Neuroanatomy of Alzheimer's Disease and Late-Life Depression: A Coordinate-Based Meta-Analysis of MRI Studies

Journal of Alzheimer's Disease

Volumn 46, Issue 4, 2015, Pages 963-970

  Boccia, Maddalena ^a,b   Acierno, Mauro ^c   Piccardi, Laura ^b,c  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^c UNIVERSITY OF L'AQUILA   (Italy)

Author keywords

Aging; Alzheimer's disease; dementia; late life depression; magnetic resonance imaging; neuroimaging; voxel based morphometry

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; BRAIN ATROPHY; BRAIN SIZE; DIFFERENTIAL DIAGNOSIS; FRONTAL CORTEX; GRAY MATTER; HIPPOCAMPUS; HUMAN; LATE LIFE DEPRESSION; META ANALYSIS (TOPIC); NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTERIOR CINGULATE; PRECUNEUS; PRIORITY JOURNAL; SUPERIOR FRONTAL GYRUS; BIBLIOGRAPHIC DATABASE; BRAIN; DEPRESSION; FEMALE; IMAGE PROCESSING; MALE; META ANALYSIS; PATHOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ALZHEIMER DISEASE; BRAIN; DATABASES, BIBLIOGRAPHIC; DEPRESSION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MALE;

EID: 84942887510     PISSN: 13872877     EISSN: 18758908     Source Type: Journal    
DOI: 10.3233/JAD-142955     Document Type: Article

References (33)

1. Curran EM, Loi S, 2012 Depression and dementia. MJA Open 1 Suppl 4 40 43
2. Korczyn AD, Halperin I, 2009 Depression and dementia. J Neurol Sci 283 139 142
3. Richard E, Reitz C, Honig LS, Schupf N, Tang MX, Manly JJ, Mayeux R, Devanand D, Luchsinger JA, 2013 Late life depression, mild cognitive impairment and dementia. JAMA Neurol 70 374 382
4. Diniz BS, Butters MA, Albert SM, Dew MA, Reynolds CF, 2013 Late-life depression and risk of vascular dementia and Alzheimer's disease: Systematic review and meta-analysis of community-based cohort studies. Br J Psychiatry 202 329 335
5. Mirza SS, de Bruijn RFAG, Direk N, Hofman A, Koudstaal PJ, Arfan Ikram M, Tiemeier H, 2014 Depressive symptoms predict incident dementia during short-but not long-term follow-up period. Alzheimers Dement 10 S323 S329
6. Kral VA, 1982 Depressive pseudodementia and Alzheimer's disease - A pilot study. Nervenarzt 53 284 286
7. Bondi MW, Jak AJ, Delano-Wood L, Jacobson MW, Delis DC, Salmon DP, 2008 Neuropsychological contributions to the early identification of Alzheimer's disease. Neuropsychol Rev 18 73 90
8. Godefroy O, Martinaud O, Verny M, Mosca C, Lenoir H, Bretault E, Roussel M, 2014 The dysexecutive syndrome of Alzheimer's disease: The GREFEX study. J Alzheimers Dis 42 1203 1208
9. Boccia M, Silveri MC, Guarilgia C, 2014 Visuo-perceptive priming in Alzheimer's disease: Evidence for a multi-componential implicit memory system. J Alzheimers Dis 40 455 463
10. Bianchini F, Di Vita A, Palermo L, Piccardi L, Blundo C, Guariglia C, 2014 A selective egocentric topographical working memory deficit in the early stages of Alzheimer's disease: A preliminary study. Am J Alzheimers Dis Other Demen 29 749 754
11. Stromnes DG, Lars T, Kjetil S, Lodoen GT, Magne BT, 2013 Neuropsychological functioning in late-life depression. Front Psychol 4 381
12. Sheline YI, Barch DM, Garcia K, Gersing K, Pieper C, Welsh-Bohmer K, Steffens DC, Doraiswamy PM, 2006 Cognitive function in late life depression: Relationships to depression severity, cerebrovascular risk factors and processing speed. Biol Psychiatry 60 58 65
13. Herrmann LL, Goodwin GM, Ebmeier KP, 2007 The cognitive neuropsychology of depression in the elderly. Psychol Med 37 1693 1702
14. Braak H, Braak E, 1991 Neuropathological staging of Alzheimer-related changes. Acta Neuropathol 82 239 259
15. Brewer JB, Moghekar A, 2002 Imaging the medial temporal lobe: Exploring new dimensions. Trends Cogn Sci 6 217 223
16. Schroeter ML, Stein T, Maslowski N, Neumann J, 2009 Neural correlates of Alzheimer's disease and mild cognitive impairment: A systematic and quantitative meta-analysis involving 1351 patients. Neuroimage 47 1196 1206
17. Ribeiz SRI, Duran F, Oliveira MC, Bezerra D, Castro CC, Steffens DC, Busatto Filho G, Bottino CMC, 2013 Structural brain changes as biomarkers and outcome predictors in patients with late-life depression: A cross-sectional and prospective study. PLoS One 8 e80049
18. Ballmaier M, Toga AW, Blanton RE, Sowell ER, Lavretsky H, 2004 Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: An MRI-based parcellation of the prefrontal cortex. Am J Psychiatry 161 99 108
19. van de Pol LA, Hensel A, Barkhof F, Gertz HJ, Scheltens P, van der Flier WM, 2006 Hippocampal atrophy in Alzheimer disease: Age matters. Neurology 66 236 238
20. Egger K, Schocke M, Weiss E, Auffinger S, Esterhammer R, Goebel G, Walch T, Mechtcheriakov S, Marksteiner J, 2008 Pattern of brain atrophy in elderly patients with depression revealed by voxel-based morphometry. Psychiatry Res 164 237 244
21. Hsieh MH, McQuoid DR, Levy RM, Payne ME, MacFall JR, Steffens DC, 2002 Hippocampal volume and antidepressant response in geriatric depression. Int J Geriatr Psychiatry 17 519 525
22. Ashtari M, Greenwald BS, Kramer-Ginsberg E, Hu J, Wu H, Patel M, Aupperle P, Pollack S, 1999 Hippocampal/amygdala volumes in geriatric depression. Psychol Med 29 629 638
23. Kito H, Ryokawa A, Kinoshita Y, Sasayama D, Sugiyama N, Ogihara T, Yasaki T, Hagiwara T, Inuzuka S, Takahashi T, Genno H, Nose H, Hanihara T, Washizuka S, Amano N, 2014 Comparison of alterations in cerebral hemoglobin oxygenation in late life depression and Alzheimer's disease as assessed by near-infrared spectroscopy. Behav Brain Func 10 8
24. Eickhoff SB, Laird AR, Grefkes C, Wang LE, Zilles K, Fox PT, 2009 Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty. Hum Brain Mapp 30 2907 2926
25. Nickl-Jockschat T, Habel U, Michel TM, Manning J, Laird AR, Fox PT, Schneider F, Eickhoff SB, 2012 Brain structure anomalies in autism spectrum disorder: A meta-analysis of VBM studies using anatomic likelihood estimation. Hum Brain Mapp 33 1470 1489
26. Boccia M, Nemmi F, Guariglia C, 2014 Neuropsychology of environmental navigation in humans: Review and meta-analysis of fMRI studies in healthy participants. Neuropsychol Rev 24 236 251
27. Jacobs H, van Boxtel MP, Gronenschild EH, Uylings HB, Jolles J, Verhey FR, 2013 Decreased gray matter diffusivity: A potential early Alzheimer's disease biomarker? Alzheimers Dement 9 93 97
28. Zhou Y, Dougherty JH, Hubner KF, Bai B, Cannon RL, Hutson RK, 2008 Abnormal connectivity in the posterior cingulate and hippocampus in early Alzheimer's disease and mild cognitive impairment. Alzheimers Dement 4 265 270
29. Butters MA, Klunk WE, Mathis CA, Price JC, Ziolko SK, Hoge JA, Tsopelas ND, Lopresti BJ, Reynolds CF, DeKosky ST, Meltzer CC, 2008 Imaging Alzheimer pathology in late-life depression with PET and Pittsburgh Compound-B. 22 261 268
30. Herrmann LL, Le Masurier M, Ebmeier KP, 2008 White matter hyperintensities in late life depression: A systematic review. J Neurol Neurosurg Psychiatry 79 619 624
31. Ha S, Youn YC, Kim SY, Hsiung GR, Ahn S, Shin S, Park K, Park TH, Kim S, Kee BS, Kwon O, 2012 A voxel-based morphometric study of cortical gray matter volume changes in Alzheimer's disease with white matter hyperintensities. J Clin Neurosci 19 1506 1510
32. Raz N, Rodrigue KM, Kennedy KM, Acker JD, 2007 Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. Neuropsychology 21 149 157
33. Sachdev P, Wen W, Chen X, Brodaty H, 2007 Progression of white matter hyperintensities in elderly individuals over 3 years. Neurology 68 214 222