Peripheral blood gene expression signatures associated with epilepsy and its etiologic classification.

Heterogeneity in epilepsy often interferes with its diagnosis as well as treatment. To examine this heterogeneity at transcriptomic level, we performed whole-genome mRNA expression profiling in whole blood samples from 34 patients with epilepsy (PWE) (idiopathic, n = 13; cryptogenic, n = 9; and symptomatic, n = 12) and 41 healthy controls (HC) using Illumina HT-12 Expression Beadchip v4 microarray. In silico analysis using R software identified 165 genes to be significantly differentially expressed in PWE compared to HC (fold change>1.3, p < 0.05). Hierarchical clustering of resultant DEGs segregated idiopathic epilepsy from the rest of the epilepsy classes as well as HC. The class also displayed the most differential expression pattern with the highest number of DEGs among the three epilepsy classes. Gene ontology analysis revealed several biologically relevant inflammatory and other immune-related pathways. Our study provides insight into the relevance of altered blood gene expression patterns in understanding epilepsy and its etiologic classes.

Genetic Landscape of Common Epilepsies: Advancing towards Precision in Treatment.

Epilepsy, a neurological disease characterized by recurrent seizures, is highly heterogeneous in nature. Based on the prevalence, epilepsy is classified into two types: common and rare epilepsies. Common epilepsies affecting nearly 95% people with epilepsy, comprise generalized epilepsy which encompass idiopathic generalized epilepsy like childhood absence epilepsy, juvenile myoclonic epilepsy, juvenile absence epilepsy and epilepsy with generalized tonic-clonic seizure on awakening and focal epilepsy like temporal lobe epilepsy and cryptogenic focal epilepsy. In 70% of the epilepsy cases, genetic factors are responsible either as single genetic variant in rare epilepsies or multiple genetic variants acting along with different environmental factors as in common epilepsies. Genetic testing and precision treatment have been developed for a few rare epilepsies and is lacking for common epilepsies due to their complex nature of inheritance. Precision medicine for common epilepsies require a panoramic approach that incorporates polygenic background and other non-genetic factors like microbiome, diet, age at disease onset, optimal time for treatment and other lifestyle factors which influence seizure threshold. This review aims to comprehensively present a state-of-art review of all the genes and their genetic variants that are associated with all common epilepsy subtypes. It also encompasses the basis of these genes in the epileptogenesis. Here, we discussed the current status of the common epilepsy genetics and address the clinical application so far on evidence-based markers in prognosis, diagnosis, and treatment management. In addition, we assessed the diagnostic predictability of a few genetic markers used for disease risk prediction in individuals. A combination of deeper endo-phenotyping including pharmaco-response data, electro-clinical imaging, and other clinical measurements along with genetics may be used to diagnose common epilepsies and this marks a step ahead in precision medicine in common epilepsies management.

Clinical predictors of treatment outcome in North Indian patients on antiepileptic drug therapy: A prospective observational study.

BACKGROUND: Nearly 40%-50% of the individuals fail to respond to first line antiepileptic drug (AED) monotherapy and 30% are refractory, which calls for the need to recognize predictive markers for treatment failure. This study aims to identify clinical factors predictive of a poor prognosis in patients on AED therapy. MATERIALS AND METHODS: A prospective follow-up study involving 1056 patients with epilepsy (PWE) aged 5-67 years from North India on phenytoin (PHT, n = 247), carbamazepine (CBZ, n = 369), valproate (VA, n = 271), phenobarbital (PB, n = 50), and multitherapy (MultiT, n = 119) was conducted between 2005 and 2015. Seizure and epilepsy types were diagnosed based on the classifications by the International League Against Epilepsy (ILAE). Patients remaining seizure-free during the past 1 year were assigned to the "no seizure" group and patients experiencing seizure recurrence were assigned to the "recurrent seizures" group. RESULTS: Of the total, 786 (74.4%) patients were successfully followed up with 60% achieving 1-year seizure remission. Seizure recurrence was observed in the remaining 40% of the patients with a high likelihood in patients with the disease onset at ≤5 years of age [55% vs. 38%, P = 0.0016, odds ratio (OR) = 2.02 (95% confidence interval (CI) = 1.31-3.13)], in patients with cryptogenic epilepsy than with idiopathic/symptomatic epilepsy (48% vs. 32%, P = 0.0049, OR = 1.61 [95% CI = 1.16-2.24]), and in patients with pretreatment seizure frequency ≥12/year (46% vs. 27%, P < 0.0001, OR = 2.21 [95% CI = 1.61-3.05]). Logistic regression analysis also revealed a significant association of seizure recurrence (P < 0.05) with the three variables. CONCLUSION: Our findings suggest that an early disease onset, cryptogenic epilepsy, and a higher pretreatment seizure frequency are related to a poor prognosis or poor remission in people with epilepsy (PWE) on AED therapy.

Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population.

BACKGROUND: Alzheimer disease (AD) is a progressive neurodegenerative disease with a complex multifactorial etiology. Here, we aim to identify a biomarker pool comprised of genetic variants and blood biomarkers as predictor of AD risk. METHODS: We performed a case-control study involving 108 cases and 159 non-demented healthy controls to examine the association of multiple biomarkers with AD risk. RESULTS: The APOE genotyping revealed that ε4 allele frequency was significantly high (p value = 0.0001, OR = 2.66, 95% CI 1.58-4.46) in AD as compared to controls, whereas ε2 (p = 0.0430, OR = 0.29, CI 0.07-1.10) was overrepresented in controls. In biochemical assays, significant differences in levels of total copper, free copper, zinc, copper/zinc ratio, iron, epidermal growth factor receptor (EGFR), leptin, and albumin were also observed. The AD risk score (ADRS) as a linear combination of 6 candidate markers involving age, education status, APOE ε4 allele, levels of iron, Cu/Zn ratio, and EGFR was created using stepwise linear discriminant analysis. The area under the ROC curve of the ADRS panel for predicting AD risk was significantly high (AUC = 0.84, p < 0.0001, 95% CI 0.78-0.89, sensitivity = 70.0%, specificity = 83.8%) compared to individual parameters. CONCLUSION: These findings support the multifactorial etiology of AD and demonstrate the ability of a panel involving 6 biomarkers to discriminate AD cases from non-demented healthy controls.

Role of Iron and Copper in the Pathogenesis of Parkinson's Disease.

Parkinson's disease (PD) is an old age disorder of basal ganglia which involves oligomerization of α-synuclein protein and formation of intercellular inclusions known as "Lewy bodies" in substantia nigra and caudate nuclei in brain which is progressive in nature. It is second most prevalent neurodegenerative disorder characterized by tremor at rest, muscle rigidity, slowness of movement (bradykinesia, akinesia), and changes in posture (instability). Both excess and deficiency in levels of transition metals (especially iron, copper) can be detrimental to the central nervous system. Abnormalities in iron (Fe) and copper (Cu) metabolism have been reported to produce oxidative stress which is one of the major cause in pathogenesis of PD. In the present study 35 PD patients and 33 controls of Northern Indian population were included and serum levels of Fe, Cu and ceruloplasmin (Cp) were measured. Serum Fe (p < 0.01) and Cu (p < 0.01) levels were found to be significantly decreased in PD, whereas there was no significant change in Cp levels in PD patients as compared to controls. These results suggest the existence of a defect in iron which over the time, may hasten the entry of iron into the brain and decrease iron in the extracellular compartment in PD patients.

Critical appraisal of serum phenytoin variation with patient characteristics in a North Indian population.

CONTEXT: Phenytoin (PHT) is one of the frontrunner drugs used as monotherapy in the management of epilepsy. It is also one of the most common drugs causing adverse drug reactions (ADRs). The aim of this study was to study the relationship between serum PHT levels and the age, gender, dosage and genetic polymorphisms in a North Indian population. This knowledge will help in devising drug dosage schedules in various sub-groups of patients as well as in reducing its ADRs. MATERIALS AND METHODS: A retrospective analysis of data of 6224 patients from 1998 to 2009 receiving PHT alone for greater than (>) 4 weeks was performed. Patients suspected of being non-compliant, being overdosed or having a hepatic or renal disorder were excluded from the study. Two thousand eight hundred and eighty-eight patients fulfilling the inclusion criteria were divided into three groups: children (1-18 years), adults (19-60 years) and elderly (>60 years). RESULTS: There was a male preponderance (80%) in all the groups. A significant difference was found in the mean dose between children and adults as well as between children and elderly (P = 0.00). Also, there was a significant difference in the mean concentration and dose ratio between children and adults (P = 0.00). However, a negative correlation was observed between the daily dose and dose ratio (r = -0.36, P = 0.00) that was highest (r = -0.58, P = 0.00) in the elderly. There was a significant gender difference in the mean dose in both children (P = 0.03) and adults (P = 0.00), whereas the mean concentration differed in adults only. Every fifth patient was an intermediate metabolizer (IM) (CYP2C9FNx011/FNx013) and showed higher steady state drug levels (>17 mg/L) compared with extensive metabolizers (EMs) (<12 mg/L). The genetic difference between IM and EM was more prevalent in the dose ratio at maintenance dose, with a mean ± SD of 4.041 ± 1.288 mg/L/mg/kg in nine patients carrying the CYP2C9FNx011/FNx013 genotype compared with 2.145 ± 0.817 mg/L/mg/kg in 26 patients carrying the CYP2C9FNx011/FNx011 genotype (P = 0.00). CONCLUSION: North Indian female children and male adults frequently attain a higher serum concentration with the same dose when compared to the other groups. Absence of poor metabolizers may be responsible for a lower number of cases exhibiting toxicity in our population; however, this needs elucidation in a larger number of patients.

Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease.

BACKGROUND: Alzheimer's disease (AD) is one of the leading genetically complex and heterogeneous disorder that is influenced by both genetic and environmental factors. The underlying risk factors remain largely unclear for this heterogeneous disorder. In recent years, high throughput methodologies, such as genome-wide linkage analysis (GWL), genome-wide association (GWA) studies, and genome-wide expression profiling (GWE), have led to the identification of several candidate genes associated with AD. However, due to lack of consistency within their findings, an integrative approach is warranted. Here, we have designed a rank based gene prioritization approach involving convergent analysis of multi-dimensional data and protein-protein interaction (PPI) network modelling. RESULTS: Our approach employs integration of three different AD datasets- GWL,GWA and GWE to identify overlapping candidate genes ranked using a novel cumulative rank score (SR) based method followed by prioritization using clusters derived from PPI network. SR for each gene is calculated by addition of rank assigned to individual gene based on either p value or score in three datasets. This analysis yielded 108 plausible AD genes. Network modelling by creating PPI using proteins encoded by these genes and their direct interactors resulted in a layered network of 640 proteins. Clustering of these proteins further helped us in identifying 6 significant clusters with 7 proteins (EGFR, ACTB, CDC2, IRAK1, APOE, ABCA1 and AMPH) forming the central hub nodes. Functional annotation of 108 genes revealed their role in several biological activities such as neurogenesis, regulation of MAP kinase activity, response to calcium ion, endocytosis paralleling the AD specific attributes. Finally, 3 potential biochemical biomarkers were found from the overlap of 108 AD proteins with proteins from CSF and plasma proteome. EGFR and ACTB were found to be the two most significant AD risk genes. CONCLUSIONS: With the assumption that common genetic signals obtained from different methodological platforms might serve as robust AD risk markers than candidates identified using single dimension approach, here we demonstrated an integrated genomic convergence approach for disease candidate gene prioritization from heterogeneous data sources linked to AD.

Thrombolysis in recurrent stroke-beyond guidelines: a case report.

Intravenous (IV) thrombolysis is approved and proven treatment for acute ischemic stroke in the window period of 4.5 hours. The therapeutic benefit is not extended to many patients with prior stroke and recurrent stroke as they are excluded in the protocol for thrombolysis. We report a case of successful IV thrombolysis in a young patient with recent prior stroke and recurrent stroke. A 35-year-old male presented in our emergency with recurrent stroke had a history of acute onset vertigo, headache, and vomiting. He was diagnosed to have posterior circulation stroke before 5 days on the basis of clinical history and neuroimaging. On the day of presentation to our hospital, he had developed new symptom of acute onset right hemiparesis with dysarthria. IV tissue plasminogen activator administered within 2 hours of onset of new symptoms resulted in significant improvement in spite of the recent prior stroke.

Understanding Psychosocial Functioning, Caregiver Burden, and Neuropalliative Care in Parkinson's Disease - A Mixed-Methods Study.

BACKGROUND: Despite advancements in treatment, patients with Parkinson's disease (PD) experience a range of symptoms that affect their quality of life. There is a need to integrate neuropalliative care into standard care. The aim of the study is to understand the psychosocial functioning in persons with PD and explore their caregivers' burden. METHODS: The study utilizes a mixed-methods design where 50 patient-caregiver dyads attending the outpatient services of the movement disorder clinic at a tertiary care hospital were measured on psychosocial functioning and caregiver burden and palliative care outcomes for a period of 6 months. Focus group discussions were conducted with 18 patient-caregiver dyads to understand the needs of palliative care. RESULTS: It was found that caregiver burden was positively correlated with palliative care outcomes scores of patients ( r = 0.586) and caregivers ( r = 0.675) and psychosocial functioning was positively correlated with palliative care outcomes of patients ( r = 0.708). The psychosocial functioning score was higher among female patients (indicating worse functioning) than males, and female caregivers experienced significantly higher caregiver burden. The qualitative findings reveal that there is a substantial gap in awareness about palliative care, lack of information, presence of stigmatizing beliefs, and lack of adequate accessibility to palliative facilities. CONCLUSION: The study lays the foundation for future PD neuropalliative care research, guiding interventions, and exploration of regional variations in PD experiences in India. There is a need to address caregiver burden in PD in India.

Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population.

PURPOSE: This study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in people with epilepsy (PWE). METHODS: Data was collected from 786 PWE at the Outpatient Department of Neurology, Institute of Human Behavior and Allied Sciences (IHBAS), New Delhi, India from 2005 to 2015. Patients were followed up at the 2nd, 4th, 8th, and 12th month over the span of 1 year for the drugs being administered and their dosage, the serum drug levels, the frequency of seizure control, drug efficacy, the adverse drug reactions (ADRs), and their compliance to ASMs. Several features, including demographic details, medical history, and auxiliary examinations electroencephalogram (EEG) or Computed Tomography (CT) were chosen to discern between patients with distinct remission outcomes. Remission outcomes were categorized into 'good responder (GR)' and 'poor responder (PR)' based on the number of seizures experienced by the patients over the study duration. Our dataset was utilized to train seven classical machine learning algorithms i.e Extreme Gradient Boost (XGB), K-Nearest Neighbor (KNN), Support Vector Classifier (SVC), Decision Tree (DT), Random Forest (RF), Naïve Bayes (NB) and Logistic Regression (LR) to construct classification models. RESULTS: Our research findings indicate that 1) among the seven algorithms examined, XGB and SVC demonstrated superior predictive performances of ASM treatment outcomes with an accuracy of 0.66 each and ROC-AUC scores of 0.67 (XGB) and 0.66 (SVC) in distinguishing between PR and GR patients. 2) The most influential factor in discerning PR to GR patients is a family history of seizures (no), education (literate) and multitherapy with Chi-square (χ2) values of 12.1539, 8.7232 and 13.620 respectively and odds ratio (OR) of 2.2671, 0.4467, and 1.9453 each. 3). Furthermore, our surrogate analysis revealed that the null hypothesis for both XGB and SVC was rejected at a 100 % confidence level, underscoring the significance of their predictive performance. These findings underscore the robustness and reliability of XGB and SVC in our predictive modelling framework. SIGNIFICANCE: Utilizing XG Boost and SVC-based machine learning classifier, we successfully forecasted the likelihood of a patient's response to ASM treatment, categorizing them as either PR or GR, post-completion of standard epilepsy examinations. The classifier's predictions were found to be statistically significant, suggesting their potential utility in improving treatment strategies, particularly in the personalized selection of ASM regimens for individual epilepsy patients.

Differential diagnosis of parkinsonian syndromes using F-18 fluorodeoxyglucose positron emission tomography.

INTRODUCTION: Positron emission tomography (PET) imaging with F-18 fluorodeoxyglucose (FDG) has been used to identify characteristic patterns of regional glucose metabolism in patients with idiopathic Parkinson's disease (IPD) and the atypical parkinsonian syndromes of progressive supranuclear palsy (PSP), multiple system atrophy (MSA), and corticobasal syndrome (CBS). We undertook this study to assess the utility of fluorodeoxyglucose-PET in the differential diagnosis of individual patients with clinical parkinsonism. "Visual" and "computer-supported" reading of the fluorodeoxyglucose-PET scans were used for image interpretation and compared with each other. METHODS: One hundred thirty-six parkinsonian patients were referred from movement disorder clinics in specialty neurology centers for the fluorodeoxyglucose-PET study. Imaging-based diagnosis was obtained by visual assessment of individual scans by a PET physician blinded to the clinical diagnosis and also by computer-assisted interpretation using statistical parametric mapping (SPM) analysis. The results were compared with a 2-year follow-up clinical assessment made by a movement disorder specialist. RESULTS: Concordance of visual evaluation of fluorodeoxyglucose-PET with clinical diagnosis was achieved in 91.7% of patients scanned, 97.6% IPD, 80% MSA, 76.6% PSP, and 100% CBS. Blinded computer assessment using SPM was concordant with the clinical diagnosis in 91% of cases evaluated (90.4% IPD, 80% MSA, 93.3% PSP, and 100% CBS). CONCLUSIONS: Fluorodeoxyglucose-PET performed at the time of initial referral for parkinsonism is useful for the differential diagnosis of IPD, PSP, MSA, and CBS. Computer-assisted methods can be used for objective evaluation especially when expert readers are not available.

Cryptococcal infection causing longitudinal extensive transverse myelitis in an immunocompetent individual: Case report and literature review.

Cryptococcal CNS infections in immunocompetent individuals are occasionally reported in literature. The spinal manifestations of cryptococcal CNS infections are epidural abscess, chronic arachnoiditis, intramedullary granuloma, myelitis and vasculitis. We report a rare case of CNS cryptococcal infection presenting as a longitudinal extensive transverse myelitis (LETM) in an immunocompetent male. This report highlights cryptococcus as an important etiology among infectious causes in acute LETM patients in-spite of the immunocompetent status of the patient and the utility of CRAG (cryptococcal antigen) for diagnosis in such patients. We also present a literature review of all reported cases of cryptococcal myelitis.

Autoimmune polyglandular syndrome type II presenting as subacute combined degeneration of spinal cord: a neuroendocrinology crossroad.

Introduction: Autoimmune polyglandular syndrome (APS) is a condition having multiple endocrine abnormalities. It is divided into three types depending on the involvement of various endocrinopathies. It is also associated with other systemic involvement. The basic pathophysiology of this syndrome revolves around autoimmunity.Case presentation: We discuss the case of a 50-year-old gentleman who presented to us in emergency with subacute onset progressive weakness of both lower limbs followed by upper limbs. On examination, patient was confused and disoriented. General examination findings include hypotension, pallor, facial puffiness and vitiligo. Neurological examination revealed spasticity and motor weakness in all four limbs with extensor planter response. Sensory examination during hospital course revealed posterior column involvement. Laboratory and radiological investigations confirmed subacute combined degeneration of spinal cord secondary to pernicious anaemia, Addison's disease and autoimmune thyroid disease. The final diagnosis of autoimmune polyglandular syndrome type II was made after fulfilment of the required criteria.Conclusion: Autoimmune polyglandular syndrome type II can rarely present to neurologist as subacute combined degeneration of spinal cord. This syndrome and its systemic association should be kept in mind in order to reach the final diagnosis.

Development of a Trigger Tool to Identify Adverse Events and Harm in a Neuropsychiatry Setting.

BACKGROUND OBJECTIVES: Adverse drug events (ADEs) present the greatest risk of harm to patients in hospitals, especially those receiving neuropsychiatric treatment. The objective of the present record-based study was to test the appropriateness of the neuropsychiatry trigger tool (NPTT) to identify and measure harm due to adverse events (AEs). METHODS: A total of 1324 clinical case notes of discharged patients from 2017 to 2018 with a hospital stay >24 hours to <70 days were examined. RESULTS: One hundred forty-four (10.88%) patients experienced 166 AEs. A total of 854 triggers (range, 1-12 triggers per patient) were identified in 296 (22.36%) and 39 (2.94%) patients presented with triggers at admission. The overall AE rate per 1000 patient days was 12.73 (intensive care unit, 21; inpatient department, 11.54). Triggers at admission were altered sensorium and abnormal behavior followed by headache, ataxia, and aspiration pneumonia. A small number of triggers accounted for most AEs (laxative, rising liver function test (LFT), hypokalemia, hyponatremia, health care-associated infections, intubation, abnormal behavior/sensorium, hepatic encephalopathy, antiemetics), although type of AE reported differed by level of care. Most AEs caused minor harm, and relatively fewer patients experienced temporary harm requiring intervention (110; 8.29%), permanent harm (45; 3.39%), harm requiring initial/prolonged hospitalization (10; 0.75%), interventions to sustain life (24; 1.81%), and death (109; 8%). The higher the number of AEs, the longer was the length of stay (average increased from 9.32 to 17.33 days). The NPTT identified 30 times more AEs compared with 5 AEs reported by voluntary method. Medication-related ADEs were found in 130 (90%) of 144 patients who experienced AEs. Antitubercular drugs caused most ameliorable AEs (visual disturbance, drug-induced vomiting, deranged LFT, constipation). Care is needed in attributing harm because some triggers (abnormal sensorium/behavior, intubation, headache/dizziness, laxatives) may overlap with neurological illnesses (cerebrovascular accident [CVA]/meningitis/stroke). If the triggers are identified early, harm/discomfort to the patients can be reduced. The NPTT can be used in patient safety improvement projects. Harm occurred in 296 (22.28%) patients (temporary, 120 [9%]; permanent, 178 [13%]). Adverse events prolonged hospital stay (14.29 days) compared with 9.32 days in patients without AEs. CONCLUSIONS: A higher number of triggers per patient (≥5), trigger nature (intubation, cardiac arrest/shock), or the presenting illness (CVA/neuroinfections/status epilepticus/prolonged seizures) were correlated with the highest harm, that is, death. Because some triggers (abnormal sensorium/behavior, headache/dizziness, laxatives, intubation) may overlap with neurological illness (CVA/meningitis/stroke), care is needed in attributing harm. The NPTT identified 30 times more AEs compared with 5 AEs reported by voluntary method. Antitubercular drugs caused ameliorable AEs (visual disturbance, drug-induced vomiting, deranged LFT, constipation) and, if identified early, can reduce harm/discomfort to the patients.

Osteo-Cutaneous Trophic Changes in Complex Regional Pain Syndrome and their Reversal with Steroids.

Background: Complex regional pain syndrome (CRPS) is a chronic pain condition characterized by autonomic and inflammatory features. There is paucity of data regarding sustained benefits of any treatment modality. We aimed to document the effect of steroids in CRPS on long-term basis. Materials and Methods: We came across five patients of CRPS in Out Patient clinics of super-speciality Institutes in North India. All five cases fulfilled the Budapest criteria for the diagnosis of CRPS. All of them received prednisolone and were prospectively followed up for 2 years. Treatment outcome was carefully recorded in all affected modalities. Results: All five cases were found to have excruciating neuropathic pain in defined regions along with cutaneous manifestations. Osseous changes in the form of surface erosion of underlying bones in four cases and marked marrow edema leading to considerable increase in bone thickness in one case were noted. All these features improved considerably following steroid therapy. Bone marrow edema and bone resorption showed improvement on serial imaging. Conclusion: Apart from pain relief, steroids therapy is capable of reversing the osteo-cutaneous autonomic changes of CRPS type I.

Genetics of Ataxias in Indian Population: A Collative Insight from a Common Genetic Screening Tool.

Cerebellar ataxias (CAs) represent a group of autosomal dominant and recessive neurodegenerative disorders affecting cerebellum with or without spinal cord. Overall, CAs have preponderance for tandem nucleotide repeat expansions as an etiological factor (10 TREs explain nearly 30-40% of ataxia cohort globally). The experience of 10 years of common genetic ataxia subtypes for ≈5600 patients' referrals (Pan-India) received at a single center is shared herein. Frequencies (in %, n) of SCA types and FRDA in the sample cohort are observed as follows: SCA12 (8.6%, 490); SCA2 (8.5%, 482); SCA1 (4.8%, 272); SCA3 (2%, 113); SCA7 (0.5%, 28); SCA6 (0.1%, 05); SCA17 (0.1%, 05), and FRDA (2.2%, 127). A significant amount of variability in TRE lengths at each locus is observed, we noted presence of biallelic expansion, co-occurrence of SCA-subtypes, and the presence of premutable normal alleles. The frequency of mutated GAA-FRDA allele in healthy controls is 1/158 (0.63%), thus an expected FRDA prevalence of 1:100 000 persons. The data of this study are relevant not only for clinical decision making but also for guidance in direction of genetic investigations, transancestral comparison of genotypes, and lastly provide insight for policy decision for the consideration of SCAs under rare disease category.

Systematic Review of Different Neuroimaging Correlates in Mild Cognitive Impairment and Alzheimer's Disease.

Alzheimer's disease (AD) is a heterogeneous progressive neurocognitive disorder. Although different neuroimaging modalities have been used for the identification of early diagnostic and prognostic factors of AD, there is no consolidated view of the findings from the literature. Here, we aim to provide a comprehensive account of different neural correlates of cognitive dysfunction via magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) (resting-state and task-related), positron emission tomography (PET) and magnetic resonance spectroscopy (MRS) modalities across the cognitive groups i.e., normal cognition, mild cognitive impairment (MCI), and AD. A total of 46 meta-analyses met the inclusion criteria, including relevance to MCI, and/or AD along with neuroimaging modality used with quantitative and/or functional data. Volumetric MRI identified early anatomical changes involving transentorhinal cortex, Brodmann area 28, followed by the hippocampus, which differentiated early AD from healthy subjects. A consistent pattern of disruption in the bilateral precuneus along with the medial temporal lobe and limbic system was observed in fMRI, while DTI substantiated the observed atrophic alterations in the corpus callosum among MCI and AD cases. Default mode network hypoconnectivity in bilateral precuneus (PCu)/posterior cingulate cortices (PCC) and hypometabolism/hypoperfusion in inferior parietal lobules and left PCC/PCu was evident. Molecular imaging revealed variable metabolite concentrations in PCC. In conclusion, the use of different neuroimaging modalities together may lead to identification of an early diagnostic and/or prognostic biomarker for AD.