Article
Neurosciences
Phillip Comeaux, Kelsey Clark, Behrad Noudoost
Summary: This article discusses the interactions between the prefrontal cortex and other areas during working memory and provides evidence for key elements of this model. It suggests that a top-down signal from the prefrontal cortex drives oscillations in sensory areas, and the phase of spiking in these areas conveys information about the representation available. Downstream areas can recover this information through coherent oscillations and input gating based on their local oscillations. The article also considers the broader implications of this framework for communication between brain areas.
PROGRESS IN NEUROBIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Ziquan Wang, Juan Li, Jie Li, Chang Liu
Summary: This study proposes an Information-Fusion based Decentralized Swarm Decision Algorithm (IFDSDA) for coordinating UAV swarms. The algorithm allows the UAVs to be controlled using different information sources in cases of communication interference or failure. The simulations demonstrate the effectiveness, scalability, and robustness of the proposed method.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Management
Hideshi Itoh, Kimiyuki Morita
Summary: This study examines the value of divergence in values and preferences in organizations by integrating three stages of the decision process. The results show that in environments with design conflicts and divergent preferences, the implementer's dual role enhances their motivation for information acquisition and influences the decision maker's project choice.
MANAGEMENT SCIENCE
(2023)
Article
Mathematical & Computational Biology
Lucas Rebscher, Klaus Obermayer, Christoph Metzner
Summary: Gamma rhythms play a key role in various brain processes, and noise can have beneficial effects on communication and information transfer. This study investigated the impact of uncorrelated noise on communication between excitatory-inhibitory networks generating gamma oscillations via a PING mechanism. The results showed that synaptic noise can support inter-regional communication and induce synchronization between networks through a different mechanism.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Manish Aggarwal
Summary: New entropy functions based on an agent's perceived uncertainty are formulated in this paper, highlighting the role of the decision-maker's attitude. The study introduces new attitude-based variants of probabilistic entropies and extends existing fuzzy entropies to consider the agent's specific attitude. The proposed entropy functions are shown to have wide applicability in multi criteria decision making.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Jimin Park, Sangjun Lee, Seonghun Park, Chany Lee, Sungshin Kim, Chang-Hwan Im
Summary: Recent research has shown that systematic phase delays between cortical regions reflect the direction of communications between them. This study proposed a new noninvasive brain stimulation method called msmp-tACS to modulate the direction of communication between distant brain areas. The results suggest that msmp-tACS is a promising method to effectively modulate cortical networks that cannot be readily modulated with conventional multi-site stimulation methods.
SCIENTIFIC REPORTS
(2023)
Article
Biochemical Research Methods
Xize Xu, Hermann Riecke
Summary: The study explores the impact of neuronal heterogeneity on the synchronization of gamma-rhythms in different brain areas, identifying a paradoxical phenomenon where synchronized rhythms may advance when subjected to external inhibition due to intrinsic neuronal heterogeneity. These findings help to explain the role of neuronal heterogeneity in the synchronization of coupled gamma-rhythms.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Psychology, Experimental
Fangyun Zhao, Adrienne Wood, Bilge Mutlu, Paula Niedenthal
Summary: Cooperating with another person requires communication and coordination, typically achieved through spoken language. However, when verbal communication is not available, people compensate by synchronizing their facial expressions.
Article
Computer Science, Artificial Intelligence
Manish Aggarwal
Summary: In multi-attribute group decision making, uncertain evaluations due to hesitancy, vagueness, and incompleteness can be represented using the concept of hesitant information set (HIS). HIS is extended to continuous and interval-valued domains and shows its significance in representing vague evaluations and its value in real-world group decision-making.
Article
Economics
Eduardo Fernandez, Jose Rui Figueira, Jorge Navarro, Efrain Solares
Summary: This paper proposes a generalized method for multi-criteria decision-making analysis in an interval framework, which can handle uncertainty and fuzziness. By modeling interval numbers, the method allows estimation of decision model parameters and assessment of criteria performance levels.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Engineering, Chemical
Tiantian Zhu, Stein Haugen, Yiliu Liu
Summary: In order to prevent major accidents in process industries, it is crucial to provide decision-makers with accurate risk information to aid in risk-related decisions. A framework is proposed to organize and provide risk information so that decision-makers can more effectively detect, assess, and address risk issues.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2021)
Correction
Economics
Haruki Kono, Michihiro Kandori
Summary: Crawford and Sobel demonstrated the existence of partition equilibria in their analysis of strategic information transmission, but identified errors in the proof and provided a corrected version along with a counter-example.
Article
Computer Science, Artificial Intelligence
Sophie C. F. Hendrikse, Sem Kluiver, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole
Summary: This paper aims to develop an adaptive computational model for the synchronization of actions and emotions in joint decision-making, and to visualize this process using avatars as virtual agents. Despite the potential applications in fields like online coaching and therapeutics, there is limited research on how to computationally model joint decision-making with adaptivity. We used an adaptive network-oriented modeling approach in MATLAB and Unity 3D to simulate and visualize various scenarios of joint decision-making.
COGNITIVE SYSTEMS RESEARCH
(2023)
Article
Oncology
Richard Harding, Naveen Salins, Krishna Sharan, Maria L. Ekstrand
Summary: The study revealed limited understanding of diagnosis and prognosis among cancer patients and family members in India, with different decision preferences and levels of insight. Health professionals faced challenges in disclosing information and making decisions, leading to inappropriate treatment choices and financial anxieties.
Article
Environmental Studies
Kristin F. Hurst, Nicole D. Sintov, Grant E. Donnelly
Summary: Household decisions, such as thermostat settings and food choices, are often made through conversation among multiple people. However, research on conversation as a tool for social influence, especially in sustainability, is lacking. In three experiments, the causal effects of peer-to-peer conversation on sustainable behavior were tested, considering the roles of psychological safety and partner stance.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2023)
Article
Neurosciences
Edmund T. Rolls, Josef P. Rauschecker, Gustavo Deco, Chu-Chung Huang, Jianfeng Feng
Summary: Study investigated effective connectivity between auditory cortical regions and other cortical regions using data from 171 Human Connectome Project participants. A hierarchy of auditory cortical processing was identified, from core regions to belt regions and onward to higher-level regions. The study also found connections between auditory regions, visual regions, and language-related semantic regions, suggesting the involvement of multimodal processing in object identification and language comprehension.
Article
Neurosciences
Jie Zhang, Ye Yao, Jin-song Wu, Edmund T. Rolls, Ce-chen Sun, Ling-hao Bu, Jun-feng Lu, Ching-po Lin, Jian-feng Feng, Ying Mao, Liang-fu Zhou
Summary: This study used multi-modal neuroimaging analyses to localize the cortical regions and white matter tracts responsible for auditory language comprehension. The results showed that cortical areas in the posterior temporal lobe are crucial for language comprehension. The fiber integrity of the arcuate fasciculus and the inferior longitudinal fasciculus was strongly correlated with auditory comprehension and the grey matter volume of the inferior temporal and middle temporal gyri.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Josephine Cruzat, Ruben Herzog, Pavel Prado, Yonatan Sanz-Perl, Raul Gonzalez-Gomez, Sebastian Moguilner, Morten L. Kringelbach, Gustavo Deco, Enzo Tagliazucchi, Agustin Ibanez
Summary: Healthy brain dynamics are characterized by a complex system that is far from thermodynamic equilibrium. However, Alzheimer's disease (AD) disrupts the time-reversal symmetry of brain activity, moving it towards equilibrium dynamics. Through the analysis of brain data from AD patients and healthy control subjects, it was found that AD is associated with a decrease in temporal irreversibility at global, local, and network levels, affecting multiple frequency bands. Specifically, frontal and temporoparietal regions were most affected at the local level, while limbic, frontoparietal, default mode, and salience networks were most compromised at the network level. Temporal reversibility was related to cognitive decline in AD and gray matter volume in healthy control subjects.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Neurosciences
Edmund T. Rolls, Gustavo Deco, Chu-Chung Huang, Jianfeng Feng
Summary: The amygdala and orbitofrontal cortex are involved in emotion. Through experiments on 171 humans from the Human Connectome Project, it was found that the human amygdala has fewer effective connections with cortical regions compared to the orbitofrontal cortex. It is proposed that the amygdala is primarily involved in autonomic and conditioned responses, rather than declarative emotion.
PROGRESS IN NEUROBIOLOGY
(2023)
Article
Neurosciences
Ludovica Mana, Manel Vila-Vidal, Charlotte Kockeritz, Kevin Aquino, Alex Fornito, Morten L. Kringelbach, Gustavo Deco
Summary: Through analyzing resting-state fMRI data from 47 schizophrenia patients and 118 age-matched healthy controls, this study found that brain dynamics in schizophrenia patients were characterized by an increased probability of globally coherent states and reduced recurrence of a substate dominated by coupled activity in the default mode and limbic networks. By using in silico perturbation of a whole-brain model, critical areas involved in the disease were identified. Perturbing temporo-parietal sensory and associative areas in a healthy brain model reproduced global pathological dynamics, while perturbing medial fronto-temporal and cingulate regions restored healthy brain dynamics in the model of pathology.
Article
Neurosciences
Nelly Padilla, Anira Escrichs, Elvira del Agua, Morten Kringelbach, Antonio Donaire, Gustavo Deco, Ulrika Aden
Summary: The brain in extremely preterm (EPT) children has difficulties in adapting and developing after birth. Resting-state functional magnetic resonance imaging revealed reduced neural information propagation and variability in certain brain networks, which were associated with cognitive performance. This study suggests that interventions targeting these resting-state networks could help improve brain function in EPT children.
Article
Neurosciences
Gerard Marti-Juan, Jaume Sastre-Garriga, Eloy Martinez-Heras, Angela Vidal-Jordana, Sara Llufriu, Sergiu Groppa, Gabriel Gonzalez-Escamilla, Maria A. Rocca, Massimo Filippi, Einar A. Hogestol, Hanne F. Harbo, Michael A. Foster, Ahmed T. Toosy, Menno M. Schoonheim, Prejaas Tewarie, Giuseppe Pontillo, Maria Petracca, Alex Rovira, Gustavo Deco, Deborah Pareto
Summary: The relationship between structural connectivity (SC) and functional connectivity (FC) in people with multiple sclerosis (pwMS) and its interaction with disability and cognitive impairment are not well understood. This study used the Virtual Brain (TVB) to explore the SC-FC relationship in MS. Two different model regimes were studied: stable and oscillatory, with the latter including conduction delays in the brain. The results suggested that cognitive impairment in pwMS is associated with a higher SC-FC coupling and that there are compensatory and maladaptive mechanisms between SC and FC in MS.
Editorial Material
Neurosciences
Edmund T. T. Rolls, Sylvia Wirth
Editorial Material
Neurosciences
Edmund T. T. Rolls
Summary: This passage discusses the role of visual cells in the hippocampus in humans and primates and their importance in memory and navigation. These cells provide allocentric representations of the location of objects and rewards in the environment, which are crucial for human memory and navigation.
Article
Neurosciences
Edmund T. Rolls, Ruiqing Feng, Jianfeng Feng
Summary: Some lifestyle factors are associated with decreased brain functional connectivity and altered brain structure. This study examined the associations between several lifestyle risk measures and brain connectivity and structure in a large sample. The results showed that higher lifestyle risk scores were related to lower functional connectivity and reduced cortical thickness and subcortical volume in specific brain regions. This study highlights the importance of lifestyle in relation to brain health and provides insights into the potential mechanisms underlying these associations.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Rajanikant Panda, Ane Lopez-Gonzalez, Matthieu Gilson, Olivia Gosseries, Aurore Thibaut, Gianluca Frasso, Benedetta Cecconi, Anira Escrichs, Gustavo Deco, Steven Laureys, Gorka Zamora-Lopez, Jitka Annen
Summary: The study of brain's dynamic activity is helping in the clinical assessment of patients with consciousness disorders. The reduced neural propagation and responsiveness to events in patients with disorders of consciousness is related to severe reduction in glucose metabolism. These findings provide insights into the mechanisms behind consciousness disorders, combining network function with measures of brain integrity and behavior.
HUMAN BRAIN MAPPING
(2023)
Article
Cell Biology
Yonatan Sanz Perl, Carla Pallavicini, Juan Piccinini, Athena Demertzi, Vincent Bonhomme, Charlotte Martial, Rajanikant Panda, Naji Alnagger, Jitka Annen, Olivia Gosseries, Agustin Ibanez, Helmut Laufs, Jacobo D. Sitt, Viktor K. Jirsa, Morten L. Kringelbach, Steven Laureys, Gustavo Deco, Enzo Tagliazucchi
Summary: Researchers use whole-brain modeling, data augmentation, and deep learning to determine a mapping representing states of consciousness in a low-dimensional space. They reveal an orderly trajectory from wakefulness to patients with brain injury in a latent space, where coordinates represent metrics related to functional modularity and structure-function coupling. The effects of model perturbations are investigated, providing a geometrical interpretation for the stability and reversibility of states.
Article
Biochemical Research Methods
Pau Clusella, Gustavo S. Deco, Morten Kringelbach, Giulio S. Ruffini, Jordi Garcia-Ojalvo
Summary: In this study, the authors investigate the complex spatiotemporal dynamics in large-scale brain models. They show that destabilization of a synchronized oscillatory state can lead to the emergence of traveling waves and high-dimensional chaos. This work establishes a general route towards understanding spatiotemporal oscillations in the brain.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Biology
Yonatan Sanz Perl, Sol Fittipaldi, Cecilia Gonzalez Campo, Sebastian Moguilner, Josephine Cruzat, Matias E. Fraile-Vazquez, Ruben Herzog, Morten L. Kringelbach, Gustavo Deco, Pavel Prado, Agustin Ibanez, Enzo Tagliazucchi, Muireann Irish
Summary: To address the lack of interventions for neurodegenerative diseases, this study combined deep learning with a model of whole-brain functional connectivity in Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) patients. Disease-specific atrophy maps were used to modulate local parameters, revealing stable dynamics in the hippocampus and insula as indicators of brain atrophy in AD and bvFTD, respectively. By using variational autoencoders, the evolution of different pathologies and their severity were visualized in a low-dimensional latent space. Perturbing the model identified key regions specific to AD and bvFTD, allowing transitions from pathological to healthy brain states. Overall, this study provides new insights into disease progression and control in neurodegeneration through external stimulation and uncovers the underlying dynamic mechanisms driving functional alterations.
Article
Neurosciences
Sonsoles Alonso, Anna Tyborowska, Nessa Ikani, Roel J. T. Mocking, Caroline A. Figueroa, Aart H. Schene, Gustavo Deco, Morten L. Kringelbach, Joana Cabral, Henricus G. Ruhe
Summary: 《Dynamic Changes in Brain Network Connectivity during Recurrence of Major Depressive Disorder》This study investigated the dynamic changes in brain connectivity during the transition from remission to recurrence in major depressive disorder (MDD) patients. The findings showed that during recurrence, there was increased activity in the basal ganglia-anterior cingulate cortex and visuo-attentional networks, as well as a longer duration of activation in the default mode network. Additionally, the synchrony between the reward network and the rest of the brain was significantly reduced during recurrence. These results provide initial evidence of altered dynamical exploration of functional networks during a recurrent depressive episode.
HUMAN BRAIN MAPPING
(2023)