 |
Arnaud Cachia's
home page
|
|
U797 "Brain
Imaging & psychiatry"
INSERM-CEA
Service Hospitalier
Frédéric Joliot
4 place du
général Leclerc
91401 Orsay Cedex
tel : 33-1-69-86-77-19
fax : 33-1-69-86-78-10
email :
arnaud.cachia_AT_cea.fr
(anti SPAM : _AT_ <=>
@ )
From
2004
Post-doc in the
Research Unit "Brain
Imaging & psychiatry" (U797,
INSERM-CEA, Service
Hospitalier
Frederic Joliot, Orsay, France).
I am interested in
brain imaging in general,
brain development and cortex morphometry in particular. My research has
a particular focus on the use of image analysis methods for studying
the brain anatomy in developmental psychiatric disorders, such as
schizophrenia and autism (detailled overview (in french)
).
1. Cortical pattern variability and
brain
development
The most striking, interesting,
yet poorly understood gross
morphological features of the human cerebral cortex are the diverse and
complex arrangements of cortical folds (gyri and sulci). Many
methodological
issues in brain imaging - as brain
matching or brain morphometry - stem from their high
inter-individual variability. Cortical folds are formed during fetal
and early childhood age
and their investigation could provide a new way for
understanding the normal and pathological brain anatomy variability.
Some
recent
work have indicated that the first cortical folds that appear on
the
fetal brain (called the "sulcal roots")
are especially stable
across individual, and might indicate the existence of
a stable cortical organization, underlying the apparent variable
pattern. 
Thanks to recent technological progresses, the
quality of antenatal imaging has improved dramatically and enables to
study in vivo the earliest stages of the brain
morphogenesis (collaboration
with Necker Hospital (Paris, France), Institute H San Raffaele
(Milano, Italia), and La Timone hospital (Marseille, France).

Central sulcus (CS) morphogenesis.
(Left) 3D reconstruction of a fetal brain from prenatal MRI.
At
this
developpement stage, the two CS sulcal roots are still visible.
(Right)
During the brain maturation, the two sulcal roots merge leading to the
CS.
In child brain, the presence of a burried gyrus,
splitting the two roots, is still visible.
In adults, only a
modification in the sulcus wall curvature gives a cue of the sulcal
root
limits.
Cachia et al. 2004
Mangin et al. 2004
In parallel, we try to recover a trace of these
putative primal
cortical folds in the adult cortex. A structural
multi-scale model
of the cortical surface curvature - the
primal sketch of the cortex mean
curvature - have been introduced to address this issue.
Its main goal is to segment the sulcal roots from the
depth of the adult cortical folds (collaboration
with LSIS,
Marseille, France). 

Extraction
of sulcal roots burried in the depth of adult brain
A] Extraction of the central
sulcus sulcal roots (in red and yellow).
B] Extraction of the superior temporal sulcus
sulcal roots.
Two different sulcal root organization lead to two different shapes for
the temporal sulcus.
Cachia et al. 2004
Mangin et al.
2004 Coulon et
al. 2000
2. Cortical fold morphometry
A standard approach in computer-based brain
morphometry consists in analyzing
the anatomy at the voxel level
(brain tissue density, cortical ribbon thickness, white matter fiber
orientation...). This
approach requires a spatial normalization process to spatially match
the brains to be compared. The complementary approach we develop
consists in studying the brain
anatomy
from the analysis of the cortical
folds shape and spatial organization. This
approach
does
not use any spatial normalisation pre-processing and can then take into
account the individual cortex morphology specificities.

Extraction
and automatic labelisation of the main sulci and gyri.
(From left to right) Representation of some cortical gyri and sulci
with 3D
brain (cortex / CSF interface) reconstruction and
3D white matter (
cortex / white matter interface) reconstruction
Cachia et al. 2004
Mangin et al. 2004

Morphological variability of
superior temporal, central and intraparietal sulci
Turner patients (left) and control subjects (right)
Molko
et
al. 2004