ABSTRACT
Introduction: Therapists' responses to patients play a crucial role in psychotherapy and are considered a key component of the patient-clinician relationship, which promotes successful treatment outcomes. To date, no empirical research has ever investigated therapist response patterns to patients with different personality disorders from a neuroscience perspective. Methods: In the present study, psychodynamic therapists (N = 14) were asked to complete a battery of instruments (including the Therapist Response Questionnaire) after watching three videos showing clinical interactions between a therapist and three patients with narcissistic, histrionic/borderline, and depressive personality disorders, respectively. Subsequently, participants' high-density electroencephalography (hdEEG) was recorded as they passively viewed pictures of the patients' faces, which were selected from the still images of the previously shown videos. Supervised machine learning (ML) was used to evaluate whether: (1) therapists' responses predicted which patient they observed during the EEG task and whether specific clinician reactions were involved in distinguishing between patients with different personality disorders (using pairwise comparisons); and (2) therapists' event-related potentials (ERPs) predicted which patient they observed during the laboratory experiment and whether distinct ERP components allowed this forecast. Results: The results indicated that therapists showed distinct patterns of criticized/devalued and sexualized reactions to visual depictions of patients with different personality disorders, at statistically systematic and clinically meaningful levels. Moreover, therapists' late positive potentials (LPPs) in the hippocampus were able to determine which patient they observed during the EEG task, with high accuracy. Discussion: These results, albeit preliminary, shed light on the role played by therapists' memory processes in psychotherapy. Clinical and neuroscience implications of the empirical investigation of therapist responses are discussed.
ABSTRACT
BACKGROUND: Several studies report that practicing Yoga may lead to numerous psychophysiological benefits in patients undergoing treatment for cancer. Moreover, it may result in an effective alternative for coping with sleep disturbances, anxiety, depression and fatigue symptoms. A study based on the "Yoga in Oncology" project of the Foundation Poliambulanza was carried out, and it was designed to explore the benefits of Yoga, therefore corroborating Yoga as a therapeutic activity that can have a beneficial impact on patients diagnosed with cancer. METHODS: Seventy patients were recruited, of whom 20% were males and 80% were females 18 years of age and older. All patients were being treated at the oncology department for gastrointestinal, mammary or genital carcinoma, and the disease was metastatic in 80% of patients. Data were collected between April 2013 and May 2017. The protocol consisted of a weekly 90-minute Yoga lesson for 8 consecutive weeks, and the data collection was carried out in 2 phases: (T0) preprotocol assessment and (T1) postprotocol assessment. Psychophysiological assessment was carried out with the following scales: the (BFI) Brief Fatigue Inventory, (HADS) Hospital Anxiety and Depression Scale and (PSQI) Pittsburgh Sleep Quality Index. RESULTS: Data analysis showed a significant difference between the (T0) and (T1) HADS (Hospital Anxiety and Depression Scale) scores. The constructs of this scale consist of psychological variables for the assessment of anxiety and depression. In contrast, scores from the (BFI) Brief Fatigue Inventory and (PSQI) Pittsburgh Sleep Quality Index did not show significant differences between (T0) and (T1): such scales are relative to psychophysiological variables for an assessment of the perception of fatigue and quality of sleep. CONCLUSION: It is noteworthy that the data, once analyzed, showed a significant difference between preprotocol and postprotocol levels of anxiety and depression but not for the perception of fatigue or the quality of sleep. In accordance with the scientific literature, data from this study highlight that practicing Yoga may promote changes in the levels of perceived anxiety and depression in patients undergoing treatment for cancer, thus positively affecting their (QoL). It is clear that the difference in significance between the psychological and physiological variables considered here and the statistical significance found only in levels of anxiety and depression encourage further studies to account for the nature of fatigue and sleep disturbances and how to address these symptoms in oncological patients. Moreover, other points of interest for future clinical research regard the evaluation of the reason for the possible denial to participate to this kind of study, as well as the social-cultural differences in patients' behavior.
