Coma Science Group Data Description

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SPM8 Processed data prefixes

T1: structural, anatomic data

st

Definition

c1, c2, c3

SPM8 normalized segmentation

m

normalized volumes

wc1, wc2 wc3

images after normalization

sw1, 2 3

smoothed normalized images

swc1

voxel based morphometry (VBM) studies

MD: Mean diffusivity

Represents the increase of overall molecule displacement and several kind of anisotropy indices

$MD = \langle \lambda \rangle = \frac{\lambda_1 + \lambda_2 + \lambda_3}{3}$

Provides good discrimination between VS/UWS and MCS patients.

FA: fractional anisotropy

Quantify the level of disorder of oriented structures in the tissue

$FA = \frac{\sqrt{3( (\lambda_1 - \langle \lambda \rangle )^2 + (\lambda_2 - \langle \lambda \rangle )^2 + (\lambda_3 - \langle \lambda \rangle )^2)}} {\sqrt{2(\lambda_1^2 + \lambda_2^2 + \lambda_3^2)}}$

Used to characterize the extend of white matter loss in VS/UWS patients

Disorders of Consciousness (DOC)

VS

Vegetative State

UWS

Unresponsive Wakefulness Syndrome

MCS

Minimally Consciousness State

Generalized Ordered Weighted Aggregations

A GOWA M on a set of positive real numbers $\lambda_1, \lambda_2, \dots,\lambda_n$ is a map defined by:

$M_{w,p}(\lambda_1, \lambda_2, \dots,\lambda_n) = (\sum_{j=1}^{n}w_{j}\theta_{j}^{p})^{1/p}$

where $w_1, w_2, \dots, w_n$ is a collection of weights satisfying $w_j \in [0,1] \and \sum_{j=1}^{n} w_j =1$, $p$ is a parameter such that $p \in [-\infty, \infty]$, $\theta_j$ is the $j$th largest of $\lambda_j$. This operator is a generalized weighted average on the set of input re-ordered data.

Table summary

Field	Mean
A	ID: Identifier of the subject
B,C	Subject's name
D	Born date
E	Etiology: Probable cause
F	Possible accident date
G	Examination date
H	Initial classification of consciousness level
I	Date difference between accident and examination (in days)
J	Examination date
K	Final Diagnose