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相关论文: MEG-Derived Functional Tractography, Results for N…

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Tractography algorithms are used extensively to delineate white matter structures, by operating on the voxel-wise information generated through the application of diffusion tensor imaging (DTI) or other models to diffusion weighted (DW)…

定量方法 · 定量生物学 2024-03-05 Richard G. Carson , Alexander Leemans

The Federal Interagency Traumatic Brain Injury Research (FITBIR) database is a centralized data repository for traumatic brain injury (TBI) research. It includes over 45,529 magnetic resonance images (MRI) from 6,211 subjects (9,229 imaging…

Traumatic brain injury (TBI) is caused by a sudden trauma to the head that may result in hematomas and contusions and can lead to stroke or chronic disability. An accurate quantification of the lesion volumes and their locations is…

计算机视觉与模式识别 · 计算机科学 2018-07-31 Snehashis Roy , John A. Butman , Leighton Chan , Dzung L. Pham

Post-traumatic epilepsy (PTE) is a life-long complication of traumatic brain injury (TBI) and is a major public health problem that has an estimated incidence that ranges from 2%-50%, depending on the severity of the TBI. Currently, the…

定量方法 · 定量生物学 2020-11-17 Md Navid Akbar , Marianna La Rocca , Rachael Garner , Dominique Duncan , Deniz Erdoğmuş

Aim: This in silico study sought to identify specific biomarkers for mild traumatic brain injury (mTBI) through the analysis of publicly available gene and miRNA databases, hypothesizing their influence on neuronal structure, axonal…

基因组学 · 定量生物学 2025-05-02 Mahnaz Tajik , Michael D Noseworthy

Aperiodic activity is a physiologically distinct component of the electrophysiological power spectrum. It is suggested to reflect the balance of excitation and inhibition in the brain, within selected frequency bands. However, the impact of…

Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure. However, recent advances in…

图像与视频处理 · 电气工程与系统科学 2024-03-29 Tian Yu , Yunhe Li , Michael E. Kim , Chenyu Gao , Qi Yang , Leon Y. Cai , Susane M. Resnick , Lori L. Beason-Held , Daniel C. Moyer , Kurt G. Schilling , Bennett A. Landman

While EEG features differentiate Major Depressive Disorder (MDD) from healthy controls (HC), their clinical utility as biomarkers depends on a monotonic trajectory across the disease spectrum, from the acute (AC) phase to the maintenance…

神经元与认知 · 定量生物学 2026-03-05 Feng Yan , Xuteng Wang , Shuyu Yang , Yue Zhao , Xiaobin Wong , Zhiren Wang

To minimize functional morbidity associated with brain surgery, new preventive approaches (also referred to as "prehabilitation") by using motor-imagery-based computer interfaces (MI-BCIs) can be utilized. To achieve successful MI-BCI…

神经元与认知 · 定量生物学 2017-08-03 Milena Korostenskaja , Christoph Kapeller , Ki H Lee , Christoph Guger , James Baumgartner , Eduardo M. Castillo

Neocortical epilepsy surgery fails to achieve post-operative seizure freedom in 30-40% of cases. It is not fully understood why surgery in some patients is unsuccessful. Comparing interictal MEG bandpower from patients to normative maps,…

Magnetoencephalography (MEG) enables the study of brain activity by recording the magnetic fields generated by neural currents and has become an important technique for neuroscientists in research and clinical settings. Unlike the…

Most brain disorders are very heterogeneous in terms of their underlying biology and developing analysis methods to model such heterogeneity is a major challenge. A promising approach is to use probabilistic regression methods to estimate…

机器学习 · 统计学 2018-12-03 Seyed Mostafa Kia , Christian F. Beckmann , Andre F. Marquand

Neuroimaging measures of the brain's white matter connections can enable the prediction of non-imaging phenotypes, such as demographic and cognitive measures. Existing works have investigated traditional microstructure and connectivity…

计算机视觉与模式识别 · 计算机科学 2023-05-23 Wan Liu , Yuqian Chen , Chuyang Ye , Nikos Makris , Yogesh Rathi , Weidong Cai , Fan Zhang , Lauren J. O'Donnell

We characterize the amplitude statistics of intraoperative microelectrode recordings (MERs) obtained during deep brain stimulation (DBS) surgery in 46 patients with Parkinson's disease, using 184 recordings equally balanced between inside…

Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences between patients with mTBI and healthy controls with respect to…

图像与视频处理 · 电气工程与系统科学 2019-11-12 Tongda Xu , Xiyan Cai , Yao Wang , Xiuyuan Wang , Sohae Chung , Els Fieremans , Joseph Rath , Steven Flanagan , Yvonne W Lui

Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased groups) higher values in some brain regions called lateral…

Mild Traumatic Brain Injuries (mTBI) are caused by violent head motions or impacts. Most mTBI prevention strategies explicitly or implicitly rely on a "brain injury criterion". A brain injury criterion takes some descriptor of the head's…

医学物理 · 物理学 2022-01-19 Yang Wan , Alice Lux Fawzi , Haneesh Kesari

Motor imagery based brain-computer interfaces (MI-BCIs) allow the control of devices and communication by imagining different muscle movements. However, most studies have reported a problem of "BCI-illiteracy" that does not have enough…

神经元与认知 · 定量生物学 2020-02-21 Jae-Geun Yoon , Minji Lee

Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is…

神经元与认知 · 定量生物学 2014-10-31 J. H. Martínez , J. M. Pastor , P. Ariza , M. Zanin , D. Papo , F. Maestú , R. Bajo , S. Boccaletti , J. M. Buldú

Transcranial Magnetic Stimulation (TMS) combined with EEG recordings (TMS-EEG) has shown great potential in the study of the brain and in particular of Alzheimer's Disease (AD). In this study, we propose an automatic method of determining…