Representational Similarity Mapping of Distributional Semantics in Left Inferior Frontal, Middle Temporal, and Motor Cortex

Carota, Francesca; Kriegeskorte, Nikolaus; Nili, Hamed; Pulvermüller, Friedemann

doi:10.1093/cercor/bhw379

Cited by 78 publications

(99 citation statements)

References 96 publications

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“…The t-values associated with those correlations are indicated with shades of red and thresholded at p < 0.05, FDR corrected. Although expected for higher-order features (Freedman, Riesenhuber, Poggio, & Miller, 2001;Wagner, Paré-Blagoev, Clark, & Poldrack, 2001;Huth, Nishimoto, Vu, & Gallant, 2012;Carota, Kriegeskorte, Nili, & Pulvermüller, 2017), the widespread presence of low-level visual features within higher-order regions (see Table 1) appears to challenge a strict interpretation of the cortical visual hierarchy, which would predict results similar to what we observed for mid-level visual features.…”

Section: Figure 4 Seed Roi Weights and Feature-specific Informationasupporting

confidence: 59%

Feature-Specific Neural Reactivation during Episodic Memory

Bone¹,

Ahmad

Buchsbaum³

2019

Preprint

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AbstractWhen recalling an experience of the past, many of the component features of the original episode may be, to a greater or lesser extent, reconstructed in the mind’s eye. There is strong evidence that the pattern of neural activity that occurred during an initial perceptual experience is recreated during episodic recall (neural reactivation), and that the degree of reactivation is correlated with the subjective vividness of the memory. However, while we know that reactivation occurs during episodic recall, we have lacked a way of precisely characterizing the contents—in terms of its featural constituents—of a reactivated memory. Here we present a novel approach, feature-specific informational connectivity (FSIC), that leverages hierarchical representations of image stimuli derived from a deep convolutional neural network to decode neural reactivation in fMRI data collected while participants performed an episodic recall task. We show that neural reactivation associated with low-level visual features (e.g. edges), high-level visual features (e.g. facial features), and semantic features (e.g. “terrier”) occur throughout the dorsal and ventral visual streams and extend into the frontal cortex. Moreover, we show that reactivation of both low- and high-level visual features correlate with the vividness of the memory, whereas only reactivation of low-level features correlates with recognition accuracy when the lure and target images are semantically similar. In addition to demonstrating the utility of FSIC for mapping feature-specific reactivation, these findings resolve the relative contributions of low- and high-level features to the vividness of visual memories, clarify the role of the frontal cortex during episodic recall, and challenge a strict interpretation the posterior-to-anterior visual hierarchy.

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Section: Figure 4 Seed Roi Weights and Feature-specific Informationasupporting

confidence: 59%

Feature-Specific Neural Reactivation during Episodic Memory

Bone¹,

Ahmad

Buchsbaum³

2019

Preprint

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“…Alternatively, considering that the comprehension of a word seems to be associated with activation of its articulatory motor program (Pulvermüller, 2005), the content of food-wasting and harmful scenarios might include words processed by overlapping regions in the motor area. It has been shown that action verbs and food nouns elicited similar brain response patterns in the left Inferior Frontal Gyrus and Motor Cortex (Carota, Kriegeskorte, Nili, & Pulvermüller, 2017) which overlap with our results. On the other hand, processing of food-wasting and harmful scenarios led to an increased activation in the left Amygdala and left dorsolateral Prefrontal Cortex, which are functionally connected during emotion regulation (Herwig et al, 2019), suggesting considerable emotional engagement during moral judgment of these scenarios.…”

Section: Discussionsupporting

confidence: 90%

Wasting food is disgusting: Evidence from behavioral and neuroimaging study of moral judgment of food-wasting behavior

Marczak

Marchewka

Wypych

et al. 2019

Preprint

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24Food-wasting has a profound negative social and environmental impact. Acknowledging that 25 referring to moral judgment can motivate behavior change, the present study aimed to determine 26 moral intuitions underlying the perception of food-wasting behavior. We developed a set of 27 affective standardized scenarios and we used them to collect behavioral and neuroimaging data. In 28 the main study, 50 participants made moral judgments regarding food-wasting, disgusting, 29 harmful, dishonest, or neutral behaviors presented in these scenarios. We found that wasting food 30 was considered morally wrong and it was associated with moral disgust. Neuroimaging data 31 revealed that food-wasting stimuli elicited an increased activity in structures associated with moral 32 judgment, as well as in regions involved in the processing of moral, but also physical disgust. We 33 discuss our results in the context of the evolutionary significance of food that might have led to 34 seeing food-wasting as a moral transgression. 35 36 37 38 WASTING FOOD IS DISGUSTING 3 Wasting food is disgusting: 39 Evidence from behavioral and neuroimaging study of moral judgment of food-wasting behavior 40 41

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“…This interpretation is in line with previous evidence that unprocessed foods tend to be perceived as more distant from edibility than processed foods that instead are perceived as ready to be consumed (Foroni et al, 2013). Both the inferior frontal and precentral gyri have also been found to represent food words as well as the corresponding action words associated with mouth and tools (Carota, Kriegeskorte, Nili, & Pulvermüller, 2017; see also De Lucia, Clarke & Murray, 2010 for environmental sounds). The results of the source estimation analysis failed to reveal any statistically significant differential activity in the OFC or in any other brain region associated with reward processing (i.e., ventromedial prefrontal cortex, striatum).…”

Section: Discussionsupporting

confidence: 88%