Principles and open questions in functional brain network reconstruction DOI
Onerva Korhonen, Massimiliano Zanin, David Papo

и другие.

Human Brain Mapping, Год журнала: 2021, Номер 42(11), С. 3680 - 3711

Опубликована: Май 20, 2021

Abstract Graph theory is now becoming a standard tool in system‐level neuroscience. However, endowing observed brain anatomy and dynamics with complex network representation involves often covert theoretical assumptions methodological choices which affect the way networks are reconstructed from experimental data, ultimately resulting properties their interpretation. Here, we review some fundamental conceptual underpinnings technical issues associated reconstruction, discuss how mutual influence concurs clarifying organization of function.

Язык: Английский

Dopamine depletion alters macroscopic network dynamics in Parkinson’s disease DOI Open Access
James M. Shine, Peter T. Bell, Elie Matar

и другие.

Brain, Год журнала: 2019, Номер 142(4), С. 1024 - 1034

Опубликована: Янв. 31, 2019

Using a dynamic graph theoretical approach, Shine et al. show that individuals with Parkinson’s disease demonstrate heightened network-level integration during the ‘Off’ state is inversely correlated motor symptom severity. Network-level relates to two measures of neurocognitive reserve, suggesting protective function for integration.

Язык: Английский

Процитировано

66

Left Frontal Hub Connectivity during Memory Performance Supports Reserve in Aging and Mild Cognitive Impairment DOI Open Access
Nicolai Franzmeier,

Julia Hartmann,

Alexander N.W. Taylor

и другие.

Journal of Alzheimer s Disease, Год журнала: 2017, Номер 59(4), С. 1381 - 1392

Опубликована: Июль 18, 2017

Reserve in aging and Alzheimer's disease (AD) is defined as maintaining cognition at a relatively high level the presence of neurodegeneration, an ability often associated with higher education among other life factors.Recent evidence suggests that resting-state functional connectivity within frontoparietal control network, specifically left frontal cortex (LFC) hub, contributes to reserve.Following up these previous fMRI findings, we probed memory-task related LFC hub neural substrate reserve.In elderly controls (CN, n = 37) patients mild cognitive impairment (MCI, 17), assessed global during successful face-name association learning, using generalized psychophysiological interaction analyses.Reserve was quantified residualized memory performance, accounted for gender proxies neurodegeneration (age, hippocampus atrophy, APOE genotype).We found greater LFC-connectivity both CN MCI memory.Furthermore, predicted (i.e., reserve).These results suggest reserve healthy pathological aging.

Язык: Английский

Процитировано

64

Reorganization of cerebro‐cerebellar circuit in patients with left hemispheric gliomas involving language network: A combined structural and resting‐state functional MRI study DOI Open Access
Nan Zhang, Mingrui Xia, Tianming Qiu

и другие.

Human Brain Mapping, Год журнала: 2018, Номер 39(12), С. 4802 - 4819

Опубликована: Июль 27, 2018

Abstract The role of cerebellum and cerebro‐cerebellar system in neural plasticity induced by cerebral gliomas involving language network has long been ignored. Moreover, whether or not the process reorganization is different glioma patients with growth kinetics remains largely unknown. To address this issue, we utilized preoperative structural resting‐state functional MRI data 78 left areas, including 46 low‐grade (LGG, WHO grade II), 32 high‐grade (HGG, III/IV), 44 healthy controls. Spontaneous brain activity, connectivity gray matter volume alterations were examined. We found that both LGG HGG exhibited bidirectional alteration activity language‐related cerebellar areas. Brain areas increased was significantly correlated MMSE scores. Structurally, greater regions suggesting a structure–function coupled cerebellum. Furthermore, observed decreased contralesional patients. Together, our findings provide empirical evidence for vital circuit following lesional damage to network. highlight possible reorganizational mechanisms underlying levels behavioral impairments

Язык: Английский

Процитировано

62

Repetitive Transcranial Magnetic Stimulation Induced Hypoconnectivity Within the Default Mode Network Yields Cognitive Improvements in Amnestic Mild Cognitive Impairment: A Randomized Controlled Study DOI
Hailun Cui,

Ru‐Jing Ren,

Guozhen Lin

и другие.

Journal of Alzheimer s Disease, Год журнала: 2019, Номер 69(4), С. 1137 - 1151

Опубликована: Май 20, 2019

Repetitive transcranial magnetic stimulation (rTMS) is thought to be effective in alleviating cognitive symptoms patients with amnestic mild impairment (aMCI), but the mechanisms related network modification are poorly understood. Here we tested rTMS efficacy and explored effect of rTMS-induced changes default mode (DMN) their predictive value for treatment response. Twenty-one subjects clinically diagnosed aMCI were recruited complete a 10-session randomized sham-controlled targeting right dorsolateral prefrontal cortex. Resting-state functional resonance imaging tandem neuropsychological assessments administered before after intervention. Changes connectivity DMN relevant brain regions, as well correlations between baseline clinical rating scales calculated order elucidate mechanism response therapy. Compared sham group, group achieved improvement performance significant within DMN. Group×Time interactions found posterior cingulate gyrus fusiform (F (1,19) = 17.154, p 0.001), also left anterior 3.908, 0.063), showing an deactivation Baseline analysis seeds revealed negative correlation AVLT-Recognition score changes. hypoconnectivity associated improvements aMCI. Further, pre-rTMS activity at rest may predictor favorable

Язык: Английский

Процитировано

56

Principles and open questions in functional brain network reconstruction DOI
Onerva Korhonen, Massimiliano Zanin, David Papo

и другие.

Human Brain Mapping, Год журнала: 2021, Номер 42(11), С. 3680 - 3711

Опубликована: Май 20, 2021

Abstract Graph theory is now becoming a standard tool in system‐level neuroscience. However, endowing observed brain anatomy and dynamics with complex network representation involves often covert theoretical assumptions methodological choices which affect the way networks are reconstructed from experimental data, ultimately resulting properties their interpretation. Here, we review some fundamental conceptual underpinnings technical issues associated reconstruction, discuss how mutual influence concurs clarifying organization of function.

Язык: Английский

Процитировано

49