Evidence map›Paper›PMID 41876628›Full record

ArticleScientific data2026

"Dense Amygdala": Extensive Complex-valued Functional MRI of the Ventral and Medial Temporal Lobe during Passive Movie Watching in Three Individuals.

J Michael Tyszka, Zachary Diamandis, Umit Keles, Yue Xu, Na Yeon Kim, Wenying Zhu, Qianying Wu, David A Kahn, Ralph Adolphs

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

J Michael TyszkaDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA. jmt@caltech.edu.
Zachary DiamandisDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Umit KelesDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Yue XuDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Na Yeon KimDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Wenying ZhuDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Qianying WuDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
David A KahnDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Ralph AdolphsDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dense, individual-level datasets are an important resource for social neuroscience that enable models of brain responses to a wide range of naturalistic features, often investigated with movie fMRI. This data release provides high spatiotemporal resolution 3 Tesla BOLD fMRI data in three healthy participants while viewing four feature-length movies with sound (Grand Budapest Hotel, Forrest Gump, Planet Earth, Jiro Dreams of Sushi; ca. 520 minutes) and a movie trailer composite, together with clip and movie repeats. All movie functional data were acquired with partial brain coverage from an approximately axial slab covering ventral prefrontal and temporal lobes, including the amygdala, with a repetition time of 556 ms and complex-valued image reconstruction. The dataset is released in both unprocessed and minimally preprocessed forms with individual, high quality anatomic templates. Preprocessed fMRI data are provided in both individual template and FreeSurfer average surface spaces. Reference raw data are provided for a conventional face-object functional localizer task. Auxiliary physiological data includes 4-lead ECG waveforms, image-estimated respiratory waveforms and pupillometry. Quality metrics include temporal SNFR maps, high-resolution B

Indexed as

AmygdalaMagnetic Resonance ImagingMotion PicturesTemporal LobeAdultDatasets as TopicFemaleHumansMaleMiddle Aged

Identifiers

PMID41876628
PMCPMC13179352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.