753 research outputs found

    BNCI systems as a potential assistive technology: ethical issues and participatory research in the BrainAble project

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    This paper highlights aspects related to current research and thinking about ethical issues in relation to Brain Computer Interface (BCI) and Brain-Neuronal Computer Interfaces (BNCI) research through the experience of one particular project, BrainAble, which is exploring and developing the potential of these technologies to enable people with complex disabilities to control computers. It describes how ethical practice has been developed both within the multidisciplinary research team and with participants. Results: The paper presents findings in which participants shared their views of the project prototypes, of the potential of BCI/BNCI systems as an assistive technology, and of their other possible applications. This draws attention to the importance of ethical practice in projects where high expectations of technologies, and representations of “ideal types” of disabled users may reinforce stereotypes or drown out participant “voices”. Conclusions: Ethical frameworks for research and development in emergent areas such as BCI/BNCI systems should be based on broad notions of a “duty of care” while being sufficiently flexible that researchers can adapt project procedures according to participant needs. They need to be frequently revisited, not only in the light of experience, but also to ensure they reflect new research findings and ever more complex and powerful technologies

    Theory of Photon Blockade by an Optical Cavity with One Trapped Atom

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    In our recent paper [1], we reported observations of photon blockade by one atom strongly coupled to an optical cavity. In support of these measurements, here we provide an expanded discussion of the general phenomenology of photon blockade as well as of the theoretical model and results that were presented in Ref. [1]. We describe the general condition for photon blockade in terms of the transmission coefficients for photon number states. For the atom-cavity system of Ref. [1], we present the model Hamiltonian and examine the relationship of the eigenvalues to the predicted intensity correlation function. We explore the effect of different driving mechanisms on the photon statistics. We also present additional corrections to the model to describe cavity birefringence and ac-Stark shifts. [1] K. M. Birnbaum, A. Boca, R. Miller, A. D. Boozer, T. E. Northup, and H. J. Kimble, Nature 436, 87 (2005).Comment: 10 pages, 6 figure

    Patterns of progressive atrophy vary with age in Alzheimer's disease patients

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    Age is not only the greatest risk factor for Alzheimer's disease (AD) but also a key modifier of disease presentation and progression. Here, we investigate how longitudinal atrophy patterns vary with age in mild cognitive impairment (MCI) and AD. Data comprised serial longitudinal 1.5-T magnetic resonance imaging scans from 153 AD, 339 MCI, and 191 control subjects. Voxel-wise maps of longitudinal volume change were obtained and aligned across subjects. Local volume change was then modeled in terms of diagnostic group and an interaction between group and age, adjusted for total intracranial volume, white-matter hyperintensity volume, and apolipoprotein E genotype. Results were significant at p < 0.05 with family-wise error correction for multiple comparisons. An age-by-group interaction revealed that younger AD patients had significantly faster atrophy rates in the bilateral precuneus, parietal, and superior temporal lobes. These results suggest younger AD patients have predominantly posterior progressive atrophy, unexplained by white-matter hyperintensity, apolipoprotein E, or total intracranial volume. Clinical trials may benefit from adapting outcome measures for patient groups with lower average ages, to capture progressive atrophy in posterior cortices

    Fast cavity-enhanced atom detection with low noise and high fidelity

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    Cavity quantum electrodynamics describes the fundamental interactions between light and matter, and how they can be controlled by shaping the local environment. For example, optical microcavities allow high-efficiency detection and manipulation of single atoms. In this regime fluctuations of atom number are on the order of the mean number, which can lead to signal fluctuations in excess of the noise on the incident probe field. Conversely, we demonstrate that nonlinearities and multi-atom statistics can together serve to suppress the effects of atomic fluctuations when making local density measurements on clouds of cold atoms. We measure atom densities below 1 per cavity mode volume near the photon shot-noise limit. This is in direct contrast to previous experiments where fluctuations in atom number contribute significantly to the noise. Atom detection is shown to be fast and efficient, reaching fidelities in excess of 97% after 10 us and 99.9% after 30 us.Comment: 7 pages, 4 figures, 1 table; extensive changes to format and discussion according to referee comments; published in Nature Communications with open acces

    The statistical neuroanatomy of frontal networks in the macaque

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    We were interested in gaining insight into the functional properties of frontal networks based upon their anatomical inputs. We took a neuroinformatics approach, carrying out maximum likelihood hierarchical cluster analysis on 25 frontal cortical areas based upon their anatomical connections, with 68 input areas representing exterosensory, chemosensory, motor, limbic, and other frontal inputs. The analysis revealed a set of statistically robust clusters. We used these clusters to divide the frontal areas into 5 groups, including ventral-lateral, ventral-medial, dorsal-medial, dorsal-lateral, and caudal-orbital groups. Each of these groups was defined by a unique set of inputs. This organization provides insight into the differential roles of each group of areas and suggests a gradient by which orbital and ventral-medial areas may be responsible for decision-making processes based on emotion and primary reinforcers, and lateral frontal areas are more involved in integrating affective and rational information into a common framework

    Twelve weeks of protracted venous infusion of fluorouracil (5-FU) is as effective as 6 months of bolus 5-FU and folinic acid as adjuvant treatment in colorectal cancer.

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    We performed a multicentre randomised trial to compare the efficacy and toxicity of 12 weeks of 5-fluorouracil (5-FU) delivered by protracted intravenous infusion (PVI 5-FU) against the standard bolus regimen of 5-FU and folinic acid (5-FU/FA) given for 6 months as adjuvant treatment in colorectal cancer. A total of 716 patients with curatively resected Dukes' B or C colorectal cancer were randomised to 5-FU/FA (5-FU 425 mg m(-2) i.v. and FA 20 mg m(-2) i.v. bolus days 1-5 every 28 days for 6 months) or to PVI 5-FU alone (300 mg m(-2) day for 12 weeks). With a median follow-up of 19.8 months, 133 relapses and 77 deaths have been observed. Overall survival did not differ significantly (log rank P=0.764) between patients receiving 5-FU/FA and PVI 5-FU (3-year survival 83.2 vs 87.9%, respectively). Patients in the 5-FU/FA group had significantly worse relapse-free survival (RFS, log rank P=0.023) compared to those receiving PVI 5-FU (3-year RFS, 68.6 vs 80%, respectively). Grades 3-4 neutropenia, diarrhoea, stomatitis and severe alopecia were significantly less (P<0.0001) and global quality of life scores significantly better (P&<0.001) for patients in the PVI 5-FU treatment arm. In conclusion, infused 5-FU given over 12 weeks resulted in similar survival to bolus 5-FU and FA over a 6 month period, but with significantly less toxicity

    Evaluation of 3D T1-weighted imaging at 3T across scanner vendors and models

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    Volumetric analyses of 3D T1-weighted images has become an integral part of the clinical work-up and research studies. Variation between scanners, in both vendors and models, is a major confound in combining imaging-derived biomarkers across sites. In this work, we analyse test-retest data from di×erent days on six 3 T scanners from three vendors to quantify this inter-scanner variability compared to intra-scanner variability. Contrast-to-noise ratios as well as volumetric analyses are performed showing between-scanner variation in total brain volumes – indicating di×erent scanner calibrations – but also tissue-speciÒc di×erences – possibly arising from di×erent e×ective contrasts
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