Functional magnetic resonance imaging as a dynamic candidate biomarker for Alzheimer's disease

Prvulovic, David; Bokde, Arun L.W.; Faltraco, Frank; Hampel, Harald

doi:10.1016/j.pneurobio.2011.05.008

Cited by 52 publications

(25 citation statements)

References 144 publications

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“…The advent of neuroimaging techniques such as EEG [48,49] , magnetoencephalography [19,50] , MRI [51,52] , functional MRI (fMRI) [53,54] , structural MRI (sMRI) have increased the study of cognitive neuroscience. They facilitate the noninvasive research of human brain mechanism and study of its complex connectivity [55,56] .…”

Section: Eeg-based Diagnosis Of Admentioning

confidence: 99%

Clinical Neurophysiological and Automated EEG-Based Diagnosis of the Alzheimer's Disease

Bhat¹,

Acharya

Dadmehr³

et al. 2015

Eur Neurol

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Alzheimer's disease (AD) is a progressive disorder affecting intellectual, behavioral and functional abilities. It is associated with age and pathological alterations leading to the formation of amyloid plaques and tangles. It is the most common source of dementia in the older population, which varies in its degrees of severity. We are yet to find efficient methods of diagnosis of AD, as its symptoms vary among individuals. This paper presents a review of recent research on the clinical neurophysiological and automated electroencephalography-based diagnosis of the AD. Various therapeutic measures are also discussed briefly.

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Section: Eeg-based Diagnosis Of Admentioning

confidence: 99%

Clinical Neurophysiological and Automated EEG-Based Diagnosis of the Alzheimer's Disease

Bhat¹,

Acharya

Dadmehr³

et al. 2015

Eur Neurol

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“…9 A more viable contribution is that of structural magnetic resonance imaging (sMRI) and resting-state functional magnetic resonance imaging (RS-fMRI). Both appear useful to describe patients diagnosed with clinically established AD, 10,11 and RS-fMRI in particular is increasingly receiving attention by researchers, as it seems to be sensitive to very early pathologic alterations. 12 Although significant reduction of regional functional connectivity in MCI has been reported in cross-sectional, 13 and longitudinal studies, 14 this evidence is the result of group-level inferential statistics, which is of limited utility for the clinical classification of single individuals.…”

mentioning

confidence: 99%

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

Marco¹,

Beltrachini

Biancardi

et al. 2017

Alzheimer Disease &Amp; Associated Disorders

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ReuseThis article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence allows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the authors for the original work. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request.

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“…The lack of behavioral differences between the groups, although helpful in avoiding a confound in interpreting fMRI differences (Price & Friston, 1999), indicates that this task does not separate the groups based on performance. However, fMRI tasks such as these help us understand neural changes that precede performance deficits and already have potential in the evaluation of pharmaceutical treatment, using fMRI brain activations as outcome measures for drug screening trials, as suggested for schizophrenia research (Dourish & Dawson, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…Amnestic Mild Cognitive Impairment (aMCI) is a condition characterized by a relatively selective decline in memory over and above what is expected in normal aging (Petersen, 2004). Having the condition is widely considered to be a highly predictive risk factor for the development of Alzheimer's Disease (AD; Morris et al, 2001;Petersen, 2004) and there is therefore diverse research into identifying aMCI patients, understanding their cognitive impairments, and predicting later conversion to dementia (Blennow, Hampel, Weiner, & Zetterberg, 2010;Prvulovic, Bokde, Faltraco, & Hampel, 2011;Sperling, 2011;Wolk & Detre, 2012). There has been a recent emphasis on investigating spatial navigation in normal and pathological aging (Gazova et al, 2012;Iachini, Iavarone, Senese, Ruotolo, & Ruggiero, 2009;Lithfous, Dufour, & Després, 2013;Moffat, 2009).…”

mentioning

confidence: 99%

Investigating virtual reality navigation in amnestic mild cognitive impairment using fMRI

Migo

O’Daly

Mitterschiffthaler

et al. 2015

Aging, Neuropsychology, and Cognition

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Spatial navigation requires a well-established network of brain regions, including the hippocampus, caudate nucleus, and retrosplenial cortex. Amnestic Mild Cognitive Impairment (aMCI) is a condition with predominantly memory impairment, conferring a high predictive risk factor for dementia. aMCI is associated with hippocampal atrophy and subtle deficits in spatial navigation. We present the first use of a functional Magnetic Resonance Imaging (fMRI) navigation task in aMCI, using a virtual reality analog of the Radial Arm Maze. Compared with controls, aMCI patients showed reduced activity in the hippocampus bilaterally, retrosplenial cortex, and left dorsolateral prefrontal cortex. Reduced activation in key areas for successful navigation, as well as additional regions, was found alongside relatively normal task performance. Results also revealed increased activity in the right dorsolateral prefrontal cortex in aMCI patients, which may reflect compensation for reduced activations elsewhere. These data support suggestions that fMRI spatial navigation tasks may be useful for staging of progression in MCI.

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Functional magnetic resonance imaging as a dynamic candidate biomarker for Alzheimer's disease

Cited by 52 publications

References 144 publications

Clinical Neurophysiological and Automated EEG-Based Diagnosis of the Alzheimer's Disease

Clinical Neurophysiological and Automated EEG-Based Diagnosis of the Alzheimer's Disease

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

Investigating virtual reality navigation in amnestic mild cognitive impairment using fMRI

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