scholarly journals Dynamic Prosodic Features in Bipolar Disorder: How Shifting Vocal Patterns in Verbal Fluency Tasks Can Aid the Detection of Mixed Symptoms

Author(s):  
Luisa Weiner
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luisa Weiner ◽  
Andrea Guidi ◽  
Nadège Doignon-Camus ◽  
Anne Giersch ◽  
Gilles Bertschy ◽  
...  

AbstractThere is a lack of consensus on the diagnostic thresholds that could improve the detection accuracy of bipolar mixed episodes in clinical settings. Some studies have shown that voice features could be reliable biomarkers of manic and depressive episodes compared to euthymic states, but none thus far have investigated whether they could aid the distinction between mixed and non-mixed acute bipolar episodes. Here we investigated whether vocal features acquired via verbal fluency tasks could accurately classify mixed states in bipolar disorder using machine learning methods. Fifty-six patients with bipolar disorder were recruited during an acute episode (19 hypomanic, 8 mixed hypomanic, 17 with mixed depression, 12 with depression). Nine different trials belonging to four conditions of verbal fluency tasks—letter, semantic, free word generation, and associational fluency—were administered. Spectral and prosodic features in three conditions were selected for the classification algorithm. Using the leave-one-subject-out (LOSO) strategy to train the classifier, we calculated the accuracy rate, the F1 score, and the Matthews correlation coefficient (MCC). For depression versus mixed depression, the accuracy and F1 scores were high, i.e., respectively 0.83 and 0.86, and the MCC was of 0.64. For hypomania versus mixed hypomania, accuracy and F1 scores were also high, i.e., 0.86 and 0.75, respectively, and the MCC was of 0.57. Given the high rates of correctly classified subjects, vocal features quickly acquired via verbal fluency tasks seem to be reliable biomarkers that could be easily implemented in clinical settings to improve diagnostic accuracy.


2017 ◽  
Vol 27 ◽  
pp. S829-S830
Author(s):  
K. Machalska ◽  
A. Turek ◽  
A.A. Chrobak ◽  
A. Tereszko ◽  
M. Siwek ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Luisa Weiner ◽  
Nadège Doignon-Camus ◽  
Gilles Bertschy ◽  
Anne Giersch

Abstract Bipolar disorder (BD) is characterized by speech abnormalities, reflected by symptoms such as pressure of speech in mania and poverty of speech in depression. Here we aimed at investigating speech abnormalities in different episodes of BD, including mixed episodes, via process-oriented measures of verbal fluency performance – i.e., word and error count, semantic and phonological clustering measures, and number of switches–, and their relation to neurocognitive mechanisms and clinical symptoms. 93 patients with BD – i.e., 25 manic, 12 mixed manic, 19 mixed depression, 17 depressed, and 20 euthymic–and 31 healthy controls were administered three verbal fluency tasks – free, letter, semantic–and a clinical and neuropsychological assessment. Compared to depression and euthymia, switching and clustering abnormalities were found in manic and mixed states, mimicking symptoms like flight of ideas. Moreover, the neuropsychological results, as well as the fact that error count did not increase whereas phonological associations did, showed that impaired inhibition abilities and distractibility could not account for the results in patients with manic symptoms. Rather, semantic overactivation in patients with manic symptoms, including mixed depression, may compensate for trait-like deficient semantic retrieval/access found in euthymia. “For those who are manic, or those who have a history of mania, words move about in all directions possible, in a three-dimensional ‘soup’, making retrieval more fluid, less predictable.” Kay Redfield Jamison (2017, p. 279).


2014 ◽  
Vol 24 ◽  
pp. S446-S447
Author(s):  
B. Baskak ◽  
E.T. Ozel-Kizil ◽  
E. Zivrali ◽  
E. Ates ◽  
B. Cihan ◽  
...  

2020 ◽  
Vol 738 ◽  
pp. 135310
Author(s):  
Halise Devrimci-Ozguven ◽  
Y. Hosgoren Alıcı ◽  
M. Demirbugen Oz ◽  
H.S. Suzen ◽  
H.E. Kale ◽  
...  

2019 ◽  
Vol 271 ◽  
pp. 15-22 ◽  
Author(s):  
Paweł Krukow ◽  
Michał Harciarek ◽  
Cezary Grochowski ◽  
Agata Makarewicz ◽  
Kamil Jonak ◽  
...  

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