Phonologically-based biomarkers for major depressive disorder
Of increasing importance in the civilian and military population is the recognition of major depressive disorder at its earliest stages and intervention before the onset of severe symptoms. Toward the goal of more effective monitoring of depression severity, we introduce vocal biomarkers that are de...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2012
|
| Online Access: | http://hdl.handle.net/1721.1/69917 |
| _version_ | 1826193453168459776 |
|---|---|
| author | Trevino, Andrea Carolina Malyska, Nicolas Quatieri, Thomas F. |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Trevino, Andrea Carolina Malyska, Nicolas Quatieri, Thomas F. |
| author_sort | Trevino, Andrea Carolina |
| collection | MIT |
| description | Of increasing importance in the civilian and military population is the recognition of major depressive disorder at its earliest stages and intervention before the onset of severe symptoms. Toward the goal of more effective monitoring of depression severity, we introduce vocal biomarkers that are derived automatically from phonologically-based measures of speech rate. To assess our measures, we use a 35-speaker free-response speech database of subjects treated for depression over a 6-week duration. We find that dissecting average measures of speech rate into phone-specific characteristics and, in particular, combined phone-duration measures uncovers stronger relationships between speech rate and depression severity than global measures previously reported for a speech-rate biomarker. Results of this study are supported by correlation of our measures with depression severity and classification of depression state with these vocal measures. Our approach provides a general framework for analyzing individual symptom categories through phonological units, and supports the premise that speaking rate can be an indicator of psychomotor retardation severity. |
| first_indexed | 2024-09-23T09:39:46Z |
| format | Article |
| id | mit-1721.1/69917 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:39:46Z |
| publishDate | 2012 |
| publisher | Springer |
| record_format | dspace |
| spelling | mit-1721.1/699172022-09-30T15:59:40Z Phonologically-based biomarkers for major depressive disorder Trevino, Andrea Carolina Malyska, Nicolas Quatieri, Thomas F. Lincoln Laboratory Quatieri, Thomas F. Trevino, Andrea Carolina Malyska, Nicolas Of increasing importance in the civilian and military population is the recognition of major depressive disorder at its earliest stages and intervention before the onset of severe symptoms. Toward the goal of more effective monitoring of depression severity, we introduce vocal biomarkers that are derived automatically from phonologically-based measures of speech rate. To assess our measures, we use a 35-speaker free-response speech database of subjects treated for depression over a 6-week duration. We find that dissecting average measures of speech rate into phone-specific characteristics and, in particular, combined phone-duration measures uncovers stronger relationships between speech rate and depression severity than global measures previously reported for a speech-rate biomarker. Results of this study are supported by correlation of our measures with depression severity and classification of depression state with these vocal measures. Our approach provides a general framework for analyzing individual symptom categories through phonological units, and supports the premise that speaking rate can be an indicator of psychomotor retardation severity. United States. Dept. of Defense (Air Force Contract FA8721-05-C-0002) 2012-04-04T14:02:12Z 2012-04-04T14:02:12Z 2011-08 2010-08 2012-03-16T16:55:44Z Article http://purl.org/eprint/type/JournalArticle 1110-8657 1687-0433 http://hdl.handle.net/1721.1/69917 EURASIP Journal on Advances in Signal Processing. 2011 Aug 16;2011(1):42 en http://dx.doi.org/10.1186/1687-6180-2011-42 EURASIP Journal on Advances in Signal Processing http://creativecommons.org/licenses/by/2.0 Trevino et al.; licensee BioMed Central Ltd. application/pdf Springer |
| spellingShingle | Trevino, Andrea Carolina Malyska, Nicolas Quatieri, Thomas F. Phonologically-based biomarkers for major depressive disorder |
| title | Phonologically-based biomarkers for major depressive disorder |
| title_full | Phonologically-based biomarkers for major depressive disorder |
| title_fullStr | Phonologically-based biomarkers for major depressive disorder |
| title_full_unstemmed | Phonologically-based biomarkers for major depressive disorder |
| title_short | Phonologically-based biomarkers for major depressive disorder |
| title_sort | phonologically based biomarkers for major depressive disorder |
| url | http://hdl.handle.net/1721.1/69917 |
| work_keys_str_mv | AT trevinoandreacarolina phonologicallybasedbiomarkersformajordepressivedisorder AT malyskanicolas phonologicallybasedbiomarkersformajordepressivedisorder AT quatierithomasf phonologicallybasedbiomarkersformajordepressivedisorder |