Evidence map›Paper›PMID 42648510›Full record

ArticleNeuroImage2026

Aging, brain network connectivity, and cognition: evidence from resting-state dynamic arterial spin labeling.

Yakun Zhang, Elizabeth Riley, Shichun Chen, Zongpai Zhang, Li Zhao, Heather Wang, Adam K Anderson, Eve DeRosa, Weiying Dai

Abstract read
In one paragraph

Article in NeuroImage, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yakun ZhangSchool of Computing, State University of New York at Binghamton, Binghamton, NY, United States.
Elizabeth RileyDepartment of Psychology, Cornell University, Ithaca, NY, 14853, USA.
Shichun ChenSchool of Computing, State University of New York at Binghamton, Binghamton, NY, United States; School of Medicine, Fuzhou University Affiliated Provincial Hospital, Fuzhou University, Fuzhou, Fujian, 350108, China.
Zongpai ZhangSchool of Computing, State University of New York at Binghamton, Binghamton, NY, United States.
Li ZhaoCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, 310027, China.
Heather WangSchool of Computing, State University of New York at Binghamton, Binghamton, NY, United States.
Adam K AndersonDepartment of Psychology, Cornell University, Ithaca, NY, 14853, USA.
Eve DeRosaDepartment of Psychology, Cornell University, Ithaca, NY, 14853, USA.
Weiying DaiSchool of Computing, State University of New York at Binghamton, Binghamton, NY, United States. Electronic address: wdai@binghamton.edu.

Funding

Basal Forebrain connections to the heart and mind in healthy agingR01AG066430 · NIA · CORNELL UNIVERSITY · PI ANDERSON, ADAM K, DEROSA, EVE · 2020 to 2024
$2.7M
Functional MRI in SchizophreniaR21MH126260 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAI, WEIYING, HE, XIANG · 2022 to 2023
$467k
NIA NIH HHS R01 AG066430NIMH NIH HHS R21 MH126260
6 · The paper itself

Abstract

introductionBackground-suppressed dynamic arterial spin labeling (bDASL) has emerged as a robust method for measuring functional connectivity with substantially reduced systemic noise. We leveraged bDASL to characterize age-related changes in resting-state functional connectivity (rsFC) and to examine how these changes correlate with cognitive performance across the lifespan.

methodsA total of 139 healthy adults underwent rsFC measurements using bDASL, among whom 115 also completed cognitive assessments. Group independent component analysis (ICA) was employed to identify four high-order resting-state networks: the default mode (DMN), dorsal attention (DAN), salience (SN), and frontoparietal control (FPN) networks. Seed-based analyses were then used to quantify intra- and inter-network rsFC. Multiple linear regressions were conducted to study these relationships.

resultsOur findings demonstrate that aging was associated with widespread reductions in both intra-network connectivity within all four networks, and inter-network connectivity among the DMN-SN, DAN-SN, and FPN-SN. These connectivity differences were associated with diminished global signal fluctuations, suggesting that alterations in brain-wide dynamics accompany age-related changes in functional network organization. Crucially, the relationship between network connectivity and executive function differed by age, with preserved DAN-centered connectivity showing a strong association with executive function in older adults.

conclusionAlthough aging was associated with widespread reductions in functional connectivity, older adults who preserved greater intra-network DAN connectivity and stronger inter-network connectivity between the DAN and the DMN, SN, and FPN exhibited better executive function. These findings suggest that maintaining DAN-centered communication may contribute to cognitive resilience during healthy aging. Collectively, this work provides insight into patterns of functional reorganization associated with the aging brain and identifies DAN-centered integration as a potential marker of cognitive resilience.

Indexed as

AgingBrainCognitionConnectomeNerve NetAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSpin LabelsYoung AdultSpin LabelsAgingArterial spin labelingBrain network connectivityCognitionResting-state functional connectivity

Identifiers

PMID42648510
PMCPMC13589877

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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.