Changes in mild cognitive impairment and its subtypes as seen on diffusion tensor imaging

Thillainadesan, Senthil; Wang, Wen; Zhuang, Lin; Crawford, John D.; Kochan, Nicole A.; Reppermund, Simone; Slavin, Melissa J.; Trollor, Julian N.; Brodaty, Henry; Sachdev, Perminder S.

doi:10.1017/s1041610212000270

Cited by 22 publications

(15 citation statements)

References 30 publications

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“…These findings are aligned with those of previous studies that report significantly reduced FA in the hippocampus, genu and splenium of the corpus callosum; posterior cingulum; corona radiata; SLF; and frontal and temporal white matter of patients with MCI compared with controls. 11,15 The only region that differs between our findings and previous ones is that of reduced FA in the posterior thalamic radiation. To our knowledge, no previous studies have found significantly reduced FA in the posterior thalamic radiation of patients with MCI; however, this finding is not surprising given that a recent resting-state functional MRI study reported significantly disrupted connectivity between the thalamus and several brain regions in patients with MCI.…”

Section: Discussioncontrasting

confidence: 87%

“…13,14 Similar findings of decreased FA in frontal and temporal white matter have been demonstrated in patients with MCI without a history of depression. 11,15 Importantly, the white matter changes seen in patients with MCI and MD parallel those reported in patients with Alzheimer disease and vascular dementia, though more severe and extensive disruptions are seen in patients with advanced disease. 11 These findings support the notion that cognitive impairment may be underpinned by white matter pathology in these patient groups.…”

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confidence: 74%

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Cognitive impairment with and without depression history: an analysis of white matter microstructure

Duffy

Paradise

Hickie

et al. 2014

J Psychiatry Neurosci

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Section: Discussioncontrasting

confidence: 87%

mentioning

confidence: 74%

Cognitive impairment with and without depression history: an analysis of white matter microstructure

Duffy

Paradise

Hickie

et al. 2014

J Psychiatry Neurosci

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“…Changes in WM FA are related to worse performance on tests that rely on processing speed and executive functioning (Malloy, Correia et al 2007; Turken, Whitfield-Gabrieli et al 2008; Perez-Iglesias, Tordesillas-Gutierrez et al 2010). Reduced FA in the corpus callosum has been associated with cognitive impairment in Alzheimer disease and may play a similar role in the observed working memory deficits of BD patients (Thillainadesan, Wen et al 2012). Increased WM organization, indicated by higher FA values in the ILF, has been associated with lower discounting rates (increased preference for larger delayed rewards) (Olson, Collins et al 2009).…”

Section: Discussionmentioning

confidence: 91%

DTI tractography and white matter fiber tract characteristics in euthymic bipolar I patients and healthy control subjects

Torgerson

Irimia

Leow³

et al. 2012

Brain Imaging and Behavior

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With the introduction of diffusion tensor imaging (DTI), structural differences in white matter (WM) architecture between psychiatric populations and healthy controls can be systematically observed and measured. In particular, DTI-tractography can be used to assess WM characteristics over the entire extent of WM tracts and aggregated fiber bundles. Using 64-direction DTI scanning in 27 participants with bipolar disorder (BD) and 26 age-and-gender-matched healthy control subjects, we compared relative length, density, and fractional anisotrophy (FA) of WM tracts involved in emotion regulation or theorized to be important neural components in BD neuropathology. We interactively isolated 22 known white matter tracts using region-of-interest placement (TrackVis software program) and then computed relative tract length, density, and integrity. BD subjects demonstrated significantly shorter WM tracts in the genu, body and splenium of the corpus callosum compared to healthy controls. Additionally, bipolar subjects exhibited reduced fiber density in the genu and body of the corpus callosum, and in the inferior longitudinal fasciculus bilaterally. In the left uncinate fasciculus, however, BD subjects exhibited significantly greater fiber density than healthy controls. There were no significant differences between groups in WM tract FA for those tracts that began and ended in the brain. The significance of differences in tract length and fiber density in BD is discussed.

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“…Interestingly, in one study, patients with mild cognitive impairment had increased mean diffusivity in the genu and splenium of the corpus callosum, as well as in the anterior corona radiata (Thillainadesan et al, 2012), three of the regions identified in Risk Cluster group 3. The anterior corona radiata connects prefrontal regions with the basal ganglia and spinal cord.…”

Section: Discussionmentioning

confidence: 99%

Characterization of a normal control group: Are they healthy?

Aine¹,

Sanfratello²,

Adair³

et al. 2014

NeuroImage

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We examined the health of a control group (18–81 years) in our aging study, which is similar to control groups used in other neuroimaging studies. The current study was motivated by our previous results showing that one third of the elder control group had moderate to severe white matter hyperintensities and/or cortical volume loss which correlated with poor performance on memory tasks. Therefore, we predicted that cardiovascular risk factors (e.g., hypertension, high cholesterol) within the control group would account for significant variance on working memory task performance. Fifty-five participants completed 4 verbal and spatial working memory tasks, neuropsychological exams, diffusion tensor imaging (DTI), and blood tests to assess vascular risk. In addition to using a repeated measures ANOVA design, a cluster analysis was applied to the vascular risk measures as a data reduction step to characterize relationships between conjoint risk factors. The cluster groupings were used to predict working memory performance. The results show that higher levels of systolic blood pressure were associated with: 1) poor spatial working memory accuracy; and 2) lower fractional anisotropy (FA) values in multiple brain regions. In contrast, higher levels of total cholesterol corresponded with increased accuracy in verbal working memory. An association between lower FA values and higher cholesterol levels were identified in different brain regions from those associated with systolic blood pressure. The conjoint risk analysis revealed that Risk Cluster Group 3 (the group with the greatest number of risk factors) displayed: 1) the poorest performance on the spatial working memory tasks; 2) the longest reaction times across both spatial and verbal memory tasks; and 3) the lowest FA values across widespread brain regions. Our results confirm that a considerable range of vascular risk factors are present in a typical control group, even in younger individuals, which have robust effects on brain anatomy and function. These results present a new challenge to neuroimaging studies both for defining a cohort from which to characterize `normative' brain circuitry and for establishing a control group to compare with other clinical populations.

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Changes in mild cognitive impairment and its subtypes as seen on diffusion tensor imaging

Abstract: MCI is associated with changes in white matter and subcortical regions as seen on DTI. Changes in some anterior brain regions distinguish aMCI from naMCI.

Cited by 22 publications

References 30 publications

Cognitive impairment with and without depression history: an analysis of white matter microstructure

Cognitive impairment with and without depression history: an analysis of white matter microstructure

DTI tractography and white matter fiber tract characteristics in euthymic bipolar I patients and healthy control subjects

Characterization of a normal control group: Are they healthy?

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