Evidence map›Paper›PMID 42277539›Full record

ReviewCellular and molecular neurobiology2026

Application Mechanisms and Clinical Prospects of Brain-Computer Interface Technology in Radiation-Induced Brain Injury.

Ruijun Xu, Xueqian Huang, Zhanlin Chen, Hussein Ali Mohamed, Xuyu He, Feiyang Lu, Yusen Ou, Ge Li, Kunyi Zhang

Abstract readReview
In one paragraph

Review in Cellular and molecular neurobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. 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

9 authors.

Ruijun XuGuangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0009-0002-5395-7853
Xueqian HuangGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID http://orcid.org/0009-0005-2066-2989
Zhanlin ChenDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No.651 Dongfengdong Rd., Guangzhou, 510060, China.ORCID http://orcid.org/0009-0004-5514-1924
Hussein Ali MohamedDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0002-2601-0293
Xuyu HeDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0001-6879-2735
Feiyang LuGuangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Medical Research Institute, School of Medicine South China University of Technology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0009-0008-2956-0219
Yusen OuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0007-2573-5344
Ge LiGuangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China. lige@gdph.org.cn.ORCID http://orcid.org/0000-0001-9030-884X
Kunyi ZhangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No.651 Dongfengdong Rd., Guangzhou, 510060, China. zhangky@sysucc.org.cn.ORCID http://orcid.org/0009-0002-5931-9553

Funding

Excellence Initiative Project of the National Natural Science Foundation of China KY012026190Li Xin Traditional Chinese Medicine Research and Innovation Fund 2023-CCA-TCM-033Natural Science Foundation of Guangdong Province 2024A1515011451the Guangdong Basic and Applied Basic Research Foundation 2023A1515030073the Guangzhou Science and Technology Plan Project 2025A04J4740the National Natural Science Foundation of China 82271395the Science and Technology Development Fund of Macau 0011/2025/RIA1the Special Project of Dengfeng Program of Guangdong Provincial People's Hospital KY0120220133 and DFJHBF202111Wohua Research Fund BYPDF2411213
6 · The paper itself

Abstract

Radiation-induced brain injury (RIBI) is a common complication of radiotherapy that leads to neurological symptoms, significantly impairing patients' daily functioning and long-term rehabilitation. Consequently, the development of effective therapeutic strategies has received considerable attention. As an emerging approach in the management of neurological disorders, brain-computer interface (BCI) technology shows substantial potential for both the assessment and treatment of RIBI. This review synthesizes evidence retrieved from electronic databases and examines RIBI from the perspectives of its mechanisms and clinical manifestations. Current findings suggest that BCI technology holds promise for several applications in RIBI, including early diagnosis, mitigation of neuroinflammation, alleviation of associated symptoms, and prediction and management of complications. The implementation of BCI is likely to play a significant role in early assessment and treatment processes for RIBI. Furthermore, with ongoing technological advancements, the development of next-generation BCI is expected to enable more targeted treatment that address additional pathological mechanisms of RIBI, thereby progressively improving the quality of life for affected patients.

Indexed as

Brain-Computer InterfacesBrain InjuriesRadiation InjuriesAnimalsHumansBrain–computer interfacesCognitive impairmentNeural decodingNeuroinflammationRadiation-induced brain injury

Identifiers

PMID42277539
PMCPMC13481964

What OpenQuestion holds

Textmetadata
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.