Cabeza R.*, Anderson
N. D. , Kester J.,
& McIntosh A. R. §
* Center for Cognitive Neuroscience, Duke University,
B203 LSRC Bldg., Durham, NC 27708, USA
KLARU, Baycrest Centre, 3560 Bathurst Street, Toronto, Ontario
M6A 2E1, Canada
Department of Psychology, University of Toronto, 100 St. George
Street, Toronto, Ontario, M5S 1A1, Canada
§ Rotman Research, Institute, Baycrest Centre, 3560 Bathurst
Street, Toronto, Ontario M6A 2E1, Canada
Whereas some older adults show significant
cognitive deficits, others perform as well as young adults. To investigate
the neural basis of these different aging patterns, we measured brain
activity in low- and high-performing older adults using positron emission
tomography (PET). In functional neuroimaging studies, prefrontal cortex
(PFC) activity tends to be less asymmetric in older than in younger
adults (Hemispheric Asymmetry Reduction in Old Adults or HAROLD). This
finding has been observed in the domains of episodic retrieval, episodic
encoding/semantic retrieval, working memory, perception, and inhibitory
control. Age-related asymmetry reductions may help counteract age-related
neurocognitive decline (compensation hypothesis) or they may reflect
an age-related difficulty in recruiting specialized neural mechanisms
(dedifferentiation hypothesis) To compare these two hypotheses, we measured
PFC activity in young adults, low-performing older adults, and high-performing
older adults during recall and source recognition of recently studied
words. Low- and high-performing older participants were selected before
scanning from a larger sample of older adults. Compared to recall, source
memory was associated with right PFC activations in young adults. Low-performing
older adults recruited similar right PFC regions as young adults, whereas
high-performing older adults engaged PFC regions bilaterally. Thus,
consistent with the compensation hypothesis and inconsistent with the
dedifferentiation hypothesis, a hemispheric asymmetry reduction was
found in high-performing but not in low-performing older adults. These
results suggest that low-performing older adults recruited a similar
network as young adults but used it inefficiently, whereas high-performing
older adults counteracted age-related neural decline through a plastic
reorganization of neurocognitive networks.
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