Stephanie Homan

ORCID: 0000-0003-1449-7508
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Suicide and Self-Harm Studies
  • Schizophrenia research and treatment
  • Advanced Neuroimaging Techniques and Applications
  • Digital Mental Health Interventions
  • Transcranial Magnetic Stimulation Studies
  • Mental Health Treatment and Access
  • Psychosomatic Disorders and Their Treatments
  • Behavioral Health and Interventions
  • Neuroscience and Music Perception
  • EEG and Brain-Computer Interfaces
  • Treatment of Major Depression
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Hemispheric Asymmetry in Neuroscience
  • Sleep and Wakefulness Research
  • Health Systems, Economic Evaluations, Quality of Life
  • Obsessive-Compulsive Spectrum Disorders
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Bipolar Disorder and Treatment
  • Resilience and Mental Health
  • Attention Deficit Hyperactivity Disorder
  • Retinal Imaging and Analysis
  • Neurological disorders and treatments
  • Health Policy Implementation Science

University Hospital of Zurich
2019-2025

University of Zurich
2019-2025

ETH Zurich
2022-2025

National Institute of Mental Health
2025

SUNY Upstate Medical University
2025

University Psychiatric Hospital
2021-2023

University of St. Gallen
2022

Ghent University Hospital
2022

University of Rochester
2022

KU Leuven
2022

Abstract Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying layout. We tested large-scale structural in schizophrenia relate to normative and functional connectome architecture, systematically evaluated robustness generalizability of network-level alterations. Leveraging anatomical MRI scans from 2439 adults 2867 healthy controls 26 ENIGMA sites data...

10.1038/s41380-024-02442-7 article EN cc-by Molecular Psychiatry 2024-02-09
Yuchao Jiang Cheng Luo Jijun Wang Lena Palaniyappan Xiao Chang and 95 more Shitong Xiang Jie Zhang Mingjun Duan Huan Huang Christian Gaser Kiyotaka Nemoto Kenichiro Miura Ryota Hashimoto Lars T. Westlye Geneviève Richard Sara Fernández‐Cabello Nadine Parker Ole A. Andreassen Tilo Kircher Igor Nenadić Frederike Stein Florian Thomas‐Odenthal Lea Teutenberg Paula Usemann Udo Dannlowski Tim Hahn Dominik Grotegerd Susanne Meinert Rebekka Lencer Yingying Tang Tianhong Zhang Chunbo Li Weihua Yue Yuyanan Zhang Xin Yu Enpeng Zhou Ching‐Po Lin Shih‐Jen Tsai Amanda Rodrigue David C. Glahn Godfrey D. Pearlson John Blangero Andriana Karuk Edith Pomarol‐Clotet Raymond Salvador Paola Fuentes‐Claramonte María Ángeles García‐León Gianfranco Spalletta Fabrizio Piras Daniela Vecchio Nerisa Banaj Jingliang Cheng Zhening Liu Jie Yang Ali Saffet Gönül Özgül Uslu Birce Begum Burhanoglu Aslihan Uyar-Demir Kelly Rootes-Murdy Vince D. Calhoun Kang Sim Melissa J. Green Yann Quidé Young‐Chul Chung Woo‐Sung Kim Scott R. Sponheim Caroline Demro Ian S. Ramsay Felice Iasevoli Andrea de Bartolomeis Annarita Barone Mariateresa Ciccarelli Arturo Brunetti Sirio Cocozza Giuseppe Pontillo Mario Tranfa Min Tae M Park Matthias Kirschner Foivos Georgiadis Stefan Kaiser Tamsyn E. Van Rheenen Susan L. Rossell Matthew Hughes Will Woods Sean P. Carruthers Philip Sumner Elysha Ringin Filip Španiel Antonín Škoch David Tomeček Philipp Homan Stephanie Homan Wolfgang Omlor Giacomo Cecere Dana D. Nguyen Adrian Preda Sophia I. Thomopoulos Neda Jahanshad Long‐Biao Cui Dezhong Yao

Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts the ENIGMA, non-ENIGMA public datasets. Using Subtype Stage Inference (SuStaIn) algorithm, identify two distinct neurostructural subgroups by mapping spatial temporal ‘trajectory’ gray matter change in...

10.1038/s41467-024-50267-3 article EN cc-by Nature Communications 2024-07-17

Importance As an accessible part of the central nervous system, retina provides a unique window to study pathophysiological mechanisms brain disorders in humans. Imaging and electrophysiological studies have revealed retinal alterations across several neuropsychiatric neurological disorders, but it remains largely unclear which specific cell types biological are involved. Objective To determine whether affected by genomic risk for explore through converges these types. Design, Setting,...

10.1001/jamapsychiatry.2024.4230 article EN JAMA Psychiatry 2025-01-08

Negative symptoms in schizophrenia remain a challenge with limited therapeutic strategies. The novel compound RG7203 promotes reward learning via dopamine D1-dependent signaling and therefore holds promise, especially to improve the apathy dimension of negative symptoms. When tested as add-on antipsychotic medication, did not change significantly versus placebo. However, response varied across patients, subset showed clinically relevant improvement apathy. It remains unclear if these...

10.1186/s12916-025-04004-2 article EN cc-by-nc-nd BMC Medicine 2025-03-28

Each year, more than 800,000 persons die by suicide, making it a leading cause of death worldwide. Recent innovations in information and communication technology may offer new opportunities suicide prevention individuals, hereby potentially reducing this number. In our project, we design digital indices based on both self-reports passive mobile sensing test their ability to predict suicidal ideation, major predictor for psychiatric hospital readmission high-risk individuals: patients after...

10.3389/fpsyt.2021.554811 article EN cc-by Frontiers in Psychiatry 2021-07-01

Formal thought disorder (FTD) is a clinical key factor in schizophrenia, but the neurobiological underpinnings remain unclear. In particular, relationship between FTD symptom dimensions and patterns of regional brain volume loss schizophrenia remains to be established large cohorts. Even less known about cellular basis FTD. Our study addresses these major obstacles by enrolling multi-site cohort acquired ENIGMA Schizophrenia Working Group (752 patients 1256 controls), unravel neuroanatomy...

10.1038/s41380-024-02563-z article EN cc-by Molecular Psychiatry 2024-04-26

Digital tools assessing momentary parameters and offering interventions in people's daily lives play an increasingly important role mental health research treatment. Ecological assessment (EMA) makes it possible to assess transient states their parameters. (EMIs) offer that fit well into individuals' routines. Self-efficacy is a transdiagnostic construct commonly associated with positive outcomes.

10.2196/45749 article EN cc-by JMIR Formative Research 2023-06-07

Self-efficacy is associated with positive mental health outcomes. We developed and tested a digital self-efficacy training for daily recall of autobiographical memories (e.g., successfully overcoming personal challenge).

10.1371/journal.pone.0305103 article EN cc-by PLoS ONE 2024-10-31

Multiple symptoms of suicide risk have been assessed based on visual and auditory information, including flattened affect, reduced movement, slowed speech. Objective quantification such symptomatology from novel data sources can increase the sensitivity, scalability, timeliness assessment.

10.2196/25199 article EN cc-by Journal of Medical Internet Research 2021-03-17

Abstract Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, whether this was clinical characteristics a prospective meta-analytic study conducted by the ENIGMA Working Group. The included data from 26 cohorts worldwide, total 2803 patients (mean age 34.2 years; range 18-72 67% male) 2598 healthy controls 33.8 years, 18-73 55%...

10.1101/2022.01.10.21267840 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-01-11

Perceived responsiveness, or the extent to which one feels understood, validated and cared for by close others, plays a crucial role in people's well-being. Can this interpersonal process also protect people at risk? We assessed whether fluctuations suicidal ideation were associated with degree of perceived responsiveness that psychiatric patients (admitted context suicide indicating ideation) experienced daily interactions immediately after discharge.

10.1111/sltb.13095 article EN cc-by-nc-nd Suicide and Life-Threatening Behavior 2024-06-01

Abstract While schizophrenia is considered a prototypical network disorder characterized by widespread brain-morphological alterations, it still remains unclear whether distributed structural alterations robustly reflect underlying layout. Here, we tested large-scale in relate to normative and functional connectome architecture, systematically evaluated robustness generalizability of these network-level alterations. Leveraging anatomical MRI scans from 2,439 adults with 2,867 healthy...

10.1101/2023.02.12.527904 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2023-02-13

Slow-wave sleep (SWS) has been shown to promote long-term consolidation of episodic memories in hippocampo–neocortical networks. Previous research aimed modulate cortical slow-waves and spindles facilitate memory consolidation. Here, we instead hippocampal activity during slow-wave using transcranial direct current stimulation 18 healthy humans. A pair-associate task was used evaluate sleep-dependent with face–occupation stimuli. Pre- post-nap retrieval assessed as a measure performance....

10.3390/brainsci11040410 article EN cc-by Brain Sciences 2021-03-24

Formal thought disorder (FTD) is a key clinical factor in schizophrenia, but the neurobiological underpinnings remain unclear. In particular, relationship between FTD symptom dimensions and patterns of regional brain volume deficiencies schizophrenia to be established large cohorts. Even less known about cellular basis FTD. Our study addresses these major obstacles based on multi-site cohort through ENIGMA Schizophrenia Working Group (752 individuals with 1256 controls), unravel neuroanatomy...

10.21203/rs.3.rs-3179362/v1 preprint EN cc-by Research Square (Research Square) 2023-09-28
Yuchao Jiang Cheng Luo Jijun Wang Lena Palaniyappan Xiao Chang and 95 more Shitong Xiang Jie Zhang Mingjun Duan Huan Huang Christian Gaser Kiyotaka Nemoto Kenichiro Miura Ryota Hashimoto Lars T. Westlye Geneviève Richard Sara Fernández‐Cabello Nadine Parker Ole A. Andreassen Tilo Kircher Igor Nenadić Frederike Stein Florian Thomas‐Odenthal Lea Teutenberg Paula Usemann Udo Dannlowski Tim Hahn Dominik Grotegerd Susanne Meinert Rebekka Lencer Yingying Tang Tianhong Zhang Chunbo Li Weihua Yue Yuyanan Zhang Xin Yu Enpeng Zhou Ching‐Po Lin Shih‐Jen Tsai Amanda Rodrigue David C. Glahn Godfrey D. Pearlson John Blangero Andriana Karuk Edith Pomarol‐Clotet Raymond Salvador Paola Fuentes‐Claramonte María Ángeles García‐León Gianfranco Spalletta Fabrizio Piras Daniela Vecchio Nerisa Banaj Jingliang Cheng Zhening Liu Jie Yang Ali Saffet Gönül Özgül Uslu Birce Begum Burhanoglu Aslihan Uyar-Demir Kelly Rootes-Murdy Vince D. Calhoun Kang Sim Melissa J. Green Yann Quidé Young‐Chul Chung Woo‐Sung Kim Scott R. Sponheim Caroline Demro Ian S. Ramsay Felice Iasevoli Andrea de Bartolomeis Annarita Barone Mariateresa Ciccarelli Arturo Brunetti Sirio Cocozza Giuseppe Pontillo Mario Tranfa Min Tae M Park Matthias Kirschner Foivos Georgiadis Stefan Kaiser Tamsyn E. Van Rheenen Susan L. Rossell Matthew Hughes Will Woods Sean P. Carruthers Philip Sumner Elysha Ringin Filip Španiel Antonín Škoch David Tomeček Philipp Homan Stephanie Homan Wolfgang Omlor Giacomo Cecere Dana D. Nguyen Adrian Preda Sophia I. Thomopoulos Neda Jahanshad Long‐Biao Cui Dezhong Yao

Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared clinical and biological foundations, presenting a crucial step toward establishing biologically mental disorders. With the goal identifying disease progression in schizophrenia, here we analyzed cross-sectional brain structural magnetic resonance imaging (MRI) data from 4,291 individuals with schizophrenia (1,709 females, age=32.5 years±11.9) 7,078 healthy controls (3,461 age=33.0 years±12.7)...

10.1101/2023.10.11.23296862 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-10-12

Background. The observation that some patients appear to respond better antidepressants for depression than others encourages the assumption effect of differs between individuals and treatment can be personalized. To test this assumption, we compared outcome variance in group receiving with placebo randomized controlled trials (RCTs) adults major depressive disorder (MDD). An increased antidepressant would indicate individual differences response antidepressants. In addition, illustrate a...

10.31234/osf.io/m4aqc preprint EN 2019-09-25

Objective: Self-efficacy is associated with positive mental health outcomes. We developed and tested a digital self-efficacy training for daily recall of autobiographical memories (e.g., successfully overcoming personal challenge).Method: In this randomized controlled trial, we investigated the effects week-long on key outcomes, including anxiety, stress, hopelessness, in 93 university students (mean age 23.3 years, SD: 3.49) elevated self-reported stress levels. Participants completed...

10.31234/osf.io/hkwm9 preprint EN 2022-03-28

This study investigates the role of positive cognitive reappraisal (PCR) flexibility and variability in mental health response to real-life stressors among college students. We employed ecological momentary assessment intervention through ReApp, a mobile app designed train promote PCR. analyzed data from groups across three randomized trials with total 163 participants who used ReApp for either one or weeks. Stressors due problems, uncomfortable environment (e.g., rainy weather, crowded...

10.31219/osf.io/m2ujw preprint EN 2024-07-16
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