Morphometric correlates of anomia in patients with small left temporopolar lesions

• Published in: Journal of neuropsychology Vol. 14; no. 2; pp. 260 - 282
• Main Authors: Alemán‐Gómez, Yasser, Poch, Claudia, Toledano, Rafael, Jiménez‐Huete, Adolfo, García‐Morales, Irene, Gil‐Nagel, Antonio, Campo, Pablo
• Format: Journal Article
• Language: English
• Published: England 01.06.2020
• Subjects: anomia; anterior temporal cortex; brain morphometry; epilepsy; visual naming; epilepsy; visual naming; anomia; brain morphometry; anterior temporal cortex
• ISSN: 1748-6645; 1748-6653
• DOI: 10.1111/jnp.12184

Visual object naming is a complex cognitive process that engages an interconnected network of cortical regions moving from occipitotemporal to anterior–inferior temporal cortices, and extending into the inferior frontal cortex. Naming can fail for diverse reasons, and different stages of the naming multi‐step process appear to be reliant upon the integrity of different neuroanatomical locations. While the neural correlates of semantic errors have been extensively studied, the neural basis of omission errors remains relatively unspecified. Although a strong line of evidence supports an association between anterior temporal lobe damage and semantic errors, there are some studies suggesting that the anterior temporal lobe could be also associated with omissions. However, support for this hypothesis comes from studies with patients in whom damage affected extensive brain regions, sometimes bilaterally. Here, we availed of a group of 12 patients with epilepsy associated with a small lesion at the tip of the left temporal pole. Using an unbiased surface‐based morphometry methodology, we correlated two morphological features with errors observed during visual naming. Analyses revealed a correlation between omission errors and reduced local gyrification index in three cortical clusters: one in the left anteromedial temporal lobe region (AMTL) and two in the left anterior cingulate cortex (ACC). Our findings support the view that regions in ACC and AMTL are critical structures within a network engaged in word selection from semantics.