ERP 07源分析和成分分析(包含ICA分析的步骤).ppt

文档介绍：ERP_07源分析和成分分析(包含ICA分析的步骤)
我们先读入了最原始的文件：

(nback是我们这个实验的名称)
Works in the EEGLab:EEGLab: Import
只有at 466, 360, 266, 226 and three blocks each at 186, 160, 146, 120, 106, 80, 66, 40 ms.
Each session: 28 blocks×40 trials
37
Methods
EEG recording session
128-channel HydroCel Geodesic Sensor Net (EGI)
Resistance below 50KΩ
Physically referenced to Cz and then off-line re-referenced to the average of the left and right mastoid channels.
Bandpass filter: to 200Hz
Sampling frequency: 500 Hz
Segment: 200ms before stimulus onset and 600ms after
Baseline: 200ms pre-stimulus and lasted for 200ms.
38
Time window
Electrodes
ANOVA
C1
68-84ms
Pz(62), POz(72), Oz(75)
Peak amplitude
P1
104-124ms
P1(60), Pz(62), P2(85)
Mean amplitude
The anterior P160-350
160-350ms
AF3(23), F3(24), AFz(16), Fz(11), AF4(3), F4(124)
Mean amplitude
The posterior P160-350
160-350ms
O1(70), 74, O2(83), 82
Mean amplitude
Methods
Channel groups used for analysis
Factors used in repeated-measurement ANOVA:
Session
Visual field
Hemisphere
Area
39
Results: behavioral
Long-term perceptual learning had taken place
Letter discrimination: >80% correct response
Session: F(5, 70)= , p<
Error bar: ±mean standard error
***
**
40
The improvement ratio of the averaged threshold SOA
% transfer to session6
% maintenance to session6
1- Tx / T1
41
Results: ERP
C1
session: F(5, 70)=, p=
visual field: F (1, 14)=, p=
42
C1 topographic map (68-84ms)
C1 peak amplitude
C1: no significant change
43
Source location by BESA
C1 (68-84ms, session1, the trained visual field)
Two dipoles: x=±, y=-, z= (. < %)
Location: Brodmann’s Area 17
V1
44
P1: small learning-related changes
session: F(5,70)=, p=
session1 vs. session2: p<
session1 vs. session5: p<
test II vs. 6th session: p<
45
Anterior P160-350: the upper left visual field
N=15
160ms
350ms
m