Arjen Alink’s research while affiliated with University Medical Center Hamburg - Eppendorf and other places

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Publications (64)


Memory Boost for Recurring Emotional Events Is Driven by Initial Amygdala Response Promoting Stable Neocortical Patterns across Repetitions
  • Article
  • Full-text available

February 2025

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50 Reads

The Journal of Neuroscience : The Official Journal of the Society for Neuroscience

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Arjen Alink

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[...]

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Lars Schwabe

Emotionally arousing events are typically vividly remembered, which is generally adaptive but may contribute to mental disorders such as post-traumatic stress disorder. Previous research on emotional memory focused primarily on events that were experienced only once, leaving the memory mechanisms underlying repeatedly encountered emotional events largely unexplored. Here, we aimed to elucidate the brain mechanisms associated with memory for recurring emotional events. Specifically, we sought to determine whether the memory enhancement for recurring emotional events is linked to more variable neural representations, as predicted by the encoding-variability hypothesis, or to more stable representations across repetitions, as suggested by a memory reinstatement account. To investigate this, we repeatedly presented healthy men and women with images of emotionally negative or neutral scenes during three consecutive runs in an MRI scanner. Subsequent free recall was, as expected, enhanced for emotional compared with neutral images. Neural data showed that this emotional enhancement of memory was linked to (1) activation of the amygdala and anterior hippocampus during the initial encounter of the emotional event and (2) increased neural pattern similarity in frontoparietal cortices across event repetitions. Most importantly, a multilevel-moderated mediation analysis revealed that the impact of neocortical pattern stability across repetitions on emotional memory enhancement was moderated by amygdala activity during the initial exposure to the emotional event. Together, our findings show that the amygdala response during the initial encounter of an emotional event boosts subsequent remembering through a more precise reinstatement of the event representation during subsequent encounters of the same event.

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Experimental paradigm
On the first experimental day (Day 1), participants encoded 30 emotionally neutral and 30 negative pictures, each presented once in each of three consecutive runs. After a delay of 1d or 28d (Day 2), participants were presented with the encoded pictures, lures that were perceptually or semantically related to the old pictures or entirely novel, unrelated material in a recognition test. Both encoding and memory testing were conducted in an MRI scanner. On the third experimental day (Day 3), participants rated the individually perceived semantic and perceptual relatedness between each old image and their corresponding semantically related, perceptually related or unrelated lure. All depicted images are licensed under Creative Commons BY-SA License: image representing emotionally negative item at encoding (fire) is courtesy of Sylvain Pedneault (https://commons.wikimedia.org/wiki/File:Fire_inside_an_abandoned_convent_in_Massueville,_Quebec,_Canada.jpg; edited), image representing ‘old’ item is courtesy of W. Bulach (https://commons.wikimedia.org/wiki/File:00_2141_Bicycle-sharing_systems_-_Sweden.jpg; edited), image representing ‘semantically related’ item is courtesy of Matti Blume (https://commons.wikimedia.org/wiki/File:Bike_share_2019,_Berlin_(P1080139).jpg; edited), image representing ‘perceptually related’ item is courtesy of Ivy Main (https://fi.m.wikipedia.org/wiki/Tiedosto:Bottled_water_in_supermarket.JPG; edited), image representing ‘unrelated’ item is courtesy of Hannes Drexl (https://commons.wikimedia.org/wiki/File:Autokran_Seite.jpg?uselang=de; unchanged).
Memory performance during recognition testing based on stimulus categories
a Left: The decrease in hits from 1d to 28d after encoding (main effect delay: p = 0.003) was significantly higher for emotionally neutral than negative items (delay × emotion: p = 0.004; mixed ANOVA). Right: The increase in false alarms (FAs) from 1d to 28d after encoding (main effect delay: p = 0.012) was significantly higher for lures that were semantically related to the encoded pictures, compared to perceptually related (interaction contrast: p = 2e−04) or unrelated lures (interaction contrast: p = 0.030; delay × lure type: p = 7e−04). This semantization of memories over time was significantly higher for emotionally negative compared to neutral items (interaction contrast: p = 0.006; delay × lure type × emotion: p = 0.017; mixed ANOVA). All n = 52 participants. Bars represent mean ± SEM. Individual data points indicate the percentage of the 30 items per participant, emotion and item type which were correctly (left) or incorrectly (right) endorsed as ‘old’. b Individual items were significantly more likely to be semantically transformed (main effect delay: p = 0.030), but not significantly more likely to be perceptually transformed in the 28d- compared to the 1d-group (all p > 0.293). Accordingly, detailed memory decreased with increasing delay after encoding (main effect delay: p = 1e–07). Moreover, emotionally negative memories were more robust against forgetting over time (delay × emotion: p = 0.003), but, again, more often semantically transformed than neutral ones (delay × emotion: p = 0.014; binomial generalized linear mixed models; all n = 52 participants). Bars represent mean ± SEM. Connected dots represent individual data points. All post-hoc tests were applied on estimated marginal means with Šidák correction for multiple comparisons. All reported p-values are two-tailed. Source data are provided as Source Data file. *p < 0.050; **p < 0.010; ***p < 0.001.
Individually perceived relatedness and memory specificity
a Participant’s relatedness ratings confirmed that semantically related items were perceived as significantly more semantically related to the corresponding old picture than perceptually related (paired t-test: p < 9e–99) and unrelated lures (paired t-test: p < 9e–99; main effect lure type on semantic relatedness: p = 1e–43) and that perceptually related lures were perceived as significantly more perceptually related to their corresponding old picture than unrelated lures (paired t-test: p < 9e–99; main effect lure type on perceptual relatedness: p = 6e–32; mixed ANOVAs; all n = 52 participants). Bars represent mean ± SEM. Connected dots represent individual data points. b Taking these individual relatedness ratings into account when analyzing false alarms (FAs) by means of a binomial generalized linear mixed model (gLMM), confirmed that the delay-dependent increase in FAs (main effect delay: p = 0.016) was primarily driven by the semantic relatedness, specifically for emotionally negative stimuli (delay × semantic relatedness × emotion: p = 0.018). N = 52 participants. Lines represent predicted probabilities for FAs as estimated by the binomial gLMM, with error bands indicating the 95% Confidence Interval for these predicted probabilities. All post-hoc tests were applied on estimated marginal means with Šidák correction for multiple comparisons. All reported p-values are two-tailed. Source data are provided as Source Data file. *p < 0.050; ***p < 0.001.
Computational approach for model-based RSA analyses and results along the hippocampal anterior-posterior axis
a Schematic overview over the creation of a neural RSM for emotionally neutral items with exemplary correlation values. Each neural RSM per region of interest (ROI), emotion category and subject was compared to three conceptual models. All depicted images are licensed under Creative Commons BY-SA License: image representing ‘old’ item is courtesy of W. Bulach (https://commons.wikimedia.org/wiki/File:00_2141_Bicycle-sharing_systems_-_Sweden.jpg; edited), image representing ‘semantically related’ item is courtesy of Matti Blume (https://commons.wikimedia.org/wiki/File:Bike_share_2019,_Berlin_(P1080139).jpg; edited), image representing ‘perceptually related’ item is courtesy of Ivy Main (https://fi.m.wikipedia.org/wiki/Tiedosto:Bottled_water_in_supermarket.JPG; edited), image representing ‘unrelated’ item is courtesy of Hannes Drexl (https://commons.wikimedia.org/wiki/File:Autokran_Seite.jpg?uselang=de; unchanged). b In the left anterior hippocampus, specifically for negative items (model 1; two-sample t-test: p = 0.021), distinct representations of encoded pictures (model 1; two-sample t-test: p = 0.019) and, specifically for emotionally neutral items (model 3; two-sample t-test: p = 0.003), perceptually similar representations (model 3; two-sample t-test: p = 0.002) decreased with increasing delay after encoding (delay × long axis × model: pcorr = 0.024; delay × emotion × long axis × model: pcorr = 0.034; mixed ANOVA; n = 51 participants). Bars represent mean ± SEM. If analyses were repeated for both hemispheres, Bonferroni-corrected p-values (pcorr) are reported. All reported p-values are two-tailed. All post-hoc tests were applied on estimated marginal means with Šidák correction for multiple comparisons. Regions of interest are visualized on a sagittal section of a T1-weighted template⁸² in MNI-152 space. Source data are provided as Source Data file. *p < 0.050; **p < 0.010.
Model-based RSA results in neocortical long-term memory storage sites
Upper panel: Pattern representations in a combined ROI including long-term memory cortices (vmPFC, IFG, aCC, angular gyrus and precuneus) were semantically (model 2; two-sample t-test: p = 0.047) transformed over time, while there was no statistically significant effect for the model testing for perceptually transformed representation patterns (model 3; two-sample t-test: p = 0.412; delay × model: p = 0.004; mixed ANOVA). Lower panel: Post-hoc testing revealed that this time-dependent semantization of pattern representations (model 2) was specific to the vmPFC (main effect delay: p = 0.046) and right angular gyrus (main effect delay: pcorr = 0.010; mixed ANOVAs; n = 52 participants). Bars represent mean ± SEM. If analyses were repeated for both hemispheres, Bonferroni-corrected p-values (pcorr) are reported. All reported p-values are two-tailed. All post-hoc tests were applied on estimated marginal means with Šidák correction for multiple comparisons. Regions of interest (ROIs) are visualized on sagittal (prefrontal ROIs) and axial (parietal ROIs) sections of a T1-weighted template⁸² in MNI-152 space. Source data are provided as Source Data file. ⁺p < 0.060; *p < 0.050.

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Time-dependent memory transformation in hippocampus and neocortex is semantic in nature

September 2023

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134 Reads

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15 Citations

Memories undergo a time-dependent neural reorganization, which is assumed to be accompanied by a transformation from detailed to more gist-like memory. However, the nature of this transformation and its underlying neural mechanisms are largely unknown. Here, we report that the time-dependent transformation of memory is semantic in nature, while we find no credible evidence for a perceptual transformation. Model-based MRI analyses reveal time-dependent increases in semantically transformed representations of events in prefrontal and parietal cortices, while specific pattern representations in the anterior hippocampus decline over time. Posterior hippocampal memory reinstatement, in turn, increases over time and is linked to the semantic gist of the original memory, without a statistically significant link to perceptual details. These findings indicate that qualitative changes in memory over time, associated with distinct representational changes in the neocortex and within the hippocampus, reflect a semantic transformation, which may promote the integration of memories into abstract knowledge structures.


Imagining is not seeing: lower insight-driven memory reconfiguration when imagining the link between separate events

March 2023

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186 Reads

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3 Citations

Cerebral Cortex

Gaining insight into the relationship between previously separate events allows us to combine these events into coherent episodes. This insight may occur via observation or imagination. Although much of our reasoning occurs in the absence of direct sensory stimuli, how mnemonic integration is accomplished via imagination has remained completely unknown. Here, we combined fMRI with representational similarity analysis and a real-life-like narrative-insight task (NIT) to elucidate the behavioral and neural effects of insight through imagination (vs. observation). Healthy participants performed the NIT in the MRI scanner and underwent memory testing one week later. Crucially, participants in the observation group gained insight through a video, while participants in the imagination group gained insight through an imagination instruction. Although we show that insight via imagination was weaker than insight via direct observation, the imagination group showed better detail memory. Moreover, the imagination group showed no representational change in the anterior hippocampus or increases in frontal and striatal activity for the linked events, as was the case in the observation group. However, the hippocampus and striatum were more activated during linking via imagination, which might indicate that their increased recruitment during imagination impedes concurrent mnemonic integration but may facilitate long-term memory.


Procedure and stimuli
a The experiment started with a functional localizer in the scanner (30 min) in which participants saw images of three scenes and three faces (shown in b). This was followed by a training session outside the scanner (40 min). Finally, the main scanning session consisted of three test runs of which the first and the third were extinction runs, i.e., faces were presented with equal contingencies and no feedback about correct responses was provided. The middle run was a refresher training with feedback and faces were presented with learned contingencies (i.e., 0.1, 0.3, and 0.6, 60 min). c Trial procedure during the test. Scene cues were followed by face images showing three different identities. Participants had to indicate by button press how much they had expected the presented face, given the preceding scene cue (with low, mid, or high probability).
Behavioral results
a Correct performance in the face task. Participants learned to associate scene cues and face images with their corresponding probability. Participants could be split into two groups, based on whether their response profiles followed a linear (in b) or u-shaped fit (in c). This indicates that they might have used different strategies to anticipate the faces. d Reaction times in the face task. Participants responded faster to faces that were expected with high probability than to those expected with a low probability.
Univariate fMRI responses to presented face images depending on how much they were expected
a Activity in a typical network related to surprise (e.g., including the insula, caudate, inferior parietal lobe, and a cluster in the inferior temporal gyrus) increased with face surprise (negative linear parametric modulator, shown at p < 0.001, uncorrected). b Face confirmation, i.e., more expected faces, lead to stronger responses in the medial frontal cortex (positive linear parametric modulator). c U-shape response to faces reflecting increased activity for highly expected and unexpected faces was identified in the fusiform gyrus (quadratic parametric modulator).
Multivariate fMRI results
a Representation of expected faces in the anterior temporal lobe face region (aTL). The correlation between the reference representational dissimilarity matrix (RDM) and the hypothesis RDMs was used to measure the performance of each hypothesis RDM. Gray error bars indicate the standard error of the mean, based on the across-subject variation, black error bars indicate the within-subject standard error of the mean⁸⁶, and asterisks indicate significance with FDR control p < 0.05. The black horizontal lines indicate the pairwise comparisons for which the hypothesis RDMs perform significantly differently (FDR controlled p < 0.05). The gray horizontal bar shows the noise ceiling, i.e., the upper and lower bound estimates of the maximum performance any model could achieve given the level of noise in the data. b The hypothesis RDMs tested representations of graded expectations, only the high expectation, and a u-shape. The three hypothesis RDMs are presented in performance descending order. c Representation of presented faces in the occipital face area (OFA). d The hypothesis RDMs for testing the representation of presented faces, depending on how much they were expected. Again, the three hypothesis RDMs are presented in performance descending order.
Multivariate functional neuroimaging analyses reveal that strength-dependent face expectations are represented in higher-level face-identity areas

February 2023

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67 Reads

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9 Citations

Communications Biology

Perception is an active inference in which prior expectations are combined with sensory input. It is still unclear how the strength of prior expectations is represented in the human brain. The strength, or precision, of a prior could be represented with its content, potentially in higher-level sensory areas. We used multivariate analyses of functional resonance imaging data to test whether expectation strength is represented together with the expected face in high-level face-sensitive regions. Participants were trained to associate images of scenes with subsequently presented images of different faces. Each scene predicted three faces, each with either low, intermediate, or high probability. We found that anticipation enhances the similarity of response patterns in the face-sensitive anterior temporal lobe to response patterns specifically associated with the image of the expected face. In contrast, during face presentation, activity increased for unexpected faces in a typical prediction error network, containing areas such as the caudate and the insula. Our findings show that strength-dependent face expectations are represented in higher-level face-identity areas, supporting hierarchical theories of predictive processing according to which higher-level sensory regions represent weighted priors.


Stress disrupts insight-driven mnemonic reconfiguration in the medial temporal lobe

January 2023

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74 Reads

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11 Citations

NeuroImage

Memories are not stored in isolation. Insight into the relationship of initially unrelated events may trigger a flexible reconfiguration of the mnemonic representation of these events. Such representational changes allow the integration of events into coherent episodes and help to build up-to-date-models of the world around us. This process is, however, frequently impaired in stress-related mental disorders resulting in symptoms such as fragmented memories in PTSD. Here, we combined a real life-like narrative-insight task, in which participants learned how initially separate events are linked, with fMRI-based representational similarity analysis to test if and how acute stress interferes with the insight-driven reconfiguration of memories. Our results showed that stress reduced the activity of medial temporal and prefrontal areas when participants gained insight into the link between events. Moreover, stress abolished the insight-related increase in representational dissimilarity for linked events in the anterior part of the hippocampus as well as its association with measures of subsequent memory that we observed in non-stressed controls. However, memory performance, as assessed in a forced-choice recognition test, was even enhanced in the stress group. Our findings suggest that acute stress impedes the neural integration of events into coherent episodes but promotes long-term memory for these integrated narratives and may thus have implications for understanding memory distortions in stress-related mental disorders.


The Assimilation of Novel Information into Schemata and Its Efficient Consolidation

June 2022

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26 Reads

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15 Citations

The Journal of Neuroscience : The Official Journal of the Society for Neuroscience

Schemata enhance memory formation for related novel information. This is true even when this information is neutral with respect to schema-driven expectations. This assimilation of novel information into schemata has been attributed to more effective organizational processing that leads to more referential connections with the activated associative schema network. Animal data suggest that systems consolidation of novel assimilated information is also accelerated. In the current study, we used both multivariate and univariate fMRI analyses to provide further support for these proposals and to elucidate the neural underpinning of these processes. Twenty-eight participants (5 male) overlearned fictitious schemata for 7 weeks and then encoded novel related and control facts in the scanner. These facts were retrieved both immediately and 2 weeks later, also in the scanner. Our results conceptually replicate previous findings with respect to enhanced vmPFC-hippocampus coupling during encoding of novel related information and point to a prior knowledge effect that is distinct from situations where novel information is experienced as congruent or incongruent with a schema. Moreover, the combination of both multivariate and univariate results further specified the proposed contributions of the vmPFC, precuneus and angular gyrus network to the more efficient encoding of schema-related information. In addition, our data provide further evidence for more efficient systems consolidation of such novel schema-related and potentially assimilated information.SIGNIFICANCE STATEMENT Our prior knowledge in a certain domain, often termed schema, heavily influences whether and how we form memories for novel information that can be related to them. The results of the current study show how a ventromedial prefrontal-precuneal-angular network contributes to the more efficient encoding of novel related information. Furthermore, the observed increase in prefrontal-hippocampal coupling during this process points to a critical distinction from the previously described mechanisms supporting the encoding of information that is experienced as congruent with schema-driven expectations. In addition, we find further support for the proposal based on animal data that prior knowledge enhances also the consolidation of schema-related information.


Inferring exemplar discriminability in brain representations

May 2022

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154 Reads

Representational distinctions within categories are important in all perceptual modalities and also in cognitive and motor representations. Recent pattern-information studies of brain activity have used condition-rich designs to sample the stimulus space more densely. To test whether brain response patterns discriminate among a set of stimuli (e.g. exemplars within a category) with good sensitivity, we can pool statistical evidence over all pairwise comparisons. Here we describe a wide range of statistical tests of exemplar discriminability and assess the validity (specificity) and power (sensitivity) of each test. The tests include previously used and novel, parametric and nonparametric tests, which treat subject as a random or fixed effect, and are based on different dissimilarity measures, different test statistics, and different inference procedures. We use simulated and real data to determine which tests are valid and which are most sensitive. A popular test statistic reflecting exemplar information is the exemplar discriminability index (EDI), which is defined as the average of the pattern dissimilarity estimates between different exemplars minus the average of the pattern dissimilarity estimates between repetitions of identical exemplars. The popular across-subject t test of the EDI (typically using correlation distance as the pattern dissimilarity measure) requires the assumption that the EDI is 0-mean normal under H0. Although this assumption is not strictly true, our simulations suggest that the test controls the false-positives rate at the nominal level, and is thus valid, in practice. However, test statistics based on average Mahalanobis distances or average linear-discriminant t values (both accounting for the multivariate error covariance among responses) are substantially more powerful for both random- and fixed-effects inference.


Fig. 3 Noradrenergic stimulation reverses the time-dependent changes in IFG-hippocampus functional connectivity. Psychophysiological interaction analysis indicated that while the connectivity between the inferior frontal gyrus (IFG) and hippocampus increased in the placebo (PLAC) group from 28d relative to 1d (p = 0.004 two-tailed Welch's t-test), there was even a decrease in IFG-hippocampus connectivity at 28d compared to memory testing after 1d in the yohimbine (YOH) group (p = 0.020, two-tailed Welch's t-test; drug × delay, SVC peak-level: x = −22, y = −40, z = −2, p(FWE) = 0.009, mixed ANOVA; n = 104 participants). Bonferroni correction was applied for the number of regions of interest in each analysis. The seed-region in the IFG (green), retrieved from the drug × delay interaction of the univariate analysis (peak: x = −50, y = 34, z = 12; k = 62), and the significant cluster in the hippocampus (orange) are superimposed on sagittal slices of T1-weighted template images. Distribution of beta-values for the significant cluster is presented for the contrast old > new. Bars represent mean ± SEM. Source data are provided as Source data file. *p < 0.050, **p < 0.010.
Experimental design, physiological, and behavioral results
A Participants were tested on two experimental days: day 1, stimulus encoding and pharmacological manipulation of post-encoding noradrenergic activity and day 2, memory recognition. Both encoding and test took place in the MRI scanner. Critically, to investigate time-dependent consolidation processes, the memory test took place either 1d or 28d after encoding. The image of the playground is licensed under Creative Commons License; courtesy of Tomasz Sienicki (https://commons.wikimedia.org/wiki/File:Playground_29_ubt.JPG; image unchanged). B Effective manipulation of noradrenergic arousal after encoding: While groups did not differ at baseline (all p > 0.242, two-tailed Welch’s t-tests) or shortly after encoding (all p > 0.111, two-tailed Welch’s t-tests), participants of the yohimbine (YOH) group had significantly higher systolic (all p < 0.005, two-tailed Welch’s t-tests) and diastolic (all p < 0.005, two-tailed Welch’s t-tests) blood pressure from 85 min after drug intake until the end of experimental day 1 (drug × time: all p < 0.001, mixed ANOVAs). C A generalized linear mixed model (LMM) with the between-factors drug and delay and the within-factor emotion revealed no group-difference in immediate free recall performance on day 1, suggesting that encoding was comparable in the four groups. However, while memory performance significantly decreased from 1d to 28d after encoding (main effect delay: β = −1.12, p < 0.001, LMM), post-encoding noradrenergic arousal reduced this time-dependent memory decline (drug × delay: β = 0.64, p = 0.029, LMM): The YOH group showed a significantly smaller decrease in memory performance from 1d to 28d than the placebo (PLAC) group. All n = 104 participants. Bars represent mean ± SEM. Source data are provided as Source data file. **p < 0.010; ***p < 0.001.
Noradrenergic stimulation increases hippocampal but decreases neocortical contributions to remote memory
A While hippocampal activity tended to decrease from 1d relative to 28d in the placebo (PLAC) group (p = 0.086, two-tailed Welch’s t-test), there was even a significant increase in hippocampal activity during memory testing from 1d to 28d in the yohimbine (YOH) group (p < 0.001, two-tailed Welch’s t-test; drug × delay, SVC peak level: x = 22, y = −38, z = 4, p(FWE) = 0.036, mixed ANOVA). B Conversely, inferior frontal gyrus (IFG) activity increased significantly from 28d relative to 1d in the PLAC group (p < 0.001, two-tailed Welch’s t-test) but not in the YOH group (p = 0.620, two-tailed Welch’s t-test; SVC peak-level: x = −44, y = 32, z = 12, pcorr(FWE) = 0.042, mixed ANOVA). C Pearson correlation analysis indicated that IFG activity at 28d-delayed memory test was negatively associated with memory performance on day 2. Note that this correlation remained significant after removing outliers from the analysis. D Moreover, while there was a significant increase in IFG activity from encoding to memory testing at the 28d vs. 1d-delayed test in the PLAC group (p < 0.001, two-tailed Welch’s t-test), there was even a significant decrease in IFG activity from encoding to retrieval with increasing retention delay in the YOH group (p = 0.010, two-tailed Welch’s t-test; drug × delay, SVC peak-level: x = −48, y = 34, z = 12, pcorr(FWE) < 0.001, mixed ANOVA). Bonferroni correction was applied for the number of regions of interest in each analysis. All n = 104 participants. Visualizations show t-maps for the interesting contrasts superimposed on sagittal sections of T1-weighted template images and beta-values for the significant cluster. Bars represent mean ± SEM. Source data are provided as Source data file. ⁺p < 0.100; *p < 0.050; ***p < 0.001.
Multivariate encoding-retrieval-similarity (ERS) analysis
Participants of the placebo (PLAC) group showed a significant decrease in hippocampal pattern reinstatement, as reflected in ERS, from 28d relative to 1d (p = 0.010, two-tailed Welch’s t-test), while there was even a significant increase in hippocampal ERS from the 1d to the 28d test in the yohimbine (YOH) group (p = 0.031, two-tailed Welch’s t-test; drug × delay: SVC peak-level: x = −26, y = −10, z = −26, mixed ANOVA; n = 104 participants). Bonferroni correction was applied for the number of regions of interest in each analysis. All images are licensed under Creative Commons License; image of the playground courtesy of Tomasz Sienicki (https://commons.wikimedia.org/wiki/File:Playground_29_ubt.JPG; image unchanged); image of the bird courtesy of Francis C. Franklin (https://commons.wikimedia.org/wiki/File:Great_tit_side-on.jpg; image unchanged); image of the train courtesy of DBZ2313 (https://commons.wikimedia.org/wiki/File:Locomotive_NR27_hauling_Indian_Pacific_train_(cropped).jpg; image unchanged); and image of the squirrel courtesy of Peter Timing (https://commons.wikimedia.org/wiki/File:Squirrel_posing.jpg; image unchanged). Visualizations of the ERS results include the t-map for drug × delay superimposed on a sagittal section of a T1-weighted template image and the Fisher z-transformed r-values for the significant cluster in the contrast EOS > ENS. Bars represent mean ± SEM. Source data are provided as Source data file. *p < 0.050.
Noradrenergic arousal after encoding reverses the course of systems consolidation in humans

October 2021

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152 Reads

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27 Citations

It is commonly assumed that episodic memories undergo a time-dependent systems consolidation process, during which hippocampus-dependent memories eventually become reliant on neocortical areas. Here we show that systems consolidation dynamics can be experimentally manipulated and even reversed. We combined a single pharmacological elevation of post-encoding noradrenergic activity through the α2-adrenoceptor antagonist yohimbine with fMRI scanning both during encoding and recognition testing either 1 or 28 days later. We show that yohimbine administration, in contrast to placebo, leads to a time-dependent increase in hippocampal activity and multivariate encoding-retrieval pattern similarity, an indicator of episodic reinstatement, between 1 and 28 days. This is accompanied by a time-dependent decrease in neocortical activity. Behaviorally, these neural changes are linked to a reduced memory decline over time after yohimbine intake. These findings indicate that noradrenergic activity shortly after encoding may alter and even reverse systems consolidation in humans, thus maintaining vividness of memories over time. Memories are assumed to undergo a time-dependent systems consolidation, during which hippocampal contributions to memory decrease while neocortical contributions increase. Here, the authors show that noradrenergic arousal after encoding may reverse this course of systems consolidation in humans



Fig. 2. Columnar profiles of sensory representations from three participants across sessions on different scan days. The underlays show anatomical EPI images in each participant, and the overlays show their corresponding column definitions within PT. BOLD responses to visual-only, audio-only and audiovisual stimuli as a function of columnar distance are depicted in blue, red and green.
Fig. 4. Laminar profiles in anterior PT. (A) ROI of anterior PT was defined based on the auditory-specific peak columns. (B) Laminar profile of BOLD and VAPER response to stimuli from different sensory modalities in anterior PT. (C) Laminar profile of the differential response evoked by audio-only vs. audiovisual stimuli. The response difference mainly peaked in superficial layers. * for p < 0.05, ** for p < 0.001 (superficial vs. middle: p = 6.6 × 10 4 for BOLD, p = 0.002 for VAPER; superficial vs. deep: p = 3.3 × 10 5 for BOLD, p = 1.8 × 10 4 for VAPER; two-tailed paired t-test). (D) A two-way repeated-measures ANOVA with factors of audio-only response time (audio-only short RT trials vs. audiovisual, audio-only long RT trials vs. audiovisual) and cortical depth (superficial, middle and deep). Interaction effects were significant in both BOLD and VAPER responses at p < 0.05. In each cortical depth, NS, not significant; * for p < 0.05 (two-sided paired t-test, p = 0.003, 0.04, 0.3 for BOLD at superficial, middle and deep layers, p = 0.02, 0.4, 0.85 for VAPER at superficial, middle and deep layers). Shaded areas and error bars represent ± SEM across sessions.
Fig. 5. Laminar profiles in posterior PT. (A) ROI of posterior PT is defined based on the visual-specific peak columns. (B) Laminar profile of the BOLD and VAPER responses to visual stimulus in posterior PT. Visually-induced response peaked at both superficial and deep layers under VAPER contrast, which are also present under BOLD contrast to a lesser extent. Shaded areas in the line plots represent ± SEM across sessions.
Topographical and Laminar Distribution of Audiovisual Processing within Human Planum Temporale

July 2021

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108 Reads

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18 Citations

Progress in Neurobiology

The brain is capable of integrating signals from multiple sensory modalities. Such multisensory integration can occur in areas that are commonly considered unisensory, such as planum temporale (PT) representing the auditory association cortex. However, the roles of different afferents (feedforward vs. feedback) to PT in multisensory processing are not well understood. Our study aims to understand that by examining laminar activity patterns in different topographical subfields of human PT under unimodal and multisensory stimuli. To this end, we adopted an advanced mesoscopic (sub-millimeter) fMRI methodology at 7 T by acquiring BOLD (blood-oxygen-level-dependent contrast, which has higher sensitivity) and VAPER (integrated blood volume and perfusion contrast, which has superior laminar specificity) signal concurrently, and performed all analyses in native fMRI space benefiting from an identical acquisition between functional and anatomical images. We found a division of function between visual and auditory processing in PT and distinct feedback mechanisms in different subareas. Specifically, anterior PT was activated more by auditory inputs and received feedback modulation in superficial layers. This feedback depended on task performance and likely arose from top-down influences from higher-order multimodal areas. In contrast, posterior PT was preferentially activated by visual inputs and received visual feedback in both superficial and deep layers, which is likely projected directly from the early visual cortex. Together, these findings provide novel insights into the mechanism of multisensory interaction in human PT at the mesoscopic spatial scale.


Citations (39)


... Some are benefits, such as the ability to identify subtle neural encoding of variables within fine-scale, subject-specific, and spatially distributed topographies (Harrison & Tong, 2009;Haxby et al., 2014;Naselaris et al., 2011), increased ability to suppress or enhance distinct components of noise or signal variability (Bejjanki et al., 2017;Hebart & Baker, 2018;Zhang et al., 2020), and a closer bridge to theories of neural population coding and associated statistical methods in computational neuroscience (e.g., Ebitz and Hayden, 2021;Ruff et al., 2018). Others are caveats, such as the curse of dimensionality and unique demands for stratified cross-validation (e.g., Alink et al., 2015). As a result, our work complements prior joint modeling work by characterizing measurement properties of MVPA decoders within a hierarchical model. ...

Reference:

Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control
Mind the drift - improving sensitivity to fMRI pattern information by accounting for temporal pattern drift

... Although time-dependent consolidation may facilitate the integration of memories, whether spaced learning benefits from this mechanism remains elusive. On the other hand, convergent studies have suggested that memories (especially episodic memories) are initially encoded in the hippocampus and then transferred to distributed cortical networks for stabilization through hippocampal-cortical interactions during consolidation 19,[24][25][26][27][28] . Nevertheless, whether spaced learning is conducive to memory stabilization by promoting hippocampal-cortical transfer is largely unknown. ...

Time-dependent memory transformation in hippocampus and neocortex is semantic in nature

... Even when new insights are derived from direct observation, the integration process requires imaginative capacities to bind the previously separate memories into a coherent narrative. At the neural level, the hippocampus has been shown to play a pivotal role in (imagination-based) mnemonic integration Collin et al., 2015;Griffiths & Fuentemilla, 2020;Grob et al., 2023a;Milivojevic et al., 2015). However, while the hippocampus appears to be crucial for mnemonic integration, it does not act in isolation but operates in collaboration with cortical areas to accomplish this complex process (Backus et al., 2016;Milivojevic et al., 2015;Pehrs et al., 2018;Schlichting & Preston, 2015;Spalding et al., 2018). ...

Imagining is not seeing: lower insight-driven memory reconfiguration when imagining the link between separate events

Cerebral Cortex

... 30 The degree to which expectations shape the resulting posterior percept depends on the strength or precision of both perceptual priors and sensory input. 31 The precision of our predictions might be based on factors like the consistency of our environment or the reliability of certain cues preceding specific events. Less precise priors have a reduced effect on the representation and perception of sensory information, while more precise priors exert a greater influence. ...

Multivariate functional neuroimaging analyses reveal that strength-dependent face expectations are represented in higher-level face-identity areas

Communications Biology

... These findings were consistent with our results. Considering acute stress reduces TC activity, we also observed a significant reduction in TC metabolites [49]. ...

Stress disrupts insight-driven mnemonic reconfiguration in the medial temporal lobe

NeuroImage

... Current evidence indicates that the prequestion effect, instead, may exacerbate inequities by modestly widening the difference in achievement between students who do and do not possess relevant prior knowledge. It is well-known that prior knowledge is generally beneficial for learning (recent demonstrations in Sommer, Hennies, Lewis, & Alink, 2022;Wing et al., 2022), but in practical educational settings, there may be good reason to avoid interventions that rely on prior knowledge. ...

The Assimilation of Novel Information into Schemata and Its Efficient Consolidation
  • Citing Article
  • June 2022

The Journal of Neuroscience : The Official Journal of the Society for Neuroscience

... Shortly before the Memory Cueing task, participants were administered either 20 mg YOH (n=21), 20 mg CORT (n=21), or a PLAC (n=20). Given the known pharmacodynamics of YOH and CORT, we expected the drugs to be effective after the Memory Cueing task and subsequent resting-state interval (Krenz et al., 2021;Kluen et al., 2017), exerting their influence during the putative postretrieval (re)consolidation window. To confirm successful noradrenergic and glucocorticoid activation, and to verify that their effects occurred only after (but not during) the Memory Cueing task, we assessed autonomic arousal (blood pressure, heart rate, and skin conductance), salivary cortisol, and subjective mood throughout Day 2. ...

Noradrenergic arousal after encoding reverses the course of systems consolidation in humans

... 超高场高分辨率 fMRI 皮层分层成像可用于研究初级功能脑区 (如视觉 [60][61][62][63][64][65][66][67][68][69][70][71][72] 、 听觉 [72][73][74][75][76][77][78][79] 、躯体运动与感觉 [80][81][82][83][84][85] ...

Topographical and Laminar Distribution of Audiovisual Processing within Human Planum Temporale

Progress in Neurobiology

... Another possible interpretation is that surprising stimuli capture attention or increase general arousal, which subsequently amplifies neural responses [53]. While we cannot conclusively rule out this alternative account, there are multiple factors suggesting that it is not the primary factor. ...

Can expectation suppression be explained by reduced attention to predictable stimuli?

NeuroImage

... We then asked whether each number was more similar to its equivalent bandit than to other bandits (e.g. number 3 and bandit 3, the 'on-diagonal' information in Figure 3A), by computing an 'Exemplar Discriminability Index' (EDI) (Nili et al., 2016). Additionally, we asked whether numbers showed a gradually increasing dissimilarity to non-identical bandits (e.g. ...

Inferring exemplar discriminability in brain representations