scholarly journals Electrocorticographic responses to time-compressed speech vary across the cortical auditory hierarchy

2018 ◽  
Author(s):  
Ido Davidesco ◽  
Thomas Thesen ◽  
Christopher J Honey ◽  
Lucia Melloni ◽  
Werner Doyle ◽  
...  
Keyword(s):  
Speech Rate ◽  
Inferior Frontal Gyrus ◽  
Superior Temporal Gyrus ◽  
Angular Gyrus ◽  
Neural Responses ◽  
Original Sentence ◽  
Close Proximity ◽  
Usual Rate ◽  
Intelligible Speech ◽  
High Level

AbstractHuman listeners understand spoken language across a variety of rates, but when speech is presented three times or more faster than its usual rate, it becomes unintelligible. How the brain achieves such tolerance and why speech becomes unintelligible above certain rates is still unclear. We addressed these questions using electrocorticography (ECoG) recordings in 7 epileptic patients (two female). Patients rated the intelligibility of sentences presented at the original rate (100%), speeded rates (33% or 66% of the original sentence duration) and a slowed rate (150%). We then examined which parameters of the neural response covary with the transition from intelligible to unintelligible speech. Specifically, we asked whether neural responses: 1) track the acoustic envelope of the incoming speech; 2) “scale” with speech rate, i.e. whether neural responses elicited by slowed and speeded sentences can be linearly scaled to match the responses to the original sentence. Behaviorally, intelligibility was at ceiling for speech rates of 66% and above, but dropped significantly for the 33% rate. At the neural level, Superior Temporal Gyrus regions (STG) in close proximity to A1 (‘low-level’) tracked the acoustic envelope and linearly scaled with the input across all speech rates, irrespective of intelligibility. In contrast, secondary auditory areas in the STG as well as the inferior frontal gyrus and angular gyrus (‘high-level’) tracked the acoustic envelope and linearly scaled with input only for intelligible speech. These results help reconcile seemingly contradictory previous findings and provide better understanding of how information processing unfolds along the cortical auditory hierarchy.

Window anatomy for neurosurgical approaches

2009 ◽  
Vol 111 (2) ◽  
pp. 365-370 ◽  
Author(s):  
Simel Kendir ◽  
Halil Ibrahim Acar ◽  
Ayhan Comert ◽  
Mevci Ozdemir ◽  
Gokmen Kahilogullari ◽  
...  
Keyword(s):  
Inferior Frontal Gyrus ◽  
Superior Temporal Gyrus ◽  
Angular Gyrus ◽  
Precentral Gyrus ◽  
Supramarginal Gyrus ◽  
Surgical Interventions ◽  
Postcentral Gyrus ◽  
Human Skulls ◽  
Formalin Fixed ◽  
Heschl Gyrus

Object Knowledge of the cranium projections of the gyral structures is essential to reduce the surgical complications and to perform minimally invasive interventions in daily neurosurgical practice. Thus, in this study the authors aimed to provide detailed information on cranial projections of the eloquent cortical areas. Methods Ten formalin-fixed adult human skulls were obtained. Using sutures and craniometrical points, the crania were divided into 8 windows: superior frontal, inferior frontal, superior parietal, inferior parietal, sphenoidal, temporal, superior occipital, and inferior occipital. The projections of the precentral gyrus, postcentral gyrus, inferior frontal gyrus, superior temporal gyrus, transverse temporal gyri, Heschl gyrus, genu and splenium of the corpus callosum, supramarginal gyrus, angular gyrus, calcarine sulcus, and sylvian fissure to cranial vault were evaluated. Results Three-fourths of the precentral gyrus and postcentral gyrus were in the superior parietal window. The inferior frontal gyrus extended to the inferior parietal window in 80%. The 3 important parts of this gyrus were located below the superior temporal line in all hemispheres. The orbital and triangular parts were in the inferior frontal window, and the opercular part was in the inferior parietal window. The superior temporal gyrus was usually located in the inferior parietal and temporal windows, whereas the supramarginal gyrus and angular gyrus were usually located in the superior and inferior parietal windows. The farthest anterior point of the Heschl gyrus was usually located in the inferior parietal window. The mean positions of arachnoid granulations were measured as 3.9 ± 0.39 cm anterior and 7.3 ± 0.51 cm posterior to the bregma. Conclusions Given that recognition of the gyral patterns underlying the craniotomies is not always easy, awareness of the coordinates and projections of certain gyri according to the craniometric points may considerably contribute to surgical interventions.

scholarly journals High-level language processing regions are not engaged in action observation or imitation

2018 ◽  
Vol 120 (5) ◽  
pp. 2555-2570 ◽  
Author(s):  
Brianna L. Pritchett ◽  
Caitlyn Hoeflin ◽  
Kami Koldewyn ◽  
Eyal Dechter ◽  
Evelina Fedorenko
Keyword(s):  
Language Processing ◽  
Language Comprehension ◽  
Music Perception ◽  
Action Observation ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Angular Gyrus ◽  
High Level Language ◽  
Left Frontal Lobe ◽  
High Level

A set of left frontal, temporal, and parietal brain regions respond robustly during language comprehension and production (e.g., Fedorenko E, Hsieh PJ, Nieto-Castañón A, Whitfield-Gabrieli S, Kanwisher N. J Neurophysiol 104: 1177–1194, 2010; Menenti L, Gierhan SM, Segaert K, Hagoort P. Psychol Sci 22: 1173–1182, 2011). These regions have been further shown to be selective for language relative to other cognitive processes, including arithmetic, aspects of executive function, and music perception (e.g., Fedorenko E, Behr MK, Kanwisher N. Proc Natl Acad Sci USA 108: 16428–16433, 2011; Monti MM, Osherson DN. Brain Res 1428: 33–42, 2012). However, one claim about overlap between language and nonlinguistic cognition remains prominent. In particular, some have argued that language processing shares computational demands with action observation and/or execution (e.g., Rizzolatti G, Arbib MA. Trends Neurosci 21: 188–194, 1998; Koechlin E, Jubault T. Neuron 50: 963–974, 2006; Tettamanti M, Weniger D. Cortex 42: 491–494, 2006). However, the evidence for these claims is indirect, based on observing activation for language and action tasks within the same broad anatomical areas (e.g., on the lateral surface of the left frontal lobe). To test whether language indeed shares machinery with action observation/execution, we examined the responses of language brain regions, defined functionally in each individual participant (Fedorenko E, Hsieh PJ, Nieto-Castañón A, Whitfield-Gabrieli S, Kanwisher N. J Neurophysiol 104: 1177–1194, 2010) to action observation ( experiments 1, 2, and 3a) and action imitation ( experiment 3b). With the exception of the language region in the angular gyrus, all language regions, including those in the inferior frontal gyrus (within “Broca’s area”), showed little or no response during action observation/imitation. These results add to the growing body of literature suggesting that high-level language regions are highly selective for language processing (see Fedorenko E, Varley R. Ann NY Acad Sci 1369: 132–153, 2016 for a review). NEW & NOTEWORTHY Many have argued for overlap in the machinery used to interpret language and others’ actions, either because action observation was a precursor to linguistic communication or because both require interpreting hierarchically-structured stimuli. However, existing evidence is indirect, relying on group analyses or reverse inference. We examined responses to action observation in language regions defined functionally in individual participants and found no response. Thus language comprehension and action observation recruit distinct circuits in the modern brain.

The Perception of Voice Onset Time: An fMRI Investigation of Phonetic Category Structure

2005 ◽  
Vol 17 (9) ◽  
pp. 1353-1366 ◽  
Author(s):  
Sheila E. Blumstein ◽  
Emily B. Myers ◽  
Jesse Rissman
Keyword(s):  
Voice Onset Time ◽  
Inferior Frontal Gyrus ◽  
Onset Time ◽  
Superior Temporal Gyrus ◽  
Category Boundary ◽  
Category Membership ◽  
Category Structure ◽  
Angular Gyrus ◽  
Middle Temporal Gyrus ◽  
Phonetic Category

This study explored the neural systems underlying the perception of phonetic category structure by investigating the perception of a voice onset time (VOT) continuum in a phonetic categorization task. Stimuli consisted of five synthetic speech stimuli which ranged in VOT from 0 msec ([da]) to 40 msec ([ta]). Results from 12 subjects showed that the neural system is sensitive to VOT differences of 10 msec and that details of phonetic category structure are retained throughout the phonetic processing stream. Both the left inferior frontal gyrus (IFG) and cingulate showed graded activation as a function of category membership with increasing activation as stimuli approached the phonetic category boundary. These results are consistent with the view that the left IFG is involved in phonetic decision processes, with the extent of activation influenced by increased resources devoted to resolving phonetic category membership and/or selecting between competing phonetic categories. Activation patterns in the cingulate suggest that it is sensitive to stimulus difficulty and resolving response conflict. In contrast, activation in the posterior left middle temporal gyrus and the left angular gyrus showed modulation of activation only to the “best fit” of the phonetic category, suggesting that these areas are involved in mapping sound structure to its phonetic representation. The superior temporal gyrus (STG) bilaterally showed weaker sensitivity to the differences in phonetic category structure, providing further evidence that the STG is involved in the early analysis of the sensory properties of speech.

scholarly journals Dysfunctional and compensatory brain networks underlying math fluency

2019 ◽  
Author(s):  
Michelle AN La ◽  
Debjani Saha ◽  
Karen F Berman ◽  
Hao Yang Tan
Keyword(s):  
Visual Processing ◽  
Effective Connectivity ◽  
Inferior Frontal Gyrus ◽  
Fusiform Gyrus ◽  
Angular Gyrus ◽  
Math Fluency ◽  
Compensatory Mechanisms ◽  
Occupational Outcomes ◽  
Mri Scans ◽  
High Level

AbstractPoor math fluency, or timed calculation (TC) performance, is a characteristic of dyscalculia, a common cause of poor educational and occupational outcomes. Here, we examined neural substrates of dysfunctional math fluency and potential compensatory mechanisms. We performed functional MRI scans of participants with divergent performance on an event-related TC paradigm (poor TC, <0.5 accuracy, n=34; vs. controls, accuracy>0.8, n=34). Individuals with poor TC had decreased intraparietal sulcus (IPS) engagement, and decreased IPS-striatal and IPS-prefrontal effective connectivity. We next examined an independent well-performing sample (TC accuracy>0.8, n=100), stratified according to relatively low-versus high-IPS activation during TC. Relatively reduced IPS engagement, or patterns of IPS-related effective connectivity similar to those with poor TC, appeared to be compensated for by increased engagement of effective connectivity involving fusiform gyrus, angular gyrus, inferior frontal gyrus and striatum. Neural connectivity involving high-level visual processing in fusiform gyrus and related ventral cortical networks may be relevant in compensatory function ameliorating aspects of dyscalculia and mathematical difficulty.

scholarly journals Neuroanatomical dissociations of syntax and semantics revealed by lesion-symptom mapping

2020 ◽  
Author(s):  
William Matchin ◽  
Alexandra Basilakos ◽  
Dirk-Bart den Ouden ◽  
Brielle C. Stark ◽  
Gregory Hickok ◽  
...  
Keyword(s):  
Brain Damage ◽  
Inferior Frontal Gyrus ◽  
Semantic Category ◽  
Brain Regions ◽  
Angular Gyrus ◽  
Middle Temporal Gyrus ◽  
Word Fluency ◽  
Specific Language Impairments ◽  
Lesion Symptom Mapping ◽  
High Level

AbstractIn the early and mid 1800s, scientists debated whether the human brain was functionally differentiated with respect to cognition. The issue was largely resolved when specific language impairments were identified following focal patterns of brain damage. However, neuroimaging has revived this discussion, as many studies find similar syntactic and semantic effects across the set of brain regions implicated in language. Here we address this modern debate using lesion-symptom mapping in two large, partially-overlapping groups of people with left hemisphere brain damage due to stroke (N=121, N=92). We identified multiple measure by region interaction effects, associating damage to the posterior middle temporal gyrus with syntactic comprehension deficits, damage to posterior inferior frontal gyrus with expressive agrammatism, and damage to inferior angular gyrus with semantic category word fluency deficits. Our results are inconsistent with recent hypotheses that regions of the language network play similar roles in high-level linguistic processing.

Motor theory modulated by task load: strategies of phonological processing in frontal aphasia revealed by tDCS over the LIFG

2019 ◽  
Author(s):  
Lílian Rodrigues de Almeida ◽  
Paul A. Pope ◽  
Peter Hansen
Keyword(s):  
Speech Perception ◽  
Speech Production ◽  
Phonological Processing ◽  
Inferior Frontal Gyrus ◽  
Dorsal Stream ◽  
Superior Temporal Gyrus ◽  
Motor Theory ◽  
Task Load ◽  
Cathodal Tdcs ◽  
The Individual

In our previous studies we supported the claim that the motor theory is modulated by task load. Motoric participation in phonological processing increases from speech perception to speech production, with the endpoints of the dorsal stream having changing and complementary weightings for processing: the left inferior frontal gyrus (LIFG) being increasingly relevant and the left superior temporal gyrus (LSTG) being decreasingly relevant. Our previous results for neurostimulation of the LIFG support this model. In this study we investigated whether our claim that the motor theory is modulated by task load holds in (frontal) aphasia. Person(s) with aphasia (PWA) after stroke typically have damage on brain areas responsible for phonological processing. They may present variable patterns of recovery and, consequently, variable strategies of phonological processing. Here these strategies were investigated in two PWA with simultaneous fMRI and tDCS of the LIFG during speech perception and speech production tasks. Anodal tDCS excitation and cathodal tDCS inhibition should increase with the relevance of the target for the task. Cathodal tDCS over a target of low relevance could also induce compensation by the remaining nodes. Responses of PWA to tDCS would further depend on their pattern of recovery. Responses would depend on the responsiveness of the perilesional area, and could be weaker than in controls due to an overall hypoactivation of the cortex. Results suggest that the analysis of motor codes for articulation during phonological processing remains in frontal aphasia and that tDCS is a promising diagnostic tool to investigate the individual processing strategies.

Radiotherapy for Brain Tumors: Current Practice and Future Directions

2020 ◽  
Vol 16 (3) ◽  
pp. 182-195
Author(s):  
Sarah Baker ◽  
Natalie Logie ◽  
Kim Paulson ◽  
Adele Duimering ◽  
Albert Murtha
Keyword(s):  
Brain Tumors ◽  
Treatment Strategies ◽  
Brain Parenchyma ◽  
Benign Tumors ◽  
Tumor Control ◽  
Normal Brain ◽  
Neurocognitive Deficits ◽  
Close Proximity ◽  
Recent Developments ◽  
High Level

Radiotherapy is an important component of the treatment for primary and metastatic brain tumors. Due to the close proximity of critical structures and normal brain parenchyma, Central Nervous System (CNS) radiotherapy is associated with adverse effects such as neurocognitive deficits, which must be weighed against the benefit of improved tumor control. Advanced radiotherapy technology may help to mitigate toxicity risks, although there is a paucity of high-level evidence to support its use. Recent advances have been made in the treatment for gliomas, meningiomas, benign tumors, and metastases, although outcomes remain poor for many high grade tumors. This review highlights recent developments in CNS radiotherapy, discusses common treatment toxicities, critically reviews advanced radiotherapy technologies, and highlights promising treatment strategies to improve clinical outcomes in the future.

scholarly journals Cortical response to naturalistic stimuli is largely predictable with deep neural networks

2021 ◽  
Vol 7 (22) ◽  
pp. eabe7547
Author(s):  
Meenakshi Khosla ◽  
Gia H. Ngo ◽  
Keith Jamison ◽  
Amy Kuceyeski ◽  
Mert R. Sabuncu
Keyword(s):  
Brain Function ◽  
Deep Neural Networks ◽  
Neural Responses ◽  
Dynamic Interactions ◽  
Hierarchical Processing ◽  
Human Connectome Project ◽  
Neural Information ◽  
Neural Information Processing ◽  
Visual Interactions ◽  
High Level

Naturalistic stimuli, such as movies, activate a substantial portion of the human brain, invoking a response shared across individuals. Encoding models that predict neural responses to arbitrary stimuli can be very useful for studying brain function. However, existing models focus on limited aspects of naturalistic stimuli, ignoring the dynamic interactions of modalities in this inherently context-rich paradigm. Using movie-watching data from the Human Connectome Project, we build group-level models of neural activity that incorporate several inductive biases about neural information processing, including hierarchical processing, temporal assimilation, and auditory-visual interactions. We demonstrate how incorporating these biases leads to remarkable prediction performance across large areas of the cortex, beyond the sensory-specific cortices into multisensory sites and frontal cortex. Furthermore, we illustrate that encoding models learn high-level concepts that generalize to task-bound paradigms. Together, our findings underscore the potential of encoding models as powerful tools for studying brain function in ecologically valid conditions.

Neural deficits in auditory phonological processing in Chinese children with English reading impairment

2015 ◽  
Vol 19 (2) ◽  
pp. 331-346 ◽  
Author(s):  
XIANGZHI MENG ◽  
HANLIN YOU ◽  
MEIXIA SONG ◽  
AMY S. DESROCHES ◽  
ZHENGKE WANG ◽  
...  
Keyword(s):  
Second Language ◽  
Phonological Processing ◽  
Inferior Frontal Gyrus ◽  
Superior Temporal Gyrus ◽  
Neural Mechanism ◽  
Reading Impairment ◽  
English Reading ◽  
L2 Learners ◽  
L1 And L2 ◽  
Esl Learners

Auditory phonological processing skills are critical for successful reading development in English not only in native (L1) speakers but also in second language (L2) learners. However, the neural deficits of auditory phonological processing remain unknown in English-as-the-second-language (ESL) learners with reading difficulties. Here we investigated neural responses during spoken word rhyme judgments in typical and impaired ESL readers in China. The impaired readers showed comparable activation in the left superior temporal gyrus (LSTG), but reduced activation in the left inferior frontal gyrus (LIFG) and left fusiform and reduced connectivity between the LSTG and left fusiform when compared to typical readers. These findings suggest that impaired ESL readers have relative intact representations but impaired manipulation of phonology and reduced or absent automatic access to orthographic representations. This is consistent with previous findings in native English speakers and suggests a common neural mechanism underlying English impairment across the L1 and L2 learners.

scholarly journals Quantifying the signals contained in heterogeneous neural responses and determining their relationships with task performance

2014 ◽  
Vol 112 (6) ◽  
pp. 1584-1598 ◽  
Author(s):  
Marino Pagan ◽  
Nicole C. Rust
Keyword(s):  
Task Performance ◽  
Single Neuron ◽  
Weighted Sums ◽  
Neural Responses ◽  
Signal Modulation ◽  
Neural Data ◽  
Match To Sample ◽  
Neural Populations ◽  
Different Types ◽  
High Level

The responses of high-level neurons tend to be mixtures of many different types of signals. While this diversity is thought to allow for flexible neural processing, it presents a challenge for understanding how neural responses relate to task performance and to neural computation. To address these challenges, we have developed a new method to parse the responses of individual neurons into weighted sums of intuitive signal components. Our method computes the weights by projecting a neuron's responses onto a predefined orthonormal basis. Once determined, these weights can be combined into measures of signal modulation; however, in their raw form these signal modulation measures are biased by noise. Here we introduce and evaluate two methods for correcting this bias, and we report that an analytically derived approach produces performance that is robust and superior to a bootstrap procedure. Using neural data recorded from inferotemporal cortex and perirhinal cortex as monkeys performed a delayed-match-to-sample target search task, we demonstrate how the method can be used to quantify the amounts of task-relevant signals in heterogeneous neural populations. We also demonstrate how these intuitive quantifications of signal modulation can be related to single-neuron measures of task performance ( d′).

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