Evidence map›Paper›PMID 38262221›Full record

ArticleNeurobiology of aging2024

Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants.

Mohammad Taghvaei, Dawn J Mechanic-Hamilton, Shokufeh Sadaghiani, Banafsheh Shakibajahromi, Sudipto Dolui, Sandhitsu Das, Christopher Brown, William Tackett, Pulkit Khandelwal, Philip Cook and 6 more

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 3 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Mohammad TaghvaeiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Dawn J Mechanic-HamiltonDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Shokufeh SadaghianiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Banafsheh ShakibajahromiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Sudipto DoluiDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Sandhitsu DasDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Christopher BrownDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
William TackettDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Pulkit KhandelwalDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Philip CookDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Paul YushkevichDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
John A DetreDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: detre@pennmedicine.upenn.edu.
Alzheimer’s Disease Neuroimaging Initiative
University of Pennsylvania · USPenn Center for AIDS Research · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Edward Byung-Ha Lee · 2021 to 2026
$24.8M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
High Spatial and Temporal Resolution MRI Mapping of Oxygen Consumption in HumansP41EB029460 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Ravinder Reddy · 2021 to 2026
$7.6M
Connectomic imaging in familial and sporadic frontotemporal degenerationU01AG052943 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GORNO TEMPINI, MARIA LUISA, GROSSMAN, MURRAY · 2016 to 2019
$5.9M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Novel Biomarkers of Small Vessel Contributions to Vascular Cognitive Impairment and Dementia (VCID)R01NS111115 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DETRE, JOHN A, WANG, JIANHUA · 2019 to 2023
$3.7M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseR01AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2024 to 2025
$1.4M
Development of a Mobile Cognitive App for Detecting and Monitoring Change in Preclinical Alzheimer's DiseaseK23AG065499 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MECHANIC-HAMILTON, DAWN J · 2020 to 2024
$884k
NIA NIH HHS K23 AG065499NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG069474NIA NIH HHS R21 AG070434NIA NIH HHS RF1 AG056014NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG052564NIA NIH HHS U01 AG052943NIBIB NIH HHS P41 EB029460NIMH NIH HHS R01 MH112847NINDS NIH HHS R01 NS060910NINDS NIH HHS R01 NS111115NINDS NIH HHS R01 NS112274
6 · The paper itself

Abstract

We used indirect brain mapping with virtual lesion tractography to test the hypothesis that the extent of white matter tract disconnection due to white matter hyperintensities (WMH) is associated with corresponding tract-specific cognitive performance decrements. To estimate tract disconnection, WMH masks were extracted from FLAIR MRI data of 481 cognitively intact participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) and used as regions of avoidance for fiber tracking in diffusion MRI data from 50 healthy young participants from the Human Connectome Project. Estimated tract disconnection in the right inferior fronto-occipital fasciculus, right frontal aslant tract, and right superior longitudinal fasciculus mediated the effects of WMH volume on executive function. Estimated tract disconnection in the left uncinate fasciculus mediated the effects of WMH volume on memory and in the right frontal aslant tract on language. In a subset of ADNI control participants with amyloid data, positive status increased the probability of periventricular WMH and moderated the relationship between WMH burden and tract disconnection in executive function performance.

Indexed as

Alzheimer DiseaseConnectomeWhite MatterCognitionHumansMagnetic Resonance ImagingNeuroimagingCognitionStructural connectivityWhite matter fiber tractWhite matter hyperintensity (WMH)

Identifiers

PMID38262221
PMCPMC10872454
OpenAlexW4389580469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.