On the Significance of Speech Pauses in Depressive Disorders: Results on Read and Spontaneous Narratives

Satisfaction degree in the using of VideoConferencing Psychotherapy in a sample of Italian psychotherapists during Covid-19 emergency

“…Surely the therapist face and body can convey security or threat and the therapist does not always realize what is going on. Facial micro-expressions, face muscle folds, small moments of distraction or eye contact loss of the therapist are often unaware and are "captured" in an equally unconscious way by the patient, along with all other verbal and bodily aspects [22,23]. During an online session the Skype reverse camera could help the therapist to become aware of his small movements (such as postural changes, forward or backward bending of the trunk, movements of the head), continuously sending information to his brain, which are then translated into signals that produce changes at the same time in him and the patient [24].…”

Revision on Psychometric Properties of the Temperament and Character Inventory in a Clinical Sample

“…In particular, correlations between mood disorders ( Miettunen and Raevuori, 2012 ; Zaninotto et al, 2016 ) and high scores at the temperamental dimension defined Harm Avoidance were found ( Young et al, 1995 ; Osher et al, 1996 ; Engström et al, 2004 ; Nowakowska et al, 2005 ; Zaninotto et al, 2015 ). A recent meta-analysis concerning the temperamental characteristics of subjects with psychiatric disorders ( Miettunen and Raevuori, 2012 ) showed that subjects with both unipolar and bipolar mood disorders had high scores at HA size and that subjects suffering from Major Depressive Disorder ( Esposito et al, 2016 ; Sperandeo et al, 2018a ) score low in the temperamental dimensions defined as Novelty Seeking and Reward Dependence.…”

AudVowelConsNet: A phoneme-level based deep CNN architecture for clinical depression diagnosis

“…Darby et al (1984) reported a reduction in frequency range of vowel production in individuals suffering from neurological and psychological disorders. Esposito et al (2016) concentrated on pauses and spectrogram-based consonant/vowel lengthening analysis to investigate how speech is affected in depression. Building on psychiatric research, Cummins et al (2017); Vlasenko et al (2017) focused on vowel-level analysis to investigate the effect of gender differences in depression and incorporated their findings in vowel-based genderspecific automatic depression recognition system.…”