About
26
Publications
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227
Citations
Introduction
Current institution
Additional affiliations
August 2011 - present
Position
- Neurophysiological Mechanisms of Speech in noise
Description
- The research research focuses on the contribution of the efferent neural mechanisms in the perception of speech in noise
July 2007 - September 2007
Position
- Frequency disrimination in Individuals with cochlear hearing loss with and without dead regions
Description
- This Scientific paper was co-authored by me and was presented the 40th annual convention of the Indian Speech and Hearing Association, 2008.
July 2007 - September 2007
Position
- Cortical lateralization of speech: A peek through Auditory Long Latency Responses
Description
- This research was co-authored by me and was presented at the 40th Annual convention of the Indian Speech and hearing Association
Education
May 2014 - January 2019
July 2009 - May 2011
Publications
Publications (26)
Prosody has a vital function in speech, structuring a speaker’s intended message for the listener. The superior temporal gyrus (STG) is considered a critical hub for prosody, but the role of earlier auditory regions like Heschl’s gyrus (HG), associated with pitch processing, remains unclear. Using intracerebral recordings in humans and non-human pr...
Introduction
People with aphasia have been shown to benefit from rhythmic elements for language production during aphasia rehabilitation. However, it is unknown whether rhythmic processing is associated with such benefits. Cortical tracking of the speech envelope (CTenv) may provide a measure of encoding of speech rhythmic properties and serve as a...
Understanding the effects of statistical regularities on speech processing is a central issue in auditory neuroscience. To investigate the effects of distributional covariance on the neural processing of speech features, we introduce and validate a novel approach: decomposition of time-varying signals into patterns of covariation extracted with Pri...
This mini review is aimed at a clinician-scientist seeking to understand the role of oscillations in neural processing and their functional relevance in speech and music perception. We present an overview of neural oscillations, methods used to study them, and their functional relevance with respect to music processing, aging, hearing loss, and dis...
Envelope and frequency-following responses (FFRENV and FFRTFS) are scalp-recorded electrophysiological potentials that closely follow the periodicity of complex sounds such as speech. These signals have been established as important biomarkers in speech and learning disorders. However, despite important advances, it has remained challenging to map...
Extant literature identifies the subcortical auditory system as critical to the encoding of key acoustic features relevant to speech. In this chapter, rather than view the subcortex as “lower-level” passive relay stations exclusively involved in speech encoding, a systems neuroscience approach is adopted that argues for active subcortical-cortical...
Time-varying pitch is a vital cue for human speech perception. Neural processing of time-varying pitch has been extensively assayed using scalp-recorded frequency-following responses (FFRs), an electrophysiological signal thought to reflect integrated phase-locked neural ensemble activity from subcortical auditory areas. Emerging evidence increasin...
The frequency-following response (FFR) is a scalp-recorded electrophysiological potential that closely follows the periodicity of complex sounds such as speech. It has been suggested that FFRs reflect the linear superposition of responses that are triggered by the glottal pulse in each cycle of the fundamental frequency (F0 responses) and sequentia...
Time-varying pitch is a vital cue for human speech perception. Neural processing of time-varying pitch has been extensively assayed using scalp-recorded frequency-following responses (FFRs), an electrophysiological signal thought to reflect integrated phase-locked neural ensemble activity from subcortical auditory areas. Emerging evidence increasin...
Pitch accents are local pitch patterns that convey differences in word prominence and modulate the information structure of the discourse. Despite the importance to discourse in languages like English, neural processing of pitch accents remains understudied. The current study investigates the neural processing of pitch accents by native and non-nat...
The ability to selectively attend to a speech signal amid competing sounds is a significant challenge, especially for listeners trying to comprehend non-native speech. Attention is critical to direct neural processing resources to the most essential information. Here, neural tracking of the speech envelope of an English story narrative and cortical...
Logopenic variant primary progressive aphasia (lvPPA) is a neurodegenerative language disorder primarily characterized by impaired phonological processing. Sentence repetition and comprehension deficits are observed in lvPPA and linked to impaired phonological working memory, but recent evidence also implicates impaired speech perception. Currently...
Objectives:
Understanding speech in adverse listening environments is challenging for older adults. Individual differences in pure tone averages and working memory are known to be critical indicators of speech in noise comprehension. Recent studies have suggested that tracking of the speech envelope in cortical oscillations <8 Hz may be an importa...
The dichotic frequency following responses (FFR) have been used in studies to infer about dichotic auditory processing. In the present study, we hypothesize that the proximity of the binaural neural generators of the FFR would result in interference of the volume-conducted electrical fields. This might lead to contamination of the scalp-recorded di...
Objectives:
The current study proposes a new and fast technique to record the auditory brainstem responses (ABRs) simultaneously (BiSi-ABR) from two ears. The BiSi-ABR technique can be used to record the ABRs two times faster than with a conventional ABR recording method. The objective of the study was to show the proof of concept and to compare t...
Find full text here- http://www.advancedotology.org/sayilar/84/buyuk/5414.pdf
OBJECTIVES: The current study proposes a new and fast technique to record the auditory brainstem responses (ABRs) simultaneously (BiSi-ABR) from two ears. The BiSi-ABR technique can be used to record the ABRs two times faster than with a conventional ABR recording method...
The auditory neural pathway in females appears to be more sensitive to the cry of an infant (De Pisapia et al., 2013; Messina et al., 2016). Cortical responses in females have shown a distinct advantage compared to males in the auditory processing of infant cry. Such gender-bias in the cortical responses might emanate either at higher levels of pro...
Background: The current research finding is the first in reporting impaired auditory and cognitive abilities consequent to chronic exposure to below-damage-risk criteria (DRC) environmental noise in humans. Objective: The objective of this study is to assess the chronic effects of occupational noise below DRC on auditory and cognitive abilities. Me...
Background and Objective: The role of efferent system in auditory perception is very important. To assess this, a reliable measure of efferent functioning is necessary. The efferent suppression of otoacoustic emission lacks good test-retest reliability, and there is a need to look for the reliability of other measures of efferent auditory functioni...
Efferent modulation has been demonstrated to be very important for speech perception, especially in the presence of noise. We examined the functional relationship between two efferent systems: the rostral and caudal efferent pathways and their individual influences on speech perception in noise. Earlier studies have shown that these two efferent me...
Background: It is well known that muscle artifacts negatively affect auditory evoked potential (AEP) recordings. However, the precise relation between the set of muscles involved and the specific AEP affected is not clear. Most audiologists believe that increase in the tension of any muscle in the body would affect all AEPs to the same extent, whil...
The newfound context dependent brainstem encoding of speech is evidence of online regularity detection and modulation of the sub-cortical responses. We studied the influence of spectral structure of the contextual stimulus on context dependent encoding of speech at the brainstem, in an attempt to understand the acoustic basis for this effect. Fourt...
Many studies have shown that fundamental frequency (F0) is represented in the speech evoked Frequency Following Response (FFR), however, it is not clear as to what aspect of the stimulus is the basis for the F0 coding. The energy at the Fo alone is less likely to be the basis, as our ear is less sensitive to very low frequencies which is evident fr...
The speech perception deficit has been attributed mainly to the impaired supra-threshold temporal processing abilities in individuals with auditory dys-synchrony. Most studies on speech perception in auditory dys-synchrony focus on the speech identification scores and not the specific pattern of errors seen. Simulation studies and temporal modifica...
Questions
Questions (4)
Hi all,
Could anyone tell me the distance between the to inferior colliculi in humans. Could you also provide references for the same.
Best,
Nike
Hi all,
Is there a way to extract the frequency modulation spectrum of speech, just like we extract the amplitude modulation spectrum ?
best
Nike
Hi all, It is known that the low spontaneous rate fibres code high intensity information and the high spontaneous rate fibres code low intensity information.
This is known when we present the low intensity or high intensity sounds alone. What will happen if a certain sound has mixtures of low and high intensity information ? Would simultaneous low and high intensity mixtures be differentially coded by the low and high spontaneous rate fibres
Awaiting your valuable inputs
Hi all,
I have been trying to process EEG data in matlab 2009 using the GPU mat. However I am stuck right at the GPUstart command, it gets stuck at the assigning the cubinpath. I can see that the while reading the major and minor revisions of the GPU, the major =5 and minor =0. However, I can't see conditionals in the program for major =5. The max I can see is major =3, for the Kepler architecture.
Can anyone walk me through this process ??
