Functional and structural syntax networks in aging

Antonenko, Daria; Bräuer, Jens; Meinzer, Marcus; Fengler, Anja; Kerti, Lucia; Friederici, Angela D.; Flöel, Agnes

doi:10.1016/j.neuroimage.2013.07.018

Cited by 54 publications

(60 citation statements)

References 69 publications

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“…Recruitment of additional brain areas (not belonging to the same functional network) may be rather detrimental (in line with ‘dedifferentiation theories'). In addition, our conclusions also support certain aspects of ‘compensation theories' [1], in the sense that stronger connections between particular nodes of a given functional network in older individuals would yield a beneficial impact on function [20]. …”

Section: Structural and Functional Brain Network In The Context Of Asupporting

confidence: 76%

“…In contrast, higher inter-hemispheric functional coupling of these prefrontal areas predicted poorer performance in older adults. In a subsequent study, the authors confirmed the proposed detrimental influence of inter-hemispheric functional connectivity in older adults in direct comparison to a group of young adults [20]. Functional connectivity within brain networks and performance on a syntactic comprehension task were compared between older and young adults, revealing more intra-network coupling in young compared to older adults that was associated with superior language task performance.…”

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 62%

“…This phenomenon may also increase intra-individual variability in cognitive functions, in addition to an increase in inter-individual variability due to differential white matter deterioration between older adults. Particularly, brain-behavior correlations may change due to age-related complex network reorganizations involving changes in both inhibitory and excitatory processes [17,20,25,26]. …”

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 99%

“…For example, as described above for the language domain, the comparison of functional and structural networks revealed different patterns in older and young adults, not only in network properties but also in their association with language task performance [20]. In terms of functional coupling, the strength of intra-network connectivity within the left-hemisphere language network showed a behavioral relevance for syntactic abilities only in young adults.…”

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 99%

“…Here, young adults' dorsal white matter language pathways [27] predicted syntactic ability and the degree of functional coupling between the connected prefrontal and inferior parietal areas. On the other hand, older adults' ventral white matter language pathways [27] predicted syntactic ability and the degree of functional coupling between connected prefrontal and middle temporal areas [20]. …”

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 99%

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Healthy Aging by Staying Selectively Connected: A Mini-Review

Antonenko

Flöel

2013

Gerontology

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Cognitive neuroscience of the healthy aging human brain has thus far addressed age-related changes of local functional and structural properties of gray and white matter and their association with declining or preserved cognitive functions. In addition to these localized changes, recent neuroimaging research has attributed an important role to neural networks with a stronger focus on interacting rather than isolated brain regions. The analysis of functional connectivity encompasses task-dependent and -independent synchronous activity in the brain, and thus reflects the organization of the brain in distinct performance-relevant networks. Structural connectivity in white matter pathways, representing the integrity of anatomical connections, underlies the communication between the nodes of these functional networks. Both functional and structural connectivity within these networks have been demonstrated to change with aging, and to have different predictive values for cognitive abilities in older compared to young adults. Structural degeneration has been found in the entire cerebral white matter with greatest deterioration in frontal areas, affecting whole brain structural network efficiency. With regard to functional connectivity, both higher and lower functional coupling has been observed in the aging compared to the young brain. Here, high connectivity within the nodes of specific functional networks on the one hand, and low connectivity to regions outside this network on the other hand, were associated with preserved cognitive functions in aging in most cases. For example, in the language domain, connections between left-hemisphere language-related prefrontal, posterior temporal and parietal areas were described as beneficial, whereas connections between the left and right hemisphere were detrimental for language task performance. Of note, interactions between structural and functional network properties may change in the course of aging and differentially impact behavioral performance in older versus young adults. Finally, studies using noninvasive brain stimulation techniques like transcranial direct current stimulation (tDCS) to simultaneously modulate behavior and functional connectivity support the importance of ‘selective connectivity' of aging brain networks for preserved cognitive functions. These studies demonstrate that enhancing task performance by tDCS is paralleled by increased connectivity within functional networks. In this review, we outline the network perspective on healthy brain aging and discuss recent developments in this field.

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Section: Structural and Functional Brain Network In The Context Of Asupporting

confidence: 76%

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 62%

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 99%

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 99%

Section: Structural and Functional Brain Network In The Context Of Amentioning

confidence: 99%

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Healthy Aging by Staying Selectively Connected: A Mini-Review

Antonenko

Flöel

2013

Gerontology

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Functional connectivity changes in the language network during stroke recovery

Nair

Young

et al. 2015

Ann Clin Transl Neurol

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ObjectiveSeveral neuroimaging studies have examined language reorganization in stroke patients with aphasia. However, few studies have examined language reorganization in stroke patients without aphasia. Here, we investigated functional connectivity (FC) changes after stroke in the language network using resting-state fMRI and performance on a verbal fluency (VF) task in patients without clinically documented language deficits.MethodsEarly-stage ischemic stroke patients (N = 26) (average 5 days from onset), 14 of whom were tested at a later stage (average 4.5 months from onset), 26 age-matched healthy control subjects (HCs), and 12 patients with cerebrovascular risk factors (patients at risk, PR) participated in this study. We examined FC of the language network with 23 seed regions based on a previous study. We evaluated patients' behavioral performance on a VF task and correlation between brain resting-state FC (rsFC) and behavior.ResultsCompared to HCs, early stroke patients showed significantly decreased rsFC in the language network but no difference with respect to PR. Early stroke patients showed significant differences in performance on the VF task compared to HCs but not PR. Late-stage patients compared to HCs and PR showed no differences in brain rsFC in the language network and significantly stronger connections compared to early-stage patients. Behavioral differences persisted in the late stage compared to HCs. Change in specific connection strengths correlated with changes in behavior from early to late stage.ConclusionsThese results show decreased rsFC in the language network and verbal fluency deficits in early stroke patients without clinically documented language deficits.

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Human brain networks: a graph theoretical analysis of cortical connectivity normative database from EEG data in healthy elderly subjects

Vecchio

Miraglia

Judica³

et al. 2020

GeroScience

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Moving from the hypothesis that aging processes modulate brain connectivity networks, 170 healthy elderly volunteers were submitted to EEG recordings in order to define age-related normative limits. Graph theory functions were applied to exact lowresolution electromagnetic tomography on cortical sources in order to evaluate the small-world parameter as a representative model of network architecture. The analyses were carried out in the whole brain-as well as for the left and the right hemispheres separately-and in three specific resting state subnetworks defined as follows: attentional network (AN), frontal network (FN), and default mode network (DMN) in the EEG frequency bands (delta, theta, alpha 1, alpha 2, beta 1, beta 2, gamma). To evaluate the stability of the investigated parameters, a subgroup of 32 subjects underwent three separate EEG recording sessions in identical environmental conditions after a few days interval. Results showed that the whole right/left hemispheric evaluation did not present side differences, but when individual subnetworks were considered, AN and DMN presented in general higher SW in low (delta and/or theta) and high (gamma) frequency bands in the left hemisphere, while for FN, the alpha 1 band was lower in the left with respect to the right hemisphere. It was also evident the test-retest reliability and reproducibility of the present methodology when carried out in clinically stable subjects. Evidences from the present study suggest that graph theory represents a reliable method to address brain connectivity patterns from EEG data and is particularly suitable to study the physiological impact of aging on brain functional connectivity networks.

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Functional and structural syntax networks in aging

Cited by 54 publications

References 69 publications

Healthy Aging by Staying Selectively Connected: A Mini-Review

Healthy Aging by Staying Selectively Connected: A Mini-Review

Functional connectivity changes in the language network during stroke recovery

Human brain networks: a graph theoretical analysis of cortical connectivity normative database from EEG data in healthy elderly subjects

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