with the store of memories that shape our identity. Recent research has sought to understand the subjective experience of remembering, that is, what it feels like to have a memory. Such remembering involves reactivating sensory-perceptual features of an event and the thoughts and feelings we had when the event occurred, integrating them into a conscious first-person experience. It allows us to reflect on the content of our memories and to understand and make judgments about them, such as distinguishing events that actually occurred from those we might have imagined or been told about. In this review, we consider recent evidence from functional neuroimaging in healthy participants and studies of neurological and psychiatric conditions, which is shedding new light on how we subjectively experience remembering. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Jon S Simons
- Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom;
| | - Maureen Ritchey
- Department of Psychology and Neuroscience, Boston College, Chestnut Hill, Massachusetts 02467, USA
| | - Charles Fernyhough
- Department of Psychology, Durham University, Durham DH1 3LE, United Kingdom
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13
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Within-Trial Persistence of Learned Behavior as a Dissociable Behavioral Component in Hippocampus-Dependent Memory Tasks: A Potential Postlearning Role of Immature Neurons in the Adult Dentate Gyrus. eNeuro 2021; 8:ENEURO.0195-21.2021. [PMID: 34281981 PMCID: PMC8387154 DOI: 10.1523/eneuro.0195-21.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/17/2021] [Accepted: 06/21/2021] [Indexed: 12/20/2022] Open
Abstract
The term “memory strength” generally refers to how well one remembers something. But more precisely it contains multiple modalities, such as how easily, how accurately, how confidently and how vividly we remember it. In human, these modalities of memory strength are dissociable. In this study, we asked whether we can isolate a behavioral component that is dissociable from others in hippocampus-dependent memory tasks in mice, which potentially reflect a modality of memory strength. Using a virus-mediated inducible method, we ablated immature neurons in the dentate gyrus in mice after we trained the mice with hippocampus-dependent memory tasks normally. In memory retrieval tests, these ablated mice initially showed intact performance. However, the ablated mice ceased learned behavior prematurely within a trial compared with control mice. In addition, the ablated mice showed shorter duration of individual episodes of learned behavior. Both affected behavioral measurements point to persistence of learned behavior. Thus, the effect of the postlearning manipulation showed dissociation between initial performance and persistence of learned behavior. These two behavioral components are likely to reflect different brain functions and be mediated by separate mechanisms, which might represent different modalities of memory strength. These simple dissociable measurements in widely used behavioral paradigms would be useful to understand detailed mechanisms underlying the expression of learned behavior and potentially different modalities of memory strength in mice. We also discuss a potential role that immature neurons in the dentate gyrus may play in persistence of learned behavior.
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14
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Wang R, Liu M, Cheng X, Wu Y, Hildebrandt A, Zhou C. Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities. Proc Natl Acad Sci U S A 2021; 118:e2022288118. [PMID: 34074762 PMCID: PMC8201916 DOI: 10.1073/pnas.2022288118] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Diverse cognitive processes set different demands on locally segregated and globally integrated brain activity. However, it remains an open question how resting brains configure their functional organization to balance the demands on network segregation and integration to best serve cognition. Here we use an eigenmode-based approach to identify hierarchical modules in functional brain networks and quantify the functional balance between network segregation and integration. In a large sample of healthy young adults (n = 991), we combine the whole-brain resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on the structural network derived from diffusion tensor imaging and demonstrate that resting brain networks are on average close to a balanced state. This state allows for a balanced time dwelling at segregated and integrated configurations and highly flexible switching between them. Furthermore, we employ structural equation modeling to estimate general and domain-specific cognitive phenotypes from nine tasks and demonstrate that network segregation, integration, and their balance in resting brains predict individual differences in diverse cognitive phenotypes. More specifically, stronger integration is associated with better general cognitive ability, stronger segregation fosters crystallized intelligence and processing speed, and an individual's tendency toward balance supports better memory. Our findings provide a comprehensive and deep understanding of the brain's functioning principles in supporting diverse functional demands and cognitive abilities and advance modern network neuroscience theories of human cognition.
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Affiliation(s)
- Rong Wang
- College of Science, Xi'an University of Science and Technology, Xi'an 710054, China
- Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong
- School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China
- State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China
| | - Mianxin Liu
- Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong
- School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China
| | - Xinhong Cheng
- College of Science, Xi'an University of Science and Technology, Xi'an 710054, China
| | - Ying Wu
- School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China
- State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China
- National Demonstration Center for Experimental Mechanics Education, Xi'an Jiaotong University, Xi'an 710049, China
| | - Andrea Hildebrandt
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany;
- Research Center Neurosensory Science, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany
| | - Changsong Zhou
- Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong;
- Department of Physics, Zhejiang University, Hangzhou 310027, China
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15
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Age-related dedifferentiation and hyperdifferentiation of perceptual and mnemonic representations. Neurobiol Aging 2021; 106:55-67. [PMID: 34246857 DOI: 10.1016/j.neurobiolaging.2021.05.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 05/29/2021] [Accepted: 05/30/2021] [Indexed: 12/14/2022]
Abstract
Preliminary evidence indicates that occipito-temporal activation patterns for different visual stimuli are less distinct in older (OAs) than younger (YAs) adults, suggesting a dedifferentiation of visual representations with aging. Yet, it is unclear if this deficit (1) affects only sensory or also categorical aspects of representations during visual perception (perceptual representations), and (2) affects only perceptual or also mnemonic representations. To investigate these issues, we fMRI-scanned YAs and OAs viewing and then remembering visual scenes. First, using representational similarity analyses, we distinguished sensory vs. categorical features of perceptual representations. We found that, compared to YAs, sensory features in early visual cortex were less differentiated in OAs (i.e., age-related dedifferentiation), replicating previous research, whereas categorical features in anterior temporal lobe (ATL) were more differentiated in OAs. This is, to our knowledge, the first report of an age-related hyperdifferentiation. Second, we assessed the quality of mnemonic representations by measuring encoding-retrieval similarity (ERS) in activation patterns. We found that aging impaired mnemonic representations in early visual cortex and hippocampus but enhanced mnemonic representations in ATL. Thus, both perceptual and mnemonic representations in ATL were enhanced by aging. In sum, our findings suggest that aging impairs visual and mnemonic representations in posterior brain regions but enhances them in anterior regions.
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16
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Sheng X, Chen H, Shao P, Qin R, Zhao H, Xu Y, Bai F. Brain Structural Network Compensation Is Associated With Cognitive Impairment and Alzheimer's Disease Pathology. Front Neurosci 2021; 15:630278. [PMID: 33716654 PMCID: PMC7947929 DOI: 10.3389/fnins.2021.630278] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/26/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Structural network alterations in Alzheimer's disease (AD) are related to worse cognitive impairment. The aim of this study was to quantify the alterations in gray matter associated with impaired cognition and their pathological biomarkers in AD-spectrum patients. METHODS We extracted gray matter networks from 3D-T1 magnetic resonance imaging scans, and a graph theory analysis was used to explore alterations in the network metrics in 34 healthy controls, 70 mild cognitive impairment (MCI) patients, and 40 AD patients. Spearman correlation analysis was computed to investigate the relationships among network properties, neuropsychological performance, and cerebrospinal fluid pathological biomarkers (i.e., Aβ, t-tau, and p-tau) in these subjects. RESULTS AD-spectrum individuals demonstrated higher nodal properties and edge properties associated with impaired memory function, and lower amyloid-β or higher tau levels than the controls. Furthermore, these compensations at the brain regional level in AD-spectrum patients were mainly in the medial temporal lobe; however, the compensation at the whole-brain network level gradually extended from the frontal lobe to become widely distributed throughout the cortex with the progression of AD. CONCLUSION The findings provide insight into the alterations in the gray matter network related to impaired cognition and pathological biomarkers in the progression of AD. The possibility of compensation was detected in the structural networks in AD-spectrum patients; the compensatory patterns at regional and whole-brain levels were different and the clinical significance was highlighted.
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Affiliation(s)
- Xiaoning Sheng
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Haifeng Chen
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Pengfei Shao
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Ruomeng Qin
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Hui Zhao
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Feng Bai
- Department of Neurology, Affiliated Drum Tower Hospital of Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
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17
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Deng L, Stanley ML, Monge ZA, Wing EA, Geib BR, Davis SW, Cabeza R. Age-Related Compensatory Reconfiguration of PFC Connections during Episodic Memory Retrieval. Cereb Cortex 2021; 31:717-730. [PMID: 32710101 DOI: 10.1093/cercor/bhaa192] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 06/18/2020] [Accepted: 06/19/2020] [Indexed: 11/14/2022] Open
Abstract
During demanding cognitive tasks, older adults (OAs) frequently show greater prefrontal cortex (PFC) activity than younger adults (YAs). This age-related increase in PFC activity is often associated with enhanced cognitive performance, suggesting functional compensation. However, the brain is a complex network of interconnected regions, and it is unclear how network connectivity of PFC regions differs for OAs versus YAs. To investigate this, we examined the age-related difference on the functional brain networks mediating episodic memory retrieval. YAs and OAs participants encoded and recalled visual scenes, and age-related differences in network topology during memory retrieval were investigated as a function of memory performance. We measured both changes in functional integration and reconfiguration in connectivity patterns. The study yielded three main findings. First, PFC regions were more functionally integrated with the rest of the brain network in OAs. Critically, this age-related increase in PFC integration was associated with better retrieval performance. Second, PFC regions showed stronger performance-related reconfiguration of connectivity patterns in OAs. Finally, the PFC reconfiguration increases in OAs tracked reconfiguration reductions in the medial temporal lobe (MTL)-a core episodic memory region, suggesting that PFC connectivity in OAs may be compensating for MTL deficits.
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Affiliation(s)
- Lifu Deng
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Mathew L Stanley
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Zachary A Monge
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Erik A Wing
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA.,The Rotman Research Institute at Baycrest, Toronto, ON M6A 2E1, Canada
| | - Benjamin R Geib
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Simon W Davis
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Neurology, Duke University, Durham, NC 27710, USA
| | - Roberto Cabeza
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
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18
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Evensmoen HR, Rimol LM, Winkler AM, Betzel R, Hansen TI, Nili H, Håberg A. Allocentric representation in the human amygdala and ventral visual stream. Cell Rep 2021; 34:108658. [PMID: 33472067 DOI: 10.1016/j.celrep.2020.108658] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 10/01/2020] [Accepted: 12/21/2020] [Indexed: 12/27/2022] Open
Abstract
The hippocampus and the entorhinal cortex are considered the main brain structures for allocentric representation of the external environment. Here, we show that the amygdala and the ventral visual stream are involved in allocentric representation. Thirty-one young men explored 35 virtual environments during high-resolution functional magnetic resonance imaging (fMRI) of the medial temporal lobe (MTL) and were subsequently tested on recall of the allocentric pattern of the objects in each environment-in other words, the positions of the objects relative to each other and to the outer perimeter. We find increasingly unique brain activation patterns associated with increasing allocentric accuracy in distinct neural populations in the perirhinal cortex, parahippocampal cortex, fusiform cortex, amygdala, hippocampus, and entorhinal cortex. In contrast to the traditional view of a hierarchical MTL network with the hippocampus at the top, we demonstrate, using recently developed graph analyses, a hierarchical allocentric MTL network without a main connector hub.
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Affiliation(s)
- Hallvard Røe Evensmoen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), 7489 Trondheim, Norway; Department of Medical Imaging, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
| | - Lars M Rimol
- Department of Psychology, NTNU, 7489 Trondheim, Norway
| | - Anderson M Winkler
- National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Richard Betzel
- Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - Tor Ivar Hansen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), 7489 Trondheim, Norway
| | - Hamed Nili
- Department of Experimental Psychology, University of Oxford, South Parks Road, OX1 3UD Oxford, UK
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), 7489 Trondheim, Norway; Department of Medical Imaging, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
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19
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Grady CL, Rieck JR, Nichol D, Garrett DD. Functional Connectivity within and beyond the Face Network Is Related to Reduced Discrimination of Degraded Faces in Young and Older Adults. Cereb Cortex 2020; 30:6206-6223. [DOI: 10.1093/cercor/bhaa179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/08/2020] [Accepted: 05/26/2020] [Indexed: 11/14/2022] Open
Abstract
Abstract
Degrading face stimuli reduces face discrimination in both young and older adults, but the brain correlates of this decline in performance are not fully understood. We used functional magnetic resonance imaging to examine the effects of degraded face stimuli on face and nonface brain networks and tested whether these changes would predict the linear declines seen in performance. We found decreased activity in the face network (FN) and a decrease in the similarity of functional connectivity (FC) in the FN across conditions as degradation increased but no effect of age. FC in whole-brain networks also changed with increasing degradation, including increasing FC between the visual network and cognitive control networks. Older adults showed reduced modulation of this whole-brain FC pattern. The strongest predictors of within-participant decline in accuracy were changes in whole-brain network FC and FC similarity of the FN. There was no influence of age on these brain-behavior relations. These results suggest that a systems-level approach beyond the FN is required to understand the brain correlates of performance decline when faces are obscured with noise. In addition, the association between brain and behavior changes was maintained into older age, despite the dampened FC response to face degradation seen in older adults.
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Affiliation(s)
- Cheryl L Grady
- Rotman Research Institute, Baycrest, Toronto, ON M6A2E1, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, ON, Canada
| | - Jenny R Rieck
- Rotman Research Institute, Baycrest, Toronto, ON M6A2E1, Canada
| | - Daniel Nichol
- Rotman Research Institute, Baycrest, Toronto, ON M6A2E1, Canada
| | - Douglas D Garrett
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Berlin, Germany
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20
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Ritchey M, Cooper RA. Deconstructing the Posterior Medial Episodic Network. Trends Cogn Sci 2020; 24:451-465. [PMID: 32340798 DOI: 10.1016/j.tics.2020.03.006] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/20/2020] [Accepted: 03/22/2020] [Indexed: 01/12/2023]
Abstract
Our ability to remember or imagine specific events involves the construction of complex mental representations, a process that engages cortical and hippocampal regions in a core posterior medial (PM) brain network. Existing theoretical approaches have described the overarching contributions of the PM network, but less is known about how episodic content is represented and transformed throughout this system. Here, we review evidence of key functional interactions among PM regions and their relation to the core cognitive operations and representations supporting episodic construction. Recent demonstrations of intranetwork functional diversity are integrated with existing accounts to inform a network-based model of episodic construction, in which PM regions flexibly share and manipulate event information to support the variable phenomenology of episodic memory and simulation.
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Affiliation(s)
- Maureen Ritchey
- Department of Psychology and Neuroscience, Boston College, 300 McGuinn Hall, 140 Commonwealth Ave, Chestnut Hill, MA 02467, USA.
| | - Rose A Cooper
- Department of Psychology and Neuroscience, Boston College, 300 McGuinn Hall, 140 Commonwealth Ave, Chestnut Hill, MA 02467, USA.
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21
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Miller TD, Chong TTJ, Aimola Davies AM, Johnson MR, Irani SR, Husain M, Ng TWC, Jacob S, Maddison P, Kennard C, Gowland PA, Rosenthal CR. Human hippocampal CA3 damage disrupts both recent and remote episodic memories. eLife 2020; 9:e41836. [PMID: 31976861 PMCID: PMC6980860 DOI: 10.7554/elife.41836] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 12/05/2019] [Indexed: 12/31/2022] Open
Abstract
Neocortical-hippocampal interactions support new episodic (event) memories, but there is conflicting evidence about the dependence of remote episodic memories on the hippocampus. In line with systems consolidation and computational theories of episodic memory, evidence from model organisms suggests that the cornu ammonis 3 (CA3) hippocampal subfield supports recent, but not remote, episodic retrieval. In this study, we demonstrated that recent and remote memories were susceptible to a loss of episodic detail in human participants with focal bilateral damage to CA3. Graph theoretic analyses of 7.0-Tesla resting-state fMRI data revealed that CA3 damage disrupted functional integration across the medial temporal lobe (MTL) subsystem of the default network. The loss of functional integration in MTL subsystem regions was predictive of autobiographical episodic retrieval performance. We conclude that human CA3 is necessary for the retrieval of episodic memories long after their initial acquisition and functional integration of the default network is important for autobiographical episodic memory performance.
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Affiliation(s)
- Thomas D Miller
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
- Department of NeurologyRoyal Free HospitalLondonUnited Kingdom
| | - Trevor T-J Chong
- Monash Institute of Cognitive and Clinical NeurosciencesMonash UniversityClaytonAustralia
| | - Anne M Aimola Davies
- Department of Experimental PsychologyUniversity of OxfordOxfordUnited Kingdom
- Research School of PsychologyAustralian National UniversityCanberraAustralia
| | - Michael R Johnson
- Division of Brain SciencesImperial College LondonLondonUnited Kingdom
| | - Sarosh R Irani
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
| | - Masud Husain
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
- Department of Experimental PsychologyUniversity of OxfordOxfordUnited Kingdom
| | - Tammy WC Ng
- Department of AnaesthesticsRoyal Free HospitalLondonUnited Kingdom
| | - Saiju Jacob
- Neurology Department, Queen Elizabeth Neuroscience CentreUniversity Hospitals of BirminghamBirminghamUnited Kingdom
| | - Paul Maddison
- Neurology DepartmentQueen’s Medical CentreNottinghamUnited Kingdom
| | - Christopher Kennard
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
| | - Penny A Gowland
- Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUnited Kingdom
| | - Clive R Rosenthal
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
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22
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Ekstrom AD, Yonelinas AP. Precision, binding, and the hippocampus: Precisely what are we talking about? Neuropsychologia 2020; 138:107341. [PMID: 31945386 DOI: 10.1016/j.neuropsychologia.2020.107341] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 11/22/2019] [Accepted: 01/11/2020] [Indexed: 02/05/2023]
Abstract
Endel Tulving's proposal that episodic memory is distinct from other memory systems like semantic memory remains an extremely influential idea in cognitive neuroscience research. As originally suggested by Tulving, episodic memory involves three key components that differentiate it from all other memory systems: spatiotemporal binding, mental time travel, and autonoetic consciousness. Here, we focus on the idea of spatiotemporal binding in episodic memory and, in particular, how consideration of the precision of spatiotemporal context helps expand our understanding of episodic memory. Precision also helps shed light on another key issue in cognitive neuroscience, the role of the hippocampus outside of episodic memory in perception, attention, and working memory. By considering precision alongside item-context bindings, we attempt to shed new light on both the nature of how we represent context and what roles the hippocampus plays in episodic memory and beyond.
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Affiliation(s)
- Arne D Ekstrom
- Department of Psychology, University of Arizona, 1503 E. University Blvd., Tucson, AZ, 85721, USA; Evelyn McKnight Brain Institute, University of Arizona, 1503 E. University Blvd., Tucson, AZ, 85721, USA.
| | - Andrew P Yonelinas
- Center for Neuroscience, University of California, Davis, 1 Shields Ave, Davis, CA, 95618, USA; Department of Psychology, University of California, Davis, 1 Shields Ave, Davis, CA, 95618, USA.
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23
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Becker N, Kalpouzos G, Salami A, Laukka EJ, Brehmer Y. Structure-function associations of successful associative encoding. Neuroimage 2019; 201:116020. [DOI: 10.1016/j.neuroimage.2019.116020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 07/07/2019] [Accepted: 07/12/2019] [Indexed: 11/25/2022] Open
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24
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Fjell AM, Sneve MH, Sederevicius D, Sørensen Ø, Krogsrud SK, Mowinckel AM, Walhovd KB. Volumetric and microstructural regional changes of the hippocampus underlying development of recall performance after extended retention intervals. Dev Cogn Neurosci 2019; 40:100723. [PMID: 31678691 PMCID: PMC6974909 DOI: 10.1016/j.dcn.2019.100723] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 10/10/2019] [Accepted: 10/19/2019] [Indexed: 01/12/2023] Open
Abstract
Unique developmental effects on recall over days rather than minutes. Development of visual recall explainable by visuo-constructive ability. Development of verbal recall not explained by verbal ability. Modest relationships between recall performance and hippocampus structure.
Performance on recall tests improves through childhood and adolescence, in part due to structural maturation of the medial temporal cortex. Although partly different processes support successful recall over shorter vs. longer intervals, recall is usually tested after less than an hour. The aim of the present study was to test whether there are unique developmental changes in recall performance using extended retention intervals, and whether these are related to structural maturation of sub-regions of the hippocampus. 650 children and adolescents from 4.1 to 24.8 years were assessed in total 962 times (mean interval ≈ 1.8 years). The California Verbal Learning Test (CVLT) and the Rey Complex Figure Test (CFT) were used. Recall was tested 30 min and ≈ 10 days after encoding. We found unique developmental effects on recall in the extended retention interval condition independently of 30 min recall performance. For CVLT, major improvements happened between 10 and 15 years. For CFT, improvement was linear and was accounted for by visuo-constructive abilities. The relationships did not show anterior-posterior hippocampal axis differences. In conclusion, performance on recall tests using extended retention intervals shows unique development, likely due to changes in encoding depth or efficacy, or improvements of long-term consolidation processes.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Markus H Sneve
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | | | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | - Stine K Krogsrud
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | | | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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25
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Schedlbauer AM, Ekstrom AD. Flexible network community organization during the encoding and retrieval of spatiotemporal episodic memories. Netw Neurosci 2019; 3:1070-1093. [PMID: 31637339 PMCID: PMC6777981 DOI: 10.1162/netn_a_00102] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 06/24/2019] [Indexed: 01/22/2023] Open
Abstract
Memory encoding and retrieval involve distinct interactions between multiple brain areas, yet the flexible structure of corresponding large-scale networks during such memory processing remains unclear. Using functional magnetic resonance imaging, we employed a spatiotemporal encoding and retrieval task, detecting functional community structure across the multiple components of our task. Consistent with past work, we identified a set of stable subnetworks, mostly belonging to primary motor and sensory cortices but also identified a subset of flexible hubs, mostly belonging to higher association areas. These “mover” hubs changed connectivity patterns across spatial and temporal memory encoding and retrieval, engaging in an integrative role within the network. Global encoding network and subnetwork dissimilarity predicted retrieval performance. Together, our findings emphasize the importance of flexible network allegiance among some hubs and the importance of network reconfiguration to human episodic memory. The degree to which task-related functional connectivity patterns remain stable or are dynamic when people learn and remember information remains largely untested. We investigated this issue by collecting fMRI while participants performed a memory encoding and retrieval task. Our results suggested that subnetworks are dynamic and tend to fragment relative to a resting-state network partition. From these changes in connectivity, we identified a subset of “movers,” or in other words, nodes that changed their allegiance to subnetworks across all aspects of the task. These findings emphasize that memory is a dynamic process involving changes in task-related functional connectivity across the brain.
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Affiliation(s)
| | - Arne D Ekstrom
- Neuroscience Graduate Group, University of California, Davis, CA, USA
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26
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Sekeres MJ, Winocur G, Moscovitch M, Anderson JAE, Pishdadian S, Martin Wojtowicz J, St-Laurent M, McAndrews MP, Grady CL. Changes in patterns of neural activity underlie a time-dependent transformation of memory in rats and humans. Hippocampus 2019; 28:745-764. [PMID: 29989271 DOI: 10.1002/hipo.23009] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 06/25/2018] [Accepted: 06/29/2018] [Indexed: 11/06/2022]
Abstract
The dynamic process of memory consolidation involves a reorganization of brain regions that support a memory trace over time, but exactly how the network reorganizes as the memory changes remains unclear. We present novel converging evidence from studies of animals (rats) and humans for the time-dependent reorganization and transformation of different types of memory as measured both by behavior and brain activation. We find that context-specific memories in rats, and naturalistic episodic memories in humans, lose precision over time and activity in the hippocampus decreases. If, however, the retrieved memories retain contextual or perceptual detail, the hippocampus is engaged similarly at recent and remote timepoints. As the interval between the timepoint increases, the medial prefrontal cortex is engaged increasingly during memory retrieval, regardless of the context or the amount of retrieved detail. Moreover, these hippocampal-frontal shifts are accompanied by corresponding changes in a network of cortical structures mediating perceptually-detailed as well as less precise, schematic memories. These findings provide cross-species evidence for the crucial interplay between hippocampus and neocortex that reflects changes in memory representation over time and underlies systems consolidation.
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Affiliation(s)
- Melanie J Sekeres
- Rotman Research Institute, Toronto, Ontario, Canada.,Department of Psychology and Neuroscience, Department of Biology, Baylor University, Waco, Texas.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Gordon Winocur
- Rotman Research Institute, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Department of Psychology, Trent University, Peterborough, Ontario, Canada
| | - Morris Moscovitch
- Rotman Research Institute, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychology, Baycrest, Toronto, Ontario, Canada
| | - John A E Anderson
- Rotman Research Institute, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychology, York University, Toronto, Ontario, Canada
| | - Sara Pishdadian
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychology, York University, Toronto, Ontario, Canada
| | - J Martin Wojtowicz
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | | | - Mary Pat McAndrews
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Cheryl L Grady
- Rotman Research Institute, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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27
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Setton R, Fisher G, Spreng RN. Mind the gap: Congruence between present and future motivational states shapes prospective decisions. Neuropsychologia 2019; 132:107130. [PMID: 31276683 DOI: 10.1016/j.neuropsychologia.2019.107130] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/27/2019] [Accepted: 06/28/2019] [Indexed: 11/16/2022]
Abstract
Poor estimation of one's future actions has been associated with the influence of reward over executive control processes during prospection. However, the neural mechanisms underlying this reward-control trade-off remain poorly understood. In the present study, we take advantage of projection bias, underestimating how motivations will change in the future, to examine brain and behavior changes during prospection about future decisions. To manipulate motivation, we altered satiety (hungry vs. satiated) and asked human participants (N = 25) to place bids on snack foods while undergoing fMRI scanning across two sessions. While hungry, participants bid for the right to consume snacks in both a future congruent motivational state (hungry) and a future incongruent motivational state (satiated). In a second session, while satiated, participants placed bids for the right to immediately consume the items. Imagination of a congruent future state was associated with brain activity in regions implicated in prospection. Imagination of an incongruent future state was related to brain activity in areas related to cognitive control. Projection bias, the difference between bids during incongruent prospection (hungry to satiated, session one) and realization (satiated, session two), was negatively related to thalamic and insular engagement. Bias was positively related to engagement of the ventral striatum, a region involved in reward processing. These results suggest that the relative activation between reward and control systems is influenced by the congruence of present and future motivational states, and shapes bias in predictions about future behavior.
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Affiliation(s)
- Roni Setton
- McGill University, Montreal, QC, H2X 2C4, Canada.
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28
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Abstract
Increasing evidence indicates that the subjective experience of recollection is diminished in autism spectrum disorder (ASD) compared to neurotypical individuals. The neurocognitive basis of this difference in how past events are re-experienced has been debated and various theoretical accounts have been proposed to date. Although each existing theory may capture particular features of memory in ASD, recent research questions whether any of these explanations are alone sufficient or indeed fully supported. This review first briefly considers the cognitive neuroscience of how episodic recollection operates in the neurotypical population, informing predictions about the encoding and retrieval mechanisms that might function atypically in ASD. We then review existing research on recollection in ASD, which has often not distinguished between different theoretical explanations. Recent evidence suggests a distinct difficulty engaging recollective retrieval processes, specifically the ability to consciously reconstruct and monitor a past experience, which is likely underpinned by altered functional interactions between neurocognitive systems rather than brain region-specific or process-specific dysfunction. This integrative approach serves to highlight how memory research in ASD may enhance our understanding of memory processes and networks in the typical brain. We make suggestions for future research that are important for further specifying the neurocognitive basis of episodic recollection in ASD and linking such difficulties to social developmental and educational outcomes.
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29
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Cooper RA, Ritchey M. Cortico-hippocampal network connections support the multidimensional quality of episodic memory. eLife 2019; 8:45591. [PMID: 30900990 PMCID: PMC6450667 DOI: 10.7554/elife.45591] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 03/22/2019] [Indexed: 12/16/2022] Open
Abstract
Episodic memories reflect a bound representation of multimodal features that can be reinstated with varying precision. Yet little is known about how brain networks involved in memory, including the hippocampus and posterior-medial (PM) and anterior-temporal (AT) systems, interact to support the quality and content of recollection. Participants learned color, spatial, and emotion associations of objects, later reconstructing the visual features using a continuous color spectrum and 360-degree panorama scenes. Behaviorally, dependencies in memory were observed for the gist but not precision of event associations. Supporting this integration, hippocampus, AT, and PM regions showed increased connectivity and reduced modularity during retrieval compared to encoding. These inter-network connections tracked a multidimensional, objective measure of memory quality. Moreover, distinct patterns of connectivity tracked item color and spatial memory precision. These findings demonstrate how hippocampal-cortical connections reconfigure during episodic retrieval, and how such dynamic interactions might flexibly support the multidimensional quality of remembered events.
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Affiliation(s)
- Rose A Cooper
- Department of Psychology, Boston College, Boston, United States
| | - Maureen Ritchey
- Department of Psychology, Boston College, Boston, United States
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30
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Amlien IK, Sneve MH, Vidal-Piñeiro D, Walhovd KB, Fjell AM. Elaboration Benefits Source Memory Encoding Through Centrality Change. Sci Rep 2019; 9:3704. [PMID: 30842457 PMCID: PMC6403239 DOI: 10.1038/s41598-019-39999-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 01/23/2019] [Indexed: 12/21/2022] Open
Abstract
Variations in levels of processing affect memory encoding and subsequent retrieval performance, but it is unknown how processing depth affects communication patterns within the network of interconnected brain regions involved in episodic memory encoding. In 113 healthy adults scanned with functional MRI, we used graph theory to calculate centrality indices representing the brain regions' relative importance in the memory network. We tested how communication patterns in 42 brain regions involved in episodic memory encoding changed as a function of processing depth, and how these changes were related to episodic memory ability. Centrality changes in right middle frontal gyrus, right inferior parietal lobule and left superior frontal gyrus were positively related to semantic elaboration during encoding. In the same regions, centrality during successful episodic memory encoding was related to performance on the episodic memory task, indicating that these centrality changes reflect processes that support memory encoding through deep elaborative processing. Similar analyses were performed for congruent trials, i.e. events that fit into existing knowledge structures, but no relationship between centrality changes and congruity were found. The results demonstrate that while elaboration and congruity have similar beneficial effects on source memory performance, the cortical signatures of these processes are probably not identical.
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Affiliation(s)
- Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.
| | - Markus H Sneve
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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31
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Kim S, Voss JL. Large-scale network interactions supporting item-context memory formation. PLoS One 2019; 14:e0210167. [PMID: 30629666 PMCID: PMC6328164 DOI: 10.1371/journal.pone.0210167] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 12/18/2018] [Indexed: 11/19/2022] Open
Abstract
Episodic memory is thought to involve functional interactions of large-scale brain networks that dynamically reconfigure depending on task demands. Although the hippocampus and closely related structures have been implicated, little is known regarding how large-scale and distributed networks support different memory formation demands. We investigated patterns of interactions among distributed networks while human individuals formed item-context memories for two stimulus categories. Subjects studied object-scene and object-location associations in different fMRI sessions. Stimulus-responsive brain regions were organized based on their fMRI interconnectivity into networks and modules using probabilistic module-detection algorithms to maximize measurement of individual differences in modular structure. Although there was a great deal of consistency in the modular structure between object-scene and object-location memory formation, there were also significant differences. Interactions among functional modules predicted later memory accuracy, explaining substantial portions of variability in memory formation success. Increased interactivity of modules associated with internal thought and anti-correlation of these modules with those related to stimulus-evoked processing robustly predicted object-scene memory, whereas decreased interactivity of stimulus-evoked processing modules predicted object-location memory. Assessment of individual differences in network organization therefore allowed identification of distinct patterns of functional interactions that robustly predicted memory formation. This highlights large-scale brain network interactions for memory formation and indicates that although networks are largely robust to task demands, reconfiguration nonetheless occurs to support distinct memory formation demands.
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Affiliation(s)
- Sungshin Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea
- Sungkyunkwan University (SKKU), Suwon, Republic of Korea
| | - Joel L. Voss
- Department of Medical Social Sciences, Ken and Ruth Davee Department of Neurology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, United States of America
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32
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Cabeza R, Stanley ML, Moscovitch M. Process-Specific Alliances (PSAs) in Cognitive Neuroscience. Trends Cogn Sci 2018; 22:996-1010. [PMID: 30224232 PMCID: PMC6657801 DOI: 10.1016/j.tics.2018.08.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 07/19/2018] [Accepted: 08/19/2018] [Indexed: 10/28/2022]
Abstract
Most cognitive neuroscience theories have focused on the functions of individual brain regions, but cognitive abilities depend also on functional interactions among multiple regions. Many recent studies on these interactions have examined large-scale, resting-state networks, but these networks are difficult to link to theories about specific cognitive processes. Cognitive theories are easier to link to the mini-networks we call process specific alliances (PSAs). A PSA is a small team of brain regions that rapidly assemble to mediate a cognitive process in response to task demands but quickly disassemble when the process is no longer needed. We compare PSAs to resting-state networks and to other connectivity-based, task-related networks, and we characterize the advantages and disadvantages of each type of network.
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Affiliation(s)
- Roberto Cabeza
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
| | - Matthew L Stanley
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Morris Moscovitch
- Rotman Research Institute, Baycrest Centre for Geriatric Care, North York, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada
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33
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Hippocampal CA1 gamma power predicts the precision of spatial memory judgments. Proc Natl Acad Sci U S A 2018; 115:10148-10153. [PMID: 30224452 DOI: 10.1073/pnas.1805724115] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The hippocampus plays a critical role in spatial memory. However, the exact neural mechanisms underlying high-fidelity spatial memory representations are unknown. We report findings from presurgical epilepsy patients with bilateral hippocampal depth electrodes performing an object-location memory task that provided a broad range of spatial memory precision. During encoding, patients were shown a series of objects along the circumference of an invisible circle. At test, the same objects were shown at the top of the circle (0°), and patients used a dial to move the object to its location shown during encoding. Angular error between the correct location and the indicated location was recorded as a continuous measure of performance. By registering pre- and postimplantation MRI scans, we were able to localize the electrodes to specific hippocampal subfields. We found a correlation between increased gamma power, thought to reflect local excitatory activity, and the precision of spatial memory retrieval in hippocampal CA1 electrodes. Additionally, we found a similar relationship between gamma power and memory precision in the dorsolateral prefrontal cortex and a directional relationship between activity in this region and in the CA1, suggesting that the dorsolateral prefrontal cortex is involved in postretrieval processing. These results indicate that local processing in hippocampal CA1 and dorsolateral prefrontal cortex supports high-fidelity spatial memory representations.
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34
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Monge ZA, Stanley ML, Geib BR, Davis SW, Cabeza R. Functional networks underlying item and source memory: shared and distinct network components and age-related differences. Neurobiol Aging 2018; 69:140-150. [PMID: 29894904 DOI: 10.1016/j.neurobiolaging.2018.05.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 04/30/2018] [Accepted: 05/14/2018] [Indexed: 10/16/2022]
Abstract
Although the medial temporal lobes (MTLs) are critical for both item memory (IM) and source memory (SM), the lateral prefrontal cortex and posterior parietal cortex play a greater role during SM than IM. It is unclear, however, how these differences translate into shared and distinct IM versus SM network components and how these network components vary with age. Within a sample of younger adults (YAs; n = 15, Mage = 19.5 years) and older adults (OAs; n = 40, Mage = 68.6 years), we investigated the functional networks underlying IM and SM. Before functional MRI scanning, participants encoded nouns while making either pleasantness or size judgments. During functional MRI scanning, participants completed IM and SM retrieval tasks. We found that MTL nodes were similarly interconnected among each other during both IM and SM (shared network components) but maintained more intermodule connections during SM (distinct network components). Also, during SM, OAs (compared to YAs) had MTL nodes with more widespread connections. These findings provide a novel viewpoint on neural mechanism differences underlying IM versus SM in YAs and OAs.
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Affiliation(s)
- Zachary A Monge
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.
| | | | - Benjamin R Geib
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
| | - Simon W Davis
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Roberto Cabeza
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
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35
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Cooper RA, Richter FR, Bays PM, Plaisted-Grant KC, Baron-Cohen S, Simons JS. Reduced Hippocampal Functional Connectivity During Episodic Memory Retrieval in Autism. Cereb Cortex 2018; 27:888-902. [PMID: 28057726 PMCID: PMC5390398 DOI: 10.1093/cercor/bhw417] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 12/23/2016] [Indexed: 01/26/2023] Open
Abstract
Increasing recent research has sought to understand the recollection impairments experienced by individuals with autism spectrum disorder (ASD). Here, we tested whether these memory deficits reflect a reduction in the probability of retrieval success or in the precision of memory representations. We also used functional magnetic resonance imaging (fMRI) to study the neural mechanisms underlying memory encoding and retrieval in ASD, focusing particularly on the functional connectivity of core episodic memory networks. Adults with ASD and typical control participants completed a memory task that involved studying visual displays and subsequently using a continuous dial to recreate their appearance. The ASD group exhibited reduced retrieval success, but there was no evidence of a difference in retrieval precision. fMRI data revealed similar patterns of brain activity and functional connectivity during memory encoding in the 2 groups, though encoding-related lateral frontal activity predicted subsequent retrieval success only in the control group. During memory retrieval, the ASD group exhibited attenuated lateral frontal activity and substantially reduced hippocampal connectivity, particularly between hippocampus and regions of the fronto-parietal control network. These findings demonstrate notable differences in brain function during episodic memory retrieval in ASD and highlight the importance of functional connectivity to understanding recollection-related retrieval deficits in this population.
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Affiliation(s)
- Rose A Cooper
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
| | | | - Paul M Bays
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
| | | | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
| | - Jon S Simons
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
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36
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King DR, de Chastelaine M, Rugg MD. Recollection-related increases in functional connectivity across the healthy adult lifespan. Neurobiol Aging 2018; 62:1-19. [PMID: 29101898 PMCID: PMC5753578 DOI: 10.1016/j.neurobiolaging.2017.09.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 09/20/2017] [Accepted: 09/23/2017] [Indexed: 12/24/2022]
Abstract
In young adults, recollection-sensitive brain regions exhibit enhanced connectivity with a widely distributed set of other regions during successful versus unsuccessful recollection, and the magnitude of connectivity change correlates with individual differences in recollection accuracy. Here, we examined whether recollection-related changes in connectivity and their relationship with performance varied across samples of young, middle-aged, and older adults. Psychophysiological interaction analyses identified recollection-related increases in connectivity both with recollection-sensitive seed regions and among regions distributed throughout the whole brain. The seed-based approach failed to identify age-related differences in recollection-related connectivity change. However, the whole-brain analysis revealed a number of age-related effects. Numerous pairs of regions exhibited a main effect of age on connectivity change, mostly due to decreased change with increasing age. After controlling for recollection accuracy, however, these effects of age were for the most part no longer significant, and those effects that were detected now reflected age-related increases in connectivity change. A subset of pairs of regions also exhibited an age by performance interaction, driven mostly by a weaker relationship between connectivity change and recollection accuracy with increasing age. We conjecture that these effects reflect age-related differences in neuromodulation.
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Affiliation(s)
- Danielle R King
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
| | - Marianne de Chastelaine
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Michael D Rugg
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
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37
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Davis SW, Luber B, Murphy DLK, Lisanby SH, Cabeza R. Frequency-specific neuromodulation of local and distant connectivity in aging and episodic memory function. Hum Brain Mapp 2017; 38:5987-6004. [PMID: 28885757 DOI: 10.1002/hbm.23803] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Revised: 07/08/2017] [Accepted: 08/28/2017] [Indexed: 12/13/2022] Open
Abstract
A growing literature has focused on the brain's ability to augment processing in local regions by recruiting distant communities of neurons in response to neural decline or insult. In particular, both younger and older adult populations recruit bilateral prefrontal cortex (PFC) as a means of compensating for increasing neural effort to maintain successful cognitive function. However, it remains unclear how local changes in neural activity affect the recruitment of this adaptive mechanism. To address this problem, we combined graph theoretical measures from functional MRI with diffusion weighted imaging and repetitive transcranial magnetic stimulation (rTMS) to resolve a central hypothesis: how do aged brains flexibly adapt to local changes in cortical activity? Specifically, we applied neuromodulation to increase or decrease local activity in a cortical region supporting successful memory encoding (left dorsolateral PFC or DLPFC) using 5 or 1 Hz rTMS, respectively. We then assessed a region's local within-module degree, or the distributed between-module degree (BMD) between distant cortical communities. We predicted that (1) local stimulation-related deficits may be counteracted by boosting BMD between bilateral PFC, and that this effect should be (2) positively correlated with structural connectivity. Both predictions were confirmed; 5 Hz rTMS increased local success-related activity and local increases in PFC connectivity, while 1 Hz rTMS decreases local activity and triggered a more distributed pattern of bilateral PFC connectivity to compensate for this local inhibitory effect. These results provide an integrated, causal explanation for the network interactions associated with successful memory encoding in older adults. Hum Brain Mapp 38:5987-6004, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Simon W Davis
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina.,Department of Neurology, Duke University School of Medicine, Durham, North Carolina
| | - Bruce Luber
- National Institute of Mental Health, Bethesda, Maryland
| | - David L K Murphy
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
| | | | - Roberto Cabeza
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
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38
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Shine JM, Poldrack RA. Principles of dynamic network reconfiguration across diverse brain states. Neuroimage 2017; 180:396-405. [PMID: 28782684 DOI: 10.1016/j.neuroimage.2017.08.010] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Revised: 07/04/2017] [Accepted: 08/02/2017] [Indexed: 11/15/2022] Open
Abstract
Recent methodological advances have enabled researchers to track the network structure of the human brain over time. Together, these studies provide novel insights into effective brain function, highlighting the importance of the systems-level perspective in understanding the manner in which the human brain organizes its activity to facilitate behavior. Here, we review a range of recent fMRI and electrophysiological studies that have mapped the relationship between inter-regional communication and network structure across a diverse range of brain states. In doing so, we identify both behavioral and biological axes that may underlie the tendency for network reconfiguration. We conclude our review by providing suggestions for future research endeavors that may help to refine our understanding of the functioning of the human brain.
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Affiliation(s)
- James M Shine
- Department of Psychology, Stanford University, Stanford, CA, USA; The University of Sydney, Sydney, NSW, Australia.
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39
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Monge ZA, Wing EA, Stokes J, Cabeza R. Search and recovery of autobiographical and laboratory memories: Shared and distinct neural components. Neuropsychologia 2017; 110:44-54. [PMID: 28755853 DOI: 10.1016/j.neuropsychologia.2017.07.030] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 07/19/2017] [Accepted: 07/25/2017] [Indexed: 01/20/2023]
Abstract
Functional neuroimaging evidence suggests that there are differences in the neural correlates of episodic memory for laboratory stimuli (laboratory memory) and for events from one's own life (autobiographical memory). However, this evidence is scarce and often confounded with differences in memory testing procedures. Here, we directly compared the neural mechanisms underlying the search and recovery of autobiographical and laboratory memories while minimizing testing differences. Before scanning, participants completed a laboratory memory encoding task in which they studied four-word "chains" spread across three word pairs. During scanning, participants completed a laboratory memory retrieval task, in which they recalled the word chains, and an autobiographical memory retrieval task, in which they recalled specific personal events associated with word cues. Importantly, response times were similar in the two tasks, allowing for a direct comparison of the activation time courses. We found that during memory search (searching for the memory target), similar brain regions were activated during both the autobiographical and laboratory tasks, whereas during memory recovery (accessing the memory traces; i.e., ecphory), clear differences emerged: regions of the default mode network (DMN) were activated greater during autobiographical than laboratory memory, whereas the bilateral superior parietal lobules were activated greater during laboratory than autobiographical memory. Also, multivariate functional connectivity analyses revealed that regardless of memory stage, the DMN and ventral attention network exhibited a more integrated topology in the functional network underlying autobiographical (vs. laboratory) memory retrieval, whereas the fronto-parietal task control network exhibited a more integrated topology in the functional network underlying laboratory (vs. autobiographical) memory retrieval. These findings further characterize the shared and distinct neural components underlying autobiographical and laboratory memories, and suggest that differences in autobiographical vs. laboratory memory brain activation previously reported in the literature reflect memory recovery rather than search differences.
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Affiliation(s)
- Zachary A Monge
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
| | - Erik A Wing
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
| | - Jared Stokes
- Department of Psychology, University of California, Davis, Davis, CA 95616, United States.
| | - Roberto Cabeza
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
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40
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Monge ZA, Geib BR, Siciliano RE, Packard LE, Tallman CW, Madden DJ. Functional modular architecture underlying attentional control in aging. Neuroimage 2017; 155:257-270. [PMID: 28476664 PMCID: PMC5512538 DOI: 10.1016/j.neuroimage.2017.05.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 04/11/2017] [Accepted: 05/01/2017] [Indexed: 12/11/2022] Open
Abstract
Previous research suggests that age-related differences in attention reflect the interaction of top-down and bottom-up processes, but the cognitive and neural mechanisms underlying this interaction remain an active area of research. Here, within a sample of community-dwelling adults 19-78 years of age, we used diffusion reaction time (RT) modeling and multivariate functional connectivity to investigate the behavioral components and whole-brain functional networks, respectively, underlying bottom-up and top-down attentional processes during conjunction visual search. During functional MRI scanning, participants completed a conjunction visual search task in which each display contained one item that was larger than the other items (i.e., a size singleton) but was not informative regarding target identity. This design allowed us to examine in the RT components and functional network measures the influence of (a) additional bottom-up guidance when the target served as the size singleton, relative to when the distractor served as the size singleton (i.e., size singleton effect) and (b) top-down processes during target detection (i.e., target detection effect; target present vs. absent trials). We found that the size singleton effect (i.e., increased bottom-up guidance) was associated with RT components related to decision and nondecision processes, but these effects did not vary with age. Also, a modularity analysis revealed that frontoparietal module connectivity was important for both the size singleton and target detection effects, but this module became central to the networks through different mechanisms for each effect. Lastly, participants 42 years of age and older, in service of the target detection effect, relied more on between-frontoparietal module connections. Our results further elucidate mechanisms through which frontoparietal regions support attentional control and how these mechanisms vary in relation to adult age.
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Affiliation(s)
- Zachary A Monge
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.
| | - Benjamin R Geib
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA
| | - Rachel E Siciliano
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Lauren E Packard
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Catherine W Tallman
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA
| | - David J Madden
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA
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41
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Geib BR, Stanley ML, Dennis NA, Woldorff MG, Cabeza R. From hippocampus to whole-brain: The role of integrative processing in episodic memory retrieval. Hum Brain Mapp 2017; 38:2242-2259. [PMID: 28112460 PMCID: PMC5460662 DOI: 10.1002/hbm.23518] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 12/19/2016] [Accepted: 01/04/2017] [Indexed: 01/21/2023] Open
Abstract
Multivariate functional connectivity analyses of neuroimaging data have revealed the importance of complex, distributed interactions between disparate yet interdependent brain regions. Recent work has shown that topological properties of functional brain networks are associated with individual and group differences in cognitive performance, including in episodic memory. After constructing functional whole-brain networks derived from an event-related fMRI study of memory retrieval, we examined differences in functional brain network architecture between forgotten and remembered words. This study yielded three main findings. First, graph theory analyses showed that successfully remembering compared to forgetting was associated with significant changes in the connectivity profile of the left hippocampus and a corresponding increase in efficient communication with the rest of the brain. Second, bivariate functional connectivity analyses indicated stronger interactions between the left hippocampus and a retrieval assembly for remembered versus forgotten items. This assembly included the left precuneus, left caudate, bilateral supramarginal gyrus, and the bilateral dorsolateral superior frontal gyrus. Integrative properties of the retrieval assembly were greater for remembered than forgotten items. Third, whole-brain modularity analyses revealed that successful memory retrieval was marginally significantly associated with a less segregated modular architecture in the network. The magnitude of the decreases in modularity between remembered and forgotten conditions was related to memory performance. These findings indicate that increases in integrative properties at the nodal, retrieval assembly, and whole-brain topological levels facilitate memory retrieval, while also underscoring the potential of multivariate brain connectivity approaches for providing valuable new insights into the neural bases of memory processes. Hum Brain Mapp 38:2242-2259, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Benjamin R. Geib
- Department of Psychology and NeuroscienceDuke UniversityDurhamNorth Carolina
| | - Matthew L. Stanley
- Department of Psychology and NeuroscienceDuke UniversityDurhamNorth Carolina
| | - Nancy A. Dennis
- Department of PsychologyPennsylvania State UniversityUniversity ParkPennsylvania
| | - Marty G. Woldorff
- Department of Psychology and NeuroscienceDuke UniversityDurhamNorth Carolina
| | - Roberto Cabeza
- Department of Psychology and NeuroscienceDuke UniversityDurhamNorth Carolina
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Episodic Memory Retrieval Benefits from a Less Modular Brain Network Organization. J Neurosci 2017; 37:3523-3531. [PMID: 28242796 DOI: 10.1523/jneurosci.2509-16.2017] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 02/14/2017] [Accepted: 02/17/2017] [Indexed: 11/21/2022] Open
Abstract
Most complex cognitive tasks require the coordinated interplay of multiple brain networks, but the act of retrieving an episodic memory may place especially heavy demands for communication between the frontoparietal control network (FPCN) and the default mode network (DMN), two networks that do not strongly interact with one another in many task contexts. We applied graph theoretical analysis to task-related fMRI functional connectivity data from 20 human participants and found that global brain modularity-a measure of network segregation-is markedly reduced during episodic memory retrieval relative to closely matched analogical reasoning and visuospatial perception tasks. Individual differences in modularity were correlated with memory task performance, such that lower modularity levels were associated with a lower false alarm rate. Moreover, the FPCN and DMN showed significantly elevated coupling with each other during the memory task, which correlated with the global reduction in brain modularity. Both networks also strengthened their functional connectivity with the hippocampus during the memory task. Together, these results provide a novel demonstration that reduced modularity is conducive to effective episodic retrieval, which requires close collaboration between goal-directed control processes supported by the FPCN and internally oriented self-referential processing supported by the DMN.SIGNIFICANCE STATEMENT Modularity, an index of the degree to which nodes of a complex system are organized into discrete communities, has emerged as an important construct in the characterization of brain connectivity dynamics. We provide novel evidence that the modularity of the human brain is reduced when individuals engage in episodic memory retrieval, relative to other cognitive tasks, and that this state of lower modularity is associated with improved memory performance. We propose a neural systems mechanism for this finding where the nodes of the frontoparietal control network and default mode network strengthen their interaction with one another during episodic retrieval. Such across-network communication likely facilitates effective access to internally generated representations of past event knowledge.
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Rowland JA, Stapleton-Kotloski JR, Alberto GE, Rawley JA, Kotloski RJ, Taber KH, Godwin DW. Contrasting Effects of Posttraumatic Stress Disorder and Mild Traumatic Brain Injury on the Whole-Brain Resting-State Network: A Magnetoencephalography Study. Brain Connect 2017; 7:45-57. [PMID: 28006976 DOI: 10.1089/brain.2015.0406] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The aim of this study was to evaluate alterations in whole-brain resting-state networks associated with posttraumatic stress disorder (PTSD) and mild traumatic brain injury (mTBI). Networks were constructed from locations of peak statistical power on an individual basis from magnetoencephalography (MEG) source series data by applying the weighted phase lag index and surrogate data thresholding procedures. Networks representing activity in the alpha bandwidth as well as wideband activity (DC-80 Hz) were created. Statistical comparisons were adjusted for age and education level. Alpha network results demonstrate reductions in network structure associated with PTSD, but no differences associated with mTBI. Wideband network results demonstrate a shift in connectivity from the alpha to theta bandwidth in both PTSD and mTBI. Also, contrasting alterations in network structure are noted, with increased randomness associated with PTSD and increased structure associated with mTBI. These results demonstrate the potential of the analysis of MEG resting-state networks to differentiate two highly comorbid conditions. The importance of the alpha bandwidth to resting-state connectivity is also highlighted, while demonstrating the necessity of considering activity in other bandwidths during network construction.
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Affiliation(s)
- Jared A Rowland
- 1 Research and Academic Affairs Service Line, Mid Atlantic Mental Illness Research Education and Clinical Center , W.G. (Bill) Hefner VA Medical Center, Salisbury, North Carolina.,2 Department of Neurobiology and Anatomy, Wake Forest School of Medicine , Winston-Salem, North Carolina.,3 Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine , Winston-Salem, North Carolina
| | - Jennifer R Stapleton-Kotloski
- 1 Research and Academic Affairs Service Line, Mid Atlantic Mental Illness Research Education and Clinical Center , W.G. (Bill) Hefner VA Medical Center, Salisbury, North Carolina.,4 Department of Neurology, Wake Forest School of Medicine , Winston-Salem, North Carolina
| | - Greg E Alberto
- 2 Department of Neurobiology and Anatomy, Wake Forest School of Medicine , Winston-Salem, North Carolina
| | - Justin A Rawley
- 5 Department of Radiation Oncology, Wake Forest School of Medicine , Winston-Salem, North Carolina
| | - Robert J Kotloski
- 6 Department of Neurology, University of Wisconsin School of Medicine and Public Health , Madison, Wisconsin.,7 Department of Neurology, William S. Middleton VA Medical Center , Madison, Wisconsin
| | - Katherine H Taber
- 1 Research and Academic Affairs Service Line, Mid Atlantic Mental Illness Research Education and Clinical Center , W.G. (Bill) Hefner VA Medical Center, Salisbury, North Carolina.,8 Division of Biomedical Sciences, Edward Via College of Osteopathic Medicine , Blacksburg, Virginia.,9 Department of Physical Medicine and Rehabilitation, Baylor College of Medicine , Houston, Texas
| | - Dwayne W Godwin
- 2 Department of Neurobiology and Anatomy, Wake Forest School of Medicine , Winston-Salem, North Carolina
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Stimulation of the Posterior Cortical-Hippocampal Network Enhances Precision of Memory Recollection. Curr Biol 2017; 27:465-470. [PMID: 28111154 DOI: 10.1016/j.cub.2016.12.042] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/25/2016] [Accepted: 12/20/2016] [Indexed: 01/01/2023]
Abstract
Episodic memory is thought to critically depend on interaction of the hippocampus with distributed brain regions [1-3]. Specific contributions of distinct networks have been hypothesized, with the hippocampal posterior-medial (HPM) network implicated in the recollection of highly precise contextual and spatial information [3-6]. Current evidence for HPM specialization is mostly indirect, derived from correlative measures such as neural activity recordings. Here we tested the causal role of the HPM network in recollection using network-targeted noninvasive brain stimulation in humans, which has previously been shown to increase functional connectivity within the HPM network [7]. Effects of multiple-day electromagnetic stimulation were assessed using an object-location memory task that segregated recollection precision from general recollection success. HPM network-targeted stimulation produced lasting (∼24 hr) enhancement of recollection precision, without effects on general success. Canonical neural correlates of recollection [8-10] were also modulated by stimulation. Late-positive evoked potential amplitude and theta-alpha oscillatory power were reduced, suggesting that stimulation can improve memory through enhanced reactivation of detailed visuospatial information at retrieval. The HPM network was thus specifically implicated in the processing of fine-grained memory detail, supporting functional specialization of hippocampal-cortical networks. These findings demonstrate that brain networks can be causally linked to distinct and specific neurocognitive functions and suggest mechanisms for long-lasting changes in memory due to network-targeted stimulation.
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Davis SW, Stanley ML, Moscovitch M, Cabeza R. Resting-state networks do not determine cognitive function networks: a commentary on Campbell and Schacter (2016). LANGUAGE, COGNITION AND NEUROSCIENCE 2016; 32:669-673. [PMID: 28989941 PMCID: PMC5629978 DOI: 10.1080/23273798.2016.1252847] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 10/19/2016] [Indexed: 05/12/2023]
Affiliation(s)
- Simon W Davis
- Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Matthew L Stanley
- Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
| | | | - Roberto Cabeza
- Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
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