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Another highlight is the advice on differential diagnosis between different manifestations of small vessel disease and other pathologies (Figure 2). The report is strongly recommended and should be widely used. Figure 2 Characteristics of SVD-related MR imaging findings: illustrative examples (upper panel) and schematic representation (middle panel) of MR features of different SVD-related changes on typical scans are shown together with a summary of imaging characteristics ... Conclusions Brain imaging is essential for the understanding of small vessel disease in the brain. Several recent advances have been made that change many previous concepts of small vessel disease. Much current research converge on identifying the full spectrum of small vessel disease imaging findings in KD025 in vivo individuals, and relate findings to prognostic features of stroke and other vascular events, disability and participation, cognition, and survival. The application of these tools and findings on large-scale studies on interventions and novel therapies is eagerly awaited.""Dear Sir: Stroke accounts for nearly 5.7 million GSK2879552 deaths worldwide; 87% of these deaths occur in low- and middle-income countries.1,2 India is a tropical country with various seasons that may influence stroke occurrence.3 The mechanisms underlying these seasonal variations of stroke are not fully understood, but a possible reason may include seasonal variation of biological factors such as arterial blood pressure, serum lipid levels, and other blood components.4,5 This study aimed to determine if there is any evidence of seasonal variation in the occurrence of various subtypes of strokes in North India. Data were collected from patients GUCY1B3 with a first-ever stroke who were admitted to the neurology ward of a tertiary care hospital in North India from January 2009 to April 2014. The diagnosis of ischemic stroke (IS) or intracerebral hemorrhage (ICH) was confirmed by neurologic examination and neuroimaging. We excluded secondary ICH, i.e., subarachnoid hemorrhage, arteriovenous malformation, and venous stroke. The collected data were patient name, age, sex, date, month, and year of stroke onset, type of stroke, hospital registration number, date of admission, and record of arterial blood pressure at the time of admission. Seasons were categorized into four categories: spring (March to May), summer (June to August), autumn (September to November), and winter (December to February). Statistical analysis was performed using Statistical Package for Social Science (SPSS) version 17 software. Frequency, mean and standard deviation (SD) values were determined for stroke type, age, and seasonal occurrence of stroke. The seasonal occurrence of stroke was evaluated with the chi-square test and Student's t test, with the level of significance set at P