RS-fMRI analysis in healthy subjects confirms gender based differences

RS-fMRI analysis in healthy subjects confirms gender based differences Alberto A. Vergani (aavergani@uninsubria.it) PhD student in Computer Science and Computational Mathematics University of Insubria Department of Theoretical and Applied Science, Varese, Italy Co-authors of the work: E. Binaghi, S. Strocchi and G. Gonella

RS-fMRI analysis in healthy subjects confirms gender based differences RS = Resting State fmri = functiona Magnetic Resonance Imaging

RS-fMRI analysis in healthy subjects confirms gender based differences RS = Resting State fmri = functiona Magnetic Resonance Imaging In vivo and not invasive techinque Measures haemodynamic response to neural activity Intrinsic contrast (BOLD) = Blood Oxigen Level Dependent signal

RS-fMRI analysis in healthy subjects confirms gender based differences RS = Resting State

RS-fMRI analysis in healthy subjects confirms gender based differences RS = Resting State Functional connectivity research has revealed a number of networks which are consistently found in healthy subjects, different stages of consciousness and across species, and represent specific patterns of synchronous activity (Biswal 2010 and Raichle 2015)

Outline Goals, Data and Methods Results (A, B, C) Conclusions, next analysis and their extension Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 9

Goals, Data and Methods / goals RS-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants ( ). (Biswal et al, PNAS, 2010) Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 10

Goals, Data and Methods / goals Compute analysis on data collected in a shared RS-fMRI repository, looking how our results match literature. Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 12

Goals, Data and Methods / data Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 13

Goals, Data and Methods / data Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 14

Goals, Data and Methods / data Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 15

Goals, Data and Methods / data Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 16

Goals, Data and Methods / methods Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 17

Goals, Data and Methods / methods Preprocessing / spatial smoothing, temporal filtering, motion correction and standard registration Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 18

Goals, Data and Methods / methods Preprocessing / spatial smoothing, temporal filtering, motion correction and standard registration Data reduction / extraction of time series based on the ROIs of Harvard-Oxford atlas Statistics / compute mean and variance of whole brain activation to test difference between gender signal Algebra / compute Euclidean metric of exams to test within gender distance Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 21

Goals, Data and Methods / methods Preprocessing / spatial smoothing, temporal filtering, motion correction and standard registration Data reduction / extraction of time series based on the ROIs of Harvard-Oxford atlas Statistics / compute mean and variance of whole brain activation to test difference between gender signal Algebra / compute Euclidean metric of exams to test within gender distance Functional Connectivity / compute correlation coefficient to investigate Precuneus relations Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 22

Goals, Data and Methods / methods Preprocessing / spatial smoothing, temporal filtering, motion correction and standard registration Data reduction / extraction of time series based on the ROIs of Harvard-Oxford atlas Statistics / compute mean and variance of whole brain activation to test difference between gender signal Algebra / compute Euclidean metric of exams to test within gender distance Functional Connectivity / compute correlation coefficient to investigate Precuneus relations Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 23

Outline Goals, Data and Methods Results (A, B, C) Conclusions, Next analysis and their extension Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 24

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 25

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 26

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 27

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 28

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 29

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 30

Result A / significant gender differences in BOLD whole brain signal Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 31

Result B / greater distance within males than females Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 32

Result B / greater distance within males than females Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 33

Result B / greater distance within males than females Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 34

Result B / greater distance within males than females Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 35

Result B / greater distance within males than females Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 36

Result B / greater distance within males than females Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 37

Result C / functional connectivity of Precuneus in the DMN. Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 38

Result C / functional connectivity of Precuneus in the DMN. Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 39

Result C / functional connectivity of Precuneus in the DMN. Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 40

Result C / functional connectivity of Precuneus in the DMN. FEMALE LEFT PRECUNEUS ROIs LABELS 1.00 61 Left Precuneous Cortex 0.91 62 Right Precuneous Cortex 0.85 59 Left Cingulate Gyrus, posterior division 0.83 60 Right Cingulate Gyrus, posterior division FEMALE RIGHT PRECUNEUS ROIs LABELS 1.00 62 Right Precuneous Cortex 0.91 61 Left Precuneous Cortex 0.83 60 Right Cingulate Gyrus, posterior division 0.80 59 Left Cingulate Gyrus, posterior division MALE LEFT PRECUNEUS ROIs LABELS 1.00 61 Left Precuneous Cortex 0.94 62 Right Precuneous Cortex 0.81 59 Left Cingulate Gyrus, posterior division 0.80 60 Right Cingulate Gyrus, posterior division MALE RIGHT PRECUNEUS ROIs LABELS 1.00 62 Right Precuneous Cortex 0.94 61 Left Precuneous Cortex 0.80 60 Right Cingulate Gyrus, posterior division 0.78 59 Left Cingulate Gyrus, posterior division Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 42

Outline Goals, Data and Methods Results (A, B, C) Conclusions, Next analysis and their extension Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 43

Conclusions, next analysis and their extension Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 44

Conclusions, next analysis and their extension A / Dynamics. There are significant differences in the mean and in the variance among males and females functional time series (BOLD signal). B / Patterns. The distance within males is greater than in the females. C / Connectivity. Precuneus has the higher correlations (CC > 0.80) with its controlateral part and with the posterior division of cingulate gyrus. Next analysis / clustering of time series and subcortical analysis Extension / using other datasets belongs to NITRC repository Thank you ;-) Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 45

Conclusions, next analysis and their extension A / Dynamics. There are significant differences in the mean and in the variance among males and females functional time series (BOLD signal) B / Patterns. The distance within males is greater than in the females. C / Connectivity. Precuneus has the higher correlations (CC > 0.80) with its controlateral part and with the posterior division of cingulate gyrus. Next analysis / clustering of time series and subcortical analysis Extension / using other datasets belongs to NITRC repository Thank you ;-) Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 48

Conclusions, next analysis and their extension A / Dynamics. There are significant differences in the mean and in the variance among males and females functional time series (BOLD signal) B / Patterns. The distance within males is greater than in the females. C / Connectivity. Precuneus has the higher correlations (CC > 0.80) with its controlateral part and with the posterior division of cingulate gyrus. Next analysis / clustering of time series and subcortical analysis Extension / using other datasets belongs to NITRC repository Thank you ;-) Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 49

Conclusions, next analysis and their extension A / Dynamics. There are significant differences in the mean and in the variance among males and females functional time series (BOLD signal) B / Patterns. The distance within males is greater than in the females. C / Connectivity. Precuneus has the higher correlations (CC > 0.80) with its controlateral part and with the posterior division of cingulate gyrus. Next analysis / clustering of time series and subcortical analysis Extension / using other datasets belongs to NITRC repository Thank you ;-) Alberto A. Vergani (aavergani@uninsubria.it) Genova 2017 50