The evolution of the arcuate fasciculus revealed with comparative DTI

Rilling, James K.; Glasser, Matthew F.; Preuss, Todd M.; Ma, Xiangyang; Zhao, Tong; Hu, Xiaoping; Behrens, Timothy E.J.

doi:10.1038/nn2072

Cited by 795 publications

(649 citation statements)

References 12 publications

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“…The latter might represent different dynamic features of vocal expressions at the temporal frequency of speech segments and on a suprasegmental speech level. This dual stream model has been described only for the left hemisphere, but comparable structural hard wiring in the right hemisphere ; Thiebaut de Schotten et al, 2012) might suggest similar dual stream pathways there, though the evidence for the latter is less consistent (Catani et al, 2007;Rilling et al, 2008). Together with the notion that left and right auditory regions parse the speech signal at different time scales (Giraud et al, 2007;Poeppel, 2003), these observations might suggest that the left and right IFC have access to temporal acoustic information of vocal intonations, which are differently sampled in time.…”

Section: A General Functional Role Of the Ifcmentioning

confidence: 98%

Processing of emotional vocalizations in bilateral inferior frontal cortex

Frühholz

Grandjean

2013

Neuroscience & Biobehavioral Reviews

105

100

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a b s t r a c tA current view proposes that the right inferior frontal cortex (IFC) is particularly responsible for attentive decoding and cognitive evaluation of emotional cues in human vocalizations. Although some studies seem to support this view, an exhaustive review of all recent imaging studies points to an important functional role of both the right and the left IFC in processing vocal emotions. Second, besides a supposed predominant role of the IFC for an attentive processing and evaluation of emotional voices in IFC, these recent studies also point to a possible role of the IFC in preattentive and implicit processing of vocal emotions. The studies specifically provide evidence that both the right and the left IFC show a similar anterior-to-posterior gradient of functional activity in response to emotional vocalizations. This bilateral IFC gradient depends both on the nature or medium of emotional vocalizations (emotional prosody versus nonverbal expressions) and on the level of attentive processing (explicit versus implicit processing), closely resembling the distribution of terminal regions of distinct auditory pathways, which provide either global or dynamic acoustic information. Here we suggest a functional distribution in which several IFC subregions process different acoustic information conveyed by emotional vocalizations. Although the rostro-ventral IFC might categorize emotional vocalizations, the caudo-dorsal IFC might be specifically sensitive to their temporal features.

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Section: A General Functional Role Of the Ifcmentioning

confidence: 98%

Processing of emotional vocalizations in bilateral inferior frontal cortex

Frühholz

Grandjean

2013

Neuroscience & Biobehavioral Reviews

105

100

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“…This allows in vivo analysis of the anatomical connectivity of different regions, and how they vary between species (e.g., Rilling et al, 2008). Such analyses are complemented by functional connectivity analysis (which uses cross-correlation in time across multiple brain areas) to evaluate which regions are coactivated in particular tasks (Sporns et al, 2004;Xiang et al, 2010;Hamilton et al, 2013), an approach also potentially applicable to interspecies comparisons (Rilling et al, 2007).…”

Section: Neuroscientific Datamentioning

confidence: 99%

“…4. Its dorsal interconnections to parietal and temporal cortices via the arcuate fasciculus have been massively expanded in humans relative to other primates (Rilling et al, 2008). 5.…”

Section: Neuroscientific Datamentioning

confidence: 99%

“…Patel, 2016). Elsewhere, I have explored the neural changes that were necessary to achieve this final stage of dendrophilia (Fitch, 2014)-but in short, dendrophilia requires both extensive connections between temporal and parietal areas and the prefrontal regions surrounding Broca's area (the arcuate fasciculus) as well as a great expansion of Broca's areas (Friederici, 2016;Rilling et al, 2008;Schenker et al, 2010). Finally, I agree with Keller (1995), Deacon (1997), Heine and Kuteva (2002), Steels (2016), Kirby (2017), and many others that much of the complexity evident in the syntax of modern languages has arisen repeatedly by grammaticalization processes of cultural evolution and required no further neural changes beyond those needed for dendrophilia.…”

Section: Stage 4 Syntactic Homo Sapiensmentioning

confidence: 99%

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Empirical approaches to the study of language evolution

2017

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The study of language evolution, and human cognitive evolution more generally, has often been ridiculed as unscientific, but in fact it differs little from many other disciplines that investigate past events, such as geology or cosmology. Well-crafted models of language evolution make numerous testable hypotheses, and if the principles of strong inference (simultaneous testing of multiple plausible hypotheses) are adopted, there is an increasing amount of relevant data allowing empirical evaluation of such models. The articles in this special issue provide a concise overview of current models of language evolution, emphasizing the testable predictions that they make, along with overviews of the many sources of data available to test them (emphasizing comparative, neural, and genetic data). The key challenge facing the study of language evolution is not a lack of data, but rather a weak commitment to hypothesistesting approaches and strong inference, exacerbated by the broad and highly interdisciplinary nature of the relevant data. This introduction offers an overview of the field, and a summary of what needed to evolve to provide our species with language-ready brains. It then briefly discusses different contemporary models of language evolution, followed by an overview of different sources of data to test these models. I conclude with my own multistage model of how different components of language could have evolved.

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“…Language regions in the temporal and frontal cortices have been proposed to be connected by two ventral projections, one via the extreme capsule to the IFG, and one via the arcuate fasciculus to motor regions [Saur et al, 2008]. There is limited tractographic evidence for direct connections between auditory and superior frontal regions in humans [Jbabdi et al, 2013; Rilling et al, 2008]. The parietal cortices have also been divided into dorsal and ventral aspects based on differences in structural connectivity [Mars et al, 2011].…”

Section: Introductionmentioning

confidence: 99%

Auditory and visual connectivity gradients in frontoparietal cortex

Braga

Hellyer

Wise

et al. 2016

Human Brain Mapping

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A frontoparietal network of brain regions is often implicated in both auditory and visual information processing. Although it is possible that the same set of multimodal regions subserves both modalities, there is increasing evidence that there is a differentiation of sensory function within frontoparietal cortex. Magnetic resonance imaging (MRI) in humans was used to investigate whether different frontoparietal regions showed intrinsic biases in connectivity with visual or auditory modalities. Structural connectivity was assessed with diffusion tractography and functional connectivity was tested using functional MRI. A dorsal–ventral gradient of function was observed, where connectivity with visual cortex dominates dorsal frontal and parietal connections, while connectivity with auditory cortex dominates ventral frontal and parietal regions. A gradient was also observed along the posterior–anterior axis, although in opposite directions in prefrontal and parietal cortices. The results suggest that the location of neural activity within frontoparietal cortex may be influenced by these intrinsic biases toward visual and auditory processing. Thus, the location of activity in frontoparietal cortex may be influenced as much by stimulus modality as the cognitive demands of a task. It was concluded that stimulus modality was spatially encoded throughout frontal and parietal cortices, and was speculated that such an arrangement allows for top–down modulation of modality‐specific information to occur within higher‐order cortex. This could provide a potentially faster and more efficient pathway by which top–down selection between sensory modalities could occur, by constraining modulations to within frontal and parietal regions, rather than long‐range connections to sensory cortices. Hum Brain Mapp 38:255–270, 2017. © 2016 Wiley Periodicals, Inc.

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The evolution of the arcuate fasciculus revealed with comparative DTI

Cited by 795 publications

References 12 publications

Processing of emotional vocalizations in bilateral inferior frontal cortex

Processing of emotional vocalizations in bilateral inferior frontal cortex

Empirical approaches to the study of language evolution

Auditory and visual connectivity gradients in frontoparietal cortex

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