Review
Clinical Neurology
Marco Cavicchioli, Anna Ogliari, Cesare Maffei, Clara Mucci, Georg Northoff, Andrea Scalabrini
Summary: This study aims to conduct a meta-analytic review of neural responses to emotional stimuli among individuals with dissociative spectrum disorders. The results showed a common neural feature capturing an implicit appraisal of emotion-eliciting stimuli as threatening and/or noxious, along with painful subjective experiences associated with physiological emotional reactions. Specific brain responses across the different disorders indicated the engagement in different mechanisms to address emotional stimuli, including avoidance reactions and attempts to overcontrol affective states.
PSYCHIATRY AND CLINICAL NEUROSCIENCES
(2023)
Article
Psychiatry
Camilla L. Nord, Rebecca P. Lawson, Tim Dalgleish
Summary: A meta-analysis identified disrupted activation in the left dorsal mid-insula as a potential neural marker of psychopathology in various psychiatric disorders. This suggests a common neural locus for transdiagnostic differences in interoceptive processing, indicating the mid-insula as a possible target for novel interventions.
AMERICAN JOURNAL OF PSYCHIATRY
(2021)
Article
Biochemistry & Molecular Biology
Iman Sadeghi, Juan D. Gispert, Emilio Palumbo, Manuel Munoz-Aguirre, Valentin Wucher, Valeria D'Argenio, Gabriel Santpere, Arcadi Navarro, Roderic Guigo, Natalia Vilor-Tejedor
Summary: This study examines the transcriptome-wide characterization of neurodegenerative and neuropsychiatric disorders (ND-NPs) and identifies shared and specific gene expression alterations in the brain. The analysis reveals transcriptome similarities between different disorders and highlights coordinated dysregulations in cell-type-specific modules across NDs and NPs.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Psychiatry
Frank van den Boogert, Katharina Klein, Pascalle Spaan, Bram Sizoo, Yvonne H. A. Bouman, Witte J. G. Hoogendijk, Sabine J. Roza
Summary: Many individuals with psychiatric disorders experience difficulties in sensory processing. This meta-analysis examined the sensory processing patterns of adolescent and adult individuals with different psychiatric conditions. The findings suggest that sensory processing difficulties are a non-specific transdiagnostic phenotype associated with a broad spectrum of psychiatric disorders.
JOURNAL OF PSYCHIATRIC RESEARCH
(2022)
Article
Biochemistry & Molecular Biology
Wai Hoong Chang, Alvina G. Lai
Summary: Cancer patients experience considerable psychological distress, with depression being the most common psychiatric disorder. Chemotherapy, radiotherapy, and surgery increase the burden of psychiatric disorders, especially alkylating agent chemotherapeutics. All mental illnesses are associated with an increased risk of subsequent self-harm, with the highest risk occurring within 12 months of diagnosis. Patients who harm themselves are at a significantly higher risk of dying from unnatural causes within the first 12 months.
Article
Substance Abuse
Abdel Abdellaoui, Dirk J. A. Smit, Wim van den Brink, Damiaan Denys, Karin J. H. Verweij
Summary: The study investigated genetic associations and latent genetic structure among psychiatric disorders, finding significant genetic correlations between alcohol and nicotine dependence with other disorders, while cannabis use disorder was only associated with ADHD. Including substance use disorders in the factor analysis led to changes in the underlying genetic factor structure, emphasizing the importance of cautious interpretation of the identified structures.
DRUG AND ALCOHOL DEPENDENCE
(2021)
Article
Psychology, Biological
Katerina V-A Johnson, Laura Steenbergen
Summary: The use of antibiotics is associated with changes in the human microbiome and has an impact on emotional processing and mood. This study found that individuals who have taken antibiotics in the past three months show a stronger emotional bias towards sadness and have a higher heart rate. These findings are highly relevant in understanding the relationship between antibiotics and susceptibility to depression and anxiety, and have implications for research on emotional processing and psychophysiology.
PHYSIOLOGY & BEHAVIOR
(2022)
Article
Computer Science, Artificial Intelligence
Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar, Divya Velayudhan, Adi Alhudhaif, Kemal Polat
Summary: Speaker recognition systems face challenges in dealing with emotional variations in speech signals. This study proposes a CapsNet-based speaker identification model to overcome the inadequacy of CNNs, and experimental results show its improvement over baseline systems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Neurosciences
Hongjian Pu, Yangfan Wang, Tuo Yang, Rehana K. Leak, R. Anne Stetler, Fang Yu, Wenting Zhang, Yejie Shi, Xiaoming Hu, Ke-jie Yin, T. Kevin Hitchens, C. Edward Dixon, Michael V. L. Bennett, Jun Chen
Summary: Traumatic brain injury (TBI) often leads to intractable psychiatric disorders and long-term changes in affect, such as anxiety. This study aimed to investigate the effect of repetitive intranasal delivery of interleukin-4 (IL-4) nanoparticles on affective symptoms after TBI in mice. The results showed that IL-4 delivery attenuated anxiety-like behaviors and protected against neuronal loss and fiber tract damage in key limbic structures. It also promoted a beneficial microglia/macrophage phenotype, which was correlated with long-term behavioral improvements. These findings suggest that IL-4 holds promise for managing mood disturbances following TBI.
NEUROBIOLOGY OF DISEASE
(2023)
Article
Clinical Neurology
Naz Karadag, Alexey A. Shadrin, Kevin S. O'Connell, Guy F. L. Hindley, Zillur Rahman, Nadine Parker, Shahram Bahrami, Vera Fominykh, Weiqiu Cheng, Borge Holen, Silje Alvestad, Erik Tauboll, Nils Eiel Steen, Srdjan Djurovic, Anders M. Dale, Oleksandr Frei, Ole A. Andreassen, Olav B. Smeland
Summary: Psychiatric disorders and common epilepsies have overlapping genetic loci, indicating a complex genetic relationship between these conditions. The study identified 40 distinct loci jointly associated with epilepsies and psychiatric disorders, suggesting shared pathophysiological and clinical features.
Review
Psychiatry
Frank W. Paulus, Susanne Ohmann, Eva Moehler, Paul Plener, Christian Popow
Summary: Emotional dysregulation is defined as the inability to regulate the intensity and quality of emotions, impacting emotional responses and mood stability. Research shows a relationship between emotional dysregulation and various psychiatric disorders, highlighting the importance of prevention and treatment.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Psychiatry
Anthony L. Vaccarino, Derek Beaton, Sandra E. Black, Pierre Blier, Farnak Farzan, Elizabeth Finger, Jane A. Foster, Morris Freedman, Benicio N. Frey, Susan Gilbert Evans, Keith Ho, Mojib Javadi, Sidney H. Kennedy, Raymond W. Lam, Anthony E. Lang, Bianca Lasalandra, Sara Latour, Mario Masellis, Roumen V. Milev, Daniel J. Mueller, Douglas P. Munoz, Sagar V. Parikh, Franca Placenza, Susan Rotzinger, Claudio N. Soares, Alana Sparks, Stephen C. Strother, Richard H. Swartz, Brian Tan, Maria Carmela Tartaglia, Valerie H. Taylor, Elizabeth Theriault, Gustavo Turecki, Rudolf Uher, Lorne Zinman, Kenneth R. Evans
Summary: Brain-CODE is an informatics platform that collects, stores, and integrates data to understand the causes of brain dysfunction and develop new treatment approaches. By providing access to diverse datasets, including clinical, neuroimaging, and molecular data, Brain-CODE facilitates analyses within and across brain disorders. The establishment of Common Data Elements ensures consistency in data collection and enhances the ability to analyze pooled participant-level data.
FRONTIERS IN PSYCHIATRY
(2022)
Review
Clinical Neurology
Yuan Zhang, Jingjing Wang, Yu Ye, Yazhu Zou, Wei Chen, Zuxing Wang, Zhili Zou
Summary: Immune dysregulated cytokine production plays a crucial role in mental diseases. The pattern of cytokine alterations varies across different psychiatric disorders. A network impact analysis was conducted to evaluate the clinical impact of cytokine levels in schizophrenia, major depressive disorder, bipolar disorder, panic disorder, post-traumatic stress disorder, and obsessive-compulsive disorder. The results showed significantly increased levels of proinflammatory cytokines, hsCRP/CRP, and interleukin 6 (IL-6) in patients with psychiatric disorders compared to controls. IL-6 did not show significant differences between disorders according to the network meta-analysis. Interleukin 10 (IL-10) was significantly increased in patients with bipolar disorder compared to major depressive disorder, and interleukin-1 beta (IL-1 beta) was significantly increased in major depressive disorder compared to bipolar disorder. The levels of interleukin 8 (IL-8) varied among these psychiatric disorders based on the network meta-analysis. Overall, abnormal cytokine levels were found in psychiatric disorders, and some cytokines, especially IL-8, showed differential characteristics, suggesting their potential as biomarkers for general and differential diagnosis.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2023)
Article
Clinical Neurology
Laura Pineda-Cirera, Judit Cabana-Dominguez, Phil H. Lee, Noelia Fernandez-Castillo, Bru Cormand
Summary: Psychiatric disorders affect a significant portion of the global population and share a genetic basis, with a study identifying eight risk genes impacting multiple disorders by influencing DNA methylation and gene expression in the brain through an integrative functional genomics analysis. This research sheds light on the etiological role of SNPs in psychiatric disorders and provides insights into the underlying molecular mechanisms of these complex conditions.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2022)
Review
Mathematical & Computational Biology
G. Nike Gnanateja, Dhatri S. Devaraju, Matthias Heyne, Yina M. Quique, Kevin R. Sitek, Monique C. Tardif, Rachel Tessmer, Heather R. Dial
Summary: This article provides an overview of the role of oscillations in neural processing and their functional relevance in speech and music perception for clinician-scientists. It covers neural oscillations, research methods, associations with music processing and disorders, and quantifying metrics. The article also highlights key findings and future directions in oscillatory research in speech and music perception.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2022)
Article
Psychology, Clinical
Debo Dong, Dezhong Yao, Yulin Wang, Seok-Jun Hong, Sarah Genon, Fei Xin, Kyesam Jung, Hui He, Xuebin Chang, Mingjun Duan, Boris C. Bernhardt, Daniel S. Margulies, Jorge Sepulcre, Simon B. Eickhoff, Cheng Luo
Summary: This study investigated the pathological interaction of sensory and cognitive function in schizophrenia and its relationship to system-level imbalance. The results revealed a compression of the cortical hierarchy organization, leading to a diminished separation between sensory and cognitive systems. Furthermore, the analysis showed reduced connectivity within unimodal regions and increased connectivity between unimodal regions and other areas. These findings suggest that disruptions in the somatosensory-motor system and inefficient integration of sensory information contribute to high-level cognitive deficits in schizophrenia.
PSYCHOLOGICAL MEDICINE
(2023)
Review
Behavioral Sciences
Tania M. Pollok, Anna Kaiser, Eline J. Kraaijenvanger, Maximilian Monninger, Daniel Brandeis, Tobias Banaschewski, Simon B. Eickhoff, Nathalie E. Holz
Summary: Early life adversities (ELAs) are associated with an increased risk of psychopathology and structural brain alterations. A meta-analysis of gray matter volume (GMV) alterations suggests that ELAs have a common impact on the right hippocampus and amygdala, left inferior frontal gyrus, and also show age and maltreatment-specific effects.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Neurosciences
Benjamin M. Rosenberg, Vincent Taschereau-Dumouchel, Hakwan Lau, Katherine S. Young, Robin Nusslock, Richard E. Zinbarg, Michelle G. Craske
Summary: This study found that the etiology and treatment of anxiety disorders are related to classical conditioning learning processes, and anhedonia and disruptions in reward processes are associated with classical conditioning learning. The transdiagnostic associations between anhedonia symptoms and neural indices of classical conditioning learning are crucial for this research direction. The findings suggest that patterns of brain activity during the extinction process, particularly in the cognitive control, default mode, limbic, salience, and visual networks, can predict symptoms of anhedonia.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
(2023)
Article
Psychology, Experimental
Lya K. Paas Oliveros, Aleks Pieczykolan, Rachel N. Plaeschke, Simon B. Eickhoff, Robert Langner
Summary: Difficulties in performing two tasks at once increase with age. Conflicting response codes can lead to interference, and this interference is more pronounced in older adults, suggesting deficits in multiple-action control.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Article
Clinical Neurology
Lukas Hensel, Fabian Lange, Caroline Tscherpel, Shivakumar Viswanathan, Jana Freytag, Lukas J. Volz, Simon B. Eickhoff, Gereon R. Fink, Christian Grefkes
Summary: This study assessed the contributions of the ipsilesional and contralesional anterior intraparietal cortex (aIPS) for hand motor function in stroke patients and found increased resting-state connectivity in patients with good motor outcome. Interhemispheric connectivity was also found to be correlated with better motor performance.
Review
Anesthesiology
Alina T. Henn, Bart Larsen, Lennart Frahm, Anna Xu, Azeez Adebimpe, J. Cobb Scott, Sophia Linguiti, Vaishnavi Sharma, Allan Basbaum, Gregory Corder, Robert H. Dworkin, Robert R. Edwards, Clifford J. Woolf, Ute Habel, Simon B. Eickhoff, Claudia R. Eickhoff, Lisa Wagels, Theodore D. Satterthwaite
Summary: Neuroimaging is a powerful tool for studying the relationship between chronic pain and brain structure. A meta-analysis of structural magnetic imaging studies found subtle but widespread alterations in brain structure associated with chronic pain. These alterations primarily occurred in brain regions involved in pain processing.
Review
Neurosciences
Ji Chen, Kaustubh R. Patil, B. T. Thomas Yeo, Simon B. Eickhoff
Summary: Much attention is being paid to developing diagnostic classifiers for mental disorders. In addition, machine learning is highlighted as a potential tool for gaining biological insights into the psychopathology and nosology of mental disorders. Brain imaging data, obtained noninvasively from large cohorts, has been used in studies to reveal intermediate phenotypes and refine the taxonomy of mental illness. Machine learning models' accuracy can identify pathophysiology-related features, addressing the dimensional and overlapping symptomatology of psychiatric illness. A multiview perspective combining molecular and system-level data and efforts toward data-driven definition of subtypes or disease entities through unsupervised and semisupervised approaches have also been emphasized.
BIOLOGICAL PSYCHIATRY
(2023)
Article
Neurosciences
Marisa K. Heckner, Edna C. Cieslik, Kaustubh R. Patil, Martin Gell, Simon B. Eickhoff, Felix Hoffstaedter, Robert Langner
Summary: Healthy aging is associated with changes in executive functioning (EF) and resting-state functional connectivity (RSFC) within brain networks. However, it is unclear how RSFC in EF-associated networks predicts individual EF performance. This study found low prediction accuracies and a lack of specificity regarding neurobiological networks for predicting EF abilities, suggesting the need for future research with different task states, brain modalities, larger samples, and more comprehensive measures.
Article
Neurosciences
Andy Wai Kan Yeung, Michaela Robertson, Angela Uecker, Peter T. Fox, Simon B. Eickhoff
Summary: The literature of neuroimaging meta-analysis, particularly the activation likelihood estimation (ALE) approach, has been thriving for over a decade. A meta-evaluation of these meta-analyses was performed to evaluate their design and reporting standards. The study found that the use of cluster-level family-wise error (FWE) correction method has become dominant, and there has been slight improvement in reporting on data redundancy elimination and providing input data. However, there is still room for improvement in terms of data and code availability statements and data submission to BrainMap.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
Summary: We compared three heatmap methods derived from deep neural networks and SVM activation patterns to analyze structural MRI scans of subjects with Alzheimer's disease. Our results showed that all three heatmap methods were able to capture brain regions more accurately than SVM activation patterns, and the Integrated Gradients method had the best overlap with the independent meta-analysis.
Review
Behavioral Sciences
Arianna Sala, Aldana Lizarraga, Silvia Paola Caminiti, Vince D. Calhoun, Simon B. Eickhoff, Christian Habeck, Sharna D. Jamadar, Daniela Perani, Joana B. Pereira, Mattia Veronese, Igor Yakushev
Summary: Brain connectomics has become a major concept in neuroscience, and molecular imaging provides unique information that is inaccessible to MRI-based and electrophysiological techniques. Therefore, we encourage an integrative approach to better understand the brain connectome by combining MRI, electrophysiological techniques, and molecular imaging.
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Medicine, General & Internal
Bastian Cheng, Ji Chen, Alina Koenigsberg, Carola Mayer, Leander Rimmele, Kaustubh R. Patil, Christian Gerloff, Gotz Thomalla, Simon B. Eickhoff
Summary: This study used advanced machine learning techniques to analyze the dimensional structure of NIHSS and identified a five-dimensional representation, including left motor deficits, right motor deficits, dysarthria and facial palsy, language, and deficits in spatial attention and gaze. The study also validated the neurobiological basis of these dimensions through neuroanatomical and functional analysis, providing a valuable anatomical map for individualized stroke treatment and rehabilitation.
Article
Clinical Neurology
Jan Kasper, Simon B. Eickhoff, Svenja Caspers, Jessica Peter, Imis Dogan, Robert Christian Wolf, Kathrin Reetz, Juergen Dukart, Michael Orth
Summary: Kasper et al. found that in Huntington's disease, the functional integrity of the dopamine receptor-rich caudate nucleus plays a crucial role in maintaining network function. Loss of caudate functional integrity leads to motor signs independent of atrophy. This finding may have implications for other neurodegenerative diseases.
Article
Neurosciences
Shammi More, Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil
Summary: The difference between predicted age based on brain scans and chronological age can be used as a proxy for atypical aging. Different data representations and machine learning algorithms have different effects on performance criteria such as accuracy, generalizability, reliability, and consistency. The choice of feature representation and machine learning algorithm both affect performance, and further evaluation and improvements are needed for real-world application.
Article
Clinical Neurology
Kyesam Jung, Esther Florin, Kaustubh R. Patil, Julian Caspers, Christian Rubbert, Simon B. Eickhoff, Oleksandr Popovych
Summary: Jung et al. demonstrated that involving simulated connectomes generated by whole-brain dynamical models can improve the prediction performance of machine learning methods at classification of Parkinsonian patients against healthy subjects for appropriate data processing and invented here behavioural model fitting. Simulated whole-brain connectomes demonstrate enhanced inter-individual variability depending on the data processing and modelling approach. The temporal filtering of blood oxygenation level-dependent signals and the combination of empirical and simulated data from multiple brain parcellation schemes can improve the prediction performance.
BRAIN COMMUNICATIONS
(2022)