318 research outputs found

    Noun and Verb Production and Comprehension in Stroke-Induced and Primary Progressive Aphasia: An Introduction to the Northwestern Naming Battery

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    This study examined production and comprehension of nouns and verbs using the Northwestern Naming Battery (NNB), a new test designed to assess naming ability in individuals with stroke-induced or primary progressive aphasia (PPA). Scores derived from the NNB were also compared to scores from published, standardized tests to evaluate the NNB’s validity. Dissociations between word classes in production were observed for participants with stroke-induced anomic and Broca’s aphasia with agrammatism and individuals with logopenic and agrammatic variants of PPA, with the two agrammatic groups showing greater impairment for verb compared to noun naming. Clinical and theoretical implications will be discussed

    Phonological Facilitation of Object Naming in Agrammatic and Logopenic Primary Progressive Aphasia (PPA): Evidence for a Phonological Processing Deficit

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    Naming is a pervasive deficit in primary progressive aphasia. However, the source of such deficits across PPA variants is little understood. In this study, individuals with agrammatic (PPA-G) and logopenic (PPA-L) PPA, along with age-matched controls, performed a picture-word interference task to test for online phonological processing deficits during naming. All groups exhibited phonological facilitation (PF) effects, i.e., speeded picture naming in the presence of phonologically-related words. However, the PPA participants exhibited abnormally large PF effects that also were protracted, compared to the control group. These results suggest that impaired phonological processing may contribute to anomia in PPA-G and PPA-L

    Neural correlates of grammatical impairment in primary progressive aphasia

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    Primary progressive aphasia (PPA) is characterized by distinct patterns of left-lateralized neural degeneration and declining language functioning. Although deficits in grammatical processing (e.g., complex sentence production and comprehension, production of grammatical morphology) are primarily seen in the agrammatic variant (PPA-G), subtle impairments also may be observed in the logopenic (PPA-L) and semantic (PPA-S) variants (see Wilson, et al., 2012; Thompson & Mack, in press, for a review). In cognitively healthy individuals, production and comprehension of syntactically complex structures involves both the left middle temporal cortex (Ben-Shalom & Poeppel, 2008; Indefrey & Levelt, 2004) and the left inferior frontal and motor cortices (Friederici, 2002; Kielar et al., 2011; Shapiro, et al., 2012; Tyler et al., 2005), with similar regions engaged for production of grammatical morphology. However, impaired complex sentence production and comprehension in PPA has been linked primarily to atrophy in the left inferior frontal gyrus (IFG) (Amici et al., 2007; Rogalski et al., 2011; Wilson et al., 2011) and atrophy patterns associated with deficits in grammatical morphology have not been previously studied. The present study aimed to identify the cortical areas of atrophy associated with deficits in complex sentence production, complex sentence comprehension, and production of grammatical morphology in PPA. Identification of these patterns has relevance for understanding the neural mechanisms of grammatical processing and as well as for clinical management of individuals with PPA

    Sentence Comprehension and Production in Stroke-induced and Primary Progressive Aphasia (PPA): The Northwestern Assessment of Verbs and Sentences (NAVS)

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    This study examined comprehension and production of both canonical and noncanonical sentences in 46 individuals with stroke-induced (StrAph) [26 Broca’s aphasic with agrammatism (StrAg); 20 anomic (StrAn)] and 32 with primary progressive aphasia (PPA) [15 agrammatic (PPA-G); 17 logopenic (PPA-L)], using the Northwestern Assessment of Verbs and Sentences (NAVS; Thompson, experimental version). The two agrammatic, StrAg and PPA-G, groups performed in a very similar manner, with both showing significantly greater difficulty with noncanonical compared to canonical sentences in both modalities, compared to StrAn and PPA-L participants

    Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

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    The Human Proteome Organization’s (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.This work was funded in part by the National Institutes of Health grants R01GM087221 (EWD/RLM), R24GM127667 (EWD), U54EB020406 (EWD), R01HL133135 (RLM), U19AG02312 (RLM), U54ES017885 (GSO), U24CA210967-01 (GSO), R01LM013115 (NB) and P41GM103484 (NB); National Science Foundation grants ABI-1759980 (NB), DBI-1933311 (EWD), and IOS-1922871 (EWD); Canadian Institutes of Health Research 148408 (CMO); Korean Ministry of Health and Welfare HI13C2098 (YKP); French Ministry of Higher Education, Research and Innovation, ProFI project, ANR-10-INBS-08 (YV); also in part by the National Eye Institute (NEI), National Human Genome Research Institute (NHGRI), National Heart, Lung, and Blood Institute (NHLBI), National Institute of Allergy and Infectious Diseases (NIAID), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of General Medical Sciences (NIGMS), and National Institute of Mental Health (NIMH) of the National Institutes of Health under Award Number U24HG007822 (SO) (the content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health)
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