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Many fMRI analyses examine functional connectivity, or statistical dependencies among remote brain regions. Yet popular methods for studying whole-brain functional connectivity often yield results that are difficult to interpret. Factor…

Methodology · Statistics 2024-09-24 Kyle Stanley , Nicole Lazar , Matthew Reimherr

The human brain is a complex and highly dynamic system, and our current knowledge of its functional mechanism is still very limited. Fortunately, with functional magnetic resonance imaging (fMRI), we can observe blood oxygen level-dependent…

Neurons and Cognition · Quantitative Biology 2024-12-31 Yifei Sun , Mariano Cabezas , Jiah Lee , Chenyu Wang , Wei Zhang , Fernando Calamante , Jinglei Lv

Dynamic functional connectivity analysis provides valuable information for understanding brain functional activity underlying different cognitive processes. Besides sliding window based approaches, a variety of methods have been developed…

Computer Vision and Pattern Recognition · Computer Science 2018-09-18 Hongming Li , Yong Fan

Functional Magnetic Resonance Imaging~(fMRI) is widely used to study activation in the human brain. In most cases, data are commonly used to construct activation maps corresponding to a given paradigm. Results can be very variable, hence…

Applications · Statistics 2022-05-04 Ranjan Maitra

Over the last twenty five years, advances in the collection and analysis of fMRI data have enabled new insights into the brain basis of human health and disease. Individual behavioral variation can now be visualized at a neural level as…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Matthew Kollada , Qingzhu Gao , Monika S Mellem , Tathagata Banerjee , William J Martin

Functional magnetic resonance imaging (fMRI) is a crucial technology for gaining insights into cognitive processes in humans. Data amassed from fMRI measurements result in volumetric data sets that vary over time. However, analysing such…

Neurons and Cognition · Quantitative Biology 2020-10-23 Bastian Rieck , Tristan Yates , Christian Bock , Karsten Borgwardt , Guy Wolf , Nicholas Turk-Browne , Smita Krishnaswamy

Predicting behavioral variables from neuroimaging modalities such as magnetic resonance imaging (MRI) has the potential to allow the development of neuroimaging biomarkers of mental and neurological disorders. A crucial processing step to…

Neurons and Cognition · Quantitative Biology 2025-07-29 Mikkel Schöttner Sieler , Thomas A. W. Bolton , Jagruti Patel , Patric Hagmann

Many analyses of functional magnetic resonance imaging (fMRI) examine functional connectivity (FC), or the statistical dependencies among distant brain regions. These analyses are typically exploratory, guiding future confirmatory research.…

Applications · Statistics 2025-10-20 Kyle Stanley , Nicole Lazar , Matthew Reimherr

Fatigue is a broad, multifactorial concept that includes the subjective perception of reduced physical and mental energy levels. It is also one of the key factors that strongly affect patients' health-related quality of life. To date, most…

Human-Computer Interaction · Computer Science 2021-08-10 Yang Bai , Yu Guan , Jian Qing Shi , Wan-Fai Ng

Functional magnetic resonance imaging (fMRI) is a powerful tool for probing brain function, yet reliable clinical diagnosis is hampered by low signal-to-noise ratios, inter-subject variability, and the limited frequency awareness of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Junhao Jia , Yifei Sun , Yunyou Liu , Cheng Yang , Changmiao Wang , Feiwei Qin , Yong Peng , Wenwen Min

A fundamental challenge in neuroscience is to decode mental states from brain activity. While functional magnetic resonance imaging (fMRI) offers a non-invasive approach to capture brain-wide neural dynamics with high spatial precision,…

Image and Video Processing · Electrical Eng. & Systems 2025-07-31 Yueh-Po Peng , Vincent K. M. Cheung , Li Su

Functional magnetic resonance imaging (fMRI) has been commonly used to construct functional connectivity networks (FCNs) of the human brain. TFCNs are primarily limited to quantifying pairwise relationships between ROIs ignoring higher…

Signal Processing · Electrical Eng. & Systems 2025-07-15 Duc Vu , Selin Aviyente

Understanding how the brain encodes external stimuli and how these stimuli can be decoded from the measured brain activities are long-standing and challenging questions in neuroscience. In this paper, we focus on reconstructing the complex…

Neurons and Cognition · Quantitative Biology 2022-10-05 Sikun Lin , Thomas Sprague , Ambuj K Singh

Functional magnetic resonance imaging (fMRI) techniques have contributed significantly to our understanding of brain function. Current methods are based on the analysis of \emph{gradual and continuous} changes in the brain blood oxygenated…

Neurons and Cognition · Quantitative Biology 2011-07-25 Enzo Tagliazucchi , Pablo Balenzuela , Daniel Fraiman , Dante R. Chialvo

In daily life, we encounter diverse external stimuli, such as images, sounds, and videos. As research in multimodal stimuli and neuroscience advances, fMRI-based brain decoding has become a key tool for understanding brain perception and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Pengyu Liu , Guohua Dong , Dan Guo , Kun Li , Fengling Li , Xun Yang , Meng Wang , Xiaomin Ying

In recent years,the application of deep learning in task functional Magnetic Resonance Imaging (tfMRI) decoding has led to significant advancements. However,most studies remain constrained by assumption of temporal stationarity in neural…

Machine Learning · Computer Science 2025-03-05 Yueyang Wu , Sinan Yang , Yanming Wang , Jiajie He , Muhammad Mohsin Pathan , Bensheng Qiu , Xiaoxiao Wang

Functional Magnetic Resonance Imaging (fMRI) is an advanced neuroimaging method that enables in-depth analysis of brain activity by measuring dynamic changes in the blood oxygenation level-dependent (BOLD) signals. However, the…

Machine Learning · Computer Science 2025-09-26 Hwa Hui Tew , Junn Yong Loo , Yee-Fan Tan , Xinyu Tang , Hernando Ombao , Fuad Noman , Raphael C. -W. Phan , Chee-Ming Ting

Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels during hundreds of sequential time points. One approach…

Neurons and Cognition · Quantitative Biology 2008-01-16 Francois G. Meyer , Greg J. Stephens

Human memory -- the learning of new information involves changes at the synaptic level between neurons dedicated for storage of in-formation. Generally, memory is classified as Long-Term Memory and Short-Term Memory. The various types of…

Neurons and Cognition · Quantitative Biology 2019-05-07 Qazi Emad-Ul-Haq , Muhammad Hussain , Hatim Aboalsamh , Saeed Bamatraf , Aamir Saeed Malik , Hafeez Ullah Amin

Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual cortex responses to stimuli, yet such experiments are by nature constructed based on a priori hypotheses, limited to the set of images presented to the…

Neurons and Cognition · Quantitative Biology 2021-05-18 Zijin Gu , Keith W. Jamison , Meenakshi Khosla , Emily J. Allen , Yihan Wu , Thomas Naselaris , Kendrick Kay , Mert R. Sabuncu , Amy Kuceyeski
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