Causal Contribution of Awake Post-encoding Processes to Episodic Memory Consolidation

Arielle Tambini, Mark D'Esposito, Arielle Tambini, Mark D'Esposito

Abstract

Stable representations of past experience are thought to depend on processes that unfold after events are initially encoded into memory. Post-encoding reactivation and hippocampal-cortical interactions are leading candidate mechanisms thought to support memory retention and stabilization across hippocampal-cortical networks. Although putative consolidation mechanisms have been observed during sleep and periods of awake rest, the direct causal contribution of awake consolidation mechanisms to later behavior is unclear, especially in humans. Moreover, it has been argued that observations of putative consolidation processes are epiphenomenal and not causally important, yet there are few tools to test the functional contribution of these mechanisms in humans. Here, we combined transcranial magnetic stimulation (TMS) and fMRI to test the role of awake consolidation processes by targeting hippocampal interactions with lateral occipital cortex (LOC). We applied theta-burst TMS to LOC (and a control site) to interfere with an extended window (approximately 30-50 min) after memory encoding. Behaviorally, post-encoding TMS to LOC selectively impaired associative memory retention compared to multiple control conditions. In the control TMS condition, we replicated prior reports of post-encoding reactivation and memory-related hippocampal-LOC interactions during periods of awake rest using fMRI. However, post-encoding LOC TMS reduced these processes, such that post-encoding reactivation in LOC and memory-related hippocampal-LOC functional connectivity were no longer present. By targeting and manipulating post-encoding neural processes, these findings highlight the direct contribution of awake time periods to episodic memory consolidation. This combined TMS-fMRI approach provides an opportunity for causal manipulations of human memory consolidation.

Keywords: awake rest; causal manipulations; fMRI-TMS; hippocampal-cortical interactions; hippocampus; lateral occipital cortex; memory consolidation; reactivation; resting state; transcranial magnetic stimulation.

Conflict of interest statement

Declaration of Interests The authors declare no competing interests.

Copyright © 2020 Elsevier Inc. All rights reserved.

Figures

Figure 1.. Experimental Design.
Figure 1.. Experimental Design.
(A) Participants completed a Baseline Session and Main TMS-fMRI Session. Theta-burst TMS was administered after the Immediate memory test. Participants returned approximately three and 24 hours after TMS for surprise Delayed memory tests. A unique subset of stimuli were tested in each memory test. Memory tests were performed outside of the MRI scanner. (B) TMS sites (LOC, blue; Control, black) are shown in MNI space.
Figure 2.. Memory retention (delayed divided by…
Figure 2.. Memory retention (delayed divided by immediate memory accuracy).
(A) Associative memory (associative hits minus associative false alarms) retention differed across groups, with reduced retention after LOC TMS. (B) No reliable influence of TMS was found on Item memory (item hits minus false alarms) retention. A significant TMS site by memory-type (associative versus item retention) interaction was found, indicated by the comparison across plots. Error bars show standard error of the mean. *P < .05, **P < .005. See also Figures S1, S2, Tables S1, S2.
Figure 3.. Post-encoding reactivation in LOC.
Figure 3.. Post-encoding reactivation in LOC.
(A) Analysis approach: object and face classifiers (yellow box) were trained in each participant (using data from functional localizer scans) and LOC patterns were extracted from volumes during rest and encoding were fed into the classifiers (depicted as vectors). Reactivation evidence was operationalized as an increase in the proportion of volumes classified as a face or object from Baseline to Post-Encoding Rest scans (increase in green squares). (B) As expected, a stimulus-evoked increase in classifier evidence (proportion of volumes classified as a face or object) was found during object-face encoding in both TMS groups (LOC, blue; Control, gray). Shaded region represents standard error of the mean across participants. (C) Reactivation evidence or change in the proportion of time-points classified as a face or object from Baseline to each Post-Encoding Rest scan. An increase was found in the Control TMS group (gray bars) but not the LOC TMS group, with a significant difference between TMS groups. *P < .05, **P < .005. See also Figures S3, S4.
Figure 4.. Post-encoding reactivation in the hippocampus.
Figure 4.. Post-encoding reactivation in the hippocampus.
(A) Analysis approach: denoised hippocampal encoding patterns were extracted (matrix on the left) and PCA was performed on each participant’s data, resulting in principal component (PC) encoding patterns (vectors on the right). Trial-triggered averages of the temporal projection of encoding PCs showing stimulus-evoked activity are displayed to the right of PC patterns. Shaded region depicts standard error of the mean across trials. (B) Reactivation evidence (change in the proportion of variance explained by each encoding PC from Baseline to Post-Encoding Rest) is shown for the top four PCs for each TMS group and scan (lightest bar = first Post-Encoding scan, second bar = second Post-Encoding scan, darkest bar = third Post-Encoding scan). Reactivation evidence is present in the Control TMS group, but not the LOC TMS group. (C) Correlation (Fisher Z-transformed) between the strength of each hippocampal encoding PC (eigenvalue) and its reactivation evidence (change in variance explained from Baseline to the average across Post-Encoding Rest scans) was assessed for each participant. A significant correlation is found in the Control TMS group, but not in the LOC TMS group. *P < .05
Figure 5.. Relationships between Post-Encoding measures and…
Figure 5.. Relationships between Post-Encoding measures and memory retention.
(A) Hippocampal ROI (right) defined from a subsequent associative memory contrast across all participants. Experience-dependent changes in hippocampal-LOC FC (from Baseline to the average across Post-Encoding Rest scans, Fisher Z-transformed) were related to same-day associative memory retention across participants in the Control TMS group (left), but not in the LOC TMS group (right). A significant difference was found between these correlations. Robust regression was used for all across-participant correlations. (B) The same as (A), using a hippocampal ROI defined from Control TMS participants. (C) The same as (A), using a hippocampal ROI defined from LOC TMS participants. (D) Summary score of reactivation measures was positively correlated with same-day associative memory retention in the Control TMS group, but not in the LOC TMS group. Summary reactivation score was derived from PCA on five measures: LOC reactivation (two measures), hippocampal reactivation (two measures), and changes in hippocampal-LOC FC. Vector below scatterplots depicts weighting of these measures to construct summary score (first PC). *P < .05
Figure 6.. Exploratory analyses of whole-brain changes…
Figure 6.. Exploratory analyses of whole-brain changes in hippocampal interactions related to next-day memory retention.
(A) Correlations between hippocampal (Figure 5A) FC changes across the whole brain and next-day associative memory retention (FWE-corrected using permutation testing). The only regions surviving FWE-correction are shown: retrosplenial cortex in the Control TMS group and right anterior temporal cortex in the LOC TMS group. Maps are shown on study-specific group-level template brain. (B) Patterns of correlations between hippocampal FC changes and next-day associative memory retention were repeatedly estimated for random subsets of each TMS group (left and middle) and a mixed set of participants across TMS groups (right) using subsampling. Plot shows similarity or correlation of these patterns across subsamples within each TMS group, within the mixed group, and the between-group similarity. Bars show mean Fisher Z-transformed correlation (similarity) and error bars show the standard deviation of Fisher Z-transformed correlations across iterations. *P < .001. See also Figure S5

References

    1. McGaugh JL (2000). Memory--a Century of Consolidation. Science (80-.) 287, 248–251. Available at: [Accessed August 6, 2013].
    1. McClelland JL, McNaughton BL, and O’Reilly RC (1995). Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychol Rev 102, 419–457. Available at: .
    1. Winocur G, Sekeres MJ, Binns MA, and Moscovitch M (2013). Hippocampal lesions produce both nongraded and temporally graded retrograde amnesia in the same rat. Hippocampus 23, 330–341.
    1. Squire LR, Genzel L, Wixted JT, and Morris RG (2015). Memory Consolidation. Cold Spring Harb. Perspect. Biol, 1–21.
    1. Frankland PW, and Bontempi B (2005). The organization of recent and remote memories. Nat Rev Neurosci 6, 119–30. Available at: [Accessed August 11, 2013].
    1. Diekelmann S, and Born J (2010). The memory function of sleep. Nat Rev Neurosci 11, 114–26. Available at: [Accessed August 9, 2013].
    1. Sutherland GR, and McNaughton BL (2000). Memory trace reactivation in hippocampal and neocortical neuronal ensembles. Curr Opin Neurobiol 10, 180–186. Available at: .
    1. O’Neill J, Pleydell-Bouverie B, Dupret D, and Csicsvari J (2010). Play it again: reactivation of waking experience and memory. Trends Neurosci. 33, 220–9. Available at: [Accessed August 14, 2013].
    1. Alvarez P, and Squire LR (1994). Memory consolidation and the medial temporal lobe: a simple network model. Proc Natl Acad Sci U S A 91, 7041–5. Available at: .
    1. Mednick SC, Cai DJ, Shuman T, Anagnostaras S, and Wixted JT (2011). An opportunistic theory of cellular and systems consolidation. Trends Neurosci. 34, 504–14. Available at: [Accessed March 29, 2013].
    1. Buzsáki G (1989). Two-stage model of memory trace formation: a role for “noisy” brain states. Neuroscience 31, 551–570. Available at: .
    1. Dupret D, O’Neill J, Pleydell-Bouverie B, and Csicsvari J (2010). The reorganization and reactivation of hippocampal maps predict spatial memory performance. Nat Neurosci 13, 995–1002. Available at: .
    1. Tambini A, Ketz N. a., and Davachi L (2010). Enhanced brain correlations during rest are related to memory for recent experiences. Neuron 65, 280–290. Available at: .
    1. Tambini A, and Davachi L (2013). Persistence of hippocampal multivoxel patterns into postencoding rest is related to memory. Proc. Natl. Acad. Sci. U. S. A 110, 19591–6. Available at: [Accessed January 23, 2014].
    1. Murty VP, Tompary A, Adcock RA, and Davachi L (2017). Selectivity in post-encoding connectivity with high-level visual cortex is associated with reward-motivated memory. J. Neurosci 37, 537–545. Available at: .
    1. Staresina BP, Alink A, Kriegeskorte N, and Henson RN (2013). Awake reactivation predicts memory in humans. Proc. Natl. Acad. Sci 110, 21159–21164. Available at: [Accessed December 11, 2013].
    1. Gruber MJ, Ritchey M, Wang S, Doss MK, and Ranganath C (2016). Post-learning Hippocampal Dynamics Promote Preferential Retention of Rewarding Events. Neuron 89, 1110–1120. Available at: 10.1016/j.neuron.2016.01.017.
    1. Schapiro AC, McDevitt EA, Rogers TT, Mednick SC, and Norman KA (2018). Human hippocampal replay during rest prioritizes weakly-learned information and predicts memory performance. Nat. Commun, 3920 Available at: .
    1. Deuker L, Olligs J, Fell J, Kranz T. a., Mormann F, Montag C, Reuter M, Elger CE, and Axmacher N (2013). Memory Consolidation by Replay of Stimulus-Specific Neural Activity. J. Neurosci 33, 19373–19383. Available at: [Accessed December 4, 2013].
    1. Liu Z-X, Grady CL, and Moscovitch M (2017). The effect of prior knowledge on post-encoding brain connectivity and its relation to subsequent memory. Neuroimage 167, 211–223. Available at: .
    1. Tambini A, and Davachi L (2019). Awake Reactivation of Prior Experiences Consolidates Memories and Biases Cognition. Trends Cogn. Sci 23, 876–890. Available at: .
    1. O’Neill J, Senior TJ, Allen K, Huxter JR, and Csicsvari J (2008). Reactivation of experience-dependent cell assembly patterns in the hippocampus. Nat. Neurosci 11, 209–15. Available at: [Accessed August 8, 2013].
    1. Singer AC, and Frank LM (2009). Rewarded outcomes enhance reactivation of experience in the hippocampus. Neuron 64, 910–21. Available at: [Accessed August 18, 2013].
    1. Gomperts SN, Kloosterman F, and Wilson MA (2015). VTA neurons coordinate with the hippocampal reactivation of spatial experience. Elife 4, 1–22.
    1. Yonelinas AP, Ranganath C, Ekstrom AD, and Wiltgen BJ (2019). A contextual binding theory of episodic memory: systems consolidation reconsidered. Nat. Rev. Neurosci 20, 364–375. Available at: 10.1038/s41583-019-0150-4.
    1. Ego-Stengel V, and Wilson MA (2010). Disruption of ripple-associated hippocampal activity during rest impairs spatial learning in the rat. Hippocampus 20, 1–10. Available at: .
    1. Girardeau G, Benchenane K, Wiener SI, Buzsáki G, and Zugaro MB (2009). Selective suppression of hippocampal ripples impairs spatial memory. Nat Neurosci 12, 1222–1223. Available at: .
    1. Nokia MS, Mikkonen JE, Penttonen M, and Wikgren J (2012). Disrupting neural activity related to awake-state sharp wave-ripple complexes prevents hippocampal learning. Front. Behav. Neurosci 6, 84 Available at: [Accessed September 24, 2013].
    1. van de Ven GM, Trouche S, McNamara CG, Allen K, and Dupret D (2016). Hippocampal Offline Reactivation Consolidates Recently Formed Cell Assembly Patterns during Sharp Wave-Ripples. Neuron 92, 968–974. Available at: .
    1. Roux L, Hu B, Eichler R, Stark E, and Buzsáki G (2017). Sharp wave ripples during learning stabilize the hippocampal spatial map. Nat. Neurosci 20, 845–853.
    1. Fernández-Ruiz A, Oliva A, Fermino de Oliveira E, Rocha-Almeida F, Tingley D, and Buzsáki G (2019). Long-duration hippocampal sharp wave ripples improve memory. Science (80-.) 364, 1082–1086. Available at: .
    1. Lustenberger C, Boyle MR, Alagapan S, Mellin JM, Vaughn BV, and Frohlich F (2016). Feedback-Controlled Transcranial Alternating Current Stimulation Reveals a Functional Role of Sleep Spindles in Motor Memory Consolidation. Curr Biol, 1–10.
    1. Ngo H-VV, Martinetz T, Born J, and Mölle M (2013). Auditory closed-loop stimulation of the sleep slow oscillation enhances memory. Neuron 78, 545–53. Available at: [Accessed September 23, 2013].
    1. Ketz N, Jones A, Bryant N, Clark VP, and Pilly PK (2018). Closed-loop slow-wave tACS improves sleep dependent long-term memory generalization by modulating endogenous oscillations. J. Neurosci
    1. Cairney SA, Guttesen A. á. V., El Marj N, and Staresina BP (2018). Memory Consolidation Is Linked to Spindle-Mediated Information Processing during Sleep. Curr. Biol 28, 948–954.e4.
    1. Oudiette D, and Paller KA (2013). Upgrading the sleeping brain with targeted memory reactivation. Trends Cogn. Sci 17, 142–9. Available at: [Accessed August 14, 2013].
    1. Rasch B, Buchel C, Gais S, and Born J (2007). Odor cues during slow-wave sleep prompt declarative memory consolidation. Science (80-.) 315, 1426–1429. Available at: .
    1. Foster DJ, and Wilson MA (2006). Reverse replay of behavioural sequences in hippocampal place cells during the awake state. Nature 440, 680–683. Available at: .
    1. Ólafsdóttir HF, Bush D, and Barry C (2018). The Role of Hippocampal Replay in Memory and Planning. Curr. Biol 28, R37–R50. Available at: .
    1. Joo HR, and Frank LM (2018). The hippocampal sharp wave–ripple in memory retrieval for immediate use and consolidation. Nat. Rev. Neurosci 19, 744–757. Available at: 10.1038/s41583-018-0077-1.
    1. Schlichting ML, and Preston AR (2014). Memory reactivation during rest supports upcoming learning of related content. Proc. Natl. Acad. Sci 111, 15845–15850. Available at: [Accessed October 21, 2014].
    1. de Voogd LD, Fernández G, and Hermans EJ (2016). Awake reactivation of emotional memory traces through hippocampal–neocortical interactions. Neuroimage 134, 563–572. Available at: .
    1. Kark SM, and Kensinger EA (2019). Post-encoding Amygdala-Visuosensory Coupling Is Associated with Negative Memory Bias in Healthy Young Adults. J. Neurosci, 2834–18. Available at: .
    1. Huang YZ, Edwards MJ, Rounis E, Bhatia KP, and Rothwell JC (2005). Theta burst stimulation of the human motor cortex. Neuron 45, 201–6. Available at: [Accessed December 12, 2013].
    1. Wischnewski M, and Schutter DJLG (2015). Efficacy and time course of theta burst stimulation in healthy humans. Brain Stimul. 8, 685–692. Available at: 10.1016/j.brs.2015.03.004.
    1. Chung SW, Hill AT, Rogasch NC, Hoy KE, and Fitzgerald PB (2016). Use of theta-burst stimulation in changing excitability of motor cortex: A systematic review and meta-analysis. Neurosci. Biobehav. Rev 63, 43–64. Available at: 10.1016/j.neubiorev.2016.01.008.
    1. Hubl D, Nyffeler T, Wurtz P, Chaves S, Pflugshaupt T, Lüthi M, von Wartburg R, Wiest R, Dierks T, Strik WK, et al. (2008). Time course of blood oxygenation level-dependent signal response after theta burst transcranial magnetic stimulation of the frontal eye field. Neuroscience 151, 921–8. Available at: [Accessed December 8, 2014].
    1. Davachi L (2006). Item, context and relational episodic encoding in humans. Curr Opin Neurobiol 16, 693–700. Available at: .
    1. Diana R. a, Yonelinas AP, and Ranganath C (2007). Imaging recollection and familiarity in the medial temporal lobe: a three-component model. Trends Cogn. Sci 11, 379–86. Available at: [Accessed January 13, 2014].
    1. Mayes A, Montaldi D, and Migo E (2007). Associative memory and the medial temporal lobes. Trends Cogn. Sci 11, 126–135.
    1. Guidotti R, Del Gratta C, Baldassarre A, Romani GL, and Corbetta M (2015). Visual Learning Induces Changes in Resting-State fMRI Multivariate Pattern of Information. J. Neurosci 35, 9786–9798. Available at: .
    1. Bang JW, Sasaki Y, Watanabe T, and Rahnev D (2018). Feature-Specific Awake Reactivation in Human V1 after Visual Training. J. Neurosci 38, 9648–9657. Available at: .
    1. Battaglia FP, Benchenane K, Sirota A, Pennartz CMA, and Wiener SI (2011). The hippocampus: hub of brain network communication for memory. Trends Cogn. Sci 15, 310–8. Available at: [Accessed September 20, 2013].
    1. Feld GB, and Born J (2017). Sculpting memory during sleep: concurrent consolidation and forgetting. Curr. Opin. Neurobiol 44, 20–27. Available at: 10.1016/j.conb.2017.02.012.
    1. Fuentemilla L, Miró J, Ripollés P, Vilà-Balló A, Juncadella M, Castañer S, Salord N, Monasterio C, Falip M, and Rodríguez-Fornells A (2013). Hippocampus-dependent strengthening of targeted memories via reactivation during sleep in humans. Curr. Biol 23, 1769–75. Available at: [Accessed November 13, 2013].
    1. Dewar MT, Alber J, Cowan N, and Della Sala S (2014). Boosting Long-Term Memory via Wakeful Rest: Intentional Rehearsal Is Not Necessary, Consolidation Is Sufficient. PLoS One 9, e109542 Available at: [Accessed October 21, 2014].
    1. Tompary A, Duncan KD, and Davachi L (2015). Consolidation of Associative and Item Memory Is Related to Post-Encoding Functional Connectivity between the Ventral Tegmental Area and Different Medial Temporal Lobe Subregions during an Unrelated Task. J. Neurosci 35, 7326–31. Available at: .
    1. Sadeh T, Ozubko JD, Winocur G, and Moscovitch M (2014). How we forget may depend on how we remember. Trends Cogn. Sci 18, 26–36. Available at: [Accessed December 12, 2013].
    1. Sadeh T, Ozubko JD, Winocur G, and Moscovitch M (2016). Forgetting Patterns Differentiate Between Two Forms of Memory Representation. Psychol. Sci 27, 810–820. Available at: .
    1. Tompary A, and Davachi L (2017). Consolidation Promotes the Emergence of Representational Overlap in the Hippocampus and Medial Prefrontal Cortex. Neuron 96, 228–241.e5. Available at: 10.1016/j.neuron.2017.09.005.
    1. Murty VP, DuBrow S, and Davachi L (2018). Decision-making Increases Episodic Memory via Postencoding Consolidation. J. Cogn. Neurosci 26, 1–10. Available at: .
    1. Sandrini M, Censor N, Mishoe J, and Cohen LG (2013). Causal Role of Prefrontal Cortex in Strengthening of Episodic Memories through Reconsolidation. Curr. Biol 23, 2181–4. Available at: [Accessed December 13, 2013].
    1. Censor N, Horovitz SG, and Cohen LG (2014). Interference with Existing Memories Alters Offline Intrinsic Functional Brain Connectivity. Neuron 81, 69–76. Available at: [Accessed January 9, 2014].
    1. Tunovic S, Press DZ, and Robertson EM (2014). A Physiological Signal That Prevents Motor Skill Improvements during Consolidation. J. Neurosci 34, 5302–5310. Available at: .
    1. Galea JM, Albert NB, Ditye T, and Miall RC (2010). Disruption of the dorsolateral prefrontal cortex facilitates the consolidation of procedural skills. J. Cogn. Neurosci 22, 1158–64. Available at: .
    1. Robertson EM, Press DZ, and Pascual-Leone A (2005). Off-line learning and the primary motor cortex. J. Neurosci 25, 6372–8. Available at: [Accessed September 24, 2013].
    1. De Weerd P, Reithler J, van de Ven V, Been M, Jacobs C, and Sack AT (2012). Posttraining transcranial magnetic stimulation of striate cortex disrupts consolidation early in visual skill learning. J. Neurosci 32, 1981–8. Available at: [Accessed October 5, 2013].
    1. Bang JW, Milton D, Sasaki Y, Watanabe T, and Rahnev D (2019). Post-training TMS abolishes performance improvement and releases future learning from interference. Commun. Biol 2, 1–7. Available at: 10.1038/s42003-019-0566-4.
    1. Cohen D. a, and Robertson EM (2011). Preventing interference between different memory tasks. Nat. Neurosci 14, 953–5. Available at: [Accessed September 19, 2013].
    1. Craig M, Dewar MT, Harris MA, Della Sala S, and Wolbers T (2016). Wakeful rest promotes the integration of spatial memories into accurate cognitive maps. Hippocampus 26, 185–193.
    1. Craig M, Dewar MT, Della Sala S, and Wolbers T (2015). Rest boosts the long-term retention of spatial associative and temporal order information. Hippocampus 25, 1017–1027. Available at: .
    1. Brokaw K, Tishler W, Manceor S, Hamilton K, Gaulden A, Parr E, and Wamsley EJ (2016). Resting state EEG correlates of memory consolidation. Neurobiol. Learn. Mem 130, 17–25. Available at: 10.1016/j.nlm.2016.01.008.
    1. de Sousa AF, Cowansage KK, Zutshi I, Cardozo LM, Yoo EJ, Leutgeb S, and Mayford M (2019). Optogenetic reactivation of memory ensembles in the retrosplenial cortex induces systems consolidation. Proc. Natl. Acad. Sci, 201818432.
    1. Novitskaya Y, Sara SJ, Logothetis NK, and Eschenko O (2016). Ripple-triggered stimulation of the locus coeruleus during post-learning sleep disrupts ripple/spindle coupling and impairs memory consolidation. Learn. Mem 23, 238–248.
    1. Huang YZ, Chen R-S, Rothwell JC, and Wen H-Y (2007). The after-effect of human theta burst stimulation is NMDA receptor dependent. Clin. Neurophysiol 118, 1028–32.
    1. Cheeran B, Talelli P, Mori F, Koch G, Suppa A, Edwards M, Houlden H, Bhatia K, Greenwood R, and Rothwell JC (2008). A common polymorphism in the brain-derived neurotrophic factor gene (BDNF) modulates human cortical plasticity and the response to rTMS. J. Physiol 586, 5717–5725.
    1. Hoogendam JM, Ramakers GMJ, and Di Lazzaro V (2010). Physiology of repetitive transcranial magnetic stimulation of the human brain. Brain Stimul. 3, 95–118.
    1. Huang YZ, Lu MK, Antal A, Classen J, Nitsche M, Ziemann U, Ridding M, Hamada M, Ugawa Y, Jaberzadeh S, et al. (2017). Plasticity induced by non-invasive transcranial brain stimulation: A position paper. Clin. Neurophysiol 128, 2318–2329. Available at: 10.1016/j.clinph.2017.09.007.
    1. Wamsley EJ (2019). Memory Consolidation during Waking Rest. Trends Cogn. Sci 23, 171–173. Available at: 10.1016/j.tics.2018.12.007.
    1. Tambini A, Berners-Lee A, and Davachi L (2017). Brief targeted memory reactivation during the awake state enhances memory stability and benefits the weakest memories. Sci. Rep 7, 1–50.
    1. Stickgold R, and Walker MP (2013). Sleep-dependent memory triage: evolving generalization through selective processing. Nat. Neurosci 16, 139–45.
    1. Stark CEL, and Squire LR (2001). When zero is not zero: the problem of ambiguous baseline conditions in fMRI. Proc Natl Acad Sci U S A 98, 12760–12766.
    1. Pitcher D, Duchaine B, Walsh V, Yovel G, and Kanwisher NG (2011). The role of lateral occipital face and object areas in the face inversion effect. Neuropsychologia 49, 3448–53.
    1. Gratton C, Lee TG, Nomura EM, and D’Esposito M (2013). The effect of theta-burst TMS on cognitive control networks measured with resting state fMRI. Front. Syst. Neurosci 7, 124.
    1. Nee DE, and D’Esposito M (2017). Causal evidence for lateral prefrontal cortex dynamics supporting cognitive control. Elife 6, 1–19.
    1. Tambini A, Nee DE, and D’Esposito M (2018). Hippocampal-targeted Theta-burst Stimulation Enhances Associative Memory Formation. J. Cogn. Neurosci 26, 194–198.
    1. Yeo BTT, Krienen FM, Chee MWL, and Buckner RL (2013). Estimates of segregation and overlap of functional connectivity networks in the human cerebral cortex. Neuroimage 88C, 212–227.
    1. Avants BB, Epstein CL, Grossman M, and Gee JC (2008). Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal 12, 26–41.
    1. Power JD, Barnes K. a, Snyder AZ, Schlaggar BL, and Petersen SE (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59, 2142–54.
    1. Behzadi Y, Restom K, Liau J, and Liu TT (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage 37, 90–101.
    1. Schwarzlose RF, Swisher JD, Dang S, and Kanwisher NG (2008). The distribution of category and location information across object-selective regions in human visual cortex. Proc Natl Acad Sci U S A 105, 4447–4452.
    1. Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968–80.
    1. Wilson MA, and McNaughton BL (1994). Reactivation of hippocampal ensemble memories during sleep. Science. 265, 676–679. Available at: .
    1. Huffman DJ, and Stark CEL (2014). Multivariate pattern analysis of the human medial temporal lobe revealed representationally categorical cortex and representationally agnostic hippocampus. Hippocampus 24, 1394–403. Available at: [Accessed October 22, 2014].
    1. Patenaude B, Smith SM, Kennedy DN, and Jenkinson M (2011). A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage.
    1. Pruessner JC, Li LM, Serles W, Pruessner M, Collins DL, Kabani N, Lupien S, and Evans a C. (2000). Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories. Cereb. cortex 10, 433–42. Available at: .

Source: PubMed

3
Suscribir