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Abstract #2144

Functional MRI Study of Visual Processing of Affirmative and Negative Sentences

Uttam Kumar1, C L. Khetrapal1

1CBMR, Center of Biomedical Magnetic Resonance, Lucknow, Uttar Pradesh, India

Functional Magnetic Resonance Imaging technique has been employed to study the expression and interpretation of negation in Hindi language. Hindi is subject-object-verb (SOV) language and has a long tradition of grammar and literature. To account the effect of semantic and syntactic features on neural network the study was undertaken where native Hindi reader performed the sentence judgment task (target-Probe) in affirmative and negative sentences. The result shows involvement of common as well as distinct regions for affirmative and negative sentences.

Keywords

account accuracy activation activity acuity affirm affirmative anterior aphasics aspects behavioral bilateral biomedical block brain carpenter character classify clause cognitive collected committee common complex condition conditions consent consisted control crucial demanding design difficult dire disease employed encoding ensure errors exposed extent fact faster female findings form fourteen free fully function gradient grammar grammatical hand human identify immediately include indexed indicate inform integration interpretation investigate investigation involved involvement isotropic judgment kept language length mapping marks matching matrix ming namely native negation negative network neural none noteworthy noticed object oblique occipital operation panel paradigm parametric parietal pars participant particularly pattern pole position positive posterior prepared previously primarily probe processing psychological rapid reaction reader reading related relation relations reported response revel review role sample says schematic semantic sentence sentences separate significantly slices software space spatial stimulus structure studies subject syntactic taken target targets task temporal tools tradition uncorrected verb vision whereas word words years