Lies, irony, and contradiction — an annotation of semantic conflict in the movie "Forrest Gump"

Hanke, Michael; Ibe, Pierre

doi:10.12688/f1000research.9635.1

Cited by 3 publications

(3 citation statements)

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“…To further investigate the function of identified changes, we use the definition of subnetworks and lobes with functional or anatomical annotations to group nodes. The ten regions are prefrontal(nodes number: 46), motor (21), insula (7), parietal (27), temporal(39), occipital (25), limbic(36), cerebellum (23), subcortex (17) and brainstem (8) and ten canonical brain networks include medial frontal (29), frontoparietal (28), default mode (18), motor(49), visual I(18), visual II (8), visual association (17), limbic (30), basal ganglia (29) and cerebellum (23). [27,26,28].…”

Section: Resultsmentioning

confidence: 99%

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Inference of Dynamic Graph Changes for Functional Connectome

Ji,

Lu,

Zhang

et al. 2019

Preprint

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Dynamic functional connectivity is an effective measure to characterize the brain's responses to continuous stimulus. We propose an inferential method to detect the dynamic changes of brain networks based on the time-varying graphical model. Whereas most existing methods focus on testing the existence of change points, the fluctuations in the brain network structure represent more signals in many neuroscience studies. We propose a novel method to conduct hypothesis tests on the changes in the dynamic brain networks. We introduce a bootstrap statistic to approximate the supreme of the high-dimensional empirical processes over edges. Our simulations show that this framework can successfully capture change points with changed connectivity. Finally, we apply our method to a brain imaging dataset under the natural audio-video stimulus and illustrate that our approach is able to detect the temporal changes in brain networks. The functions of the identified regions are consistent with specific emotional annotations, which are closely associated with changes inferred by the framework.Preprint. Under review.

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Section: Resultsmentioning

confidence: 99%

“…The original movie was cut into eight parts. The descriptions of semantic conflicts were extended from simple annotations of cuts and scenes [25]. With the help of scene descriptions, we can locate the scenes of BOLD sequences.…”

Section: Data Descriptionmentioning

confidence: 99%

Inference of Dynamic Graph Changes for Functional Connectome

Ji,

Lu,

Zhang

et al. 2019

Preprint

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“…Moreover, our dataset is also compatible with multiple stimulus annotations provided by the existing studyforrest project 39 – 41 . Because the visual stimuli for the MEG and fMRI datasets can be precisely aligned via the technique demonstrated in Fig.…”

Section: Usage Notesmentioning

confidence: 99%

A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump”

et al. 2022

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Naturalistic stimuli, such as movies, are being increasingly used to map brain function because of their high ecological validity. The pioneering studyforrest and other naturalistic neuroimaging projects have provided free access to multiple movie-watching functional magnetic resonance imaging (fMRI) datasets to prompt the community for naturalistic experimental paradigms. However, sluggish blood-oxygenation-level-dependent fMRI signals are incapable of resolving neuronal activity with the temporal resolution at which it unfolds. Instead, magnetoencephalography (MEG) measures changes in the magnetic field produced by neuronal activity and is able to capture rich dynamics of the brain at the millisecond level while watching naturalistic movies. Herein, we present the first public prolonged MEG dataset collected from 11 participants while watching the 2 h long audio-visual movie “Forrest Gump”. Minimally preprocessed data was also provided to facilitate the use of the dataset. As a studyforrest extension, we envision that this dataset, together with fMRI data from the studyforrest project, will serve as a foundation for exploring the neural dynamics of various cognitive functions in real-world contexts.

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A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump”

Liu

Dai

Xie

et al. 2021

Preprint

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Naturalistic stimuli, such as movies, are being increasingly used to map brain function because of their high ecological validity. The pioneering studyforrest and other naturalistic neuroimaging projects have provided free access to multiple movie-watching functional magnetic resonance imaging (fMRI) datasets to prompt the community for naturalistic experimental paradigms. However, sluggish blood-oxygenation-level-dependent fMRI signals are incapable of resolving neuronal activity with the temporal resolution at which it unfolds. Instead, magnetoencephalography (MEG) measures changes in the magnetic ﬁeld produced by neuronal activity and is able to capture rich dynamics of the brain at the millisecond level while watching naturalistic movies. Herein, we present the first public prolonged MEG dataset collected from 11 participants while watching the 2 h long audio-visual movie "Forrest Gump". Minimally preprocessed data was also provided to facilitate the use. As a studyforrest extension, we envision that this dataset, together with fMRI data from the studyforrest project, will serve as a foundation for exploring the neural dynamics of various cognitive functions in real-world contexts.

show abstract

Lies, irony, and contradiction — an annotation of semantic conflict in the movie "Forrest Gump"

Cited by 3 publications

References 10 publications

Inference of Dynamic Graph Changes for Functional Connectome

Inference of Dynamic Graph Changes for Functional Connectome

A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump”

A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump”

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