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A longitudinal resource for mapping interindividual variation in the aging connectome.

Overview

Authors: Anna MacKay-Brandt1, Yunglin Gazes2, Daniel Garcia-Barnett2, Lauren A. Grebe3, Olivia Ripley2, Kai Xuan Gan1, Kristin D. Trautman1, Melissa Kramer4, Melissa M. Breland4, Russell Tobe4,5,6, Alexandre R. Franco2,5,6, Vilma Gabbay4,7, Michael Milham2,5, Stan J. Colcombe2,5,6
  1. Brain Aging and Mental Health Laboratory, Clinical Research, Nathan Kline Institute,Orangeburg, NY USA
  2. Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute,Orangeburg, NY USA
  3. Communication Sciences and Disorders, St. John’s University,Queens, NY USA
  4. Clinical Research, Nathan Kline Institute,Orangeburg, NY 10962 USA
  5. Child Mind Institute,New York, NY USA
  6. Department of Psychiatry, New York University Grossman School of Medicine,New York, NY USA
  7. University of Miami Leonard M. Miller School of Medicine,Miami, FL USA
Institutions: Nathan Kline Institute for Psychiatric Research (United States); St. John's University (United States); Child Mind Institute (United States); New York University (United States); University of Miami (United States)
Journal: Scientific data, volume 13, issue 1, article 1107
Dates: received 24 October 2025; accepted 23 June 2026; published online 30 July 2026
Type: Data paper · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41597-026-07746-7 · PMID 42532989 · PMCID PMC13424306 · OpenAlex W7171818764
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism), methods / tools (subfield)
Methods: Preprocessing
MeSH: Aging*, Brain*, Connectome*, Aged, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Middle Aged, Neuroimaging (* major topic)
Journal subjects: Data Descriptor
Funding: New York State Office of Mental Health; NIH (R01MH094639, R01AG047596)
Citations: cited by 1 paper (Europe PMC); 101 references in the paper

Abstract

Trajectories of age-related neurocognitive decline are nonuniform, and are impacted by numerous environmental and physiological factors. Earlier life phases set the stage for later life neurocognitive function, with midlife marking a critical transition characterized by increasing variability in cognitive, affective, and physiological functioning. Despite its importance, this turbulent period remains underrepresented in open neuroimaging data resources. To address this gap, the Nathan Kline Institute - Rockland Sample (NKI-RS) created ‘Mapping Interindividual Variation in the Aging Connectome’ (MIVAC), an openly shared, multimodal dataset designed to map brain aging trajectories beginning in midlife and assess the influence of key modifiable factors linked to dementia prevention such as cardiorespiratory fitness, sleep, and mood. This longitudinal investigation includes 348 community-ascertained participants aged 38 to 71 years at baseline, with 219 participants completing 3 annual timepoints. Data collection incorporated deep phenotyping, including detailed assessment of cognitive, behavioral, medical, and cardiorespiratory fitness domains, to compliment multimodal neuroimaging (resting-state fMRI, diffusion MRI, morphometric MRI, and arterial spin labeling) and biospecimen collection. The protocol harmonizes with prior NKI-RS sub studies, enabling lifespan cross-sectional or longitudinal questions, while incorporating age-specific considerations for cognitive and neural aging. The full dataset is openly available.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Code availability

Python scripts written in-house were used to calculate summary scores for a few variables presented in this paper and are listed in variables_used.csv. Both the csv file and the scripts are available on the MIVAC webpage (10.15387/MIVAC) for download.

Reproduced under the paper's license (CC BY), from the paper cited above.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data availability

Information for researchers about the Rockland Sample study and how to obtain data can be found on the study website: https://rocklandsample.org/for-researchers. Instructions for access to a static dataset used to generate this data paper and detailed descriptions specific to the MIVAC study are available here: 10.15387/MIVAC Phenotypic data is available on the NKI hosted LORIS platform: https://data.rocklandsample.rfmh.org Step-by-step instructions on how to download neuroimaging data can be found here: https://rocklandsample.org/accessing-the-neuroimaging-data-releases Instructions on the repository website detail how to access the open AWS S3 bucket. BIDS organized data can also be directly accessed through this S3 path:s3://fcp-indi/data/Projects/RocklandSample/RawDataBIDSLatest.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 14 authors, 10 MeSH terms, 2 funders, 97 references.

Cite

This paper

MacKay-Brandt, A., Gazes, Y., Garcia-Barnett, D., Grebe, L. A., Ripley, O., Gan, K. X., Trautman, K. D., Kramer, M., Breland, M. M., Tobe, R., Franco, A. R., Gabbay, V., Milham, M., & Colcombe, S. J. (2026). A longitudinal resource for mapping interindividual variation in the aging connectome. Scientific data, 13(1), 1107. https://doi.org/10.1038/s41597-026-07746-7

BibTeX

@article{mackaybrandt2026longitudinal,
author = {MacKay-Brandt, Anna and Gazes, Yunglin and Garcia-Barnett, Daniel and Grebe, Lauren A. and Ripley, Olivia and Gan, Kai Xuan and Trautman, Kristin D. and Kramer, Melissa and Breland, Melissa M. and Tobe, Russell and Franco, Alexandre R. and Gabbay, Vilma and Milham, Michael and Colcombe, Stan J.},
title = {{A longitudinal resource for mapping interindividual variation in the aging connectome}},
journal = {Scientific data},
year = {2026},
month = jul,
volume = {13},
number = {1},
pages = {1107},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07746-7},
url = {https://doi.org/10.1038/s41597-026-07746-7},
pmid = {42532989},
pmcid = {PMC13424306}
}

RIS

TY - JOUR
AU - MacKay-Brandt, Anna
AU - Gazes, Yunglin
AU - Garcia-Barnett, Daniel
AU - Grebe, Lauren A.
AU - Ripley, Olivia
AU - Gan, Kai Xuan
AU - Trautman, Kristin D.
AU - Kramer, Melissa
AU - Breland, Melissa M.
AU - Tobe, Russell
AU - Franco, Alexandre R.
AU - Gabbay, Vilma
AU - Milham, Michael
AU - Colcombe, Stan J.
TI - A longitudinal resource for mapping interindividual variation in the aging connectome
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/07/30
VL - 13
IS - 1
SP - 1107
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07746-7
UR - https://doi.org/10.1038/s41597-026-07746-7
LA - en
ER -

CSL-JSON

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