Article
Neurosciences
Kun Il Kim, Wi Hoon Jung, Choong-Wan Woo, Hackjin Kim
Summary: This study investigates the individual variability in context-dependent facial expression estimation and its neural circuitry, providing novel insights into the predictive accounts of affective states.
Article
Neurosciences
Ronald Sladky, Andreas Hahn, Inga-Lisa Karl, Nicole Geissberger, Georg S. Kranz, Martin Tik, Christoph Kraus, Daniela M. Pfabigan, Andreas Gartus, Rupert Lanzenberger, Claus Lamm, Christian Windischberger
Summary: Using dynamic causal modeling, this study investigated the central role of the OFC in regulating amygdala activation during emotional face processing, demonstrating that the OFC downregulates amygdala activation, rather than the DLPFC or VLPFC.
BRAIN CONNECTIVITY
(2022)
Article
Multidisciplinary Sciences
Zhenfu Wen, Candace M. Raio, Edward F. Pace-Schott, Sara W. Lazar, Joseph E. LeDoux, Elizabeth A. Phelps, Mohammed R. Milad
Summary: This study examines the involvement of the amygdala in threat conditioning and safety learning by combining data from multiple studies. The findings reveal that two subregions of the amygdala track the conditioned stimulus with aversive shock during early conditioning, while only one subregion demonstrates delayed responding to a stimulus not paired with shock.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Nihong Chen, Hailin Ai, Xincheng Lu
Summary: Using fMRI, this study investigates the background connectivity between the pulvinar and V1 in relation to focused and diffused attention allocation. The findings suggest that focused attention enhances the correlations between the pulvinar and V1, with the modulation initiated by the pulvinar and dependent on the saliency of the target. This study reveals the role of the pulvinar in information reweighting for attentional selection in cluttered scenes.
Article
Neurosciences
Murray Bruce Reed, Manfred Klobl, Godber Mathis Godbersen, Patricia Anna Handschuh, Vera Ritter, Benjamin Spurny-Dworak, Jakob Unterholzner, Christoph Kraus, Gregor Gryglewski, Dietmar Winkler, Rene Seiger, Thomas Vanicek, Andreas Hahn, Rupert Lanzenberger
Summary: This study examined the impact of SSRI antidepressants on neuroplasticity in healthy volunteers. The results indicate that SSRI intake can alter effective connections between certain brain regions, without significantly affecting intrinsic or resting-state connections.
Article
Neurosciences
Peter A. Kirk, Avram J. Holmes, Oliver J. Robinson
Summary: Previous research has suggested a link between the amygdala-dorsomedial prefrontal circuit, trait anxiety/vigilance, and anxiogenic stimuli. This study aimed to investigate if this circuit is chronically engaged in individuals with high anxiety and threat vigilance. While no evidence of this relationship was found in the analysis of resting-state fMRI data, a relationship was observed between threat vigilance behavior and intrinsic amygdala-periaqueductal gray connectivity in exploratory analyses.
HUMAN BRAIN MAPPING
(2022)
Article
Biology
Ingrid J. Haas, Melissa N. Baker, Frank J. Gonzalez
Summary: This study examines how uncertainty impacts political evaluation by using neuroimaging techniques. The findings show that neural activity in certain brain regions is strongest when information is both certain and incongruent, and uncertainty influences information processing differently based on the value of the attached information.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Neurosciences
Claudia Roswandowitz, Huw Swanborough, Sascha Fruehholz
Summary: Voice signals are processed in both the auditory cortex (AC) and inferior frontal cortex (IFC), with IFC playing a key role in representing higher-order vocal objects and guiding goal-directed behavior in voice processing.
HUMAN BRAIN MAPPING
(2021)
Article
Psychology, Multidisciplinary
Shanhu Hong, Rui Wang, Biao Zeng
Summary: This study investigates the impact of audiovisual information on the perception of lexical tones for Chinese and English speakers. It finds that visual form information significantly affects the identification accuracy of vowels, while visual timing information does not interfere with the perception of auditory lexical tone.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Multidisciplinary Sciences
Junjun Li, Yang Yang, Nestor Vinas-Guasch, Yinghui Yang, Hong-Yan Bi
Summary: This study used functional magnetic resonance imaging to investigate the brain networks involved in audiovisual integration during reading in children and adults. The results revealed enhanced connectivity in a prefrontal-superior temporal network in adults compared to children, reflecting the development of attentional modulation of audiovisual integration involved in reading processing. Additionally, the strength of this brain network's connectivity was correlated with reading accuracy.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2023)
Article
Clinical Neurology
Maria Athanassiou, Alexandre Dumais, Veronica Iammatteo, Luigi De Benedictis, Jean-Luc Dubreucq, Stephane Potvin
Summary: This study revealed the differences in brain activation and connectivity between suicidal schizophrenia patients and non-suicidal patients when processing angry faces. The results suggest that suicidal schizophrenia patients exhibit abnormal brain activation and connectivity when facing anger, highlighting the neglected role of anger in investigating the neural alterations underlying suicidal behaviors in schizophrenia.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2021)
Article
Neurosciences
Jana Lieberz, Simone G. Shamay-Tsoory, Nira Saporta, Alisa Kanterman, Jessica Gorni, Timo Esser, Ekaterina Kuskova, Johannes Schultz, Rene Hurlemann, Dirk Scheele
Summary: This study aimed to investigate the behavioral and neural correlates of social avoidance in loneliness, revealing that lonely individuals show a distinct pattern of behavioral and neural responsiveness to social decision-making and social feedback compared to social anxiety.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Yimeng Zeng, Fuxiang Tao, Zaixu Cui, Liyun Wu, Jiahua Xu, Wenshan Dong, Chao Liu, Zhi Yang, Shaozheng Qin
Summary: The study identified two distinct dynamic states of intrinsic connectivity patterns based on BLA and CMA using fMRI and K-means clustering in two groups of young healthy individuals. Higher skin conductance level was found in the integration state compared to the segregation state in another dataset. Additionally, machine learning analysis revealed that the time-varying BLA and CMA intrinsic connectivity patterns had higher predictive values for fluctuations in skin conductance level in the integration state.
Article
Psychology, Multidisciplinary
Tian Lin, Didem Pehlivanoglu, Maryam Ziaei, Peiwei Liu, Adam J. Woods, David Feifel, Hakan Fischer, Natalie C. Ebner
Summary: The study found that older adults show dampened response to faces with lower trustworthiness compared to young adults, supporting the idea of reduced sensitivity to cues of untrustworthiness in aging. Additionally, the results extend evidence of an age-related positivity effect to the evaluation of face trustworthiness.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Neurosciences
Chuanji Gao, Jessica J. Green, Xuan Yang, Sewon Oh, Jongwan Kim, Svetlana Shinkareva
Summary: This study investigated the neural underpinnings of audiovisual integration through a meta-analysis of 121 neuroimaging experiments. The findings suggest the coexistence of multiple integration sites and a flexible neural pathway for audiovisual integration, with the superior temporal cortex playing a central role.
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)
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)
Review
Psychology, Multidisciplinary
Linda Ficco, Veronika Mueller, Juergen M. Kaufmann, Stefan R. Schweinberger
Summary: Two competing theories explain the other-'race' effect (ORE) either by greater perceptual expertise to same-'race' (SR) faces or by social categorization of other-'race' (OR) faces at the expense of individuation. To assess expertise and categorization contributions to the ORE, a promising-yet overlooked-approach is comparing activations for different other-'races'. Overall, our results support hybrid models-both expertise and social categorization contribute to the ORE, but they provide little evidence for reduced motivation to process OR faces. Additionally, we identify areas preferentially responding to specific OR faces, reflecting effects of visual appearance.
BRITISH JOURNAL OF PSYCHOLOGY
(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
Zoe Buerger, Veronika I. Mueller, Felix Hoffstaedter, Ute Habel, Ruben C. Gur, Christian Windischberger, Ewald Moser, Birgit Derntl, Lydia Kogler
Summary: Females and males differ in stress reactions and coping strategies. The connectivity between the amygdala and frontal regions plays a key role in stress coping. In this study, the effects of sex and stressor type on the connectivity of the amygdala and frontal regions were examined. Females showed stronger connectivity between the amygdala and certain frontal regions during social exclusion stress compared to achievement stress, indicating the importance of social affiliation for females.
JOURNAL OF CLINICAL MEDICINE
(2023)
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
Medicine, General & Internal
Lydia Kogler, Christina Regenbogen, Veronika I. Mueller, Nils Kohn, Frank Schneider, Ruben C. Gur, Birgit Derntl
Summary: Stress plays a significant role in the development, triggering, and maintenance of psychotic symptoms. This study aimed to investigate the neural correlates of cognitive regulation of stress in schizophrenia. The results showed that schizophrenia patients exhibited stronger anticipation of stress, increased negative affect, and greater activation in specific brain regions compared to healthy controls. Furthermore, schizophrenia patients demonstrated difficulties in cognitive stress regulation. These findings have important implications for improving interventions for stress management.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Lydia Kogler, Veronika I. Mueller, Ewald Moser, Christian Windischberger, Ruben C. Gur, Ute Habel, Simon B. Eickhoff, Birgit Derntl
Summary: Testosterone levels modulate resting-state functional connectivity between brain regions involved in affective processing and executive functions. Significant sex differences were found, with higher testosterone levels associated with lower connectivity between the amygdala and the superior frontal gyrus in women. Testosterone may have sex-specific patterns in affect and cognition networks, as well as in the frontal down-regulation of the amygdala.
JOURNAL OF CLINICAL MEDICINE
(2023)
