Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study
Introduction
Functional neuroimaging studies of Alzheimer’s disease (AD) typically focus on exploring activation (Buckner et al., 2000, Grady et al., 1993, Remy et al., 2005) or deactivation (Rombouts et al., 2005, Lustig et al., 2003) alterations in patients during a task state compared with a baseline state. Many neuroimaging studies also use the resting state to examine AD-related changes in brain activity. For instance, positron emission tomography (PET) and single-photon emission computerized tomography (SPECT) studies have found that AD patients have abnormally low resting cerebral blood flow (CBF) or cerebral metabolic rate for glucose (CMRGlu) in the posterior cingulate, parietal, temporal, and prefrontal cortex (Bokde et al., 2001, Herholz et al., 2002, Ibáñez et al., 1998, Leon et al., 2001, Salmon et al., 2000).
Recently, functional MRI (fMRI) studies have indicated that the pathophysiology of AD can be associated with the changes in spontaneous low-frequency (< 0.08 Hz) blood oxygenation level-dependent (BOLD) fluctuations (LFBF) measured during a resting state. As early as 1995, Biswal et al. (1995) found that spontaneous LFBF measured by resting-state fMRI was highly synchronous within the somatomotor system and concluded that it was physiologically meaningful. Following that study, high LFBF synchrony in healthy adults was also reported within the primary motor (Lowe et al., 1998, Cordes et al., 2001, Jiang et al., 2004), auditory (Cordes et al., 2001), and visual cortices (Kiviniemi et al., 2004, Kiviniemi et al., 2005, Lowe et al., 1998), as well as the nonprimary regions such as hippocampus (Rombouts et al., 2003), language (Hampson et al., 2002) and limbic systems (Greicius et al., 2003, Fox et al., 2005). Several recent studies have suggested that the LFBF can also be employed to characterize the pathophysiological changes of brain disorders, such as multiple sclerosis (Lowe et al., 2002), depression (Anand et al., 2005), schizophrenia (Liu et al., 2006), attention deficit hyperactivity disorder (ADHD) (Zang et al., in press, Cao et al., 2006) and acute brainstem ischemia (Salvador et al., 2005). To our knowledge, only three prior studies have examined AD-related LFBF activity using resting-state fMRI (Li et al., 2002, Maxim et al., 2005, Wang et al., 2006). In the first report, Li et al. (2002) exclusively examined functional synchrony of LFBF in the hippocampus and found it decreased significantly in the AD patients. The second study from Maxim et al. (2005) found that AD patients had greater persistence of resting fMRI noise in the medial and lateral temporal lobes, dorsal cingulate/medial premotor cortex, and insula. A very recent study from our research group found that AD patients showed abnormal hippocampal connectivity during resting state (Wang et al., 2006). Aside from these pure resting-state fMRI studies, using a low-frequency component derived from a simple sensory-motor task, Greicius et al. (2004) found that AD patients exhibited decreased resting-state activity within a default-mode network including the posterior cingulate cortex and inferior parietal lobe. Despite the limited number of reports, such intriguing studies have provided an insight into the pathophysiology of AD by means of spontaneous LFBF measured during rest. Of these, however, only one examined AD-related regional LFBF activity across the entire cortex (Maxim et al., 2005).
The first purpose of this study was to clarify and expand on AD-related regional LFBF changes by examining regional coherence in a pure resting state. Regional coherence was assessed using our previously published regional homogeneity (ReHo) method (Zang et al., 2004). In this study, we postulated that the medial parietal cortex [posterior cingulate cortex (PCC) and precuneus (PCu)] have decreased regional LFBF activity in the early stages of AD because the region is the most common site for AD-related functional changes such as the resting hypometabolism and hypoperfusion (Leon et al., 2001, Salmon et al., 2000, Volkow et al., 2002) and abnormal functional deactivation during the performance of cognitive tasks (Rombouts et al., 2005, Lustig et al., 2003). In addition, we also expected to observe AD-related LFBF changes in the other regions.
However, a number of key issues still remain given that we observed altered LFBF activity in the PCC/PCu and the other regions. The major concern is the possible impact of regional brain atrophy on the functional results. Many studies have indicated that AD patients have more brain tissue atrophy than normal controls in the PCC/PCu, medial temporal cortex, caudate nucleus and medial thalami (Rombouts et al., 2000, Karas et al., 2003, Baron et al., 2001). The brain atrophy may lead to artificial reduction in measured functional signals. While comparing functional differences between AD patients and normal controls, this issue could potentially be crucial due to individual and group differences in the degree of regional atrophy. Several PET studies have suggested that temporoparietal hypometabolism became nonsignificant in the AD patients after accounting for brain atrophy (Chawluk et al., 1990, Tanna et al., 1991). In fMRI studies, a few groups have made an attempt to explore the relationship between regional brain atrophy and functional activation in AD patients during cognitive tasks (Johnson et al., 2000, Prvulovic et al., 2002, Remy et al., 2005). To date, however, no studies have specifically examined the effect of brain atrophy on spontaneous LFBF measurements. Hence, determining the impact of regional atrophy on the LFBF results is the other purpose of this study.
To address these questions, in this resting-state study, we first used the ReHo method (Zang et al., 2004) to explore the changes of AD-related regional LFBF activity in the whole brain. The behavioral correlates of the LFBF activity were further examined in the AD patient group. Finally, the atrophy of the regions showing significant between-group ReHo difference was measured for each subject and its impact on the LFBF results was statistically evaluated.
Section snippets
Subjects
Thirty subjects participated in this study. The 15 AD patients were recruited from Xuanwu Hospital, Capital Medical University. The 15 healthy elderly controls were recruited by advertisements from the local community. The elderly controls group and the AD group were matched by age (within 2 years) and gender. The older adults were assessed clinically with the Clinical Dementia Rating (CDR) score (Morris, 1993) as nondemented (CDR = 0) and the early stages of AD (7 participants with CDR = 0.5 and 8
Results
Characteristics of the AD patients and the normal controls are shown in Table 1. There were no significant differences between the AD patients and normal controls in gender, age, handedness and years of education, but the MMSE scores were significantly different (P < 0.0001) between the two groups. Examination of movement parameters demonstrated that there were no significant differences (translation: t = 1.6, P = 0.19; rotation: t = 1.22, P = 0.23) in the degree of head motion between the AD patient
Discussion
Our study investigates AD-related LFBF changes and the impact of regional brain atrophy on the LFBF results. Compared with healthy controls, the AD patients showed decreased regional coherence (i.e. ReHo) in the PCC/PCu and increased coherence in the occipital and temporal lobe, including the bilateral cuneus, right LG and left FG. In addition, we also found that the PCC/PCu LFBF coherence reduces with the progress of the disease. Most importantly, these results still remain significant after
Acknowledgments
The authors would like to thank Dr. Chaozhe Zhu for providing his procedure concerning brain tissue segmentation and Mrs. Yuan Zhou for helpful comments. They would also like to thank Professor Keith Worsley of the Department of Mathematics and Statistics, McGill University and Mr. Zhang (John) Chen of the Montreal Neurological Institute, McGill University for their assistance in editing the manuscript. This work was partially supported by the Natural Science Foundation of China, Grant Nos.
References (69)
- et al.
Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study
Biol. Psychiatry
(2005) - et al.
In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer’s disease
NeuroImage
(2001) - et al.
Similarities and differences in the neural correlates of episodic memory retrieval and working memory
NeuroImage
(2002) - et al.
The effect of focal cerebral atrophy in positron emission tomographic studies of aging and dementia
Radiation
(1990) AFNI software for analysis and visualization of functional magnetic resonance neuroimages
Comput. Biomed. Res.
(1996)- et al.
Activation of cerebral blood flow during a visuoperceptual task in patients with Alzheimer-type dementia
Neurobiol. Aging
(1993) - et al.
Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET
NeuroImage
(2002) - et al.
Generalisability, random effects and population inference
NeuroImage
(1998) - et al.
The relationship between fMRI activation and cerebral atrophy: comparison of normal aging and Alzheimer disease
NeuroImage
(2000) - et al.
A comprehensive study of gray matter loss in patients with Alzheimer’s disease using optimized voxel-based morphometry
NeuroImage
(2003)