Article
Biology
Lilya Andrianova, Steliana Yanakieva, Gabriella Margetts-Smith, Shivali Kohli, Erica S. Brady, John P. Aggleton, Michael T. Craig
Summary: The connectivity and interplay between the prefrontal cortex and hippocampus are important for cognitive processes, but the existence of a direct glutamatergic projection from the anterior cingulate cortex to the hippocampus has been questioned. In this study, multiple methods were used to validate a recent finding of this projection, but no evidence of such a projection was found.
Article
Neurosciences
Marcos Domic-Siede, Martin Irani, Joaquin Valdes, Marcela Perrone-Bertolotti, Tomas Ossandon
Summary: The study reveals the importance of cognitive planning in human goal-directed behavior, with different brain regions playing specific roles in the planning process. Activity in the prefrontal cortex is associated with increased time needed for plan elaboration, while activity in the frontopolar cortex is negatively correlated with execution time, indicating its role in efficiency and accuracy in plan execution. Theta activity in different brain regions reflects high cognitive demand and the successful generation of self-made plans.
Article
Neurosciences
Billy Kim, Dowon Kim, Anton Schulmann, Yash Patel, Carolina Caban-Rivera, Paul Kim, Ananya Jambhale, Kory R. Johnson, Ningping Feng, Qing Xu, Sun Jung Kang, Ajeet Mandal, Michael Kelly, Nirmala Akula, Francis J. McMahon, Barbara Lipska, Stefano Marenco, Pavan K. Auluck
Summary: Regional cellular heterogeneity in human neocortex is still unclear. This study uses single-nucleus RNA-sequencing to examine cell-specific transcriptional features in DLPFC and sgACC, finding more inhibitory cells in sgACC and considerable variability in excitatory neuron subclusters across brain regions. In addition, genetic signals of psychiatric disorders are mainly enriched in neurons.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Vinod Menon, Domenic Cerri, Byeongwook Lee, Rui Yuan, Sung-Ho Lee, Yen-Yu Ian Shih
Summary: This study demonstrates that optogenetic stimulation of AI neurons in the rat brain can suppress DMN activity and decrease connectivity between AI and DMN nodes. These findings reveal new insights into the network organization of the rodent brain and advance our understanding of the causal mechanisms underlying dynamic interactions and network switching.
NATURE COMMUNICATIONS
(2023)
Article
Clinical Neurology
Yuefeng Huang, Anusha Mohan, S. Lauren McLeod, Alison M. Luckey, John Hart Jr, Sven Vanneste
Summary: The study demonstrates that modulating activity in the aDMN and pDMN causally affect memory retrieval performance. Anodal stimulation of the pDMN and cathodal stimulation of the aDMN equally improve the percentage of word-associations recalled 7 days after learning, suggesting a possible functional dissociation between the aDMN and pDMN in episodic memory retrieval.
Review
Neurosciences
Bingsen Xiong, Changming Chen, Yanqiu Tian, Shouwen Zhang, Chao Liu, Tanya M. Evans, Guillen Fernandez, Jianhui Wu, Shaozheng Qin
Summary: The cortisol awakening response (CAR) is a crucial point in the healthy cortisol circadian rhythm, preparing the brain for challenges and promoting neurocognitive efficiency. Studies have found a causal link between CAR and its proactive role in optimizing functional brain networks.
PROGRESS IN NEUROBIOLOGY
(2021)
Article
Neurosciences
Maite Crespo-Garcia, Yulin Wang, Mojun Jiang, Michael C. Anderson, Xu Lei
Summary: This study investigates how people limit awareness of unwanted memories and finds that dACC plays an important role in detecting the need for memory control, while rDLPFC counters intruding thoughts that penetrate awareness.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Robert Kim, Terrence J. Sejnowski
Summary: By analyzing computational models and neural data, the authors demonstrate that inhibitory-to-inhibitory signaling is crucial for maintaining stable temporal dynamics and working memory in the primate prefrontal cortex.
NATURE NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Tanja Muller, Miriam C. Klein-Flugge, Sanjay G. Manohar, Masud Husain, Matthew A. J. Apps
Summary: Studies show that fatigue can affect people's willingness to persist in demanding tasks. Using computational modeling, researchers have revealed the dynamic impact of fatigue on effort-based choices and identified the neural mechanisms underlying such computations.
NATURE COMMUNICATIONS
(2021)
Article
Neurosciences
Yunjin Bak, Yoonjin Nah, Sanghoon Han, Seung-Koo Lee, Jiwoong Kim, Na-Young Shin
Summary: The study found that postpartum women display higher empathy towards babies and this is associated with specific brain regions. Over time, the empathizing process towards babies in postpartum period seems to become less cognitively demanding.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Edmund T. Rolls, Gustavo Deco, Chu-Chung Huang, Jianfeng Feng
Summary: The human orbitofrontal cortex, vmPFC, and anterior cingulate cortex play a crucial role in reward processing, emotion, and episodic memory. Effective connectivity between cortical regions and subcortical regions was measured in the human brain, revealing the complex network involved in these processes. This research enhances our understanding of the functional and neural connections in the brain.
Article
Multidisciplinary Sciences
Caroline L. Alves, Thaise G. L. de O. Toutain, Patricia de Carvalho Aguiar, Aruane M. Pineda, Kirstin Roster, Christiane Thielemann, Joel Augusto Moura Porto, Francisco A. Rodrigues
Summary: Autism is a complex neurodevelopmental condition with varying symptoms and severity, making accurate diagnosis challenging. Incorrect diagnosis can lead to negative effects on families and the education system, increasing the risk of mental health issues. This study proposes a new method for diagnosing autism using machine learning and brain imaging data, which outperforms existing methods. The findings suggest that individuals with autism have specific brain network characteristics, and the proposed method can be used with other types of brain data.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Elizabeth L. Johnson, Jack J. Lin, David King-Stephens, Peter B. Weber, Kenneth D. Laxer, Ignacio Saez, Fady Girgis, Mark D'Esposito, Robert T. Knight, David Badre
Summary: Flexible behavior relies on gating mechanisms that selectively encode task-relevant information in working memory. This study identifies rapid changes in regional and inter-regional activities in patients with intracranial EEG, highlighting the role of neocortical gating mechanisms in predicting behavioral output. The results demonstrate information accumulation and filtering processes in neocortical networks, providing evidence for a rapid neocortical theta network mechanism for flexible information encoding.
NATURE COMMUNICATIONS
(2023)
Article
Neurosciences
Justin M. Fine, David J. -N. Maisson, Seng Bum Michael Yoo, Tyler V. Cash-Padgett, Maya Zhe Wang, Jan Zimmermann, Benjamin Y. Hayden
Summary: An important question in neuroeconomics is how the brain represents the value of offers in a way that allows for comparison while preserving the details that influence value. This study examined neuronal responses in male macaques and found that there was no overlap in neural coding between risky and safe options, even when the options had identical subjective values. However, these regions were linked through a linear transform of their encodings, allowing for comparison of different types of options.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Critical Care Medicine
Jeremy Hogeveen, Denicia F. Aragon, Kimberly Rogge-Obando, Richard A. Campbell, C. William Shuttleworth, Rebecca E. Avila-Rieger, Ronald A. Yeo, J. Kevin Wilson, Violet Fratzke, Emma Brandt, Jacqueline Story-Remer, Darbi Gill, Andrew R. Mayer, James F. Cavanagh, Davin K. Quinn
Summary: This study revealed a connection between apathy following traumatic brain injury (TBI) and alterations in motivational neural circuits, with different levels of apathy in TBI patients related to changes in brain region functional connectivity.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Biochemical Research Methods
Aline Silva da Cruz, Maria Margarida Drehmer, Wagner Baetas-da-Cruz, Joao Carlos Machado
Summary: This study quantified microcirculation cerebral blood flow in a rat model of ischemic stroke using ultrasound biomicroscopy and ultrasound contrast agents. The results showed high sensitivity and specificity of this method, making it a valuable tool for preclinical studies.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Christina Dalla, Ivana Jaric, Pavlina Pavlidi, Georgia E. Hodes, Nikolaos Kokras, Anton Bespalov, Martien J. Kas, Thomas Steckler, Mohamed Kabbaj, Hanno Wuerbel, Jordan Marrocco, Jessica Tollkuhn, Rebecca Shansky, Debra Bangasser, Jill B. Becker, Margaret McCarthy, Chantelle Ferland-Beckham
Summary: Many funding agencies have emphasized the importance of considering sex as a biological variable in experimental design to improve the reproducibility and translational relevance of preclinical research. Omitting the female sex from experimental designs in neuroscience and pharmacology can result in biased or limited understanding of disease mechanisms. This article provides methodological considerations for incorporating sex as a biological variable in in vitro and in vivo experiments, including the influence of age and hormone levels, and proposes strategies to enhance methodological rigor and translational relevance in preclinical research.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Wenyu Gu, Dongxu Li, Jia-Hong Gao
Summary: We developed a precise and rapid method for positioning and labelling triaxial OPMs on a wearable magnetoencephalography (MEG) system, improving the efficiency of OPM positioning and labelling.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Kai Lin, Linhang Zhang, Jing Cai, Jiaqi Sun, Wenjie Cui, Guangda Liu
Summary: The article introduces an EEG feature map processing model for emotion recognition, which achieves significantly improved accuracy by fusing EEG information at different spatial scales and introducing a channel attention mechanism.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
John E. Parker, Asier Aristieta, Aryn H. Gittis, Jonathan E. Rubin
Summary: This work presents a toolbox that implements a methodology for automated classification of neural responses based on spike train recordings. The toolbox provides a user-friendly and efficient approach to detect various types of neuronal responses that may not be identified by traditional methods.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Yun Liang, Ke Bo, Sreenivasan Meyyappan, Mingzhou Ding
Summary: This study compared the performance of SVM and CNN on the same datasets and found that CNN achieved consistently higher classification accuracies. The classification accuracies of SVM and CNN were generally not correlated, and the heatmaps derived from them did not overlap significantly.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos, Antonino Vallesi, Ettore Ambrosini
Summary: This study introduces an analytical strategy that allows the use of mixed-effects models (LMM) in mass univariate analyses of EEG data. The proposed method overcomes the computational costs and shows excellent performance properties, making it increasingly important in the field of neuroscience.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Xavier Cano-Ferrer, Alexandra Tran -Van -Minh, Ede Rancz
Summary: This study developed a novel rotation platform for studying neural processes and spatial navigation. The platform is modular, affordable, and easy to build, and can be driven by the experimenter or animal movement. The research demonstrated the utility of the platform, which combines the benefits of head fixation and intact vestibular activity.
JOURNAL OF NEUROSCIENCE METHODS
(2024)