The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index; 4 of the 17 sources its claims cite were checked for support.
Using Imagination to Understand the Neural Basis of Episodic Memory
Open accessAbstract
Functional MRI (fMRI) studies investigating the neural basis of episodic memory recall, and the related task of thinking about plausible personal future events, have revealed a consistent network of associated brain regions. Surprisingly little, however, is understood about the contributions individual brain areas make to the overall recollective experience. To examine this, we used a novel fMRI paradigm in which subjects had to imagine fictitious experiences. In contrast to future thinking, this results in experiences that are not explicitly temporal in nature or as reliant on self-processing. By using previously imagined fictitious experiences as a comparison for episodic memories, we identified the neural basis of a key process engaged in common, namely scene construction, involving the generation, maintenance and visualization of complex spatial contexts. This was associated with activations in a distributed network, including hippocampus, parahippocampal gyrus, and retrosplenial cortex. Importantly, we disambiguated these common effects from episodic memory-specific responses in anterior medial prefrontal cortex, posterior cingulate cortex and precuneus. These latter regions may support self-schema and familiarity processes, and contribute to the brain's ability to distinguish real from imaginary memories. We conclude that scene construction constitutes a common process underlying episodic memory and imagination of fictitious experiences, and suggest it may partially account for the similar brain networks implicated in navigation, episodic future thinking, and the default mode. We suggest that additional brain regions are co-opted into this core network in a task-specific manner to support functions such as episodic memory that may have additional requirements.
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Claims the paper makes
4 of 17 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Thus episodic memory recall can be conceptually divided into a number of component processes including a sense of subjective time (Tulving, 2002), self-processing (Conway and Pleydell-Pearce, 2000), visual imagery (Rubin et al., 2003), narrative structure (Rubin et al., 2003), retrieval of semantic information (Wheeler et al., 1997) and multi-modal details (Wheeler et al., 2000; Gottfried et al., 2004), and feelings of familiarity (Wagner et al., 2005).”
§ Using imagination to understand the neural basis of episodic memory > Introduction
What the sources say
- Not checked — no full text of the sourcecites Tulving, 2002 source
- Not checked — no full text of the sourcecites Conway and Pleydell-Pearce, 2000 source
- Supportedcites Rubin et al., 2003 source
The citation to Rubin et al. is attached to visual imagery and narrative structure, not the other processes in the citing sentence. The paper’s “Component processes” section identifies visual imagery as a component of autobiographical memory and treats narrative coherence as a distinct feature, measured by whether a memory comes as a coherent story. Page numbers were not available in our copy. (LLM, conf=0.93)
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“have revealed a consistent and distributed network of associated brain regions,”
§ Using imagination to understand the neural basis of episodic memory > Introduction
What the sources say
- Not checked — no full text of the sourcecites Maguire, 2001 source
- Partly supportedcites Svoboda et al., 2006 sourceExperimental — accuracy not yet measured
Section 3.1 identifies a consistent, distributed network across autobiographical-memory imaging studies. Section 3.4 reports overlap in two regions for past and future thought, but cites only one imaging study directly comparing them; it does not establish a consistent distributed network across studies of both episodic recall and future thinking. The indexed copy provides no page numbers for these passages. (LLM, conf=0.87)
- Not checked — no full text of the sourcecites Cabeza and St Jacques, 2007 source
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“we replicated the well-established episodic memory retrieval network consistently activated in studies of autobiographical memory”
§ Using imagination to understand the neural basis of episodic memory > Results > Neuroimaging Data
What the sources say
- Not checked — no full text of the sourcecites Maguire, 2001 source
- Partly supportedcites Rugg et al., 2002 sourceExperimental — accuracy not yet measured
The Abstract (page unavailable) reports that successful episodic recollection is associated with lateral parietal activation and more variable prefrontal activation. It does not establish a consistently activated network in autobiographical-memory studies or compare recall of real memories with recall of objects; the available text points to a PDF for the full article. (LLM, conf=0.82)
- Partly supportedcites Svoboda et al., 2006 sourceExperimental — accuracy not yet measured
The Introduction says the meta-analysis identifies shared patterns of brain activation during autobiographical remembering, supporting the citing sentence’s reference to an established retrieval network. The Results and discussion (section 3.1) also describes an autobiographical-memory network. Our copy does not establish the claim’s more specific comparison of real-memory recall with recalled objects. (LLM, conf=0.84)
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Importantly, we disambiguated these common effects from episodic memory-specific responses in anterior medial prefrontal cortex, posterior cingulate cortex and precuneus.”
§ Using imagination to understand the neural basis of episodic memory > Abstract
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These latter regions may support self-schema and familiarity processes,”
§ Using imagination to understand the neural basis of episodic memory > Abstract
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We conclude that scene construction constitutes a common process underlying episodic memory and imagination of fictitious experiences,”
§ Using imagination to understand the neural basis of episodic memory > Abstract
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we identified the neural basis of a key process engaged in common, namely scene construction”
§ Using imagination to understand the neural basis of episodic memory > Abstract
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This was associated with activations in a distributed network, including hippocampus, parahippocampal gyrus, and retrosplenial cortex.”
§ Using imagination to understand the neural basis of episodic memory > Abstract
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“involving the generation, maintenance and visualisation of complex spatial contexts.”
§ Using imagination to understand the neural basis of episodic memory > Abstract
None of the sources cited for this claim have been checked yet.
In the paper
“This study demonstrates that imagining new experiences is a manipulable and useful experimental tool which may prove fruitful in further advancing our understanding of episodic memory and the processes underpinning it, as well as other related cognitive functions”
§ Using imagination to understand the neural basis of episodic memory > Discussion
What the sources say
- Not checked — no full text of the sourcecites Buckner and Carroll, 2007 source
- Not matchedcites Hassabis and Maguire, 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Much recent interest has focused on the striking overlap among brain regions involved in the retrieval of autobiographical memories, the imagination of novel events, and navigation14, 47, 48.”
From Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe (2014) · cites this paper as [48]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentt(20) = 13.52reported p < .001 · recomputed p < .001
“t(20) = 13.52, p < .001”
- Consistentt(20) = 13.6reported p < .001 · recomputed p < .001
“t(20) = 13.60, p < .001”
- Consistentt(20) = 11.03reported p < .001 · recomputed p < .001
“t(20) = 11.03, p < .001”
- Consistentt(20) = -4.89reported p < .001 · recomputed p < .001
“t(20) = −4.89, p < .001”
- Consistentt(20) = 4.36reported p < .001 · recomputed p < .001
“t(20) = 4.36, p < .001”
- Consistentt(20) = 4.41reported p < .001 · recomputed p < .001
“t(20) = 4.41, p < .001”
- Consistentt(20) = 2.88reported p < .01 · recomputed p = .009
“t(20) = 2.88, p < .01”
- Consistentt(20) = -4.77reported p < .001 · recomputed p < .001
“t(20) = −4.77, p < .001”
- Consistentt(20) = -6.67reported p < .001 · recomputed p < .001
“t(20) = −6.67, p < .001”
- Consistentt(20) = 5.51reported p < .001 · recomputed p < .001
“t(20) = 5.51, p < .001”
- Consistentt(20) = 4.96reported p < .001 · recomputed p < .001
“t(20) = 4.96, p < .001”
- Consistentt(20) = 6.17reported p < .001 · recomputed p < .001
“t(20) = 6.17, p < .001”
- Consistentt(20) = 17.85reported p < .001 · recomputed p < .001
“t(20) = 17.85, p < .001”
- Consistentt(20) = 11.18reported p < .001 · recomputed p < .001
“t(20) = 11.18, p < .001”
- Consistentt(20) = 2.42reported p < .03 · recomputed p = .025
“t(20) = 2.42, p < .03”
- Consistentt(20) = 12.99reported p < .001 · recomputed p < .001
“t(20) = 12.99, p < .001”
- Consistentt(20) = 8.67reported p < .001 · recomputed p < .001
“t(20) = 8.67, p < .001”
- Consistentt(20) = -0.89reported p = .39 · recomputed p = .384
“t(20) = −0.89, p = .39”
- Consistentt(20) = 0.51reported p = .62 · recomputed p = .616
“t(20) = 0.51, p = .62”
- Consistentt(20) = -1.97reported p = .06 · recomputed p = .063
“t(20) = −1.97, p = .06”
- Consistentt(20) = -1reported p = .33 · recomputed p = .329
“t(20) = −1.00, p = .33”
- Consistentt(20) = -0.47reported p = .64 · recomputed p = .643
“t(20) = −0.47, p = .64”
- Consistentt(20) = 1.75reported p = .1 · recomputed p = .095
“t(20) = 1.75, p = .10”
- Consistentt(20) = 3.86reported p < .001 · recomputed p < .001
“t(20) = 3.86, p < .001”
- Consistentt(20) = 4.26reported p < .001 · recomputed p < .001
“t(20) = 4.26, p < .001”
- Consistentt(20) = 1.09reported p = .29 · recomputed p = .289
“t(20) = 1.09, p = .29”
- Consistentt(20) = -0.69reported p = .5 · recomputed p = .498
“t(20) = −0.69, p = .50”
- Consistentt(20) = -0.59reported p = .56 · recomputed p = .562
“t(20) = −0.59, p = .56”
- Consistentt(20) = 0.26reported p = .8 · recomputed p = .798
“t(20) = 0.26, p = .80”
- Consistentt(20) = -0.3reported p = .77 · recomputed p = .767
“t(20) = −0.30, p = .77”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Self-check results appear here once an independent check has confirmed them.
Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · cited 4×
“…2005), episodic future thinking (Atance and O’Neill, 2001; Addis et al., 2007; Schacter and Addis, 2007; Szpunar et al., 2007), the default mode (Raichle et al., 2001) and daydreaming (Mason et al., 2007), leading to suggestions that it performs a general function (Buckner and Carroll, 2007;…”
BackgroundInfluential(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
Episodic memory: from mind to brain
Tulving, E. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135114 · Cited by 4,950 · cited 11×
“…theory of mind (Kumaran and Maguire, 2005; Amodio and Frith, 2006) and episodic future thinking (Addis et al., 2007) suggesting that the amPFC and PCC might be supporting pro- cesses related to the self (Conway and Pleydell-Pearce, 2000) and mental time travel (Wheeler et al., 1997; Tulving, 2002).”
BackgroundMethodInfluentialThe construction of autobiographical memories in the self-memory system
Conway, M. A., & Pleydell-Pearce, C. W. (2000) · Psychological Review · doi:10.1037/0033-295x.107.2.261 · Cited by 4,089 · cited 7×
“…a purely created imagined experience does not have the same reliance or effect on the imaginer’s self-schema compared with a real episodic memory (Conway and Pleydell-Pearce, 2000; Gallagher, 2000) although both likely involve the adoption of an egocentric viewpoint (Burgess, 2006) on the part…”
BackgroundMethodInfluentialMeeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782 · cited 2×
“…bears a striking resemblance to networks found to support self-reflection (Johnson et al., 2002), theory of mind (Kumaran and Maguire, 2005; Amodio and Frith, 2006) and episodic future thinking (Addis et al., 2007) suggesting that the amPFC and PCC might be supporting pro- cesses related…”
BackgroundPhilosophical conceptions of the self: implications for cognitive science.
Gallagher, S. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01417-5 · Cited by 2,881 · cited 4×
“Moreover, by using rich imaginary memories as a well matched comparison task we were able to isolate processes specific to episodic memory, such as the use of self-schema (Conway and Pleydell-Pearce, 2000; Gallagher, 2000), a sense of familiarity and mental time travel (Tulving, 2002).”
BackgroundMethodInfluentialWandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792 · cited 4×
“, 2001), and perhaps even daydreaming (Mason et al., 2007).”
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The human hippocampus and spatial and episodic memory
Burgess, N., Maguire, E. A., & O'Keefe, J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00830-9 · Cited by 2,401 · cited 3×
“…network (also replicated in this study with the RM RO contrast) has also been activated in a variety of other circumstances including navigation (Burgess et al., 2002; Hartley et al., 2003; Spiers and Maguire, 2006), spatial tasks (Maguire et al., 2003; Kumaran and Maguire, 2005), episodic…”
BackgroundMethodSelf-citationRemembering the past to imagine the future: the prospective brain
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2213 · Cited by 2,394 · cited 1×
“…a key component of episodic memory recall lends additional support to constructive theories of episodic memory (Bartlett, 1932; Schacter et al., 1998) and the recently proposed constructive episodic simulation function of the episodic memory system (Schacter and Addis, 2007; Schacter et al., 2007).”
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Research works printed but not linked: 1
- Bartlett FC (1932) Remembering (Cambridge UP, Cambridge).
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Items 601–700 of 751
Testing covariance models for MEG source reconstruction of hippocampal activityPreprint
O’Neill, G. C., Barry, D. N., Tierney, T. M., Mellor, S., Maguire, E. A., & Barnes, G. R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.29.441929 · Cited by 2
Self-citationSignatures of remote planning in hippocampal replayPreprint
Lustig, B. R., Wang, Y., Romani, S., Pastalkova, E., & Lee, A. K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.02.691753 · Cited by 2
“The hippocampus is known to be critical for episodic memory, spatial memory, and imagination ( 2 – 4 , 7 – 9 ) .”
Impaired episodic simulation in a patient with visual memory deficit amnesia
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BackgroundMethodResultInfluentialAtypical Scene‐Selectivity in the Retrosplenial Complex in Individuals With Autism Spectrum Disorder
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“In particular, it has been demonstrated by Hassabis et al. (2007a) that the hippocampus, the parahippocampal gyrus and the retrosplenial cortex were activated during both re-experiencing past events and constructing new experiences.”
BackgroundEU, O PROTAGONISTA E A CENA: HABILIDADES SOCIAIS, EMPARELHAMENTO NEURAL E EMPATIA
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Role of Episodic Future Thought in Eating Behavior: Food Preferences and Life Goals
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“EFT depends on episodic memory, since the construction of future episodic thinking depends on the retrieval and integration of prior experiences, which are stored in episodic memory and then envision one in the future [18-20].”
BackgroundSelected Topics in Prospective Memory
Cohen, A., & Hicks, J. L. (2017) · SpringerBriefs in psychology · doi:10.1007/978-3-319-68990-6_1 · Cited by 1
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“Previous studies suggested that the PPA was only responsible for the attribute information of scenes, and it could not be activated by objects(MacEvoy and Epstein, 2011; Persichetti and Dilks, 2016), however, the other studies argued that the PPA was capable of processing the objects’ information related to the scene…”
BackgroundResultSimulating the situated-self drives hippocampo-cortical engagement during inner narration of events
Bergouignan, L., & Paz‐Alonso, P. M. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac047 · Cited by 1
Transcranial Stimulation of Episodic Memory Networks
Hebscher, M., & Voss, J. L. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198832256.013.33 · Cited by 2
Navigation Through the Complex World: The Neurophysiology of Decision-Making Processes
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“studies have typically instructed participants to close their eyes (Hassabis et al., 2007; Mullally et al., 2012).”
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Visual to default network pathways: A double dissociation between semantic and spatial cognitionPreprint
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Semantic Feature Type Constrains the Organization and Computation of Concrete Conceptual Knowledge
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“Neuroscience, however, has found that imagination takes place in multiple parts of the brain, depending on what exactly is being imagined (Hassabis et al., 2007; Mullally and Maguire, 2014; Schlegel et al., 2013; Wheeler et al., 1997).”
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Episodic Future Thinking in Children with Autism Spectrum
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Preoperative of Verbal Episodic Memory Outcome Using fMRI
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Response to ‘Hippocampus as a wormhole: gateway to consciousness’
Faw, M., & Faw, B. (2017) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1447
The Effects of Cue Familiarity on Episodic Memory, Scene Construction, and Imagining the Future
Robin, J. (2011) · TSpace (University of Toronto)
Collaborative Processes in Neuropsychological Interviews
McVittie, C., & McKinlay, A. (2017) · doi:10.1093/oso/9780198737865.003.0012
Multi-layered Time and the Unity of the Unfolding Logos of Life
Łacina, K. (2018) · Springer eBooks · doi:10.1007/978-3-319-77516-6_42
The not so resting mind: Investigating Neural Activity associated with daydreaming using EEG
Moody, R. (2015) · Research Repository (University of Gloucestershire)
Iida, T. (2019) · Annals of the Japan Association for Philosophy of Science · doi:10.4288/jafpos.28.0_33
Representational dynamics across multiple timescales in human cortical networks
Wen, T. (2019) · Apollo (University of Cambridge) · doi:10.17863/cam.47653
“, 2009), episodic future thinking (Hassabis et al., 2007; Addis et al., 2009), retrieval of contextual associations (Bar, 2007), processing semantic and conceptual knowledge (Binder et al.”
BackgroundMurray, E. A., Wise, S. P., Baldwin, M. K. L., & Graham, K. S. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780198828051.003.0004
Turner, P. (2020) · Human-computer interaction series · doi:10.1007/978-3-030-37348-1_2
The role of the default mode network in contextual control
Smith, V. (2019) · Apollo (University of Cambridge) · doi:10.17863/cam.49069
Prospection: Methodological Complexities of Imagining Academia
Pilotti, M., Alaoui, K. E., & Salameh, M. H. (2020) · World Futures Review · doi:10.1177/1946756720976716
“Thus, the guidelines set by Hassabis et al. (2007) in their protocol for imagining the future may be useful as measures of the quality of the scenarios that people develop when they are asked to “think of” and “think in” the future.”
BackgroundKikuchi, Y., Noriuchi, M., Isobe, H., Shirato, M., & Hirao, N. (2021) · Research Square · doi:10.21203/rs.3.rs-145584/v1
“The PCC has been implicated in many other studies involving familiarity [52, 53], and those involving self-representation [54-56].”
ResultPassingham, R. E. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198844570.003.0010
Nyberg, L. H. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.738423883.793581887
Systematic review and effect of conscious breathing on adult attention and learning task
Chavez, V., Ochoa-de-la-Paz, L., & Parodí, J. (2022) · Revista de Fomento Social · doi:10.24875/rmn.21000029
Neural Networks Implicated in Autobiographical Memory TrainingPreprint
Cîrneci, D., Onu, M., Papasteri, C., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-1121844/v1
Damasceno, B. P. (2020) · Springer eBooks · doi:10.1007/978-3-030-57267-9_4
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_10
Turner, P. (2016) · Human-computer interaction series · doi:10.1007/978-3-319-42235-0_6
Behrmann, M. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733764570.793549442
Mental travels and the cognitive basis of language
Corballis, M. C. (2020) · Benjamins current topics · doi:10.1075/bct.112.22cor
Blouin‐Hudon, E. C. (2019) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2019-13813
Wank, A. A., Andrews‐Hanna, J. R., & Grilli, M. D. (2018) · doi:10.31234/osf.io/hd749
Contextual Coherence in the Visual Imagination: An Interdisciplinary Analysis
Vertolli, M. O. (2014) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2014-10408
Harold Pinter'sOld Timesand the play of indistinction
Kallenbach, U. (2022) · Orbis Litterarum · doi:10.1111/oli.12357
Corda, G. (2022) · Análisis Revista de investigación filosófica · doi:10.26754/ojs_arif/arif.202215604
Pergolizzi, D., & Crespo, I. (2022) · Anxiety Stress & Coping · doi:10.1080/10615806.2022.2134566
“Indeed, among the most influential theories underlying mental time travel is that the same neurocognitive process, memory, underlies past- and future-related thinking (Buckner & Carroll, 2007; Hassabis et al., 2007; Schacter & Addis, 2007; Suddendorf, 2010; Tulving, 2002).”
BackgroundMemory, Imagination, and Skill
Kind, A. (2022) · Routledge eBooks · doi:10.4324/9781003153429-13
Izadifar, M. (2022) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-022-01321-4
Imagine Yourself Dancing Waltz: The Effect of Imagination on Memory in Alzheimer’s Disease
Haj, M. E., Robin, F., Moustafa, A. A., & Gallouj, K. (2023) · Current Alzheimer Research · doi:10.2174/1567205020666230523155845
Crafa, D., Stoddart, C. M., Makowski, C., & Brodeur, M. B. (2023) · doi:10.31234/osf.io/hcyf3
The neuropsychological mechanism in loci memory using 7T fMRI
Chen, X. (2023) · Theoretical and Natural Science · doi:10.54254/2753-8818/8/20240385
Emotional prosody modulates visual mental imageryPreprint
Huang, W., Zhang, F., Zhang, C., Wang, C., Zhang, S., Pu, Y., & Kong, X. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.10.574936 · Cited by 1
“What is even more intriguing, however, is that the DMN also plays a significant role in scene construction during visual imagination tasks (Addis et al., 2007; Daselaar et al., 2010; Hassabis et al., 2007; Hassabis & Maguire, 2007; Zvyagintsev et al., 2013).”
Background
Metadata
- Authors
- Hassabis, D., Kumaran, D., & Maguire, E. A.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Hassabis, Demis
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-12-26
- Volume
- 27
- Issue
- 52
- Pages
- 14365-14374
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2571957
- OpenAlex
- W1982298223
- Cited by
- 744
- References
- 45
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 41 · 2023: 25 · 2022: 46 · 2021: 34 · 2020: 43 · 2019: 56 · 2018: 44 · 2017: 44 · 2016: 40 · 2015: 49 · 2014: 49 · 2013: 48 · 2012: 55
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (071173)
- Brain Research Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- episodic memory, imagination, scene construction, hippocampus, parahippocampal gyrus, retrosplenial cortex, anterior medial prefrontal cortex, posterior cingulate cortex, precuneus, episodic future thinking, default mode network, self-processing
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Memory, Neuropsychological Tests, Oxygen
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