Motor imagery decoding network with multisubject dynamic transfer by Zhi Li, Mingai Li, Yufei Yang

“…Abstract Brain computer interface (BCI) provides a promising and intelligent rehabilitation method for motor function, and it is crucial to acquire the patient’s movement intentions accurately through decoding motor imagery EEG (MI-EEG) . …”
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Decoding ozone's impact on the cornea: disruption of barrier integrity and its molecular drivers by Yi Tian, Liping Li, Zhongmou Sun, Jiamin Liu, Chen Qiu, Ji Zhou, Xinghuai Sun, Yuan Lei

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The role of fMRI in the mind decoding process in adults: a systematic review by Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri, Khaled Majed Bamusa, Ziyad Faiz Almalki, Sultan Alamri, Ahmad Joman Alghamdi, Mohammed Alhazmi, Hamid Osman, Mayeen U. Khandaker

“…Background Functional magnetic resonance imaging (fMRI) has revolutionized our understanding of brain activity by non-invasively detecting changes in blood oxygen levels. …”
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Neurons throughout the brain embed robust signatures of their anatomical location into spike trains by Gemechu Bekele Tolossa, Aidan M Schneider, Eva Dyer, Keith B Hengen

“…This discovery provides new insights into the relationship between brain structure and function, with broad implications for neurodevelopment, multimodal integration, and the interpretation of large-scale neuronal recordings. …”
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Deep Brain Stimulation and Brain–Spine Interface for Functional Restoration in Spinal Cord Injury by Barnabas T. Shiferaw, Max Y. Jin, Milan Patel, Lukas J. Henjum, Alaa Abd-Elsayed

“…Recent advancements in neuromodulation technologies, such as brain-spine interface (BSI), epidural electrical stimulation (EES), and deep brain stimulation (DBS), offer promising solutions. …”
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The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI by Xiaopeng Si, Yumeng Han, Sicheng Li, Shuai Zhang, Dong Ming

Subjects: “…Affective brain–computer interface (aBCI)…”
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MRCPs-and-ERS/D-Oscillations-Driven Deep Learning Models for Decoding Unimanual and Bimanual Movements by Jiarong Wang, Luzheng Bi, Aberham Genetu Feleke, Weijie Fei

“…Motor brain-computer interface (BCI) can intend to restore or compensate for central nervous system functionality. …”
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Covariance-based decoding reveals a category-specific functional connectivity network for imagined visual objects by Francesco Mantegna, Emanuele Olivetti, Philipp Schwedhelm, Daniel Baldauf

“…In this magnetoencephalography study, we used a minimally constrained experimental paradigm wherein imagery categories were prompted using visual word cues only, and we decoded face versus place imagery based on their underlying functional connectivity patterns as estimated from the spatial covariance across brain regions. …”
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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms. by Ayşenur Eser, Sinem Burcu Erdoğan

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Neural decoding of Aristotle tactile illusion using deep learning-based fMRI classification by Eunji Lee, Eunji Lee, Ji-Hyun Kim, Jaeseok Park, Jaeseok Park, Sung-Phil Kim, Taehoon Shin, Taehoon Shin, Taehoon Shin

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Decoding motor execution and motor imagery from EEG with deep learning and source localization by Sina Makhdoomi Kaviri, Ramana Vinjamuri

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Ultra high density imaging arrays in diffuse optical tomography for human brain mapping improve image quality and decoding performance by Zachary E. Markow, Jason W. Trobaugh, Edward J. Richter, Kalyan Tripathy, Sean M. Rafferty, Alexandra M. Svoboda, Mariel L. Schroeder, Tracy M. Burns-Yocum, Karla M. Bergonzi, Mark A. Chevillet, Emily M. Mugler, Adam T. Eggebrecht, Joseph P. Culver

“…Abstract Functional magnetic resonance imaging (fMRI) has dramatically advanced non-invasive human brain mapping and decoding. …”
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Deep learning-based electroencephalic decoding of the phase-lagged transcranial alternating current stimulation by Jeongwook Kwon, Byoung-Kyong Min, Byoung-Kyong Min

“…We investigated whether the phase-lag types of cross-frequency coupled alternating current stimulation (CFC-tACS), a non-invasive technique aimed at enhancing cognitive functions, could be decoded using task-based electroencephalographic (EEG) signals. …”
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Decoding and generating synergy-based hand movements using electroencephalography during motor execution and motor imagery by Dingyi Pei, Ramana Vinjamuri

“…Brain-machine interfaces (BMIs) have proven valuable in motor control and rehabilitation. …”
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Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding by Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu

“…Decoding motor imagery electroencephalography (MI-EEG) signals presents significant challenges due to the difficulty in capturing the complex functional connectivity between channels and the temporal dependencies of EEG signals across different periods. …”
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Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics by Zhongkai Zhou, Wei Wang, Hui Li, Ying Shi, Lingling Zhao, Yibo Lu, Xingchen Wei, Hongjun Li

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Improved image reconstruction from brain activity through automatic image captioning by Fatemeh Kalantari, Karim Faez, Hamidreza Amindavar, Soheila Nazari

“…Abstract Significant progress has been made in the field of image reconstruction using functional magnetic resonance imaging (fMRI). Certain investigations reconstructed images with visual information decoded from brain signals, yielding insufficient accuracy and quality. …”
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Decoding the striatum of drug-naive patients with obsessive-compulsive disorder: a transcriptome and longitudinal functional magnetic resonance imaging study by Yiding Han, Haohao Yan, Xiaoxiao Shan, Huabing Li, Feng Liu, Ping Li, Dongsheng Lv, Jingping Zhao, Wenbin Guo

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Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer by Rafat Damseh, Abdelhadi Hireche, Parikshat Sirpal, Abdelkader Nasreddine Belkacem

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Decoding serotonin: the molecular symphony behind depression by Yue Shu, Lei Tian, Xing Wang, Tinyang Meng, Shouyang Yu, Yulan Li

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