Evidence map›Paper›PMID 30710872›Full record

ArticleNeuroImage. Clinical2019

Resting state network modularity along the prodromal late onset Alzheimer's disease continuum.

Joey A Contreras, Andrea Avena-Koenigsberger, Shannon L Risacher, John D West, Eileen Tallman, Brenna C McDonald, Martin R Farlow, Liana G Apostolova, Joaquín Goñi, Mario Dzemidzic and 6 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Combined Cognitive Training and Vortioxetine Mitigates Age-Related Declines in Functional Brain Network Integrity.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Caudal and Thalamic Segregation in White Matter Brain Network Communities in Alzheimer's Disease Population.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Dissociable Effects of Alzheimer's Disease-Related Cognitive Dysfunction and Aging on Functional Brain Network Segregation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Cortico-striatal functional connectivity and cerebral small vessel disease: Contribution to mild Parkinsonian signs.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    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

16 authors.

Joey A ContrerasDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Indiana University Network Science Institute, Bloomington, IN, USA; Program in Medical Neuroscience, Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Andrea Avena-KoenigsbergerDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Shannon L RisacherDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA.
John D WestDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA.
Eileen TallmanDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA.
Brenna C McDonaldDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Program in Medical Neuroscience, Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Neurology, IUSM, Indianapolis, IN, USA.
Martin R FarlowIndiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Department of Neurology, IUSM, Indianapolis, IN, USA.
Liana G ApostolovaDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Program in Medical Neuroscience, Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Neurology, IUSM, Indianapolis, IN, USA.
Joaquín GoñiDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; College of Engineering, Purdue University, West Lafayette, IN, USA.
Mario DzemidzicDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Program in Medical Neuroscience, Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Neurology, IUSM, Indianapolis, IN, USA.
Yu-Chien WuDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA.
Daniel KesslerDepartments of Statistics and Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Lucas JeubIndiana University Network Science Institute, Bloomington, IN, USA; School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA.
Santo FortunatoIndiana University Network Science Institute, Bloomington, IN, USA; School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA.
Andrew J SaykinDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Indiana University Network Science Institute, Bloomington, IN, USA; Program in Medical Neuroscience, Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Neurology, IUSM, Indianapolis, IN, USA. Electronic address: asaykin@iupui.edu.
Olaf SpornsDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA; Indiana Alzheimer Disease Center, IUSM, Indianapolis, IN, USA; Indiana University Network Science Institute, Bloomington, IN, USA; School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA; Program in Medical Neuroscience, Paul and Carole Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA. Electronic address: osporns@indiana.edu.

Funding

Modeling Axonal Density and Inflammation-Associated Cellularity in Alzheimer’s Disease Using Hybrid Diffusion ImagingR01AG053993 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WU, YU-CHIEN · 2016 to 2020
$2.0M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
NIA NIH HHS K01 AG049050NIA NIH HHS R01 AG053993
6 · The paper itself

Abstract

Alzheimer's disease is considered a disconnection syndrome, motivating the use of brain network measures to detect changes in whole-brain resting state functional connectivity (FC). We investigated changes in FC within and among resting state networks (RSN) across four different stages in the Alzheimer's disease continuum. FC changes were examined in two independent cohorts of individuals (84 and 58 individuals, respectively) each comprising control, subjective cognitive decline, mild cognitive impairment and Alzheimer's dementia groups. For each participant, FC was computed as a matrix of Pearson correlations between pairs of time series from 278 gray matter brain regions. We determined significant differences in FC modular organization with two distinct approaches, network contingency analysis and multiresolution consensus clustering. Network contingency analysis identified RSN sub-blocks that differed significantly across clinical groups. Multiresolution consensus clustering identified differences in the stability of modules across multiple spatial scales. Significant modules were further tested for statistical association with memory and executive function cognitive domain scores. Across both analytic approaches and in both participant cohorts, the findings converged on a pattern of FC that varied systematically with diagnosis within the frontoparietal network (FP) and between the FP network and default mode network (DMN). Disturbances of modular organization were manifest as greater internal coherence of the FP network and stronger coupling between FP and DMN, resulting in less segregation of these two networks. Our findings suggest that the pattern of interactions within and between specific RSNs offers new insight into the functional disruption that occurs across the Alzheimer's disease spectrum.

Indexed as

Prodromal SymptomsAgedAged, 80 and overAge of OnsetAlzheimer DiseaseCerebral CortexCohort StudiesConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetAlzheimer's diseaseBrain networksConnectomicsFunctional connectivityResting state

Identifiers

PMID30710872
PMCPMC6357852

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.