Monkey to human comparative anatomy of the frontal lobe association tracts

Schotten, Michel Thiebaut de; Dell’Acqua, Flavio; Valabrègue, Romain; Catani, Marco

doi:10.1016/j.cortex.2011.10.001

Cited by 565 publications

(447 citation statements)

References 151 publications

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“…While significant correlation between humans and nonhuman primates’ white matter anatomy has been observed using diffusion MRI [Jbabdi et al, 2013], there are some major differences, particularly within the PFC [Thiebaut de Schotten et al, 2012]. This is perhaps unsurprising given the degree of evolutionary expansion in this region [Semendeferi et al, 2001] and supports our findings of interspecies differences.…”

Section: Discussionsupporting

confidence: 84%

Connectivity‐based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI

Ezra

Faull

Jbabdi

et al. 2015

Human Brain Mapping

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The periaqueductal gray matter (PAG) is a midbrain structure, involved in key homeostatic neurobiological functions, such as pain modulation and cardiorespiratory control. Animal research has identified four subdivisional columns that differ in both connectivity and function. Until now these findings have not been replicated in humans. This study used high‐resolution brainstem optimized diffusion magnetic resonance imaging and probabilistic tractography to segment the human PAG into four subdivisions, based on voxel connectivity profiles. We identified four distinct subdivisions demonstrating high spatial concordance with the columns of the animal model. The resolution of these subdivisions for individual subjects permitted detailed examination of their structural connectivity without the requirement of an a priori starting location. Interestingly patterns of forebrain connectivity appear to be different to those found in nonhuman studies, whereas midbrain and hindbrain connectivity appears to be maintained. Although there are similarities in the columnar structure of the PAG subdivisions between humans and nonhuman animals, there appears to be different patterns of cortical connectivity. This suggests that the functional organization of the PAG may be different between species, and as a consequence, functional studies in nonhumans may not be directly translatable to humans. This highlights the need for focused functional studies in humans. Hum Brain Mapp 36:3459–3471, 2015. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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Section: Discussionsupporting

confidence: 84%

Connectivity‐based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI

Ezra

Faull

Jbabdi

et al. 2015

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…This decoding is probably based on a sensitivity to the acoustic morphology of conspecific vocalizations (Romanski et al, 2005), which help to differentiate several types of vocalizations (Cohen et al, 2006Gifford et al, 2005;Russ et al, 2008b). Animal nonverbal vocalizations of primates might figure as precursors of human language (Hauser, 1997), given their comparability of internal structure (Zoloth and Green, 1979) and their functional similarity in social communications (Arnold and Zuberbuhler, 2006), as well as the developmental trajectories in the underlying cortical network Rauschecker, 2012;Rilling et al, 2008;Thiebaut de Schotten et al, 2012).…”

Section: Origins Of the Ifc Sensitivity To Vocal Intonationsmentioning

confidence: 99%

Processing of emotional vocalizations in bilateral inferior frontal cortex

Frühholz

Grandjean

2013

Neuroscience & Biobehavioral Reviews

103

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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“…† with this dual-tract system extending ventrally into the middle and inferior temporal gyri as well as dorsally into the ventral premotor gyrus. By comparison, the arcuate fasciculus in monkeys is a primitive one (7,8,11,62), providing a possible explanation for the monkey's apparent inability to store the representations of fluctuating acoustic stimuli in long-term memory (5). Conversely, the large size and complexity of this dual tract in humans may have enabled long-term memory for speech sounds by providing the auditory system with an input that transforms an intractable, fluctuating, acoustic stimulus into an integrated acoustic/oromotor sequence that can be stored for subsequent recognition.…”

Section: Discussionmentioning

confidence: 99%

Test of a motor theory of long-term auditory memory

Schulze

Vargha‐Khadem

Mishkin

2012

Proc. Natl. Acad. Sci. U.S.A.

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Monkeys can easily form lasting central representations of visual and tactile stimuli, yet they seem unable to do the same with sounds. Humans, by contrast, are highly proficient in auditory long-term memory (LTM). These mnemonic differences within and between species raise the question of whether the human ability is supported in some way by speech and language, e.g., through subvocal reproduction of speech sounds and by covert verbal labeling of environmental stimuli. If so, the explanation could be that storing rapidly fluctuating acoustic signals requires assistance from the motor system, which is uniquely organized to chain-link rapid sequences. To test this hypothesis, we compared the ability of normal participants to recognize lists of stimuli that can be easily reproduced, labeled, or both (pseudowords, nonverbal sounds, and words, respectively) versus their ability to recognize a list of stimuli that can be reproduced or labeled only with great difficulty (reversed words, i.e., words played backward). Recognition scores after 5-min delays filled with articulatory-suppression tasks were relatively high (75-80% correct) for all sound types except reversed words; the latter yielded scores that were not far above chance (58% correct), even though these stimuli were discriminated nearly perfectly when presented as reversed-word pairs at short intrapair intervals. The combined results provide preliminary support for the hypothesis that participation of the oromotor system may be essential for laying down the memory of speech sounds and, indeed, that speech and auditory memory may be so critically dependent on each other that they had to coevolve.evolution | mimic | arcuate fasciculus T he proficiency with which monkeys perform tests of both visual and tactile recognition does not extend to auditory recognition. In vision and touch, monkeys master the rule for one-trial recognition memory extremely rapidly, within several daily sessions (1, 2); and once they have learned the rule, it can be shown that they have stimulus-retention thresholds (performance at 75% accuracy) of 10-20 min after viewing or palpating a novel stimulus for only 1-2 s (3, 4). In audition, by contrast, monkeys acquire the rule for one-trial memory exceedingly slowly, requiring a full year or two of training before they can master it, if they succeed at all; and if they do succeed, their stimulus-retention thresholds are found to extend no longer than 30-40 s after stimulus presentation (5). This marked disparity in mnemonic ability across sensory modalities suggests that, in audition alone, monkeys seem unable to store stimulus representations in long-term memory (LTM) and, consequently, appear to be limited mnemonically to the time period covered by short-term memory. Humans, on the other hand, are highly proficient at storing lasting representations of auditory stimuli, such as words and tunes, thereby enabling their later recognition. What accounts for these striking mnemonic differences between audition and other sensory modalities in...

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Monkey to human comparative anatomy of the frontal lobe association tracts

Cited by 565 publications

References 151 publications

Connectivity‐based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI

Connectivity‐based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI

Processing of emotional vocalizations in bilateral inferior frontal cortex

Test of a motor theory of long-term auditory memory

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