E. Reiman

Publications92
h-index28
Citations3,579
Highly Influential Citations241
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Neural correlates of heart rate variability during emotion
TLDR
The vagal (high frequency [HF]) component of heart rate variability (HRV) predicts survival in post-myocardial infarction patients and is considered to reflect vagal antagonism of sympathetic influences. Expand
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Brain abnormalities in human obesity: A voxel-based morphometric study
Obesity is accompanied by damage to several tissues. Overweight is a risk factor for Alzheimer's disease and other neurodegenerative disorders. Whether structural abnormalities associated with excess… Expand
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Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
TLDR
We propose a method based on sparse inverse covariance estimation (SICE) to identify functional brain connectivity networks from PET data. Expand
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Neuroanatomical Correlates of Veridical and Illusory Recognition Memory: Evidence from Positron Emission Tomography
Memory distortions and illusions have been thoroughly documented in psychological studies, but little is known about the neuroanatomical correlates of true and false memories. Vivid but illusory… Expand
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Brain regions associated with retrieval of structurally coherent visual information
TLDR
We show, by positron emission tomography, that increases in blood flow in inferior temporal regions are associated with object decisions about possible but not impossible objects, and that there are increases in the vicinity of the hippocampal formation associated with episodic recognition of possible objects. Expand
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Characterizing Alzheimer's disease using a hypometabolic convergence index
TLDR
This article introduces a hypometabolic convergence index (HCI) for the assessment of Alzheimer's disease (AD); compares it to other biological, cognitive and clinical measures; and demonstrates its promise to predict clinical decline in mild cognitive impairment (MCI) patients using data from the AD Neuroimaging Initiative. Expand
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Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
TLDR
We study sparse inverse covariance estimation (SICE), also known as exploratory Gaussian graphical models, for brain connectivity modeling. Expand
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Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects
TLDR
Tensor-based morphometry is a powerful method to map the 3D profile of brain degeneration in Alzheimer's disease (AD) and mild cognitive impairment (MCI). Expand
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Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
TLDR
We propose a sparse composite linear discriminant analysis model (SCLDA) for identification of disease-related brain regions of early AD from multi-modality data. Expand
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Association between trait emotional awareness and dorsal anterior cingulate activity during emotion is arousal-dependent
TLDR
The dorsal anterior cingulate cortex (dACC) is commonly thought to subserve primarily cognitive functions, but has been strongly implicated in the allocation of attention to emotional information. Expand
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