Distinct neural substrates selectively support orthographic long-term memory and orthographic working memory in spelling¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The study reports the first clear evidence that orthographic long-term memory and working memory processes have selectively supporting neural substrates. → Rapp 2016

Evidence¶

Rapp 2016¶

Rapp, Brenda; Purcell, Jeremy; Hillis, Argye; Capasso, Rita; Miceli, Gabriele. (2016). Neural bases of orthographic long-term memory and working memory in dysgraphia. BRAIN. https://doi.org/10.1093/brain/awv348

q2 · i? · associational · r1

Voxel-based lesion-mapping study of 33 individuals with post-stroke dysgraphia, 27 with deficits affecting only one process and 6 with both, classified on behavioral profiles alone. The article states the findings "provide, for the first time, clear evidence of substrates that selectively support" the two processes. No effect size is printed.

"The findings provide, for the first time, clear evidence of substrates that selectively support orthographic long-term and working memory processes"

Discussion¶

Related Claims¶

• Behavioral profiles alone can identify dysgraphia cases with deficits selectively affecting orthographic long-term memory or working memory — related
• Lesion evidence links written-language processes to language, working memory, and other cognitive skills — related
• Orthographic working memory deficits in dysgraphia arise primarily from lesions of the left parietal cortex centered on the intraparietal sulcus — a narrower finding that bears on this claim
• Orthographic long-term memory deficits in dysgraphia are centered in the left posterior inferior frontal region or left ventral temporal cortex — a narrower finding that bears on this claim
• Working memory is distinct from short-term memory in subsystem count and functional role in higher cognition — related
• Standard unconstrained neural networks do not naturally separate working memory from long-term memory or impose human-like capacity limits — related