The general objectives of this project are to (1) assimilate data from language pathology to psycholinguistic theories of normal language processing, using aphasia as a testing ground for those theories; (2) develop assessments and analyses that can be used reliably across patients and across laboratories to yield the type of data suitable for (1); (3) obtain data that can be applied in the rehabilitation of aphasic disorders; and (4) develop computational models that instantiate and test specific accounts of psycholinguistic disorders and their relation to the normal language system. In this project period, our efforts will be aimed at three areas: (a) syntactic disorders, where we will (i) complete a large scale study of sentence production in nonfluent aphasics that seeks to confirm previously reported dissociations of morphological and structural indices and (ii) conduct on-line studies of sentence processing to test competing accounts of the deficit that underlies asyntactic comprehension; (b) lexical-semantic deficits, where we will (i) explore in detail the disorder that selectively compromises knowledge of man-made artifacts, seeking to establish its implications for naming and object use, as well as its neuroanatomic substrate; and (ii) investigate the role of semantic complexity/and or specificity in the retrieval of verbs, using a story completion paradigm; (c) lexical- phonological retrieval, where we will (i) expand our effort to simulate aphasic naming patterns with an implemented interactive activation model, and to test predictions regarding other language functions that are derived from the model; (ii) use an error-elicitation procedure to investigate between-word sublexical interaction errors in fluent aphasic speech, including serial order effects, similarity constraints, and lexical bias; and (iii) further develop the model to deal with words of complex shape and multiple-word utterances.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
5R01DC000191-18
Application #
2899999
Study Section
Sensory Disorders and Language Study Section (CMS)
Project Start
1982-04-01
Project End
2001-03-31
Budget Start
1999-04-01
Budget End
2000-03-31
Support Year
18
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Temple University
Department
Neurology
Type
Schools of Medicine
DUNS #
City
Philadelphia
State
PA
Country
United States
Zip Code
19122
Mirman, Daniel; Landrigan, Jon-Frederick; Kokolis, Spiro et al. (2018) Corrections for multiple comparisons in voxel-based lesion-symptom mapping. Neuropsychologia 115:112-123
Thye, Melissa; Mirman, Daniel (2018) Relative contributions of lesion location and lesion size to predictions of varied language deficits in post-stroke aphasia. Neuroimage Clin 20:1129-1138
Schuchard, Julia; Middleton, Erica L; Schwartz, Myrna F (2017) The timing of spontaneous detection and repair of naming errors in aphasia. Cortex 93:79-91
Pustina, Dorian; Coslett, Harry Branch; Ungar, Lyle et al. (2017) Enhanced estimations of post-stroke aphasia severity using stacked multimodal predictions. Hum Brain Mapp 38:5603-5615
Pustina, Dorian; Coslett, H Branch; Turkeltaub, Peter E et al. (2016) Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis. Hum Brain Mapp 37:1405-21
Kittredge, Audrey K; Dell, Gary S (2016) Learning to speak by listening: Transfer of phonotactics from perception to production. J Mem Lang 89:8-22
Middleton, Erica L; Schwartz, Myrna F; Rawson, Katherine A et al. (2016) Towards a Theory of Learning for Naming Rehabilitation: Retrieval Practice and Spacing Effects. J Speech Lang Hear Res 59:1111-1122
Schwartz, Myrna F; Middleton, Erica L; Brecher, Adelyn et al. (2016) Does naming accuracy improve through self-monitoring of errors? Neuropsychologia 84:272-81
Mirman, Daniel; Zhang, Yongsheng; Wang, Ze et al. (2015) The ins and outs of meaning: Behavioral and neuroanatomical dissociation of semantically-driven word retrieval and multimodal semantic recognition in aphasia. Neuropsychologia 76:208-19
Mirman, Daniel; Chen, Qi; Zhang, Yongsheng et al. (2015) Neural organization of spoken language revealed by lesion-symptom mapping. Nat Commun 6:6762

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