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*

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

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

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

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

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

OBJECTIVETo investigate the effect of ketogenic diet (KD) on the clinical and electroencephalogram features in children with pharmacoresistant epileptic encephalopathy.

METHODThirty-one children (19 boys, 12 girls) aged 7 months to 7 years (mean 2 years 5 month) with epilepsy refractory to conventional antiepileptic drugs (AEDs) were included in this study. In addition to their original AED treatment, the children were assigned to different ketogenic diets based on their age. The prospective electro-clinical assessment was performed prior to the KD and then one week, one month and again 3 months after the initiation of therapy, respectively.

RESULTThe reduction of seizure frequency in 52%, 68% and 71% of all patients exceeded 50% one week, one month and three months after KD treatment respectively. KD is particularly effective in myoclonic astatic epilepsy (MAE; Doose Syndrome) and West syndrome with 100% and 81.25% of the patients having a greater than 50% seizure reduction, respectively. After 3 months of KD treatment, more than 2/3 patients experienced a reduction in interictal epileptiform discharges (IEDs) and improvement in EEG background.

CONCLUSIONThe clinical and electroencephalographic improvement confirms that KD is beneficial in children with refractory epilepsy.

Anticonvulsants ; therapeutic use ; Brain ; diagnostic imaging ; physiopathology ; Child ; Child, Preschool ; Diet, Ketogenic ; methods ; Dietary Fats ; administration & dosage ; Electroencephalography ; Epilepsy ; diagnosis ; diet therapy ; drug therapy ; Female ; Humans ; Infant ; Intellectual Disability ; diet therapy ; drug therapy ; Lennox Gastaut Syndrome ; Male ; Radiography ; Retrospective Studies ; Spasms, Infantile ; diet therapy ; drug therapy ; Syndrome ; Time Factors ; Treatment Outcome

Anticonvulsants ; administration & dosage ; therapeutic use ; Brain ; diagnostic imaging ; physiopathology ; Child ; Child, Preschool ; Chromosome Deletion ; Chromosome Disorders ; diagnosis ; genetics ; Chromosomes, Human, Pair 20 ; genetics ; Electroencephalography ; Epilepsy ; diagnosis ; drug therapy ; genetics ; Epilepsy, Complex Partial ; diagnosis ; drug therapy ; genetics ; Humans ; Karyotyping ; Radiography ; Ring Chromosomes

OBJECTIVETo analyze the clinical and SLC2A1 gene mutation characteristics of glucose transporter type 1 deficiency syndrome.

METHODThe detailed clinical manifestations of six cases were recorded. The laboratory tests including EEG, MRI, blood chemistry, and lumbar puncture were performed. SLC2A1 gene mutations were analyzed by PCR, DNA sequencing and multiplex ligation-dependent probe amplification (MLPA).

RESULTPatient 1, 2 and 3 had classical clinical symptoms including infantile onset seizures, development delay. Patient 4, 5 and 6 had non-classical clinical symptoms including paroxysmal behavior disturbance, weakness, ataxia, lethargy, especially after fasting or exercise, without severe seizures. The plasma glucose levels were normal. The CSF glucose levels decreased in all the six cases, ranged from 1.10 mmol/L to 2.45 mmol/L, the mean level was 1.68 mmol/L. The CSF glucose/plasma glucose ratios decreased, ranged from 0.16 to 0.51, the mean ratio was 0.34. Four patients had normal EEG. Two patients had focal and diffuse epileptiform discharge, and one of them also had paroxysmal occipital or generalized high-amplitude slow waves during awake and sleep time. MRI abnormalities were found in three patients, patient 1 with mild brain atrophy, patient 3 with bilateral ventricle plump, and patient 4 with high signals in T2 in the frontal and occipital white matter, interpreted as hypomyelination. SLC2A1 gene mutations were found in six cases. Patient 1 has large scale deletion in exon 2. In patient 2 to 6, the mutations were c.741 G>A (E247K), 599delA, 761delA, c.1148 C>A (P383H), c.1198 C>T (R400C) respectively. Two patients were treated with ketogenic diet. The seizures disappeared and development became normal. Three patients responded to frequent meals with snacks. One patient refused any treatments, the symptoms continued to exist.

CONCLUSIONThe clinical manifestations of glucose transporter type 1 deficiency syndrome are varied. The common symptoms included infantile onset seizures and various paroxysmal events. These neurologic symptoms generally fluctuated and were influenced by factors such as fasting or fatigue. This feature could be a very important clue for the diagnosis of GLUT1-DS. Lumbar puncture is recommended in patients with episodic CNS symptoms especially after fasting. GLUT1-DS is a treatable neurometabolic disorder, early diagnosis and treatment may improve the prognosis of the patients.

Biomarkers ; analysis ; Brain ; diagnostic imaging ; pathology ; Carbohydrate Metabolism, Inborn Errors ; diagnosis ; genetics ; therapy ; Child ; Child, Preschool ; DNA Mutational Analysis ; Diet, Ketogenic ; Electroencephalography ; Epilepsy ; diagnosis ; genetics ; therapy ; Female ; Follow-Up Studies ; Glucose Transporter Type 1 ; genetics ; Humans ; Infant ; Magnetic Resonance Imaging ; Male ; Monosaccharide Transport Proteins ; deficiency ; genetics ; Movement Disorders ; diagnosis ; genetics ; therapy ; Mutation ; genetics ; Radiography