Evidence map›Paper›PMID 35993678›Full record

ArticleHuman brain mapping2023

Neuropsychiatric symptoms associated multimodal brain networks in Alzheimer's disease.

Kaicheng Li, Qingze Zeng, Xiao Luo, Shile Qi, Xiaopei Xu, Zening Fu, Luwei Hong, Xiaocao Liu, Zheyu Li, Yanv Fu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 18 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

15 authors at 3 institutions in 2 countries.

Kaicheng LiDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Qingze ZengDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiao LuoDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Shile QiDepartment of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.ORCID 0000-0003-3486-2277
Xiaopei XuDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-1591-4900
Luwei HongDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiaocao LiuDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Zheyu LiDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yanv FuDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yanxing ChenDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-8571-2802
Zhirong LiuDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Peiyu HuangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-4226-9369
Minming ZhangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-0145-7558
Second Affiliated Hospital of Zhejiang University · CNGeorgia Institute of Technology · USNanjing University of Aeronautics and Astronautics · CN

Funding

Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disordersRF1AG063153 · NIA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2020
$3.5M
NIA NIH HHS RF1 AG063153
6 · The paper itself

Abstract

Concomitant neuropsychiatric symptoms (NPS) are associated with accelerated Alzheimer's disease (AD) progression. Identifying multimodal brain imaging patterns associated with NPS may help understand pathophysiology correlates AD. Based on the AD continuum, a supervised learning strategy was used to guide four-way multimodal neuroimaging fusion (Amyloid, Tau, gray matter volume, brain function) by using NPS total score as the reference. Loadings of the identified multimodal patterns were compared across the AD continuum. Then, regression analyses were performed to investigate its predictability of longitudinal cognition performance. Furthermore, the fusion analysis was repeated in the four NPS subsyndromes. Here, an NPS-associated pathological-structural-functional covaried pattern was observed in the frontal-subcortical limbic circuit, occipital, and sensor-motor region. Loading of this multimodal pattern showed a progressive increase with the development of AD. The pattern significantly correlates with multiple cognitive domains and could also predict longitudinal cognitive decline. Notably, repeated fusion analysis using subsyndromes as references identified similar patterns with some unique variations associated with different syndromes. Conclusively, NPS was associated with a multimodal imaging pattern involving complex neuropathologies, which could effectively predict longitudinal cognitive decline. These results highlight the possible neural substrate of NPS in AD, which may provide guidance for clinical management.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBrainGray MatterHumansNeuroimagingAlzheimer's diseasecognitive declinefrontal-subcortical limbic circuitneuropsychiatric symptomssupervised multimodal fusion

Identifiers

PMID35993678
PMCPMC9783460
OpenAlexW4292616273

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.