Regional networks underlying interhemispheric connectivity: An EEG and DTI study in healthy ageing and amnestic mild cognitive impairment

Teipel, Stefan J.; Pogarell, Oliver; Meindl, Thomas; Dietrich, Olaf; Sydykova, Djyldyz; Hunklinger, Ulrike; Georgii, Bea; Mulert, Christoph; Reiser, Maximilian; Möller, Hans‐Jürgen; Hampel, Harald

doi:10.1002/hbm.20652

Cited by 90 publications

(79 citation statements)

References 97 publications

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“…Moreover, virtually none of those methods incorporate biophysical knowledge about AD (but see [37]); detailed mathematical models of the pathology of AD, in conjunction with EEG data analysis, may help us to improve the diagnosis of AD. Along the same lines, one may expect further improvement by combining EEG with other imaging modalities, such as MRI (see, e.g., [31][32][33]), dMRI [34], TMS [35], and SPECT [36].…”

Section: Discussionmentioning

confidence: 99%

On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review

Dauwels

Vialatte

Cichocki

2010

Advances in Cognitive Neurodynamics (II)

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Section: Discussionmentioning

confidence: 99%

On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review

Dauwels

Vialatte

Cichocki

2010

Advances in Cognitive Neurodynamics (II)

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“…These studies showed largely convergent results (23)(24)(25)(26), indicating that at the regional as well as at the connectome (27,28) level, the strength of FC is positively correlated with the strength of SC, when direct or indirect SC is present and measurable. There is further evidence that there is significant cor-relation between structural white matter coherence and EEG FC in healthy controls and patients with amnesic mild cognitive impairment (29).…”

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confidence: 95%

White matter maturation reshapes structural connectivity in the late developing human brain

Hagmann

Sporns²,

Madan³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

638

592

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From toddler to late teenager, the macroscopic pattern of axonal projections in the human brain remains largely unchanged while undergoing dramatic functional modifications that lead to network refinement. These functional modifications are mediated by increasing myelination and changes in axonal diameter and synaptic density, as well as changes in neurochemical mediators. Here we explore the contribution of white matter maturation to the development of connectivity between ages 2 and 18 y using high b-value diffusion MRI tractography and connectivity analysis. We measured changes in connection efficacy as the inverse of the average diffusivity along a fiber tract. We observed significant refinement in specific metrics of network topology, including a significant increase in node strength and efficiency along with a decrease in clustering. Major structural modules and hubs were in place by 2 y of age, and they continued to strengthen their profile during subsequent development. Recording resting-state functional MRI from a subset of subjects, we confirmed a positive correlation between structural and functional connectivity, and in addition observed that this relationship strengthened with age. Continuously increasing integration and decreasing segregation of structural connectivity with age suggests that network refinement mediated by white matter maturation promotes increased global efficiency. In addition, the strengthening of the correlation between structural and functional connectivity with age suggests that white matter connectivity in combination with other factors, such as differential modulation of axonal diameter and myelin thickness, that are partially captured by inverse average diffusivity, play an increasingly important role in creating brain-wide coherence and synchrony.connectome | development | graph | network dynamics | tractography M ost real-world networks do not arise all at once but, guided by rules, develop through a growth process that progressively fine-tunes the configuration of nodes and edges. Thus, an important aspect in the analysis of large-scale networks is the characterization of their dynamic development and evolution. From a theoretical point of view growth rules have been shown to have a significant effect on the emergent behavior of the final large-scale structural topology. For example, the emergence of scale-free networks can be explained by a preferential attachment rule (1, 2), with important functional consequences (3). If we can measure the growth and reshaping of connectivity that occurs with maturation during the developmental process, we can begin to infer growth rules governing this complex process and examine their functional consequences. These growth rules need to be instantiated in a biological system, and therefore the functional consequences would provide hypotheses linking emergent network properties to underlying cellular and molecular mechanisms.Real-world networks rarely grow according to simple statistical models, thus necessitating empirical sampling ov...

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“…Applying DTI analyses with voxelwise TBSS, 22 an increasing number of contributions described the damage of long interhemispheric and intrahemispheric white matter tracts with homogeneously oriented fibers (ie, genu or splenium of the corpus callosum, superior longitudinal fasciculus, cingulus) and, more rarely, in frontal, parietal, and temporal white matter in patients with MCI compared with healthy controls. [23][24][25][26][27][28][29][30][31] The biologic relevance of the description of MCI subtypes is still a challenging issue. In particular, it is unclear whether the neuropsychologic definition of these subtypes corresponds to distinct patterns of brain compromise.…”

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confidence: 99%