Article
Neurosciences
Zhenfu Wen, Zhe Sage Chen, Mohammed R. Milad
Summary: The study found that functional connectivity increased across the entire brain during fear extinction learning, predicting the performance of extinction memory. These results support recent research implicating distributed brain regions in learning, consolidation, and expression of fear extinction memory in the human brain.
Review
Behavioral Sciences
Chunliang Feng, Simon B. Eickhoff, Ting Li, Li Wang, Benjamin Becker, Julia A. Camilleri, Sebastien Hetu, Yi Luo
Summary: The study found that different brain regions involved in various social interactions mainly mapped onto the default mode network, salience network, subcortical network, and central executive network, respectively involved in social cognition, motivation, and cognitive control. This discovery provides a heuristic integrative framework for understanding human social life from the perspective of component processes and network integration.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2021)
Article
Multidisciplinary Sciences
Irena Provaznikova, Martina Hejnickova, Sander Visser, Martina Dalikova, Leonela Z. Carabajal Paladino, Magda Zrzava, Anna Volenikova, Frantisek Marec, Petr Nguyen
Summary: Fluorescence in situ hybridization (FISH) was used to evaluate karyotype evolution in moths and butterflies, revealing the erratic evolution of major rDNA genes and the stable organization of histone H3 genes. Detection of 5S rDNA and U1 and U2 snRNA genes was challenging, likely due to long spacers between genes or their scattered distribution.
SCIENTIFIC REPORTS
(2021)
Article
Clinical Neurology
Ingmar Blumcke, Fernando Cendes, Hajime Miyata, Maria Thom, Eleonora Aronica, Imad Najm
Summary: FCD is the most common cause of drug-resistant focal epilepsy in children and young adults, and the diagnosis relies on histopathological assessment of surgical brain tissue. Challenges exist in diagnosing FCD and its subtypes, necessitating continuous research and consensus for a reliable classification scheme. Combining clinical, imaging, histopathology, and molecular studies will help define the disease spectrum and develop specific treatment options for FCD.
Article
Computer Science, Theory & Methods
Govind Mittal, Pawel Korus, Nasir Memon
Summary: FiFTy is a modern file-type identification tool for memory forensics and data carving, which uses a compact neural network architecture with a trainable embedding space. It outperforms legacy systems on a diverse dataset with 75 file-types in terms of speed, accuracy, and individual misclassification rates. The tool is open-source and achieves an average accuracy of 77.5% with a processing speed of approximately 38 sec/GB.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
Article
Endocrinology & Metabolism
Pablo Bascunana, Bettina J. Wolf, Ina Jahreis, Mirjam Brackhan, Luis Garcia-Garcia, Tobias L. Ross, Frank M. Bengel, Marion Bankstahl, Jens P. Bankstahl
Summary: During and after status epilepticus (SE), rat brain perfusion shows significant spatiotemporal changes with increased cortical perfusion initially, regional hypo-perfusion during the first convulsive seizure, and markedly decreased uptake 24 hours post-SE. Chronic epileptic animals exhibit regionally decreased perfusion affecting hippocampus and cortical sub-regions. Despite elevated energy and oxygen requirements, brain hypo-perfusion is present during SE, potentially contributing to neuronal damage, neuroinflammation, and chronic epilepsy following SE.
METABOLIC BRAIN DISEASE
(2021)
Article
Biochemistry & Molecular Biology
Thomas Mortier, Anneleen D. Wieme, Peter Vandamme, Willem Waegeman
Summary: This study presents benchmarking results on an unprecedented scale for a wide range of machine learning methods using large datasets, showing acceptable identification rates in all three scenarios, but typically lower than reported in previous studies. The research also demonstrates that taxonomic information is generally not well preserved in MALDI-TOF mass spectrometry data. Additionally, for the novel species scenario, neural networks with Monte Carlo dropout are successfully applied for the first time.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2021)
Review
Nutrition & Dietetics
Rebecca F. Townsend, Jayne V. Woodside, Federica Prinelli, Roisin F. O'Neill, Claire T. McEvoy
Summary: Dietary patterns may potentially influence cognitive aging and dementia risk through diet-related mechanisms. However, previous studies have shown mixed results, possibly due to limitations in cognitive testing methods. Neuroimaging techniques offer a sensitive approach to analyze brain changes and their relationship to dietary patterns.
FRONTIERS IN NUTRITION
(2022)
Article
Computer Science, Artificial Intelligence
Yongrong Zheng, Tao Zhang, Ying Fu
Summary: Flowers have significant value in our lives, and the HFD100 dataset of hyperspectral flower images plays an important role in flower classification and spectral analysis research.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Neurosciences
Sebastian Moguilner, Agustina Birba, Daniel Fino, Roberto Isoardi, Celeste Huetagoyena, Raul Otoya, Viviana Tirapu, Fabian Cremaschi, Lucas Sedeno, Agustin Ibanez, Adolfo M. Garcia
Summary: The study found that FLE patients exhibited specific and selective impairments in action comprehension, which were correlated with reduced integrity of the anterior thalamic radiation and hypoconnectivity between the primary motor cortex and the left parietal/supramarginal regions. Machine learning classifiers based on neurocognitive measures achieved high accuracy rates in discriminating different types of epilepsy patients.
Article
Engineering, Electrical & Electronic
Jiaqing Lv
Summary: In this paper, the problem of transient stability assessment is treated as a pattern recognition problem. The sparse logistic classifier is used to find the transient stability boundary (TSB) in large-scale power networks. The methodology demonstrates superior predictive classification accuracy in comparison to other competing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Review
Health Care Sciences & Services
Hussain Khalid Al-Arfaj, Abdulaziz Mohammad Al-Sharydah, Sari Saleh AlSuhaibani, Soliman Alaqeel, Tarek Yousry
Summary: Functional magnetic resonance imaging (fMRI) is a new advanced neuroimaging technique that allows physicians to plan and manage brain lesions in patients. This study reviewed available literature and resources to compile a comprehensive resource for physicians specializing in brain tumors and seizure disorders. The lack of studies on fMRI and its role in observing specific brain areas in surgical oncology and epilepsy patients was highlighted. Understanding the precise role of fMRI can ultimately enhance patient life expectancy and quality of life.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Genetics & Heredity
Seyoon Ko, Benjamin B. Chu, Daniel Peterson, Chidera Okenwa, Jeanette C. Papp, David H. Alexander, Eric M. Sobel, Hua Zhou, Kenneth L. Lange
Summary: This paper introduces an unsupervised and scalable method for selecting ancestry-informative SNP markers and estimating admixture proportions. The method, implemented in the open-source software OpenADMIXTURE, shows scalability to modern biobank datasets in simulated and real data examples.
AMERICAN JOURNAL OF HUMAN GENETICS
(2023)
Article
Computer Science, Information Systems
Ala'a Alzou'bi, Keng Hoon Gan
Summary: This article proposes a method to address the issue of irrelevant and noisy image content in image retrieval systems. The method extracts informative features from images and applies feature selection technique to localize landmarks, demonstrating comparable retrieval performance to benchmark systems and previous methods.
JOURNAL OF INFORMATION SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
Summary: This letter proposes a mutual multi-scale triplet graph convolutional network (MMTGCN) for analyzing functional and structural connectivity for brain disorder diagnosis. Experimental results demonstrate that MMTGCN outperforms several state-of-the-art methods in identifying three types of brain disorders.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Psychiatry
Jingnan Du, Lena Palaniyappan, Zhaowen Liu, Wei Cheng, Weikang Gong, Mengmeng Zhu, Jijun Wang, Jie Zhang, Jianfeng Feng
Summary: Schizophrenia is a neurocognitive illness characterized by dysconnectivity at the synaptic and brain network levels, with language deficits being a core feature even in the early stages of the disease. This study examined functional connectivity in two independent datasets of drug-naive first-episode schizophrenia patients, finding differences in connectivity patterns related to illness duration and genetic mutations, particularly in regions like Broca's area and the thalamus. The findings suggest the critical role of language network dysconnectivity in early schizophrenia and the impact of language-related genetic factors on this dysregulation.
Article
Psychiatry
Li He, Dongtao Wei, Fan Yang, Jie Zhang, Wei Cheng, Jianfeng Feng, Wenjing Yang, Kaixiang Zhuang, Qunlin Chen, Zhiting Ren, Yu Li, Xiaoqin Wang, Yu Mao, Zhiyi Chen, Mei Liao, Huiru Cui, Chunbo Li, Qinghua He, Xu Lei, Tingyong Feng, Hong Chen, Peng Xie, Edmund T. Rolls, Linyan Su, Lingjiang Li, Jiang Qiu
Summary: The study shows that the prepandemic functional connectome can predict pandemic-induced anxiety and was validated in external samples. However, it demonstrated poor performance in predicting daily anxiety. The connectome-based neuromarkers of pandemic-related anxiety were able to distinguish between individuals with generalized anxiety disorder and healthy controls.
AMERICAN JOURNAL OF PSYCHIATRY
(2021)
Article
Neurosciences
Edmund T. Rolls, Wei Cheng, Jianfeng Feng
Summary: Recent advancements in understanding brain dynamics have shed light on the operation of the cerebral cortex in both health and disease. Research shows that synchronized peaks in resting state fMRI BOLD signals can be observed in various brain areas, with early visual and connected areas having the highest probability of synchronization. Additionally, cortical areas with high likelihood of synchronized peaks and low temporal variability in connectivity are associated with high mean functional connectivity, contributing to our comprehension of cortical function in different conditions, including schizophrenia.
HUMAN BRAIN MAPPING
(2021)
Review
Clinical Neurology
Masoud Tahmasian, Andre Aleman, Ole A. Andreassen, Zahra Arab, Marion Baillet, Francesco Benedetti, Tom Bresser, Joanna Bright, Michael W. L. Chee, Daphne Chylinski, Wei Cheng, Michele Deantoni, Martin Dresler, Simon B. Eickhoff, Claudia R. Eickhoff, Torbjorn Elvsashagen, Jianfeng Feng, Jessica C. Foster-Dingley, Habib Ganjgahi, Hans J. Grabe, Nynke A. Groenewold, Tiffany C. Ho, Seung Bong Hong, Josselin Houenou, Benson Irungu, Neda Jahanshad, Habibolah Khazaie, Hosung Kim, Ekaterina Koshmanova, Desi Kocevska, Peter Kochunov, Oti Lakbila-Kamal, Jeanne Leerssen, Meng Li, Annemarie Luik, Vincenzo Muto, Justinas Narbutas, Gustav Nilsonne, Victoria S. O'Callaghan, Alexander Olsen, Ricardo S. Osorio, Sara Poletti, Govinda Poudel, Joyce E. Reesen, Liesbeth Reneman, Mathilde Reyt, Dieter Riemann, Ivana Rosenzweig, Masoumeh Rostampour, Amin Saberi, Julian Schiel, Christina Schmidt, Anouk Schrantee, Emma Sciberras, Tim J. Silk, Kang Sim, Hanne Smevik, Jair C. Soares, Kai Spiegelhalder, Dan J. Stein, Puneet Talwar, Sandra Tamm, Giana L. Teresi, Sofie L. Valk, Eus Van Someren, Gilles Vandewalle, Maxime Van Egroo, Henry Volzke, Martin Walter, Rick Wassing, Frederik D. Weber, Antoine Weihs, Lars Tjelta Westlye, Margaret J. Wright, Mon-Ju Wu, Nathalia Zak, Mojtaba Zarei
Summary: Advancements in neuroimaging and genetics studies have shed light on the neurobiology of sleep and its disorders. However, individual studies often face limitations in identifying consistent effects, calling for a large-scale multi-centre effort to increase sample sizes and harmonize methodologies. The ENIGMA consortium provides a collaborative framework for combining datasets across different sites, allowing for more comprehensive research on the neurobiology of impaired sleep quality and related disorders.
JOURNAL OF SLEEP RESEARCH
(2021)
Article
Neurosciences
Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng
Summary: This study analyzed large-scale resting-state functional magnetic resonance imaging data and identified transitions between sensory, somatomotor, and internal mentation networks in the resting brain. With increasing age, the internal mentation network becomes more prevalent, while sensory and somatomotor networks are more frequently expressed in younger individuals. The findings demonstrate the dynamic patterns of transition between functionally specialized brain states associated with age.
Article
Psychology, Developmental
Di Chen, Tianye Jia, Wei Cheng, Miao Cao, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Uli Bromberg, Christian Buchel, Sylvane Desrivieres, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Juliane H. Frohner, Michael N. Smolka, Henrik Walter, Robert Whelan, T. W. Robbins, Barbara J. Sahakian, Gunter Schumann, Jianfeng Feng
Summary: Using neuroimaging data, this study identified reduced activations in the medial frontal cortex and the thalamus during reward anticipation as neural biomarkers for persistent attention-deficit/hyperactivity disorder (ADHD) symptoms.
JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
(2022)
Article
Biochemistry & Molecular Biology
Jingnan Du, Edmund T. Rolls, Weikang Gong, Miao Cao, Deniz Vatansever, Jie Zhang, Jujiao Kang, Wei Cheng, Jianfeng Feng
Summary: The study showed that children of younger mothers tend to have more behavioral and cognitive problems, which are associated with lower volumes of certain cortical regions. The findings suggest that parental age is linked to behavioral issues and cognitive decline in children.
MOLECULAR PSYCHIATRY
(2022)
Article
Psychiatry
He-Ying Hu, Bang-Sheng Wu, Ya-Nan Ou, Ya-Hui Ma, Yu-Yuan Huang, Wei Cheng, Lan Tan, Jin-Tai Yu
Summary: Moderate tea consumption is significantly associated with a reduced risk of dementia, with middle-aged individuals and males benefiting more. There is a U-shaped association between tea consumption and dementia risk, with around three cups per day showing the strongest protective effect.
TRANSLATIONAL PSYCHIATRY
(2022)
Article
Psychiatry
He-Ying Hu, Ya-Ru Zhang, Qiaolifan Aerqin, Ya-Nan Ou, Zuo-Teng Wang, Wei Cheng, Jian-Feng Feng, Lan Tan, Jin-Tai Yu
Summary: There is a link between multimorbidity and dementia risk, with a higher risk for those with more chronic conditions. Cardio-cerebrovascular/respiratory/metabolic/musculoskeletal/depressive multimorbidity is associated with an increased risk of multiple subtypes of dementia.
TRANSLATIONAL PSYCHIATRY
(2022)
Article
Medicine, General & Internal
Jia You, Ya-Ru Zhang, Hui-Fu Wang, Ming Yang, Jian-Feng Feng, Jin-Tai Yu, Wei Cheng
Summary: In this study, a novel dementia prediction model was developed using machine learning and a comprehensive range of health-related data. The model showed high accuracy in predicting dementia and Alzheimer's Disease within five, ten, and longer years.
Article
Psychiatry
Ya-Nan Ou, Yi-Jun Ge, Bang-Sheng Wu, Yi Zhang, Yu-Chao Jiang, Kevin Kuo, Liu Yang, Lan Tan, Jian-Feng Feng, Wei Cheng, Jin-Tai Yu
Summary: Genome-wide association analysis revealed causal genetic variants associated with fornix diffusion magnetic resonance imaging traits, as well as genetic overlap with brain health-related traits. The study also highlighted specific genes and pathways related to cell development and differentiation.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Psychiatry
Ya-Nan Ou, Bang-Sheng Wu, Yi-Jun Ge, Yi Zhang, Yu-Chao Jiang, Kevin Kuo, Liu Yang, Lan Tan, Jian-Feng Feng, Wei Cheng, Jin-Tai Yu
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Neurosciences
Yu Guo, Xue-Ning Shen, Shu-Yi Huang, Shu-Fen Chen, Hui-Fu Wang, Wei Zhang, Ya-Ru Zhang, Wei Cheng, Mei Cui, Qiang Dong, Jin-Tai Yu
Summary: There is an urgent need for reliable biomarkers to diagnose multiple system atrophy (MSA) early and accurately. This study compared plasma biomarkers in distinguishing MSA from its mimics and healthy controls, and evaluated their performance in detecting disease severity and brain atrophy. Plasma neurofilament light (NfL) was found to be the most effective biomarker in distinguishing MSA from controls. GFAP and A beta 40 showed promise in distinguishing MSA-C and MSA-P from their respective mimics. Combining plasma markers improved discriminatory efficacy. Higher levels of GFAP and NfL were associated with brain atrophy and disease severity in MSA patients.
NPJ PARKINSONS DISEASE
(2023)
Article
Cell Biology
Yuzhu Li, Barbara J. Sahakian, Jujiao Kang, Christelle Langley, Wei Zhang, Chao Xie, Shitong Xiang, Jintai Yu, Wei Cheng, Jianfeng Feng
Summary: Sleep duration is closely connected with psychiatric disorders and dementias in older adults, with possible genetic mechanisms and brain structural changes underlying the relationship.
Correction
Cell Biology
Yuzhu Li, Barbara J. Sahakian, Jujiao Kang, Christelle Langley, Wei Zhang, Chao Xie, Shitong Xiang, Jintai Yu, Wei Cheng, Jianfeng Feng