Evidence map›Paper›PMID 38994693›Full record

ArticleHuman brain mapping2024

MRI-based axis-referenced morphometric model corresponding to lamellar organization for assessing hippocampal atrophy in dementia.

Na Gao, Chenfei Ye, Hantao Chen, Xingyu Hao, Ting Ma

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

5 authors.

Na GaoElectronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China.ORCID 0000-0001-8516-9777
Chenfei YeInternational Research Institute for Artificial Intelligence, Harbin Institute of Technology at Shenzhen, Shenzhen, China.
Hantao ChenElectronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Xingyu HaoElectronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Ting MaElectronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China.ORCID 0000-0001-8819-6228

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515010792National Natural Science Foundation of P.R. China 62106113National Natural Science Foundation of P.R. China 62276081
6 · The paper itself

Abstract

Research on the local hippocampal atrophy for early detection of dementia has gained considerable attention. However, accurately quantifying subtle atrophy remains challenging in existing morphological methods due to the lack of consistent biological correspondence with the complex curving regions like the hippocampal head. Thereby, this article presents an innovative axis-referenced morphometric model (ARMM) that follows the anatomical lamellar organization of the hippocampus, which capture its precise and consistent longitudinal curving trajectory. Specifically, we establish an "axis-referenced coordinate system" based on a 7 T ex vivo hippocampal atlas following its entire curving longitudinal axis and orthogonal distributed lamellae. We then align individual hippocampi by deforming this template coordinate system to target spaces using boundary-guided diffeomorphic transformation, while ensuring that the lamellar vectors adhere to the constraint of medial-axis geometry. Finally, we measure local thickness and curvatures based on the coordinate system and boundary surface reconstructed from vector tips. The morphometric accuracy is evaluated by comparing reconstructed surfaces with those directly extracted from 7 T and 3 T MRI hippocampi. The results demonstrate that ARMM achieves the best performance, particularly in the curving head, surpassing the state-of-the-art morphological models. Additionally, morphological measurements from ARMM exhibit higher discriminatory power in distinguishing early Alzheimer's disease from mild cognitive impairment compared to volume-based measurements. Overall, the ARMM offers a precise morphometric assessment of hippocampal morphology on MR images, and sheds light on discovering potential image markers for neurodegeneration associated with hippocampal impairment.

Indexed as

AtrophyDementiaHippocampusMagnetic Resonance ImagingAgedAged, 80 and overFemaleHumansImage Processing, Computer-AssistedMaleMiddle Agedcomputational anatomyhippocampuslamellar organizationmorphometricsMRI

Identifiers

PMID38994693
PMCPMC11240145

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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.