Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease - PubMed (original) (raw)
Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease
S Lehéricy et al. AJNR Am J Neuroradiol. 1994 May.
Abstract
Purpose: To evaluate the accuracy of hippocampal and amygdala volume measurements in diagnosing patients in the early stages of Alzheimer disease.
Methods: Measurements of the hippocampal formation, amygdala, amygdalohippocampal complex (the two measurements summed), caudate nucleus, and ventricles, normalized for total intracranial volume, were obtained on coronal sections (1.5 T, 400/13 [repetition time/echo time], 5 mm) of 13 patients in the mild (minimental status > or = 21) and five patients in the moderate stages of Alzheimer disease (10 < minimental status < 21), and eight age-matched control subjects.
Results: For patients with a minimental status score of 21 or greater, atrophy was significant for the amygdala and hippocampal formation (-36% and -25% for amygdala/total intracranial volume and hippocampal formation/total intracranial volume, respectively), but not for the caudate nucleus. No significant ventricular enlargement was found. For patients with a minimental status score less than 21, atrophy was more severe in all structures studied (amygdala/total intracranial volume, -40%; hippocampal formation/total intracranial volume, -45%; caudate nucleus/total intracranial volume, -21%), and ventricles were enlarged (63%). No overlap was found between Alzheimer disease and control values for the amygdalohippocampal volume, even in the mild stages of the disease. In Alzheimer disease patients, hippocampal formation volumes correlated with the minimental status.
Conclusion: Hippocampal and amygdala atrophy is marked and significant in the mild stages of Alzheimer disease. Volumetric measurements of the amygdala and the amygdalohippocampal complex appear more accurate than those of the hippocampal formation alone in distinguishing patients with Alzheimer disease.
Similar articles
- A quantitative MR study of the hippocampal formation, the amygdala, and the temporal horn of the lateral ventricle in healthy subjects 40 to 90 years of age.
Mu Q, Xie J, Wen Z, Weng Y, Shuyun Z. Mu Q, et al. AJNR Am J Neuroradiol. 1999 Feb;20(2):207-11. AJNR Am J Neuroradiol. 1999. PMID: 10094339 Free PMC article. - Measurements of the amygdala and hippocampus in pathologically confirmed Alzheimer disease and frontotemporal lobar degeneration.
Barnes J, Whitwell JL, Frost C, Josephs KA, Rossor M, Fox NC. Barnes J, et al. Arch Neurol. 2006 Oct;63(10):1434-9. doi: 10.1001/archneur.63.10.1434. Arch Neurol. 2006. PMID: 17030660 - Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people.
den Heijer T, Geerlings MI, Hoebeek FE, Hofman A, Koudstaal PJ, Breteler MM. den Heijer T, et al. Arch Gen Psychiatry. 2006 Jan;63(1):57-62. doi: 10.1001/archpsyc.63.1.57. Arch Gen Psychiatry. 2006. PMID: 16389197 - Amygdala-hippocampal atrophy and memory performance in dementia of Alzheimer type.
Heun R, Mazanek M, Atzor KR, Tintera J, Gawehn J, Burkart M, Gänsicke M, Falkai P, Stoeter P. Heun R, et al. Dement Geriatr Cogn Disord. 1997 Nov-Dec;8(6):329-36. doi: 10.1159/000106651. Dement Geriatr Cogn Disord. 1997. PMID: 9370084 - Magnetic resonance analysis of amygdalar volume in Alzheimer's disease.
Horínek D, Varjassyová A, Hort J. Horínek D, et al. Curr Opin Psychiatry. 2007 May;20(3):273-7. doi: 10.1097/YCO.0b013e3280ebb613. Curr Opin Psychiatry. 2007. PMID: 17415082 Review.
Cited by
- Association of CSF biomarkers with MRI brain changes in Alzheimer's disease.
Seidu NM, Kern S, Sacuiu S, Sterner TR, Blennow K, Zetterberg H, Lindberg O, Ferreira D, Westman E, Zettergren A, Skoog I. Seidu NM, et al. Alzheimers Dement (Amst). 2024 Feb 23;16(1):e12556. doi: 10.1002/dad2.12556. eCollection 2024 Jan-Mar. Alzheimers Dement (Amst). 2024. PMID: 38406609 Free PMC article. - Associations of brain morphology with cortical proteins of cognitive resilience.
Poole VN, Ridwan AR, Arfanakis K, Dawe RJ, Seyfried NT, De Jager PL, Schneider JA, Leurgans SE, Yu L, Bennett DA. Poole VN, et al. Neurobiol Aging. 2024 May;137:1-7. doi: 10.1016/j.neurobiolaging.2024.02.005. Epub 2024 Feb 15. Neurobiol Aging. 2024. PMID: 38394722 - Neuroimaging Markers for Determining Former American Football Players at Risk for Alzheimer's Disease.
Baragi VM, Gattu R, Trifan G, Woodard JL, Meyers K, Halstead TS, Hipple E, Haacke EM, Benson RR. Baragi VM, et al. Neurotrauma Rep. 2022 Sep 22;3(1):398-414. doi: 10.1089/neur.2022.0020. eCollection 2022. Neurotrauma Rep. 2022. PMID: 36204386 Free PMC article. - Agreement and Reliability between Clinically Available Software Programs in Measuring Volumes and Normative Percentiles of Segmented Brain Regions.
Song H, Lee SA, Jo SW, Chang SK, Lim Y, Yoo YS, Kim JH, Choi SH, Sohn CH. Song H, et al. Korean J Radiol. 2022 Oct;23(10):959-975. doi: 10.3348/kjr.2022.0067. Korean J Radiol. 2022. PMID: 36175000 Free PMC article. - Psychosocial Risk Factors for Alzheimer's Disease in Patients with Down Syndrome and Their Association with Brain Changes: A Narrative Review.
Hamadelseed O, Elkhidir IH, Skutella T. Hamadelseed O, et al. Neurol Ther. 2022 Sep;11(3):931-953. doi: 10.1007/s40120-022-00361-9. Epub 2022 May 21. Neurol Ther. 2022. PMID: 35596914 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical