Enhanced inference of network structure from functional connectivity - - PowerPoint PPT Presentation
Enhanced inference of network structure from functional connectivity - - PowerPoint PPT Presentation
Enhanced inference of network structure from functional connectivity Eugene Duff Eugene Duff, Steve Smith, Tamar Makin, Mark Woolrich Brain connectivity in functional neuroimaging Cole, Nature Neuroscience, 2013 Brain connectivity in
Brain connectivity in functional neuroimaging
Cole, Nature Neuroscience, 2013
Brain connectivity in functional neuroimaging
Correlation (network matrices) PPI Mutual Information Power/frequency analysis Coherence Dynamic Causal modelling Structural Equation modelling Granger Graph models Partial correlation
Brain connectivity in functional neuroimaging
Correlation (network matrices) PPI Mutual Information Power/frequency analysis
Pros:
- Can estimate more biologically
meaningful variables
- Can model out uninteresting variables
Cons:
- Often overparameterised, can only
compare limited set of model structures
- Difficult to estimate for many nodes
- Strong assumptions for ROIs, connectivity
patterns, signal dynamics, noise sources
- All parameters/regions interdependent
Pros:
- Simple pairwise measures permit,
comprehensive characterisation.
- Computationally efficient.
Cons:
- Can be sensitive to a wide range of effects:
ambiguous interpretation
- Do not estimate neurophysiological
parameters
Dynamic Causal modelling Structural Equation modelling Granger Graph models Partial correlation Coherence How to use FC to inform EC model structure?
.
What causes changes in correlations?
Y X
Healthy Patients
With no model of signal, analyses will be sensitive to variations in noise:
Y X
state 1 state 2
- Increase in noise level
e.g. Differences in patient group, due to vascular tone.
- Reduction in signal
e.g. Differences across activation states due to BOLD ceiling effect 𝜍x,y 𝜍x,y
Typical assumption is some sort of change in level of interaction between brain regions:
- Strength of interaction
- Extent of interaction
- Activity level of network
𝜍x,y
.
Aims
To identify a simple approach to characterising functional connectivity:
- that is less ambiguous
- remains a bivariate function for mapping and flexible implementation
- provides insight into effective connectivity network modelling methods
(e.g. DCM, causal methods)
Signal changes affecting correlations
𝜍x,y
Synchronisation of signals across regions
Y X
𝜍x,y
Increase in signal levels
𝜍x,y
Decrease in unrelated activity in one of two regions
𝜍x,y
Increase in common activity in one of two regions
𝜍x,y
Decrease in noise
𝜍x,y
Opposite changes in amplitude (combinations of above)
Y
X x y 𝜍x,y
Region 1 Region 2 BOLD signal
Y X
𝜍x,y 𝜍x,y
Decrease in noise
𝜍x,y
Synchronisation of signals across regions
𝜍x,y
Increase in signal levels Decrease in unrelated activity in one of two regions
𝜍x,y
Increase in common activity in one of two regions
𝜍x,y
Opposite changes in amplitude (combinations of above)
Y
X x y 𝜍x,y
Region 1 Region 2 BOLD signal
σy
σx σx
σy
σx
σy
σx
σy
σx
σy
σx
σy
σx
σy
Signal changes affecting correlations
Potential dynamics affecting connectivity
By observing variances, we can eliminate the possibility of certain changes..
𝜍x,y
σy
σx
𝜍xb,b
σyb
σxb
Condition 1 Condition 2
Decrease in noise Synchronisation of signals across regions Increase in shared signal levels Decrease in unrelated activity in
- ne of two regions
Increase in common activity in
- ne of two regions
Opposite changes in amplitude
?
𝜍x,y σx,σxb σy, σyb
a < 𝜍xb,yb < b But the necessary extent of a change required to explain a specific change in correlation is unclear. Can we determine if certain variance changes explain a particular
- bserved change?
Shared/Unshared Signal Model
Proportion of shared signal in each region is bounded by correlation
Y
X
x y
Ux Uy S
BOLD signal Unshared signal (y) Unshared signal (x) Shared signal
w2 ya w2 xa
𝜍xa,ya σya σxa
BOLD statistics (corr,var) proportion of shared signal y
Condition a
BOLD signal for condition a as a function of S and Ux Uy.
Model Formulation Pairwise model linking regions X and Y.
Y
X
x
y
Ux Uy S
BOLD signal Unshared signal (y) Unshared signal (x) Shared signal
w2yb w2xb
𝜍xb,yb σyb σxb
BOLD statistics (corr,var) proportion of shared signal (y)
Condition b
Shared/Unshared Signal Model
Y
X
x y
Ux Uy S
BOLD signal Unshared signal (y) Unshared signal (x) Shared signal
w2 ya w2 xa
𝜍xb,yb σya σxa
BOLD statistics (corr,var) proportion of shared signal y
Condition a
Pairwise model linking regions X and Y.
Condition b produces some change in levels of shared and unshared signals - wxb = cx wx, wyb = cy wy. , matching the total change in variance: New observed variance can be expressed: And correlation:
Y
X
x
y
Ux Uy S
BOLD signal Unshared signal (y) Unshared signal (x) Shared signal
w2yb w2xb
𝜍xb,yb σyb σxb
BOLD statistics (corr,var) proportion of shared signal (y)
Condition b
Shared/Unshared Signal Model
Y
X
x y
Ux Uy S
BOLD signal Unshared signal (y) Unshared signal (x) Shared signal
w2 ya w2 xa
𝜍xb,yb σya σxa
BOLD statistics (corr,var) proportion of shared signal y
Condition a
Pairwise model linking regions X and Y.
Y
X
x
y
Ux Uy S
BOLD signal Unshared signal (y) Unshared signal (x) Shared signal
w2yb w2xb
𝜍xb,yb σyb σxb
BOLD statistics (corr,var) proportion of shared signal (y)
Condition b
Given the limits on way, the effects of particular changes in signal and noise on 𝜍xb,yb can be determined based on variance changes. E.g. if there was no change in signal levels (variance was associated with unshared signal):
𝜍x,y
Increase in signal levels
𝜍x,y
Increase in common activity in one of two regions
Identifying bounds on correlation
𝜍x,y 𝜍x,y
Decrease in noise
𝜍x,y
Synchronisation of signals across regions Decrease in unrelated activity in one of two regions
𝜍x,y
Opposite changes in amplitude (combinations of above)
σx
σy
σx
σy
σx
σy
σx
σy
σx
σy
σx
σy
cx>1 cy>1 (ux=1) (uy=1) cx>1 cy=1 (ux=1) (uy=1) cy>1 cx>1 (uy<1) (ux<1) cx=1 cy=1 (ux<1) (uy<1) cx=1 cy=1 (ux=1) (uy<1) cy<1 cx>1 (uy=1) (ux=1)
𝜍x,y
Increase in signal levels
𝜍x,y
Increase in common activity in one of two regions
Potential dynamics affecting connectivity
𝜍x,y 𝜍x,y
Decrease in noise
𝜍x,y
Synchronisation of signals across regions Decrease in unrelated activity in one of two regions
𝜍x,y
Opposite changes in amplitude (combinations of above)
σx
σy
σx
σy
σx
σy
σx
σy
σx
σy
σx
σy
cx>1 cy>1 (ux=1) (uy=1) cx>1 cy=1 (ux=1) (uy=1) cx=1 cy=1 (ux>1) (uy>1) cx=1 cy=1 (ux>1) (uy=1) cy>1 cx>1 (uy<1) (ux<1) cy>1 cx<1 (uy=1) (ux=1)
Active-state experiment
16 Subjects Multiband-6 TR: 1.3, 2x2x2mm voxels Five active-state conditions produce robust changes in ongoing dynamics providing a good testing set for connectivity measures.
Active-state experiment
Are changes in connectivity across associated with variance changes? Do these changes correspond to particular types of changes in connectivity
- are they predicted by model?
Activation, variance, and correlation changes
Connectivity change from rest for visual condition (V1 seed) Connectivity change from rest for visual condition (V1 seed) Visual task activation Motor task activation Variance changes from rest for visual condition Variance changes from rest for motor condition
Activation, variance, and correlation changes
Change in correlation (z-score)
Proportion Proportion of edges with at least
- ne region changing in variance
Number of edges
Variance changes from rest for motor Variance changes from rest for visual
Representing connectivity changes
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
Cing Cuneus IntraCalc L a t O c c S u p D LingualD O c c P
- l
e D PreCunD T e m p O c c CbL C b R PutL P u t R InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR L a t O c c S L LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL O c c P
- l
e L OccPoleR T e m p O c c L TempOccR LatOccInfD
DMN Motor Visual
Change in shared signal
1
Cing Cuneus IntraCalc L a t O c c S u p D LingualD O c c P
- l
e D PreCunD T e m p O c c CbL C b R PutL P u t R InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR L a t O c c S L LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL O c c P
- l
e L OccPoleR T e m p O c c L TempOccR LatOccInfD
DMN Motor Visual
Change in unshared signal
Cing Cuneus IntraCalc L a t O c c S u p D LingualD O c c P
- l
e D PreCunD T e m p O c c CbL C b R PutL P u t R InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR L a t O c c S L LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL O c c P
- l
e L OccPoleR T e m p O c c L TempOccR LatOccInfD
DMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus IntraCalc L a t O c c S u p D LingualD O c c P
- l
e D PreCunD T e m p O c c CbL C b R PutL P u t R InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR L a t O c c S L LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL O c c P
- l
e L OccPoleR T e m p O c c L TempOccR LatOccInfD
DMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
Cing C u n e u s I n t r a C a l c LatOccSupD LingualD O c c P
- l
e D PreCunD TempOcc CbL CbR PutL P u t R InfPreGL SMA I n f P r e G R P
- s
t G L 2 PostGR2 P r e H L P r e H R LatOccL LatOccR L a t O c c S L LatOccSR LingActL LingActR OccFusAR OccFusAL O c c P
- l
e L OccPoleR TempOccL T e m p O c c R L a t O c c I n f D
DMN Motor Visual
Change in shared signal
1
Cing C u n e u s I n t r a C a l c LatOccSupD LingualD O c c P
- l
e D PreCunD TempOcc CbL CbR PutL P u t R InfPreGL SMA I n f P r e G R P
- s
t G L 2 PostGR2 P r e H L P r e H R LatOccL LatOccR L a t O c c S L LatOccSR LingActL LingActR OccFusAR OccFusAL O c c P
- l
e L OccPoleR TempOccL T e m p O c c R L a t O c c I n f D
DMN Motor Visual
Change in unshared signal
Cing C u n e u s I n t r a C a l c LatOccSupD LingualD O c c P
- l
e D PreCunD TempOcc CbL CbR PutL P u t R InfPreGL SMA I n f P r e G R P
- s
t G L 2 PostGR2 P r e H L P r e H R LatOccL LatOccR L a t O c c S L LatOccSR LingActL LingActR OccFusAR OccFusAL O c c P
- l
e L OccPoleR TempOccL T e m p O c c R L a t O c c I n f D
DMN Motor Visual
Change in both shared and unshared signals
Cing C u n e u s I n t r a C a l c LatOccSupD LingualD O c c P
- l
e D PreCunD TempOcc CbL CbR PutL P u t R InfPreGL SMA I n f P r e G R P
- s
t G L 2 PostGR2 P r e H L P r e H R LatOccL LatOccR L a t O c c S L LatOccSR LingActL LingActR OccFusAR OccFusAL O c c P
- l
e L OccPoleR TempOccL T e m p O c c R L a t O c c I n f D
DMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes Connections
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in shared signal
1
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in unshared signal
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in shared signal
1
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in unshared signal
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus IntraCalc LatOccSupD LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL SMA InfPreGR PostGL2 PostGR2 PreHL PreHR LatOccL LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR TempOccL TempOccR LatOccInfD
DMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes
Changes between visual condition and rest
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus IntraCalc L a t O c c S u p D LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR T e m p O c c L TempOccR LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus IntraCalc L a t O c c S u p D LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR T e m p O c c L TempOccR LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus IntraCalc L a t O c c S u p D LingualD OccPoleD PreCunD TempOcc CbL CbR PutL PutR InfPreGL S M A InfPreGR PostGL2 PostGR2 PreHL PreHR L a t O c c L LatOccR LatOccSL LatOccSR LingActL LingActR OccFusAR OccFusAL OccPoleL OccPoleR T e m p O c c L TempOccR LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes
Visual stimulus related connectivity changes
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes
Change in Shared Signal Change in Unshared Signal Change in Shared Signal Changes that can’t be explained by SNR changes Variance changes from rest for visual condition
Changes between visual condition and rest
Visual task - Rest (V1 seed)
Changes indicative of decoupling
Significant reductions in in correlation
Correlation changes from rest for visual
Reduction in shared signal
Variance changes from rest for visual condition
Changes between visual condition and rest
Visual task - Rest (V1 seed)
Changes indicative of decoupling
Significant reductions in in correlation
Correlation changes from rest for visual
Decoupling
Variance changes from rest for visual condition
Changes between motor condition and rest
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes
Change in Shared Signal Change in Unshared Signal Change in Shared Signal Changes that can’t be explained by SNR changes
Motor vs Rest conditions
Variance changes from rest for motor condition Motor stimulus related connectivity changes
Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes Correlation
- B. Distribution of correlation changes
- A. Correlation and variance changes between Rest and Visual Conditions categorised according to correlation-variance model
DMN Motor Visual
Change in shared signal
1
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in unshared signal
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in both shared and unshared signals
Cing Cuneus I n t r a C a l c L a t O c c S u p D LingualD OccPoleD PreCunD T e m p O c c CbL C b R PutL PutR InfPreGL S M A I n f P r e G R PostGL2 PostGR2 PreHL P r e H R L a t O c c L LatOccR LatOccSL LatOccSR L i n g A c t L LingActR O c c F u s A R OccFusAL OccPoleL OccPoleR T e m p O c c L T e m p O c c R LatOccInfDDMN Motor Visual
Change in synchronisation Resting correlations Visual condition correlations Range of visual correlations that could be explained by variance changes
Relation to network modelling (e.g. DCM)
Z Y X
+
Z X Y
+ +
Q Z X Y
+ +
Relation to network modelling (e.g. DCM)
Z X Y
+ +
Decrease in noise Synchronisation of signals across regions Increase in shared signal levels Decrease in unrelated activity in
- ne of two regions
Increase in common activity in
- ne of two regions
Opposite changes in amplitude
Z X Y
+ +
Z X Y
+ +
.
Summary
We have identified a simple model that links correlation and variance to provides insight into the types of dynamics underlying connectivity changes In a test dataset we could find almost every proposed feature of dynamics Most changes in correlation are accompanied by some change in variance DCM models typically predict variance changes, so are validated by these results Software is in development
Future directions
Application to population studies (HCP,DHCP) - cross subject variance Smooth integration with functional connectivity and DCM analyses More signal components: relationship to ICA?