TABLE SUPP 1: frequency of citations for formula interventions identified by the search terms at different stages in the selection procedure. SUPP 2: glossary of Pin yin, Chinese, and scientific names for traditional medicines, books, formulas, and other terms cited in the text and tables. TABLE SUPP 3: traditional properties of the most frequent herbs: channel tropism, flavour, nature. (Supplementary Materials)
Mortality-causing mechanisms and healthcare resource utilisation of treatment-resistant depression: A six-year population-based cohort study.Chan VK, Cheung EC, Chan SS, Knapp M, Hayes JF, Fan M, Lai FT, Luo H, Lum T, Wong RS, Lau LK, Wan EY, Wong GH, Chan EW, Ip P, Wong IC, Li X.Lancet Reg Health West Pac. 2022 Mar 15;22:100426. doi: 10.1016/j.lanwpc.2022.100426. eCollection 2022 May. PMID: 35637863
Adolescence is a critical period accompanied by dramatic neurobiological, physical, behavioural and emotional changes, predisposing the youngsters to sleep disorders, mental and physical illnesses. It is a vulnerable period for the emergence of insomnia, affecting 10% to 36% of the adolescents. Insomnia once developed, tends to run a chronic course with considerable personal distress and health care burden.
Education and the moderating roles of age, sex, ethnicity and apolipoprotein epsilon 4 on the risk of cognitive impairment.Makkar SR, Lipnicki DM, Crawford JD, Kochan NA, Castro-Costa E, Lima-Costa MF, Diniz BS, Brayne C, Stephan B, Matthews F, Llibre-Rodriguez JJ, Llibre-Guerra JJ, Valhuerdi-Cepero AJ, Lipton RB, Katz MJ, Zammit A, Ritchie K, Carles S, Carriere I, Scarmeas N, Yannakoulia M, Kosmidis M, Lam L, Fung A, Chan WC, Guaita A, Vaccaro R, Davin A, Kim KW, Han JW, Suh SW, Riedel-Heller SG, Roehr S, Pabst A, Ganguli M, Hughes TF, Jacobsen EP, Anstey KJ, Cherbuin N, Haan MN, Aiello AE, Dang K, Kumagai S, Narazaki K, Chen S, Ng TP, Gao Q, Nyunt MSZ, Meguro K, Yamaguchi S, Ishii H, Lobo A, Lobo Escolar E, De la Cámara C, Brodaty H, Trollor JN, Leung Y, Lo JW, Sachdev P; for Cohort Studies of Memory in an International Consortium (COSMIC).Arch Gerontol Geriatr. 2020 Nov/Dec;91:104112. doi: 10.1016/j.archger.2020.104112. Epub 2020 Jul 13. PMID: 32738518; PMCID: PMC7724926.
Advanced Magnetic Resonance Imaging (MRI) analysis techniques have greatly contributed to detect the anatomical changes in age-related neurodegenerative diseases. With the fast development of transcranial brain stimulation, MRI-based morphometry is increasingly being applied to construct head model and optimize stimulation protocols. For years, converging evidence has accumulated on the clinical trials of brain stimulation, yet, the variability in morphometry limits the application and interpretation at individual level.
Significance of the study: The findings of this study have significant implications in morphometric imaging and precision medicine. Firstly, the identification of SCD in MCI converters that region-specific SCD may be used as a novel imaging biomarker for the early detection of dementia; meanwhile, offering valuable information to optimize the dosage of brain stimulation. Secondly, the newly developed method to quantify the SCD-related electric field changes (i.e., information entropy) may help to improve realistic head model, advancing precision medicine for neurodegenerative diseases in clinical trials (Figure 1). 781b155fdc