Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment

Fellgiebel, Andreas; Müller, Matthias J.; Wille, Paulo Roberto; Dellani, Paulo R.; Scheurich, Armin; Schmidt, Lutz; Stoeter, P.

doi:10.1016/j.neurobiolaging.2004.11.006

Cited by 254 publications

(192 citation statements)

References 32 publications

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“…These results agree with our current understanding of relationships between brain regions and domains of cognitive function and reveal a pattern of poorer cognitive test performance in association with loss of anisotropic diffusion. [42][43][44][45] Our study has several limitations. The small sample size limits the power of this pilot investigation.…”

Section: Discussionmentioning

confidence: 95%

Diffusion Tensor Imaging of Normal-Appearing White Matter in Mild Cognitive Impairment and Early Alzheimer Disease: Preliminary Evidence of Axonal Degeneration in the Temporal Lobe

Huang

Friedland²,

Auchus³

2007

American Journal of Neuroradiology

200

138

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Section: Discussionmentioning

confidence: 95%

Diffusion Tensor Imaging of Normal-Appearing White Matter in Mild Cognitive Impairment and Early Alzheimer Disease: Preliminary Evidence of Axonal Degeneration in the Temporal Lobe

Huang

Friedland²,

Auchus³

2007

American Journal of Neuroradiology

200

138

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“…Several cross-sectional DTI studies revealed white matter integrity changes in AD dementia patients compared to healthy controls in wide spread commissural, association, and limbic fiber tracts, whereas extracortical projecting fiber tracts were found to be relatively preserved until advanced stages of the disease (Bozzali et al, 2002(Bozzali et al, , 2001Fellgiebel et al, 2005;Friese et al, 2010;Huang, Friedland, & Auchus, 2007;Medina et al, 2006;Naggara et al, 2006;Stahl et al, 2007;Xie et al, 2006;Zhang et al, 2007). In MCI subjects, disruptions of white matter integrity were mainly reported for limbic fiber tracts with direct connections to medial temporal lobe structures, including the posterior and parahippocampal cingulum, the perforant path, the fornix, and the uncinate fasciculus (Fellgiebel et al, 2005;Kalus et al, 2006;Sexton et al, 2010;Zhang et al, 2007).…”

Section: Structural Disconnection In the Course Of Admentioning

confidence: 99%

“…In MCI subjects, disruptions of white matter integrity were mainly reported for limbic fiber tracts with direct connections to medial temporal lobe structures, including the posterior and parahippocampal cingulum, the perforant path, the fornix, and the uncinate fasciculus (Fellgiebel et al, 2005;Kalus et al, 2006;Sexton et al, 2010;Zhang et al, 2007).…”

Section: Structural Disconnection In the Course Of Admentioning

confidence: 99%

Measuring Cortical Connectivity in Alzheimer’s Disease as a Brain Neural Network Pathology: Toward Clinical Applications

Teipel

Grothe

Zhou

et al. 2016

J Int Neuropsychol Soc

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Objectives: The objective was to review the literature on diffusion tensor imaging as well as resting-state functional magnetic resonance imaging and electroencephalography (EEG) to unveil neuroanatomical and neurophysiological substrates of Alzheimer's disease (AD) as a brain neural network pathology affecting structural and functional cortical connectivity underlying human cognition. Methods: We reviewed papers registered in PubMed and other scientific repositories on the use of these techniques in amnesic mild cognitive impairment (MCI) and clinically mild AD dementia patients compared to cognitively intact elderly individuals (Controls). Results: Hundreds of peer-reviewed (cross-sectional and longitudinal) papers have shown in patients with MCI and mild AD compared to Controls (1) impairment of callosal (splenium), thalamic, and anterior-posterior white matter bundles; (2) reduced correlation of resting state blood oxygen level-dependent activity across several intrinsic brain circuits including default mode and attention-related networks; and (3) abnormal power and functional coupling of resting state cortical EEG rhythms. Clinical applications of these measures are still limited. Conclusions: Structural and functional (in vivo) cortical connectivity measures represent a reliable marker of cerebral reserve capacity and should be used to predict and monitor the evolution of AD and its relative impact on cognitive domains in pre-clinical, prodromal, and dementia stages of AD. (JINS, 2016, 22, 138-163)

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“…When compared with demented patients and controls without cognitive impairment, individuals with MCI (hereafter known as MCIs) have intermediate amounts of AD pathological signs, such as amyloid deposition, tau-positive tangles in medial temporal lobes (Mufson et al 1999), cholinergic dysfunction (Haense et al 2012), gray matter loss (Chételat et al 2002), and white matter lesions (Fellgiebel et al 2005). These neuropathological features could be considered intermediate between normal aging and early AD (Petersen et al 2006;He et al 2009;Zhang et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

López

Garcés

Cuesta

et al. 2014

AGE

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Mild cognitive impairment (MCI) is a stage between healthy aging and dementia. It is known that in this condition the connectivity patterns are altered in the resting state and during cognitive tasks, where an extra effort seems to be necessary to overcome cognitive decline. We aimed to determine the functional connectivity AGE (2014) pattern required to deal with an internally directed cognitive state (IDICS) in healthy aging and MCI. This task differs from the most commonly employed ones in neurophysiology, since inhibition from external stimuli is needed, allowing the study of this control mechanism. To this end, magnetoencephalographic (MEG) signals were acquired from 32 healthy individuals and 38 MCI patients, both in resting state and while performing a subtraction task of two levels of difficulty. Functional connectivity was assessed with phase locking value (PLV) in five frequency bands. Compared to controls, MCIs showed higher PLV values in delta, theta, and gamma bands and an opposite pattern in alpha, beta, and gamma bands in resting state. These changes were associated with poorer neuropsychological performance. During the task, this group exhibited a hypersynchronization in delta, theta, beta, and gamma bands, which was also related to a lower cognitive performance, suggesting an abnormal functioning in this group. Contrary to controls, MCIs presented a lack of synchronization in the alpha band which may denote an inhibition deficit. Additionally, the magnitude of connectivity changes rose with the task difficulty in controls but not in MCIs, in line with the compensation-related utilization of neural circuits hypothesis (CRUNCH) model.

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Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment

Cited by 254 publications

References 32 publications

Diffusion Tensor Imaging of Normal-Appearing White Matter in Mild Cognitive Impairment and Early Alzheimer Disease: Preliminary Evidence of Axonal Degeneration in the Temporal Lobe

Diffusion Tensor Imaging of Normal-Appearing White Matter in Mild Cognitive Impairment and Early Alzheimer Disease: Preliminary Evidence of Axonal Degeneration in the Temporal Lobe

Measuring Cortical Connectivity in Alzheimer’s Disease as a Brain Neural Network Pathology: Toward Clinical Applications

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

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