SSRI Treatment Response Prediction in Depression Based on Brain Activation by Emotional Stimuli

Preuss, Antonia; Bolliger, Bianca; Schicho, Wenzel; Hättenschwiler, Josef; Seifritz, Erich; Brühl, Annette Beatrix; Herwig, Uwe

doi:10.3389/fpsyt.2020.538393

Cited by 11 publications

(11 citation statements)

References 68 publications

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“…Posterior Cingulate Cortex. Higher activation of the PCC while viewing negative faces ( Samson, 2011 ), more general negative images( Rizvi, 2013 , Preuss et al, 2020 ), and general positive images ( Preuss et al, 2020 ) was associated with response/symptomatic improvement, as was lower PCC activation in an emotion discrimination task, but only at two weeks and not four ( Spies et al, 2017 ). Irrespective of treatment outcome, longitudinal studies have reported increases in PCC activation during emotion regulation in LLD ( Khalaf, 2016 ), increases of PCC activation (normalizing relative to healthy controls) while viewing medium and high-intensity facial expressions ( Fu et al, 2015 ), and decreases in PCC activation for the negative minus neutral contrast in the emotional Stroop task ( Fu et al, 2015 ).…”

Section: Functional Predictorsmentioning

confidence: 99%

“…Anterior Cingulate Cortex. Improved treatment outcomes have been associated with higher activation of the subgenual ACC in a small study employing a gender discrimination task of sad faces ( Keedwell, 2010 ), higher activation of the pregenual ACC for sad vs. happy faces in a backward masking paradigm ( Godlewska, 2018 ), higher activation of the pregenual ACC to negative pictures ( Preuss et al, 2020 ), and lower activation in the dorsal ACC during negative word processing (small study) ( Miller, 2013 ). Additionally, activation decreases of the dorsal ACC while viewing fearful compared to happy faces one week after starting treatment predicted treatment response ( Godlewska et al, 2016 ).…”

Section: Functional Predictorsmentioning

confidence: 99%

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MRI predictors of pharmacotherapy response in major depressive disorder

Gerlach

Karim

Peciña

et al. 2022

NeuroImage: Clinical

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Section: Functional Predictorsmentioning

confidence: 99%

Section: Functional Predictorsmentioning

confidence: 99%

MRI predictors of pharmacotherapy response in major depressive disorder

Gerlach

Karim

Peciña

et al. 2022

NeuroImage: Clinical

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“…For example, as mentioned above, psychotherapy research addresses therapeutic factors that impact a target outcome of interest, such as changes of maladaptive thoughts impact depression in cognitive therapy (Kazdin, 2009 ). Comparably, medical pharmaceutical research addresses active ingredients in a given medicine that has therapeutic effects on the body, such as increased levels of serotonin in the brain through antidepressant medicine based on selective serotonin reuptake inhibitors (SSRI; Preuss et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

From Therapeutic Factors to Mechanisms of Change in the Creative Arts Therapies: A Scoping Review

et al. 2021

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Empirical studies in the creative arts therapies (CATs; i.e., art therapy, dance/movement therapy, drama therapy, music therapy, psychodrama, and poetry/bibliotherapy) have grown rapidly in the last 10 years, documenting their positive impact on a wide range of psychological and physiological outcomes (e.g., stress, trauma, depression, anxiety, and pain). However, it remains unclear how and why the CATs have positive effects, and which therapeutic factors account for these changes. Research that specifically focuses on the therapeutic factors and/or mechanisms of change in CATs is only beginning to emerge. To gain more insight into how and why the CATs influence outcomes, we conducted a scoping review (Nstudies = 67) to pinpoint therapeutic factors specific to each CATs discipline, joint factors of CATs, and more generic common factors across all psychotherapy approaches. This review therefore provides an overview of empirical CATs studies dealing with therapeutic factors and/or mechanisms of change, and a detailed analysis of these therapeutic factors which are grouped into domains. A framework of 19 domains of CATs therapeutic factors is proposed, of which the three domains are composed solely of factors unique to the CATs: “embodiment,” “concretization,” and “symbolism and metaphors.” The terminology used in change process research is clarified, and the implications for future research, clinical practice, and CATs education are discussed.

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“…Increased PCC/precuneus and middle temporal gyrus activation has been predictive of SSRI treatment response in MDD patients. 85 , 86 Taken together, activity changes in these brain regions warrant further investigation into their associations with depressive symptoms and treatment response.…”

Section: Discussionmentioning

confidence: 99%

Neuroimaging Correlates of Treatment Response with Psychedelics in Major Depressive Disorder: A Systematic Review

et al. 2022

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Preliminary evidence supports the use of psychedelics for major depressive disorder (MDD). However, less attention has been given to the neural mechanisms behind their effects. We conducted a systematic review examining the neuroimaging correlates of antidepressant response following psychedelic interventions for MDD. Through MEDLINE, Embase, and APA PsycINFO, 187 records were identified and 42 articles were screened. Six published studies and one conference abstract were included. Five ongoing trials were included from subjective outcomesTrials.gov. Our search covered several psychedelics, though included studies were specific to psilocybin, ayahuasca, and lysergic acid diethylamide. Three psilocybin studies noted amygdala activity and functional connectivity (FC) alterations that correlated with treatment response. Two psilocybin studies reported that FC changes in the medial and ventromedial prefrontal cortices correlated with treatment response. Two trials from a single study reported global decreases in brain network modularity which correlated with antidepressant response. One ayahuasca study reported increased activity in the limbic regions following treatment. Preliminary evidence suggests that the default mode and limbic networks may be a target for future research on the neural mechanisms of psychedelics. More data is required to corroborate these initial findings as the evidence summarized in this review is based on four datasets.

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SSRI Treatment Response Prediction in Depression Based on Brain Activation by Emotional Stimuli

Cited by 11 publications

References 68 publications

MRI predictors of pharmacotherapy response in major depressive disorder

MRI predictors of pharmacotherapy response in major depressive disorder

From Therapeutic Factors to Mechanisms of Change in the Creative Arts Therapies: A Scoping Review

Neuroimaging Correlates of Treatment Response with Psychedelics in Major Depressive Disorder: A Systematic Review

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