Evidence map›Paper›PMID 41882039›Full record

ArticleScientific data2026

A Multimodal Dataset to Investigate Task-Evoked Negative BOLD Response and Neurodegeneration.

Bardiya Ghaderi Yazdi, Sindy Ozoria, Seyed Hani Hojjati, Peter Chernek, Jenseric Calimag, Xiuyuan Hugh Wang, Qolamreza R Razlighi

Abstract readDataset
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

7 authors.

Bardiya Ghaderi YazdiDepartment of Radiology, Weill Cornell Medicine Brain Health Imaging Institute, Quantitative Neuroimaging Laboratory, New York, NY, USA.ORCID http://orcid.org/0000-0002-3411-0940
Sindy OzoriaDepartment of Radiology, Weill Cornell Medicine Brain Health Imaging Institute, Quantitative Neuroimaging Laboratory, New York, NY, USA.
Seyed Hani HojjatiDepartment of Radiology, Weill Cornell Medicine, Brain Health Imaging Institute, New York, NY, USA.
Peter ChernekDepartment of Radiology, Weill Cornell Medicine Brain Health Imaging Institute, Quantitative Neuroimaging Laboratory, New York, NY, USA.
Jenseric CalimagDepartment of Radiology, Weill Cornell Medicine Brain Health Imaging Institute, Quantitative Neuroimaging Laboratory, New York, NY, USA.
Xiuyuan Hugh WangDepartment of Radiology, Weill Cornell Medicine, Brain Health Imaging Institute, New York, NY, USA.
Qolamreza R RazlighiDepartment of Radiology, Weill Cornell Medicine Brain Health Imaging Institute, Quantitative Neuroimaging Laboratory, New York, NY, USA. qrr4001@med.cornell.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Functional Connectivity Network in default mode regions provides the underlying infrastructure for task-based functional co-de/activation networksR01AG057962 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI RAZLIGHI, QOLAMREZA RAY · 2018 to 2022
$4.0M
Tau progression index (TPI): An individualized predictor of Alzheimer's Disease trajectory based on subject-specific connectomesR01AG085972 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI TRACY A. BUTLER, GLORIA Chia-Yi CHIANG · 2024 to 2026
$2.5M
Analyzing age-related changes of brain activation in subjects native spaceK01AG044467 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RAZLIGHI, QOLAMREZA RAY · 2013 to 2017
$636k
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NIA NIH HHS K01 AG044467NIA NIH HHS R01 AG057962NIA NIH HHS R01 AG085972U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR002384U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG057962U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG085972
6 · The paper itself

Abstract

The Quantitative Neuroimaging Laboratory Dataset provides magnetic resonance imaging (MRI) modalities and two resting-state and twelve task-based functional MRI (fMRI) tapping into four cognitive domains (episodic memory, fluid reasoning, processing speed, and crystallized memory). It also includes three positron emission tomography (PET) scans ([18 F]Fluorodeoxyglucose (FDG), Florbetaben, and MK-6240), plus neuropsychological assessments, and vital signs. Currently, 356 participants consented (97 young: 20 ~ 40 years; and 259 elderly: 60 ~ 80 years), while 259 completed at least one scan. We uploaded 4688 MRI/fMRI and 719 PET scans (232 Florbetaben, 251 FDG, and 236 MK-6240). 189 participants completed all scan modalities. All imaging underwent an in-house, pre-processing pipeline developed for each modality. This dataset aims to characterize the spatial and temporal properties of the brain's hemodynamic response in the opposite direction (i.e., brain deactivation), its task dependency, and its interaction with the brain's large-scale functional connectivity networks. Ultimately, this will enable the translation of neuroimaging findings into personalized medicine approaches that better characterize and predict individual pathologies in neuropsychiatric diseases.

Indexed as

BrainHumansMagnetic Resonance ImagingNeuropsychological TestsPositron-Emission Tomography

Identifiers

PMID41882039
PMCPMC13181006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.