21 papers · ranked by Valyu relevance
Vaibhavi S. Itkyal, Armin Iraji, Kyle M. Jensen, Theodore J. LaGrow + 26 more
Understanding white matter (WM) functional connectivity is crucial for unraveling brain function and dysfunction. In this study, we present a novel WM intrinsic connectivity network (ICN) template derived from over 100,000 fMRI scans, identifying 97 robust WM ICNs using spatially constrained independent component…
Anna-Lisa Schuler, Ella Teuscher, Nicola Filippini
The choice of control conditions can significantly influence the outcomes of functional MRI (fMRI) studies. Moreover, especially in language experiments, the sensory modality (auditory, visual) of stimuli might have an influence on experimental results. In this study we leverage a repository dataset (Mother of…
Sasideep Pasumarthi, Satwik Bathula, Nitya Tiwari, Himanshu Padole
Objective Recent advances in neuroimaging have highlighted the growing utility of resting-state functional magnetic resonance imaging (rs-fMRI) as an alternative to task-based fMRI. In addition to being simpler, cost-effective, and time-efficient, rs-fMRI is particularly advantageous for non-compliant populations such…
Bassel Arafat, Caroline Nettekoven, Jinkang Derrick Xiang, Jörn Diedrichsen
Functional brain mapping is an important tool to understand the organization of the human brain, both at the group level, but also to an increasing degree at the level of the individual. There are currently two main approaches to do so. Resting-state fMRI relies on inter-regional correlations of random fluctuations of…
Peiyu Duan, Jiyao Wang, Nicha C. Dvornek, Junlin Yang + 3 more
Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and difficult to acquire at scale, motivating rest-to-task synthesis from widely available resting-state fMRI (rsfMRI). We propose FM-fMRI, an event-conditioned flow-matching model that learns a continuous-time conditional…
Spencer Wadsworth, Nabin Koirala, Nicole Landi, Ofer Harel
Detecting shared neural activity from functional magnetic resonance imaging (fMRI) across individuals exposed to the same stimulus can reveal synchronous brain responses, functional roles of regions, and potential clinical biomarkers. Intersubject correlation (ISC) is the main method for identifying voxelwise shared…
Giovanni Rabuffo, Irene Acero-Pousa, Tomas Berjaga-Buisan, Gustavo Deco
Brain stimulation has transformed the treatment of several neurological and psychiatric disorders and is now widely used to read out causal interactions in the human brain. However, its effects vary from one trial to the next, even when the stimulation parameters are kept identical. Identifying the sources of this…
Da Zhi, Jingnan Du, Susan Whitfield-Gabrieli, Jörn Diedrichsen + 1 more
Individual-specific cortical parcellations enable the characterization of brain network organization that is often obscured by population-level atlases, with broad implications for both basic neuroscience and translational applications. However, existing methods rely primarily on resting-state fMRI and underutilize…
Harun Kocataş, Mohamed Abdelmotaleb, Leonardo M. Caisachana Guevara, Filip Niemann + 8 more
Linking word-forms and their meanings is central to language learning. Transcranial direct current stimulation (tDCS), has shown potential to enhance this process, but with variable effects. This study aimed to (1) identify reliable and functionally relevant tDCS target brain regions to enhance novel-word learning and…
Sarah Yale, Jeffrey Engelmann, Michelle Loman, DaJhnae Gambrell Sanders + 4 more
Introduction: Electronic nicotine delivery systems (ENDSs), also known as e-cigarettes or vapes, have shown popularity among the adolescent population. Compared to adults, less is known regarding the impacts of ENDS and nicotine on the adolescent brain. Adolescent research related to nicotine and other illicit…
Jennifer Malsert, Vincent Rochas, Tonia Rihs, Swann Pichon + 1 more
Past research has provided conflicting evidence concerning whether emotional processing in the amygdala arises independent of selective attention to threat-related stimuli or instead depends on attentional resources and top-down voluntary control. Here, we combine repetitive transcranial magnetic stimulation (rTMS)…
Mohammad Torabi, Jean-Baptiste Poline, Georgios D. Mitsis
Dynamic functional connectivity (dFC) - the time-varying reconfiguration of brain network interactions - has become a widely adopted method for studying how neural dynamics reflect ongoing cognition. Yet a fundamental question remains unresolved: can dFC reliably track when a person is cognitively engaged, and if not…
Junfeng Xia, Wendu Li, Mengjiao Zhang, Jie Guo
Cognitive tasks are organized by shared and specialized neural processes. Masked fMRI reconstruction provides a common self-supervised objective for quantifying transfer relations among task states, but existing reconstruction-based taskonomies mainly study one-to-one transfer from a single source task to a target.…
Maya Zheltyakova, Maxim Kireev, Artem Myznikov, Ruslan Masharipov + 3 more
BOLD signal changes in the Theory of Mind (ToM) network often reflect reduced deactivation during target conditions, yet these below-baseline effects remain largely unaddressed. Using fMRI data from an extended version of the Reading the Mind in the Eyes Test, we examined task-modulated functional connectivity (TMFC)…
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Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and widespread neurovascular disturbances. Traditional fMRI provides valuable spatial maps of blood-oxygen-level-dependent (BOLD) changes but often lacks the capacity to quantify the interplay of cerebral blood flow…
Yuxiang Wei, Yanteng Zhang, Xi Xiao, Qian + 3 more
Recent advances in multimodal large language models (LLMs) have enabled unified reasoning across images, audio, and video, but extending such capability to brain imaging remains largely unexplored. Bridging this gap is essential to link neural activity with semantic cognition and to develop cross-modal brain…
Runhao Lu, Moataz Assem, Xiaobo Liu, John Duncan + 1 more
The human brain demonstrates remarkable flexibility and capacity for domain-general cognitive control, allowing us to perform diverse and complex tasks. Central to this ability is the multiple- demand (MD) network, a domain-general system that is robustly engaged during demanding tasks in fMRI studies. However, the…
Runhao Lu, Emily Davidson, Jonah Miller-Smith, Dian Lyu + 7 more
Reasoning about others’ thoughts or beliefs is central to human social behavior. This ability, known as theory of mind (ToM), has been primarily attributed to cortical regions of the default network (DN). However, whether and how subcortical structures, particularly the thalamus, contribute to this high-level…
Lan Yang, Minghan Yang, Ke Li, Honggang Zhang + 2 more
—Recent advances in fMRI-based image reconstruction have achieved remarkable photo-realistic fidelity. Yet, a persistent limitation remains: while reconstructed images often appear naturalistic and holistically similar to the target stimuli, they frequently suffer from severe semantic misalignment – salient objects are…
Rishab S. Iyer, Jiaxin Cindy Tu, Cesar Kadir Torrico Villanueva, Anish Mahishi + 9 more
Real-time closed-loop neurofeedback based on functional magnetic resonance imaging (fMRI) has led to important scientific and clinical advances. However, the sophistication of the analysis methods used in real-time fMRI lags behind the state-of-the-art in fMRI decoding, largely due to computational factors: Most…
Jiahong Zhang, Jinning Zhao, Sijun Shen, Siyuan Xu + 2 more
Functional magnetic resonance imaging (fMRI)-based visual decoding aims to recover visual information from measured brain activity, commonly by mapping fMRI responses into latent visual features for downstream decoding tasks. Most existing methods learn mappings from fMRI responses to visual features extracted by…