# data[].attributes.headline
FMRI-> functional images, 11 scans for every image 

# data[].attributes.subject
FMRI-> functional images, 11 scans for every image 

# data[].attributes.headline
8 MRI slices/scans of each participant's brain were taken 

# data[].attributes.subject
8 MRI slices/scans of each participant's brain were taken 

# data[].attributes.body
this is in order to make sure there were no brain abnormalities

# data[].attributes.headline
MRI-> structural image, 8 slices for each part 

# data[].attributes.subject
MRI-> structural image, 8 slices for each part 

# data[].attributes.body
1. right-handed
2. healthy
3. females

# data[].attributes.headline
data was collected on if the image was familiar, forgotten or remembered 

# data[].attributes.subject
data was collected on if the image was familiar, forgotten or remembered 

# data[].attributes.headline
pictures were viewed for 2.88 seconds then 12.96 seconds of fixation cross 

# data[].attributes.subject
pictures were viewed for 2.88 seconds then 12.96 seconds of fixation cross 

# data[].attributes.body
makes the investigation less generalizable (to left-handed women/ men/ etc)

# data[].attributes.headline
normative arousal: tranquil -> highly arousal 1.97-7.63 

# data[].attributes.subject
normative arousal: tranquil -> highly arousal 1.97-7.63 

# data[].attributes.body
1. fMRI measure of amygdala activation
2. Memory of scene (remembered/familiar/forgotten)

# data[].attributes.body
Negative (1.17)
Neutral (5.44)

# data[].attributes.headline
96 images were randomised in order to reduce order effects

# data[].attributes.subject
96 images were randomised in order to reduce order effects

# data[].attributes.body
Since the study is a repeated measures design, randomizing the order of the images will ensure that participants are in-fact responding to each image and not according to the order of the images. Making sure that the amygdala is activated as result of viewing each image and not a result of the order in which images are viewed.

# data[].attributes.headline
3 weeks after image-> unexpected recognition test 

# data[].attributes.subject
3 weeks after image-> unexpected recognition test 

# data[].attributes.body
in order to reduce participant movement during the scan and increase reliability of the scans

# data[].attributes.headline
Participants were asked to keep looking at the image the entire time it was shown. 

# data[].attributes.subject
Participants were asked to keep looking at the image the entire time it was shown. 

# data[].attributes.body
Standardization

# data[].attributes.headline
Once the image disappeared , a fixation cross appeared on screen and participants were asked to look at it for 12.96 seconds 

# data[].attributes.subject
Once the image disappeared , a fixation cross appeared on screen and participants were asked to look at it for 12.96 seconds 

# data[].attributes.headline
8 MRI scans done once for every participant

# data[].attributes.subject
8 MRI scans done once for every participant

# data[].attributes.headline
Why females? They are more likely to report intense emotional experiences 

# data[].attributes.subject
Why females? They are more likely to report intense emotional experiences 

# data[].attributes.headline
images are shown to the participants again, and they are asked if they recognize it 

# data[].attributes.subject
images are shown to the participants again, and they are asked if they recognize it 

# data[].attributes.headline
Interval of 12.96 seconds between images-LZ

# data[].attributes.subject
Interval of 12.96 seconds between images-LZ

# data[].attributes.headline
once the image disappears, a fixation cross appears on screen

# data[].attributes.subject
once the image disappears, a fixation cross appears on screen

# data[].attributes.headline
After images disappeared, while the fixation cross is on the screen, images were rated by participants from 0-3 (0 being least emotionally intense, 3 being the most emotionally intense) 

# data[].attributes.subject
After images disappeared, while the fixation cross is on the screen, images were rated by participants from 0-3 (0 being least emotionally intense, 3 being the most emotionally intense) 

# data[].attributes.headline
The images were rated by pressing a button with their right hand

# data[].attributes.subject
The images were rated by pressing a button with their right hand

# data[].attributes.headline
if "yes"to recognized and "no" to certainty degree       -> recorded as " Familiar" 

# data[].attributes.subject
if "yes"to recognized and "no" to certainty degree       -> recorded as " Familiar" 

# data[].attributes.headline
3 weeks after the first part of the procedure they were given an unexpected recognition test 

# data[].attributes.subject
3 weeks after the first part of the procedure they were given an unexpected recognition test 

# data[].attributes.headline
if "yes" to recognized, they are asked if certain if "yes" too-> its recorded as "remembered" 

# data[].attributes.subject
if "yes" to recognized, they are asked if certain if "yes" too-> its recorded as "remembered" 

# data[].attributes.headline
48 foils were added to the 96 images used in the study 

# data[].attributes.subject
48 foils were added to the 96 images used in the study 

# data[].attributes.headline
foils were not seen before by participants 

# data[].attributes.subject
foils were not seen before by participants 

# data[].attributes.body
they had the same normative and arousal ratings as the 96 images

Controls and Standardization

# data[].attributes.headline
Image is shown- they are asked if they remember seeing it. If 'yes' asked if certain. If 'yes' image is coded as remembered 

# data[].attributes.subject
Image is shown- they are asked if they remember seeing it. If 'yes' asked if certain. If 'yes' image is coded as remembered 

# data[].attributes.body
Data Collected

# data[].attributes.headline
If they answer 'no' to the degree of certainty, the image is coded as familiar 

# data[].attributes.subject
If they answer 'no' to the degree of certainty, the image is coded as familiar 

# data[].attributes.headline
if the image is not remembered at all-> "Forgotten"

# data[].attributes.subject
if the image is not remembered at all-> "Forgotten"

# data[].attributes.body
data collected

# data[].attributes.headline
If image is not remembered at all- coded as forgotten 

# data[].attributes.subject
If image is not remembered at all- coded as forgotten 