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Gains and Losses Affect Learning Differentially at Low and
Gains and Losses Affect Learning Differentially at Low and High Attentional Load Kianoush Banaie Boroujeni1, Marcus Watson2, and Thilo Womelsdorf1 Abstract ■ Prospective gains and losses influence cognitive processing, but it is unresolved how they modulate flexible learning in changing environments. The prospect of gains might enhance flexible learning through prioritized processing of reward- predicting stimuli, but it is unclear how far this learning benefit
Mid-level Feature Differences Support Early Animacy
Mid-level Feature Differences Support Early Animacy and Object Size Distinctions: Evidence from Electroencephalography Decoding Ruosi Wang , Daniel Janini, and Talia Konkle Abstract ■ Responses to visually presented objects along the cortical surface of the human brain have a large-scale organization reflecting the broad categorical divisions of animacy and object size. Emerging evidence indicates that this topographical orga- nization is supported by differences between objects
Distributed Neural Systems Support Flexible Attention
Distributed Neural Systems Support Flexible Attention Updating during Category Learning Emily R. Weichart*, Daniel G. Evans*, Matthew Galdo, Giwon Bahg, and Brandon M. Turner Abstract ■ To accurately categorize items, humans learn to selectively attend to the stimulus dimensions that are most relevant to the task. Models of category learning describe how attention changes across trials as labeled stimuli are progressively observed. The Adaptive Attention
Planning the Potential Future during
Planning the Potential Future during Multi-item Visual Working Memory Rose Nasrawi1 and Freek van Ede1,2 Abstract ■ Working memory allows us to retain visual information to guide upcoming future behavior. In line with this future-oriented purpose of working memory, recent studies have shown that action planning occurs during encoding and retention of a single visual item, for which the upcoming action is certain. We asked
A Special Role of Syllables, But Not Vowels or Consonants,
A Special Role of Syllables, But Not Vowels or Consonants, for Nonadjacent Dependency Learning Ivonne Weyers1,2 and Jutta L. Mueller1,2 Abstract ■ Successful language processing entails tracking (morpho) syntactic relationships between distant units of speech, so-called nonadjacent dependencies (NADs). Many cues to such depen- dency relations have been identified, yet the linguistic elements encoding them have received little attention. In the present investigation, we tested
Visual Distraction Disrupts Category-tuned Attentional
Visual Distraction Disrupts Category-tuned Attentional Filters in Ventral Visual Cortex Blaire Dube, Lasyapriya Pidaparthi, and Julie D. Golomb Abstract ■ Our behavioral goals shape how we process information via attentional filters that prioritize goal-relevant information, dictat- ing both where we attend and what we attend to. When some- thing unexpected or salient appears in the environment, it captures our spatial attention. Extensive research has focused
Alter- and Episodic Memory-related Differences in
Alter- and Episodic Memory-related Differences in Task-based Functional Connectivity in Women and Men Sivaniya Subramaniapillai1,2*, Sricharana Rajagopal2, Elizabeth Ankudowich1,2, Stamatoula Pasvanis2, Bratislav Misic2, and M. Natasha Rajah1,2* Abstract ■ Aging is associated with episodic memory decline and changes in functional brain connectivity. Understanding whether and how biological sex influences age- and memory performance-related functional connectivity has important the- oretical implications for the cognitive neuroscience of
Arbabyazd, L., Petkoski, S., Breakspear, M., Solodkin, A., Battaglia, D., & Jirsa, V. (2023). State switching and high-order
Arbabyazd, L., Petkoski, S., Breakspear, M., Solodkin, A., Battaglia, D., & Jirsa, V. (2023). State switching and high-order spatiotemporal organization of dynamic Functional Connectivity are disrupted by Alzheimer’s Disease. Netzwerkneurowissenschaften, Advance publication. https://doi.org/10.1162/netn_a_00332. State switching and high-order spatiotemporal organization of dynamic Functional Connectivity are disrupted by Alzheimer’s Disease Lucas Arbabyazd1,* , Spase Petkoski1, Michael Breakspear2, Ana Solodkin3, Demian Battaglia1,4+,@, Viktor Jirsa1,+,@ 1 Université Aix-Marseille,
Levi, P.T., Chopra, S., Pang, J.C., Holmes, A., Gajwani, M., Sassenberg, T.A., DeYoung, C.G. & Fornito, A. (2023). The effect
Levi, P.T., Chopra, S., Pang, J.C., Holmes, A., Gajwani, M., Sassenberg, T.A., DeYoung, C.G. & Fornito, A. (2023). The effect of using group-averaged or individualized brain parcellations when investigating connectome dysfunction in psychosis. Netzwerkneurowissenschaften, Advance publication. https://doi.org/10.1162/netn_a_00329. The effect of using group-averaged or individualized brain parcellations when investigating connectome dysfunction in psychosis Short title: Individualized parcellation and dysconnectivity in psychosis Priscila T. Levi1, Sidhant Chopra2,
Pak, V. & Hashmi, J.A. (2023). Top-down threat bias in pain perception is predicted by higher segregation between restingstate
Pak, V. & Hashmi, J.A. (2023). Top-down threat bias in pain perception is predicted by higher segregation between restingstate networks. Netzwerkneurowissenschaften, Advance publication. https://doi.org/10.1162/netn_a_00328. Title: Top-down threat bias in pain perception is predicted by higher segregation between resting- state networks Short title: High system segregation in RSNs predicts top-down threat bias. Authors: Veronika Pak1,2, Javeria Ali Hashmi3,4 1Department of Neurology and Neurosurgery, McGill-Universität,
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RESEARCH Epileptogenic Networks in Extra Temporal Lobe Epilepsy Gerard R. Hall1 , Frances Hutchings1, Jonathan Horsley1, Callum M. Simpson1, Yujiang Wang1,2,3, Jane de Tisi2,4, Anna Miserocchi2, Andrew W. McEvoy2, Sjoerd B. Vos5, Gavin P. Winston2,6, John S. Duncan2,4, and Peter N. Taylor1,2,3 1CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom 2Department of Epilepsy, UCL Queen
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RESEARCH Abnormal wiring of the structural connectome in adults with ADHD Tuija Tolonen1 , Timo Roine2,3, Kimmo Alho1,4, Sami Leppämäki5, Pekka Tani6, Anniina Koski6, Matti Laine3,7, and Juha Salmi2,4 1Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland 2Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland 3Turku Brain and Mind Center, University of Turku, Turku, Finland 4AMI Centre, Aalto Neuroimaging, Aalto University,
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RESEARCH Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability Chao Jiang1, Ye He2, Richard F. Betzel3, Yin-Shan Wang4,5, Xiu-Xia Xing6, and Xi-Nian Zuo4,5,7,8 1School of Psychology, Capital Normal University, Peking, China 2School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Peking, China 3Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA 4State Key Laboratory of
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RESEARCH Hierarchical organization of spontaneous co-fluctuations in densely sampled individuals using fMRI Richard F. Betzel1,2,3,4, Sarah A. Cutts1,2, Jacob Tanner3,5, Sarah A. Greenwell1, Thomas Varley1,5, Joshua Faskowitz1, and Olaf Sporns1,2,3,4 1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA 2Program in Neuroscience, Indiana University, Bloomington, IN, USA 3Cognitive Science Program, Indiana University, Bloomington, IN, USA 4Network Science Institute, Indiana University, Bloomington, IN, USA
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RESEARCH Functional connectome fingerprinting across the lifespan Frédéric St-Onge1,2 , Mohammadali Javanray1,2, Alexa Pichet Binette3, Cherie Strikwerda-Brown2, Jordana Remz2, R. Nathan Spreng2,4,5, Golia Shafiei5, Bratislav Misic5, Étienne Vachon-Presseau6,7,8, and Sylvia Villeneuve1,2,5 1Integrated Program in Neuroscience, Faculty of Medicine, McGill-Universität, Montreal, Canada 2Research Center of the Douglas Mental Health University Institute, Montreal, Canada 3Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden 4Department
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RESEARCH Resolving inter-regional communication capacity in the human connectome Filip Milisav , Vincent Bazinet, Yasser Iturria-Medina, and Bratislav Misic McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill-Universität, Montréal, Canada Keywords: Connectome, Communication, Polysynaptic, Null model, Structure-function relationship, Segregation-Integration a n o p e n a c c e s s j o u r n a l ABSTRACT Applications of graph theory to the
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RESEARCH Creativity at rest: Exploring functional network connectivity of creative experts William Orwig1,2 , Roni Setton1 Diana I. Tamir4 , Ibai Diez2 , Jorge Sepulcre2 , Elisenda Bueichekú2 , Meghan L. Meyer3 , , and Daniel L. Schacter1 1Department of Psychology, Harvard Universität, Cambridge, MA, USA 2Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA 3Department
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RESEARCH Description length guided nonlinear unified Granger causality analysis Fei Li1, Qiang Lin1, Xiaohu Zhao2, and Zhenghui Hu1 1Key Laboratory of Quantum Precision Measurement, College of Science, Zhejiang University of Technology, Hangzhou, China 2Department of Radiology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China Keywords: Nonlinear modeling, Description length, Unified Granger causality analysis, Functional MRI a n o p e n a c c e