Sara Guediche

Cerebellar contributions to verbal working memory: beyond cognitive theory

Neuropsychological findings together with recent advances in neuroanatomical and neuroimaging techniques have spurred the investigation of cerebellar contributions to cognition. One cognitive process that has been the focus of much research is working memory, in particular its verbal component. Influenced by Baddeley’s cognitive theory of working memory, cerebellar activation during verbal working memory tasks has been predominantly attributed to the cerebellum’s involvement in an articulatory rehearsal network. Recent neuroimaging and neuropsychological findings are inconsistent with a simple motor view of the cerebellum’s function in verbal working memory. The present article examines these findings and their implications for an articulatory rehearsal proposal of cerebellar function. Moving beyond cognitive theory, we propose two alternative explanations for cerebellar involvement in verbal working memory: Error-driven adjustment and internal timing. These general theories of cerebellar function have been successfully adapted from the motor literature to explain cognitive functions of the cerebellum. We argue that these theories may also provide a useful framework to understand the non-motor contributions of the cerebellum to verbal working memory.

Speech perception under adverse conditions: insights from behavioral, computational, and neuroscience research.

Adult speech perception reflects the long-term regularities of the native language, but it is also flexible such that it accommodates and adapts to adverse listening conditions and short-term deviations from native-language norms. The purpose of this article is to examine how the broader neuroscience literature can inform and advance research efforts in understanding the neural basis of flexibility and adaptive plasticity in speech perception. Specifically, we highlight the potential role of learning algorithms that rely on prediction error signals and discuss specific neural structures that are likely to contribute to such learning. To this end, we review behavioral studies, computational accounts, and neuroimaging findings related to adaptive plasticity in speech perception. Already, a few studies have alluded to a potential role of these mechanisms in adaptive plasticity in speech perception. Furthermore, we consider research topics in neuroscience that offer insight into how perception can be adaptively tuned to short-term deviations while balancing the need to maintain stability in the perception of learned long-term regularities. Consideration of the application and limitations of these algorithms in characterizing flexible speech perception under adverse conditions promises to inform theoretical models of speech.

Evidence for Cerebellar Contributions to Adaptive Plasticity in Speech Perception

Human speech perception rapidly adapts to maintain comprehension under adverse listening conditions. For example, with exposure listeners can adapt to heavily accented speech produced by a non-native speaker. Outside the domain of speech perception, adaptive changes in sensory and motor processing have been attributed to cerebellar functions. The present functional magnetic resonance imaging study investigates whether adaptation in speech perception also involves the cerebellum. Acoustic stimuli were distorted using a vocoding plus spectral-shift manipulation and presented in a word recognition task. Regions in the cerebellum that showed differences before versus after adaptation were identified, and the relationship between activity during adaptation and subsequent behavioral improvements was examined. These analyses implicated the right Crus I region of the cerebellum in adaptive changes in speech perception. A functional correlation analysis with the right Crus I as a seed region probed for cerebral cortical regions with covarying hemodynamic responses during the adaptation period. The results provided evidence of a functional network between the cerebellum and language-related regions in the temporal and parietal lobes of the cerebral cortex. Consistent with known cerebellar contributions to sensorimotor adaptation, cerebro-cerebellar interactions may support supervised learning mechanisms that rely on sensory prediction error signals in speech perception.

An fMRI examination of the effects of acoustic-phonetic and lexical competition on access to the lexical-semantic network

The current study explored how factors of acoustic-phonetic and lexical competition affect access to the lexical-semantic network during spoken word recognition. An auditory semantic priming lexical decision task was presented to subjects while in the MR scanner. Prime-target pairs consisted of prime words with the initial voiceless stop consonants /p/, /t/, and /k/ followed by word and nonword targets. To examine the neural consequences of lexical and sound structure competition, primes either had voiced minimal pair competitors or they did not, and they were either acoustically modified to be poorer exemplars of the voiceless phonetic category or not. Neural activation associated with semantic priming (Unrelated-Related conditions) revealed a bilateral fronto-temporo-parietal network. Within this network, clusters in the left insula/inferior frontal gyrus (IFG), left superior temporal gyrus (STG), and left posterior middle temporal gyrus (pMTG) showed sensitivity to lexical competition. The pMTG also demonstrated sensitivity to acoustic modification, and the insula/IFG showed an interaction between lexical competition and acoustic modification. These findings suggest the posterior lexical-semantic network is modulated by both acoustic-phonetic and lexical structure, and that the resolution of these two sources of competition recruits frontal structures.

Adaptive plasticity in speech perception: Effects of external information and internal predictions.

When listeners encounter speech under adverse listening conditions, adaptive adjustments in perception can improve comprehension over time. In some cases, these adaptive changes require the presence of external information that disambiguates the distorted speech signals, whereas in other cases mere exposure is sufficient. Both external (e.g., written feedback) and internal (e.g., prior word knowledge) sources of information can be used to generate predictions about the correct mapping of a distorted speech signal. We hypothesize that these predictions provide a basis for determining the discrepancy between the expected and actual speech signal that can be used to guide adaptive changes in perception. This study provides the first empirical investigation that manipulates external and internal factors through (a) the availability of explicit external disambiguating information via the presence or absence of postresponse orthographic information paired with a repetition of the degraded stimulus, and (b) the accuracy of internally generated predictions; an acoustic distortion is introduced either abruptly or incrementally. The results demonstrate that the impact of external information on adaptive plasticity is contingent upon whether the intelligibility of the stimuli permits accurate internally generated predictions during exposure. External information sources enhance adaptive plasticity only when input signals are severely degraded and cannot reliably access internal predictions. This is consistent with a computational framework for adaptive plasticity in which error-driven supervised learning relies on the ability to compute sensory prediction error signals from both internal and external sources of information. (PsycINFO Database Record

Facilitating perception of speech in babble through conceptual relationships

Speech perception is influenced by many different sources of information. Here we examine whether auditorily presented conceptual/semantic information facilitates the perception of degraded speech. To this end, acoustically clear sentences preceded sentences presented in speech babble. These sentence pairs were either conceptually related, conceptually unrelated, or the same. The conceptually related and unrelated sentence pairs did not share any content words. Behavioral results show the highest accuracy for the same condition, followed by the conceptually related condition. The worst performance was in the unrelated condition. We then examined the neural substrates of this effect using fMRI. Preliminary results show that a direct contrast between related and unrelated sentences recruits a semantic/conceptual network including fronto-parietal and subcortical areas. The same sentence pair condition showed relatively greater activation in the superior temporal gyrus compared to the other two conditions. Th...

Neural substrates of subphonemic variation and lexical competition in spoken word recognition

ABSTRACT In spoken word recognition, subphonemic variation influences lexical activation, with sounds near a category boundary increasing phonetic competition as well as lexical competition. The current study investigated the interplay of these factors using a visual world task in which participants were instructed to look at a picture of an auditory target (e.g. peacock). Eyetracking data indicated that participants were slowed when a voiced onset competitor (e.g. beaker) was also displayed, and this effect was amplified when acoustic-phonetic competition was increased. Simultaneously-collected fMRI data showed that several brain regions were sensitive to the presence of the onset competitor, including the supramarginal, middle temporal, and inferior frontal gyri, and functional connectivity analyses revealed that the coordinated activity of left frontal regions depends on both acoustic-phonetic and lexical factors. Taken together, results suggest a role for frontal brain structures in resolving lexical competition, particularly as atypical acoustic-phonetic information maps on to the lexicon.