Analysis of the posterior cingulate cortex with [ 18 F]FDG-PET and Naa/mI in mild cognitive impairment and Alzheimer's disease: Correlations and differences between the two methods

Coutinho, Artur Martins; Porto, Fábio Henrique de Gobbi; Zampieri, Poliana Fonseca; Otaduy, Maria Concepción García; Perroco, Tíbor Rilho; Oliveira, Maira Okada de; Nunes, Rafael Fernandes; Pinheiro, Toulouse Leusin; Bottino, Cássio M.C.; Leite, Cláudia C.; Buchpiguel, Carlos Alberto

doi:10.1590/1980-57642015dn94000385

Cited by 13 publications

(8 citation statements)

References 45 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[ 23 36 ] Our MRS findings in AD corroborate with another study which demonstrated correlation between reduction of regional glucose metabolism measured by [18F] FDG-PET and NAA/mI by MRS in the PCC of MCI, AD, and healthy controls. [ 37 ] A lower NAA/mI for the AD group compared to controls failed to reveal statistical significance in MCI group, unlike our results. Their findings suggest that brain glucose metabolism is a surrogate marker of synaptic activity[ 38 ] which should correlate with the measures of neuronal activity and density such as NAA/mI by MRS.…”

Section: Discussioncontrasting

confidence: 99%

Multimodality neuroimaging in mild cognitive impairment: A cross-sectional comparison study

Raghavan

Sarma

Kesavadas

et al. 2018

Ann Indian Acad Neurol

View full text Add to dashboard Cite

Background and Purpose:Mild cognitive impairment (MCI) is a focus of considerable research. The present study aimed to test the utility of a logistic regression-derived classifier, combining specific quantitative multimodal magnetic resonance imaging (MRI) data for the early objective phenotyping of MCI in the clinic, over structural MRI data.Methods:Thirty-three participants with cognitively stable amnestic MCI; 15 MCI converters to early Alzheimer's disease (AD; diseased controls) and 20 healthy controls underwent high-resolution T1-weighted volumetric MRI, diffusion tensor imaging (DTI), and proton magnetic resonance spectroscopy (1H MR spectroscopy). The regional volumes were obtained from T1-weighted MRI. The fractional anisotropy and mean diffusivity maps were derived from DTI over multiple white matter regions. The 1H MRS voxels were placed over posterior cingulate gyri, and N-acetyl aspartate (NAA)/creatine (Cr), choline (Cho)/Cr, myoinositol (mI/Cr), and NAA/mI ratios were obtained. A multimodal classifier comprising MR volumetry, DTI, and MRS was prepared. A cutoff point was arrived based on receiver operator characteristics analysis. Results were considered significant, if P < 0.05.Results:The most sensitive individual marker to discriminate MCI from controls was DTI (90.9%), with a specificity of 50%. For classifying MCI from AD, the best individual modality was DTI (72.7%), with a high specificity of 87.9%. The multimodal classifier approach for MCI control classification achieved an area under curve (AUC) (AUC = 0.89; P < 0.001), with 93.9% sensitivity and 70% specificity. The combined classifier for MCI-AD achieved a highest AUC (AUC = 0.93; P < 0.001), with 93% sensitivity and 85.6% specificity.Conclusions:The combined method of gray matter atrophy, white matter tract changes, and metabolite variation achieved a better performance at classifying MCI compared to the application of individual MRI biomarkers.

show abstract

Section: Discussioncontrasting

confidence: 99%

Multimodality neuroimaging in mild cognitive impairment: A cross-sectional comparison study

Raghavan

Sarma

Kesavadas

et al. 2018

Ann Indian Acad Neurol

View full text Add to dashboard Cite

show abstract

“…These deficient brain connections could explain the cognitive signs observed in these patients and characterized by episodic memory deficits and abnormal executive and attentional functions. Hypometabolisms of the cingulate cortex have been observed in several neurological and psychiatric diseases including mild cognitive impairment due to Alzheimer’s disease, severe depression and internet gaming disorder [ 1 , 3 , 6 , 10 ]. Cortical hypometabolisms were clearly more pronounced in the first patient who experienced a more severe COVID evolution.…”

Section: Discussionmentioning

confidence: 99%

Long COVID: cognitive complaints (brain fog) and dysfunction of the cingulate cortex

Msika²,

et al. 2021

View full text Add to dashboard Cite

Many patients who have suffered from acute COVID infections have long-lasting symptoms affecting several organs including the brain. This long COVID status can include “brain fog” and cognitive deficits that can disturb activities of daily living and can delay complete recovery. Here, we report two cases of neurological long COVID with abnormal FDG PET findings marked by hypometabolic regions of the cingulate cortex.

show abstract

“…Studies using PET, SPECT, and MRI have shown that glucose metabolism in the hippocampus, glucose metabolism rate in the bilateral temporal-parietal lobe, and blood perfusion in patients with aMCI are lower than those in normal elderly. These studies have also shown that low glucose metabolism in the temporal-parietal lobe is a reliable indicator of conversion to AD [84] , [85] , [86] . Excessive deposition of β-amyloid peptide in the brain and the cascade reaction caused by it are the early onset of AD.…”

Section: Multimodal Imaging Data Fusion: Diseasesmentioning

confidence: 83%

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

et al. 2020

View full text Add to dashboard Cite

Highlights We analysed over 450 references from all well-famed databases. We provided a comprehensive survey on multimodal data fusion in neuroimaging. This review encompassed current challenges & applications, strengths &limitations. Fundamental fusion rules, and fusion quality assessment methods were reviewed. Atlas-based fusion segmentation, quantification, & applications were reviewed.

show abstract

Analysis of the posterior cingulate cortex with [ 18 F]FDG-PET and Naa/mI in mild cognitive impairment and Alzheimer's disease: Correlations and differences between the two methods

Cited by 13 publications

References 45 publications

Multimodality neuroimaging in mild cognitive impairment: A cross-sectional comparison study

Multimodality neuroimaging in mild cognitive impairment: A cross-sectional comparison study

Long COVID: cognitive complaints (brain fog) and dysfunction of the cingulate cortex

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

Contact Info

Product

Resources

About