Evidence map›Paper›PMID 31243597›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2019

Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits.

Daegyeom Kim, Suji Lee, Myungwon Choi, HyunChul Youn, Sangil Suh, Hyun-Ghang Jeong, Cheol E Han

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Brain Topological Changes in Subjective Cognitive Decline and Associations with Amyloid Stages.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  13. The impact of white matter hyperintensities on speech perception.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
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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 at 2 institutions in 2 countries.

Daegyeom KimDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea.
Suji LeeDepartment of Biomedical Sciences, Korea University Graduate School, Seoul, Republic of Korea.
Myungwon ChoiDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea.
HyunChul YounDepartment of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sangil SuhDepartment of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Hyun-Ghang JeongDepartment of Biomedical Sciences, Korea University Graduate School, Seoul, Republic of Korea. jeonghg@korea.ac.kr.ORCID http://orcid.org/0000-0002-0318-5069
Cheol E HanDepartment of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea. cheolhan@korea.ac.kr.
Korea University · KRKorea University Medical Center · KR

Funding

Korea Health Industry Development Institute HC15C1509Korea Health Industry Development Institute HI19C0645Ministry of Education 2016R1D1A1B03934990Ministry of Science, ICT and Future Planning NRF-2015R1C1A1A01052172
6 · The paper itself

Abstract

purposeSome elders with subjective cognitive deficits (SCD) develop prodromal phase of dementia over time; however, little is known about how they differ from those with normal cognition (NC). Thus, we aim to distinguish the differences in the brain network of elders with SCD and NC.

methodsMultiple diffusion-weighted images (DWI) and T1-weighted images were obtained from 18 subjects with NC and 26 subjects with SCD. Using network-based statistics (NBS) analysis, we extracted abnormal brain subnetworks and localized abnormal brain connectivity. We also ran correlation analysis to compare the affected regions and the results of the neurocognitive assessments.

resultsAltered subnetworks were found in the superior parietal gyrus, angular gyrus, precuneus, posterior cingulum, putamen, precentral gyrus, postcentral gyrus, and paracentral lobule. They were also associated with scores on the word list recall, word list recognition, and Boston naming test.

conclusionsElders with SCD had distinctive brain network alterations when compared with those of elders with NC. The results are also in line with the previously identified characteristics of mild cognitive impairment (MCI) and of Alzheimer's disease (AD) in a milder form. We speculate that it may be possible to predict AD progression early in the SCD stage using NBS analysis.

Indexed as

AgedAged, 80 and overAgingCerebral CortexCognitive DysfunctionDiagnostic Self EvaluationDiffusion Tensor ImagingFemaleHumansMaleNerve NetPutamenAlzheimer’s diseaseCognitive functionMild cognitive impairmentNetwork-based statisticsSubjective cognitive deficits

Identifiers

PMID31243597
OpenAlexW2955373542

What Socratic holds

Textmetadata
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 Socratic graph.