Evidence map›Paper›PMID 42367670›Full record

ArticleBrain communications2026

Associations of local white matter geometry with network efficiency, macrostructural abnormalities, and clinical severity in behavioural variant frontotemporal dementia.

Qinyao Sun, Yu Zhang, Xin Jin, Jian Cheng, Jianyu Li, Ting Qiu, Zhanbing Ren, Ke Li, Huixiong Zhang, Frontotemporal Lobar Degeneration Neuroimaging Initiative and 5 more

Abstract read
In one paragraph

Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qinyao SunThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
Yu ZhangSchool of Psychology, Shanghai Jiao Tong University, Shanghai 200030, China.ORCID https://orcid.org/0000-0001-7159-4561
Xin JinThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.ORCID https://orcid.org/0000-0002-9663-7158
Jian ChengSchool of Computer Science and Engineering, Beihang University, Beijing 100191, China.
Jianyu LiThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
Ting QiuDouglas Mental Health University Institute, McGill University, Montreal H4H 1R3, Canada.ORCID https://orcid.org/0009-0007-8209-4424
Zhanbing RenCollege of Physical Education, Shenzhen University, Shenzhen 518060, P. R. China.
Ke LiThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
Huixiong ZhangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
Frontotemporal Lobar Degeneration Neuroimaging Initiative
Kewei ChenCollege of Health Solutions, Arizona State University, Tempe, AZ 85281, USA.
Lena PalaniyappanDouglas Mental Health University Institute, McGill University, Montreal H4H 1R3, Canada.ORCID https://orcid.org/0000-0003-1640-7182
Yifan ChenThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
B Blair BradenCollege of Health Solutions, Arizona State University, Tempe, AZ 85281, USA.
Yuanchao ZhangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.ORCID https://orcid.org/0000-0001-8191-4899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behavioural variant frontotemporal dementia (bvFTD), marked by profound changes in behaviour and personality, is the most common subtype of frontotemporal dementia, driven by neurodegeneration in frontotemporal regions. This neurodegeneration pattern is partially shaped by white matter abnormalities arising from the spread of protein aggregates along axonal pathways. While prior studies mainly focused on diffusion tensor imaging metrics such as fractional anisotropy and mean diffusivity, the alteration in local white matter geometry remains largely unexplored. Using a novel Director Field Analysis (DFA) method, 51 patients with bvFTD and 51 healthy controls were studied to examine alterations in the local geometry of white matter fibres in bvFTD, and their associations with macrostructural morphology, global network parameters, and clinical manifestations. Unlike the unidirectional decrease in fractional anisotropy and increase in mean diffusivity, we identified significant bidirectional alterations in white matter local geometry, characterized by increased geometric distortion in the forceps minor and dorsal cingulum and decreased distortion in widespread frontotemporal association tracts, including the inferior fronto-occipital fasciculus, superior longitudinal fasciculus, uncinate fasciculus, frontal aslant tract, and arcuate fasciculus. Patients with bvFTD also showed reduced cerebral white and grey matter volumes (both

Indexed as

behavioural variant frontotemporal dementiadirector field analysismicrostructurenetwork efficiencyproteinopathy

Identifiers

PMID42367670
PMCPMC13297003

What Socratic holds

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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 Socratic graph.