Symmetries in human brain language pathways correlate with verbal recall

Catani, Marco; Allin, Matthew; Husain, Masud; Pugliese, Luca; Mesulam, Marsel; Murray, Robin M.; Jones, Derek K.

doi:10.1073/pnas.0702116104

Cited by 587 publications

(607 citation statements)

References 53 publications

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“…The dorsal pathway along the AF and SLF was described in numerous recent DTI studies of the human brain (15)(16)(17). There is no doubt that these broad fascicles connect the temporal and inferior parietal lobes with the frontal lobe.…”

Section: Discussionmentioning

confidence: 99%

Ventral and dorsal pathways for language

Saur¹,

Kreher

Schnell

et al. 2008

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

1,339

105

1,188

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Built on an analogy between the visual and auditory systems, the following dual stream model for language processing was suggested recently: a dorsal stream is involved in mapping sound to articulation, and a ventral stream in mapping sound to meaning. The goal of the study presented here was to test the neuroanatomical basis of this model. Combining functional magnetic resonance imaging (fMRI) with a novel diffusion tensor imaging (DTI)-based tractography method we were able to identify the most probable anatomical pathways connecting brain regions activated during two prototypical language tasks. Sublexical repetition of speech is subserved by a dorsal pathway, connecting the superior temporal lobe and premotor cortices in the frontal lobe via the arcuate and superior longitudinal fascicle. In contrast, higher-level language comprehension is mediated by a ventral pathway connecting the middle temporal lobe and the ventrolateral prefrontal cortex via the extreme capsule. Thus, according to our findings, the function of the dorsal route, traditionally considered to be the major language pathway, is mainly restricted to sensory-motor mapping of sound to articulation, whereas linguistic processing of sound to meaning requires temporofrontal interaction transmitted via the ventral route.DTI ͉ extreme capsule ͉ fMRI ͉ language networks ͉ arcuate fascicle ͉ extreme capsule

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Section: Discussionmentioning

confidence: 99%

Ventral and dorsal pathways for language

Saur¹,

Kreher

Schnell

et al. 2008

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

1,339

105

1,188

View full text Add to dashboard Cite

show abstract

“…We used K-means cluster analysis (Steinhaus 1957;Forgy 1965;MacQueen 1967;Hartigan and Wong 1979;Lloyd 1982) on the ratio between the hyperactivity-impulsivity and inattention CPRS-R scores to fractionate our sample into three subgroups: predominantly inattentive, predominantly hyperactive and combined. K-means clustering analysis is a commonly used approach to identify relatively homogeneous groups of cases or variables based on selected characteristics (Johansen-Berg et al 2004;Anwander et al 2007;Catani et al 2007;). This identified the following: 53 children with a predominantly inattentive CPRS score (32%, 7-17 year old, 11.28 ± 2.75 years, 34 males and 19 females); 44 children (27%, 7-17 year old, 11.36 ± 2.59 years, 34 males and 10 females) with a predominantly hyperactive-impulsive CPRS score and 68 children (41%, 7-16 year old, 10.39 ± 2.24 years, 53 males and 15 females) with a combined symptom profile.…”

Section: Classificationmentioning

confidence: 99%

Double-dissociation between the mechanism leading to impulsivity and inattention in Attention Deficit Hyperactivity Disorder: A resting-state functional connectivity study

Sanefuji

Craig

Parlatini

et al. 2017

Cortex

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Two core symptoms characterize Attention Deficit Hyperactivity Disorder (ADHD) subtypes: inattentiveness and hyperactivity-impulsivity. While previous brain imaging research investigated ADHD as if it was a homogenous condition, its two core symptoms may originate from different brain mechanisms. We, therefore, hypothesized that the functional connectivity of cortico-striatal and attentional networks would be different between ADHD subtypes. We studied 165 children (mean age 10.93 years; age range, 7-17 year old) diagnosed as having ADHD based on their revised Conner's rating scale score and 170 typical developing individuals (mean age 11.46 years; age range, 7-17 year old) using resting state functional fMRI. Groups were matched for age, IQ and head motion during the MRI acquisition. We fractionated the ADHD group into predominantly inattentive, hyperactive-impulsive and combined subtypes based on their revised Conner's rating scale score. We then analyzed differences in resting state functional connectivity of the cortico-striatal and attentional networks between these subtypes. We found a double dissociation of functional connectivity in the cortico-striatal and ventral attentional networks, reflecting the subtypes of the ADHD participants. Particularly, the hyperactive-impulsive subtype was associated with increased connectivity in cortico-striatal network, whereas the inattentive subtype was associated with increased connectivity in the right ventral attention network. Our study demonstrated for the first time a right lateralized, double dissociation between specific networks associated with hyperactivity-impulsivity and inattentiveness in ADHD children, providing a biological M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT 2 basis for exploring symptom dimensions and revealing potential targets for more personalized treatments.

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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: 99%

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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Symmetries in human brain language pathways correlate with verbal recall

Cited by 587 publications

References 53 publications

Ventral and dorsal pathways for language

Ventral and dorsal pathways for language

Double-dissociation between the mechanism leading to impulsivity and inattention in Attention Deficit Hyperactivity Disorder: A resting-state functional connectivity study

Processing of emotional vocalizations in bilateral inferior frontal cortex

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