Altered Parietal Brain Oxygenation in Alzheimer's Disease as Assessed With Near-Infrared Spectroscopy

Zeller, Julia; Herrmann, Martin J.; Ehlis, Ann‐Christine; Polak, Thomas; Fallgatter, Andreas J.

doi:10.1097/jgp.0b013e3181c65821

Cited by 49 publications

(40 citation statements)

References 36 publications

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“…According to the hemoneural hypothesis, cerebral hemodynamics play an important role in information processing via the modulation of neural activity [31]. Since impaired cerebral blood flow is a hallmark in AD (e.g., [32,33]), quantitative measurement of neuromodulatory activity may provide a useful tool for automated characterization of Alzheimer's disease. In addition, the proposed spectro-temporal analysis technique allows for direct characterization of crossfrequency interaction effects (by measuring rates at which EEG subbands are modulated), thus provides complementary information to conventional frequency and timefrequency methods.…”

Section: Introductionmentioning

confidence: 99%

EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer’s disease

Falk

Fraga

Trambaiolli

et al. 2012

EURASIP J. Adv. Signal Process.

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Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer's disease (AD). In this paper, we present a new electroencephalogram (EEG) based metric to quantitatively characterize neuromodulatory activity. More specifically, the short-term EEG amplitude modulation rate-of-change (i.e., modulation frequency) is computed for five EEG subband signals. To test the performance of the proposed metric, a classification task was performed on a database of 32 participants partitioned into three groups of approximately equal size: healthy controls, patients diagnosed with mild AD, and those with moderate-to-severe AD. To gauge the benefits of the proposed metric, performance results were compared with those obtained using EEG spectral peak parameters which were recently shown to outperform other conventional EEG measures. Using a simple feature selection algorithm based on area-under-the-curve maximization and a support vector machine classifier, the proposed parameters resulted in accuracy gains, relative to spectral peak parameters, of 21.3% when discriminating between the three groups and by 50% when mild and moderate-to-severe groups were merged into one. The preliminary findings reported herein provide promising insights that automated tools may be developed to assist physicians in very early diagnosis of AD as well as provide researchers with a tool to automatically characterize cross-frequency interactions and their changes with disease.

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Section: Introductionmentioning

confidence: 99%

EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer’s disease

Falk

Fraga

Trambaiolli

et al. 2012

EURASIP J. Adv. Signal Process.

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“…Compared to fMRI, NIRS provides the advantages of being less restrictive (natural sitting posture without head fi xation, narrow environment and noise), less expensive, less sensitive to motion artifacts and highly accepted by participants. Therefore it is optimally suited for claustrophobic or elder participants (Herrmann et al 2008;Zeller et al 2010), psychiatric patients (Fallgatter et al 1997(Fallgatter et al , 2004Kubota et al 2005;Kameyama et al 2006;Schecklmann et al 2007Schecklmann et al , 2008b and children (Dresler et al 2009). The method has proven to be highly reliable (Plichta et al 2006Schecklmann et al 2008a); however, it comes at the cost of only being able to measure cortical structures.…”

Section: Samplementioning

confidence: 99%

Recovery of cortical functioning in abstinent alcohol-dependent patients: Prefrontal brain oxygenation during verbal fluency at different phases during withdrawal

Dresler

Schecklmann

Ernst

et al. 2011

The World Journal of Biological Psychiatry

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“…In our evoked stimulus experiment, relatively large signals such as the HbO 2 overperfusion were qualitatively the same regardless of using assumed or SFDI-informed DPFs. We replicated the attenuated overperfusion response that has been well characterized with laser speckle imaging in a CAA mouse model, 16 NIR spectroscopy measurements in AD patients, 11,12 and fMRI blood-oxygen-level dependent (BOLD) response in a rat model of AD. 57 The fMRI BOLD response has also been shown to be sensitive to loss of clinically significant tasks in patients with AD, such as face recognition 58 and stepwise loss of smell with worsening AD.…”

Section: Discussionmentioning

confidence: 55%

“…1 An association between AD and reduced vascular reactivity, a physiological consequence of CAA, was demonstrated with transcranial Doppler, [4][5][6] functional magnetic resonance imaging (fMRI), 7,8 positron emission tomography (PET), 9 and single-photon emission computed tomography (SPECT) 10 techniques. Neurovascular coupling (NVC), the localized vasodilation that occurs from a specific metabolic demand, is also reduced in AD with visual 11 and verbal fluency 12 challenges. Therefore, accurate development of imaging biomarkers sensitive to vascular reactivity and NVC is of great interest for early detection of AD.…”

Section: Introductionmentioning

confidence: 99%

Differential pathlength factor informs evoked stimulus response in a mouse model of Alzheimer’s disease

et al. 2015

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Abstract. Baseline optical properties are typically assumed in calculating the differential pathlength factor (DPF) of mouse brains, a value used in the modified Beer-Lambert law to characterize an evoked stimulus response. We used spatial frequency domain imaging to measure in vivo baseline optical properties in 20-month-old control (n ¼ 8) and triple transgenic APP/PS1/tau (3xTg-AD) (n ¼ 5) mouse brains. Average μ a for control and 3xTg-AD mice was 0.82 AE 0.05 and 0.65 AE 0.05 mm −1 , respectively, at 460 nm; and 0.71 AE 0.04 and 0.55 AE 0.04 mm −1 , respectively, at 530 nm. Average μ 0 s for control and 3xTg-AD mice was 1.5 AE 0.1 and 1.7 AE 0.1 mm −1 , respectively, at 460 nm; and 1.3 AE 0.1 and 1.5 AE 0.1 mm −1 , respectively, at 530 nm. The calculated DPF for control and 3xTg-AD mice was 0.58 AE 0.04 and 0.64 AE 0.04 OD mm, respectively, at 460 nm; and 0.66 AE 0.03 and 0.73 AE 0.05 OD mm, respectively, at 530 nm. In hindpaw stimulation experiments, the hemodynamic increase in brain tissue concentration of oxyhemoglobin was threefold larger and two times longer in the control mice compared to 3xTg-AD mice. Furthermore, the washout of deoxyhemoglobin from increased brain perfusion was seven times larger in controls compared to 3xTg-AD mice (p < 0.05).

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Altered Parietal Brain Oxygenation in Alzheimer's Disease as Assessed With Near-Infrared Spectroscopy

Cited by 49 publications

References 36 publications

EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer’s disease

EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer’s disease

Recovery of cortical functioning in abstinent alcohol-dependent patients: Prefrontal brain oxygenation during verbal fluency at different phases during withdrawal

Differential pathlength factor informs evoked stimulus response in a mouse model of Alzheimer’s disease

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