PointReturn.md

PointReturn

Properties

Name	Type	Description	Notes
coordinates	List[Optional[float]]	Location of the significant coordinate in three dimensional space.	[optional]
space	str	Template space used to determine coordinate Examples include TAL or MNI.	[optional]
kind	str	Method of how point was derived (e.g., center of mass)	[optional]
label_id	str	If the point is associated with an image, this is the value the point takes in that image.	[optional]
created_at	datetime	time the resource was created on the database	[optional] [readonly]
updated_at	str	when the resource was last modified/updated.	[optional] [readonly]
id	str	short UUID specifying the location of this resource	[optional]
public	bool	whether the resource is listed in public searches or not	[optional] [default to True]
user	str	who owns the resource	[optional] [readonly]
username	str	human readable username	[optional]
image	str		[optional]
values	PointRelationshipsValues		[optional]
x	float		[optional]
y	float		[optional]
z	float		[optional]
entities	List[Entity]		[optional]
analysis	str		[optional]
cluster_size	float	size of the cluster in cubic millimeters	[optional]
subpeak	bool	whether the reported peak is the max-peak statistic or a sub-maxmimal peak.	[optional]
deactivation	bool	wheather the coordinate represents an decrease in activation relative to a baseline	[optional]
is_seed	bool	whether the coordinate is marked as a seed location	[optional]
order	int	determines the row to display the coordinate	[optional]

Example

from neurostore_sdk.models.point_return import PointReturn

# TODO update the JSON string below
json = "{}"
# create an instance of PointReturn from a JSON string
point_return_instance = PointReturn.from_json(json)
# print the JSON string representation of the object
print(PointReturn.to_json())

# convert the object into a dict
point_return_dict = point_return_instance.to_dict()
# create an instance of PointReturn from a dict
point_return_from_dict = PointReturn.from_dict(point_return_dict)

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