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Neuroimaging and Early Diagnosis of Alzheimer Disease: A Look to the Future
Abstract
Alzheimer disease (AD), a progressive neurodegenerative disorder, is the most common cause of dementia in the elderly. Current consensus statements have emphasized the need for early recognition and the fact that a diagnosis of AD can be made with high accuracy by using clinical, neuropsychologic, and imaging assessments. Magnetic resonance (MR) or computed tomographic (CT) imaging is recommended for the routine evaluation of AD. Coronal MR images can be useful to document or quantify atrophy of the hippocampus and entorhinal cortex, both of which occur early in the disease process. Both volumetric and subtraction MR techniques can be used to quantify and monitor dementia progression and rates of regional atrophy. MR measures are also increasingly being used to monitor treatment effects in clinical trials of cognitive enhancers and antidementia agents. Positron emission tomography (PET) and single photon emission CT offer value in the differential diagnosis of AD from other cortical and subcortical dementias and may also offer prognostic value. In addition, PET studies have demonstrated that subtle abnormalities may be apparent in the prodromal stages of AD and in subjects who carry susceptibility genes. PET ligands are in late-stage development for demonstration of amyloid plaques, and human studies have already begun. Functional MR-based memory challenge tests are in development as well.
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“neuroradiological indexes of hippocampal atrophy [3], [4] and, consistent with the well-known role of the hippocampus in human declarative memory [5], episodic memory deficits [6], [7] are among the most powerful diagnostic indexes of AD from the very early phases, corresponding to the clinical condition of amnestic mild cognitive impairment (MCI).”
From Atrophy of presubiculum and subiculum is the earliest hippocampal anatomical marker of Alzheimer's disease (2015) · cites this paper as [4]
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Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease
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FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease
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BackgroundDeep neural networks for anatomical brain segmentation
de Brebisson, A., & Montana, G. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301312 · Cited by 330
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BackgroundModeling disease progression via multi-task learning
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“A definitive diagnosis of AD can only be made through an analysis of brain tissue during a brain biopsy or autopsy (Jeffrey et al., 2003).”
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“…tests, including functional imaging with Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET), has focused on the positive findings of typical AD changes, such as medial temporal atrophy detected by CT or MRI and temporoparietal hypometabolism by PET [6–9].”
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Adeli, H., Ghosh‐Dastidar, S., & Dadmehr, N. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.08.008 · Cited by 194
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BackgroundPrediction and classification of Alzheimer disease based on quantification of MRI deformation
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NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease
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Inflammatory Proteins in Plasma Are Associated with Severity of Alzheimer’s Disease
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“Therefore, neuroradiological indexes of hippocampal atrophy [3,4] and, consistent with the wellknown role of the hippocampus in human declarative memory [5], episodic memory deficits [6,7] are among the most powerful diagnostic indexes of AD from the very early phases, corresponding to the clinical condition of amnest…”
Clinical aspects of inflammation in Alzheimer's disease
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“…of AD includes intraneuronal neurofibrillary tangles, extracellular neuritic plaques containing fibrillar -amyloid, diffuse plaques with soluble non-fibrillar -amyloid, evidence of apoptosis and neuronal death, and generalized cortical atrophy (Petrella et al., 2003; Rombouts et al., 2000).”
BackgroundNazem, A., & Mansoori, G. A. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-13210 · Cited by 150
Konrad, C., Ukas, T., Nebel, C., Arolt, V., Toga, A. W., & Narr, K. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.019 · Cited by 152
“The hippocampus has been implicated in the pathophysiology of many neurological and psychiatric diseases (Geuze et al., 2005b; Petrella et al., 2003; Sahay and Hen, 2007).”
Is aging part of Alzheimer's disease, or is Alzheimer's disease part of aging?
Swerdlow, R. H. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.06.021 · Cited by 154
“[164] Petrella JR, Coleman RE, Doraiswamy PM.”
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Adeli, H., Ghosh‐Dastidar, S., & Dadmehr, N. (2005) · Clinical EEG and Neuroscience · doi:10.1177/155005940503600303 · Cited by 141
López-de-Ipiña, K., Alonso, J. B., Solé-Casals, J., Barroso, N., Henriquez, P., Faundez-Zanuy, M., Travieso, C. M., Ecay-Torres, M., Martínez-Lage, P., & Eguiraun, H. (2015) · Cognitive Computation · doi:10.1007/s12559-013-9229-9 · Cited by 132
3D texture analysis on MRI images of Alzheimer’s disease
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“These abnormalities are characterized by the appearance of extracellular amyloid plaques and intracellular neurofibrillary tangles (Petrella et al. 2003) which disintegrates microtubules, collapses the neuron’s transport network, and damages the function of the neuron as well as the communication between neurons (NIA…”
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Alzheimer's disease and models of computation: Imaging, classification, and neural models
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Semantic memory activation in amnestic mild cognitive impairment
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“…promise of providing critically important data during the preclinical stage of Alzheimer’s disease, especially if the selected task activates regions known to be affected by the disease, such as the hippocampus, posterior cingulate, and lateral temporoparietal regions (Petrella et al., 2003, 2007).”
Mild Cognitive Impairment: Evaluation with 4-T Functional MR Imaging
Petrella, J. R., Krishnan, S., Slavin, M. J., Tran, T.-T. T., Murty, L., & Doraiswamy, P. M. (2006) · Radiology · doi:10.1148/radiol.2401050739 · Cited by 127
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“They have been shown to be correlated with the underlying AD pathology and progressive deterioration of functional ability [12].”
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“In contrast to the nonlocalized pattern of aging-related atrophy, AD is associated with atrophy of the medial temporal lobe (MTL), in particular of the hippocampus, of the parahippocampal gyrus (including the entorhinal cortex), and of the amygdala.(3,4) An important advantage of MR over CT is the ability to directly…”
BackgroundMethodInfluentialShape differences of the brain ventricles in Alzheimer's disease
Ferrarini, L., Palm, W. M., Olofsen, H., van Buchem, M. A., Reiber, J. H. C., & Behloul, F. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.048 · Cited by 113
Quantitative MR Imaging in Alzheimer Disease
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“There is typically a relative sparing of the primary sensori-motor cortex [1–3].”
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“Recent advances in magnetic resonance imaging (MRI) techniques have generally improved diagnostic sensitivity for disorders that can lead to dementia (Chetelat and Baron, 2003; Petrella et al., 2003).”
BackgroundRelating one-year cognitive change in mild cognitive impairment to baseline MRI features
Duchesne, S., Caroli, A., Geroldi, C., Collins, D. L., & Frisoni, G. B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.023 · Cited by 106
“, who suggested simple thresholds to differentiate between normality (MMSE=30), mild impairment (23bMMSEb30) or possible dementia (MMSE=b23) (Petrella et al., 2003); such thresholds are useful but not definitive.”
Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology
Adeli, H., & Ghosh‐Dastidar, S. (2010) · Thammasat University Digital Collections · Cited by 103
Vitali, P., Migliaccio, R., Agosta, F., Rosen, H., & Geschwind, M. D. (2008) · Seminars in Neurology · doi:10.1055/s-0028-1083695 · Cited by 105
Use of Functional Magnetic Resonance Imaging in the Early Identification of Alzheimer's Disease
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“…cingulate have been reported in MCI and AD (Desgranges et al., 1998; Matsuda, 2001; Reiman et al., 1996; Small et al., 2000a) as well as in nondemented young and middle-aged adults at genetic risk for AD (Reiman et al., 1996, 2004, 2005; for review, see Petrella et al., 2003; Wolf et al., 2003).”
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“MMSE and ADAS-Cog have been shown to be correlated with the underlying AD pathology and a progressive deterioration of functional ability [2].”
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Marzban, E. N., Eldeib, A. M., Yassine, I. A., Kadah, Y. M., & Initiative, A. D. N. (2020) · PLoS ONE · doi:10.1371/journal.pone.0230409 · Cited by 104
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Visuospatial Perception: An Emerging Biomarker for Alzheimer's Disease
Mandal, P. K., Joshi, J., & Saharan, S. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120901 · Cited by 105
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InfluentialFranco, G. A., Interdonato, L., Cordaro, M., Cuzzocrea, S., & Paola, R. D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087318 · Cited by 103
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Chaddad, A., Desrosiers, C., & Niazi, T. M. (2018) · IEEE Access · doi:10.1109/access.2018.2871977 · Cited by 100
“Alzheimer’s disease (AD) is a progressive neurodegenerative disorder which represents the most common cause of dementia in the elderly [1].”
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“This limits the discriminative power of morphometric approaches and indicates functional CNS imaging methods may prove to be of greater use to highlight dysfunctional neuronal changes preceding or even disjunctive of local neuroatrophy (Petrella et al., 2003).”
BackgroundNakabeppu, Y., Kajitani, K., Sakamoto, K., Yamaguchi, H., & Tsuchimoto, D. (2006) · DNA repair · doi:10.1016/j.dnarep.2006.03.003 · Cited by 91
Emotional Decoding Abilities in Alzheimer's Disease: A Meta-Analysis
Klein-Koerkamp, Y., Beaudoin, M., Baciu, M., & Hot, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120553 · Cited by 99
“parallel with progressive impairment of global cognitive functions, particularly episodic memory [2], clinical reports suggest massive emotional disturbances [3].”
A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI data
Tripoliti, E. E., Fotiadis, D. I., Argyropoulou, M. I., & Manis, G. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.10.004 · Cited by 85
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“However, it has been reported that the diagnostic accuracy can exceed 90% in an academic memory disorders clinical setting [44, 45 ], which was the case in this study.”
BackgroundFrisoni, G. B. (2003) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.74.10.1371 · Cited by 80
Delano‐Wood, L., Stricker, N. H., Sorg, S. F., Nation, D. A., Jak, A. J., Woods, S. P., Libon, D. J., Delis, D. C., Frank, L. R., & Bondi, M. W. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-102103 · Cited by 79
Parente, D., Gasparetto, E., da Cruz, L. C. H., Domingues, R. C., Baptista, A. C., Carvalho, A. C., & Domingues, R. (2008) · AJR. American journal of roentgenology · doi:10.2214/ajr.07.2617 · Cited by 75
“Except for nonspecific areas of high signal intensity, white matter (WM) lesions in patients with AD are not evident on conventional MRI [6, 7].”
BackgroundRosano, C., Aizenstein, H. J., Cochran, J. L., Saxton, J. A., Kosky, S. T. D., Newman, A. B., Kuller, L. H., López, O. L., & Carter, C. S. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.12.031 · Cited by 77
“…brain activation in those individuals at high risk of dementia are consistent with previous neuroimaging studies that reported greater prefrontal and parietal brain activity in individuals with early Alzheimer’s disease (AD) compared with healthy agematched controls (review by Petrella et al 2003).”
BackgroundResultImaging brain amyloid deposition using grating-based differential phase contrast tomography
Pinzer, B., Cacquevel, M., Modregger, P., McDonald, S. A., Bensadoun, J., Thuering, T., Aebischer, P., & Stampanoni, M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.029 · Cited by 76
“Until recently, imaging techniques have been used mainly to exclude other causes of dementia (Petrella et al., 2003).”
MethodMICEST: A potential tool for non-invasive detection of molecular changes in Alzheimer's disease
Haris, M., Singh, A. K., Cai, K., Nath, K., Crescenzi, R. L., Kogan, F., Hariharan, H., & Reddy, R. D. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.09.025 · Cited by 81
“Alzheimer’s disease (AD) is the most common cause of dementia in elderly, affecting approximately 2–4 million individuals in the United States and more than 30 millions worldwide (Petrella et al., 2003).”
BackgroundAcupuncture Modulates Resting State Hippocampal Functional Connectivity in Alzheimer Disease
Wang, Z., Liang, P., Zhao, Z., Han, Y., Haiqing, S., Xu, J., Lu, J., & Li, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091160 · Cited by 74
“Previous experiments using task or resting-state fMRI have reported increased activity or connectivity in the frontal region of AD patients compared to healthy controls [15,35–37].”
Molecular Neuroimaging: From Conventional to Emerging Techniques
Hammoud, D. A., Hoffman, J. M., & Pomper, M. G. (2007) · Radiology · doi:10.1148/radiol.2451060731 · Cited by 72
Volumetric Segmentation of Brain Regions From MRI Scans Using 3D Convolutional Neural Networks
Ramzan, F., Khan, M. U. G., Iqbal, S., Saba, T., & Rehman, A. U. (2020) · IEEE Access · doi:10.1109/access.2020.2998901 · Cited by 77
“…different brain regions as volume, surface area and The associate editor coordinating the review of this manuscript and approving it for publication was Jinjia Zhou . morphology of them have found to be linked with various neurological disorders such as Parkinson’s and Alzheimer’s diseases [2]–[4].”
BackgroundDynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks
Jarrett, D. P., Yoon, J., & van der Schaar, M. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2929264 · Cited by 77
“(see Appendix D in the supplementary material for an explanation of how variable influence is determined; these are consistent with the fact that cognitive scores are known to be indicative of disease state [43], [70], [71]).”
Vannini, P., Almkvist, O., Dierks, T., Lehmann, C. U., & Wahlund, L. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2007.02.003 · Cited by 69
Pathological Aging of the Brain
de Bastos-Leite, A. J., Scheltens, P., & Barkhof, F. (2004) · Topics in Magnetic Resonance Imaging · doi:10.1097/01.rmr.0000168070.90113.dc · Cited by 67
“Computed tomography without contrast is sufficient to rule out almost all surgically manageable causes of dementia,(39) but except in cases where MR is contraindicated, not available, or not affordable, there is no reason to prefer CT over MR.(40) When CT is the only alternative, axial thin slices parallel to the long…”
BackgroundInfluentialMatsunari, I., Samuraki, M., Chen, W.-P., Yanase, D., Takeda, N., Ono, K., Yoshita, M., Matsuda, H., Yamada, M., & Kinuya, S. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.042820 · Cited by 68
“Because Alzheimer’s disease (AD) is the leading form of age-related dementia in many countries, efforts have been made to develop techniques to detect abnormalities associated with the presence and severity of disease (1).”
BackgroundResultInfluentialAssociation of ABCA2 expression with determinants of Alzheimer's disease
Chen, Z. J., Vulevic, B., Ile, K. E., Soulika, A. M., Davis, W., Reiner, P. B., Connop, B. P., Nathwan, P., Trojanowski, J. Q., & Tew, K. D. (2004) · The FASEB Journal · doi:10.1096/fj.03-1490fje · Cited by 66
“Pathology of these two regions, together with the parietal, has been previously implicated in AD (39, 40).”
BackgroundMak, H. K., Chan, Q., Zhang, Z., Petersen, E. T., Qiu, D., Zhang, L., Yau, K. K. W., Chu, L., & Golay, X. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111877 · Cited by 66
“…and parietal flow also replicated the findings of functional reductions reductions in posterior temporal and parietal cortices [3] thesefindings[4,5],aswellasfindinghypometabolism intheposteriorcingulate Therecentintroductionofarterialspinlabeling imaging(MRI),intoclinicalpracticehasopenedup…”
Tanpitukpongse, T. P., Mazurowski, M. A., Ikhena, J., & Petrella, J. R. (2017) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5061 · Cited by 61
“in the clinical care of patients with memory impairment for prognosis remains challenging.(10,11) Medial temporal lobe volume as-”
Self-citationMiller, J. C., & Thrall, J. H. (2004) · Journal of the American College of Radiology · doi:10.1016/s1546-1440(03)00025-5 · Cited by 63
Positron Emission Tomography Diagnosis of Alzheimer's Disease
Coleman, R. E. (2005) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.09.007 · Cited by 62
Self-citationRosengarten, B., Paulsen, S., Molnár, S., Kaschel, R., Gallhofer, B., & Kaps, M. (2005) · Journal of Neurology · doi:10.1007/s00415-005-0926-5 · Cited by 58
“(gain) under cortical activation in AD patients [5, 9, 13, 29].”
BackgroundHuang, H., Zheng, S., Yang, Z., Wu, Y., Li, Y., Qiu, J., Cheng, Y., Lin, P., Lin, Y., Guan, J., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac099 · Cited by 57
“Studies have shown that the cognitive decline may start several years to decades before the clinical AD diagnosis, first as an asymptomatic period, then transforming into MCI (Petrella et al. 2003; Hinrichs et al. 2011).”
Adaptive fusion of texture-based grading for Alzheimer's disease classification
Hett, K., Ta, V., Manjón, J. V., & Pierrick Coupé, A. (2018) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2018.08.002 · Cited by 57
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“Currently, only MRI, CT, and FDG PET are in routine clinical use for imaging AD patients (DeKosky and Marek, 2003; Petrella et al., 2003), primarily to rule out other possible causes of dementia.”
Recent insights into the roles of circular RNAs in human brain development and neurologic diseases
Najafi, S., Zarch, S. M. A., Majidpoor, J., Pordel, S., Aghamiri, S., Rasul, M. F., Asemani, Y., Vakili, O., Mohammadi, V., Movahedpour, A., et al. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.11.166 · Cited by 56
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
Lucena, O., de Souza, R. M., Rittner, L., Frayne, R., & Lotufo, R. (2019) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.06.008 · Cited by 59
Deep Neural Networks for Anatomical Brain SegmentationPreprint
de Brébisson, A., & Montana, G. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1502.02445 · Cited by 68
“For instance, abnormal volumes or shapes of certain anatomical regions of the brain have been found to be associated with brain disorders, including Alzheimer’s disease and Parkinson [10, 19].”
BackgroundAccuracy of early diagnosis and its impact on the management and course of Alzheimer’s disease
Chang, C. Y., & Silverman, D. H. S. (2004) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.4.1.63 · Cited by 54
Anti-inflammatory effects of daidzein on primary astroglial cell culture
Liu, M.-H., Lin, Y.-S., Sheu, S.-Y., & Sun, J. (2009) · Nutritional Neuroscience · doi:10.1179/147683009x423274 · Cited by 52
Altered navigational strategy use and visuospatial deficits in hAPP transgenic mice
Deipolyi, A. R., Fang, S., Palop, J. J., Yu, G.-Q., Wang, X., & Mucke, L. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.021 · Cited by 52
Zhou, T., Thung, K., Liu, M., & Shen, D. G. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2824725 · Cited by 52
“However, as shown in many works [2], [3], [7], [8], [13], not all the ROI-based MRI features are related to AD, since AD mainly affects brain regions that are related to memory and cognitive functions.”
Wang, M., Zhang, D., Shen, D. G., & Liu, M. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.01.007 · Cited by 58
“It has been reported that MMSE is correlated with the underlying AD pathology and neurodegenerative mechanism (Petrella et al., 2003), and ADAS-Cog is the gold standard in AD drug trial for cognitive function assessment (Rosen et al., 1984).”
Biomarkers for Alzheimer's Disease Defined by a Novel Brain Functional Network Measure
Song, Z., Deng, B., Wang, J., & Wang, R. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2834546 · Cited by 51
“symptoms and worsens over time [4], [5].”
Imaginem oblivionis: the prospects of neuroimaging for early detection of Alzheimer's disease
Villemagne, V. L., Rowe, C. C., Macfarlane, S., Novakovic, K. E., & Masters, C. L. (2005) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2004.03.011 · Cited by 50
MMAN: Multi-modality aggregation network for brain segmentation from MR images
Li, J., Yu, Z. L., Gu, Z., Liu, H., & Li, Y. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.05.025 · Cited by 49
Xu, L., Wu, H. M., He, C., Wang, J., Zhang, C., Nie, F., & Chen, L. (2022) · Medical Image Analysis · doi:10.1016/j.media.2022.102643 · Cited by 48
Tripoliti, E. E., Fotiadis, D. I., & Argyropoulou, M. I. (2011) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2011.05.005 · Cited by 49
“Typically, it takes a few weeks to complete a diagnostic evaluation of the AD [4].”
InfluentialBadea, A., Johnson, G. A., & Jankowsky, J. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.070 · Cited by 48
“MRI has been most widely used in AD research to map the onset and advance of neurodegeneration, with the goal of identifying particular brain regions that can predict the likelihood of progressing from mild cognitive impairment (MCI) to dementia (Mosconi et al., 2007; Busatto et al., 2008; Thompson et al., 2007; Ries…”
BackgroundMethodQuality Indicators for the Care of Dementia in Vulnerable Elders
Feil, D. G., MacLean, C. H., & Sultzer, D. L. (2007) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01335.x · Cited by 47
“’’(43) Neuroimaging is another test recommended in many guidelines, because it can aid in diagnosing specific types of dementias and uncover other causes of cognitive deficits such as tumor, subdural hematoma, stroke, and normal pressure hydrocephalus.(44,45) The expert panel judged that neuroimaging of all VEs who ar…”
BackgroundStructural Neuroimaging in Aging and Alzheimer's Disease
Vernooij, M. W., & Smits, M. (2012) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2011.11.007 · Cited by 46
“Atrophy rates in patients with MCI are found to be higher than healthy controls but lower than patients with AD, suggesting a continuum of atrophy rate as a function of disease severity.(20,72) MTA needs to be rated in both hemispheres separately to assess the presence and degree of”
BackgroundMethodMulti-scale graph-based grading for Alzheimer’s disease prediction
Hett, K., Ta, V., Oğuz, İ., Manjón, J. V., & Pierrick Coupé, A. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101850 · Cited by 48
Efficient mining of association rules for the early diagnosis of Alzheimer's disease
Chaves, R., Górriz, J. M., Ramı́rez, J., Illán, I. A., Salas-Gonzalez, D., & Gómez-Río, M. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/18/017 · Cited by 46
“Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide (Petrella et al 2003).”
BackgroundZahn, R., Büchert, M., Overmans, J., Talazko, J., Specht, K., Ko, C.-W., Thiel, T., Kaufmann, R., Dykierek, P., Juengling, F. D., et al. (2005) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2005.08.001 · Cited by 45
“Bilateral posterior parieto-temporal, frontal and posterior cingulate/precuneus hypometabolism in our AD group was expected from previous PET studies (Herholz et al., 2002; for reviews, see Herholz, 2003; Lee et al., 2003; Kantarci and Jack, 2003; Petrella et al., 2003).”
ResultPetrella, J. R., Prince, S. E., Krishnan, S., Husn, H., Kelley, L., & Doraiswamy, P. M. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1359 · Cited by 45
“Previous functional MR imaging (fMRI) studies have demonstrated that altered activation patterns in memory-specific brain regions may be a surrogate marker of neural dysfunction in patients with early-stage dementia or in an at-risk groups, such as those with mild cognitive impairment (MCI).(1-5) Such a marker may be…”
BackgroundSelf-citationNeurovascular coupling in Alzheimer patients: Effect of acetylcholine-esterase inhibitors
Rosengarten, B., Paulsen, S., Burr, O., & Kaps, M. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.02.017 · Cited by 43
DenseNet for Anatomical Brain Segmentation
Gottapu, R. D., & Dağli, C. H. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.10.327 · Cited by 43
Giesel, F. L., Hahn, H. K., Thomann, P. A., Widjaja, E., Wignall, E. L., von Tengg‐Kobligk, H., Pantel, J., Griffiths, P. D., Peitgen, H., Schröder, J., et al. (2006) · PubMed Central · Cited by 41
Li, Y.-D., Dong, H.-B., Xie, G.-M., & Zhang, L.-J. (2013) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317513494452 · Cited by 42
Neurogenic control of parenchymal arterioles in the cerebral cortex
Hotta, H. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.03.001 · Cited by 41
The Culprit Is in the Cave: The Core Sites Explain the Binding Profiles of Amyloid-Specific Tracers
Murugan, N. A., Halldin, C., Nordberg, A. K., Långström, B., & Ågren, H. (2016) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.6b01586 · Cited by 39
Metadata
- Authors
- Petrella, J. R., Coleman, R. E., & Doraiswamy, P. M.
- Affiliations
- Duke Medical Center (US)
- Venue
- Radiology
- Published
- 2003-02
- Volume
- 226
- Issue
- 2
- Pages
- 315-336
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2144803285
- Cited by
- 427
- References
- 145
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 11 · 2023: 13 · 2022: 12 · 2021: 12 · 2020: 46 · 2019: 13 · 2018: 24 · 2017: 9 · 2016: 13 · 2015: 16 · 2014: 18 · 2013: 23 · 2012: 27
- FWCI
- 3.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (R01AG019728)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- Alzheimer's disease, early diagnosis, neuroimaging, hippocampal atrophy, entorhinal cortex atrophy, volumetric MRI, positron emission tomography, single-photon emission CT, differential diagnosis of dementia, prodromal Alzheimer's disease, treatment monitoring, dementia progression
- MeSH terms
- Alzheimer Disease, Diagnosis, Differential, Diagnostic Imaging, Humans, Magnetic Resonance Imaging, Predictive Value of Tests, Tomography, Emission-Computed, Tomography, X-Ray Computed, Tomography, Emission-Computed, Single-Photon
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