Category-specific semantic memory: converging evidence from bold fMRI and Alzheimer's disease.

TitleCategory-specific semantic memory: converging evidence from bold fMRI and Alzheimer's disease.
Publication TypeJournal Article
Year of Publication2013
AuthorsGrossman M, Peelle JE, Smith EE, McMillan CT, Cook P, Powers J, Dreyfuss M, Bonner MF, Richmond L, Boller A, Camp E, Burkholder L
JournalNeuroimage
Volume68
Pagination263-74
Date Published2013 Mar
ISSN1095-9572
KeywordsAdolescent, Adult, Aged, Aged, 80 and over, Alzheimer Disease, Brain, Brain Mapping, Diffusion Tensor Imaging, Female, Humans, Image Interpretation, Computer-Assisted, Male, Memory, Semantics, Young Adult
Abstract

Patients with Alzheimer's disease have category-specific semantic memory difficulty for natural relative to manufactured objects. We assessed the basis for this deficit by asking healthy adults and patients to judge whether pairs of words share a feature (e.g. "banana:lemon-COLOR"). In an fMRI study, healthy adults showed gray matter (GM) activation of temporal-occipital cortex (TOC) where visual-perceptual features may be represented, and prefrontal cortex (PFC) which may contribute to feature selection. Tractography revealed dorsal and ventral stream white matter (WM) projections between PFC and TOC. Patients had greater difficulty with natural than manufactured objects. This was associated with greater overlap between diseased GM areas correlated with natural kinds in patients and fMRI activation in healthy adults for natural kinds. The dorsal WM projection between PFC and TOC in patients correlated only with judgments of natural kinds. Patients thus remained dependent on the same neural network as controls during judgments of natural kinds, despite disease in these areas. For manufactured objects, patients' judgments showed limited correlations with PFC and TOC GM areas activated by controls, and did not correlate with the PFC-TOC dorsal WM tract. Regions outside of the PFC-TOC network thus may help support patients' judgments of manufactured objects. We conclude that a large-scale neural network for semantic memory implicates both feature knowledge representations in modality-specific association cortex and heteromodal regions important for accessing this knowledge, and that patients' relative deficit for natural kinds is due in part to their dependence on this network despite disease in these areas.

DOI10.1016/j.neuroimage.2012.11.057
Alternate JournalNeuroimage
PubMed ID23220494
PubMed Central IDPMC3557551
Grant ListR01 NS044266 / NS / NINDS NIH HHS / United States
P01 AG032953 / AG / NIA NIH HHS / United States
R01 AG015116 / AG / NIA NIH HHS / United States
NS44266 / NS / NINDS NIH HHS / United States
P01 AG017586 / AG / NIA NIH HHS / United States
R01 AG038490 / AG / NIA NIH HHS / United States
AG15116 / AG / NIA NIH HHS / United States
AG32953 / AG / NIA NIH HHS / United States
P50 NS053488 / NS / NINDS NIH HHS / United States
AG38490 / AG / NIA NIH HHS / United States
AG17586 / AG / NIA NIH HHS / United States
NS53488 / NS / NINDS NIH HHS / United States

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