Article
Neurosciences
Raul R. Cruces, Jessica Royer, Peer Herholz, Sara Lariviere, Reinder Vos De Wael, Casey Paquola, Oualid Benkarim, Bo-yong Park, Janie Degre-Pelletier, Mark C. Nelson, Jordan DeKraker, Ilana R. Leppert, Christine Tardif, Jean -Baptiste Poline, Luis Concha, Boris C. Bernhardt
Summary: Multimodal MRI has advanced human neuroscience, but demands processing methods to integrate information. Micapipe is an open processing pipeline for multimodal MRI datasets, generating various connectomes and matrices across different spatial scales for easy replication of findings.
Article
Neurosciences
Sara Lariviere, Seyma Bayrak, Reinder Vos de Wael, Oualid Benkarim, Peer Herholz, Raul Rodriguez-Cruces, Casey Paquola, Seok-Jun Hong, Bratislav Misic, Alan C. Evans, Sofie L. Valk, Boris C. Bernhardt
Summary: Analysis and interpretation of neuroimaging datasets have become a multidisciplinary endeavor, incorporating statistical methods and associations with other brain-derived features. BrainStat is a toolbox that facilitates univariate and multivariate linear models in brain imaging datasets, as well as feature associations with gene expression, histology, fMRI meta-analysis, and resting-state fMRI motifs. This toolbox streamlines analytical processes and accelerates cross-modal research, and it is available in Python and MATLAB.
Article
Neuroimaging
Maria Gloria Rossetti, Praveetha Patalay, Scott Mackey, Nicholas B. Allen, Albert Batalla, Marcella Bellani, Yann Chye, Janna Cousijn, Anna E. Goudriaan, Robert Hester, Kent Hutchison, Chiang-Shan R. Li, Rocio Martin-Santos, Reza Momenan, Rajita Sinha, Lianne Schmaal, Zsuzsika Sjoerds, Nadia Solowij, Chao Suo, Ruth J. van Holst, Dick J. Veltman, Murat Yucel, Paul M. Thompson, Patricia Conrod, Hugh Garavan, Paolo Brambilla, Valentina Lorenzetti
Summary: Gender-related differences in the neuroanatomy of alcohol dependence were investigated, with alcohol-dependent individuals showing smaller volumes in various brain regions compared to controls. Women with alcohol dependence exhibited more pronounced differences, particularly in the cerebellum. Alcohol-dependent men had smaller amygdala volume than control men, while the effect in women was unclear. Monthly standard drinks predicted smaller amygdala and larger cerebellum GM volumes in people with alcohol dependence. These findings highlight the importance of considering gender differences in future neuroscience research on alcohol dependence.
NEUROIMAGE-CLINICAL
(2021)
Article
Automation & Control Systems
Dominique Benielli, Cecile Capponi, Sokol Koco, Hachem Kadri, Riikka Huusari, Baptiste Bauvin, Francois Laviolette
Summary: scikit-multimodallearn is a Python library for multimodal supervised learning. It is licensed under Free BSD and compatible with the well-known scikit-learn toolbox. This paper provides a detailed description of the library, including specific multimodal data formatting and classification and regression algorithms. Use cases and examples are also provided.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Article
Biology
Casey Paquola, Jessica Royer, Lindsay B. Lewis, Claude Lepage, Tristan Glatard, Konrad Wagstyl, Jordan DeKraker, Paule-J Toussaint, Sofie L. Valk, Louis Collins, Ali R. Khan, Katrin Amunts, Alan C. Evans, Timo Dickscheid, Boris Bernhardt
Summary: This paper introduces a toolbox called "BigBrainWarp" aimed at simplifying the workflow of integrating histological atlases of the human brain with multi-modal neuroimaging and promoting the adoption of best practices. The toolbox provides a simple wrapper function for users to easily map data between BigBrain and standard MRI spaces, automatically pulling specialized transformation procedures based on a wide collaborative network of researchers to support multi-scale brain organization investigations.
Article
Substance Abuse
Claire Adams, Nina Perry, James Conigrave, Tristan Hurzeler, Julia Stevens, Kristiane Yacou P. Dunbar, Alicia Sweeney, Kylie Lee, Greg Sutherland, Paul Haber, Kirsten C. Morley
Summary: There is emerging evidence that heavy long-term alcohol consumption may alter the neuroimmune profile. This study conducted a meta-analysis to explore the association between alcohol use disorder (AUD) and the extent of neuroinflammation using cerebrospinal (CSF), PET (Positron Emission Tomography), and postmortem studies. The results suggest that alcohol impacts neuroimmune signaling in the human brain.
ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH
(2023)
Article
Neurosciences
Xi Zhu, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Shay Arnon, Ari L. Lowell, Maja Bergman, Matthew Ryba, Allan J. Hamilton, Jane F. Hamilton, J. Blake Turner, John C. Markowitz, Prudence W. Fisher, Yuval Neria
Summary: This study demonstrates that Equine-assisted therapy (EAT) can induce functional and structural changes in the brains of patients with PTSD, particularly in the caudate. Higher baseline caudate functional connectivity (FC) is associated with greater reduction in PTSD symptoms post-treatment.
HUMAN BRAIN MAPPING
(2021)
Article
Statistics & Probability
Yingtian Hu, Mahmoud Zeydabadinezhad, Longchuan Li, Ying Guo
Summary: Recent advancements in multimodal neuroimaging have provided unprecedented opportunities to study brain development. This study used dMRI and fMRI imaging datasets to investigate the developmental changes in both structural and functional brain connectomes. The researchers developed a multimodal multilevel model (MMM) to address the challenges in multimodal connectivity analysis and discovered new insights into neurodevelopment during adolescence.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2022)
Article
Neurosciences
Xavier Navarri, Mohammad H. Afzali, Jacob Lavoie, Rajita Sinha, Dan J. Stein, Reza Momenan, Dick J. Veltman, Ozlem Korucuoglu, Zsuzsika Sjoerds, Ruth J. van Holst, Rob Hester, Catherine Orr, Janna Cousijn, Murat Yucel, Valentina Lorenzetti, Reinout Wiers, Neda Jahanshad, David C. Glahn, Paul M. Thompson, Scott Mackey, Patricia J. Conrod
Summary: Alcohol use disorder (AUD) and cannabis use disorder (CUD) are associated with significant brain alterations, particularly in subcortical and cortical regions. The brain abnormalities in AUD are comparable to or larger than those found in other psychiatric disorders, while CUD is most strongly related to reduced cortical thickness in the medial orbitofrontal cortex.
HUMAN BRAIN MAPPING
(2022)
Review
Endocrinology & Metabolism
Manon Dubol, C. Neill Epperson, Julia Sacher, Belinda Pletzer, Birgit Derntl, Rupert Lanzenberger, Inger Sundstrom-Poromaa, Erika Comasco
Summary: Increasing evidence suggests that ovarian hormones influence the brain structure, chemistry, and function of women in their reproductive age, potentially shaping their behavior and mental health. Specifically, these hormones fluctuations appear to have modulatory effects on the reactivity and structure of cortico-limbic brain regions.
FRONTIERS IN NEUROENDOCRINOLOGY
(2021)
Article
Computer Science, Information Systems
Vivek K. Singh, Isha Ghosh, Darshan Sonagara
Summary: This study proposes a multimodal approach combining text and visual analysis to automatically detect fake news, demonstrating the superiority of multimodal methods in fake news detection.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2021)
Review
Clinical Neurology
Mohamad Abdalkader, James E. Siegler, Jin Soo Lee, Shadi Yaghi, Zhongming Qiu, Xiaochuan Huo, Zhongrong Miao, Bruce C. V. Campbell, Thanh N. Nguyen
Summary: Advances in acute ischemic stroke treatment are dependent on innovations in neuroimaging. Neuroimaging plays a pivotal role in the diagnosis and prognosis of ischemic stroke, enabling triage decisions in emergent care. Current imaging protocols depend on resources and clinicians' preferences, and guidelines have lagged behind the rapidly growing evidence for selecting patients for treatment. This review discusses various imaging modalities and approaches used in the diagnosis and treatment of acute ischemic stroke.
Article
Neurosciences
Danilo Pena, Jessika Suescun, Mya Schiess, Timothy M. Ellmore, Luca Giancardo
Summary: Alzheimer's disease is a progressive neurodegenerative disorder that affects memory and executive function. Mild cognitive impairment patients have a high chance of converting to Alzheimer's disease, making it important to develop computer-assisted diagnosis systems to monitor these patients. This study proposes a computationally efficient method using longitudinal data to identify the conversion point.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Chemistry, Analytical
Yifan Feng, Cheng Chen, Shuxian Liu, Bingyu Dong, Yongzi Yu, Chen Chen, Xiaoyi Lv
Summary: This paper applies serum Raman spectra and a deep learning algorithm to diagnose alcohol dependence and constructs an innovative diagnostic framework. The results show that it is feasible to use Raman spectroscopy combined with a deep learning algorithm for diagnosing alcohol dependence, with a sensitivity of 81.82% and a specificity of 100%. The distance feature performs better compared to directly using the deep learning model.
MICROCHEMICAL JOURNAL
(2023)
Article
Biology
Yuheng Wang, Jiayue Cai, Daniel C. Louie, Z. Jane Wang, Tim K. Lee
Summary: The study introduces a novel framework for malignant melanoma detection by combining clinical images and dermoscopic images. By incorporating clinical domain knowledge, the system achieved higher accuracy in automated melanoma detection compared to existing methods.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Psychology, Clinical
Seda Sacu, Carolin Wackerhagen, Susanne Erk, Nina Romanczuk-Seiferth, Kristina Schwarz, Janina Schweiger, Heike Tost, Andreas Meyer-Lindenberg, Andreas Heinz, Adeel Razi, Henrik Walter
Summary: Aberrant brain connectivity during emotional processing is a hallmark of major depressive disorder. This study investigates the specific alterations in brain connectivity and establishes a refined neural model of emotion processing in depression.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Psychology, Clinical
Antje Riepenhausen, Ilya M. Veer, Carolin Wackerhagen, Zala C. Reppmann, Goeran Koeber, Jose Luis Ayuso-Mateos, Sophie A. Bogemann, Giovanni Corrao, Mireia Felez-Nobrega, Josep Maria Haro Abad, Erno Hermans, Judith van Leeuwen, Klaus Lieb, Vincent Lorant, Murielle Mary-Krause, Roberto Mediavilla, Maria Melchior, Ellenor Mittendorfer-Rutz, Matteo Monzio Compagnoni, Kuan-Yu Pan, Lara Puhlmann, Karin Roelofs, Marit Sijbrandij, Pierre Smith, Oliver Tuescher, Anke Witteveen, Matthias Zerban, Raffael Kalisch, Hannes Kroeger, Henrik Walter
Summary: This study identified several psychological risk and protective factors related to psychological distress outcomes during the COVID-19 pandemic. The relevance of longitudinal assessments and the implications for targeted prevention and intervention programs during highly stressful times were discussed.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Neurosciences
Yan Sun, Tianye Jia, Edward D. Barker, Di Chen, Zuo Zhang, Jiayuan Xu, Suhua Chang, Guangdong Zhou, Yun Liu, Nicole Tay, Qiang Luo, Xiao Chang, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H. Froehner, Michael N. Smolka, Henrik Walter, Robert Whelan, Lin Lu, Jie Shi, Gunter Schumann, Sylvane Desrivieres
Summary: Negative life events (NLEs) increase the risk for externalizing behaviors (EBs) and internalizing behaviors (IBs). DNA methylation associated with behavioral problems may reflect this risk and long-lasting effects of NLEs.
BIOLOGICAL PSYCHIATRY
(2023)
Article
Psychology, Developmental
Helene Vulser, Herve S. Lemaitre, Stella Guldner, Pauline Bezivin-Frere, Martin Loffler, Anna S. Sarvasmaa, Jessica Massicotte-Marquez, Eric Artiges, Marie-Laure Paillere Martinot, Irina Filippi, Ruben Miranda, Argyris Stringaris, Betteke Maria van Noort, Jani Penttila, Yvonne Grimmer, Andreas Becker, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivieres, Juliane H. Frohner, Hugh Garavan, Antoine Grigis, Penny A. Gowland, Andreas Heinz, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael N. Smolka, Philip A. Spechler, Henrik Walter, Robert Whelan, Gunter Schumann, Herta Flor, Jean-Luc Martinot, Frauke Nees
Summary: Adolescence is a critical period for circadian rhythm, with a shift toward eveningness. Eveningness in adolescence predicts later onset of depressive symptoms. This study investigates the structural variations associated with chronotype in early adolescence and its contribution to the development of depressive symptoms.
JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
(2023)
Article
Psychology, Developmental
Anouk Francine Jacqueline Geraets, Andreas Heinz
Summary: This study aimed to investigate the clustering of dietary habits among adolescents and their associations with health, well-being, and behavior outcomes. The findings suggest that healthy dietary habits are associated with positive health and behavior, while unhealthy dietary habits are associated with health problems and risk behavior.
CHILD CARE HEALTH AND DEVELOPMENT
(2023)
Review
Clinical Neurology
Felicia Boma Lazaridou, Saskia J. Schubert, Tobias Ringeisen, Jakob Kaminski, Andreas Heinz, Ulrike Kluge
Summary: This study examines whether racialized migrant groups are more susceptible to racism and have a higher risk of psychosis. Through an umbrella review and qualitative interviews, the study finds that the risk of mental health issues and psychotic experiences is related to racism experienced by minority groups and migrants.
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
(2023)
Article
Clinical Neurology
Michael Strupf, Maren Wiechers, Malek Bajbouj, Kerem Boege, Carine Karnouk, Stephan Goerigk, Inge Kamp-Becker, Tobias Banaschewski, Michael Rapp, Alkomiet Hasan, Peter Falkai, Andrea Jobst-Heel, Ute Habel, Thomas Stamm, Andreas Heinz, Andreas Hoell, Max Burger, Tilmann Bunse, Edgar Hoehne, Nassim Mehran, Franziska Kaiser, Eric Hahn, Paul Plener, Aline Uebleis, Frank Padberg
Summary: Research on outcome predictors in transcultural treatment for refugees and asylum seekers is limited. This study aimed to evaluate predictors of outcome for a group intervention (Empowerment) in RAS with affective disorders. The severity of depression and perceived self-efficacy at baseline were found to be predictors of symptom improvement in the Empowerment treatment.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Biochemistry & Molecular Biology
Alice Chavanne, Marie Laure Paillere Martinot, Jani Penttilae, Yvonne Grimmer, Patricia Conrod, Argyris Stringaris, Betteke van Noort, Corinna Isensee, Andreas Becker, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivieres, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Ruediger Bruehl, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Sarah S. Hohmann, Sabina Millenet, Juliane Froehner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Jean-Luc Martinot, Eric Artiges
Summary: Recent studies have found MRI correlates of prospective anxiety symptoms in youth, but their predictive value is still uncertain. This study used machine-learning algorithms to predict clinical anxiety using MRI data and psychometric scores. The results showed that psychometric features were the main predictors for overall anxiety disorders, while MRI regional volumes were more valuable for predicting GAD. In conclusion, future clinical anxiety in non-anxious 14-year-old adolescents can be individually predicted using psychometric features, and including neuroanatomical data improves the prediction of GAD.
MOLECULAR PSYCHIATRY
(2023)
Article
Biochemistry & Molecular Biology
Roberto Pagano, Ahmad Salamian, Janusz Zielinski, Anna Beroun, Maria Nalberczak-Skora, Edyta Skonieczna, Anna Caly, Nicole Tay, Tobias Banaschewski, Sylvane Desrivieres, Antoine Grigis, Hugh Garavan, Andreas Heinz, Ruediger Bruehl, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Juliane H. Froehner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Katarzyna Kalita, Haruhiko Bito, Christian P. Mueller, Gunter Schumann, Hiroyuki Okuno, Kasia Radwanska
Summary: Alcohol use disorder (AUD) is a chronic and fatal disease with a high likelihood of relapse. This study identifies a mechanism involving the activity-regulated cytoskeleton-associated protein (Arc)/ARG3.1-dependent plasticity of amygdala synapses that selectively controls cue-induced alcohol relapse and AUD symptoms. In humans, single nucleotide polymorphisms and methylation in the ARC gene were associated with amygdala size and frequency of alcohol use, even at the onset of regular consumption. Targeting Arc during alcohol cue exposure may provide a new approach for relapse prevention.
MOLECULAR PSYCHIATRY
(2023)
Article
Computer Science, Interdisciplinary Applications
Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kumaran Kalyanaraman, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivieres, Meera Purushottam, Dimitri Papadopoulos Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rudiger Bruhl, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Tomas Paus, Luise Poustka, Juliane H. Frohner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun
Summary: With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrained independent component analysis (ICA) that is used to link brain network abnormalities among different datasets, studies, and disorders while leveraging subject-specific networks.
Article
Substance Abuse
Rene Freichel, Janine Pfirrmann, Janna Cousjin, Peter de Jong, Ingmar Franken, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivieres, Herta Flor, Antoine Grigis, Hugh Garavan, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah H. Hohmann, Juliane N. Froehner, Michael Smolka, Nilakshi Vaidya, Robert Whelan, Gunter Schumann, Henrik M. Walter, Ilya W. Veer, Reinout Wiers
Summary: This study aims to examine the dynamic associations between distal and proximal risk factors (personality traits, life stressors, and drinking motives) and their relationship with alcohol use in adolescence and early adulthood. The findings suggest that heavy and frequent alcohol use, along with social drinking motives, are key targets for preventing alcohol-related problems during late adolescence. However, there was no evidence found for personality traits and life stressors predisposing towards distinct drinking motives over time.
Article
Psychiatry
Andreas Bechdolf, Hendrik Mueller, Martin Hellmich, Walter de Millas, Peter Falkai, Wolfgang Gaebel, Juergen Gallinat, Alkomiet Hasan, Andreas Heinz, Birgit Janssen, Georg Juckel, Anne Karow, Seza Krueger-Oezguerdal, Martin Lambert, Wolfgang Maier, Andreas Meyer-Lindenberg, Verena Putzfeld, Franziska Rausch, Frank Schneider, Hartmut Stuetzer, Thomas Wobrock, Michael Wagner, Mathias Zink, Joachim Klosterkotter
Summary: This study compared the effectiveness of Cognitive-Behavioral Therapy (CBT) and Second-Generation Antipsychotics (SGAs) as the first-line treatments for individuals at clinical high risk for psychosis (CHRp). The results showed that neither CBT nor SGAs had significant advantages over the placebo in preventing the transition to psychosis. Therefore, low-dose aripiprazole and CBT did not offer additional benefits over clinical management and placebo.
SCHIZOPHRENIA BULLETIN
(2023)
Article
Psychiatry
Wladimir Tantchik, Melissa J. Green, Yann Quide, Susanne Erk, Sebastian Mohnke, Carolin Wackerhagen, Nina Romanczuk-Seiferth, Heike Tost, Kristina Schwarz, Carolin Moessnang, Danilo Bzdok, Andreas Meyer-Lindenberg, Andreas Heinz, Henrik Walter
Summary: This study aimed to replicate previous findings of mentalizing impairment and altered neural responses in schizophrenia, and to investigate its association with domain-general cognitive impairment. The results showed no significant group differences in mentalizing network activation between schizophrenia patients and healthy controls. Verbal intelligence was found to be positively associated with activation of the medial prefrontal cortex, a key region of the mentalizing network. This suggests that verbal intelligence is an important confounding variable in group comparisons and should be considered in future studies on the neural correlates of mentalizing dysfunction in schizophrenia.
SCHIZOPHRENIA RESEARCH
(2023)
Article
Neurosciences
Narges Chinichian, Johann D. Kruschwitz, Pablo Reinhardt, Maximilian Palm, Sarah A. Wellan, Susanne Erk, Andreas Heinz, Henrik Walter, Ilya M. Veer
Summary: We propose an intuitive and computationally efficient method to measure dynamic reconfiguration of brain regions, termed flexibility. Our method is based on a pre-defined set of biologically plausible brain modules and does not rely on data-driven module estimation, reducing computational burden. By measuring the change of affiliation of brain regions over time, we can assess the flexibility of brain networks. Our results demonstrate that our method produces similar patterns of whole-brain network reconfiguration compared to a more computationally expensive data-driven method, indicating its validity and efficiency in estimating whole-brain flexibility and analyzing biologically plausible brain networks at a finer scale.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Substance Abuse
Panagiotis Stylianopoulos, Laura Hertner, Ingo Schafer, Andreas Heinz, Simone Penka
Summary: This study aimed to investigate the application of existing good practice strategies for reaching and caring for refugees in addiction services. The results showed that many strategies were not effectively implemented, highlighting the need for further efforts in this area.
SUCHT-ZEITSCHRIFT FUR WISSENSCHAFT UND PRAXIS
(2023)