Anticholinergic Amnesia is Mediated by Alterations in Human Network Connectivity Architecture.

Disrupted cholinergic neurotransmission plays a central role in Alzheimer's disease, medication-induced memory impairment, and delirium. At the systems level, this suggests anticholinergic drugs may alter the activity and interplay of anatomically distributed neural networks critical for memory function. Using a network-sensitive imaging technique (functional connectivity MRI) and a double-blind, crossover design, we examined the consequences of anticholinergic drug administration on episodic memory and functional network architecture in a group of clinically normal elderly. We observed that low-dose scopolamine (0.2 mg IV) decreased episodic memory performance and selectively decreased connectivity strength in 3 of 7 cortical networks. Both memory and connectivity effects were independent of ß-amyloid burden. Drug-induced connectivity changes within the Default and Salience networks, as well as reductions in the strength of anticorrelation between these 2 networks, were sufficient to fully statistically mediate the effects of scopolamine on memory performance. These results provide experimental support for the importance of the Default and Salience networks to memory performance and suggest scopolamine-induced amnesia is underpinned by disrupted connectivity within and between these 2 networks. More broadly, these results support the potential utility of fcMRI as tool examine the systems-level pharmacology of psychoactive drugs.

Age-Related Increases in Tip-of-the-tongue are Distinct from Decreases in Remembering Names: A Functional MRI Study.

Tip-of-the-tongue (TOT) experiences increase with age and frequently heighten concerns about memory decline. We studied 73 clinically normal older adults participating in the Harvard Aging Brain Study. They completed a functional magnetic resonance imaging (fMRI) task that required remembering names associated with pictures of famous faces. Older age was associated with more self-reported TOT experiences and a decrease in the percentage of remembered names. However, the percentage of TOT experiences and the percentage of remembered names were not directly correlated. We mapped fMRI activity for recollection of famous names and TOT and examined activity in the hippocampal formation, retrosplenial cortex, and lateral prefrontal cortex. The hippocampal formation was similarly activated in recollection and TOT experiences. In contrast, the retrosplenial cortex was most active for recollection and lateral prefrontal cortex was most active for TOT experiences. Together, the results confirm that age-related increases in TOT experiences are not only solely the consequence of age-related decline in recollection, but also likely reflect functional alterations in the brain networks that support retrieval monitoring and cognitive control. These findings provide behavioral and neuroimaging evidence that age-related TOT experiences and memory failure are partially independent processes.

The Apathy Evaluation Scale: A Comparison of Subject, Informant, and Clinician Report in Cognitively Normal Elderly and Mild Cognitive Impairment.

BACKGROUND: Apathy is a common neuropsychiatric symptom in Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI). Detecting apathy accurately may facilitate earlier diagnosis of AD. The Apathy Evaluation Scale (AES) is a promising tool for measurement of apathy in prodromal and possibly preclinical AD. OBJECTIVE: To compare the three AES sub-scales - subject-reported (AES-S), informant-reported (AES-I), and clinician-reported (AES-C) - over time in individuals at risk for AD due to MCI and advanced age (cognitively normal [CN] elderly). METHODS: Mixed effects longitudinal models were used to assess predictors of score for each AES sub-scale. Cox proportional hazards models were used to assess which AES sub-scales predict progression from MCI to AD dementia. RESULTS: Fifty-seven MCI and 18 CN subjects (ages 53-86) were followed for 1.4 ± 1.2 years and 0.7 ± 0.7 years, respectively. Across the three mixed effects longitudinal models, the common findings were associations between greater apathy and greater years in study, a baseline diagnosis of MCI (compared to CN), and male gender. CN elderly self-reported greater apathy compared to that reported by informants and clinicians, while individuals with MCI under-reported their apathy compared to informants and clinicians. Of the three sub-scales, the AES-C best predicted transition from MCI to AD dementia. CONCLUSION: In a sample of CN elderly and elderly with MCI, apathy increased over time, particularly in men and those with MCI. AES-S scores may be more sensitive than AES-I and AES-C scores in CN elderly, but less reliable if subjects have MCI. Moreover, the AES-C sub-scale predicted progression from MCI to AD dementia.

Neuropsychiatric Symptoms and Functional Connectivity in Mild Cognitive Impairment.

BACKGROUND: Neuropsychiatric symptoms (NPS), such as apathy and depression, commonly accompany cognitive and functional decline in early Alzheimer's disease (AD). Prior studies have shown associations between affective NPS and neurodegeneration of medial frontal and inferior temporal regions in mild cognitive impairment (MCI) and AD dementia. OBJECTIVE: To investigate the association between functional connectivity in four brain networks and NPS in elderly with MCI. METHODS: NPS were assessed using the Neuropsychiatric Inventory in 42 subjects with MCI. Resting-state functional connectivity in four networks (default mode network, fronto-parietal control network (FPCN), dorsal attention network, and ventral attention network) was assessed using seed-based magnetic resonance imaging. Factor analysis was used to identify two factors of NPS: Affective and Hyperactivity. Linear regression models were utilized with the neuropsychiatric factors as the dependent variable and the four networks as the predictors of interest. Covariates included age, gender, premorbid intelligence, processing speed, memory, head movement, and signal-to-noise ratio. These analyses were repeated with the individual items of the affective factor, using the same predictors. RESULTS: There was a significant association between greater Affective factor symptoms and reduced FPCN connectivity (p = 0.03). There was no association between the Hyperactivity factor and any of the networks. Secondary analyses revealed an association between greater apathy and reduced FPCN connectivity (p = 0.005), but none in other networks. CONCLUSIONS: Decreased connectivity in the FPCN may be associated with greater affective symptoms, particularly apathy, early in AD. These findings extend prior studies, using different functional imaging modalities in individuals with greater disease severity.

Amyloid-ß deposition in mild cognitive impairment is associated with increased hippocampal activity, atrophy and clinical progression.

Cross-sectional functional magnetic resonance imaging studies using a memory task in patients with mild cognitive impairment have produced discordant results, with some studies reporting increased hippocampal activity--consistent with findings in genetic at-risk populations--and other studies reporting decreased hippocampal activity, relative to normal controls. However, previous studies in mild cognitive impairment have not included markers of amyloid-ß, which may be particularly important in prediction of progression along the Alzheimer's disease continuum. Here, we examine the contribution of amyloid-ß deposition to cross-sectional and longitudinal measures of hippocampal functional magnetic resonance imaging activity, hippocampal volume, global cognition and clinical progression over 36 months in 33 patients with mild cognitive impairment. Amyloid-ß status was examined with positron emission tomography imaging using Pittsburg compound-B, hippocampal functional magnetic resonance imaging activity was assessed using an associative face-name memory encoding task, and hippocampal volume was quantified with structural magnetic resonance imaging. Finally global cognition was assessed using the Mini-Mental State Examination and clinical progression was assessed using the Clinical Dementia Rating (Sum of Boxes). At baseline, amyloid-ß positive patients with mild cognitive impairment showed increased hippocampal activation, smaller hippocampal volumes, and a trend towards lower Mini-Mental State Examination scores and higher Clinical Dementia Ratings compared to amyloid-ß negative patients with mild cognitive impairment. Longitudinally, amyloid-ß positive patients with mild cognitive impairment continued to show high levels of hippocampal activity, despite increasing rates of hippocampal atrophy, decline on the Mini-Mental State Examination and faster progression on the Clinical Dementia Ratings. When entered simultaneously into the same linear mixed model, amyloid-ß status, hippocampal activation, and hippocampal volume independently predicted clinical progression. These results indicate that amyloid-ß positive patients with mild cognitive impairment are more likely on a path towards Alzheimer's disease dementia than amyloid-ß negative patients. Increased hippocampal activity is discussed in relation to neuronal compensation and/or amyloid-ß induced excitoxicity.

Template based rotation: a method for functional connectivity analysis with a priori templates.

Functional connectivity magnetic resonance imaging (fcMRI) is a powerful tool for understanding the network level organization of the brain in research settings and is increasingly being used to study large-scale neuronal network degeneration in clinical trial settings. Presently, a variety of techniques, including seed-based correlation analysis and group independent components analysis (with either dual regression or back projection) are commonly employed to compute functional connectivity metrics. In the present report, we introduce template based rotation,(1) a novel analytic approach optimized for use with a priori network parcellations, which may be particularly useful in clinical trial settings. Template based rotation was designed to leverage the stable spatial patterns of intrinsic connectivity derived from out-of-sample datasets by mapping data from novel sessions onto the previously defined a priori templates. We first demonstrate the feasibility of using previously defined a priori templates in connectivity analyses, and then compare the performance of template based rotation to seed based and dual regression methods by applying these analytic approaches to an fMRI dataset of normal young and elderly subjects. We observed that template based rotation and dual regression are approximately equivalent in detecting fcMRI differences between young and old subjects, demonstrating similar effect sizes for group differences and similar reliability metrics across 12 cortical networks. Both template based rotation and dual-regression demonstrated larger effect sizes and comparable reliabilities as compared to seed based correlation analysis, though all three methods yielded similar patterns of network differences. When performing inter-network and sub-network connectivity analyses, we observed that template based rotation offered greater flexibility, larger group differences, and more stable connectivity estimates as compared to dual regression and seed based analyses. This flexibility owes to the reduced spatial and temporal orthogonality constraints of template based rotation as compared to dual regression. These results suggest that template based rotation can provide a useful alternative to existing fcMRI analytic methods, particularly in clinical trial settings where predefined outcome measures and conserved network descriptions across groups are at a premium.

Development of a psychometrically equivalent short form of the Face-Name Associative Memory Exam for use along the early Alzheimer's disease trajectory.

Neuropsychologists are developing more challenging and specific tests to detect early and subtle changes in cognition related to preclinical Alzheimer's disease (AD). The 16-item Face-Name Associative Memory Exam (FNAME-16) is a challenging paired associative memory test able to detect subtle memory changes associated with biomarker evidence of preclinical AD. However, as individuals progress along the AD trajectory, measures that are sensitive at the preclinical stage may become too challenging by the stage of Mild Cognitive Impairment (MCI). Our goal was to develop a modified version of the face-name and face-occupation paired associative memory task (FNAME-12) with fewer stimuli and additional learning trials suitable for use in MCI. We administered the FNAME-12A, an alternate version FNAME 12B, the original FNAME-16, and a series of other neuropsychological measures to 65 clinically normal (CN) older adults (aged 65 to 85) and a subsample characterized by MCI (n = 18). The FNAME-12 exhibited psychometric equivalence with the FNAME-16 (r = .77, p < .001) and was correlated with other measures of episodic and semantic memory. The alternate form, FNAME-12B, was highly correlated with FNAME-12A (r = .76, p < .001). Mean performance on the FNAME 12A, stratified by education, was generated. The task could be completed by our MCI group yet remained challenging in the CN group, providing evidence for its utility along the AD trajectory.

Amyloid deposition is linked to aberrant entorhinal activity among cognitively normal older adults.

Normal aging is often difficult to distinguish from the earliest stages of Alzheimer's disease. Years before clinical memory deficits manifest, amyloid-ß deposits in the cortex in many older individuals. Neuroimaging studies indicate that a set of densely connected neocortical regions, referred to as the default network, is especially vulnerable to amyloid-ß deposition. Yet, the impact of amyloid-ß on age-related changes within the medial temporal lobe (MTL) memory system is less clear. Here we demonstrate that cognitively normal older humans, compared with young adults, show reduced ability to modulate hippocampal activations and entorhinal deactivations during an episodic memory task. Among older adults, amyloid-ß deposition was associated with failure to modulate activity in entorhinal cortex, but not hippocampus. Furthermore, we show that entorhinal regions demonstrating amyloid-ß-related dysfunction are directly connected to the neocortical regions of the default network. Together these findings link neocortical amyloid-ß deposition to neuronal dysfunction specifically in entorhinal cortex, while aging is associated with more widespread functional changes across the MTL.

The encoding/retrieval flip: interactions between memory performance and memory stage and relationship to intrinsic cortical networks.

fMRI studies have linked the posteromedial cortex to episodic learning (encoding) and remembering (retrieval) processes. The posteromedial cortex is considered part of the default network and tends to deactivate during encoding but activate during retrieval, a pattern known as the encoding/retrieval flip. Yet, the exact relationship between the neural correlates of memory performance (hit/miss) and memory stage (encoding/retrieval) and the extent of overlap with intrinsic cortical networks remains to be elucidated. Using task-based fMRI, we isolated the pattern of activity associated with memory performance, memory stage, and the interaction between both. Using resting-state fMRI, we identified which intrinsic large-scale functional networks overlapped with regions showing task-induced effects. Our results demonstrated an effect of successful memory performance in regions associated with the control network and an effect of unsuccessful memory performance in the ventral attention network. We found an effect of memory retrieval in brain regions that span the default and control networks. Finally, we found an interaction between memory performance and memory stage in brain regions associated with the default network, including the posteromedial cortex, posterior parietal cortex, and parahippocampal cortex. We discuss these findings in relation to the encoding/retrieval flip. In general, the findings demonstrate that task-induced effects cut across intrinsic cortical networks. Furthermore, regions within the default network display functional dissociations, and this may have implications for the neural underpinnings of age-related memory disorders.