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Towards an Estimate of the Neural Information of the BOLD Signal
Published on Feb 4, 20252348 Views
The blood oxygen level dependent (BOLD) signal as measured by functional magnetic resonance imaging (fMRI) has become a standard marker of neural activity. The relationship between neural activity and
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Presentation
Towards an estimate of the neural information of the BOLD signal00:00
How much neural information can we extract from fMRI signals?00:10
Outline01:04
Analysis of Multimodal Neuroimaging Data (1)02:22
Analysis of Multimodal Neuroimaging Data (2)02:23
Standard Model of Neurovascular Coupling03:55
When Canonical HRF Models Fail05:07
A Data-driven Approach to Multimodal Neuroimaging (1)07:05
A Data-driven Approach to Multimodal Neuroimaging (2)07:07
Temporal Kernel Canonical Correlation Analysis07:32
Summary tkCCA10:17
Decoding Neural Information from fMRI Signals (1)10:31
Decoding Neural Information from fMRI Signals (2)10:36
Decoding Neural Information: Workflow11:32
Predicting Neural Amplitude from fMRI12:38
Information Measures13:35
Neural Information in fMRI Signals14:42
Which Neural Features are Reflected in fMRI?15:29
Phase And Amplitude of Neural Oscillations15:30
Neural Frequencies Reflected in fMRI16:04
Is Neural Amplitude Enough?16:35
Phase Synchronization17:30
Phase Synchronization Measures on Real Data18:14
Effect of Phase Synchronization18:53
Which fMRI Features Carry Neural Information?19:11
Beyond Canonical HRF Models19:17
Non-separable and separable HRFs20:07
TkCCA vs Canonical HRF Models22:00
Optimal Preprocessing for fMRI Decoding22:44
Effects of Spatial and Temporal Smoothing23:28
Effect of Searchlight Radius24:54
How Much Neural Information is in fMRI signals?25:55
Mutual Information Estimates26:08
Mutual Information Estimates: EEG-fMRI27:08
Linear and Nonlinear Decoding Models28:03
Summary29:06
Acknowledgements30:52
Thank You31:10