Evidence map›Paper›PMID 40568240›Full record

ArticleNeuroimage. Reports2021

The Aging Brain Cohort (ABC) repository: The University of South Carolina's multimodal lifespan database for studying the relationship between the brain, cognition, genetics and behavior in healthy aging.

Roger D Newman-Norlund, Sarah E Newman-Norlund, Sara Sayers, Samaneh Nemati, Nicholas Riccardi, Chris Rorden, Julius Fridriksson

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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.

Roger D Newman-NorlundUniversity of South Carolina, Department of Communication Sciences, Arnold School of Public Health, Columbia, SC, USA.
Sarah E Newman-NorlundUniversity of South Carolina, Department of Communication Sciences, Arnold School of Public Health, Columbia, SC, USA.
Sara SayersUniversity of South Carolina, Department of Communication Sciences, Arnold School of Public Health, Columbia, SC, USA.
Samaneh NematiUniversity of South Carolina, Department of Communication Sciences, Arnold School of Public Health, Columbia, SC, USA.
Nicholas RiccardiUniversity of South Carolina, Department of Psychology, College of Arts and Sciences, Columbia, SC, USA.
Chris RordenUniversity of South Carolina, Department of Psychology, College of Arts and Sciences, Columbia, SC, USA.
Julius FridrikssonUniversity of South Carolina, Department of Communication Sciences, Arnold School of Public Health, Columbia, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes the public repository that houses multimodal data collected as part of Aging Brain Cohort study being conducted at the University of South Carolina (ABC@UofSC). Ultimately, the ABC@UofSC Repository will contain diverse data from cross sectional (N ​= ​800, age ​= ​20-80) and longitudinal (N ​= ​200, age ​= ​60-80, interesting interval ​= ​4 years) samples of healthy South Carolinians which include socio demographic data, raw and preprocessed functional (resting-state and task based fMRI, ASL) and structural (T1, T2 FLAIR, DWI, SWI) MRI data, raw and preprocessed resting-state EEG, comprehensive blood work, measures of physical and sensory function, genetic data derived from whole blood and buccal swabs, and results from a unique constellation of social, emotional, cognitive and language measures. Currently, data has been collected from 65 participants (ages 60-80) in the longitudinal arm of the project. The ABC@UofSC Repository is unique in its broad range of measures, choice of state-of-the art MRI sequences, inclusion of complex language discourse measures, and demographic diversity. Data from the ABC@UofSC Repository are easily accessible upon request (abc.sc.edu), and our publicly available statistics and visualization tools provide collaborating researchers with the ability to identify associations between brain structure and function in relation to genetic variation and behavioral measures across the adult life-span with unprecedented ease and rapidity.

Indexed as

CognitionData repositoryHealthy agingLanguageLifestyleMultimodalNeuroimagingOlder adults

Identifiers

PMID40568240
PMCPMC12172904

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.