Autobiographical planning and the brain: activation and its modulation by qualitative features
Open accessAbstract
To engage in purposeful behavior, it is important to make plans, which organize subsequent actions. Most studies of planning involve “look-ahead” puzzle tasks that are unrelated to personal goals. We developed a task to assess autobiographical planning, which involves the formulation of personal plans in response to real-world goals, and examined autobiographical planning in 63 adults during fMRI scanning. Autobiographical planning was found to engage the default network, including medial-temporal lobe and midline structures, and executive control regions in lateral pFC and parietal cortex and caudate. To examine how specific qualitative features of autobiographical plans modulate neural activity, we performed parametric modulation analyses. Ratings of plan detail, novelty, temporal distance, ease of plan formulation, difficulty in goal completion, and confidence in goal accomplishment were used as covariates in six hierarchical linear regression models. This modeling procedure removed shared variance among the ratings, allowing us to determine the independent relationship between ratings of interest and trial-wise BOLD signal. We found that specific autobiographical planning, describing a detailed, achievable, and actionable planning process for attaining a clearly envisioned future, recruited both default and frontoparietal brain regions. In contrast, abstract autobiographical planning, plans that were constructed from more generalized semantic or affective representations of a less tangible and distant future, involved interactions among default, sensory perceptual, and limbic brain structures. Specific qualities of autobiographical plans are important predictors of default and frontoparietal control network engagement during plan formation and reflect the contribution of mnemonic and executive control processes to autobiographical planning.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The control network may modify and direct self-generated thoughts to meet the demands of task-specific goals.
“In this context, the control network may modify and direct self-generated thoughts to meet the demands of task-specific goals [10–11, 20].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [11]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Self-citationConstrual-level theory of psychological distance.
Trope, Y., & Liberman, N. (2010) · Psychological Review · doi:10.1037/a0018963 · Cited by 6,618 · see citing works
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143 · see citing works
Self-citationAndrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102 · see citing works
Self-citationDEFICITS IN STRATEGY APPLICATION FOLLOWING FRONTAL LOBE DAMAGE IN MAN
SHALLICE, T., & BURGESS, P. W. (1991) · Brain · doi:10.1093/brain/114.2.727 · Cited by 2,017 · see citing works
Addis, D. R., Wong, A. T., & Schacter, D. L. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.10.016 · Cited by 1,949 · see citing works
Self-citationEvidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869 · see citing works
The cognitive neuroscience of constructive memory: remembering the past and imagining the future
Schacter, D. L., & Addis, D. R. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2087 · Cited by 1,836 · see citing works
Self-citationNiendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0083-5 · Cited by 1,700 · cited 2× · see citing works
“Lateral pFC, the anterior extent of the IPL, dorsal anterior cingulate, and anterior insula comprise regions of an extended frontoparietal control system broadly involved in executive control (Niendam et al., 2012; Vincent, Kahn, Snyder, Raichle, & Buckner, 2008).”
BackgroundThe future of memory: remembering, imagining, and the brain
Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012) · Neuron · doi:10.1016/j.neuron.2012.11.001 · Cited by 1,398 · see citing works
Self-citationSpreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.016 · Cited by 1,256 · see citing works
Self-citationPlanning and spatial working memory following frontal lobe lesions in man
Owen, A. M., Downes, J. J., Sahakian, B. J., Polkey, C. E., & Robbins, T. W. (1990) · Neuropsychologia · doi:10.1016/0028-3932(90)90137-d · Cited by 1,241 · see citing works
Prospection: experiencing the future
Gilbert, D. T., & Wilson, T. D. (2007) · Science · doi:10.1126/science.1144161 · Cited by 1,238 · see citing works
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
Creative Cognition and Brain Network Dynamics
Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.004 · Cited by 1,105 · see citing works
Self-citation<i>Episodic Simulation of Future Events</i>: <i>Concepts, Data, and Applications</i>
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.001 · Cited by 840 · see citing works
Self-citationNavigating Into the Future or Driven by the Past
Seligman, M. E. P., Railton, P., Baumeister, R. F., & Sripada, C. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691612474317 · Cited by 720 · see citing works
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.039 · Cited by 690 · see citing works
Self-citationSpreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668 · see citing works
Self-citationNeural mechanisms mediating optimism bias
Sharot, T., Riccardi, A. M., Raio, C. M., & Phelps, E. A. (2007) · Nature · doi:10.1038/nature06280 · Cited by 659 · see citing works
Back to the future: Autobiographical planning and the functionality of mind-wandering
Baird, B., Smallwood, J., & Schooler, J. W. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.08.007 · Cited by 588 · see citing works
A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition
Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417144111 · Cited by 539 · see citing works
Self-citationPlanning and spatial working memory: A positron emission tomography study in humans
Owen, A. M., Doyon, J., Petrides, M., & Evans, A. C. (1996) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1996.tb01219.x · Cited by 450 · see citing works
Frequency, characteristics and functions of future‐oriented thoughts in daily life
D'Argembeau, A., Renaud, O., & Van der Linden, M. (2011) · Applied Cognitive Psychology · doi:10.1002/acp.1647 · Cited by 428 · see citing works
Mapping value based planning and extensively trained choice in the human brain
Wunderlich, K., Dayan, P., & Dolan, R. J. (2012) · Nature Neuroscience · doi:10.1038/nn.3068 · Cited by 310 · see citing works
The Hippocampus and Imagining the Future: Where Do We Stand?
Addis, D. R., & Schacter, D. L. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00173 · Cited by 285 · see citing works
Self-citationAddis, D. R., & Schacter, D. L. (2007) · Hippocampus · doi:10.1002/hipo.20405 · Cited by 275 · see citing works
Self-citationOwen, A. M. (1997) · Progress in Neurobiology · doi:10.1016/s0301-0082(97)00042-7 · Cited by 251 · see citing works
van den Heuvel, O. A., Groenewegen, H. J., Barkhof, F., Lazeron, R. H. C., van Dyck, R., & Veltman, D. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00010-1 · Cited by 247 · see citing works
Neural correlates of envisioning emotional events in the near and far future
D'Argembeau, A., Xue, G., Lu, Z.-L., der Linden, M. V., & Bechara, A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.025 · Cited by 231 · see citing works
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214 · see citing works
Self-citationThe temporal distribution of past and future autobiographical events across the lifespan
Spreng, R. N., & Levine, B. (2006) · Memory & Cognition · doi:10.3758/bf03195927 · Cited by 202 · see citing works
Self-citationThe Neural Basis of Personal Goal Processing When Envisioning Future Events
D'Argembeau, A., Stawarczyk, D., Majerus, S., Collette, F., Van der Linden, M., Feyers, D., Maquet, P., & Salmon, E. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21314 · Cited by 194 · see citing works
Stawarczyk, D., & D'Argembeau, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22818 · Cited by 188 · see citing works
Hippocampal contributions to the episodic simulation of specific and general future events
Addis, D. R., Cheng, T., P. Roberts, R., & Schacter, D. L. (2011) · Hippocampus · doi:10.1002/hipo.20870 · Cited by 182 · see citing works
Self-citationGerlach, K. D., Spreng, R. N., Madore, K. P., & Schacter, D. L. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu001 · Cited by 148 · see citing works
Self-citationA role for the hippocampus in encoding simulations of future events
Martin, V. C., Schacter, D. L., Corballis, M. C., & Addis, D. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105816108 · Cited by 144 · see citing works
Self-citationWagner, G., Koch, K., Reichenbach, J., Sauer, H., & Schlösser, R. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.05.014 · Cited by 132 · see citing works
Striatal dopamine release during performance of executive functions: A [11C] raclopride PET study
Monchi, O., Ko, J. H., & Strafella, A. P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.058 · Cited by 123 · see citing works
Lebow, R. N. (2008) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716207310817 · Cited by 99 · see citing works
Weiler, J. A., Suchan, B., & Daum, I. (2010) · Hippocampus · doi:10.1002/hipo.20695 · Cited by 93 · see citing works
The Default Network Distinguishes Construals of Proximal versus Distal Events
Tamir, D., & Mitchell, J. P. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00009 · Cited by 92 · see citing works
Distinct striatal regions for planning and executing novel and automated movement sequences
JANKOWSKI, J., SCHEEF, L., HUPPE, C., & BOECKER, H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.059 · Cited by 89 · see citing works
Gaesser, B., Spreng, R. N., McLelland, V. C., Addis, D. R., & Schacter, D. L. (2013) · Hippocampus · doi:10.1002/hipo.22152 · Cited by 78 · see citing works
Self-citationEpisodic future thought: contributions from working memory.
Hill, P. F., & Emery, L. J. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2013.04.002 · Cited by 60 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Creative Cognition and Brain Network Dynamics
Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.004 · Cited by 1,105 · see citing works
“In this context, the control network may modify and direct self-generated thoughts to meet the demands of task-specific goals [10,11,20].”
BackgroundSelf-citationThe Shifting Architecture of Cognition and Brain Function in Older Adulthood
Spreng, R. N., & Turner, G. R. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619827511 · Cited by 247 · see citing works
Self-citationMurphy, C., Jefferies, E., Rueschemeyer, S., Sormaz, M., Wang, H.-T., Margulies, D. S., & Smallwood, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.017 · Cited by 230 · see citing works
Beaty, R. E., Christensen, A. P., Benedek, M., Silvia, P. J., & Schacter, D. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.012 · Cited by 204 · see citing works
Self-citationThe role of the default mode network in component processes underlying the wandering mind
Poerio, G. L., Sormaz, M., Wang, H.-T., Margulies, D. S., Jefferies, E., & Smallwood, J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx041 · Cited by 184 · see citing works
Beaty, R. E., Chen, Q., Christensen, A. P., Qiu, J., Silvia, P. J., & Schacter, D. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23884 · Cited by 175 · see citing works
Self-citationThe role of the hippocampus in memory and mental construction
Sheldon, S., & Levine, B. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13006 · Cited by 155 · see citing works
Murphy, C., Wang, H.-T., Konu, D., Lowndes, R., Margulies, D. S., Jefferies, E., & Smallwood, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.009 · Cited by 124 · see citing works
Spreng, R. N., Karlawish, J. H., & Marson, D. C. (2016) · Journal of Elder Abuse & Neglect · doi:10.1080/08946566.2016.1237918 · Cited by 131 · see citing works
Self-citationMadore, K. P., Szpunar, K. K., Addis, D. R., & Schacter, D. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612278113 · Cited by 104 · see citing works
Self-citationMedea, B., Karapanagiotidis, T., Konishi, M., Ottaviani, C., Margulies, D. S., Bernasconi, A., Bernasconi, N., Bernhardt, B. C., Jefferies, E., & Smallwood, J. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4729-y · Cited by 102 · see citing works
Common and distinct brain networks underlying verbal and visual creativity
Zhu, W., Chen, Q., Xia, L., Beaty, R. E., Yang, W., Tian, F., Sun, J., Cao, G., Zhang, Q., Chen, X., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23507 · Cited by 103 · see citing works
Chen, Q., Beaty, R. E., & Qiu, J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25025 · Cited by 91 · see citing works
Bellana, B., Liu, Z. ‐., Diamond, N. B., Grady, C. L., & Moscovitch, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23445 · Cited by 75 · see citing works
Lee, S., Parthasarathi, T., & Kable, J. W. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1273-20.2021 · Cited by 73 · see citing works
Infrastructural intelligence: Contemporary entanglements between neuroscience and AI
Bruder, J. (2017) · Progress in brain research · doi:10.1016/bs.pbr.2017.06.004 · Cited by 55 · see citing works
Escaping the Past: Contributions of the Hippocampus to Future Thinking and Imagination
Schacter, D. L., Addis, D. R., & Szpunar, K. K. (2017) · The Hippocampus from Cells to Systems · doi:10.1007/978-3-319-50406-3_14 · Cited by 54 · see citing works
Self-citationTasks activating the default mode network map multiple functional systems
Mancuso, L., Cavuoti-Cabanillas, S., Liloia, D., Manuello, J., Buzi, G., Duca, S., Cauda, F., & Costa, T. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02467-0 · Cited by 53 · see citing works
Hill, P. F., Yi, R., Spreng, R. N., & Diana, R. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.071 · Cited by 48 · see citing works
Self-citationBarzykowski, K., Radel, R., Niedźwieńska, A., & Kvavilashvili, L. (2018) · Psychological Research · doi:10.1007/s00426-018-1120-6 · Cited by 42 · see citing works
The Hippocampus and Social Cognition
Laurita, A. C., & Spreng, R. N. (2017) · Springer eBooks · doi:10.1007/978-3-319-50406-3_17 · Cited by 38 · see citing works
Self-citationIrish, M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108580298.027 · Cited by 37 · see citing works
The Neuroscience of Spontaneous Thought: An Evolving, Interdisciplinary FieldPreprint
Andrews‐Hanna, J. R., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Kalina Christoff, A. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1704.02533 · Cited by 39 · see citing works
Self-citationDivergent thinking and constructing future events: dissociating old from new ideas
Thakral, P. P., Yang, A. C., Addis, D. R., & Schacter, D. L. (2021) · Memory · doi:10.1080/09658211.2021.1940205 · Cited by 36 · see citing works
Self-citationWhat if? Neural activity underlying semantic and episodic counterfactual thinking
Parikh, N., Ruzic, L. L., Stewart, G. W., Spreng, R. N., & Brigard, F. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.053 · Cited by 26 · see citing works
Self-citationThe effects of psychiatric history and age on self-regulation of the default mode network
Skouras, S., & Scharnowski, F. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.008 · Cited by 24 · see citing works
Jones, N. P., Fournier, J. C. J., & Stone, L. B. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.069 · Cited by 23 · see citing works
Spreng, R. N., Madore, K. P., & Schacter, D. L. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.025 · Cited by 22 · see citing works
Self-citationNeural signatures underlying deliberation in human foraging decisions
Abram, S. V., Hanke, M., Redish, A. D., & MacDonald, A. W. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00733-z · Cited by 21 · see citing works
O’Donnell, S. E., Daniel, T. O., Koroschetz, J., KILANOWSKI, C. K., Otminski, A., Bickel, W. K., & Epstein, L. H. (2018) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2108 · Cited by 17 · see citing works
The Neuroscience of Imaginative Thought: An Integrative Framework
Raffaelli, Q., Wilcox, R. R., & Andrews‐Hanna, J. R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108580298.021 · Cited by 16 · see citing works
Imagining future events in patients with unilateral temporal lobe epilepsy
Lechowicz, M., Miller, L. A., Irish, M., Addis, D. R., Mohamed, A., & Lah, S. S. (2016) · British Journal of Clinical Psychology · doi:10.1111/bjc.12107 · Cited by 15 · see citing works
Murphy, C., Jefferies, E., Rueschemeyer, S., Sormaz, M., Wang, H.-T., Margulies, D. S., & Smallwood, J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/150466 · Cited by 14 · see citing works
Hsu, C., & Sonuga-Barke, E. J. S. (2016) · Brain Research · doi:10.1016/j.brainres.2016.03.040 · Cited by 12 · see citing works
Higher Sensory Sensitivity is Linked to Greater Expansion Amongst Functional Connectivity Gradients
del Río, M., Racey, C., Ren, Z., Qiu, J., Wang, H.-T., & Ward, J. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05772-z · Cited by 11 · see citing works
Brain Functional Correlates of Episodic Memory Using an Ecological Free Recall Task
Neri, F., Cappa, S. F., Mencarelli, L., Momi, D., Santarnecchi, E., & Rossi, S. (2021) · Brain Sciences · doi:10.3390/brainsci11070911 · Cited by 8 · see citing works
Peters, S. L., & Sheldon, S. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112911 · Cited by 7 · see citing works
Peña, J., Muthalib, M., Beaty, R. E., Sampedro, A., Ibarretxe‐Bilbao, N., Zubiaurre‐Elorza, L., García‐Guerrero, M. A., Cortazar, I., Niso, M., & Ojeda, N. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2219953 · Cited by 7 · see citing works
Toward a neuro-inspired creative decoder
Das, P., Quanz, B., Chen, P., Ahn, J., & Shah, D. (2020) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2020/381 · Cited by 7 · see citing works
Mind the gap: Congruence between present and future motivational states shapes prospective decisions
Setton, R., Fisher, G., & Spreng, R. N. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107130 · Cited by 7 · see citing works
Self-citationConstructive Episodic Simulation: Cognitive and Neural Processes
van Genugten, R. D. I., & Schacter, D. L. (2021) · Springer eBooks · doi:10.1007/978-3-030-51890-5_22 · Cited by 5 · see citing works
Self-citationPerkins, A. M., Arnone, D., Smallwood, J., & Mobbs, D. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.11.001 · Cited by 4 · see citing works
Default Mode Network spatial configuration varies across task domainsPreprint
Mancuso, L., Cavuoti-Cabanillas, S., Liloia, D., Manuello, J., Buzi, G., Duca, S., Cauda, F., & Costa, T. (2021) · bioRxiv · doi:10.1101/2021.03.17.435799 · Cited by 3 · see citing works
Kinley, I., & Becker, S. (2025) · Memory · doi:10.1080/09658211.2025.2537802 · Cited by 1 · see citing works
He, H. T., Leng, B., Shi, J., Zhang, X., Li, T., & Zhang, X. (2025) · Consciousness and Cognition · doi:10.1016/j.concog.2025.103957 · Cited by 1 · see citing works
Assessing imminent suicide risk: What about future planning?
Shobassy, A. (2022) · Current Psychiatry · doi:10.12788/cp.0213 · Cited by 1 · see citing works
Functions of the Human Hippocampus
Barry, D. N., & Maguire, E. A. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0013
Cherry, J., Nelson, A. M., Robinson, L. A., Goldstein, J., Vives‐Rodriguez, A., Sharp, E. S., & Tinaz, S. (2025) · medRxiv · doi:10.1101/2025.03.14.25324001
Cherry, J., Nelson, A. M., Robinson, L. A., Goldstein, J., Vives‐Rodriguez, A., Sharp, E. S., & Tinaz, S. (2026) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2025.2608220
Oberlin, B. G., Džemidžić, M., Shen, Y. I., & Nelson, A. (2026) · Substance Abuse and Rehabilitation · doi:10.2147/sar.s596437
Kam, J. W. Y., Spreng, R. N., Mills, C., & Cleary, A. M. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106966
Self-citation
- Authors
- Spreng, R. N., Gerlach, K. D., Turner, G. R., & Schacter, D. L.
- Affiliations
- Cornell University (US)
- Harvard University (US)
- York University (CA)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2015-11-01
- Volume
- 27
- Issue
- 11
- Pages
- 2147-2157
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC4711352
- OpenAlex
- W1935817511
- Cited by
- 52
- References
- 45
- Citations by year
- 2026: 3 · 2025: 4 · 2023: 1 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 4 · 2018: 6 · 2017: 11 · 2016: 7 · 2015: 2
- FWCI
- 12.93
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eScholarship@McGill (McGill) (submittedVersion)
- Funders
- National Institute of Mental Health (MH 060941, R01MH060941)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- goal-directed behavior, default mode network, executive function, frontoparietal cortex, medial temporal lobe, temporal distance, abstract planning
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Oxygen, Problem Solving, Statistics as Topic, Young Adult, Memory, Episodic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
