The search identified 1,181 publications, of which 43 met the above inclusion criteria: 24 were related to the treatment of non-unipolar depression (ECT: 21; rTMS: 2; ECT and rTMS: 1), 14 related to dementia (ECT: 7[2 of these studies were also related to depression]; vagal nerve stimulation: 2; rTMS: 4; deep brain stimulation: 1), and 7 to schizophrenia (ECT: 7).
The coefficients of the ECT (−1) for the 3 models are −0.49, −0.57, and −0.55, respectively.
The lagged ECT (−1) represents the long-run causality in the model; for the long-run causality, the existence error term should be negative and statistically significant.
It is obvious (Table 8) that the lagged ECT (−1) coefficient is negative and statistically significant for those models where the dependent variables are lnGDPPC, lnM2/M1, and lnDCB.
Table 8 Sectoral long-run equilibrium relationships Industrial sector Services sector LIND 1 – LSERV – 1 LELEC −0.593 (−9.76)*** −0.692 (−35.96)*** Constant −2.611 −2.774 ECT (−1) −0.215 (−2.42)** −0.104 (−1.24) The coefficients are tabulated; t values are in parentheses *** Significance at the 1 % level ** Significance at the 5%% level * Significance at the 10%% level.
The relatively high cost of ROC-sugammadex reduces its advantages during ECT [11].
They were 11.5 and 4.2 μg/mL for the sixth ECT, 11.1 and 4.5 μg/mL for the seventh ECT, and 11.4 and 4.3 μg/mL for the eighth ECT.
In an engineered connective tissue model (ECT), p63RhoGEF increased tissue stiffness and its knockdown as well as p63ΔN reduced stiffness.
We previously reported the potential benefit of a combination of ROC-sugammadex as an alternative to SCC for muscle relaxation during ECT [5, 6, 9].
In both equations, ECT t−1 captures the speed of adjustment of the variables in response to a deviation from their long-run equilibrium path.
