Word-timestamped transcripts of two spoken narrative recall functional neuroimaging datasets.

After watching audiovisual movies, human participants produced spoken narrative recollections during functional magnetic resonance imaging (fMRI); presented here are word-level timestamps of their speech, temporally aligned to the publicly shared fMRI data. For the "FilmFestival" dataset, twenty participants watched ten short audiovisual movies, approximately 2-8 minutes each. For the "Sherlock" dataset, seventeen participants watched the first half of the first episode of BBC's (48 minutes).

Adding Meaning to Memories: How Parietal Cortex Combines Semantic Content with Episodic Experience.

Neuroimaging studies of human memory have consistently found that univariate responses in parietal cortex track episodic experience with stimuli (whether stimuli are 'old' or 'new'). More recently, pattern-based fMRI studies have shown that parietal cortex also carries information about the semantic content of remembered experiences. However, it is not well understood how memory-based and content-based signals are integrated within parietal cortex.

Mapping multidimensional content representations to neural and behavioral expressions of episodic memory.

Human neuroimaging studies have shown that the contents of episodic memories are represented in distributed patterns of neural activity. However, these studies have mostly been limited to decoding simple, unidimensional properties of stimuli. Semantic encoding models, in contrast, offer a means for characterizing the rich, multidimensional information that comprises episodic memories.

A functional neuroimaging dataset acquired during naturalistic movie watching and narrated recall of a series of short cinematic films.

Whole-brain functional magnetic resonance imaging (fMRI) data from twenty healthy human participants were collected during naturalistic movie watching and free spoken recall tasks. Participants watched ten short (approximately 2 - 8 min) audiovisual movies and then verbally described what they remembered about the movies in their own words. Participants' verbal responses were audio recorded using an MR-compatible microphone.

Predicting memory from the network structure of naturalistic events.

When we remember events, we often do not only recall individual events, but also the connections between them. However, extant research has focused on how humans segment and remember discrete events from continuous input, with far less attention given to how the structure of connections between events impacts memory. Here we conduct a functional magnetic resonance imaging study in which participants watch and recall a series of realistic audiovisual narratives.

A generalized cortical activity pattern at internally generated mental context boundaries during unguided narrative recall.

Current theory and empirical studies suggest that humans segment continuous experiences into events based on the mismatch between predicted and actual sensory inputs; detection of these 'event boundaries' evokes transient neural responses. However, boundaries can also occur at transitions between internal mental states, without relevant external input changes. To what extent do such 'internal boundaries' share neural response properties with externally driven boundaries? We conducted an fMRI experiment where subjects watched a series of short movies and then verbally recalled the movies, unprompted, in the order of their choosing.

Transforming the Concept of Memory Reactivation.

Reactivation refers to the phenomenon wherein patterns of neural activity expressed during perceptual experience are re-expressed at a later time, a putative neural marker of memory. Reactivation of perceptual content has been observed across many cortical areas and correlates with objective and subjective expressions of memory in humans. However, because reactivation emphasizes similarities between perceptual and memory-based representations, it obscures differences in how perceptual events and memories are represented.

Variability in the analysis of a single neuroimaging dataset by many teams.

Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses. The flexibility of analytical approaches is exemplified by the fact that no two teams chose identical workflows to analyse the data.

Preexperimental stimulus familiarity modulates the effects of item repetition on source memory.

Previous studies have reported contradictory findings regarding the effects of item repetition on the subsequent encoding of contextual details associated with items (i.e., source memory).

Decomposing Parietal Memory Reactivation to Predict Consequences of Remembering.

Memory retrieval can strengthen, but also distort memories. Parietal cortex is a candidate region involved in retrieval-induced memory changes as it reflects retrieval success and represents retrieved content. Here, we conducted an fMRI experiment to test whether different forms of parietal reactivation predict distinct consequences of retrieval.

Hippocampal Mismatch Signals Are Modulated by the Strength of Neural Predictions and Their Similarity to Outcomes.

Unlabelled: The hippocampus is thought to compare predicted events with current perceptual input, generating a mismatch signal when predictions are violated. However, most prior studies have only inferred when predictions occur without measuring them directly. Moreover, an important but unresolved question is whether hippocampal mismatch signals are modulated by the degree to which predictions differ from outcomes.

Reconstructing Perceived and Retrieved Faces from Activity Patterns in Lateral Parietal Cortex.

Unlabelled: Recent findings suggest that the contents of memory encoding and retrieval can be decoded from the angular gyrus (ANG), a subregion of posterior lateral parietal cortex. However, typical decoding approaches provide little insight into the nature of ANG content representations. Here, we tested whether complex, multidimensional stimuli (faces) could be reconstructed from ANG by predicting underlying face components from fMRI activity patterns in humans.

Lower Parietal Encoding Activation Is Associated with Sharper Information and Better Memory.

Mean fMRI activation in ventral posterior parietal cortex (vPPC) during memory encoding often negatively predicts successful remembering. A popular interpretation of this phenomenon is that vPPC reflects "off-task" processing. However, recent fMRI studies considering distributed patterns of activity suggest that vPPC actively represents encoded material.