AbstractThis article examines the diffeomorphometry of magnetic resonance imaging-derived structural markers for the amygdala, in subjects with symptomatic Alzheimer's disease (AD). Using linear mixed-effects models we show differences between those with symptomatic AD and controls. Based on template centered population analysis, the distribution of statistically significant change is seen in both the volume and shape of the amygdala in subjects with symptomatic AD compared with controls. We find that high-dimensional vertex based markers are statistically more significantly discriminating (p < 0.00001) than lower-dimensional markers and volumes, consistent with comparable findings in presymptomatic AD. Using a high-field 7T atlas, signific...
Crude and corrected amygdaloid volumes were computed from magnetic resonance scans in ten patients w...
The amygdala is severely atrophied at post-mortem in frontotemporal lobar degeneration (FTLD), and m...
This article assesses the feasibility of using shape information to detect and quantify the subcorti...
AbstractThis article examines the diffeomorphometry of magnetic resonance imaging-derived structural...
AbstractThis paper examines morphometry of MRI biomarkers derived from the network of temporal lobe ...
OBJECTIVE: Histologic studies show that the amygdala is affected by Alzheimer disease (AD) patholog...
International audienceCurrent research suggests that amygdalar volumes in patients with Alzheimer's ...
We proposed a diffeomorphometry-based statistical pipeline to study the regional shape change rates ...
Abstract: Current research suggests that amygdalar volumes in patients with Alzheimer’s disease (AD)...
Histologic studies show that the amygdala is affected by Alzheimer disease (AD) pathology, and its m...
Background Differentiating between Alzheimer disease (AD) and frontotemporal lobar degeneration (FT...
BACKGROUND: Differentiating between Alzheimer disease (AD) and frontotemporal lobar degeneration (FT...
AbstractThis paper uses diffeomorphometry methods to quantify the order in which statistically signi...
This paper uses diffeomorphometry methods to quantify the order in which statistically significant m...
Alterations in brain structures, including progressive neurodegeneration, are a hallmark in patients...
Crude and corrected amygdaloid volumes were computed from magnetic resonance scans in ten patients w...
The amygdala is severely atrophied at post-mortem in frontotemporal lobar degeneration (FTLD), and m...
This article assesses the feasibility of using shape information to detect and quantify the subcorti...
AbstractThis article examines the diffeomorphometry of magnetic resonance imaging-derived structural...
AbstractThis paper examines morphometry of MRI biomarkers derived from the network of temporal lobe ...
OBJECTIVE: Histologic studies show that the amygdala is affected by Alzheimer disease (AD) patholog...
International audienceCurrent research suggests that amygdalar volumes in patients with Alzheimer's ...
We proposed a diffeomorphometry-based statistical pipeline to study the regional shape change rates ...
Abstract: Current research suggests that amygdalar volumes in patients with Alzheimer’s disease (AD)...
Histologic studies show that the amygdala is affected by Alzheimer disease (AD) pathology, and its m...
Background Differentiating between Alzheimer disease (AD) and frontotemporal lobar degeneration (FT...
BACKGROUND: Differentiating between Alzheimer disease (AD) and frontotemporal lobar degeneration (FT...
AbstractThis paper uses diffeomorphometry methods to quantify the order in which statistically signi...
This paper uses diffeomorphometry methods to quantify the order in which statistically significant m...
Alterations in brain structures, including progressive neurodegeneration, are a hallmark in patients...
Crude and corrected amygdaloid volumes were computed from magnetic resonance scans in ten patients w...
The amygdala is severely atrophied at post-mortem in frontotemporal lobar degeneration (FTLD), and m...
This article assesses the feasibility of using shape information to detect and quantify the subcorti...