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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification ...
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Enhance Language Identification using Dual-mode Model with Knowledge Distillation ...
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Learning Policies for Multilingual Training of Neural Machine Translation Systems ...
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Sign language can reduce communication interference in Emergency Department
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In: Am J Emerg Med (2021)
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An exploratory study of undergraduate healthcare student perspectives regarding human papillomavirus and vaccine intent in India
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In: Womens Health (Lond) (2021)
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Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. ⟨10.1140/epjc/s10052-020-08562-y⟩ (2020)
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Spatiotemporal dynamics of postoperative functional plasticity in patients with brain tumors in language areas
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In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.archives-ouvertes.fr/hal-03489627 ; Brain and Language, Elsevier, 2020, 202, pp.104741 -. ⟨10.1016/j.bandl.2019.104741⟩ (2020)
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CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings
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In: CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments ; https://hal.inria.fr/hal-02546993 ; CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments, May 2020, Barcelona / Virtual, Spain (2020)
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Functional competence and cognition in individuals with amnestic mild cognitive impairment
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Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $
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In: http://infoscience.epfl.ch/record/275278 (2020)
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Artificial Intelligence and Machine Learning: A New Disruptive Force in Orthopaedics
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In: Indian J Orthop (2020)
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Functional Language Network Connectivity in Children of Women with Epilepsy with Selective Antenatal Antiepileptic Drug Exposure
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Effect of Mandibular Advancement Surgery on Tongue Length and Height and Its Correlation with Upper Airway Dimensions
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In: J Maxillofac Oral Surg (2020)
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Longitudinal progression of grey matter atrophy in non-amnestic Alzheimer’s disease
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Phillips, Jeffrey S; Da Re, Fulvio; Irwin, David J; McMillan, Corey T; Vaishnavi, Sanjeev N; Xie, Sharon X; Lee, Edward B; Cook, Philip A; Gee, James C; Shaw, Leslie M; Trojanowski, John Q; Wolk, David A; Grossman, Murray
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In: Brain (2019)
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Abstract:
Recent models of Alzheimer’s disease progression propose that disease may be transmitted between brain areas either via local diffusion or long-distance transport via white matter fibre pathways. However, it is unclear whether such models are applicable in non-amnestic Alzheimer’s disease, which is associated with domain-specific cognitive deficits and relatively spared episodic memory. To date, the anatomical progression of disease in non-amnestic patients remains understudied. We used longitudinal imaging to differentiate earlier atrophy and later disease spread in three non-amnestic variants, including logopenic-variant primary progressive aphasia (n = 25), posterior cortical atrophy (n = 20), and frontal-variant Alzheimer’s disease (n = 12), as well as 17 amnestic Alzheimer’s disease patients. Patients were compared to 37 matched controls. All patients had autopsy (n = 7) or CSF (n = 67) evidence of Alzheimer’s disease pathology. We first assessed atrophy in suspected sites of disease origin, adjusting for age, sex, and severity of cognitive impairment; we then performed exploratory whole-brain analysis to investigate longitudinal disease spread both within and outside these regions. Additionally, we asked whether each phenotype exhibited more rapid change in its associated disease foci than other phenotypes. Finally, we investigated whether atrophy was related to structural brain connectivity. Each non-amnestic phenotype displayed unique patterns of initial atrophy and subsequent neocortical change that correlated with cognitive decline. Longitudinal atrophy included areas both proximal to and distant from sites of initial atrophy, suggesting heterogeneous mechanisms of disease spread. Moreover, regional rates of neocortical change differed by phenotype. Logopenic-variant patients exhibited greater initial atrophy and more rapid longitudinal change in left lateral temporal areas than other groups. Frontal-variant patients had pronounced atrophy in left insula and middle frontal gyrus, combined with more rapid atrophy of left insula than other non-amnestic patients. In the medial temporal lobes, non-amnestic patients had less atrophy at their initial scan than amnestic patients, but longitudinal rate of change did not differ between patient groups. Medial temporal sparing in non-amnestic Alzheimer’s disease may thus be due in part to later onset of medial temporal degeneration than in amnestic patients rather than different rates of atrophy over time. Finally, the magnitude of longitudinal atrophy was predicted by structural connectivity, measured in terms of node degree; this result provides indirect support for the role of long-distance fibre pathways in the spread of neurodegenerative disease.
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Keyword:
Original Articles
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URL: https://doi.org/10.1093/brain/awz091
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585881/
http://www.ncbi.nlm.nih.gov/pubmed/31135048
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Implementing Dialectical Behaviour Therapy: An Exploratory Study of Fidelity and the Fidelity-adaptation Relationship
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Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-01833739 ; Eur.Phys.J.C, 2018, 78 (6), pp.509. ⟨10.1140/epjc/s10052-018-5950-6⟩ (2018)
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