Characterization of brain networks by diffusion MRI (dMRI) has rapidly evolved, and there are ongoing movements toward data sharing and multi-center studies. To extract meaningful information from multi-center data, methods to correct for the bias caused by scanner differences, that is, harmonization, are urgently needed. In this work, we report the cross-scanner differences in structural network analyses using data from nine traveling subjects (four males and five females, 21-49 years-old) who underwent scanning using four 3T scanners (public database available from the Brain/MINDS Beyond Human Brain MRI project (http://mriportal.umin.jp/)). The reliability and reproducibility were compared to those of data from another set of four subjects (all males, 29-42 years-old) who underwent scan-rescan (interval, 105-147 days) with the same scanner as well as scan-rescan data from the Human Connectome Project database. The results demonstrated that the reliability of the edge weights and graph theory metrics was lower for data including different scanners, compared to the scan-rescan with the same scanner. Besides, systematic differences between scanners were observed, indicating the risk of bias in comparing networks obtained from different scanners directly. We further demonstrate that it is feasible to reduce inter-scanner variabilities while preserving the inter-subject differences among healthy individuals by modeling the scanner effects at the level of network matrices, when traveling-subject data are available for calibration between scanners. The present data and results are expected to serve as a basis for developing and evaluating novel harmonization methods.

Personal recovery is increasingly recognised as an important outcome measure in mental health services. This study aimed to develop a Japanese version of the Questionnaire about the Process of Recovery (QPR-J) and test its validity and reliability. The study comprised two stages that employed the cross-sectional and prospective cohort designs, respectively. We translated the questionnaire using a standard translation/back-translation method. Convergent validity was examined by calculating Pearson’s correlation coefficients with scores on the Recovery Assessment Scale (RAS) and the Short-Form-8 Health Survey (SF-8). An exploratory factor analysis (EFA) was conducted to examine factorial validity. We used intraclass correlation and Cronbach’s alpha to examine the test-retest and internal consistency reliability of the QPR-J’s 22-item full scale, 17-item intrapersonal and 5-item interpersonal subscales. We conducted an EFA along with a confirmatory factor analysis (CFA). Data were obtained from 197 users of mental health services (mean age: 42.0 years; 61.9% female; 49.2% diagnosed with schizophrenia). The QPR-J showed adequate convergent validity, exhibiting significant, positive correlations with the RAS and SF-8 scores. The QPR-J’s full version, subscales, showed excellent test-retest and internal consistency reliability, with the exception of acceptable but relatively low internal consistency reliability for the interpersonal subscale. Based on the results of the CFA and EFA, we adopted the factor structure extracted from the original 2-factor model based on the present CFA. The QPR-J is an adequately valid and reliable measure of the process of recovery among Japanese users with mental health services.

The conceptualization of personal recovery began in Europe and North America and has spread worldwide. However, the concept of personal recovery in addition to recovery-promoting factors may be influenced by culture. We explored how users of mental health services in Japan perceive their own personal recovery and the factors that promote it. We conducted semi-structured interviews and focus group interviews with individuals using mental health services. The interview data were analysed using thematic analysis with a grouped framework analysis approach. We used a coding framework based on the existing CHIME framework (connectedness, hope and optimism about the future, identity, meaning in life, and empowerment). Data were obtained from 30 users of mental health services (mean age: 40.4 years; 46.7% women; 50.0% with schizophrenia). “Compassion for others” was newly extracted in “Connectedness”, and “Rebuilding/redefining identity not being as shaped by social norms” was newly extracted in “Identity” as personal recovery. “Positive experiences in childhood” (including positive parenting support from neighbours) was newly extracted as a recovery-promoting factor. Our unique findings on the rebuilding identity/defining identity free from conformity to social norms due to interactions with familiar people, including peers, may be culture dependent. This study raises overarching questions regarding how socio-cultural values influence the development of identity and personal values and how they are in turn reflected in personal recovery.