Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer Dement 7:270–279
Alexander-Bloch A, Giedd JN, Bullmore E (2013) Imaging structural co-variance between human brain regions. Nat Rev Neurosci. 14:322–36
Article CAS PubMed PubMed Central Google Scholar
Bakkour A, Morris JC, Dickerson BC (2009) The cortical signature of prodromal AD: regional thinning predicts mild AD dementia. Neurology 72:1048–1055
Article PubMed PubMed Central Google Scholar
Barile B, Ashtari P, Stamile C, Marzullo A, Maes F, Durand-Dubief F et al (2022) Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Front Robot AI 9:1–18
Bassett DS, Bullmore E, Verchinski BA, Mattay VS, Weinberger DR, Meyer-Lindenberg A (2008) Hierarchical organization of human cortical networks in health and Schizophrenia. J Neurosci. 28:9239–48. Available at www.sph.s.c.edu/comd/rorden/mricro.html
Bernstein AS, Rapcsak SZ, Hornberger M, Saranathan M, Initiative ADN (2021) Structural changes in thalamic nuclei across prodromal and clinical Alzheimer’s disease. J Alzheimer Dis 82:361–371
Bhavani R, Vasanth K (2023) Brain image fusion-based tumour detection using grey level co-occurrence matrix Tamura feature extraction with backpropagation network classification. Math Biosci Eng 20:8727–8744
Article CAS PubMed Google Scholar
Brucki SMD, Nitrini R, Caramelli P, Bertolucci PHF, Okamoto IH (2003) Sugestões para o uso do mini-exame do estado mental no Brasil. Arq Neuropsiquiatr 61:777–781
Bullmore E, Sporns O (2009) Complex brain networks: Graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10:186–98. Available at www.nature.com/reviews/neuro
Castellano G, Bonilha L, Li LM, Cendes F (2004) Texture analysis of medical images. Clin Radiol 59:1061–1069
Article CAS PubMed Google Scholar
Chételat G, Fouquet M, Kalpouzos G, Denghien I, De la Sayette V, Viader F et al (2008) Three-dimensional surface mapping of hippocampal atrophy progression from MCI to AD and over normal aging as assessed using voxel-based morphometry. Neuropsychologia 46:1721–1731
da Silveira RV, Li LM, Castellano G (2023) Texture-based brain networks for characterization of healthy subjects from MRI. Sci Rep. 13:16421. https://doi.org/10.1038/s41598-023-43544-6
Article CAS PubMed PubMed Central Google Scholar
de Flores R, La Joie R, Chételat G (2015) Structural imaging of hippocampal subfields in healthy aging and Alzheimer’s disease. Neuroscience 309:29–50
De Oliveira MS, Balthazar MLF, D’Abreu A, Yasuda CL, Damasceno BP, Cendes F et al (2011) MR imaging texture analysis of the corpus callosum and thalamus in amnestic mild cognitive impairment and mild alzheimer disease. Am J Neuroradiol 32:60–66
Article PubMed PubMed Central Google Scholar
Dennis EL, Thompson PM (2014) Functional brain connectivity using fMRI in aging and Alzheimer’s disease. Neuropsychol Rev 24:49–62
Article PubMed PubMed Central Google Scholar
Ekstrand C, Neudorf J, Kress S, Borowsky R (2020) Structural connectivity predicts functional activation during lexical and sublexical reading. Neuroimage 218:117008
Feng Q, Ding Z (2020) MRI radiomics classification and prediction in alzheimer’s disease and mild cognitive impairment: a review. Curr Alzheimer Res 17:297–309
Article CAS PubMed Google Scholar
Finotelli P, Forlim CG, Klock L, Pini A, Bächle J, Stoll L, et al (2019) New graph-theoretical-multimodal approach using temporal and structural correlations reveals disruption in the thalamo-cortical network in patients with schizophrenia. Brain Connect 9:760–9. Available at: https://www.liebertpub.com/doi/10.1089/brain.2018.0654
Fjell AM, Amlien IK, Westlye LT, Walhovd KB (2009) Mini-mental state examination is sensitive to brain atrophy in alzheimer’s disease. Dement Geriatr Cogn Disord 28:252–258
Article CAS PubMed Google Scholar
Hachinski V, Iadecola C, Petersen RC, Breteler MM, Nyenhuis DL, Black SE et al (2006) National institute of neurological disorders and stroke-Canadian stroke network vascular cognitive impairment harmonization standards. Stroke 37:2220–2241
Hänggi J, Streffer J, Jäncke L, Hock C (2011) Volumes of lateral temporal and parietal structures distinguish between healthy aging, mild cognitive impairment, and Alzheimer’s disease. J Alzheimer Dis 26:719–734
Haralick RM (1979) Statistical and structural approaches to texture. Proc IEEE 67:786–804
Haralick RM, Dinstein I, Shanmugam K (1973) Textural features for image classification. IEEE Trans Syst Man Cybern SMC 3:610–21
Jack CR, Bennett DA, Blennow K, Carrillo MC, Feldman HH, Frisoni GB et al (2016) A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology 87:539–547
Article CAS PubMed PubMed Central Google Scholar
Jacobs HIL, Van Boxtel MPJ, Jolles J, Verhey FRJ, Uylings HBM (2012) Parietal cortex matters in Alzheimer’s disease: an overview of structural, functional and metabolic findings. Neurosci Biobehav Rev. 36:297–309. https://doi.org/10.1016/j.neubiorev.2011.06.009
Kassner A, Thornhill RE (2010) Texture analysis: a review of neurologic MR imaging applications. Am J Neuroradiol 31:809–816
Article CAS PubMed PubMed Central Google Scholar
Kim HJ, Yoon DY, Kim ES, Lee K, Bae JS, Lee JH (2016) The 100 most-cited articles in neuroimaging: a bibliometric analysis. Results Phys 139:149–156
Lerch JP, Worsley K, Shaw WP, Greenstein DK, Lenroot RK, Giedd J et al (2006) Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. Neuroimage 31:993–1003
Liss JL, Seleri Assunção S, Cummings J, Atri A, Geldmacher DS, Candela SF, et al. Practical recommendations for timely, accurate diagnosis of symptomatic Alzheimer’s disease (MCI and dementia) in primary care: a review and synthesis. J Intern Med: 310–34
Liu J, Tan G, Lan W, Wang J (2020) Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. BMC Bioinform. 21:1–12. https://doi.org/10.1186/s12859-020-3437-6
Low A, Mak E, Malpetti M, Chouliaras L, Nicastro N, Su L et al (2019) Asymmetrical atrophy of thalamic subnuclei in Alzheimer’s disease and amyloid-positive mild cognitive impairment is associated with key clinical features. Alzheimer Dement Diagnos Assess Dis Monit 11:690–699
Madusanka N, Choi H-K, So J-H, Choi B-K (2018) Alzheimer’s disease classification based on multi-feature fusion. Curr Med Imaging Form Curr Med Imaging Rev 15:161–169
Magalhães TNC, Gerbelli CLB, Pimentel-Silva LR, de Campos BM, de Rezende TJR, Rizzi L et al (2022) Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study. Neuroradiology 64:141–150
McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR, Kawas CH et al (2011) The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer Dement 7:263–269
Merkley TL, Larson MJ, Bigler ED, Good DA, Perlstein WM (2013) Structural and functional changes of the cingulate gyrus following traumatic brain injury: relation to attention and executive skills. J Int Neuropsychol Soc 19:899–910
Mesulam MM, Rogalski EJ, Wieneke C, Hurley RS, Geula C, Bigio EH et al (2014) Primary progressive aphasia and the evolving neurology of the language network. Nat Rev Neurol 10:554–569
Article PubMed PubMed Central Google Scholar
Morris JC (1993) The clinical dementia rating (CDR). Neurology 43:2412.2-2412.a
Nenadić I, Katzmann I, Besteher B, Langbein K, Güllmar D (2020) Diffusion tensor imaging in borderline personality disorder showing prefrontal white matter alterations. Compr Psychiatry 101:152172
留言 (0)