Abstract
This study investigated the ability of magnetic resonance spectroscopy ( 1 H-MRS) of posterior cingulate cortex (PCC) and brain volumetry to predict the progression from mild cognitive impairment (MCI) to Alzheimer's Disease (AD) on the basis of clinical classification at 2 years follow-up. Thirty-eight MCI patients, eighteen healthy older adults and twenty-three AD patients were included in this study. All participants underwent a brain-MR protocol (1.5 T GE scanner) including high-resolution T1-weighted volumetric sequence (isotropic 1mm 3 ). Voxel-wise differences in brain volumetry were evaluated using FreeSurfer software and all volumes were normalized by the total intracranial volume (TIV). Careful localization of 1 H-MRS volume of PCC was performed and data were processed with the LCModel program. MCI patients underwent a complete neuropsychological assessment at baseline and were clinically re-evaluated after a mean of 28 months; twenty-six MCI patients (68.4%) converted to AD and twelve remained stable. At baseline these two MCI subgroups did not differ in the global cognitive level (Mini Mental State Examination, MMSE) or in any of the other cognitive domains; the NAA/ mI ratio in the PCC was able to differentiate MCI converters from those MCI that did not develop AD (p = 0.022) with a level of accuracy (AUC area) of 0.779. A significantly reduced volume of parahippocampal gyrus (p = 0.010) and fusiform gyrus (p = 0.026) were found in the converter MCI subgroup compared to the stable MCI subgroup. The combined use of both N- acetyl-aspartate (NAA)/myo-Inositol (mI) ratio and volume of parahippocampal gyrus, increases the overall accuracy (AUC = 0.910) in predicting the conversion to AD two years before the development of clinical symptoms. Additional longitudinal studies with a broader representative sample of MCI patients and longer follow-up might be helpful to confirm these results and to elucidate the role of each parameter in predicting the possible progression to AD, and also to all the other non-AD dementia subtypes.
| Original language | English |
|---|---|
| Article number | 101843 |
| Journal | NeuroImage: Clinical |
| Volume | 23 |
| DOIs | |
| Publication status | Published - 2019 |
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Keywords
- H-MRS
- Alzheimer's disease
- Mild cognitive impairment
- MRI
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Neurology
- Clinical Neurology
- Cognitive Neuroscience
Cite this
Predicting conversion from mild cognitive impairment to Alzheimer's disease using brain 1 H-MRS and volumetric changes : A two- year retrospective follow-up study. / Mitolo, Micaela; Stanzani-Maserati, Michelangelo; Capellari, Sabina; Testa, Claudia; Rucci, Paola; Poda, Roberto; Oppi, Federico; Gallassi, Roberto; Sambati, Luisa; Rizzo, Giovanni; Parchi, Piero; Evangelisti, Stefania; Talozzi, Lia; Tonon, Caterina; Lodi, Raffaele; Liguori, Rocco.
In: NeuroImage: Clinical, Vol. 23, 101843, 2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predicting conversion from mild cognitive impairment to Alzheimer's disease using brain 1 H-MRS and volumetric changes
T2 - A two- year retrospective follow-up study
AU - Mitolo, Micaela
AU - Stanzani-Maserati, Michelangelo
AU - Capellari, Sabina
AU - Testa, Claudia
AU - Rucci, Paola
AU - Poda, Roberto
AU - Oppi, Federico
AU - Gallassi, Roberto
AU - Sambati, Luisa
AU - Rizzo, Giovanni
AU - Parchi, Piero
AU - Evangelisti, Stefania
AU - Talozzi, Lia
AU - Tonon, Caterina
AU - Lodi, Raffaele
AU - Liguori, Rocco
N1 - Ricercatori distaccati presso IRCCS a seguito Convenzione esclusiva con Università di Bologna (Capellari Sabina, Rizzo Giovanni, Parchi Piero, Tonon Caterina, Liguori Rocco)
PY - 2019
Y1 - 2019
N2 - This study investigated the ability of magnetic resonance spectroscopy ( 1 H-MRS) of posterior cingulate cortex (PCC) and brain volumetry to predict the progression from mild cognitive impairment (MCI) to Alzheimer's Disease (AD) on the basis of clinical classification at 2 years follow-up. Thirty-eight MCI patients, eighteen healthy older adults and twenty-three AD patients were included in this study. All participants underwent a brain-MR protocol (1.5 T GE scanner) including high-resolution T1-weighted volumetric sequence (isotropic 1mm 3 ). Voxel-wise differences in brain volumetry were evaluated using FreeSurfer software and all volumes were normalized by the total intracranial volume (TIV). Careful localization of 1 H-MRS volume of PCC was performed and data were processed with the LCModel program. MCI patients underwent a complete neuropsychological assessment at baseline and were clinically re-evaluated after a mean of 28 months; twenty-six MCI patients (68.4%) converted to AD and twelve remained stable. At baseline these two MCI subgroups did not differ in the global cognitive level (Mini Mental State Examination, MMSE) or in any of the other cognitive domains; the NAA/ mI ratio in the PCC was able to differentiate MCI converters from those MCI that did not develop AD (p = 0.022) with a level of accuracy (AUC area) of 0.779. A significantly reduced volume of parahippocampal gyrus (p = 0.010) and fusiform gyrus (p = 0.026) were found in the converter MCI subgroup compared to the stable MCI subgroup. The combined use of both N- acetyl-aspartate (NAA)/myo-Inositol (mI) ratio and volume of parahippocampal gyrus, increases the overall accuracy (AUC = 0.910) in predicting the conversion to AD two years before the development of clinical symptoms. Additional longitudinal studies with a broader representative sample of MCI patients and longer follow-up might be helpful to confirm these results and to elucidate the role of each parameter in predicting the possible progression to AD, and also to all the other non-AD dementia subtypes.
AB - This study investigated the ability of magnetic resonance spectroscopy ( 1 H-MRS) of posterior cingulate cortex (PCC) and brain volumetry to predict the progression from mild cognitive impairment (MCI) to Alzheimer's Disease (AD) on the basis of clinical classification at 2 years follow-up. Thirty-eight MCI patients, eighteen healthy older adults and twenty-three AD patients were included in this study. All participants underwent a brain-MR protocol (1.5 T GE scanner) including high-resolution T1-weighted volumetric sequence (isotropic 1mm 3 ). Voxel-wise differences in brain volumetry were evaluated using FreeSurfer software and all volumes were normalized by the total intracranial volume (TIV). Careful localization of 1 H-MRS volume of PCC was performed and data were processed with the LCModel program. MCI patients underwent a complete neuropsychological assessment at baseline and were clinically re-evaluated after a mean of 28 months; twenty-six MCI patients (68.4%) converted to AD and twelve remained stable. At baseline these two MCI subgroups did not differ in the global cognitive level (Mini Mental State Examination, MMSE) or in any of the other cognitive domains; the NAA/ mI ratio in the PCC was able to differentiate MCI converters from those MCI that did not develop AD (p = 0.022) with a level of accuracy (AUC area) of 0.779. A significantly reduced volume of parahippocampal gyrus (p = 0.010) and fusiform gyrus (p = 0.026) were found in the converter MCI subgroup compared to the stable MCI subgroup. The combined use of both N- acetyl-aspartate (NAA)/myo-Inositol (mI) ratio and volume of parahippocampal gyrus, increases the overall accuracy (AUC = 0.910) in predicting the conversion to AD two years before the development of clinical symptoms. Additional longitudinal studies with a broader representative sample of MCI patients and longer follow-up might be helpful to confirm these results and to elucidate the role of each parameter in predicting the possible progression to AD, and also to all the other non-AD dementia subtypes.
KW - H-MRS
KW - Alzheimer's disease
KW - Mild cognitive impairment
KW - MRI
UR - http://www.scopus.com/inward/record.url?scp=85065021798&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065021798&partnerID=8YFLogxK
U2 - 10.1016/j.nicl.2019.101843
DO - 10.1016/j.nicl.2019.101843
M3 - Article
C2 - 31071594
AN - SCOPUS:85065021798
VL - 23
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
SN - 2213-1582
M1 - 101843
ER -