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1.
Int Rev Neurobiol ; 159: 23-45, 2021.
Article in English | MEDLINE | ID: mdl-34446248

ABSTRACT

The field of neuromodulation, at its essence, aims to apply electrical stimulation to the brain to ameliorate various pathology. Many methods of applying this stimulation exist, including invasive and non-invasive means. In the realm of invasive stimulation, stimulation of the cortex remains one of the earliest techniques investigated, yet one of the most underutilized today. Evidence for the efficacy of direct invasive cortical stimulation continues to mount, especially in recent years. In this chapter we will review the evidence for the use of invasive cortical stimulation as it applies to neuropathic pain, epilepsy, psychiatric disease, movement disorders, tinnitus, and post-stroke recovery, as well explore some potential mechanisms and future directions of the technique.


Subject(s)
Brain Diseases , Deep Brain Stimulation , Brain Diseases/physiopathology , Brain Diseases/therapy , Humans , Treatment Outcome
2.
Cancer Sci ; 112(7): 2835-2844, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33932065

ABSTRACT

This study aims to build a radiological model based on standard MR sequences for detecting methylguanine methyltransferase (MGMT) methylation in gliomas using texture analysis. A retrospective cross-sectional study was undertaken in a cohort of 53 glioma patients who underwent standard preoperative magnetic resonance (MR) imaging. Conventional visual radiographic features and clinical factors were compared between MGMT promoter methylated and unmethylated groups. Texture analysis extracted the top five most powerful texture features of MR images in each sequence quantitatively for detecting the MGMT promoter methylation status. The radiomic signature (Radscore) was generated by a linear combination of the five features and estimates in each sequence. The combined model based on each Radscore was established using multivariate logistic regression analysis. A receiver operating characteristic (ROC) curve, nomogram, calibration, and decision curve analysis (DCA) were used to evaluate the performance of the model. No significant differences were observed in any of the visual radiographic features or clinical factors between different MGMT methylated statuses. The top five most powerful features were selected from a total of 396 texture features of T1, contrast-enhanced T1, T2, and T2 FLAIR. Each sequence's Radscore can distinguish MGMT methylated status. A combined model based on Radscores showed differentiation between methylated MGMT and unmethylated MGMT both in the glioblastoma (GBM) dataset as well as the dataset for all other gliomas. The area under the ROC curve values for the combined model was 0.818, with 90.5% sensitivity and 72.7% specificity, in the GBM dataset, and 0.833, with 70.2% sensitivity and 90.6% specificity, in the overall gliomas dataset. Nomogram, calibration, and DCA also validated the performance of the combined model. The combined model based on texture features could be considered as a noninvasive imaging marker for detecting MGMT methylation status in glioma.


Subject(s)
Brain Neoplasms/diagnostic imaging , Brain Neoplasms/enzymology , DNA Modification Methylases/metabolism , DNA Repair Enzymes/metabolism , Glioma/diagnostic imaging , Glioma/enzymology , Tumor Suppressor Proteins/metabolism , Adult , Aged , Brain Neoplasms/pathology , Contrast Media , Cross-Sectional Studies , DNA Methylation , DNA Repair , Decision Support Techniques , Female , Glioblastoma/diagnostic imaging , Glioblastoma/enzymology , Glioblastoma/pathology , Glioma/pathology , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Nomograms , ROC Curve , Retrospective Studies , Sensitivity and Specificity , Young Adult
3.
J Neurosurg ; 135(1): 284-290, 2020 Aug 07.
Article in English | MEDLINE | ID: mdl-32764171

ABSTRACT

OBJECTIVE: The objective of this study was to investigate the correlation between the quantitative susceptibility mapping (QSM) signal gradient of the subthalamic nucleus (STN) and motor impairment in patients with Parkinson's disease (PD). METHODS: All PD patients who had undergone QSM MRI for presurgical deep brain stimulation (DBS) planning were eligible for inclusion in this study. The entire STN and its three functional subdivisions, as well as the adjacent white matter (WM), were segmented and measured. The QSM value difference between the entire STN and adjacent WM (STN-WM), between the limbic and associative regions of the STN (L-A), and between the associative and motor regions of the STN (A-M) were obtained as measures of gradient and were input into an unsupervised k-means clustering algorithm to automatically categorize the overall boundary distinctness between the STN and adjacent WM and between STN subdivisions (gradient blur [GB] and gradient sharp [GS] groups). Statistical tests were performed to compare clinical and image measurements for discrimination between GB and GS groups. RESULTS: Of the 39 study patients, 19 were categorized into the GB group and 20 into the GS group, based on quantitative cluster analysis. The GB group had a significantly higher presurgical off-medication Unified Parkinson's Disease Rating Scale Part III score (51.289 ± 20.741) than the GS group (38.5 ± 16.028; p = 0.037). The GB group had significantly higher QSM values for the STN and its three subdivisions and adjacent WM than those for the GS group (p < 0.01). The GB group also demonstrated a significantly higher STN-WM gradient in the right STN (p = 0.01). The GB group demonstrated a significantly lower L-A gradient in both the left and the right STN (p < 0.02). CONCLUSIONS: Advancing PD with more severe motor impairment leads to more iron deposition in the STN and adjacent WM, as shown in the QSM signal. Loss of the STN inner QSM signal gradient should be considered as an image marker for more severe motor impairment in PD patients.

4.
J Clin Neurosci ; 29: 111-6, 2016 Jul.
Article in English | MEDLINE | ID: mdl-27021223

ABSTRACT

Cross-specialty inter-rater reliability has not been explicitly reported for imaging characteristics that are thought to be important in lumbar intervertebral disc degeneration. Sufficient cross-specialty reliability is an essential consideration if radiographic stratification of symptomatic patients to specific treatment modalities is to ever be realized. Therefore the purpose of this study was to directly compare the assessment of such characteristics between neurosurgeons and neuroradiologists. Sixty consecutive patients with a diagnosis of lumbago and appropriate imaging were selected for inclusion. Lumbar MRI were evaluated using the Tufts Degenerative Disc Classification by two neurosurgeons and two neuroradiologists. Inter-rater reliability was assessed using Cohen's κ values both within and between specialties. A sensitivity analysis was performed for a modified grading system, which excluded high intensity zones (HIZ), due to poor cross-specialty inter-rater reliability of HIZ between specialties. The reliability of HIZ between neurosurgeons and neuroradiologists was fair in two of the four cross-specialty comparisons in this study (neurosurgeon 1 versus both radiologists κ=0.364 and κ=0.290). Removing HIZ from the classification improved inter-rater reliability for all comparisons within and between specialties (0.465⩽κ⩽0.576). In addition, intra-rater reliability remained in the moderate to substantial range (0.523⩽κ⩽0.649). Given our findings and corroboration with previous studies, identification of HIZ seems to have a markedly variable reliability. Thus we recommend modification of the original Tufts Degenerative Disc Classification by removing HIZ in order to make the overall grade provided by this classification more reproducible when scored by practitioners of different training backgrounds.


Subject(s)
Intervertebral Disc Degeneration/classification , Lumbar Vertebrae/diagnostic imaging , Neurosurgeons , Radiologists , Adult , Aged , Aged, 80 and over , Female , Humans , Intervertebral Disc Degeneration/diagnostic imaging , Intervertebral Disc Degeneration/surgery , Lumbar Vertebrae/surgery , Lumbosacral Region , Magnetic Resonance Imaging , Male , Middle Aged , Observer Variation , Young Adult
5.
J Clin Neurosci ; 22(2): 346-51, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25443079

ABSTRACT

The Pfirrmann and modified Pfirrmann grading systems are currently used to classify lumbar disc degeneration. These systems, however, do not incorporate variables that have been associated with lumbar disc degeneration, including Modic changes, a high intensity zone, and a significant reduction in disc height. A system that incorporates these variables that is easy to apply may be useful for research and clinical purposes. A grading system was developed that incorporates disc structure and brightness, presence or absence of Modic changes, presence or absence of a high intensity zone, and reduction in disc height (disc height less than 5mm). MRI of 300 lumbar discs in 60 patients were analyzed twice by two neurosurgeons. Intra and inter-observer reliabilities were assessed by calculating Cohen's κ values. There were 156 grade zero ("normal"), 50 grade one, 57 grade two, 26 grade three, 10 grade four, and one grade five ("worst") discs. Inter-observer reliability was substantial (κ = 0.66 to 0.77) for disc brightness/structure, Modic changes, and disc height. Inter-observer reliability was moderate (κ = 0.41) for high intensity zone. Intra-observer reliability was moderate to excellent (κ = 0.53 to 0.94) in all categories. Agreement on the total grade between reviewers occurred 71% of the time and a difference of one grade occurred in an additional 25% of cases. Lumbar disc degeneration can be graded reliably by this novel system. The advantage of this system is that it incorporates disc brightness/structure, Modic changes, high intensity zone, and a rigid definition of loss of disc height. This system might be useful in research studies evaluating disc degeneration. Further studies are required to demonstrate possible clinical utility in predicting outcomes after spinal treatments such as fusion.


Subject(s)
Intervertebral Disc Degeneration/classification , Adult , Female , Humans , Intervertebral Disc Degeneration/pathology , Lumbar Vertebrae , Magnetic Resonance Imaging , Observer Variation , Reproducibility of Results
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