Entropy model is widely used in epileptic electroencephalogram (EEG) analysis, but there are few reports on how to objectively select the parameters to compute the entropy model in the analysis of resting-state functional magnetic resonance imaging (rfMRI). Therefore, an optimization algorithm to confirm the parameters in multi-scale entropy (MSE) model was proposed, and the location of epileptogenic hemisphere was taken as an example to test the optimization effect by supervised machine learning. The rfMRI data of 20 temporal lobe epilepsy (TLE) patients with hippocampal sclerosis, positive on structural magnetic resonance imaging, were divided into left and right groups. Then, the parameters in MSE model were optimized by the receiver operating characteristic curves (ROC) and area under ROC curve (AUC) values in sensitivity analysis, and the entropy value of the brain regions with statistically significant difference between the groups were taken as sensitive features to epileptogenic hemisphere lateral. The optimized entropy values of these bio-marker brain areas were considered as feature vectors input into the support vector machine (SVM). Finally, combining optimized MSE model with SVM could accurately distinguish epileptogenic hemisphere in TLE at an average accuracy rate of 95%, which was higher than the current level. The results show that the MSE model parameter optimization algorithm can accurately extract the functional imaging markers sensitive to the epileptogenic hemisphere, and achieve the purpose of objectively selecting the parameters for MSE in rfMRI, which provides the basis for the application of entropy in advanced technology detection.
Brain/diagnostic imaging* ; Brain Mapping ; Entropy ; Epilepsy, Temporal Lobe/diagnostic imaging* ; Humans ; Magnetic Resonance Imaging

Epilepsy ; diagnostic imaging ; surgery ; Humans ; Magnetic Resonance Imaging ; Postoperative Complications ; etiology ; Preoperative Care

OBJECTIVES: Clinically, it has been found that some patients with epilepsy are accompanied by cerebellar atrophy that is inconsistent with symptoms, but the pattern of cerebellar atrophy after epilepsy and the role of cerebellar atrophy in the mechanism of epilepsy have not been elucidated. This study aims to explore the specific pattern of cerebellar atrophy after epilepsy via analyzing magnetic resonance images in patients with postepileptic cerebellar atrophy. METHODS: A total of 41 patients with epilepsy, who received the treatment in Xiangya Hospital of Central South University from January 2017 to January 2022 and underwent cranial MRI examination, were selected as the case group. The results of cranial MRI examination of all patients showed cerebellar atrophy. In the same period, 41 cases of physical examination were selected as the control group. General clinical data and cranial MRI results of the 2 groups were collected. The maximum area and signal of dentate nucleus, the maximum width of the brachium pontis, the maximum anterior-posterior diameter of the pontine, and the maximum transverse area of the fourth ventricle were compared between the 2 groups. The indexes with difference were further subjected to logistic regression analysis to clarify the characteristic imaging changes in patients with cerebellar atrophy after epilepsy. RESULTS: Compared with the control group, the maximum width of the brachium pontis and the maximum anterior-posterior diameter of the pontine were decreased significantly, the maximum transverse area of the fourth ventricle was increased significantly in the case group (all P<0.05). The difference in distribution of the low, equal, and high signal in dentate nucleus between the 2 groups was statistically significant (χ²=43.114, P<0.001), and the difference in the maximum area of dentate nucleus between the 2 groups was not significant (P>0.05). The maximum width of the brachium pontis [odds ratio (OR)=3.327, 95% CI 1.454 to 7.615, P=0.004] and the maximum transverse area of the fourth ventricle (OR=0.987, 95% CI 0.979 to 0.995, P=0.002) were independent factors that distinguished cerebellar atrophy after epilepsy from the normal control, while the anterior-posterior diameter of pontine (OR=1.456, 95% CI 0.906 to 2.339, P>0.05) was not an independent factor that distinguished them. CONCLUSIONS In MRI imaging, cerebellar atrophy after epilepsy is manifested as significant atrophy of the brachium pontis, significant enlargement of the fourth ventricle, and increased dentate nucleus signaling while insignificant dentate nucleus atrophy. This particular pattern may be associated with seizures and exacerbated pathological processes.
Humans ; Magnetic Resonance Imaging ; Pons ; Epilepsy/diagnostic imaging* ; Atrophy/pathology* ; Cerebellum/pathology*

Musculoskeletal injuries following seizures have a high morbidity and mortality. These injuries are often missed and the diagnosis is delayed due to a lack of clinical suspicion and appropriate investigations.We report a case of 72 years old male with simultaneous bilateral central acetabular fracture dislocation and bilateral posterior shoulder fracture dislocation secondary to an epileptic seizure. Present study high- lights the significance of clinical suspicion and clinico-radiological evaluation for diagnosis of a rare injury following episode of seizures. Simultaneous fracture dislocation of all four limbs treated with a holistic approach can lead to a good functional recovery. Surgical management with open reduction and internal fixation is preferred and replacement arthroplasty should be reserved for cases with implant failure and elderly patients.
Acetabulum ; injuries ; Aged ; Epilepsy ; complications ; Fracture Dislocation ; diagnostic imaging ; surgery ; Fractures, Bone ; surgery ; Humans ; Male ; Shoulder Fractures ; diagnostic imaging ; surgery

Epileptogenic zones can be localized by F-18 fluorodeoxyglucose positron emission tomography (FDG PET) and ictal single-photon emission computed tomography(SPECT). In medial temporal lobe epilepsy, the diagnostic sensitivity of FDG PET or ictal SPECT is excellent, however, the sensitivity of MRI is so high that the incremental sensitivity by FDG PET or ictal SPECT has yet to be proven. When MRI findings are ambiguous or normal, or discordant with those of ictal EEG, FDG PET and ictal SPECT are helpful for localization without the need for invasive ictal EEG. In neocortical epilepsy, the sensitivities of FDG PET or ictal SPECT are fair. However, because almost a half of the patients are normal on MRI, FDG PET and ictal SPECT are helpful for localization or at least for lateralization in these non-lesional epilepsies in order to guide the subdural insertion of electrodes. Interpretation of FDG PET has been recently advanced by voxel-based analysis and automatic volume of interest analysis based on a population template. Both analytical methods confirmed the performance of previous visual interpretation results. Ictal SPECT was analyzed using subtraction methods(coregistered to MRI) and voxel-based analysis. Rapidity of injection of tracers, HMPAO versus ECD, and repeated ictal SPECT, which remain the technical issues of ictal SPECT, are detailed.
Epilepsy/*radionuclide imaging ; Fludeoxyglucose F 18/diagnostic use ; Human ; Radiopharmaceuticals/diagnostic use ; *Tomography, Emission-Computed ; *Tomography, Emission-Computed, Single-Photon

Behcet's disease (BD) is an inflammatory systemic disorder with oral and genital ulcers, as well as ophthalmologic and cutaneous symptoms. Neurological manifestations in BD represent between 2.2% to 50% of the cases. The 25-year-old male patient, diagnosed with BD three years earlier, was admitted to our clinic with complaints of recurrent headaches. Tumor-like-parenchimal involvement was detected on a cranial magnetic resonance imaging. The lesion was removed surgically and then he suffered from right hemiparesis and epilepsy. Pathological examination of the lesion noted a demyelinating non-tumoural etiology. A neuro-Behget's case with parenchymal involvement has been examined in light of the literature, in terms of a tumor and a demyelinating disease differential diagnosis.
Demyelinating Diseases ; Diagnosis, Differential ; Diagnostic Errors ; Epilepsy ; Headache ; Humans ; Light ; Magnetic Resonance Imaging ; Male ; Neurologic Manifestations ; Paresis ; Ulcer

Background: Few studies have been published on new-onset geriatric epilepsy especially in older Chinese people. This study was to have a comprehensive understanding of new-onset geriatric epilepsy and find a more reasonable diagnosis and management of epilepsy in older people. Methods: One hundred and three patients with onset age 60 years and older were admitted between January 2008 and December 2016. Electronic medical records were reviewed to collect information. Results: There were 103 older patients with new-onset epilepsy. The mean age of the patients was 68.5 ± 6.4 years (range: 60-89 years), and there were 67 (65%) men and 36 (35%) women. The mean onset age was 67.9 ± 6.2 years (range: 60-89 years). The most common identifiable etiology of symptomatic seizures was autoimmune epilepsy in 43 (41.7%) patients. The second most common etiology was stroke in 15 (14.6%) patients. Seven (6.8%) older patients with acute seizures present with status epilepticus and 26 (25.2%) patients experienced clustered seizures (more than three events in 24 h) at seizure onset. Focal seizures (96.1%) were more common than generalized seizures (3.9%). Fifty-three (51.5%) patients had an abnormal brain magnetic resonance imaging (MRI) scan. Among them, video-electroencephalogram findings in 31 (30.1%) patients correlated with MRI abnormalities. Levetiracetam was the most used drugs before admission, in hospital, and during follow-up. Conclusions Autoimmune encephalitis is becoming an increasing risk factor of subsequent epilepsy in older people. Older patients with new epilepsy are more likely to respond to antiepileptic drugs, and drug-resistant epilepsy is uncommon.
Aged ; Aged, 80 and over ; Electroencephalography ; Epilepsy ; diagnostic imaging ; drug therapy ; etiology ; Female ; Follow-Up Studies ; Humans ; Levetiracetam ; therapeutic use ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Prognosis

Diffusion-tensor imaging (DTI) is a noninvasive medical imaging tool used to investigate the structure of white matter. The signal contrast in DTI is generated by differences in the Brownian motion of the water molecules in brain tissue. Postprocessed DTI scalars can be used to evaluate changes in the brain tissue caused by disease, disease progression, and treatment responses, which has led to an enormous amount of interest in DTI in clinical research. This review article provides insights into DTI scalars and the biological background of DTI as a relatively new neuroimaging modality. Further, it summarizes the clinical role of DTI in various disease processes such as amyotrophic lateral sclerosis, multiple sclerosis, Parkinson's disease, Alzheimer's dementia, epilepsy, ischemic stroke, stroke with motor or language impairment, traumatic brain injury, spinal cord injury, and depression. Valuable DTI postprocessing tools for clinical research are also introduced.
Amyotrophic Lateral Sclerosis ; Brain ; Brain Injuries ; Dementia ; Depression ; Diagnostic Imaging ; Disease Progression ; Epilepsy ; Multiple Sclerosis ; Nervous System Diseases* ; Neuroimaging ; Parkinson Disease ; Spinal Cord Injuries ; Stroke ; Water ; White Matter

OBJECTIVETo assess bone health in epileptic children who have been treated with carbamazepine (CBZ) or valproate (VPA) by using quantitative ultrasound (QUS) and determining the biochemical indices of bone metabolism, and to provide a proposal to improve quality of life of epileptic children.

METHODSNinety-two epileptic children who had been treated with CBZ or VPA for more than two years were evaluated for bone mineral density (BMD) at the mid-shaft tibia and the distal third of the radius. Biochemical indices of bone metabolism including urine deoxypyridinoline (DPD) and serum osteocalcin (OC), and daily calcium intake were also evaluated. Thirty-five age-matched healthy children were used as controls. Reduced BMD was defined as speed of sound (SOS) Z scores of the mid-shaft tibia and (or) the distal third of the radius less than -0.7.

RESULTSBMD was reduced in epileptic children significantly when compared to the controls (P < 0.05). In addition, a negative correlation was found between the duration of anti-epileptic drugs (AEDs) use and BMD (r(s) = -0.21 - -0.31, P < 0.05), the lowest BMD was observed in those who had been treated for the longest time. The serum values of OC in epileptic children were significantly reduced relative to the controls (P < 0.01), children who took VPA had the lowest value of OC. However, the urine values of DPD showed no significant difference between epileptic and healthy children (P > 0.05); children who took CBZ had the highest value of DPD. Thirty-two epileptic children (35%) and five (14%) sex- and age-matched healthy children had reduced BMD, significant difference was found between them (P < 0.05). Moreover, epileptic children with reduced BMD seemed to have higher body mass index (BMI) (P < 0.05), take less daily calcium intake (P < 0.01), and had longer duration of AEDs (P < 0.01). The two risk factors of having reduced BMD in epileptic children were those who had been treated with AEDs for more than five years and higher BMI, while the protective factor was daily calcium intake.

CONCLUSIONSLong-term use of CBZ or VPA is associated with bone metabolism abnormalities, which include reduced BMD and decreased bone turnover (mainly decreased bone formation). Long-term anti-epileptic therapy is an important factor for impaired bone health in epileptic children, and that low calcium intake and high BMI could be two aggravating factors. QUS is a useful method to evaluate BMD of epileptic children who are on long-term anti-epileptic therapy, and to recognize the status of bone health, in helping to promote bone health and improve quality of life in epileptic children by the use of calcium and vitamin D supplementation.

Amino Acids ; urine ; Anticonvulsants ; adverse effects ; therapeutic use ; Bone Density ; drug effects ; Bone and Bones ; diagnostic imaging ; drug effects ; metabolism ; Calcium, Dietary ; analysis ; Carbamazepine ; adverse effects ; therapeutic use ; Child ; Epilepsy ; drug therapy ; Female ; Humans ; Male ; Osteocalcin ; blood ; Radius ; diagnostic imaging ; Tibia ; diagnostic imaging ; Ultrasonography ; Valproic Acid ; adverse effects ; therapeutic use

To optimize the monitoring time of interictal epileptiform discharges (IED) in patients with epilepsy by long-term video electroencephalogram (VEEG).The cumulative percentages of IED detected by VEEG in 346 epilepsy patients (349 times) with different purposes, different waking sleep states and different MRI findings were retrospectively analyzed. According to the purposes, there were 164 patients (165 times) for clarifying diagnosis, 124 patients (124 times) for preoperative evaluation and 58 patients (60 times) for adjustment of medications. According to MRI results, there were responsible lesions in 98 patients (98 times) and no responsible lesions in 173 patients (174 times).Among 346 patients (349 times), IED was detected within 24 h in 231 patients (times). The percentage of detection in patients with purpose of preoperative evaluation was higher than those with purpose of diagnosis and medication adjustment. The detection of LED was gradually increased in first 8 h with 59.0%, then stably in 24 h. 46.8% IED was recorded during sleep time, particularly in the second stage of sleep. The cumulative percentage of IED in patients with abnormal MRI findings was higher in all periods. It reached 83.7% within 8 h, and then tended to be stable.The study shows that LED should be monitored by VEEG at least 8 hours and should include the second stage of sleep in patients with epilepsy. Patients with refractory epilepsy and with abnormal lesions on MRI should record IED more frequently.
Brain ; diagnostic imaging ; pathology ; Brain Waves ; Electroencephalography ; methods ; statistics & numerical data ; Epilepsy ; pathology ; physiopathology ; Female ; Humans ; Magnetic Resonance Imaging ; statistics & numerical data ; Male ; Retrospective Studies ; Sleep ; physiology ; Time Factors