Evidence map›Paper›PMID 33466961›Full record

ArticleBrain sciences2021

Using Fractal Dimension Analysis with the Desikan-Killiany Atlas to Assess the Effects of Normal Aging on Subregional Cortex Alterations in Adulthood.

Chi-Wen Jao, Chi Ieong Lau, Li-Ming Lien, Yuh-Feng Tsai, Kuang-En Chu, Chen-Yu Hsiao, Jiann-Horng Yeh, Yu-Te Wu

Abstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Chi-Wen JaoInstitute of Biophotonics, National Yang-Ming University, Taipei 112, Taiwan.
Chi Ieong LauInstitute of Biophotonics, National Yang-Ming University, Taipei 112, Taiwan.ORCID 0000-0003-0699-2234
Li-Ming LienDepartment of Neurology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei 111, Taiwan.
Yuh-Feng TsaiSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei 242, Taiwan.
Kuang-En ChuDepartment of Gastroenterology, Shin Kong Wo Ho-Su Memorial Hospital, Taipei 111, Taiwan.
Chen-Yu HsiaoDepartment of Diagnostic Radiology, Shin Kong Wu Ho Su Memorial Hospital, Taipei 111, Taiwan.
Jiann-Horng YehSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei 242, Taiwan.
Yu-Te WuInstitute of Biophotonics, National Yang-Ming University, Taipei 112, Taiwan.

Funding

Shin Kong Wu Ho-Su Memorial Hospital 109GB006-3
6 · The paper itself

Abstract

Normal aging is associated with functional and structural alterations in the human brain. The effects of normal aging and gender on morphological changes in specific regions of the brain are unknown. The fractal dimension (FD) can be a quantitative measure of cerebral folding. In this study, we used 3D-FD analysis with the Desikan-Killiany (DK) atlas to assess subregional morphological changes in adulthood. A total of 258 participants (112 women and 146 men) aged 30-85 years participated in this study. Participants in the middle-age group exhibited a decreased FD in the lateral frontal lobes, which then spread to the temporal and parietal lobes. Men exhibited an earlier and more significant decrease in FD values, mainly in the right frontal and left parietal lobes. Men exhibited more of a decrease in FD values in the subregions on the left than those in the right, whereas women exhibited more of a decrease in the lateral subregions. Older men were at a higher risk of developing mild cognitive impairment (MCI) and exhibited age-related memory decline earlier than women. Our FD analysis using the DK atlas-based prediagnosis may provide a suitable tool for assessing normal aging and neurodegeneration between groups or in individual patients.

Indexed as

Desikan–Killiany Atlasfractal dimensionKeywords: normal agingprediagnosis

Identifiers

PMID33466961
PMCPMC7829920

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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.