- Email: [email protected]
Middle-aged adults with subjective memory complaints: Clinical and brain structural features
Poster Presentations: IC-P Table 5 Brain Areas Showing Hypermetabolism in Individuals who Reported Memory Problems Compared to Their Age-peers vs. Those Who Denied MNICoordinates (mm) Brain Regions BA x L. Precuneus 19 R. Cuneus 18 L. Cuneus 17 L. Declive R. Inferior Semi-Lunar Lobule L. Precentral 6 Gyrus
y
Extent Voxels T Z p value (N) value score (uncorrected)
z
-42 -82 40 59 8 -100 12 279 -6 -100 -6 232 -20 -74 -18 56 24 -88 -48 24
3.99 3.79 3.72 3.59 3.48
3.77 3.6 3.53 3.43 3.33
<0.001 <0.001 <0.001 <0.001 <0.001
-38
3.41
3.27
<0.001
-8
40
24
Table 6 Brain Areas Showing Hypometabolism in Individuals who Reported Memory Problems Compared to Their Age-peers vs. Those Who Denied MNICoordinates (mm) y
z
Extent Voxels T Z p value (N) value score (uncorrected)
Brain Regions
BA x
L. Claustrum L. Superior Temporal Gyrus L. Medial Frontal Gyrus R. Parahippocampal Gyrus R. Insula
-26 38 -40
26 4 134 10 -32 56
4.25 3.99 <0.001 3.65 3.48 <0.001
11
-8
26 -12
24
3.63 3.45 <0.001
35
26 -14 -32
74
3.61 3.44 <0.001
13
46 -18
24
3.5
24
3.34 <0.001
hypometabolism in the fronto-temporal regions, parahippocampal gyrus and insula. Conclusions: The current findings indicate that severity of SMC is related to underlying alterations in specific regional cerebral glucose metabolism. The patterns of hyper- and hypometabolism associated with increased SMC may reflect increased compensatory mechanisms of the posterior brain regions and decreased fronto-temporal functions in very early degenerative changes.
IC-P-103
MIDDLE-AGED ADULTS WITH SUBJECTIVE MEMORY COMPLAINTS: CLINICAL AND BRAIN STRUCTURAL FEATURES
Elena Rolandi1, Enrica Cavedo1,2,3,4,5, Giovanni Battista Frisoni6,7, Samantha Galluzzi1, 1IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy; 2INSERM U1127, Institut du Cerveau et de la Moelle Epiniere (ICM), Paris, France; 3CATI Multicenter Neuroimaging Platform, Paris, France; 4Institut de la Memoire et de la Maladie d’Alzheimer (IM2A), H^opital de la Pitie-Salp^etriere, AP-HP, Paris, France; 5Sorbonne Universites, Universite Pierre et Marie Curie-Paris 6, Paris, France; 6University Hospitals, Geneva, Switzerland; 7IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Contact e-mail: [email protected] Background: In recent years Subjective Memory Complaints (SMC) in elderly has been investigated as a potential risk factor for cognitive decline. Aim of the present study is to compare socio-demo-
P71
graphic, clinical, neuropsychological and brain structural features of middle-aged cognitive intact individuals with and without memory complaints. Methods: 134 middle-aged cognitive intact individuals (49.265.6 years, MMSE 29.1) underwent clinical, neuropsychological evaluation and T1-weighted volumetric MRI. Subjects were considered SMC+ if they believed to have some memory disturbances (yes/no question). MRI images were pre-processed using DARTEL tool in SPM8 to perform Voxel-Based Morphometry analysis. Whole brain gray matter volumes differences between groups were computed using an analysis of variance model with age, gender, education and depressive symptoms as covariates, after correction for total intracranial volume. Comparison of clinical data between groups were performed using independent sample t-test or chi-square test when appropriate. Results: SMC+ (N¼78) compared to SMC- (N¼56) were more female (68% vs 37% p<0.001), had lower education (10.064.0 vs 12.363.9 p¼0.001) and showed more depressive symptoms at Brief Symptoms Inventory (1.0 6 0.8 vs 0.7 6 0.5 p¼0.001). No significant differences in vascular and genetic (Apolipoprotein E4 allele) risk factors and neuropsychological performance were found between groups. SMC+ show significant lower gray matter volumes than SMC- in caudate nuclei and right superior medial frontal gyrus (FWE correction, p<0.05). SMC- did not show any voxel with significantly reduced grey matter density. Conclusions: This is the first study aimed to characterize early subjective memory complainers (age between 40 and 60 years). Follow-up studies should clarify whether structural differences found between groups are normal inter-individual genetically-based features or pathological abnormalities predisposing to the development of Alzheimer’s disease.
IC-P-104
STRUCTURAL MRI AND AMYLOID PET IMAGING FOR PREDICTION OF CONVERSION TO ALZHEIMER’S DISEASE IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT: A METAANALYSIS
Woon Yeong Park1, Sang Hoon Kim2,3, Sang Hag Park2,3, Seung Gon Kim2,3, Shin Young Park4, Eun Hyun Seo5, IL Han Choo1,6, 1 National Research Center for Dementia, Chosun University, Gwangju, South Korea; 2Chosun University, Gwangju, South Korea; 3Chosun University Hospital, Gwangju, South Korea; 4Daerim Saint Mary’s Hospital, Seoul, South Korea; 5College of Health Science, Chosun University, Gwangju, South Korea; 6School of Medicine, Chosun University/Chosun University Hospital, Gwangju, South Korea. Contact e-mail: [email protected] Background: The recently suggested criterion for the diagnosis of
Alzheimer’s disease (AD) includes at least one abnormal biomarker of neurodegeneration and brain amyloidosis such as magnetic resonance imaging (MRI), positron emission tomography (PET) and cerebrospinal fluid (CSF). The aim of this study is to perform a metaanalysis to compare the prognostic values of biomarker of neurodegeneration (MRI) and amyloid pathology (amyloid PET imaging) for prediction of conversion to AD in subjects with MCI. Methods: PubMed and Embase databases between January 2000 and July 2014 were searched for studies reporting structural MRI or amyloid PET imaging at baseline and conversion from MCI to AD at followup. We selected studies that had prospectively defined cohorts of MCI and the studies that applied a reference standard for AD for NINCDS-ADRDA or Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria. The methodological quality of each study was assessed by QUADAS-2 tool. Means and standard
y
Extent Voxels T Z p value (N) value score (uncorrected)
z
-42 -82 40 59 8 -100 12 279 -6 -100 -6 232 -20 -74 -18 56 24 -88 -48 24
3.99 3.79 3.72 3.59 3.48
3.77 3.6 3.53 3.43 3.33
<0.001 <0.001 <0.001 <0.001 <0.001
-38
3.41
3.27
<0.001
-8
40
24
Table 6 Brain Areas Showing Hypometabolism in Individuals who Reported Memory Problems Compared to Their Age-peers vs. Those Who Denied MNICoordinates (mm) y
z
Extent Voxels T Z p value (N) value score (uncorrected)
Brain Regions
BA x
L. Claustrum L. Superior Temporal Gyrus L. Medial Frontal Gyrus R. Parahippocampal Gyrus R. Insula
-26 38 -40
26 4 134 10 -32 56
4.25 3.99 <0.001 3.65 3.48 <0.001
11
-8
26 -12
24
3.63 3.45 <0.001
35
26 -14 -32
74
3.61 3.44 <0.001
13
46 -18
24
3.5
24
3.34 <0.001
hypometabolism in the fronto-temporal regions, parahippocampal gyrus and insula. Conclusions: The current findings indicate that severity of SMC is related to underlying alterations in specific regional cerebral glucose metabolism. The patterns of hyper- and hypometabolism associated with increased SMC may reflect increased compensatory mechanisms of the posterior brain regions and decreased fronto-temporal functions in very early degenerative changes.
IC-P-103
MIDDLE-AGED ADULTS WITH SUBJECTIVE MEMORY COMPLAINTS: CLINICAL AND BRAIN STRUCTURAL FEATURES
Elena Rolandi1, Enrica Cavedo1,2,3,4,5, Giovanni Battista Frisoni6,7, Samantha Galluzzi1, 1IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy; 2INSERM U1127, Institut du Cerveau et de la Moelle Epiniere (ICM), Paris, France; 3CATI Multicenter Neuroimaging Platform, Paris, France; 4Institut de la Memoire et de la Maladie d’Alzheimer (IM2A), H^opital de la Pitie-Salp^etriere, AP-HP, Paris, France; 5Sorbonne Universites, Universite Pierre et Marie Curie-Paris 6, Paris, France; 6University Hospitals, Geneva, Switzerland; 7IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Contact e-mail: [email protected] Background: In recent years Subjective Memory Complaints (SMC) in elderly has been investigated as a potential risk factor for cognitive decline. Aim of the present study is to compare socio-demo-
P71
graphic, clinical, neuropsychological and brain structural features of middle-aged cognitive intact individuals with and without memory complaints. Methods: 134 middle-aged cognitive intact individuals (49.265.6 years, MMSE 29.1) underwent clinical, neuropsychological evaluation and T1-weighted volumetric MRI. Subjects were considered SMC+ if they believed to have some memory disturbances (yes/no question). MRI images were pre-processed using DARTEL tool in SPM8 to perform Voxel-Based Morphometry analysis. Whole brain gray matter volumes differences between groups were computed using an analysis of variance model with age, gender, education and depressive symptoms as covariates, after correction for total intracranial volume. Comparison of clinical data between groups were performed using independent sample t-test or chi-square test when appropriate. Results: SMC+ (N¼78) compared to SMC- (N¼56) were more female (68% vs 37% p<0.001), had lower education (10.064.0 vs 12.363.9 p¼0.001) and showed more depressive symptoms at Brief Symptoms Inventory (1.0 6 0.8 vs 0.7 6 0.5 p¼0.001). No significant differences in vascular and genetic (Apolipoprotein E4 allele) risk factors and neuropsychological performance were found between groups. SMC+ show significant lower gray matter volumes than SMC- in caudate nuclei and right superior medial frontal gyrus (FWE correction, p<0.05). SMC- did not show any voxel with significantly reduced grey matter density. Conclusions: This is the first study aimed to characterize early subjective memory complainers (age between 40 and 60 years). Follow-up studies should clarify whether structural differences found between groups are normal inter-individual genetically-based features or pathological abnormalities predisposing to the development of Alzheimer’s disease.
IC-P-104
STRUCTURAL MRI AND AMYLOID PET IMAGING FOR PREDICTION OF CONVERSION TO ALZHEIMER’S DISEASE IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT: A METAANALYSIS
Woon Yeong Park1, Sang Hoon Kim2,3, Sang Hag Park2,3, Seung Gon Kim2,3, Shin Young Park4, Eun Hyun Seo5, IL Han Choo1,6, 1 National Research Center for Dementia, Chosun University, Gwangju, South Korea; 2Chosun University, Gwangju, South Korea; 3Chosun University Hospital, Gwangju, South Korea; 4Daerim Saint Mary’s Hospital, Seoul, South Korea; 5College of Health Science, Chosun University, Gwangju, South Korea; 6School of Medicine, Chosun University/Chosun University Hospital, Gwangju, South Korea. Contact e-mail: [email protected] Background: The recently suggested criterion for the diagnosis of
Alzheimer’s disease (AD) includes at least one abnormal biomarker of neurodegeneration and brain amyloidosis such as magnetic resonance imaging (MRI), positron emission tomography (PET) and cerebrospinal fluid (CSF). The aim of this study is to perform a metaanalysis to compare the prognostic values of biomarker of neurodegeneration (MRI) and amyloid pathology (amyloid PET imaging) for prediction of conversion to AD in subjects with MCI. Methods: PubMed and Embase databases between January 2000 and July 2014 were searched for studies reporting structural MRI or amyloid PET imaging at baseline and conversion from MCI to AD at followup. We selected studies that had prospectively defined cohorts of MCI and the studies that applied a reference standard for AD for NINCDS-ADRDA or Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria. The methodological quality of each study was assessed by QUADAS-2 tool. Means and standard