This past year we have continued to focus on a major part of long-term memory, termed semantic memory, that is composed of general information, such as facts, ideas, and the meaning of objects and words. We are particularly interested in characterizing the neural substrate mediating object and word meaning and its role in object perception. We are also interested in understanding how abstract knowledge, such as information about social interactions, is represented. Our studies have shown that information about salient properties of an object - such as what it looks like, how it moves, how it is used, and our affective reaction to it - are stored in our perceptual, action, and emotion systems. As a result, objects belonging to different categories such as animate entities (people, animals) and manmade manipulable objects (tools, utensils) are represented in partially distinct neural circuits. These distributed circuits also underpin our ability to understand more abstract events such as social and mechanical interactions (Martin 2016). One brain region that has been consistently associated with processing social information is the most anterior and superior region of the temporal lobe. Surprisingly, this brain region has also been associated with a completely different function - processing of written sentences. We noticed that many of these sentence processing studies used sentences that were nearly exclusively about social and/or social emotional situations. We reasoned that perhaps it was the content of these sentences, rather than sentence reading per se, that was driving activity in anterior temporal cortex. To evaluate this possibility we present word lists that differed in phrase length (single words, 3-word phrases, 6-word sentences) and semantic content (social-emotional, social, and inanimate objects). This allowed us to investigate if anterior temporal cortex responded to increasing phrase size (as a marker of sentence processing) with or without regard to a specific domain of concepts expressed in these sentences, i.e., social and/or social emotional content (Mellem et al., 2016). Our results showed that neural activity in anterior temporal cortex was modulated by word phrase length. However, this activity was strongly modulated by sentence content such that social and social-emotional concepts were preferred over material devoid of social content (i.e., limited to inanimate objects). Reading also induced content type effects in other brain regions associated with social processing including the amygdala and medial prefrontal cortex. In contrast, brain regions associated with processing information about inanimate objects responded most strongly to the non-social object phases and sentences. These findings extend out knowledge of the types of stimuli that social brain regions respond to (in this case simply reading about social interactions) and stress the importance of taking meaning into account when study the neural underpinnings of sentence processing. Progress has also been made on understanding the apparent category-related organization of ventral temporal cortex. One of the most robust and oft-replicated findings in cognitive neuroscience is that different regions of ventral temporal cortex respond preferentially to different categories of concrete objects. However, the determinants of this category-related organization remain to be fully established. We, and others, have recently proposed that a major contributing factor to this organization is privileged connectivity from each of these ventral temporal regions to other brain regions that store property information associated with that category. To test this hypothesis, we used fMRI to define category-related brain regions of interest (ROIs) in a large group of subjects (Stevens et al., 2015). We then used these ROIs in resting-state functional connectivity MRI analyses to explore functional connectivity among these regions. Our results demonstrate that distinct category-preferring regions of ventral temporal cortex show differentially stronger functional connectivity with other regions that have congruent category preference. These findings support the claim that privileged connectivity with other cortical regions provides a powerful constraint on the category-related organization of this region of the brain.

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26
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2016
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U.S. National Institute of Mental Health
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Power, Jonathan D; Plitt, Mark; Gotts, Stephen J et al. (2018) Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data. Proc Natl Acad Sci U S A 115:E2105-E2114
Avery, Jason A; Gotts, Stephen J; Kerr, Kara L et al. (2017) Convergent gustatory and viscerosensory processing in the human dorsal mid-insula. Hum Brain Mapp 38:2150-2164
Power, Jonathan D; Plitt, Mark; Laumann, Timothy O et al. (2017) Sources and implications of whole-brain fMRI signals in humans. Neuroimage 146:609-625
Mellem, Monika S; Wohltjen, Sophie; Gotts, Stephen J et al. (2017) Intrinsic frequency biases and profiles across human cortex. J Neurophysiol 118:2853-2864
Stevens, W Dale; Kravitz, Dwight J; Peng, Cynthia S et al. (2017) Privileged Functional Connectivity between the Visual Word Form Area and the Language System. J Neurosci 37:5288-5297
Power, Jonathan D; Laumann, Timothy O; Plitt, Mark et al. (2017) On Global fMRI Signals and Simulations. Trends Cogn Sci 21:911-913
Vattikuti, Shashaank; Thangaraj, Phyllis; Xie, Hua W et al. (2016) Canonical Cortical Circuit Model Explains Rivalry, Intermittent Rivalry, and Rivalry Memory. PLoS Comput Biol 12:e1004903
Martin, Alex (2016) GRAPES-Grounding representations in action, perception, and emotion systems: How object properties and categories are represented in the human brain. Psychon Bull Rev 23:979-90
Mellem, Monika S; Jasmin, Kyle M; Peng, Cynthia et al. (2016) Sentence processing in anterior superior temporal cortex shows a social-emotional bias. Neuropsychologia 89:217-224
Meoded, Avner; Morrissette, Arthur E; Katipally, Rohan et al. (2015) Cerebro-cerebellar connectivity is increased in primary lateral sclerosis. Neuroimage Clin 7:288-96

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