Skip to content
MRI Brain

GRAND (ds007831)

The Georgetown Reading in Aging Neuroimaging Dataset (GRAND)

Reading-in-aging brain MRI from Georgetown University: T1w, FLAIR, T2w, multi-shell diffusion and a language-mapping task fMRI of 109 neurotypical adults aged 22 to 84, with structural connectomes and task statistic maps, as a normative reference.

Overview

GRAND is an OpenNeuro release (ds007831) from Georgetown University Medical Center that pairs reading behaviour with multimodal brain MRI in neurotypical adults, most of them middle-aged or older. The team built it as a reference for normal word recognition, oral reading and language-related brain activity in later life, since reading is often studied in children and young adults while the disorders that impair it tend to strike older people. Beyond normative comparison, the authors point to individual-differences work linking brain measures to behaviour. The first snapshot appeared in May 2026 under CC0, with a bioRxiv preprint describing it (Anderson et al. 2026).

Composition

Snapshot 1.0.4 holds 109 participants in a single session each, 56 female and 53 male, aged 22 to 84 at the scan (mean about 60). One participant included by mistake was removed in 1.0.3, but still appears in participants.tsv; the counts here leave that row out. Every participant has a T1w, a FLAIR, a coplanar T2w and one task fMRI run; 108 also have a diffusion scan, and spin-echo field maps accompany the BOLD and diffusion data. Derivatives add per-subject Brainnetome structural connectomes (streamline counts) and MNI-space beta and t maps for the semantic versus pseudofont contrast. The preprint abstract reports 116 participants overall, along with trial-wise reading and lexical decision behaviour.

Acquisition

All scans come from one 3T Siemens MAGNETOM Prisma at the Center for Functional and Molecular Imaging, Georgetown, using a 20-channel head coil. Structural images are 1 mm isotropic T1w and FLAIR; the coplanar T2w and the multiband BOLD use 2.6 mm slices. Diffusion is HARDI with 81 directions at b = 3000, 40 at b = 1200 and 7 b = 0 volumes at 2 mm isotropic. The fMRI task is the Adaptive Language Mapping paradigm of Wilson et al. (2018).

Known limitations

A single site and scanner limit generalisation, and the sample is drawn from healthy volunteers only. The participants.tsv lists one more row than there are subject folders. Eight participants had a different diffusion TR (4700 ms instead of 5000 ms). Behavioural data and full methods are described in the preprint, which had not been peer reviewed at the time of checking.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 109 subjects.

Contrast / sequence

Groups can overlap

  • T1-weighted 109 100%
  • FLAIR 109 100%
  • T2-weighted 109 100%
  • BOLD fMRI 109 100%
  • Diffusion-weighted 108 99%

sub-*/anat/*_T1w.nii.gz, sub-*/anat/*_FLAIR.nii.gz, sub-*/anat/*_acq-coplanar_T2w.nii.gz, sub-*/dwi/*_dwi.nii.gz, sub-*/func/*_task-SemDec_bold.nii.gz in File tree of ds007831 snapshot 1.0.4 (CC0), NIfTI files counted per subject

Scanner vendor

  • Siemens Healthineers 109 100%

README: Acquisition details in OpenNeuro ds007831 snapshot 1.0.4 (README, dataset_description.json, CHANGES and snapshot summary)

Age

mean 59.7 ± 13, median 62, range 22.5 to 84.2

0
10
20
30
40
40
20-2930-3940-4950-5960-6970-7980-89

age_mri in participants.tsv of ds007831 snapshot 1.0.4 (CC0), counted per row without the removed participant sub-KPH

Condition

Groups can overlap

  • Healthy control 109 100%

README: Summary in OpenNeuro ds007831 snapshot 1.0.4 (README, dataset_description.json, CHANGES and snapshot summary)

Age by sex

Reported cross table. Missing cells were not published (fewer than 10 or not reported).

Female Male
  • 12
    70-79
    n/a
  • 20
    60-69
    20
  • n/a
    50-59
    11
  • 11
    40-49
    n/a

sex, age_mri in participants.tsv of ds007831 snapshot 1.0.4 (CC0), counted per row without the removed participant sub-KPH

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wT2wFLAIRdwiboldSubjects with exactly this set
108
1

anat, func and dwi folders in File tree of ds007831 snapshot 1.0.4 (CC0), NIfTI files counted per subject

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

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.

dataset_description.json of snapshot 1.0.4 states "License" CC0.

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

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

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

Anderson EJ, Staples R, Dyslin SM, Chang EHT, Laks AB, Dickens JV, Mathur D, Paul S, Dvorak E, Turkeltaub PE. The Georgetown Reading in Aging Neuroimaging Dataset (GRAND): Reading and multimodal MRI data in older adults. bioRxiv (2026). doi:10.64898/2026.05.18.725986

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.