MRI, DTI, EEG, MEG, fMRI, MVPA
Structural magnetic resonance imaging (MRI)
- MRI is detecting content of hydrogen atoms in tissue
- It will detect the radio frequency signal of resonance frequency
Diffusion Tensor Imaging (DTI)
- DTI measures the direction and magnitude of water diffusion in the brain
- in isotropic and anisotropic environments
ElectroEncephaloGraphy
- Non-invasive, Can detect the spontaneous electrical activity of the brain
- Which represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex
- Can not detect activity in deep brain structures
MagnetoEncephaloGraphy
- Signal derives from net effect of ionic currents during synaptic transmission
Comparison: EEG, MEG, fMRI
- Cost: EEG < MEG/ fMRI
- Spatial resolution: EEG < MEG < fMRI
- Temporal resolution: fMRI < EEG/ MEG
- 说明EEG和MEG能够更快地捕捉神经活动的变化,而fMRI的时间分辨率低
Functional Magnetic Resonance imaging
- BOLD (blood oxygenation level dependent effect)
- 通过血氧情况,分析代谢,活动等情况
- 并不能直接和neural activity相关,只能correlated to it
- fMRI的关键概念:
- Voxels:三维空间的体积像素
- planes: like coronal plane, horizontal plane, Sagittal plane
- 通过参考标准化的坐标系统,确定不同区域的位置:
- Montreal Neurological Institute space (152 normal scans, average)
- Talairach space: one dissected and photographed brain
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- 统计推断
- Betas: can be calculated from raw data, which represents the activity strength of specific regions
- calculated by generalized linear model
- Beta值代表了大脑区域对特定条件的激活强度
- 这些检验帮助确定了大脑区域在特定任务中显著活跃
- Two types of corrections:
- Whole brain correction
- Small volume correction
- Two analysis method in fMRI
- Mass-univariate approach
- conventional
- Data is smoothed and averaged across subjects
- Can analyze groups differences voxel by voxel, based on average activity level
- Multi-voxel pattern analysis (MVPA)
- 行为预测基于局部或者全局
- 两种不同的刺激可能激活相同的脑区(平均活动相似),但激活模式不同,MVPA能够区分这些模式并将其与不同的认知状态或刺激关联起来。