Abnormal integrity of association fiber tracts in amnestic mild cognitive impairment

Bai, Feng; Zhang, Zhijun; Watson, David; Yu, Hui; Shi, Yongmei; Yuan, Yonggui; Qian, Yun; Jia, Jianping

doi:10.1016/j.jns.2008.12.009

Cited by 53 publications

(36 citation statements)

References 37 publications

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“…Thus, the disease-related increases in the absolute path length may be attributable to the degeneration of fiber bundles used for information transmission. Consistent with previous studies associated with WM disconnections in the brain of RGD (Yuan et al, 2010) and aMCI (Bai et al, 2009a), this study is the first to report topologically convergent and divergent patterns of the whole-brain WM networks between these patients.…”

Section: Discussionsupporting

confidence: 90%

“…This finding was similar to that of a recent WM network study of AD, showing disconnections of the WM in these regions (Lo et al, 2010). Moreover, the abnormal frontal lobe has been reported in previous WM integrity studies of RGD (Alexopoulos et al, 2008;Yuan et al, 2010) and aMCI patients (Bai et al, 2009a;Zhuang et al, 2010;Sexton et al, 2011). Interestingly, our previous fMRI studies associated partly with the frontal regions indicated increased functional connectivity in RGD (Yuan et al, 2008b; and aMCI patients (Bai et al, 2009b).…”

Section: Common Deficits Of Regional/ Connection Characteristics In Tsupporting

confidence: 92%

“…However, we cannot exclude the possibility that the antidepressant medication of the RGD patients may be a reason for the high regional efficiency. Importantly, there was no significant disrupted nodal efficiency of the PCG in the WM networks between the patients and the controls, although previous DTI studies related to RGD (Yuan et al, 2010) and aMCI (Bai et al, 2009a) found altered regional integrity in this structure. This implied that the homeostasis (i.e., nodal efficiency of PCG) of complex networks allowing for the segregation and integration of information processing seemed to be more solid compared with regional changes.…”

Section: Common Deficits Of Regional/ Connection Characteristics In Tmentioning

confidence: 53%

“…A written informed consent was obtained from all of the participants, and the study was approved by the Research Ethics Committee of Affiliated ZhongDa Hospital, Southeast University. Some of these subjects were previously enrolled in our independent studies (Bai et al, 2009a;Yuan et al, 2010). …”

Section: Subjectsmentioning

confidence: 99%

See 3 more Smart Citations

Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment

Bai¹,

Shu²,

Yuan³

et al. 2012

J. Neurosci.

282

246

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Alzheimer's disease (AD) can be conceptualized as a disconnection syndrome. Both remitted geriatric depression (RGD) and amnestic mild cognitive impairment (aMCI) are associated with a high risk for developing AD. However, little is known about the similarities and differences in the topological patterns of white matter (WM) structural networks between RGD and aMCI. In this study, diffusion tensor imaging and deterministic tractography were used to map the human WM networks of 35 RGD patients, 38 aMCI patients, and 30 healthy subjects. Furthermore, graph theoretical methods were applied to investigate the alterations in the global and regional properties of the WM network in these patients. First, both the RGD and aMCI patients showed abnormal global topology in their WM networks (i.e., reduced network strength, reduced global efficiency, and increased absolute path length) compared with the controls, and there were no significant differences in these global network properties between the patient groups. Second, similar deficits of the regional and connectivity characteristics in the WM networks were primarily found in the frontal brain regions of RGD and aMCI patients compared with the controls, while a different nodal efficiency of the posterior cingulate cortex and several prefrontal brain regions were also observed between the patient groups. Together, our study provides direct evidence for the association of a great majority of convergent and a minority of divergent connectivity of WM structural networks between RGD and aMCI patients, which may lead to increasing attention in defining a population at risk of AD.

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Section: Discussionsupporting

confidence: 90%

Section: Common Deficits Of Regional/ Connection Characteristics In Tsupporting

confidence: 92%

Section: Common Deficits Of Regional/ Connection Characteristics In Tmentioning

confidence: 53%

Section: Subjectsmentioning

confidence: 99%

See 2 more Smart Citations

Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment

Bai¹,

Shu²,

Yuan³

et al. 2012

J. Neurosci.

282

246

View full text Add to dashboard Cite

show abstract

“…Importantly, areas of increased amyloid deposition in healthy and potentially pre-MCI elderly individuals exhibited abnormal taskrelated BOLD signal in DMN regions (Sperling et al, 2009). In parallel, it has been demonstrated that white matter anisotropy is altered in the vicinity of the DMN in patients with amnesic MCI (Bai et al, 2009). Ideally, future work will combine these metrics of pathology in a single population of AD patients so that the interconnections between them can be better understood.…”

Section: Structural Damage and Functional Deficitsmentioning

confidence: 99%

Can structure predict function in the human brain?

2010

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Predicting neurocognitive function with hippocampal volumes and DTI metrics in patients with Alzheimer's dementia and mild cognitive impairment

et al. 2017

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IntroductionCognitive performance in patients with Alzheimer's dementia (AD) and mild cognitive impairment (MCI) has been reported to be related to hippocampal atrophy and microstructural changes in white matter (WM). We aimed to predict the neurocognitive functions of patients with MCI or AD using hippocampal volumes and diffusion tensor imaging (DTI) metrics via partial least squares regression (PLSR).MethodsA total of 148 elderly female subjects were included: AD (n = 49), MCI (n = 66), and healthy controls (n = 33). Twenty‐four hippocampal subfield volumes and the average values for fractional anisotropy (FA) and mean diffusivity (MD) of 48 WM tracts were used as predictors, CERAD‐K total scores, scores of CERAD‐K 7 cognitive subdomains and K‐GDS were used as dependent variables in PLSR.ResultsRegarding MCI patients, DTI metrics such as the MD values of the left retrolenticular part of the internal capsule and left fornix (cres)/stria terminalis were significant predictors, while hippocampal subfield volumes, like the left CA1 and hippocampal tail, were main contributors to cognitive function in AD patients, although global FA/MD values were also strong predictors. The 10‐fold cross‐validation and stricter 300‐iteration tests proved that global cognition measured by the CERAD‐K total scores and the scores of several CERAD‐K subdomains can be reliably predicted using the PLSR models.ConclusionsOur findings indicate different structural contributions to cognitive function in MCI and AD patients, implying that diffuse WM microstructural changes may precede hippocampal atrophy during the AD neurodegenerative process.

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Abnormal integrity of association fiber tracts in amnestic mild cognitive impairment

Cited by 53 publications

References 37 publications

Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment

Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment

Can structure predict function in the human brain?

Predicting neurocognitive function with hippocampal volumes and DTI metrics in patients with Alzheimer's dementia and mild cognitive impairment

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