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Erschienen in: European Radiology 12/2013

01.12.2013 | Neuro

Neuroimaging of dementia in 2013: what radiologists need to know

verfasst von: Sven Haller, Valentina Garibotto, Enikö Kövari, Constantin Bouras, Aikaterini Xekardaki, Cristelle Rodriguez, Maciej Jakub Lazarczyk, Panteleimon Giannakopoulos, Karl-Olof Lovblad

Erschienen in: European Radiology | Ausgabe 12/2013

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Abstract

The structural and functional neuroimaging of dementia have substantially evolved over the last few years. The most common forms of dementia, Alzheimer disease (AD), Lewy body dementia (LBD) and fronto-temporal lobar degeneration (FTLD), have distinct patterns of cortical atrophy and hypometabolism that evolve over time, as reviewed in the first part of this article. The second part discusses unspecific white matter alterations on T2-weighted and fluid-attenuated inversion recovery (FLAIR) images as well as cerebral microbleeds, which often occur during normal aging and may affect cognition. The third part summarises molecular neuroimaging biomarkers recently developed to visualise amyloid deposits, tau protein deposits and neurotransmitter systems. The fourth section reviews the utility of advanced image analysis techniques as predictive biomarkers of cognitive decline in individuals with early symptoms compatible with mild cognitive impairment (MCI). As only about half of MCI cases will progress to clinically overt dementia, whereas the other half remain stable or might even improve, the discrimination of stable versus progressive MCI is of paramount importance for both individual patient treatment and patient selection for clinical trials. The fifth and final part discusses the inter-individual variation in the neurocognitive reserve, which is a potential constraint for all proposed methods.
Key Points
• Many forms of dementia have spatial atrophy patterns detectable on neuroimaging.
• Early treatment of dementia is beneficial, indicating the need for early diagnosis.
• Advanced image analysis techniques detect subtle anomalies invisible on radiological evaluation.
• Inter-individual variation explains variable cognitive impairment despite the same degree of atrophy.
Literatur
1.
Zurück zum Zitat Lazarczyk MJ, Hof PR, Bouras C et al (2012) Preclinical Alzheimer disease: identification of cases at risk among cognitively intact older individuals. BMC Med 10:127PubMedCrossRef Lazarczyk MJ, Hof PR, Bouras C et al (2012) Preclinical Alzheimer disease: identification of cases at risk among cognitively intact older individuals. BMC Med 10:127PubMedCrossRef
2.
Zurück zum Zitat Chetelat G, Desgranges B, Landeau B et al (2008) Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease. Brain 131:60–71PubMedCrossRef Chetelat G, Desgranges B, Landeau B et al (2008) Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease. Brain 131:60–71PubMedCrossRef
3.
Zurück zum Zitat Lim SM, Katsifis A, Villemagne VL et al (2009) The 18F-FDG PET cingulate island sign and comparison to 123I-beta-CIT SPECT for diagnosis of dementia with Lewy bodies. J Nucl Med 50:1638–1645PubMedCrossRef Lim SM, Katsifis A, Villemagne VL et al (2009) The 18F-FDG PET cingulate island sign and comparison to 123I-beta-CIT SPECT for diagnosis of dementia with Lewy bodies. J Nucl Med 50:1638–1645PubMedCrossRef
4.
Zurück zum Zitat McKeith I, O'Brien J, Walker Z et al (2007) Sensitivity and specificity of dopamine transporter imaging with 123I-FP-CIT SPECT in dementia with Lewy bodies: a phase III, multicentre study. Lancet Neurol 6:305–313PubMedCrossRef McKeith I, O'Brien J, Walker Z et al (2007) Sensitivity and specificity of dopamine transporter imaging with 123I-FP-CIT SPECT in dementia with Lewy bodies: a phase III, multicentre study. Lancet Neurol 6:305–313PubMedCrossRef
5.
Zurück zum Zitat Rohrer JD (2012) Structural brain imaging in frontotemporal dementia. Biochim Biophys Acta 1822:325–332PubMedCrossRef Rohrer JD (2012) Structural brain imaging in frontotemporal dementia. Biochim Biophys Acta 1822:325–332PubMedCrossRef
6.
Zurück zum Zitat Gorno-Tempini ML, Dronkers NF, Rankin KP et al (2004) Cognition and anatomy in three variants of primary progressive aphasia. Ann Neurol 55:335–346PubMedCrossRef Gorno-Tempini ML, Dronkers NF, Rankin KP et al (2004) Cognition and anatomy in three variants of primary progressive aphasia. Ann Neurol 55:335–346PubMedCrossRef
7.
Zurück zum Zitat Gorno-Tempini ML, Hillis AE, Weintraub S et al (2011) Classification of primary progressive aphasia and its variants. Neurology 76:1006–1014PubMedCrossRef Gorno-Tempini ML, Hillis AE, Weintraub S et al (2011) Classification of primary progressive aphasia and its variants. Neurology 76:1006–1014PubMedCrossRef
8.
Zurück zum Zitat Rohrer JD, Ridgway GR, Crutch SJ et al (2010) Progressive logopenic/phonological aphasia: erosion of the language network. NeuroImage 49:984–993PubMedCrossRef Rohrer JD, Ridgway GR, Crutch SJ et al (2010) Progressive logopenic/phonological aphasia: erosion of the language network. NeuroImage 49:984–993PubMedCrossRef
9.
Zurück zum Zitat Rabinovici GD, Jagust WJ, Furst AJ et al (2008) Abeta amyloid and glucose metabolism in three variants of primary progressive aphasia. Ann Neurol 64:388–401PubMedCrossRef Rabinovici GD, Jagust WJ, Furst AJ et al (2008) Abeta amyloid and glucose metabolism in three variants of primary progressive aphasia. Ann Neurol 64:388–401PubMedCrossRef
10.
Zurück zum Zitat Lindberg O, Ostberg P, Zandbelt BB et al (2009) Cortical morphometric subclassification of frontotemporal lobar degeneration. AJNR Am J Neuroradiol 30:1233–1239PubMedCrossRef Lindberg O, Ostberg P, Zandbelt BB et al (2009) Cortical morphometric subclassification of frontotemporal lobar degeneration. AJNR Am J Neuroradiol 30:1233–1239PubMedCrossRef
11.
Zurück zum Zitat Groschel K, Kastrup A, Litvan I et al (2006) Penguins and hummingbirds: midbrain atrophy in progressive supranuclear palsy. Neurology 66:949–950PubMedCrossRef Groschel K, Kastrup A, Litvan I et al (2006) Penguins and hummingbirds: midbrain atrophy in progressive supranuclear palsy. Neurology 66:949–950PubMedCrossRef
12.
Zurück zum Zitat Quattrone A, Nicoletti G, Messina D et al (2008) MR imaging index for differentiation of progressive supranuclear palsy from Parkinson disease and the Parkinson variant of multiple system atrophy. Radiology 246:214–221PubMedCrossRef Quattrone A, Nicoletti G, Messina D et al (2008) MR imaging index for differentiation of progressive supranuclear palsy from Parkinson disease and the Parkinson variant of multiple system atrophy. Radiology 246:214–221PubMedCrossRef
13.
Zurück zum Zitat Hayflick SJ, Hartman M, Coryell J et al (2006) Brain MRI in neurodegeneration with brain iron accumulation with and without PANK2 mutations. AJNR Am J Neuroradiol 27:1230–1233PubMed Hayflick SJ, Hartman M, Coryell J et al (2006) Brain MRI in neurodegeneration with brain iron accumulation with and without PANK2 mutations. AJNR Am J Neuroradiol 27:1230–1233PubMed
14.
Zurück zum Zitat Garde E, Mortensen EL, Krabbe K et al (2000) Relation between age-related decline in intelligence and cerebral white-matter hyperintensities in healthy octogenarians: a longitudinal study. Lancet 356:628–634PubMedCrossRef Garde E, Mortensen EL, Krabbe K et al (2000) Relation between age-related decline in intelligence and cerebral white-matter hyperintensities in healthy octogenarians: a longitudinal study. Lancet 356:628–634PubMedCrossRef
15.
Zurück zum Zitat Ylikoski A, Erkinjuntti T, Raininko R et al (1995) White matter hyperintensities on MRI in the neurologically nondiseased elderly. Analysis of cohorts of consecutive subjects aged 55 to 85 years living at home. Stroke 26:1171–1177PubMedCrossRef Ylikoski A, Erkinjuntti T, Raininko R et al (1995) White matter hyperintensities on MRI in the neurologically nondiseased elderly. Analysis of cohorts of consecutive subjects aged 55 to 85 years living at home. Stroke 26:1171–1177PubMedCrossRef
16.
Zurück zum Zitat Debette S, Markus HS (2010) The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 341:c3666PubMedCrossRef Debette S, Markus HS (2010) The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 341:c3666PubMedCrossRef
17.
Zurück zum Zitat Inzitari D, Simoni M, Pracucci G et al (2007) Risk of rapid global functional decline in elderly patients with severe cerebral age-related white matter changes: the LADIS study. Arch Intern Med 167:81–88PubMedCrossRef Inzitari D, Simoni M, Pracucci G et al (2007) Risk of rapid global functional decline in elderly patients with severe cerebral age-related white matter changes: the LADIS study. Arch Intern Med 167:81–88PubMedCrossRef
18.
Zurück zum Zitat Murray AD, Staff RT, McNeil CJ et al (2011) The balance between cognitive reserve and brain imaging biomarkers of cerebrovascular and Alzheimer's diseases. Brain 134:3687–3696PubMedCrossRef Murray AD, Staff RT, McNeil CJ et al (2011) The balance between cognitive reserve and brain imaging biomarkers of cerebrovascular and Alzheimer's diseases. Brain 134:3687–3696PubMedCrossRef
19.
Zurück zum Zitat Young VG, Halliday GM, Kril JJ (2008) Neuropathologic correlates of white matter hyperintensities. Neurology 71:804–811PubMedCrossRef Young VG, Halliday GM, Kril JJ (2008) Neuropathologic correlates of white matter hyperintensities. Neurology 71:804–811PubMedCrossRef
20.
Zurück zum Zitat Gouw AA, Seewann A, van der Flier WM et al (2011) Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations. J Neurol Neurosurg Psychiatry 82:126–135PubMedCrossRef Gouw AA, Seewann A, van der Flier WM et al (2011) Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations. J Neurol Neurosurg Psychiatry 82:126–135PubMedCrossRef
21.
22.
Zurück zum Zitat Fazekas F, Kleinert R, Offenbacher H et al (1993) Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 43:1683–1689PubMedCrossRef Fazekas F, Kleinert R, Offenbacher H et al (1993) Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 43:1683–1689PubMedCrossRef
23.
Zurück zum Zitat Grafton ST, Sumi SM, Stimac GK et al (1991) Comparison of postmortem magnetic resonance imaging and neuropathologic findings in the cerebral white matter. Arch Neurol 48:293–298PubMedCrossRef Grafton ST, Sumi SM, Stimac GK et al (1991) Comparison of postmortem magnetic resonance imaging and neuropathologic findings in the cerebral white matter. Arch Neurol 48:293–298PubMedCrossRef
24.
Zurück zum Zitat van Swieten JC, van den Hout JH, van Ketel BA et al (1991) Periventricular lesions in the white matter on magnetic resonance imaging in the elderly. A morphometric correlation with arteriolosclerosis and dilated perivascular spaces. Brain 114:761–774PubMedCrossRef van Swieten JC, van den Hout JH, van Ketel BA et al (1991) Periventricular lesions in the white matter on magnetic resonance imaging in the elderly. A morphometric correlation with arteriolosclerosis and dilated perivascular spaces. Brain 114:761–774PubMedCrossRef
25.
Zurück zum Zitat Haller S, Kovari E, Herrmann FR et al (2013) Do brain T2/FLAIR white matter hyperintensities correspond to myelin loss in normal aging? A radiologic-neuropathologic correlation study. Acta Neuropathologica Commun 1:14CrossRef Haller S, Kovari E, Herrmann FR et al (2013) Do brain T2/FLAIR white matter hyperintensities correspond to myelin loss in normal aging? A radiologic-neuropathologic correlation study. Acta Neuropathologica Commun 1:14CrossRef
26.
Zurück zum Zitat Topakian R, Barrick TR, Howe FA et al (2010) Blood-brain barrier permeability is increased in normal-appearing white matter in patients with lacunar stroke and leucoaraiosis. J Neurol Neurosurg Psychiatry 81:192–197PubMedCrossRef Topakian R, Barrick TR, Howe FA et al (2010) Blood-brain barrier permeability is increased in normal-appearing white matter in patients with lacunar stroke and leucoaraiosis. J Neurol Neurosurg Psychiatry 81:192–197PubMedCrossRef
27.
Zurück zum Zitat de Groot JC, de Leeuw FE, Oudkerk M et al (2000) Cerebral white matter lesions and depressive symptoms in elderly adults. Arch Gen Psychiatry 57:1071–1076PubMedCrossRef de Groot JC, de Leeuw FE, Oudkerk M et al (2000) Cerebral white matter lesions and depressive symptoms in elderly adults. Arch Gen Psychiatry 57:1071–1076PubMedCrossRef
28.
Zurück zum Zitat Greenberg SM, Vernooij MW, Cordonnier C et al (2009) Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol 8:165–174PubMedCrossRef Greenberg SM, Vernooij MW, Cordonnier C et al (2009) Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol 8:165–174PubMedCrossRef
29.
Zurück zum Zitat Goos JD, van der Flier WM, Knol DL et al (2011) Clinical relevance of improved microbleed detection by susceptibility-weighted magnetic resonance imaging. Stroke 42:1894–1900PubMedCrossRef Goos JD, van der Flier WM, Knol DL et al (2011) Clinical relevance of improved microbleed detection by susceptibility-weighted magnetic resonance imaging. Stroke 42:1894–1900PubMedCrossRef
30.
Zurück zum Zitat Cordonnier C, van der Flier WM, Sluimer JD et al (2006) Prevalence and severity of microbleeds in a memory clinic setting. Neurology 66:1356–1360PubMedCrossRef Cordonnier C, van der Flier WM, Sluimer JD et al (2006) Prevalence and severity of microbleeds in a memory clinic setting. Neurology 66:1356–1360PubMedCrossRef
31.
Zurück zum Zitat Cordonnier C, Al-Shahi Salman R, Wardlaw J (2007) Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting. Brain 130:1988–2003PubMedCrossRef Cordonnier C, Al-Shahi Salman R, Wardlaw J (2007) Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting. Brain 130:1988–2003PubMedCrossRef
32.
Zurück zum Zitat Nandigam RN, Viswanathan A, Delgado P et al (2009) MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength. AJNR Am J Neuroradiol 30:338–343PubMedCrossRef Nandigam RN, Viswanathan A, Delgado P et al (2009) MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength. AJNR Am J Neuroradiol 30:338–343PubMedCrossRef
33.
Zurück zum Zitat Ayaz M, Boikov AS, Haacke EM et al (2010) Imaging cerebral microbleeds using susceptibility weighted imaging: one step toward detecting vascular dementia. J Magn Reson Imaging 31:142–148PubMedCrossRef Ayaz M, Boikov AS, Haacke EM et al (2010) Imaging cerebral microbleeds using susceptibility weighted imaging: one step toward detecting vascular dementia. J Magn Reson Imaging 31:142–148PubMedCrossRef
34.
Zurück zum Zitat Kirsch W, McAuley G, Holshouser B et al (2009) Serial susceptibility weighted MRI measures brain iron and microbleeds in dementia. J Alzheimers Dis 17:599–609PubMed Kirsch W, McAuley G, Holshouser B et al (2009) Serial susceptibility weighted MRI measures brain iron and microbleeds in dementia. J Alzheimers Dis 17:599–609PubMed
35.
Zurück zum Zitat Haller S, Bartsch A, Nguyen D et al (2010) Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging assessment. Radiology 257:764–773PubMedCrossRef Haller S, Bartsch A, Nguyen D et al (2010) Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging assessment. Radiology 257:764–773PubMedCrossRef
36.
Zurück zum Zitat Uetani H, Hirai T, Hashimoto M et al (2013) Prevalence and topography of small hypointense foci suggesting microbleeds on 3T susceptibility-weighted imaging in various types of dementia. AJNR Am J Neuroradiol 34:984–989PubMedCrossRef Uetani H, Hirai T, Hashimoto M et al (2013) Prevalence and topography of small hypointense foci suggesting microbleeds on 3T susceptibility-weighted imaging in various types of dementia. AJNR Am J Neuroradiol 34:984–989PubMedCrossRef
37.
Zurück zum Zitat Gold G, Giannakopoulos P, Herrmann FR et al (2007) Identification of Alzheimer and vascular lesion thresholds for mixed dementia. Brain 130:2830–2836PubMedCrossRef Gold G, Giannakopoulos P, Herrmann FR et al (2007) Identification of Alzheimer and vascular lesion thresholds for mixed dementia. Brain 130:2830–2836PubMedCrossRef
38.
Zurück zum Zitat Fisher M, French S, Ji P et al (2010) Cerebral microbleeds in the elderly: a pathological analysis. Stroke 41:2782–2785PubMedCrossRef Fisher M, French S, Ji P et al (2010) Cerebral microbleeds in the elderly: a pathological analysis. Stroke 41:2782–2785PubMedCrossRef
39.
Zurück zum Zitat Tanskanen M, Makela M, Myllykangas L et al (2012) Intracerebral hemorrhage in the oldest old: a population-based study (vantaa 85+). Front Neurol 3:103PubMedCrossRef Tanskanen M, Makela M, Myllykangas L et al (2012) Intracerebral hemorrhage in the oldest old: a population-based study (vantaa 85+). Front Neurol 3:103PubMedCrossRef
40.
Zurück zum Zitat Fazekas F, Kleinert R, Roob G et al (1999) Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds. AJNR Am J Neuroradiol 20:637–642PubMed Fazekas F, Kleinert R, Roob G et al (1999) Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds. AJNR Am J Neuroradiol 20:637–642PubMed
41.
Zurück zum Zitat Schrag M, McAuley G, Pomakian J et al (2010) Correlation of hypointensities in susceptibility-weighted images to tissue histology in dementia patients with cerebral amyloid angiopathy: a postmortem MRI study. Acta Neuropathol 119:291–302PubMedCrossRef Schrag M, McAuley G, Pomakian J et al (2010) Correlation of hypointensities in susceptibility-weighted images to tissue histology in dementia patients with cerebral amyloid angiopathy: a postmortem MRI study. Acta Neuropathol 119:291–302PubMedCrossRef
42.
Zurück zum Zitat Tatsumi S, Shinohara M, Yamamoto T (2008) Direct comparison of histology of microbleeds with postmortem MR images: a case report. Cerebrovasc Dis 26:142–146PubMedCrossRef Tatsumi S, Shinohara M, Yamamoto T (2008) Direct comparison of histology of microbleeds with postmortem MR images: a case report. Cerebrovasc Dis 26:142–146PubMedCrossRef
43.
Zurück zum Zitat Torosyan N, Silverman DH (2012) Neuronuclear imaging in the evaluation of dementia and mild decline in cognition. Semin Nucl Med 42:415–422PubMedCrossRef Torosyan N, Silverman DH (2012) Neuronuclear imaging in the evaluation of dementia and mild decline in cognition. Semin Nucl Med 42:415–422PubMedCrossRef
44.
Zurück zum Zitat Klunk WE, Engler H, Nordberg A et al (2004) Imaging brain amyloid in Alzheimer's disease with Pittsburgh compound-B. Ann Neurol 55:306–319PubMedCrossRef Klunk WE, Engler H, Nordberg A et al (2004) Imaging brain amyloid in Alzheimer's disease with Pittsburgh compound-B. Ann Neurol 55:306–319PubMedCrossRef
45.
Zurück zum Zitat Nordberg A (2011) Molecular imaging in Alzheimer's disease: new perspectives on biomarkers for early diagnosis and drug development. Alzheimers Res Ther 3:34PubMedCrossRef Nordberg A (2011) Molecular imaging in Alzheimer's disease: new perspectives on biomarkers for early diagnosis and drug development. Alzheimers Res Ther 3:34PubMedCrossRef
46.
Zurück zum Zitat Clark CM, Schneider JA, Bedell BJ et al (2011) Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA 305:275–283PubMedCrossRef Clark CM, Schneider JA, Bedell BJ et al (2011) Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA 305:275–283PubMedCrossRef
47.
Zurück zum Zitat Aizenstein HJ, Nebes RD, Saxton JA et al (2008) Frequent amyloid deposition without significant cognitive impairment among the elderly. Arch Neurol 65:1509–1517PubMedCrossRef Aizenstein HJ, Nebes RD, Saxton JA et al (2008) Frequent amyloid deposition without significant cognitive impairment among the elderly. Arch Neurol 65:1509–1517PubMedCrossRef
48.
Zurück zum Zitat Chetelat G, Villemagne VL, Pike KE et al (2011) Independent contribution of temporal beta-amyloid deposition to memory decline in the pre-dementia phase of Alzheimer's disease. Brain 134:798–807PubMedCrossRef Chetelat G, Villemagne VL, Pike KE et al (2011) Independent contribution of temporal beta-amyloid deposition to memory decline in the pre-dementia phase of Alzheimer's disease. Brain 134:798–807PubMedCrossRef
49.
Zurück zum Zitat Nordberg A, Carter SF, Rinne J et al (2013) A European multicentre PET study of fibrillar amyloid in Alzheimer's disease. Eur J Nucl Med Mol Imaging 40:104–114PubMedCrossRef Nordberg A, Carter SF, Rinne J et al (2013) A European multicentre PET study of fibrillar amyloid in Alzheimer's disease. Eur J Nucl Med Mol Imaging 40:104–114PubMedCrossRef
50.
Zurück zum Zitat Rowe CC, Ng S, Ackermann U et al (2007) Imaging beta-amyloid burden in aging and dementia. Neurology 68:1718–1725PubMedCrossRef Rowe CC, Ng S, Ackermann U et al (2007) Imaging beta-amyloid burden in aging and dementia. Neurology 68:1718–1725PubMedCrossRef
51.
Zurück zum Zitat Small GW, Kepe V, Ercoli LM et al (2006) PET of brain amyloid and tau in mild cognitive impairment. N Engl J Med 355:2652–2663PubMedCrossRef Small GW, Kepe V, Ercoli LM et al (2006) PET of brain amyloid and tau in mild cognitive impairment. N Engl J Med 355:2652–2663PubMedCrossRef
52.
Zurück zum Zitat Fodero-Tavoletti MT, Okamura N, Furumoto S et al (2011) 18F-THK523: a novel in vivo tau imaging ligand for Alzheimer's disease. Brain 134:1089–1100PubMedCrossRef Fodero-Tavoletti MT, Okamura N, Furumoto S et al (2011) 18F-THK523: a novel in vivo tau imaging ligand for Alzheimer's disease. Brain 134:1089–1100PubMedCrossRef
53.
Zurück zum Zitat Cagnin A, Kassiou M, Meikle SR et al (2006) In vivo evidence for microglial activation in neurodegenerative dementia. Acta Neurol Scand Suppl 185:107–114PubMedCrossRef Cagnin A, Kassiou M, Meikle SR et al (2006) In vivo evidence for microglial activation in neurodegenerative dementia. Acta Neurol Scand Suppl 185:107–114PubMedCrossRef
54.
Zurück zum Zitat Iannaccone S, Cerami C, Alessio M et al (2013) In vivo microglia activation in very early dementia with Lewy bodies, comparison with Parkinson's disease. Parkinsonism Relat Disord 19:47–52PubMedCrossRef Iannaccone S, Cerami C, Alessio M et al (2013) In vivo microglia activation in very early dementia with Lewy bodies, comparison with Parkinson's disease. Parkinsonism Relat Disord 19:47–52PubMedCrossRef
55.
Zurück zum Zitat Marcone A, Garibotto V, Moresco RM et al (2012) [(11)C]-MP4A PET cholinergic measurements in amnestic mild cognitive impairment, probable Alzheimer's disease, and dementia with Lewy bodies: a Bayesian method and voxel-based analysis. J Alzheimers Dis 31:387–399PubMed Marcone A, Garibotto V, Moresco RM et al (2012) [(11)C]-MP4A PET cholinergic measurements in amnestic mild cognitive impairment, probable Alzheimer's disease, and dementia with Lewy bodies: a Bayesian method and voxel-based analysis. J Alzheimers Dis 31:387–399PubMed
56.
Zurück zum Zitat Kendziorra K, Wolf H, Meyer PM et al (2011) Decreased cerebral alpha4beta2* nicotinic acetylcholine receptor availability in patients with mild cognitive impairment and Alzheimer's disease assessed with positron emission tomography. Eur J Nucl Med Mol Imaging 38:515–525PubMedCrossRef Kendziorra K, Wolf H, Meyer PM et al (2011) Decreased cerebral alpha4beta2* nicotinic acetylcholine receptor availability in patients with mild cognitive impairment and Alzheimer's disease assessed with positron emission tomography. Eur J Nucl Med Mol Imaging 38:515–525PubMedCrossRef
57.
Zurück zum Zitat Franceschi M, Anchisi D, Pelati O et al (2005) Glucose metabolism and serotonin receptors in the frontotemporal lobe degeneration. Ann Neurol 57:216–225PubMedCrossRef Franceschi M, Anchisi D, Pelati O et al (2005) Glucose metabolism and serotonin receptors in the frontotemporal lobe degeneration. Ann Neurol 57:216–225PubMedCrossRef
58.
Zurück zum Zitat Nitsch RM, Hock C (2008) Targeting beta-amyloid pathology in Alzheimer's disease with Abeta immunotherapy. Neurotherapeutics 5:415–420PubMedCrossRef Nitsch RM, Hock C (2008) Targeting beta-amyloid pathology in Alzheimer's disease with Abeta immunotherapy. Neurotherapeutics 5:415–420PubMedCrossRef
59.
Zurück zum Zitat Duara R, Barker W, Loewenstein D et al (2009) The basis for disease-modifying treatments for Alzheimer's disease: the sixth annual mild cognitive impairment symposium. Alzheimers Dement 5:66–74PubMedCrossRef Duara R, Barker W, Loewenstein D et al (2009) The basis for disease-modifying treatments for Alzheimer's disease: the sixth annual mild cognitive impairment symposium. Alzheimers Dement 5:66–74PubMedCrossRef
60.
Zurück zum Zitat Holmes C, Boche D, Wilkinson D et al (2008) Long-term effects of Abeta42 immunisation in Alzheimer's disease: follow-up of a randomised, placebo-controlled phase I trial. Lancet 372:216–223PubMedCrossRef Holmes C, Boche D, Wilkinson D et al (2008) Long-term effects of Abeta42 immunisation in Alzheimer's disease: follow-up of a randomised, placebo-controlled phase I trial. Lancet 372:216–223PubMedCrossRef
61.
Zurück zum Zitat Lannfelt L, Blennow K, Zetterberg H et al (2008) Safety, efficacy, and biomarker findings of PBT2 in targeting Abeta as a modifying therapy for Alzheimer's disease: a phase IIa, double-blind, randomised, placebo-controlled trial. Lancet Neurol 7:779–786PubMedCrossRef Lannfelt L, Blennow K, Zetterberg H et al (2008) Safety, efficacy, and biomarker findings of PBT2 in targeting Abeta as a modifying therapy for Alzheimer's disease: a phase IIa, double-blind, randomised, placebo-controlled trial. Lancet Neurol 7:779–786PubMedCrossRef
62.
Zurück zum Zitat Petersen RC (2004) Mild cognitive impairment as a diagnostic entity. J Intern Med 256:183–194PubMedCrossRef Petersen RC (2004) Mild cognitive impairment as a diagnostic entity. J Intern Med 256:183–194PubMedCrossRef
63.
Zurück zum Zitat Petersen RC, Negash S (2008) Mild cognitive impairment: an overview. CNS Spectr 13:45–53PubMed Petersen RC, Negash S (2008) Mild cognitive impairment: an overview. CNS Spectr 13:45–53PubMed
64.
Zurück zum Zitat Mariani E, Monastero R, Mecocci P (2007) Mild cognitive impairment: a systematic review. J Alzheimers Dis 12:23–35PubMed Mariani E, Monastero R, Mecocci P (2007) Mild cognitive impairment: a systematic review. J Alzheimers Dis 12:23–35PubMed
65.
Zurück zum Zitat Forlenza OV, Diniz BS, Nunes PV et al (2009) Diagnostic transitions in mild cognitive impairment subtypes. Int Psychogeriatr 21:1088–1095PubMedCrossRef Forlenza OV, Diniz BS, Nunes PV et al (2009) Diagnostic transitions in mild cognitive impairment subtypes. Int Psychogeriatr 21:1088–1095PubMedCrossRef
66.
Zurück zum Zitat Mueller SG, Weiner MW, Thal LJ et al (2005) Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimers Dement 1:55–66PubMedCrossRef Mueller SG, Weiner MW, Thal LJ et al (2005) Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimers Dement 1:55–66PubMedCrossRef
67.
Zurück zum Zitat Lovestone S, Francis P, Kloszewska I et al (2009) AddNeuroMed—the European collaboration for the discovery of novel biomarkers for Alzheimer's disease. Ann N Y Acad Sci 1180:36–46PubMedCrossRef Lovestone S, Francis P, Kloszewska I et al (2009) AddNeuroMed—the European collaboration for the discovery of novel biomarkers for Alzheimer's disease. Ann N Y Acad Sci 1180:36–46PubMedCrossRef
68.
Zurück zum Zitat Ashburner J, Friston KJ (2000) Voxel-based morphometry—the methods. NeuroImage 11:805–821PubMedCrossRef Ashburner J, Friston KJ (2000) Voxel-based morphometry—the methods. NeuroImage 11:805–821PubMedCrossRef
69.
Zurück zum Zitat Scahill RI, Schott JM, Stevens JM et al (2002) Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci U S A 99:4703–4707PubMedCrossRef Scahill RI, Schott JM, Stevens JM et al (2002) Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci U S A 99:4703–4707PubMedCrossRef
70.
Zurück zum Zitat Karas GB, Burton EJ, Rombouts SA et al (2003) A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. NeuroImage 18:895–907PubMedCrossRef Karas GB, Burton EJ, Rombouts SA et al (2003) A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. NeuroImage 18:895–907PubMedCrossRef
71.
Zurück zum Zitat Karas GB, Scheltens P, Rombouts SA et al (2004) Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease. NeuroImage 23:708–716PubMedCrossRef Karas GB, Scheltens P, Rombouts SA et al (2004) Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease. NeuroImage 23:708–716PubMedCrossRef
72.
Zurück zum Zitat Karas G, Sluimer J, Goekoop R et al (2008) Amnestic mild cognitive impairment: structural MR imaging findings predictive of conversion to Alzheimer disease. AJNR Am J Neuroradiol 29:944–949PubMedCrossRef Karas G, Sluimer J, Goekoop R et al (2008) Amnestic mild cognitive impairment: structural MR imaging findings predictive of conversion to Alzheimer disease. AJNR Am J Neuroradiol 29:944–949PubMedCrossRef
73.
Zurück zum Zitat Chupin M, Gerardin E, Cuingnet R et al (2009) Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus 19:579–587PubMedCrossRef Chupin M, Gerardin E, Cuingnet R et al (2009) Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus 19:579–587PubMedCrossRef
74.
Zurück zum Zitat Holland D, Brewer JB, Hagler DJ et al (2009) Subregional neuroanatomical change as a biomarker for Alzheimer's disease. Proc Natl Acad Sci U S A 106:20954–20959PubMedCrossRef Holland D, Brewer JB, Hagler DJ et al (2009) Subregional neuroanatomical change as a biomarker for Alzheimer's disease. Proc Natl Acad Sci U S A 106:20954–20959PubMedCrossRef
75.
Zurück zum Zitat Smith SM, Jenkinson M, Johansen-Berg H et al (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31:1487–1505PubMedCrossRef Smith SM, Jenkinson M, Johansen-Berg H et al (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31:1487–1505PubMedCrossRef
76.
Zurück zum Zitat Damoiseaux JS, Smith SM, Witter MP et al (2009) White matter tract integrity in aging and Alzheimer's disease. Hum Brain Mapp 30:1051–1059PubMedCrossRef Damoiseaux JS, Smith SM, Witter MP et al (2009) White matter tract integrity in aging and Alzheimer's disease. Hum Brain Mapp 30:1051–1059PubMedCrossRef
77.
Zurück zum Zitat Liu Y, Spulber G, Lehtimaki KK et al (2011) Diffusion tensor imaging and tract-based spatial statistics in Alzheimer's disease and mild cognitive impairment. Neurobiol Aging 32(9):1558–1571PubMedCrossRef Liu Y, Spulber G, Lehtimaki KK et al (2011) Diffusion tensor imaging and tract-based spatial statistics in Alzheimer's disease and mild cognitive impairment. Neurobiol Aging 32(9):1558–1571PubMedCrossRef
78.
Zurück zum Zitat Teipel SJ, Meindl T, Grinberg L et al (2011) The cholinergic system in mild cognitive impairment and Alzheimer's disease: an in vivo MRI and DTI study. Hum Brain Mapp 32(9):1349–1362PubMedCrossRef Teipel SJ, Meindl T, Grinberg L et al (2011) The cholinergic system in mild cognitive impairment and Alzheimer's disease: an in vivo MRI and DTI study. Hum Brain Mapp 32(9):1349–1362PubMedCrossRef
79.
Zurück zum Zitat Teipel SJ, Pogarell O, Meindl T et al (2009) Regional networks underlying interhemispheric connectivity: an EEG and DTI study in healthy ageing and amnestic mild cognitive impairment. Hum Brain Mapp 30:2098–2119PubMedCrossRef Teipel SJ, Pogarell O, Meindl T et al (2009) Regional networks underlying interhemispheric connectivity: an EEG and DTI study in healthy ageing and amnestic mild cognitive impairment. Hum Brain Mapp 30:2098–2119PubMedCrossRef
80.
Zurück zum Zitat Arenaza-Urquijo EM, Bosch B, Sala-Llonch R et al (2011) Specific anatomic associations between white matter integrity and cognitive reserve in normal and cognitively impaired elders. Am J Geriatr Psychiatry 19:33–42PubMedCrossRef Arenaza-Urquijo EM, Bosch B, Sala-Llonch R et al (2011) Specific anatomic associations between white matter integrity and cognitive reserve in normal and cognitively impaired elders. Am J Geriatr Psychiatry 19:33–42PubMedCrossRef
81.
Zurück zum Zitat Bosch B, Arenaza-Urquijo EM, Rami L et al (2012) Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging 33:61–74PubMedCrossRef Bosch B, Arenaza-Urquijo EM, Rami L et al (2012) Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging 33:61–74PubMedCrossRef
82.
Zurück zum Zitat Teipel SJ, Meindl T, Wagner M et al (2010) Longitudinal changes in fiber tract integrity in healthy aging and mild cognitive impairment: a DTI follow-up study. J Alzheimers Dis 22:507–522PubMed Teipel SJ, Meindl T, Wagner M et al (2010) Longitudinal changes in fiber tract integrity in healthy aging and mild cognitive impairment: a DTI follow-up study. J Alzheimers Dis 22:507–522PubMed
83.
Zurück zum Zitat Haller S, Nguyen D, Rodriguez C et al (2010) Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. J Alzheimers Dis 22:315–327PubMed Haller S, Nguyen D, Rodriguez C et al (2010) Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. J Alzheimers Dis 22:315–327PubMed
84.
Zurück zum Zitat O'Dwyer L, Lamberton F, Bokde AL et al (2012) Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment. PLoS One 7:e32441PubMedCrossRef O'Dwyer L, Lamberton F, Bokde AL et al (2012) Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment. PLoS One 7:e32441PubMedCrossRef
85.
Zurück zum Zitat Haller S, Lovblad KO, Giannakopoulos P (2011) Principles of classification analyses in mild cognitive impairment (MCI) and Alzheimer disease. J Alzheimers Dis 26(Suppl 3):389–394PubMed Haller S, Lovblad KO, Giannakopoulos P (2011) Principles of classification analyses in mild cognitive impairment (MCI) and Alzheimer disease. J Alzheimers Dis 26(Suppl 3):389–394PubMed
87.
Zurück zum Zitat Plant C, Teipel SJ, Oswald A et al (2010) Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. NeuroImage 50:162–174PubMedCrossRef Plant C, Teipel SJ, Oswald A et al (2010) Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. NeuroImage 50:162–174PubMedCrossRef
88.
Zurück zum Zitat Misra C, Fan Y, Davatzikos C (2009) Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. NeuroImage 44:1415–1422PubMedCrossRef Misra C, Fan Y, Davatzikos C (2009) Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. NeuroImage 44:1415–1422PubMedCrossRef
89.
Zurück zum Zitat Fan Y, Batmanghelich N, Clark CM et al (2008) Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. NeuroImage 39:1731–1743PubMedCrossRef Fan Y, Batmanghelich N, Clark CM et al (2008) Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. NeuroImage 39:1731–1743PubMedCrossRef
90.
Zurück zum Zitat Haller S, Missonnier P, Herrmann FR et al (2013) Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI. AJNR Am J Neuroradiol 34:283–291PubMedCrossRef Haller S, Missonnier P, Herrmann FR et al (2013) Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI. AJNR Am J Neuroradiol 34:283–291PubMedCrossRef
91.
Zurück zum Zitat Wee CY, Yap PT, Zhang D et al (2012) Identification of MCI individuals using structural and functional connectivity networks. NeuroImage 59:2045–2056PubMedCrossRef Wee CY, Yap PT, Zhang D et al (2012) Identification of MCI individuals using structural and functional connectivity networks. NeuroImage 59:2045–2056PubMedCrossRef
92.
Zurück zum Zitat Caroli A, Prestia A, Chen K et al (2012) Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison. J Nucl Med 53:592–600PubMedCrossRef Caroli A, Prestia A, Chen K et al (2012) Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison. J Nucl Med 53:592–600PubMedCrossRef
93.
Zurück zum Zitat Chen K, Ayutyanont N, Langbaum JB et al (2011) Characterizing Alzheimer's disease using a hypometabolic convergence index. NeuroImage 56:52–60PubMedCrossRef Chen K, Ayutyanont N, Langbaum JB et al (2011) Characterizing Alzheimer's disease using a hypometabolic convergence index. NeuroImage 56:52–60PubMedCrossRef
94.
Zurück zum Zitat Garibotto V, Montandon ML, Viaud CT et al (2013) Regions of interest-based discriminant analysis of DaTSCAN SPECT and FDG-PET for the classification of dementia. Clin Nucl Med 38:e112–e117PubMedCrossRef Garibotto V, Montandon ML, Viaud CT et al (2013) Regions of interest-based discriminant analysis of DaTSCAN SPECT and FDG-PET for the classification of dementia. Clin Nucl Med 38:e112–e117PubMedCrossRef
95.
Zurück zum Zitat Haense C, Herholz K, Jagust WJ et al (2009) Performance of FDG PET for detection of Alzheimer's disease in two independent multicentre samples (NEST-DD and ADNI). Dement Geriatr Cogn Disord 28:259–266PubMedCrossRef Haense C, Herholz K, Jagust WJ et al (2009) Performance of FDG PET for detection of Alzheimer's disease in two independent multicentre samples (NEST-DD and ADNI). Dement Geriatr Cogn Disord 28:259–266PubMedCrossRef
96.
Zurück zum Zitat Minoshima S, Frey KA, Koeppe RA et al (1995) A diagnostic approach in Alzheimer's disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med 36:1238–1248PubMed Minoshima S, Frey KA, Koeppe RA et al (1995) A diagnostic approach in Alzheimer's disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med 36:1238–1248PubMed
97.
Zurück zum Zitat Tomlinson BE, Blessed G, Roth M (1968) Observations on the brains of non-demented old people. J Neurol Sci 7:331–356PubMedCrossRef Tomlinson BE, Blessed G, Roth M (1968) Observations on the brains of non-demented old people. J Neurol Sci 7:331–356PubMedCrossRef
98.
Zurück zum Zitat Fotenos AF, Mintun MA, Snyder AZ et al (2008) Brain volume decline in aging: evidence for a relation between socioeconomic status, preclinical Alzheimer disease, and reserve. Arch Neurol 65:113–120PubMedCrossRef Fotenos AF, Mintun MA, Snyder AZ et al (2008) Brain volume decline in aging: evidence for a relation between socioeconomic status, preclinical Alzheimer disease, and reserve. Arch Neurol 65:113–120PubMedCrossRef
99.
Zurück zum Zitat Garibotto V, Borroni B, Kalbe E et al (2008) Education and occupation as proxies for reserve in aMCI converters and AD: FDG-PET evidence. Neurology 71:1342–1349PubMedCrossRef Garibotto V, Borroni B, Kalbe E et al (2008) Education and occupation as proxies for reserve in aMCI converters and AD: FDG-PET evidence. Neurology 71:1342–1349PubMedCrossRef
100.
Zurück zum Zitat Perneczky R, Haussermann P, Diehl-Schmid J et al (2007) Metabolic correlates of brain reserve in dementia with Lewy bodies: an FDG PET study. Dement Geriatr Cogn Disord 23:416–422PubMedCrossRef Perneczky R, Haussermann P, Diehl-Schmid J et al (2007) Metabolic correlates of brain reserve in dementia with Lewy bodies: an FDG PET study. Dement Geriatr Cogn Disord 23:416–422PubMedCrossRef
101.
Zurück zum Zitat Premi E, Garibotto V, Gazzina S et al (2013) Beyond cognitive reserve: behavioural reserve hypothesis in frontotemporal dementia. Behav Brain Res 245:58–62PubMedCrossRef Premi E, Garibotto V, Gazzina S et al (2013) Beyond cognitive reserve: behavioural reserve hypothesis in frontotemporal dementia. Behav Brain Res 245:58–62PubMedCrossRef
102.
Zurück zum Zitat Roe CM, Mintun MA, Ghoshal N et al (2010) Alzheimer disease identification using amyloid imaging and reserve variables: proof of concept. Neurology 75:42–48PubMedCrossRef Roe CM, Mintun MA, Ghoshal N et al (2010) Alzheimer disease identification using amyloid imaging and reserve variables: proof of concept. Neurology 75:42–48PubMedCrossRef
103.
Zurück zum Zitat Vemuri P, Weigand SD, Przybelski SA et al (2011) Cognitive reserve and Alzheimer's disease biomarkers are independent determinants of cognition. Brain 134:1479–1492PubMedCrossRef Vemuri P, Weigand SD, Przybelski SA et al (2011) Cognitive reserve and Alzheimer's disease biomarkers are independent determinants of cognition. Brain 134:1479–1492PubMedCrossRef
Metadaten
Titel
Neuroimaging of dementia in 2013: what radiologists need to know
verfasst von
Sven Haller
Valentina Garibotto
Enikö Kövari
Constantin Bouras
Aikaterini Xekardaki
Cristelle Rodriguez
Maciej Jakub Lazarczyk
Panteleimon Giannakopoulos
Karl-Olof Lovblad
Publikationsdatum
01.12.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 12/2013
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-013-2957-0

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