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MRI Brain

Audiovisual narrative speech fMRI (LORAX)

Data from: Neural correlates of multisensory enhancement in audiovisual narrative speech perception: a fMRI investigation

Task fMRI and T1-weighted brain MRI of healthy young adults hearing and watching a narrated story in auditory, visual, synchronous and asynchronous audiovisual blocks, collected to map multisensory enhancement in speech perception.

Overview

This release holds the raw imaging behind a study of how seeing a speaker's mouth changes brain responses to continuous, natural speech. Healthy young adults lay in the scanner while a video of a speaker reading the Dr. Seuss story "The Lorax" was cut into short sections, and each section was shown as sound only, video only, sound and video in sync, or sound and video out of sync. The study looked for brain regions whose response to synchronous audiovisual speech exceeded the responses to the single senses. The data were deposited on Dryad by Lars Ross and are mirrored on Zenodo under CC0.

Composition

The release has 53 subject folders. The paper reports that 60 people were scanned and 7 were excluded for technical problems, head motion or lack of task compliance, leaving 53 native English speakers aged 20 to 35 (mean 25), 25 of them female, without neurological or psychiatric history. Each folder holds one T1-weighted scan, three functional runs and three BrainVoyager protocol files (.prt) that give the first and last volume of every condition block.

Acquisition

Scanning used a 3 T Philips Achieva TX with a 32-channel head coil. The anatomical scan is a 1 mm isotropic MP-RAGE. The functional runs are gradient-echo EPI with a TR of 2 s and 1.67 x 1.67 x 2.3 mm voxels, 50 slices, and 158, 172 and 146 volumes per run; coverage leaves out the lower cerebellum. Sound came through MR-compatible headphones and video through MR-compatible goggles with an eye tracker used to check that eyes were open.

Known limitations

The functional data are stored as one Analyze image and header per volume, not as 4D NIfTI or BIDS. The T1-weighted images were defaced in BrainVoyager after transformation to Talairach space, so they are not in native scanner space; a JSON sidecar keeps selected header fields. The release has no participants table, so age and sex per subject are not available, and the behavioural speech-in-noise task described in the paper is not part of the files. The participant figures here come from the bioRxiv preprint; the journal version could not be opened for this entry.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 53 subjects.

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wboldSubjects with exactly this set
53

README_(4).txt: Data & file overview in Zenodo record 7884627 (record metadata and README_(4).txt)

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

Download without an account

Access page
For Whole release, per the license field of the Dryad and Zenodo records and the release README.

Creative Commons Zero 1.0 Universal

Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.

Original license text Version read: 1.0 Checked 2026-10-07

What you can do

  • Yes
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  • Yes
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What you can share

  • Yes
  • Yes
  • Yes

What you must do

  • No
  • Share alike No
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Ross LA, Molholm S, Butler JS, Del Bene VA, Foxe JJ. Neural correlates of multisensory enhancement in audiovisual narrative speech perception: A fMRI investigation. NeuroImage 263, 119598 (2022). doi:10.1016/j.neuroimage.2022.119598

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.