A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification by Xin Deng, Huaxiang Huo, Lijiao Ai, Daijiang Xu, Chenhui Li

“…Motor imagery (MI) is a crucial research field within the brain–computer interface (BCI) domain. It enables patients with muscle or neural damage to control external devices and achieve movement functions by simply imagining bodily motions. …”
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Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disord... by Yang Xiao, Mingzhu Li, Xiao Zhang, Yuyanan Zhang, Yuqi Ge, Zhe Lu, Mengying Ma, Yuqing Song, Hao-Yang Tan, Dai Zhang, Weihua Yue, Hao Yan

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Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data by José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos

“…Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in the analysis. …”
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Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s disease by Kara N. Presbrey, Kara N. Presbrey, Kara N. Presbrey, Thomas A. Wozny, Thomas A. Wozny, Kenneth H. Louie, Kenneth H. Louie, Simon Little, Simon Little, Philip A. Starr, Philip A. Starr, Reza Abbasi-Asl, Reza Abbasi-Asl, Doris D. Wang, Doris D. Wang

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Decoding Attentional State to Faces and Scenes Using EEG Brainwaves by Reza Abiri, Soheil Borhani, Yang Jiang, Xiaopeng Zhao

“…In the present study, we developed a new Brain-Computer Interface (BCI) platform to decode brainwave patterns during sustained attention in a participant. …”
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An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function by Ashley R. Brown, Ashley R. Brown, Grant A. Fox, Grant A. Fox, Irene M. Kaplow, Irene M. Kaplow, Irene M. Kaplow, Alyssa J. Lawler, Alyssa J. Lawler, BaDoi N. Phan, BaDoi N. Phan, BaDoi N. Phan, Lahari Gadey, Lahari Gadey, Morgan E. Wirthlin, Morgan E. Wirthlin, Easwaran Ramamurthy, Easwaran Ramamurthy, Gemma E. May, Ziheng Chen, Qiao Su, Qiao Su, C. Joel McManus, Robert van de Weerd, Robert van de Weerd, Andreas R. Pfenning, Andreas R. Pfenning, Andreas R. Pfenning

“…While genome-wide association studies are swiftly identifying non-coding human disease-associated loci, decoding regulatory mechanisms is challenging due to causal variant ambiguity and their specific tissue impacts.Methods: Massively parallel reporter assays (MPRAs) are widely used in cell culture to study the non-coding enhancer regions, linking genome sequence differences to tissue-specific regulatory function. …”
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Editorial: EEG rhythms: decoding the evolutionary enigma of alpha rhythms in vertebrates by Takashi Shibata, Takashi Shibata, Kaoru Takakusaki

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Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics by Christine Ecker, Charlotte M. Pretzsch, Johanna Leyhausen, Lisa M. Berg, Caroline Gurr, Hanna Seelemeyer, Grainne McAlonan, Nicolaas A. Puts, Eva Loth, Flavio Dell’Aqua, Luke Mason, Tony Charman, Bethany Oakley, Thomas Bourgeron, Christian Beckmann, Jan K. Buitelaar, Celso Arango, Tobias Banaschewski, Andreas G. Chiocchetti, Christine M. Freitag, Elke Hattingen, Dilja Krueger-Burg, Michael J. Schmeisser, Jonathan Repple, Andreas Reif, Declan G. Murphy

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Decoding cortical chronotopy—Comparing the influence of different cortical organizational schemes by Falko Mecklenbrauck, Jorge Sepulcre, Jana Fehring, Ricarda I. Schubotz

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Decoding ferroptosis in ischemic stroke: key genes and the therapeutic potential of acupuncture by Chunxiao Wu, Chunxiao Wu, Zhirui Xu, Qizhang Wang, Shuping Zhu, Chunzhi Tang

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Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry by Valeria Di Stefano, Martina D’Angelo, Francesco Monaco, Annarita Vignapiano, Vassilis Martiadis, Eugenia Barone, Michele Fornaro, Luca Steardo, Marco Solmi, Mirko Manchia, Luca Steardo

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Artificial intelligence in decoding muscle–organ crosstalk: Unveiling myokine networks and therapeutic frontiers by Ehsan Arabzadeh, Fatemeh Khanzadeh, Arezoo Kalhor

“…Skeletal muscle functions as an endocrine organ, secreting myokines that mediate crosstalk with organs like the brain, liver, adipose tissue, and vascular system, influencing metabolism, inflammation, and disease progression. …”
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Self-Supervised Learning to Unveil Brain Dysfunctional Signatures in Brain Disorders: Methods and Applications by Ying Li, Yanwu Yang, Yuchu Chen, Chenfei Ye, Ting Ma

“…Importance: Precisely decoding brain dysfunction from high-dimensional functional recordings is crucial for advancing our understanding of brain dysfunction in brain disorders. …”
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MCTGNet: A Multi-Scale Convolution and Hybrid Attention Network for Robust Motor Imagery EEG Decoding by Huangtao Zhan, Xinhui Li, Xun Song, Zhao Lv, Ping Li

“…Motor imagery (MI) EEG decoding is a key application in brain–computer interface (BCI) research. …”
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Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox. by João R Sato, Rodrigo Basilio, Fernando F Paiva, Griselda J Garrido, Ivanei E Bramati, Patricia Bado, Fernanda Tovar-Moll, Roland Zahn, Jorge Moll

“…In combination with improved computational approaches, such as pattern recognition analysis (e.g., Support Vector Machines, SVM), fMRI neurofeedback and brain decoding represent key innovations in the field of neuromodulation and functional plasticity. …”
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Decoding dengue’s neurological assault: insights from single-cell CNS analysis in an immunocompromised mouse model by Minyue Qiu, Lixin Zhao, Xiaojia Li, Yipei Fan, Minchi Liu, Dong Hua, Yunkai Zhu, Yinyin Liang, Yu Zhang, Wen Xiao, Xiaofeng Xu, Jintao Li

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Brain Representation in Conscious and Unconscious Vision by Ning Mei, David Soto

“…Recent functional MRI studies using multi-voxel pattern classification analyses showed that unconscious contents could be decoded from brain activity patterns. …”
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Shared and distinct brain activation patterns of acupoints HT7, ST36, and KI4: a task-based fMRI study by Liyu Hu, Liyu Hu, Jinhuan Zhang, Xiaoxiong Wu, Xingxian Huang, Xinbei Li, Xingchen Liu, Hanqing Lyu, Nan Yang, Jinping Xu, Haibo Yu

“…All subjects experienced deqi sensation without severe pain during the acupuncture sessions. Task-functional magnetic resonance imaging was performed to explore the common and specific brain activation networks. …”
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Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis by Chengpeng Li, Isao Hasegawa, Hisashi Tanigawa

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Opportunities and Challenges of Brain-on-a-Chip Interfaces by Wenwei Shao, Weiwei Meng, Jiachen Zuo, Xiaohong Li, Dong Ming

“…BoCIs aim to create an interactive bridge between lab-grown brains and the external environment, utilizing advanced encoding and decoding technologies alongside electrodes. …”
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