Evidence map›Paper›PMID 41209242›Full record

ArticleQuantitative imaging in medicine and surgery2025

Microstructural brain changes and their impact on hemorrhagic stroke recovery: a neurite orientation dispersion and density imaging-based study.

Sihui Wang, Hongwei Li, Yingjie Zhang, Xiaochen Wang, Xuening Zhao, Lingxu Chen, Mengyuan Yuan, Ying Yan, Zhensen Chen, He Wang and 2 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
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

12 authors.

Sihui Wang *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hongwei Li *Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-1591-7674
Yingjie Zhang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaochen WangDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xuening ZhaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lingxu ChenDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Mengyuan YuanDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ying YanDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhensen ChenInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.
He WangInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.
Yi JuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shengjun SunDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intracerebral hemorrhage (ICH) induces profound microstructural damage, particularly to axonal integrity and connectivity. This disruption severely compromises the efficiency and precision of neural signal transmission, serving as a key determinant of post-ICH functional outcome. Precise evaluation of these changes is therefore essential for prognostication and guiding targeted rehabilitation strategies. This study aimed to investigate the correlation between the patterns of microstructural changes in brain tissue following ICH and the patients' functional outcome and cognitive status based on neurite orientation dispersion and density imaging (NODDI). Methods: Thirty-six patients underwent 3-T magnetic resonance imaging (MRI) within 3 days of symptom onset. Functional outcome and cognitive status were evaluated via the modified Rankin scale (mRS) score and the Mini-Mental State Examination (MMSE) 90 days after onset. Individuals with an mRS score exceeding 2 were categorized into the poor function prognosis group. The intracellular volume fraction (ICVF), orientation dispersion index (ODI), and isotropic volume fraction (ISOVF) within the cortical gray matter, deep gray matter, and white matter of both the unaffected and affected hemispheres were assessed. To identify independent predictors of poor prognosis, multivariate logistic regression analysis was conducted. Additionally, Spearman correlation analysis was used to investigate the associations between NODDI indices and MMSE score. Results: The ODI of the white matter in the affected hemisphere was found to be an independent predictor of poor functional outcome of ICH [odds ratio 1.126; 95% confidence interval (CI): 1.004-1.263; P=0.042]. The area under the curve (AUC) value for predicting poor prognosis with ODI values in the affected cerebral hemisphere in conjunction with clinical variables was 0.910. Spearman correlation analysis indicated a significant negative correlation between the ODI of the deep gray matter on the affected side and MMSE score (R =-0.489; P=0.003). Conclusions: MRI metrics derived from the multishell diffusion model suggest that the early stage of ICH may result in the disruption of microstructural integrity. Damage to white-matter neurons in the affected cerebral hemisphere is correlated with functional impairment, whereas damage to deep gray-matter neurons in the same hemisphere is associated with a decline in cognitive outcome.

Indexed as

Intracerebral hemorrhage (ICH)magnetic resonance imaging (MRI)neurite orientation dispersion and density imaging (NODDI)outcome prediction

Identifiers

PMID41209242
PMCPMC12591761

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.