Why Does Psychotherapy Work and for Whom? Hormonal Answers by Susanne Fischer, Sigal Zilcha-Mano

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Disentangling Trait-Like Between-Individual vs. State-Like Within-Individual Effects in Studying the Mechanisms of Change in CBT by Sigal Zilcha-Mano, Christian A. Webb

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Digital twins and the future of precision mental health by Michael Spitzer, Itai Dattner, Sigal Zilcha-Mano

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Investigating movement synchrony in therapeutic settings using socially interactive agents: an experimental toolkit by Janet Wessler, Patrick Gebhard, Sigal Zilcha-Mano

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Inter-brain plasticity as a biological mechanism of change in psychotherapy: A review and integrative model by Haran Sened, Sigal Zilcha-Mano, Simone Shamay-Tsoory

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Cognitive Function and Participation of Stroke Survivors Living With Companion Animals: A Cross-Sectional Study by Naor Demeter, Sigal Zilcha-Mano, Sandra Zukerman, Naomi Josman

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If you believe that breaking is possible, believe also that fixing is possible: a framework for ruptures and repairs in child psychotherapy by Aviv Nof, Liat Leibovich, Judith Harel, Sigal Zilcha-Mano

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Identifying the most suitable treatment for depression based on patients’ attachment: study protocol for a randomized controlled trial of supportive-expressive vs. supportive treat... by Sigal Zilcha-Mano, Tohar Dolev, Liat Leibovich, Jacques P. Barber

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Psychotherapists’ Acceptance of Telepsychotherapy: A Machine Learning Approach by V. Békés, K. Aafjes-Van Doorn, S. Zilcha-Mano, T. Prout, L. Hoffman

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Patient and Therapist In-Session Cortisol as Predictor of Post-Session Patient Reported Affect by Eyal Levi, Susanne Fischer, Hadar Fisher, Roee Admon, Sigal Zilcha-Mano

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Not Just Nonspecific Factors: The Roles of Alliance and Expectancy in Treatment, and Their Neurobiological Underpinnings by Sigal Zilcha-Mano, Steven P. Roose, Patrick J. Brown, Bret R. Rutherford

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Integrating exploration and prediction in computational psychotherapy science: proof of concept by Hadar Fisher, Suzannah J. Stone, Sigal Zilcha-Mano, Pavel Goldstein, Timothy Anderson

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Proof of Concept of the Contribution of the Interaction between Trait-like and State-like Effects in Identifying Individual-Specific Mechanisms of Action in Biological Psychiatry by Sigal Zilcha-Mano, Nili Solomonov, Jonathan E. Posner, Steven P. Roose, Bret R. Rutherford

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Can Machine Learning Approaches Lead Toward Personalized Cognitive Training? by Reut Shani, Reut Shani, Shachaf Tal, Sigal Zilcha-Mano, Hadas Okon-Singer, Hadas Okon-Singer

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Investigating patient-specific mechanisms of change in SET vs. EFT for depression: study protocol for a mechanistic randomized controlled trial by Sigal Zilcha-Mano, Ben Shahar, Hadar Fisher, Tohar Dolev-Amit, Leslie S. Greenberg, Jacques P. Barber

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Development and evaluation of the HRSD-D, an image-based digital measure of the Hamilton rating scale for depression by Adi Berko, Avigail Bar-Sella, Hadar Fisher, Michael Sobolev, J. P. Pollak, Sigal Zilcha-Mano

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Reversed patterns of resting state functional connectivity for females vs. males in posttraumatic stress disorder by Liat Helpman, Xi Zhu, Sigal Zilcha-Mano, Benjamin Suarez-Jimenez, Amit Lazarov, Bret Rutherford, Yuval Neria

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Psychological Impact of Coronavirus Disease 2019 Among Italians During the First Week of Lockdown by Mariagrazia Di Giuseppe, Sigal Zilcha-Mano, Tracy A. Prout, John Christopher Perry, Graziella Orrù, Ciro Conversano

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Who benefits most from expectancy effects? A combined neuroimaging and antidepressant trial in depressed older adults by Sigal Zilcha-Mano, Meredith L. Wallace, Patrick J. Brown, Joel Sneed, Steven P. Roose, Bret R. Rutherford

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Correction to: Who benefits most from expectancy effects? A combined neuroimaging and antidepressant trial in depressed older adults by Sigal Zilcha-Mano, Meredith L. Wallace, Patrick J. Brown, Joel Sneed, Steven P. Roose, Bret R. Rutherford

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