Evidence map›Paper›PMID 34215155›Full record

ArticleNeuroImage. Clinical2021

Cortical neuroanatomical changes related to specific neuropsychological deficits in subcortical vascular cognitive impairment.

Sung Hoon Kang, Yu Hyun Park, Jun Pyo Kim, Ji-Sun Kim, Chi Hun Kim, Hyemin Jang, Hee Jin Kim, Seong-Beom Koh, Duk L Na, Juhee Chin and 1 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Independent effect of neurogenic orthostatic hypotension on mild cognitive impairment in Parkinson's disease.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2022
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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

11 authors at 4 institutions in 2 countries.

Sung Hoon KangDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Yu Hyun ParkDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea.
Jun Pyo KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
Ji-Sun KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
Chi Hun KimDepartment of Neurology, Kyungpook National University Chilgok Hospital, Kyungpook National University School of Medicine, Daegu, South Korea; Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Hyemin JangDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
Hee Jin KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
Seong-Beom KohDepartment of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Duk L NaDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
Juhee ChinDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea. Electronic address: juheechin@hanmail.net.
Sang Won SeoDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea; Samsung Alzheimer Research Center and Center for Clinical Epidemiology Medical Center, Seoul, South Korea. Electronic address: sangwonseo@empal.com.
Samsung Medical Center · KRSungkyunkwan University · KRKorea University Medical Center · KRKyungpook National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNeuropsychological test-specific neural substrates in subcortical vascular cognitive impairment (SVCI) are expected to differ from those in Alzheimer's disease-related cognitive impairment (ADCI) but the details are unclear. To determine neural substrates related to cerebral small vessel disease, we investigated the correlations between cognitive dysfunctions measured by standardized neuropsychological tests and cortical thickness in a large sample of participants with amyloid negative (Aβ (-)) SVCI.

methodsOne hundred ninety-eight participants with Aβ (-) SVCI were recruited from the memory clinic between November 2007 to August 2018. To acquire neural substrates, we performed linear regression using the scores of each neuropsychological test as a predictor, cortical thickness as an outcome, and age, sex, education years, intracranial volume and white matter hyperintensity (WMH) as confounders.

resultsPoor performances in each neuropsychological test were associated with cortical atrophy in certain brain regions regardless of WMH. Especially, not the medial temporal but the frontal and posterior cingulate regions with cortical atrophy were mainly associated with memory impairment. Poor performance in animal fluency was more likely to be associated with cortical atrophy in the left hemisphere, while poor performance in the visuospatial memory test was more likely to be associated with cortical atrophy in the right hemisphere.

conclusionsOur findings suggested that cortical atrophy was an important factor of cognitive impairment in Aβ (-) SVCI regardless of WMH. Furthermore, our findings might give clinicians a better understanding of specific neural substrates of neuropsychological deficits in patients with SVCI.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBrainHumansMagnetic Resonance ImagingNeuropsychological TestsCortical atrophyNeural substrateNeuropsychological testSubcortical vascular cognitive impairment

Identifiers

PMID34215155
PMCPMC8102616
OpenAlexW3158386828

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.