TY - JOUR
T1 - Progressive disintegration of brain networking from normal aging to Alzheimer disease
T2 - Analysis of independent components of 18F-FDG PET data
AU - Pagani, Marco
AU - Giuliani, Alessandro
AU - Öberg, Johanna
AU - De Carli, Fabrizio
AU - Morbelli, Silvia
AU - Girtler, Nicola
AU - Arnaldi, Dario
AU - Accardo, Jennifer
AU - Bauckneht, Matteo
AU - Bongioanni, Francesca
AU - Chincarini, Andrea
AU - Sambuceti, Gianmario
AU - Jonsson, Cathrine
AU - Nobili, Flavio
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Brain connectivity has been assessed in several neurodegenerative disorders investigating the mutual correlations between predetermined regions or nodes. Selective breakdown of brain networks during progression from normal aging to Alzheimer disease dementia (AD) has also been observed. Methods: We implemented independentcomponent analysis of 18F-FDG PET data in 5 groups of subjects with cognitive states ranging from normal aging to AD-including mild cognitive impairment (MCI) not converting or converting to AD- to disclose the spatial distribution of the independent components in each cognitive state and their accuracy in discriminating the groups. Results: We could identify spatially distinct independent components in each group, with generation of local circuits increasing proportionally to the severity of the disease. AD-specific independent components first appeared in the late-MCI stage and could discriminate converting MCI and AD from nonconverting MCI with an accuracy of 83.5%. Progressive disintegration of the intrinsic networks from normal aging to MCI to AD was inversely proportional to the conversion time. Conclusion: Independent-component analysis of 18F-FDG PET data showed a gradual disruption of functional brain connectivity with progression of cognitive decline in AD. This information might be useful as a prognostic aid for individual patients and as a surrogate biomarker in intervention trials.
AB - Brain connectivity has been assessed in several neurodegenerative disorders investigating the mutual correlations between predetermined regions or nodes. Selective breakdown of brain networks during progression from normal aging to Alzheimer disease dementia (AD) has also been observed. Methods: We implemented independentcomponent analysis of 18F-FDG PET data in 5 groups of subjects with cognitive states ranging from normal aging to AD-including mild cognitive impairment (MCI) not converting or converting to AD- to disclose the spatial distribution of the independent components in each cognitive state and their accuracy in discriminating the groups. Results: We could identify spatially distinct independent components in each group, with generation of local circuits increasing proportionally to the severity of the disease. AD-specific independent components first appeared in the late-MCI stage and could discriminate converting MCI and AD from nonconverting MCI with an accuracy of 83.5%. Progressive disintegration of the intrinsic networks from normal aging to MCI to AD was inversely proportional to the conversion time. Conclusion: Independent-component analysis of 18F-FDG PET data showed a gradual disruption of functional brain connectivity with progression of cognitive decline in AD. This information might be useful as a prognostic aid for individual patients and as a surrogate biomarker in intervention trials.
KW - F-FDG PET
KW - Alzheimer disease
KW - Independent-component analysis
KW - Mild cognitive impairment
KW - Normal aging
UR - http://www.scopus.com/inward/record.url?scp=85021797914&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021797914&partnerID=8YFLogxK
U2 - 10.2967/jnumed.116.184309
DO - 10.2967/jnumed.116.184309
M3 - Article
C2 - 28280223
AN - SCOPUS:85021797914
SN - 0161-5505
VL - 58
SP - 1132
EP - 1139
JO - Journal of Nuclear Medicine
JF - Journal of Nuclear Medicine
IS - 7
ER -