When higher activations reflect lower deactivations: a PET study in Alzheimer’s disease during encoding and retrieval in episodic memory

The aim of the present study was to explore the cerebral substrates of episodic memory disorders in Alzheimer’s disease (AD) and investigate patients' hyperactivations frequently reported in the functional imaging literature. It remains unclear whether some of these hyperactivations reflect com...

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Main Authors: Alexandre eBejanin, Armelle eViard, Gael eChételat, David eClarys, Frédéric eBernard, Alice ePélerin, Vincent ede La Sayette, Francis eEustache, Béatrice eDesgranges
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-05-01
Series:Frontiers in Human Neuroscience
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Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2012.00107/full
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Summary:The aim of the present study was to explore the cerebral substrates of episodic memory disorders in Alzheimer’s disease (AD) and investigate patients' hyperactivations frequently reported in the functional imaging literature. It remains unclear whether some of these hyperactivations reflect compensatory mechanisms or deactivation disturbances in the default mode network. Using positron emission tomography (15O-H2O), cerebral blood flow was measured in eleven ADs and twelve healthy elderly controls at rest and during encoding and stem-cued recall of verbal items. We performed subtractions analyses between the experimental and control conditions between groups. The average signal was extracted in regions showing hyperactivation in AD patients versus controls in both contrasts. To determine whether hyperactivations occurred in regions that were activated or deactivated during the memory tasks, we compared signal intensities between the experimental conditions versus rest. Our results showed reduced activation in ADs compared to controls in several core episodic memory regions, including the medial temporal structures, during both encoding and retrieval. ADs also showed hyperactivations compared to controls in a set of brain areas. Further analyses conducted on the signal extracted in these areas indicated that most of these hyperactivations in ADs actually reflected a failure of deactivation. Indeed, almost all of these regions were significantly more activated at rest than during the experimental conditions in controls, only one region presented a similar pattern of deactivation in ADs. Altogether, our findings suggest that hyperactivations in AD must be interpreted with caution and may not systematically reflect compensatory mechanisms. Although there has been evidence supporting the existence of genuine compensatory mechanisms, dysfunction within the default mode network may be responsible for part of the apparent hyperactivations reported in the literature on AD.
ISSN:1662-5161