Dynamics of Spoken Word Comprehension in Aphasia View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2010-2016

FUNDING AMOUNT

1774447 USD

ABSTRACT

Project Summary/Abstract Aphasia is a stroke-related disability of language processing that affects about one million people in the United States. Human activity is so dependent on spoken communication that impairments of spoken language processing, such as aphasia, can be devastating. In addition to functional impairments such as inability to work, language impairments can also cause social isolation and its consequent negative outcomes on mental and physical health. Because language processing calls on many different cognitive faculties, aphasia may have many different underlying causes and each aphasic individual may have a subtly different impairment. Designing effective rehabilitation strategies depends on our understanding of the nature of the impairment, thus, the focus of this proposal is on using behavioral experiments and computational modeling methods to develop a formal theory of aphasic spoken word comprehension. The proposed experiments will investigate phonological, semantic, and cognitive control aspects of word processing in a large and diverse set of aphasic individuals and unimpaired control participants using behavioral and eye tracking measures. These measures will provide new insights into the dynamics of word processing in aphasia. Computational modeling will be used to develop and test formal accounts of word processing deficits in aphasia. With a better understanding of the underlying causes of aphasic language impairments and a formal model of aphasia, more effective rehabilitation strategies can be developed. More... »

URL

http://projectreporter.nih.gov/project_info_description.cfm?aid=9172682

Related SciGraph Publications

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2211", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2217", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2217", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "USD", 
      "type": "MonetaryAmount", 
      "value": "1774447"
    }, 
    "description": "Project Summary/Abstract Aphasia is a stroke-related disability of language processing that affects about one million people in the United States. Human activity is so dependent on spoken communication that impairments of spoken language processing, such as aphasia, can be devastating. In addition to functional impairments such as inability to work, language impairments can also cause social isolation and its consequent negative outcomes on mental and physical health. Because language processing calls on many different cognitive faculties, aphasia may have many different underlying causes and each aphasic individual may have a subtly different impairment. Designing effective rehabilitation strategies depends on our understanding of the nature of the impairment, thus, the focus of this proposal is on using behavioral experiments and computational modeling methods to develop a formal theory of aphasic spoken word comprehension. The proposed experiments will investigate phonological, semantic, and cognitive control aspects of word processing in a large and diverse set of aphasic individuals and unimpaired control participants using behavioral and eye tracking measures. These measures will provide new insights into the dynamics of word processing in aphasia. Computational modeling will be used to develop and test formal accounts of word processing deficits in aphasia. With a better understanding of the underlying causes of aphasic language impairments and a formal model of aphasia, more effective rehabilitation strategies can be developed.", 
    "endDate": "2016-11-30T00:00:00Z", 
    "funder": {
      "id": "https://www.grid.ac/institutes/grid.214431.1", 
      "type": "Organization"
    }, 
    "id": "sg:grant.2489261", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "2489261"
        ]
      }, 
      {
        "name": "nih_id", 
        "type": "PropertyValue", 
        "value": [
          "R01DC010805"
        ]
      }
    ], 
    "inLanguage": [
      "en"
    ], 
    "keywords": [
      "word comprehension", 
      "different impairments", 
      "communication", 
      "word processing", 
      "diverse set", 
      "Project Summary/Abstract Aphasia", 
      "new insights", 
      "better understanding", 
      "unimpaired control participants", 
      "aphasic individuals", 
      "aphasics", 
      "aphasia", 
      "experiments", 
      "cause", 
      "many different cognitive faculties", 
      "focus", 
      "language impairment", 
      "computational modeling methods", 
      "measures", 
      "addition", 
      "computational modeling", 
      "formal theory", 
      "understanding", 
      "cognitive control aspects", 
      "formal account", 
      "nature", 
      "formal model", 
      "proposal", 
      "functional impairment", 
      "social isolation", 
      "stroke", 
      "United States", 
      "eyes", 
      "impairment", 
      "behavioral experiments", 
      "human activities", 
      "physical health", 
      "language processing", 
      "word processing deficits", 
      "aphasic language impairments", 
      "inability", 
      "disability", 
      "people", 
      "spoken word comprehension", 
      "consequent negative outcomes", 
      "dynamics", 
      "effective rehabilitation strategies"
    ], 
    "name": "Dynamics of Spoken Word Comprehension in Aphasia", 
    "recipient": [
      {
        "id": "https://www.grid.ac/institutes/grid.166341.7", 
        "type": "Organization"
      }, 
      {
        "affiliation": {
          "id": "https://www.grid.ac/institutes/grid.166341.7", 
          "name": "DREXEL UNIVERSITY", 
          "type": "Organization"
        }, 
        "familyName": "MIRMAN", 
        "givenName": "DANIEL", 
        "id": "sg:person.0727657763.04", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.0727657763.04", 
        "roleName": "PI", 
        "type": "Role"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.2489261"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2019-03-07T12:15", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/nih_projects_7.xml.gz", 
    "startDate": "2010-06-01T00:00:00Z", 
    "type": "MonetaryGrant", 
    "url": "http://projectreporter.nih.gov/project_info_description.cfm?aid=9172682"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/grant.2489261'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.2489261'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.2489261'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.2489261'


 

This table displays all metadata directly associated to this object as RDF triples.

94 TRIPLES      19 PREDICATES      70 URIs      61 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:grant.2489261 schema:about anzsrc-for:2211
2 anzsrc-for:2217
3 schema:amount Nfb67b85dc1ad4a079d2ed9c1726cec98
4 schema:description Project Summary/Abstract Aphasia is a stroke-related disability of language processing that affects about one million people in the United States. Human activity is so dependent on spoken communication that impairments of spoken language processing, such as aphasia, can be devastating. In addition to functional impairments such as inability to work, language impairments can also cause social isolation and its consequent negative outcomes on mental and physical health. Because language processing calls on many different cognitive faculties, aphasia may have many different underlying causes and each aphasic individual may have a subtly different impairment. Designing effective rehabilitation strategies depends on our understanding of the nature of the impairment, thus, the focus of this proposal is on using behavioral experiments and computational modeling methods to develop a formal theory of aphasic spoken word comprehension. The proposed experiments will investigate phonological, semantic, and cognitive control aspects of word processing in a large and diverse set of aphasic individuals and unimpaired control participants using behavioral and eye tracking measures. These measures will provide new insights into the dynamics of word processing in aphasia. Computational modeling will be used to develop and test formal accounts of word processing deficits in aphasia. With a better understanding of the underlying causes of aphasic language impairments and a formal model of aphasia, more effective rehabilitation strategies can be developed.
5 schema:endDate 2016-11-30T00:00:00Z
6 schema:funder https://www.grid.ac/institutes/grid.214431.1
7 schema:identifier N262dc410bb254755811c868e9940112c
8 N4ed450de5e5342558f3734964cc49a73
9 schema:inLanguage en
10 schema:keywords Project Summary/Abstract Aphasia
11 United States
12 addition
13 aphasia
14 aphasic individuals
15 aphasic language impairments
16 aphasics
17 behavioral experiments
18 better understanding
19 cause
20 cognitive control aspects
21 communication
22 computational modeling
23 computational modeling methods
24 consequent negative outcomes
25 different impairments
26 disability
27 diverse set
28 dynamics
29 effective rehabilitation strategies
30 experiments
31 eyes
32 focus
33 formal account
34 formal model
35 formal theory
36 functional impairment
37 human activities
38 impairment
39 inability
40 language impairment
41 language processing
42 many different cognitive faculties
43 measures
44 nature
45 new insights
46 people
47 physical health
48 proposal
49 social isolation
50 spoken word comprehension
51 stroke
52 understanding
53 unimpaired control participants
54 word comprehension
55 word processing
56 word processing deficits
57 schema:name Dynamics of Spoken Word Comprehension in Aphasia
58 schema:recipient N06257a5ffd8f4d8085eb4d21009176f0
59 sg:person.0727657763.04
60 https://www.grid.ac/institutes/grid.166341.7
61 schema:sameAs https://app.dimensions.ai/details/grant/grant.2489261
62 schema:sdDatePublished 2019-03-07T12:15
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher Ndf5f831da0554659ae8232178aae21c7
65 schema:startDate 2010-06-01T00:00:00Z
66 schema:url http://projectreporter.nih.gov/project_info_description.cfm?aid=9172682
67 sgo:license sg:explorer/license/
68 sgo:sdDataset grants
69 rdf:type schema:MonetaryGrant
70 N06257a5ffd8f4d8085eb4d21009176f0 schema:member sg:person.0727657763.04
71 schema:roleName PI
72 rdf:type schema:Role
73 N262dc410bb254755811c868e9940112c schema:name nih_id
74 schema:value R01DC010805
75 rdf:type schema:PropertyValue
76 N4ed450de5e5342558f3734964cc49a73 schema:name dimensions_id
77 schema:value 2489261
78 rdf:type schema:PropertyValue
79 Ndf5f831da0554659ae8232178aae21c7 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 Nfb67b85dc1ad4a079d2ed9c1726cec98 schema:currency USD
82 schema:value 1774447
83 rdf:type schema:MonetaryAmount
84 anzsrc-for:2211 schema:inDefinedTermSet anzsrc-for:
85 rdf:type schema:DefinedTerm
86 anzsrc-for:2217 schema:inDefinedTermSet anzsrc-for:
87 rdf:type schema:DefinedTerm
88 sg:person.0727657763.04 schema:affiliation https://www.grid.ac/institutes/grid.166341.7
89 schema:familyName MIRMAN
90 schema:givenName DANIEL
91 rdf:type schema:Person
92 https://www.grid.ac/institutes/grid.166341.7 schema:name DREXEL UNIVERSITY
93 rdf:type schema:Organization
94 https://www.grid.ac/institutes/grid.214431.1 schema:Organization
 




Preview window. Press ESC to close (or click here)


...