Sustained upregulation of widespread hippocampal–neocortical coupling following memory encoding

Systems consolidation of new experiences into lasting episodic memories involves interactions between hippocampus and the neocortex. Evidence of this process is seen already during early awake post-encoding rest periods. Functional MRI (fMRI) studies have demonstrated increased hippocampal coupling with task-relevant perceptual regions and reactivation of stimulus-specific encoding patterns following intensive encoding tasks. Here we investigate the spatial and temporal characteristics of these hippocampally anchored post-encoding neocortical modulations. Eighty-nine adults participated in an experiment consisting of interleaved memory task- and resting-state periods. As expected, we observed increased post-encoding functional connectivity between hippocampus and individually localized neocortical regions responsive to stimulus categories encountered during memory encoding. Post-encoding modulations were however not restricted to stimulus-selective cortex, but manifested as a nearly system-wide upregulation in hippocampal coupling with all major functional networks. The spatial configuration of these extensive modulations resembled hippocampal-neocortical interaction patterns estimated from active encoding operations, suggesting hippocampal post-encoding involvement by far exceeds reactivation of perceptual aspects. This reinstatement of encoding patterns during immediate post-encoding rest was not observed in resting-state scans collected 12 hours later, nor in control analyses estimating post-encoding neocortical modulations in functional connectivity using other candidate seed regions. The broad similarity in hippocampal functional coupling between online memory encoding and offline post-encoding rest suggests reactivation in humans may involve a spectrum of cognitive processes engaged during experience of an event. Significance statement Stabilization of newly acquired information into lasting memories occurs through systems consolidation – a process which gradually spreads the locus of memory traces from hippocampus to more distributed neocortical representations. One of the earliest signs of consolidation is the upregulation of hippocampal-neocortical interactions during periods of awake rest following an active encoding task. We here show that these modulations involve much larger parts of the brain than previously reported in humans. Comparing changes in hippocampal coupling during post-encoding rest with those observed under active encoding, we find evidence for encoding-like hippocampal reinstatement throughout cortex during task-free periods. This suggests early systems consolidation of an experience involves reactivating not only core sensory details but multiple additional aspects of the encoding event.

[1]  Markus H. Sneve,et al.  Reduced Hippocampal-Striatal Interactions during Formation of Durable Episodic Memories in Aging , 2021, Cerebral cortex.

[2]  R. Quentin,et al.  Consolidation of human skill linked to waking hippocampo-neocortical replay , 2021, bioRxiv.

[3]  M. Woolrich,et al.  Replay bursts in humans coincide with activation of the default mode and parietal alpha networks , 2020, Neuron.

[4]  J. Armony,et al.  Rapid hippocampal plasticity supports motor sequence learning , 2020, Proceedings of the National Academy of Sciences.

[5]  J. Damoiseaux,et al.  Differential Functional Connectivity in Anterior and Posterior Hippocampus Supporting the Development of Memory Formation , 2020, Frontiers in Human Neuroscience.

[6]  L. Ferrucci,et al.  Hippocampal activation and connectivity in the aging brain , 2020, Brain Imaging and Behavior.

[7]  John D. Murray,et al.  Generative modeling of brain maps with spatial autocorrelation , 2020, NeuroImage.

[8]  L. Davachi,et al.  Awake Reactivation of Prior Experiences Consolidates Memories and Biases Cognition , 2019, Trends in Cognitive Sciences.

[9]  Guillén Fernández,et al.  Thalamo-cortical coupling during encoding and consolidation is linked to durable memory formation , 2019, NeuroImage.

[10]  Yunjie Tong,et al.  Low Frequency Systemic Hemodynamic “Noise” in Resting State BOLD fMRI: Characteristics, Causes, Implications, Mitigation Strategies, and Applications , 2019, Front. Neurosci..

[11]  Timothy E. J. Behrens,et al.  Human Replay Spontaneously Reorganizes Experience , 2019, Cell.

[12]  Maureen Ritchey,et al.  Cortico-hippocampal network connections support the multidimensional quality of episodic memory , 2019, bioRxiv.

[13]  N. Logothetis,et al.  Occurrence of Hippocampal Ripples is Associated with Activity Suppression in the Mediodorsal Thalamic Nucleus , 2018, The Journal of Neuroscience.

[14]  Raphael Vallat,et al.  Pingouin: statistics in Python , 2018, J. Open Source Softw..

[15]  B. Caffo,et al.  Modular preprocessing pipelines can reintroduce artifacts into fMRI data , 2018, bioRxiv.

[16]  Xin Di,et al.  Toward Task Connectomics: Examining Whole-Brain Task Modulated Connectivity in Different Task Domains , 2018, Cerebral cortex.

[17]  Satrajit S. Ghosh,et al.  FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018, Nature Methods.

[18]  Lila Davachi,et al.  Decision-making increases episodic memory via post-encoding consolidation , 2018, bioRxiv.

[19]  M. Rugg,et al.  Recollection-related increases in functional connectivity across the healthy adult lifespan , 2018, Neurobiology of Aging.

[20]  Lila Davachi,et al.  Consolidation Promotes the Emergence of Representational Overlap in the Hippocampus and Medial Prefrontal Cortex , 2017, Neuron.

[21]  Elizabeth A. McDevitt,et al.  Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance , 2017, Nature Communications.

[22]  David J. Foster Replay Comes of Age. , 2017, Annual review of neuroscience.

[23]  Evan M. Gordon,et al.  Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI , 2017, bioRxiv.

[24]  Xin Di,et al.  Imperfect (de)convolution may introduce spurious psychophysiological interactions and how to avoid it , 2017, Human brain mapping.

[25]  Jesse Rissman,et al.  Episodic Memory Retrieval Benefits from a Less Modular Brain Network Organization , 2017, The Journal of Neuroscience.

[26]  Lila Davachi,et al.  Selectivity in Postencoding Connectivity with High-Level Visual Cortex Is Associated with Reward-Motivated Memory , 2017, The Journal of Neuroscience.

[27]  Margaret L. Schlichting,et al.  Hippocampal–medial prefrontal circuit supports memory updating during learning and post-encoding rest , 2016, Neurobiology of Learning and Memory.

[28]  Özgür A. Onur,et al.  Resting-state fMRI evidence for early episodic memory consolidation: effects of age , 2016, Neurobiology of Aging.

[29]  Zeb Kurth-Nelson,et al.  Fast Sequences of Non-spatial State Representations in Humans , 2016, Neuron.

[30]  G. Fernández,et al.  Awake reactivation of emotional memory traces through hippocampal–neocortical interactions , 2016, NeuroImage.

[31]  Krzysztof J. Gorgolewski,et al.  MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites , 2016, bioRxiv.

[32]  John P. Aggleton,et al.  Thalamic pathology and memory loss in early Alzheimer’s disease: moving the focus from the medial temporal lobe to Papez circuit , 2016, Brain : a journal of neurology.

[33]  Matthias J. Gruber,et al.  Post-learning Hippocampal Dynamics Promote Preferential Retention of Rewarding Events , 2016, Neuron.

[34]  Markus H. Sneve,et al.  Brain Events Underlying Episodic Memory Changes in Aging: A Longitudinal Investigation of Structural and Functional Connectivity. , 2016, Cerebral cortex.

[35]  Mohit H. Adhikari,et al.  Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network , 2016, Current Biology.

[36]  G. Buzsáki Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning , 2015, Hippocampus.

[37]  P. Brockhoff,et al.  Tests in Linear Mixed Effects Models , 2015 .

[38]  Alberto Llera,et al.  ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data , 2015, NeuroImage.

[39]  Markus H. Sneve,et al.  Mechanisms Underlying Encoding of Short-Lived Versus Durable Episodic Memories , 2015, The Journal of Neuroscience.

[40]  Margaret L. Schlichting,et al.  Memory reactivation during rest supports upcoming learning of related content , 2014, Proceedings of the National Academy of Sciences.

[41]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[42]  A. Oeltermann,et al.  Hippocampal–cortical interactions during periods of subcortical silence , 2014 .

[43]  Michael Eickenberg,et al.  Machine learning for neuroimaging with scikit-learn , 2014, Front. Neuroinform..

[44]  R. Henson,et al.  Awake reactivation predicts memory in humans , 2013, Proceedings of the National Academy of Sciences.

[45]  Lorena Deuker,et al.  Memory Consolidation by Replay of Stimulus-Specific Neural Activity , 2013, The Journal of Neuroscience.

[46]  Sterling C. Johnson,et al.  A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches , 2012, NeuroImage.

[47]  L. Nyberg,et al.  Memory aging and brain maintenance , 2012, Trends in Cognitive Sciences.

[48]  Satrajit S. Ghosh,et al.  Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python , 2011, Front. Neuroinform..

[49]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[50]  Hongkeun Kim,et al.  Neural activity that predicts subsequent memory and forgetting: A meta-analysis of 74 fMRI studies , 2011, NeuroImage.

[51]  Margaret F. Carr,et al.  Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval , 2011, Nature Neuroscience.

[52]  M. McAndrews,et al.  Hippocampal–neocortical networks differ during encoding and retrieval of relational memory: Functional and effective connectivity analyses , 2010, Neuropsychologia.

[53]  M. Brodeur,et al.  The Bank of Standardized Stimuli (BOSS), a New Set of 480 Normative Photos of Objects to Be Used as Visual Stimuli in Cognitive Research , 2010, PloS one.

[54]  J. O’Neill,et al.  Play it again: reactivation of waking experience and memory , 2010, Trends in Neurosciences.

[55]  Guillén Fernández,et al.  Persistent schema-dependent hippocampal-neocortical connectivity during memory encoding and postencoding rest in humans , 2010, Proceedings of the National Academy of Sciences.

[56]  Nicholas A. Ketz,et al.  Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences , 2010, Neuron.

[57]  L. Davachi,et al.  Distortion and Signal Loss in Medial Temporal Lobe , 2009, PloS one.

[58]  B Maus,et al.  Optimization of Blocked Designs in fMRI Studies , 2009, NeuroImage.

[59]  M. Lavine,et al.  Long-Lasting Novelty-Induced Neuronal Reverberation during Slow-Wave Sleep in Multiple Forebrain Areas , 2004, PLoS biology.

[60]  Stefan Skare,et al.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.

[61]  Karl J. Friston,et al.  Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution , 2003, NeuroImage.

[62]  B L McNaughton,et al.  Coordinated Reactivation of Distributed Memory Traces in Primate Neocortex , 2002, Science.

[63]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[64]  N. Kanwisher,et al.  The lateral occipital complex and its role in object recognition , 2001, Vision Research.

[65]  Nancy Kanwisher,et al.  A cortical representation of the local visual environment , 1998, Nature.

[66]  N. Kanwisher,et al.  The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception , 1997, The Journal of Neuroscience.

[67]  L. Nadel,et al.  Memory consolidation, retrograde amnesia and the hippocampal complex , 1997, Current Opinion in Neurobiology.

[68]  P Alvarez,et al.  Memory consolidation and the medial temporal lobe: a simple network model. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[69]  S. Folstein,et al.  “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician , 1975 .

[70]  B. Laeng,et al.  Rewards of beauty: the opioid system mediates social motivation in humans , 2014, Molecular Psychiatry.

[71]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity , 2011 .

[72]  A. Beck,et al.  Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation , 1988 .

[73]  V. Leirer,et al.  Development and validation of a geriatric depression screening scale: a preliminary report. , 1982, Journal of psychiatric research.