Lotte Lemmens, Associate Professor
Lotte’s research aims at optimising psychotherapy treatment outcomes. In various clinical studies and experiments she examines how, how long and for whom psychotherapy works. In addition, she studies whether and in what way technology (EMA/EMI) can bridge the gap between the therapist’s office and daily life. Besides her research activities, she teaches within the educational systems of Maastricht University and RINO, and as a scientist-practitioner she has a special interest in science outreach and -communication. Furthermore, she considers herself an advocate for good academic citizenship and open science. For more information about her work, see links below and/or watch this 3-minute video
Publications that I’m most proud of
Mechanisms of Change in Psychotherapy for Depression: An empirical update and evaluation of research aimed at identifying psychological mediators. Clinical Psychology Review, 2016.
Review paper in which I summarized and critically evaluated the body of literature aimed at identifying mechanisms of change of psychotherapy for depression. The transdiagnostic recommendations for methodological refinement of psychotherapy process- and outcome research that I made based on this, have been frequently cited and applied.
Interpersonal psychotherapy vs cognitive therapy for major depressive disorder: how do they work, how long and for whom? Results from a randomized trial. The American Journal of Psychotherapy, 2020.
Invited overview article in which I summarize 9 out of (by now) 23 separate publications resulting from a large-scale RCT that I have been coordinating. The trial provided important insights to the effects and mechanisms of psychotherapy for depression and resulted in the development of innovative research methods. With this paper (and its Dutch translation) I have been able to contribute to easy-access dissemination of research findings in the (inter)national psychotherapy community.
Revealing the dynamic network structure of the Beck Depression Inventory-II. Psychological Medicine, 2015.
This empirical paper on the network structure of the Beck Depression Inventory-II (BDI-II) was my first introduction to the network approach to psychopathology. It sparked my interest and turned out to be career-defining, as I have been focusing on (testing) this approach ever since (e.g., Veni and NSMD).
