On the Spectrum

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From Chronnectivity To Chronnectopathy: Connectivity Dynamics of Typical Development Langen, C. D., T. White, M. A. Ikram, M. W. Vernooij and W. J. Niessen (2015). “Integrated Analysis and Visualization of Group Differences in Structural and Functional Brain Connectivity: Applications in Typical Ageing and Schizophrenia.” PLoS One 10(9): e0137484. Lenroot, R. K. and J. N. Giedd (2006). “Brain development in children and adolescents: insights from anatomical magnetic resonance imaging.” Neurosci Biobehav Rev 30(6): 718-729. Rashid, B., E. Damaraju, G. D. Pearlson and V. D. Calhoun (2014). “Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects.” Front Hum Neurosci 8: 897. Rodriguez, P., T. Adali, H. Li, N. Correa and V. D. Calhoun (2010). Phase correction and denoising for ICA of complex FMRI data. IEEE International Conference on Acoustics, Speech and Signal Processing. Dallas, TX. Simmonds, D. J., M. N. Hallquist, M. Asato and B. Luna (2014). “Developmental stages and sex differences of white matter and behavioral development through adolescence: a longitudinal diffusion tensor imaging (DTI) study.” Neuroimage 92: 356-368. Smith, S. M., K. L. Miller, G. Salimi-Khorshidi, M. Webster, C. F. Beckmann, T. E. Nichols, J. D. Ramsey and M. W. Woolrich (2011). “Network modelling methods for FMRI.” Neuroimage 54(2): 875-891. Stigler, K. A., B. C. McDonald, A. Anand, A. J. Saykin and C. J. McDougle (2011). “Structural and functional magnetic resonance imaging of autism spectrum disorders.” Brain Res 1380: 146-161. Tohka, J., K. Foerde, A. R. Aron, S. M. Tom, A. W. Toga and R. A. Poldrack (2008). “Automatic independent component labeling for artifact removal in fMRI.” Neuroimage 39(3): 1227-1245. Uddin, L. Q., K. Supekar, C. J. Lynch, A. Khouzam, J. Phillips, C. Feinstein, S. Ryali and V. Menon (2013). “Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism.” Jama Psychiatry 70(8): 869-879. Uddin, L. Q., K. Supekar and V. Menon (2013). “Reconceptualizing functional brain connectivity in autism from a developmental perspective.” Frontiers in Human Neuroscience 7. Varoquaux, G., F. Baronnet, A. Kleinschmidt, P. Fillard and B. Thirion (2010). “Detection of brain functionalconnectivity difference in post-stroke patients using group-level covariance modeling.” Med Image Comput Comput Assist Interv 13(Pt 1): 200-208. White, T., H. El Marroun, I. Nijs, M. Schmidt, A. van der Lugt, P. A. Wielopolki, V. W. V. Jaddoe, A. Hofman, G. P. Krestin, H. Tiemeier and F. C. Verhulst (2013). “Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology.” European Journal of Epidemiology 28(1): 99-111. White, T., R. Muetzel, M. Schmidt, S. J. Langeslag, V. Jaddoe, A. Hofman, V. D. Calhoun, F. C. Verhulst and H. Tiemeier (2014). “Time of acquisition and network stability in pediatric resting-state functional magnetic resonance imaging.” Brain Connect 4(6): 417-427. 5 121
Chapter 5 SUPPLEMENT 1. Static connectivity results To assess how the static FNC develops and forms the adult-like connectivity patterns, we searched for age- and sex-specific static FNC profiles. Both positive and negative associations between connection strength and age were found in the static FNC. In particular, for the cognitive control network (CCN) components, the within-network connectivity showed decreasing patterns with age, and between-network connectivity mostly showed increasing patterns with age. We specifically focused on the default-mode connectivity as functions of age and sex. In the DMN, the average between-network connectivity were increasing with age for DMN components left middle cingulate cortex (MCC), right angular gyrus and left precuneus (preC), and decreasing with age for DMN components right precuneus and left angular gyrus (AG) (Figure S2). Also, both male and female dominated connectivity patterns were found in static FNC. The average between-network connectivity were greater for girls for DMN components left middle cingulate cortex and left precuneus, and greater for boys for DMN components right angular gyrus, right precuneus and left angular gyrus (Figure S2). Figure S1. Mean static functional network connectivity (sFNC) map for 774 subjects Black lines partition the FNC maps into the seven subcategories depicted in Figure 2. The seven subcategories into which the ICNs are partitioned into are: sub-cortical (SC), auditory (AUD), visual Figure S1. Mean static functional network connectivity (sFNC) map for 774 subjects (VIS), sensorimotor (SM), cognitive control (CCN), default-mode network (DMN), and cerebellar (CB) Black lines partition the FNC maps into the seven subcategories depicted in Figure 2. components. The seven subcategories into which the ICNs are partitioned into are: sub-cortical (SC), auditory (AUD), visual (VIS), sensorimotor (SM), cognitive control (CCN), defaultmode network (DMN), and cerebellar (CB) components. 122
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On the Spectrum the neurobiology of
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ISBN: 978-94-6233-336-9 © Laura Bl
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PROMOTIECOMMISSIE Promotoren Overig
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MANUSCRIPTS THAT FORM THE BASIS OF
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Chapter 1 10
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Chapter 1 Cuthbert, Garvey, Heinsse
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Chapter 1 folding of the brain into
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Chapter 1 beneficial for treatment
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Chapter 1 REFERENCES Achenbach, T.
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Chapter 1 Sonuga-Barke, E. J. S.
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IPart I: The neurobiology of autist
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Chapter 2 ABSTRACT Objective: Recen
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Chapter 2 Hardan 2010) and right pa
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Chapter 2 Statistical analysis To i
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Chapter 2 Gyrification Six regions
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Chapter 2 The association remained
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Chapter 2 Table 4. Autistic traits
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Chapter 2 While we found widespread
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Chapter 2 REFERENCES Amaral, D. G.,
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Chapter 2 Wallace, G. L., P. Shaw,
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Chapter 2 South-West of the Netherl
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Chapter 2 Supplementary Figure 1. F
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Chapter 2 Supplementary Figure 5. C
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Chapter 2 Supplementary Table 1. No
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3 A Prospective Study of Fetal Head
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Chapter 7 Next, we examined associa
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Chapter 7 Table 2 Brain morphology
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Chapter 7 Table 3 Cortical thicknes
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Chapter 7 Our finding was suggestiv
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Chapter 7 Using empirically defined
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Chapter 7 Fischl, B. and A. M. Dale
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Chapter 7 Supplement Table 1 Brain
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IIIPart III
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Chapter 8 190
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Chapter 8 stable relationships, and
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Chapter 8 gyrification changes in p
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Chapter 8 genetic or environmental
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Chapter 8 diseases, according to th
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Chapter 8 ability may be even more
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Chapter 8 symptoms could be more sp
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Chapter 8 association of maternal v
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Chapter 8 REFERENCES Abrahams, B. S
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Chapter 8 Goddard, M. N., S. van Ri
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Chapter 8 Sebat, J., B. Lakshmi, D.
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SSummary Samenvatting
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Summary SUMMARY Despite evidence fr
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Summary along a continuum were used
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Samenvatting SAMENVATTING Genetisch
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Samenvatting jonge kinderen die zic
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Addendum Mous SE, Schoemaker NK, Bl
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Addendum Zoeken in andere databases
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Addendum School of Women’s and In
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Addendum Graag wil ik Dr. Marion Sm
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Addendum hebben. Dank in het bijzon
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On the Spectrum

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