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- 1. ”Sustained Attention Changes Local Correlations in Brain Activity" João V. Dornas, Stepan Aleshin (PhD), Alexander Pastukhov (PhD), Jochen Braun (PhD) Speaker: João V. Dornas, PhD candidate Group: Prof. Jochen Braun - Cognitive Biology Group, Institute of Biology INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS 1
- 2. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS RESTING STATE PASSIVE VIEWING TRACKING TRIALS 5.5 minutes run, per condition: (8 subjects x 4 runs) 10 trials interleaved EXPERIMENTAL PARADIGM 2 (8 subjects x 4 runs) 30 s 30 s TRACKINGPASSIVE
- 3. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS AAL Parcellation Z = +18 90 Regions of Interest (ROIS) Credits: N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, and M. Joliot. NeuroImage 2002. 15 :273-289 ANATOMICAL PARCELLATION Colin27 (MNI152 space) 3
- 4. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS 4 FUNCTIONAL PARCELLATION Hacker,C.D.,Laumann,T.O.,Szrama,N.P.,Baldassarre,A.,Snyder,A.Z.,Leuthardt,E.C.,&Corbetta,M.(2013). NeuroImage,82,616–633. +47 +2 Magdeburg - 32 runs(8 subjectsx 4 runs) - Resting State DAN VAN SMN VIS FPC LAN DMN AUD
- 5. 1 17 34 51 68 85 102 119 136 153 170 − 1.5 − 1 − 0.5 0 0.5 1 1.5 TRs BOLD(z−scored) ParietalS uperior x,y,z = (2 8,-5 0,6 2 ) m m 1 17 34 51 68 85 102 119 136 153 170 − 2 .5 − 2 − 1.5 − 1 − 0.5 0 0.5 1 1.5 2 TRs BOLD(z−scored) Pos tcen tral x,y,z = (2 6 ,-46 ,6 6 ) m m 1 17 34 51 68 85 102 119 136 153 170 − 2 .5 − 2 − 1.5 − 1 − 0.5 0 0.5 1 1.5 2 TRs BOLD(z−scored) Fron talS uperior x,y,z = (2 4,5 2 ,2 0) m m 1 17 34 51 68 85 102 119 136 153 170 − 3 − 2 .5 − 2 − 1.5 − 1 − 0.5 0 0.5 1 1.5 2 TRs BOLD(z−scored) T em poralM id x,y,z = (6 2 ,-6 ,-16 ) m m INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS 5 T-CONTRAST PARCELLATION z-score Increase Decrease 1.61.6 4.5 -4.5 -1.6 “Only Negative” lFCD PassiveViewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.5 4.51.6z-score BOLD HRF Attentive Tracking Resting State
- 6. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Local Functional Connectivity Density (lFCD): positive, negative 6 AAL Parcellation For each 90 ROIs nVoxels FC Voxel Level (example ROI) nVoxels 1 1 ith Negative lFCD Positive lFCD Correlation Significance (p<0.01) Example: Pi = 400 positive correlations Ni = 250 negative correlations Pos lFCD = Pi / nVoxels nVoxels Neg lFCD = Ni / nVoxels
- 7. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS FC Voxel Level (example ROI) nVoxels nVoxels 1 1 ith Negative lFCD Positive lFCD … … … … … … Resting State Passive Viewing Attentive Tracking 32 runs per condition = 32 samples of lFCD at the Voxel level T-Test T-Test P-R>0 P-R<0 A-P>0 A-P<0 increase decrease increase decrease MNI152 Volumes: p-values z-score Cluster Threshold (Gaussian Random Field Theory) Passive Contrast Attentional Load Contrast Two Contrasts: △ lFCD 7
- 8. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS ANATOMICAL “Only Negative” lFCD PassiveViewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.5 Passive Viewing Attentional Load △ lFCD Negative 8 Frontal Sup R 686 voxels Temporal Mid L 774 voxels Precuneus L 521 voxels p-value Wilcoxon Ranksum Test AAL 90 ROIs (- ↓) (- ↑) NEGATIVE 0.3227 2.57E-6 Occipital Mid L 38 voxels
- 9. “Only Positive” lFCD PassiveViewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.5 INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load ANATOMICAL △ lFCD Positive p-value Wilcoxon Ranksum Test Occipital Sup R 351 voxels Occipital Mid L 273 voxels Temporal Mid R 1138 voxels Precuneus L 693 voxels Cuneus L 918 voxels Fusiform L 667 voxels 9 AAL 90 ROIs (+ ↓) (+ ↑) POSITIVE 4.24E-7 0.3548
- 10. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS △ lFCD Positive △ lFCD Negative Passive Viewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 p-value Wilcoxon Ranksum Test 10 POSITIVE (+ ↓) (+ ↑) 0.8957 0.0003 NEGATIVE (- ↓) (- ↑) 0.0814 1.17E-07 DAN 28 seeds
- 11. z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load p-value Wilcoxon Ranksum Test *mean of voxels equal to zero 11 POSITIVE (+ ↓) (+ ↑) 0.0029 0.8364 NEGATIVE (- ↓) (- ↑) -* 0.0143 VAN 12 seeds △ lFCD Negative △ lFCD Positive
- 12. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 p-value Wilcoxon Ranksum Test *mean of voxels equal to zero 12 POSITIVE (+ ↓) (+ ↑) 8.29E-05 0.9626 NEGATIVE (- ↓) (- ↑) -* 0.0139 FPC 15 seeds △ lFCD Positive
- 13. z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load p-value Wilcoxon Ranksum Test *mean of voxels equal to zero 13 POSITIVE (+ ↓) (+ ↑) 5.56E-04 0.7746 NEGATIVE (- ↓) (- ↑) 0.1616 4.69E-08 DMN 33 seeds △ lFCD Negative △ lFCD Positive
- 14. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 p-value Wilcoxon Ranksum Test 14 POSITIVE (+ ↓) (+ ↑) 0.8798 0.1824 NEGATIVE (- ↓) (- ↑) -* 9.27E-04 LAN 11 seeds △ lFCD Negative
- 15. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 p-value Wilcoxon Ranksum Test 15 POSITIVE (+ ↓) (+ ↑) 0.3707 0.8162 NEGATIVE (- ↓) (- ↑) 0.3593 0.0028 VIS 12 seeds △ lFCD Negative
- 16. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS Passive Viewing Attentional Load z-score IncreaseDecrease 1.6 1.6 4.54.54.5 z-score 1.6 Decrease Increase 1.6 4.5 p-value Wilcoxon Ranksum Test *mean of voxels equal to zero 16 POSITIVE (+ ↓) (+ ↑) 0.9698 -* NEGATIVE (- ↓) (- ↑) -* 0.006 AUD 10 seeds △ lFCD Negative
- 17. INTRODUCTION METHODS (Experimental) METHODS (Mathematics) RESULTS p-value Wilcoxon Ranksum Test *mean of voxels equal to zero 17 POSITIVE (+ ↓) (+ ↑) NEGATIVE (- ↓) (- ↑) SMN 18 seeds
- 18. CONCLUSIONS 1. Attention Networks change differently 2. Sensory Networks and Language change the same way 3. Cognitive Network has no Negative Correlation change 4. Motor Network has no change 5. Default Mode Network changes like Ventral Attention Network 18 POSITIVE (+ ↓) (+ ↑) 0.8957 0.0003 0.0029 0.8364 0.1966 0.6932 0.3707 0.8162 8.29E-05 0.9626 0.8798 0.1824 5.56E-04 0.7746 0.9698 -* NEGATIVE (- ↓) (- ↑) 0.0814 1.17E-07 -* 0.0143 -* 0.1278 0.3593 0.0028 -* 0.0139 -* 9.27E-04 0.1616 4.69E-08 -* 0.006 FUNCTIONAL PARCELLATION DAN VAN SMN VIS FPC LAN DMN AUD ANATOMICAL PARCELLATION 90 AAL ROIs NEGATIVE (- ↓) (- ↑) 0.3227 2.57E-06 NEGATIVE (+ ↓) (+ ↑) 4.24E-07 0.3548
Editor's Notes
- PRESENTATION: NAME ORIGIN BACKGROUND TEAM LAB/INSTITUTE BRIEF OVERVIEW OF PROJECT (fMRI, Attention)
- 1. AAL PARCELLATION AS CREATED USING COLIN27 BRAIN AS A REFERENCE. 2. COLIN27 WAS BUILD USING AS REFERENE THE MNI105 TEMPLATE BUT IS AN IMAGE GENERATED FROM ONLY ONE BRAIN, SCANNED 27 TIMES. 3. AAL PROCEDURE LABELED MANUALLY EACH ROI FOR EACH HEMISPHERE IN A 3D IMAGE, AND SAMPLED THE FINAL VOLUME ON MNI152 SPACE.
- 1. SANITY CHECK FOR FUNCTIONAL PARCELLATION.
- THE GLOBAL PICTURE CLEARLY SHOWS A DIFFERENCE IN CHANGE BTW. CONTRASTS. NON-PARAMETRIC TEST GIVES A SIGNIFICANT RESULT FOR INCREASE IN NEGATIVE CORRELATIONS.
- WE CAN SEE IN THE PICTURES A SIGNIFICANT DECREASE IN POSITIVE CORRELATIONS IN BOTH CONTRAST. NEVERTHELESS THEY DO NOT HAPPEN AT THE SAME ANATOMICAL REGIONS THERE ARE MORE DECREASE IN POSITIVE CORRELATION THAN INCREASE ON ATTENTIONAL LOAD CONTRAST.
- WE CAN PLOT A 3D RENDERING OF FUNCTIONAL PARCELLATION WITH SHADES OF SIMILAR COLORS BASED ON SEEDS DIFFERENCE.
- 1. IT IS INTERESTING TO SEE THAT SEEDS LOCATED ON FRONTAL LOBAL HAVE SIGNIFICANT CORRELATIONS WITH VOXELS IN ANOTHER LOBES AND WE SEE RESULTS ON THESE DISTANT REGIONS, LIKE ANGULAR GYRUS.
- 1. V7 FUNCTIONAL SEED CORRELATION VOXELS THAT SHOW SIGNIFICANT CHANGE APPEAR ON PRECUNEUS.
- 1. V7 FUNCTIONAL SEED CORRELATION VOXELS THAT SHOW SIGNIFICANT CHANGE APPEAR ON PRECUNEUS.