Evidence map›Paper›PMID 40800810›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Novel identifications of cerebral hemodynamics using BOLD fMRI in patients with sickle cell disease.

Brianna Kish, Jinxia Fiona Yao, Andrew John Frels, Jessica Budde, Vidhya Vijayakrishnan Nair, Andrew Q Pucka, Ziyue Liu, Andrew Rw O'Brien, Yunjie Tong, Ying Wang

2 registry-linked trialsAbstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT05045820 naactive not recruitingnot on this map

Integrative Medicine in Pain Management in Sickle Cell Disease: Assessing the Clinical Efficacy and Neurobiological Impact With Acupuncture

TypeinterventionalSponsorIndiana UniversityRan2021 to 2026Enrolled106ConditionsSickle Cell Disease, Pain, Acupuncture, Quantitative Sensory TestingArmsneedling acupuncture, laser acupuncture
NCT06725550 narecruitingnot on this mapstarted 2026, after this paper: background citation

Integrative Medicine in Pain Management in Sickle Cell Disease: Assessing the Clinical Efficacy and Neurobiological Impact With Acupuncture, 2.0

TypeinterventionalSponsorUniversity of CincinnatiRan2026 to 2031Enrolled120ConditionsSickle Cell Disease, Pain, Acupuncture, Quantitative Sensory TestingArmsneedling acupuncture, laser acupuncture
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

10 authors.

Brianna KishWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.ORCID https://orcid.org/0000-0001-5906-1295
Jinxia Fiona YaoWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Andrew John FrelsWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Jessica BuddeWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Vidhya Vijayakrishnan NairWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Andrew Q PuckaDepartment of Anesthesia, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.
Ziyue LiuIndiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, United States.
Andrew Rw O'BrienDivision of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN, United States.
Yunjie TongWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Ying WangDepartment of Anesthesia, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-4411-6366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickle cell disease (SCD) is a genetic blood disorder characterized by the production of abnormal hemoglobin known as hemoglobin S, which leads to reduced oxygen-carrying capacity of the blood. This reduced blood oxygenation can trigger cerebrovascular remodeling, leading to a higher risk of cerebrovascular disease and cognitive impairment. Despite growing evidence of the importance of cerebrovascular health in managing SCD, the lack of specific diagnostic tools makes this area an underutilized target in clinical care. In this cross-sectional study, we aimed to investigate the hemodynamic mechanisms of SCD through functional magnetic resonance imaging (fMRI) and their relationship with hematological parameters. In this pioneering study, we utilized the patterns of systemic low-frequency oscillations within the blood oxygen level-dependent fMRI signal to discern oxygen levels in the brain and characterize distinct blood flow patterns in patients with SCD. We formulated a unique model that revealed two blood flow patterns in SCD patients: firstly, an abnormal rapid flow pattern through arterio-venous shunting, where highly oxygenated blood reaches the superior sagittal sinus prematurely, circumventing most capillaries; secondly, a normal flow pattern, wherein normally oxygenated blood reaches the superior sagittal sinus after traversing through the capillaries. Our findings indicate that both flow patterns coexist in SCD patients, but in those with more severe blood abnormalities, the rapid flow pattern predominates. This study marks the first instance of employing fMRI to investigate the rich hemodynamic information in SCD patients. The results hold significant potential for the development of non-invasive hemodynamic biomarkers to gauge cerebrovascular health in SCD.

Indexed as

arteriovenous shuntingfMRIhemodynamicssickle cell disease

Identifiers

PMID40800810
PMCPMC12319992

What OpenQuestion holds

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Registered trials

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.