Alzheimer Disease: Evaluation of a Functional MR Imaging Index as a Marker

Li, Shi-Jiang; Li, Zhu; Wu, Guo‐Rong; Zhang, Mei‐Jie; Franczak, Malgorzata; Antuono, Piero

doi:10.1148/radiol.2251011301

Cited by 269 publications

(233 citation statements)

References 48 publications

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“…Many other analyses of resting state in neurological diseases concentrated on the default mode network (DMN), or focused on a small number of regions, for example by using univariate methods to compare the goodness of fit of patients and controls to a standard DMN template (Greicius et al, 2004), or by measuring the cross-correlation coefficient of activity over time for a single region (Li et al, 2002). In MS, some studies (Lowe et al, 2008) explored functional connectivity only to and from motor areas and did not find significant whole-group difference between minimally-disabled MS patients and healthy controls.…”

Section: Discussionmentioning

confidence: 99%

“…Many publications have focused on analysing the default-mode network (DMN) (Buckner et al, 2008), a set of regions highly synchronised during rest. This methodology has been used in several diseases characterised by diffuse lesions (Fox and Greicius, 2010) such as schizophrenia (Jafri et al, 2008), Alzheimer's disease (Li et al, 2002;Greicius et al, 2004) or depression (Greicius et al, 2007), but investigations in MS are limited to relatively fewer publications. For example, Cover et al (2006) found decreased inter-hemispheric connectivity in MS patients at rest, using a coherence measure based on magneto-encephalography (MEG).…”

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Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

et al. 2012

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Section: Discussionmentioning

confidence: 99%

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Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

et al. 2012

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“…Using these methods, the group separately demonstrated a parametric reduction in the COSLOF index and a parametric increase in the PSI within the hippocampus from controls to patients with mild cognitive impairment (MCI)(a transitional stage between normal aging and AD) to AD patients, suggesting that the synchrony of SLFF components of the hippocampus deteriorates along a continuum from normal synchrony through mild asynchrony in MCI to severe asynchrony in AD (Li et al 2002;Xu et al 2008). Additionally, they found that an exponential curve could describe the relationship between the COSLOF index and Mini-Mental Status Examination (MMSE) scores, which indicated a rapid decrease in cognitive capacity in AD (Li et al 2002). These studies indicate that the cross-correlation coefficients of SLFF could be regarded as quantitative markers for the early diagnosis of AD.…”

Section: Properties Of Local Spontaneous Activitymentioning

confidence: 99%

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

et al. 2010

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As functional magnetic resonance imaging (fMRI) studies have yielded increasing amounts of information about the brain's spontaneous activity, they have revealed fMRI's potential to locate changes in brain hemodynamics that are associated with neuropsychiatric disorders. In this paper, we review studies that support the notion that changes in brain spontaneous activity observed by fMRI can be used as potential biomarkers for diagnosis and treatment evaluation in neuropsychiatric disorders. We first review the methods used to study spontaneous activity from the perspectives of (1) the properties of local spontaneous activity, (2) the spatial pattern of spontaneous activity, and (3) the topological properties of brain networks. We also summarize the major findings associated with major neuropsychiatric disorders obtained using these methods. Then we review the pilot studies that have used spontaneous activity to discriminate patients from normal controls. Finally, we discuss current challenges and potential research directions to further elucidate the clinical use of spontaneous brain activity in neuropsychiatric disorders.

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“…It should also be noted that another technique, Cross-correlation Coefficients of Spontaneous Low Frequency (COSLOF) [Li et al, 2002], which was originally introduced to measure average inter-regional correlation, could be made equivalent to ILC if the COSLOF calculation is done with correlations between a given voxel and its neighborhood.…”

Section: Comparison Of Ilc and Rehomentioning

confidence: 99%

Integrated local correlation: A new measure of local coherence in fMRI data

Deshpande

LaConte

Peltier

et al. 2007

Human Brain Mapping

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This article introduces the measure of integrated local correlation (ILC) for assessing local coherence in the brain using functional magnetic resonance imaging (fMRI) data and characterizes the measure in terms of reproducibility, the effect of physiological noise, and the dependence on image resolution. The coupling of local neuronal processes influences coherence in a voxel's neighborhood. ILC is defined, for each voxel, as the integration of its spatial correlation function. This integrated measure does not require the specification of a neighborhood and, as demonstrated by experimental data, is effectively independent of image resolution. Respiratory and cardiac fluctuations do not considerably alter the ILC value except in isolated areas in and surrounding large vessels. With resting-state fMRI data, ILC was demonstrated to be tissue-specific, higher in gray matter than white matter, and reproducible across consecutive runs in healthy individuals. Within the gray matter, ILC was found to be higher in the default mode network, particularly the posterior and anterior cingulate cortices. Comparing ILC maps obtained from resting state and continuous motor task data, we observed reduced local coherence in the default mode network during the task. Finally, we compared ILC and regional homogeneity by examining their ability to discriminate between gray and white matters in resting state data and found ILC to be more sensitive.

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Alzheimer Disease: Evaluation of a Functional MR Imaging Index as a Marker

Abstract: Our results suggest that the COSLOF index could be used as a noninvasive quantitative marker for the preclinical stage of AD.

Cited by 269 publications

References 48 publications

Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

Integrated local correlation: A new measure of local coherence in fMRI data

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