A longitudinal observation of brain structure between AD and FTLD
Introduction
Alzheimer’s disease (AD) and frontotemporal lobar degeneration (FTLD) are the leading causes of dementia [1]. Symptoms of AD and FTLD are heterogeneous and can overlap, leading to a high misdiagnosis rate. For accurate differentiation, previous clinical and research criteria both emphasized the diagnostic strength of biomarkers, which included structural magnetic resonance imaging (MRI). Brain atrophy on MRI is the macroscopic manifestation of microscopic neurodegenerative changes, reflecting the cumulative loss of neurons, synapses, and dendritic arborization. [2], [3].
Previous studies have already suggested that AD and FTLD show distinct brain atrophy patterns. Although the atrophy pattern of AD remains controversial due to the various results from different cohorts, studies based on autopsy subjects found that AD patients show atrophy in a relatively diffuse and symmetric pattern, with most atrophy predominant in the bilateral medial temporal lobes, posterior cingulate cortex, precuneus and temporoparietal association regions [4], [5], [6]. FTLD patients show atrophy most predominantly in the frontal and anterior temporal lobes [7]. Additionally, it has already been recognized that AD and FTLD show different cognitive domain involvement, and FTLD patients maintain a relatively better reservation of daily living function for a longer time. In summary, it has been generally accepted that AD and FTLD progress in different patterns with characteristic cognitive domains affected by specific anatomical changes in the brain.
Therefore, based on the previous evidence, we hypothesized that AD patients show brain atrophy in a more diffuse way, while FTLD patients show relatively limited regional brain atrophy so that their functional networks are relatively preserved, which might explain their better preservation of daily living function. Therefore, we analyzed the changes in brain volume on MRI and psychological test results. Here, we report longitudinal observations of brain structure.
To accurately analyze the anatomical changes between the diseases, we applied automated methods to reach an objective result. Nonlinear registration of serial MRI scans provides a means of modeling changes over the whole brain. Repeat scans can be matched onto baseline images by using voxel-level deformation fields estimated using nonlinear image registration algorithms [12]. Using nonlinear image registration algorithms, Jacobian determinants could be computed to quantify the longitudinal volume changes of individual subjects at a voxel level. We used this technique to investigate longitudinal changes in individuals with AD and FTLD. This model has also been validated against manual volumetric measurements for the automated regional segmentation of serial scans. Thus, it provides us with a useful tool in future research.
Section snippets
Subjects
Patients were enrolled from a population attending the outpatient dementia clinic of our hospital. Patients diagnosed with AD and FTLD were followed up after the informed agreement of the patients and family members. The clinical diagnosis of AD was based on the 2011 NIA-AA criteria [13], and FTLD was diagnosed by the Neary criteria [14]. All patients underwent a neuropsychological examination (described below in detail). MRI with a standardized protocol was obtained from all subjects and they
Demographic characteristics and neuropsychological assessment
Patient characteristics and cognitive profiles are presented in Table 1 and Table 2. Comparisons showed that the two groups were equivalent in years of formal education, gender and scores of anxiety and depression on the HADS. The AD patients’ age of disease onset (means ± SD (years), 70.23 ± 11.7770) was older than that for FTLD (58.13 ± 7.549). For the neuropsychological assessment, there was no significant difference between AD and FTLD in the performance on the MMSE, MOCA, ADL or CDR.
Volume change in AD
In AD
Discussion
As previous studies reported, atrophy on MRI correlates with pathological changes, including Braak stage, NFT load in AD and the loss of neurons and synapses [2], [26], [27], [28]. To better understand the mechanism of these diseases, we observed longitudinal changes, including cognitive decline characteristics and atrophy patterns in MRI. Here, we report the longitudinal MRI progression in AD and FTLD patients.
The analysis revealed no significant differences in sex, depression or anxiety
Ethics statement
This study was approved by the Ethics Committee of the Institute of Basic Medical Sciences Chinese Academy of Medical Sciences & School of Basic Medicine Peking Union Medical College, with the number 2017006.
CRediT authorship contribution statement
Jing Gao led the study design and retrieved the data, with support from Qi Xu, Liying Cui and Feng Feng. Data collection was performed by Bo Hou, Caiyan Liu, Liling Dong, Chenhui Mao, Jie Li, Xinying Huang, Dan Lei and Jie Wang. Data analysis was performed by Yong Fan. Manuscript writing was led by Jie Li, with support from Jing Gao.
Acknowledgments
This work was supported by the National Key Research and Development Program of China [2020YFA0804500, 2016YFC1306300], CAMS Innovation Fund for Medical Sciences (CIFMS) (No. 2020-I2M-C&T-B-010, 2016-I2M-1-004), National Natural Science Foundation of China [81550021, 30470618], and the strategic priority research program (Pilot study) ‘biological basis of aging and therapeutic strategies’ of the Chinese Academy of Sciences [grant XDPB10].
Conflict of interest
There was no conflict of interest.
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