Synaptic dysfunction is a core deficit in Alzheimer's disease, preceding hallmark pathological abnormalities. Resting-state magnetoencephalography (MEG) was used to assess whether functional connectivity patterns, as an index of synaptic dysfunction, are associated with CSF biomarkers [i.e., phospho-tau (p-tau) and amyloid beta (A␤42) levels]. We studied 12 human subjects diagnosed with mild cognitive impairment due to Alzheimer's disease, comparing those with normal and abnormal CSF levels of the biomarkers. We also evaluated the association between aberrant functional connections and structural connectivity abnormalities, measured with diffusion tensor imaging, as well as the convergent impact of cognitive deficits and CSF variables on network disorganization. One-third of the patients converted to Alzheimer's disease during a follow-up period of 2.5 years. Patients with abnomal CSF p-tau and A␤42 levels exhibited both reduced and increased functional connectivity affecting limbic structures such as the anterior/posterior cingulate cortex, orbitofrontal cortex, and medial temporal areas in different frequency bands. A reduction in posterior cingulate functional connectivity mediated by p-tau was associated with impaired axonal integrity of the hippocampal cingulum. We noted that several connectivity abnormalities were predicted by CSF biomarkers and cognitive scores. These preliminary results indicate that CSF markers of amyloid deposition and neuronal injury in early Alzheimer's disease associate with a dual pattern of cortical network disruption, affecting key regions of the default mode network and the temporal cortex. MEG is useful to detect early synaptic dysfunction associated with Alzheimer's disease brain pathology in terms of functional network organization.

Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in:Neuroradiology 58.5 (2016) In an adjusted model, baseline CTA-SI-ASPECTS was inversely related to the odds of futile recanalization (OR 0.5; 95 % CI 0.3-0.7), whereas NCCT-ASPECTS was not (OR 0.8; 95 % CI 0.5-1.2). A score ≤5 in CTA-SIASPECTS was the best cut-off to predict futile recanalization (sensitivity 35 %; specificity 97 %; positive predictive value 86 %; negative predictive value 77 %).Conclusions CTA-SI-ASPECTS strongly predicts futile recanalization and could be a valuable tool for treatment decisions regarding the indication of revascularization therapies.Keywords Ischemic stroke . CT-angiography . IntroductionEarly recanalization of the occluded vessel is crucial in improving the prognosis of acute ischemic stroke. However, despite achieving successful and prompt . However, the usefulness of this score for treatment decisions has been debated as it has modest inter-rater reliability, and the majority of recent trials of MT excluded patients with poorer baseline ASPECTS score [6]. ASPECTS on CT angiography source images (CTA-SIASPECTS) has been shown to be a more accurate predictor of outcome and final infarct volume in acute ischemic stroke [7,8]. CTA is recommended for the assessment of site of occlusion and vessel anatomy of acute stroke patients who are potential candidates for endovascular treatment [9], CTA data being available in the majority of these patients during their initial evaluation. The aim of this study is to assess whether baseline CTA-SI-ASPECTS might help predict response to treatment and can reliably predict futile recanalization in patients undergoing reperfusion therapies; the intention being to find a reliable tool for treatment decision making.

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