Sentences with phrase «functional brain organization»

The researchers created growth charts that reflected the configuration of what are called intrinsic connectivity networks — important units of functional brain organization.
«These technology - inspired neuroscientific investigations, using advanced signal processing methods, push the frontier on what we know about functional brain organization and the mind.»

Not exact matches

The results of the study are also of interest to researchers working in the field, as Professor Brandt explains: «The results illustrate the very specific functional organization of our brains.
From these functional brain networks, a number of key characteristics that describe the overall organization of a network were computed, including the clustering coefficient C and characteristic path length L (Watts and Strogatz, 1998).
Neuroimaging studies have linked intelligence to the developmental course of specific high - order brain regions (Shaw et al., 2006), total brain volume and focal brain structure (Thompson et al., 2001; Haier et al., 2004; Colom et al., 2006; Hulshoff Pol et al., 2006; Choi et al., 2008), microstructural organization of white matter (Chiang et al., 2009), and the functional dynamics of specific high cognitive brain regions (Duncan et al., 2000; Gray et al., 2003; Choi et al., 2008; Song et al., 2008).
The functional brain networks showed a clear small - world organization, expressed by λ ≈ 1 (c) and γ ≫ 1 (d) for T ≥ 0.3 (1 - sample t test, df = 18, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T).
The organization of the functional brain network was examined using graph theory (Achard et al., 2006; Stam and Reijneveld, 2007; Bullmore and Sporns, 2009), as validated earlier (van den Heuvel et al., 2008b)(supplemental material, available at www.jneurosci.org).
The functional brain networks showed a clear small - world organization for 0.3 ≤ T ≤ 0.5 (Fig. 1a — d), expressed by L ≈ Lrandom and λ ≈ 1 for T ≤ 0.5 and C ≫ Crandom and γ ≫ 1 for T ≥ 0.3 (one - sample t test, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b).
Small - world and scale - free organization of voxel based resting - state functional connectivity in the human brain
Therefore future studies are needed to examine whether common genes mediate the association between functional and structural brain network organization and intelligence.
Such an efficient organization of our brain network raises the question of a possible relationship between how efficiently the functional connections of our brain are placed and individual differences in intelligence.
Our data reflects the level of efficient organization of the functional brain network during a resting state and not the efficiency of functional connectivity between brain regions during the performance of specific cognitive tasks that enter into the IQ score.
Recently, functional network connectivity (FNC, defined as the temporal correlation among spatially distant brain networks) has been used to examine the functional organization of brain networks in
It investigates the human brain, from the functional organization of large scale cerebral systems to microscopic neurochemical processes.
Altered functional and structural brain network organization in autism.
Our study provides new evidence that there is disrupted organization of functional brain networks in AD.
Small - world metrics can characterize the functional organization of the brain in AD, and our findings further suggest that these network measures may be useful as an imaging - based biomarker to distinguish AD from healthy aging.
Here we assess functional brain network organization of 23 of the world's most successful memory athletes and matched controls with fMRI during both task - free resting state baseline and active memory encoding.
Therefore, when functional brain networks are constructed at the voxel - level, a resolution similar to ICA, a network based approach offers distinct advantages over ICA in understanding the overall organization of the brain network.
Using a similar logic, we first tested our hypothetical topographic model of the functional - anatomic organization of brain networks subserving social cognition (Fig. 1).
Such a progressive influence may suggest that the fluctuation of maternal depression has a long - term impact on the development of the brain functional organization in later life.
Therefore, over the time of the brain development, our observations supported growing evidence that the organization of the brain's functional network might be parallel to the behavioral development, even in early postnatal life.
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