Attentional fluctuations and the temporal organization of memory

Jayakumar, Manasi; Balusu, Chinmayi; Aly, Mariam

doi:10.1016/j.cognition.2023.105408

Cited by 8 publications

(2 citation statements)

References 134 publications

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“…We explored participants' recall transitions to estimate two measures of temporal associations at retrieval: forward asymmetry bias and temporal contiguity effects. We first tested for potential age differences in forward asymmetry via a 2-way mixed ANOVA on the lag-CRP measures with age group as the between-subjects factor and direction of transition at the closest lags ±1 (forward vs. backward) as a within-subjects factor (for a similar analysis see Jayakumar et al, 2023). We found a significant main effect of direction in both the original [(F(1, 43) = 220.69, p < 0.001] and replication samples [(F(1,51) = 329.81, p < 0.001], suggesting a strong forward asymmetry for both younger and older adults (see Figure 4).…”

Section: Temporal Organization Of Events In Episodic Memorymentioning

confidence: 99%

Shift happens: Aging alters the content but not the organization of memory for complex events

Fenerci,

Davis,

Henderson

et al. 2023

Preprint

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Cognitive aging research has focused on comparing episodic memory accuracy between young and old adults. Less work has described qualitative shifts in how episodic memories are encoded and recalled. This is especially relevant for memories of real-world experiences, since there is immense variability in which details can be accessed and organized into a coherent narrative. To address this knowledge gap, we investigated age effects on the organization and content of memory for complex events. In two independent samples (N=45; 60), young and older adults encoded and recalled a short-movie. We scored the recollections for recall accuracy, temporal organization (temporal contiguity, forward asymmetry) and biases in memory content (perceptual, conceptual). In both samples, despite no age-effects on recall accuracy nor on metrics of organization, aging led to a stronger emphasis on conceptual content. Our results indicate that rather than a deficit, age-related differences in episodic recall reflect distinctions in what details younger and older adults assemble from the past events.

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Section: Temporal Organization Of Events In Episodic Memorymentioning

confidence: 99%

Shift happens: Aging alters the content but not the organization of memory for complex events

Fenerci,

Davis,

Henderson

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Evidence suggests that more consistent response times (RTs) close to a person's overall mean RT correspond to engaged attention. In contrast, more erratic responding (including both overly fast and slow responses) predict attention lapses and disengaged focus (Esterman et al, 2013;Rosenberg et al, 2013;Fortenbaugh et al, 2015;Kucyi et al, 2017;Jayakumar et al, 2023). Thus, fluctuating VTC values, calculated as the absolute deviation of each RT from the participant mean, are thought to reflect fluctuating sustained attention.…”

Section: Introductionmentioning

confidence: 99%

Edge-based general linear models capture high-frequency fluctuations in attention

Jones

Yoo

Chun

et al. 2023

Preprint

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Although we must prioritize the processing of task-relevant information to navigate life, our ability to do so fluctuates across time. Previous work has identified fMRI functional connectivity (FC) networks that predict an individual's ability to sustain attention and vary with attentional state from one minute to the next. However, traditional dynamic FC approaches typically lack the temporal precision to capture moment-by-moment network fluctuations. Recently, researchers have "unfurled" traditional FC matrices in "edge cofluctuation time series" which measure time point-by-time point cofluctuations between regions. Here we apply event-based and parametric fMRI analyses to edge time series to capture high-frequency fluctuations in networks related to attention. In two independent fMRI datasets in which participants performed a sustained attention task, we identified a reliable set of edges that rapidly deflects in response to rare task events. Another set of edges varies with continuous fluctuations in attention and overlaps with a previously defined set of edges associated with individual differences in sustained attention. Demonstrating that edge-based analyses are not simply redundant with traditional regions-of-interest based approaches, up to one-third of reliably deflected edges were not predicted from univariate activity patterns alone. These results reveal the large potential in combining traditional fMRI analyses with edge time series to identify rapid reconfigurations in networks across the brain.

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Retrieval of temporal structure at recall can occur automatically

Sadeh,

Moscovitch

2024

Cognition

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Attentional fluctuations and the temporal organization of memory

Cited by 8 publications

References 134 publications

Shift happens: Aging alters the content but not the organization of memory for complex events

Shift happens: Aging alters the content but not the organization of memory for complex events

Edge-based general linear models capture high-frequency fluctuations in attention

Retrieval of temporal structure at recall can occur automatically

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