[email protected]
G. Auzias Post-doc @ Institut des Neurosciences de la Timone, Marseille, France
fMRI, EEG, MEG
sMRI
dMRI
Bullmore et al., Nature reviews Neuroscience, 2009 S. Wass, Brain and cognition,2011
fMRI, EEG, MEG
-activate together during a task -co-vary across subjects -are connected by white matter fiber tracts sMRI
dMRI
Bullmore et al., Nature reviews Neuroscience, 2009 S. Wass, Brain and cognition,2011
fMRI, EEG, MEG
-activate together during a task -co-vary across subjects -are connected by white matter fiber tracts sMRI
dMRI
- define a functional unit - share common developmental trajectory - are influenced by the same genetic or environmental factors Bullmore et al., Nature reviews Neuroscience, 2009 S. Wass, Brain and cognition,2011
fMRI, EEG, MEG
-activate together during a task -co-vary across subjects -are connected by white matter fiber tracts sMRI
dMRI
- define a functional unit - share common developmental trajectory - are influenced by the same genetic or environmental factors Bullmore et al., Nature reviews Neuroscience, 2009 S. Wass, Brain and cognition,2011
fMRI, EEG, MEG
-activate together during a task -co-vary across subjects -are connected by white matter fiber tracts sMRI
dMRI
? - define a functional unit - share common developmental trajectory - are influenced by the same genetic or environmental factors Bullmore et al., Nature reviews Neuroscience, 2009 S. Wass, Brain and cognition,2011
Average surface area = 960 cm sq. (~1900 cm sq. for two hemispheres)
Slide DC Van Essen
Average surface area = 960 cm sq. (~1900 cm sq. for two hemispheres)
= two 13” pizzas! 2/3 hidden in the folds 150 ~more than 250 areas Each cortical area ~ one 3 cm pepperoni!
Slide DC Van Essen
Average surface area = 960 cm sq. (~1900 cm sq. for two hemispheres)
http://scien.stanford.edu
= two 13” pizzas! 2/3 hidden in the folds
150 ~more than 250 areas Each cortical area ~ one 3 cm pepperoni!
Roca et al., MICCAI, 2010
Recent review: Bressel et al., Trends in Cogn Science, 2010
Perrot et al., Med Image Anal, 2011
Manual segmentation of colin27 into 90 VOIs
N. Tzourio-Mazoyer, et al., Automated Anatomical Labeling of activations in SPM using a Macroscopic Anatomical Parcellation of the MNI MRI single-subject brain. NeuroImage 15 (1): 273–289, 2002
Manual segmentation of colin27 into 90 VOIs
N. Tzourio-Mazoyer, et al., Automated Anatomical Labeling of activations in SPM using a Macroscopic Anatomical Parcellation of the MNI MRI single-subject brain. NeuroImage 15 (1): 273–289, 2002
Manual segmentation of colin27 into 90 VOIs
N. Tzourio-Mazoyer, et al., Automated Anatomical Labeling of activations in SPM using a Macroscopic Anatomical Parcellation of the MNI MRI single-subject brain. NeuroImage 15 (1): 273–289, 2002
Manual segmentation of colin27 into 90 VOIs
N. Tzourio-Mazoyer, et al., Automated Anatomical Labeling of activations in SPM using a Macroscopic Anatomical Parcellation of the MNI MRI single-subject brain. NeuroImage 15 (1): 273–289, 2002
Single subject = bias Colin27: Young Male Right hander IQ… “absence of leftward anatomical lateralization of the planum temporale that makes it out of the range of standard anatomy”
Single subject = bias
Freesurfer BrainVISA
Defining cortical parcels using HIP-HOP
G. Auzias, J. Lefèvre, A. Le Troter, C. Fischer, M. Perrot, J. Regis, O. Coulon IEEE Trans Med Imag 2013
J. Régis et al, Neurol Med Chir, 2005
Lohmann et al., Cereb Cortex, 2008 Im et al., Cereb Cortex, 2010
J. Régis et al, Neurol Med Chir, 2005
Lohmann et al., Cereb Cortex, 2008 Im et al., Cereb Cortex, 2010
stable landmarks (set of sulci) organization of these landmarks through specific
assumptions of orientation and alignment of sulci
J. Régis et al, Neurol Med Chir, 2005
Lohmann et al., Cereb Cortex, 2008 Im et al., Cereb Cortex, 2010
stable landmarks (set of sulci) organization of these landmarks through specific
assumptions of orientation and alignment of sulci
Toro et al., NeuroImage, 2003 Couchoux et al., NeuroImage, 2010
Amodio and Frith, Nature Reviews Neuroscience,2006
Model-driven parameterization of the cortical surface 26
Inf. Frontal sulcus Central sulcus Sup. Temp. Sulcus
Model-driven parameterization of the cortical surface 27
Inf. Frontal sulcus Central sulcus Sup. Temp. Sulcus
Model-driven parameterization of the cortical surface 28
Step 1
Neocortex
Cingular pole 1
Unconstrained mapping Sulcal constraints
Insular pole
2
Step 2 Step 3
Step 4
Step 1
Neocortex
Cingular pole 1
Unconstrained mapping Sulcal constraints
Insular pole
2
Step 2 Step 3
Step 4
Step 1
Neocortex
Insular Cingular minimize angular distortions pole pole 1
Unconstrained mapping Sulcal constraints
2
Step 2 Step 3
Step 4
Step 1
Neocortex
Insular Cingular minimize angular distortions pole pole 1
Unconstrained mapping Sulcal constraints
2
Step 2 Step 3
+ Step 4 enforce the alignment of sulci onto vertical or horizontal axis
33
34
35
36
37
38
Amodio and Frith, Nature Reviews Neuroscience,2006
Functional division
Structural connectivity
Subject 1
Subject 2
Subject 3
http://lecerveau.mcgill.ca
Max of SPMt map projected
Clouchoux et al., MICCAI, 2006
foot Elbow little finger index finger thumb tongue
Clouchoux et al., MICCAI, 2006
Cachia et al., Medical Image Analysis, 2003
Individual parcels
Model
Individual parcels
Avg area ~ 1.5cm² Hagmann et al., PLOS Biol, 2008
66 parcels from freesurfer
Model
Individual parcels
Multi-scale cortical parcellation
Model
4.4 http://brainvisa.info
LSIS, Marseille
O. Coulon J. Lefèvre
J.-F. Mangin M. Perrot
CRMBM, Marseille A. Le troter
Neurospin, Saclay
D. Rivière C. Fisher
Service de Neurochirurgie Fonctionnelle CHU Timone, Marseille J. Régis
[email protected]
48
Minimize angular distortions:
Minimize angular distortions
51
Minimize angular distortions
52
Minimize angular distortions
Target axis
53
Sulci constrained
unconstrained
HIP-HOP
Freesurfer
Angle Area
v=(v1,v2,v3)
Minimize angular distortions
u = (v)=( 1 (v), 2(v))
u=(u1,u2)
Eck et al., SIGGRAPH’95
Our approach
Mangin et al., Curr Opin Neurol , 2010
Sulcal roots theory J. Régis et al, Neurol Med Chir, 2005
Correspondences are necessary across
both geometry and time
Individuals not matched in age at acquisition time
