Marcus Gunn Jaw-Winking Syndrome: A Comprehensive Review and Report of Four Novel Cases.

PURPOSE: To report 4 cases of Marcus Gunn jaw-winking synkinesis (MGJWS) in the absence of ptosis. METHODS: A retrospective review of patients with MGJWS and congenital ptosis was compiled from the public and private subspecialty adult and pediatric oculoplastic practices of the 2 senior authors (AAM, TGH). Clinical data collected on patients with MGJWS included visual acuity, stereopsis, ocular motility, side of jaw-wink, presence or absence of ptosis, levator function, clinical photographs and videos, and any management undertaken. RESULTS: A total of 848 cases of congenital ptosis were seen. Of these, there were 72 consecutive patients with MGJWS, of which 4 cases (5.6%) had no ptosis. One patient had bilateral MGJWS, with ptosis on one side only. The authors found the incidence of MGJWS in our study population to be 8.5% of all congenital ptosis cases. When the authors excluded syndromic, neurogenic, and myopathic causes of congenital ptosis, the incidence was 12.1%. In addition, the authors found a trend toward females with simple congenital ptosis and MGJWS being affected on the left side, however this was not statistically significant. CONCLUSIONS: The authors report the first case series of MGJWS in the absence of ptosis within the second largest series ever reported. These findings may help further our understanding of the etiology behind MGJWS.

Frontal glioblastoma multiforme may be biologically distinct from non-frontal and multilobar tumors.

Glioblastoma multiforme (GBM) is the most common primary brain tumor in adults and carries a grim prognosis. Lobar GBM, notably those localized to the frontal lobe, are generally more amenable to complete surgical resection, and may carry a better prognosis. The biology of differently localized GBM has been reported scarcely in terms of prognostic markers, including isocitrate dehydrogenase 1 (IDH1) mutation and O(6)-methylguanine-methyltransferase (MGMT) methylation. To our knowledge, there has been no evaluation in the literature of different proliferation indexes in different GBM locations in the brain. We performed a retrospective evaluation of our prospectively collected database to assess the rate of IDH1 positivity, MGMT methylation and Ki67 index for GBM located in the frontal lobes alone, lobar GBM in other supra-tentorial lobes and multilobar GBM. IDH1 mutated tumors were localized in the frontal lobes in 50.0%, whereas only 20.3% of IDH1 wild-type tumors were localized in the frontal lobe (p=0.006); MGMT methylated tumors were localized in the frontal lobe in 32.0% of the cases. Only 13.75% of the MGMT unmethylated tumors were localized to the frontal lobe (p=0.005); Tumors with higher Ki67 proliferation index were more likely to be localized in the frontal lobe (40.6% vs. 19.5%, p=0.019). This is the largest cohort of GBM assessed for these purposes in the literature. Frontal lobe GBMs may be intrinsically biologically distinct from GBM in other lobes and from multilobar tumors.

Intra-dance variation among waggle runs and the design of efficient protocols for honey bee dance decoding.

Noise is universal in information transfer. In animal communication, this presents a challenge not only for intended signal receivers, but also to biologists studying the system. In honey bees, a forager communicates to nestmates the location of an important resource via the waggle dance. This vibrational signal is composed of repeating units (waggle runs) that are then averaged by nestmates to derive a single vector. Manual dance decoding is a powerful tool for studying bee foraging ecology, although the process is time-consuming: a forager may repeat the waggle run 1- >100 times within a dance. It is impractical to decode all of these to obtain the vector; however, intra-dance waggle runs vary, so it is important to decode enough to obtain a good average. Here we examine the variation among waggle runs made by foraging bees to devise a method of dance decoding. The first and last waggle runs within a dance are significantly more variable than the middle run. There was no trend in variation for the middle waggle runs. We recommend that any four consecutive waggle runs, not including the first and last runs, may be decoded, and we show that this methodology is suitable by demonstrating the goodness-of-fit between the decoded vectors from our subsamples with the vectors from the entire dances.