fMRI: Analyses
Digital Poster
Brain Function & fMRI
Monday, 11 May 2026
This session covers state-of-the-art fMRI data analysis methods.
Skill Level: Basic
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364-01-001.
Self-Regulating AI Agent for End-to-End Multi-model MRI Diagnostic Analysis of Neurodegenerative Diseases
Impact: Creates a self-regulating loop from MRI reconstruction to diagnosis, establishing a new paradigm for intelligent imaging.
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364-01-002.
MeshD²R：Mesh-guided Dual-resolution Diffusion Reconstruction of Visual Stimuli from BOLD-fMRI Signals
Impact: This work enables more accurate visual decoding of brain activity, paving the way for new neuroscience research and future clinical technologies like communication aids for paralyzed patients.
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364-01-003.
Sensitivity and Specificity Comparison of Real-Time and Offline Resting-State fMRI Analysis Pipelines using ROC Analysis
Impact: This study demonstrates that real-time rsfMRI analysis approaches the
sensitivity and specificity of state-of-the-art offline analysis
pipelines. Toolbox differences are dominated by differences in spatial
co-registration that are sensitive to volume coverage.
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364-01-004.
Altered Neurovascular Coupling in Relation to Spatial Navigation in Subjective Cognitive Decline: Insights from 5.0Tesla MRI
Impact: Our 5T MRI study identifies impaired neurovascular coupling and its association with spatial navigation deficits as a key early event in SCD. This provides a novel multimodal imaging marker to advance preclinical Alzheimer's detection and prevention.
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364-01-005.
Effect of Visual Task on Precuneus Sub-Region Metabolism Measured with Hyperpolarized [1-13C]-Pyruvate MRI
Impact: Evaluation of the metabolism of the
sub-regions of the precuneus lays the foundation for the use of these regions
as predictive biomarkers for diseases, such as Alzheimer’s disease, where
hypometabolism in the precuneus is characteristic before the onset of symptoms.
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364-01-006.
Orbitofrontal TMS Engages Fronto-limbic Circuits Relevant to Depression: Evidence from interleaved TMS-fMRI
Impact: AF8 and F8 are clinically used targets to treat depression with TMS, our work suggests F8 as a superior cortical entry point into lOFC-striatal circuit than AF8, informing precision targeting to enhance therapeutic efficacy in treatment-resistant depression.
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364-01-007.
Activation Spread due to Local Low-Rank Denoising in SMS-EPI Task-Based fMRI Data
Impact: Low-rank denoising in fMRI improves sensitivity, but may also produce false positive activation spread. Understanding the effect of low-rank denoising can help researchers more accurately identify activation regions to interpret brain activity.
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364-01-008.
Neural-Behavioral Decoupling in Apathy in Parkinson's Disease: A Co-activation Pattern Study
Impact: By revealing a complete brain-behavior decoupling, our work provides a systems-level perspective on PD apathy. This shifts the research focus from regional deficits to impaired neural communication as the ultimate cause.
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364-01-009.
Mapping Cerebrovascular Reactivity and Vascular Delay across Glioma Subregions Using Multi-Echo BOLD fMRI with Breath-holding
Impact: This study demonstrates the feasibility of assessing cerebrovascular reactivity and vascular delay in glioma using multi-echo BOLD-fMRI during breath-holds. While CVR reductions were detected within tumors, subregional differences were inconsistent, calling for improved methods and modeling of heterogenous vascular alterations
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364-01-010.
Safety Evaluation of Active Spinal Cord Stimulation During Brain fMRI on a Compact 3T MRI System
Impact:
Our results indicate that compact 3T MRI system enables safe fMRI scanning with high-performance neuroimaging gradients in patients during active spinal cord stimulation, representing a significant step toward broader imaging access and real-time evaluation of neuromodulation therapies. |
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364-01-011.
A modified white-matter and CSF regression approach for better physiological denoising in resting-state fMRI.
Impact: This study introduces a data-driven fMRI denoising method that accounts for time delays in physiological signal propagation through white matter (WM) and cerebrospinal fluid (CSF). The approach outperformed conventional WM-CSF regression and aCompCor, enhancing the accuracy of resting-state fMRI analysis.
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364-01-012.
Neurofunctional dysregulations in nonsuicidal self-injury and suicide attempt: an fMRI meta-analysis
Impact: This
meta-analysis reveals separable brain activation patterns distinguishing
nonsuicidal self-injury from suicide attempts, suggesting they arise from distinct
neurobiological dysfunctions rather than representing a behavioral continuum. These findings highlight the potential of neuroimaging
biomarkers for differential diagnosis and personalized interventions.
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364-01-013.
A deep-learning model to enhance the quality and fidelity of resting-state cerebrovascular reactivity quantification
Impact: This study introduces a deep learning approach that enhances cerebrovascular reactivity (CVR) maps derived from resting-state fMRI, making them comparable to standard CO2-based methods. This improvement could enable broader and easier assessment of vascular brain health without gas-delivery equipment.
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364-01-014.
Integrated Macro- and Microstructural Gradients Reveal Complementary Contributions to Cortical Functional Hierarchy
Impact: Integration of macro-
and microstructural metrics provides complementary cortical characterization. The unified macro–micro structural gradients align
with functional organization, revealing complementary contributions from
diffusivity, morphology, and anisotropy, and establishing a framework
extendable to neurodegenerative and psychiatric disorder studies.
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