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Accelerating Structural Degeneration in Temporal Regions and Their Effects on Cognition in Aging of MCI Patients

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Alzheimer’s Disease Segmentation and Classification on MRI Brain Images Using Enhanced Expectation Maximization Adaptive Histogram (EEM-AH) and Machine Learning.

Ramya, J., Maheswari, B. U., Rajakumar, M. P., & Sonia, R. (2022) · Information Technology And Control · doi:10.5755/j01.itc.51.4.28052 · Cited by 29

Mild cognitive impairment (part 2): biological markers for diagnosis and prediction of dementia in Alzheimer's disease

Forlenza, O. V., Diniz, B. S., Teixeira, A. L., Stella, F., & Gattaz, W. F. (2013) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2012-3505 · Cited by 31

Translational MRI Volumetry with NeuroQuant: Effects of Version and Normative Data on Relationships with Memory Performance in Healthy Older Adults and Patients with Mild Cognitive Impairment

Stelmokas, J., Yassay, L., Giordani, B., Dodge, H. H., Dinov, I. D., Bhaumik, A., Sathian, K., & Hampstead, B. M. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170306 · Cited by 24

Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment

Zhao, T., Sheng, C., Bi, Q., Niu, W., Shu, N., & Han, Y. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.08.005 · Cited by 27

Multimodal Discrimination of Alzheimer’s Disease Based on Regional Cortical Atrophy and Hypometabolism

Yun, H. J., Kwak, K., Lee, J., & Initiative, A. D. N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129250 · Cited by 26

Changes in regional brain volumes in social anxiety disorder following 12 weeks of treatment with escitalopram

Cassimjee, N., Fouche, J.-P., Burnett, M., Löchner, C., Warwick, J., Dupont, P. J., Stein, D. J., Cloete, K. J., & Carey, P. D. (2010) · Metabolic Brain Disease · doi:10.1007/s11011-010-9218-6 · Cited by 26

Disrupted Thalamus White Matter Anatomy and Posterior Default Mode Network Effective Connectivity in Amnestic Mild Cognitive Impairment

Alderson, T. H., Kehoe, E. G., Maguire, L., Farrell, D., LAWLOR, B. A., Kenny, R. A., Lyons, D., Bokde, A. L. W., & Coyle, D. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00370 · Cited by 27

Changes in Cortical Activation during Retrieval of Clock Time Representations in Patients with Mild Cognitive Impairment and Early Alzheimer’s Disease

Leyhe, T., Erb, M., Milian, M., Eschweiler, G. W., Ethofer, T., Grodd, W., & Saur, R. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000197930 · Cited by 26

Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression

Aghajanian, S., Mohammadifard, F., Mohammadi, I., Firouzabadi, S. R., Bagheri, A. B., Ghaffary, E. M., & Mirmosayyeb, O. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01827-2 · Cited by 25

Atrophy and structural covariance of the cholinergic basal forebrain in primary progressive aphasia.

Teipel, S., Raiser, T., Riedl, L., Riederer, I., Schroeter, M., Bisenius, S., Schneider, A., Kornhuber, J., Fliessbach, K., Spottke, A., et al. (2016) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2016.07.004 · Cited by 25

Low episodic memory performance in cognitively normal elderly subjects is associated with increased posterior cingulate gray matter N-acetylaspartate: a 1H MRSI study at 7 Tesla

Schreiner, S. J., Kirchner, T., Wyss, M., Bergen, J. M. G. V., Quevenco, F. C., Steininger, S. C., Griffith, E. Y., Meier, I. B., Michels, L., Gietl, A. F., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.022 · Cited by 25

Positional Brain Deformation Visualized With Magnetic Resonance Morphometry

Schnaudigel, S., Preul, C., Ugur, T., Mentzel, H. J., Witte, O. W., Tittgemeyer, M., & Hagemann, G. (2010) · Neurosurgery · doi:10.1227/01.neu.0000363704.74450.b4 · Cited by 25

Changes in the language system as amyloid-β accumulates

Reinartz, M., Gabel, S., Schaeverbeke, J. M., Meersmans, K., Adamczuk, K., Luckett, E. S., Meyer, S. D., Laere, K. V., Sunaert, S. G., Dupont, P. J., et al. (2021) · Brain · doi:10.1093/brain/awab335 · Cited by 26

Episodic Memory in Amnestic Mild Cognitive Impairment (aMCI) and Alzheimer’s Disease Dementia (ADD): Using the “Doors and People” Tool to Differentiate between Early aMCI—Late aMCI—Mild ADD Diagnostic Groups

Chatzikostopoulos, A., Μoraitou, D., Tsolaki, M., Masoura, E. V., Παπαντωνίου, Γ., Sofologi, M., Papaliagkas, V. T., Kougioumtzis, G. Α., & Papatzikis, E. (2022) · Diagnostics · doi:10.3390/diagnostics12071768 · Cited by 28

Lower Choline and Myo-Inositol in Temporo-Parietal Cortex Is Associated With Apathy in Amnestic MCI

Tumati, S., Opmeer, E. M., Marsman, J.-B. C., Martens, S., Reesink, F. E., Deyn, P. P. D., & Aleman, A. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00106 · Cited by 24

Longitudinal imaging in dementia

Scahill, R. I., & Fox, N. C. (2007) · British Journal of Radiology · doi:10.1259/bjr/78981552 · Cited by 24

Fornix White Matter is Correlated with Resting-State Functional Connectivity of the Thalamus and Hippocampus in Healthy Aging but Not in Mild Cognitive Impairment – A Preliminary Study

Kehoe, E. G., Farrell, D., Metzler‐Baddeley, C., LAWLOR, B. A., Kenny, R. A., Lyons, D., McNulty, J. P., Mullins, P. G., Coyle, D., & Bokde, A. L. W. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00010 · Cited by 24

Correlation between cognitive function and the association fibers in patients with Alzheimer’s disease using diffusion tensor imaging

Meng, J.-Z., Guo, L., Cheng, H., Chen, Y., Fang, L., Qi, M., Jia, Z., Mohammed, W., & Hong, X. (2012) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2011.12.031 · Cited by 23

Is there a significant interaction effect between apolipoprotein E rs405509 T/T and ε4 genotypes on cognitive impairment and gray matter volume?

Ma, C., Zhang, Y., Li, X., Zhang, J., Chen, K., Liang, Y., Chen, Y., Liu, Z., & Zhang, Z. (2016) · European Journal of Neurology · doi:10.1111/ene.13052 · Cited by 23

S3–01–01: Monitoring changes in brain anatomy with time

Baron, J. (2006) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2006.05.160 · Cited by 1

O2–02–01: Patterns of atrophy on voxel based morphometry differ between amnestic MCI converters and nonconverters

Whitwell, J. L., Weigand, S. D., Przybelski, S. A., Petersen, R. C., Boeve, B. F., Knopman, D. S., & Jack, C. R. (2007) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.04.035

Longitudinal change of the grey matter of mild congnitive impairment patients over 3 years by using voxel-based morphometry

Yang, H., Liu, W., Xia, H., Zhou, Z. X., & Tong, L. (2012) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2012.6513178 · Cited by 5

Evolution of global and local grey matter atrophy on serial MRI scans during the progression from MCI to AD.

Spulber, G., Niskanen, E., MacDonald, S., Kivipelto, M., Padilla, D., Julkunen, V., Hallikainen, M., Vanninen, R., Wahlund, L., & Soininen, H. (2012) · Current Alzheimer Research · doi:10.2174/156720512800492486 · Cited by 61

Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease

Karas, G. B., Sluimer, J. D., Goekoop, R., van der Flier, W. M., Rombouts, S. A. R. B., Vrenken, H., Scheltens, P., Fox, N. C., & Barkhof, F. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0949 · Cited by 173