Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia
Background and Objectives: There are several tests to determine the type and severity of aphasia, but they take a long time to administer when assessing aphasic patients. In recent years, the analysis of spontaneous speech has gained great attention because it is important to diagnose and follow pos...
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| Format: | Article |
| Language: | English |
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Iran University of Medical Sciences
2020-10-01
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| Series: | Function and Disability Journal |
| Subjects: | |
| Online Access: | https://fdj.iums.ac.ir/article-1-118-en.html |
| _version_ | 1798034374154780672 |
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| author | Narges Bayat Seyed Majid Rafiee Zahra Sadat Ghoreishi Mojtaba Azimian Javad Alaghband Rad Anahita Khorrami Banaraki Mahyar Salavati Amir Shiani |
| author_facet | Narges Bayat Seyed Majid Rafiee Zahra Sadat Ghoreishi Mojtaba Azimian Javad Alaghband Rad Anahita Khorrami Banaraki Mahyar Salavati Amir Shiani |
| author_sort | Narges Bayat |
| collection | DOAJ |
| description | Background and Objectives: There are several tests to determine the type and severity of aphasia, but they take a long time to administer when assessing aphasic patients. In recent years, the analysis of spontaneous speech has gained great attention because it is important to diagnose and follow post-treatment improvement in aphasic patients.
This study was done to assess some parameters of connected speech in aphasic patients. In addition, the correlation between connected speech parameters and the type and severity of aphasia was measured.
Methods: We compared the connected speech parameters of 27 aphasics (10 fluent and 17 non-fluent), Persian speakers, compared with the control group. There were two groups matched by age, sex, and education. Nest’s bird story pictures were used to elicit a speech sample. In the next step, the connected speech was analyzed to define speech parameters, including speech rate, mean length of utterance, number of utterances, total words, content words, function words, nouns, and verbs. Moreover, the severity of aphasia was measured using a Persian Western Aphasia Battery (WAB).
Results: The findings showed significant differences between groups in all parameters of the connected speech (P<0.01). The correlation coefficient between speech parameters and severity of aphasia demonstrated that all parameters were highly correlated (r >0.71) with the severity of aphasia (P<0.01) except for speech rate and the number of function words. There were some typical differences between linguistics grammatical and pragmatical characters of different types of aphasia.
Conclusion: Connected speech is one of the most sensitive parts of language in all types of aphasic patients. There are some clinical signs for differential diagnosis of aphasia based on speech measures. According to the findings, the type and severity of aphasia and connected speech were highly correlated. Thus, the use of the connected speech analysis is necessary as an assessment tool for the diagnosis of aphasia. |
| first_indexed | 2024-04-11T20:42:33Z |
| format | Article |
| id | doaj.art-6984e2bed9ec446988c470f3d71f3519 |
| institution | Directory Open Access Journal |
| issn | 2588-6304 |
| language | English |
| last_indexed | 2024-04-11T20:42:33Z |
| publishDate | 2020-10-01 |
| publisher | Iran University of Medical Sciences |
| record_format | Article |
| series | Function and Disability Journal |
| spelling | doaj.art-6984e2bed9ec446988c470f3d71f35192022-12-22T04:04:08ZengIran University of Medical SciencesFunction and Disability Journal2588-63042020-10-013114115010.32598/fdj.4.14Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of AphasiaNarges Bayat0Seyed Majid Rafiee1Zahra Sadat Ghoreishi2 Mojtaba Azimian 3Javad Alaghband Rad4Anahita Khorrami Banaraki5Mahyar Salavati6 Amir Shiani7Department of Speech Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.Department of Speech Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.Department of Speech Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.Department of Clinical Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. Department of Psychiatry, Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran.Brain and Cognition Clinic, Tehran, Iran.Department of Physiotherapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.Department of Speech Therapy, School of Rehabilitation Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.Background and Objectives: There are several tests to determine the type and severity of aphasia, but they take a long time to administer when assessing aphasic patients. In recent years, the analysis of spontaneous speech has gained great attention because it is important to diagnose and follow post-treatment improvement in aphasic patients. This study was done to assess some parameters of connected speech in aphasic patients. In addition, the correlation between connected speech parameters and the type and severity of aphasia was measured. Methods: We compared the connected speech parameters of 27 aphasics (10 fluent and 17 non-fluent), Persian speakers, compared with the control group. There were two groups matched by age, sex, and education. Nest’s bird story pictures were used to elicit a speech sample. In the next step, the connected speech was analyzed to define speech parameters, including speech rate, mean length of utterance, number of utterances, total words, content words, function words, nouns, and verbs. Moreover, the severity of aphasia was measured using a Persian Western Aphasia Battery (WAB). Results: The findings showed significant differences between groups in all parameters of the connected speech (P<0.01). The correlation coefficient between speech parameters and severity of aphasia demonstrated that all parameters were highly correlated (r >0.71) with the severity of aphasia (P<0.01) except for speech rate and the number of function words. There were some typical differences between linguistics grammatical and pragmatical characters of different types of aphasia. Conclusion: Connected speech is one of the most sensitive parts of language in all types of aphasic patients. There are some clinical signs for differential diagnosis of aphasia based on speech measures. According to the findings, the type and severity of aphasia and connected speech were highly correlated. Thus, the use of the connected speech analysis is necessary as an assessment tool for the diagnosis of aphasia.https://fdj.iums.ac.ir/article-1-118-en.htmlaphasiaconnected speechcommunication disorderspeech parameters |
| spellingShingle | Narges Bayat Seyed Majid Rafiee Zahra Sadat Ghoreishi Mojtaba Azimian Javad Alaghband Rad Anahita Khorrami Banaraki Mahyar Salavati Amir Shiani Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia Function and Disability Journal aphasia connected speech communication disorder speech parameters |
| title | Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia |
| title_full | Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia |
| title_fullStr | Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia |
| title_full_unstemmed | Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia |
| title_short | Analysis of Connected Speech in Persian Aphasic Patients and its Relationship With Type and Severity of Aphasia |
| title_sort | analysis of connected speech in persian aphasic patients and its relationship with type and severity of aphasia |
| topic | aphasia connected speech communication disorder speech parameters |
| url | https://fdj.iums.ac.ir/article-1-118-en.html |
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