Publications by authors named "G M McKHANN"

Human brain tissue studies have used a range of metrics to assess RNA quality but there are few large-scale cross-comparisons of presequencing quality metrics with RNA-seq quality. We analyzed how postmortem interval (PMI) and RNA integrity number (RIN) before RNA-seq relate to RNA quality after sequencing (percent of counts in top 10 genes [PTT], 5' bias, and 3' bias), and with individual gene counts across the transcriptome. We analyzed 4 human cerebrocortical tissue sets (1 surgical, 3 autopsy), sequenced with varying protocols.

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Tumor associated epilepsy is a common and debilitating co-morbidity of brain tumors, for which inadequate treatments are available. Additionally, animal models suggest a potential link between seizures and tumor progression. Our group has previously described a mouse model of diffusely infiltrating glioma and associated chronic epilepsy.

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Up to 80% of the world's population with epilepsy lives in low and middle-income countries. Around one-third of these patients will have drug-resistant epilepsy, for which epilepsy surgery is an option. Unfortunately, many of these regions, as well as some more developed nations, lack sufficient epilepsy surgery units and trained neurosurgeons.

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Objective: Several case series have investigated the use of laser interstitial thermal therapy (LITT) to treat cavernous malformations (CMs), for either seizure control or reduction of neurological symptoms and future hemorrhage risk. However, pooled outcomes are largely unknown. The authors aimed to quantify posttreatment seizure freedom, symptomatic progression or hemorrhage, perioperative complications, and imaging outcomes from the available literature.

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Human brain tissue studies have historically used a range of metrics to assess RNA quality. However, few large-scale cross-comparisons of pre-sequencing quality metrics with RNA-seq quality have been published. Here, we analyze how well metrics gathered before RNA sequencing (post-mortem interval (PMI) and RNA integrity number RIN) relate to analyses of RNA quality after sequencing (Percent of counts in Top Ten genes (PTT), 5' bias, and 3' bias) as well as with individual gene counts across the transcriptome.

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