scholarly journals Rapid cortical plasticity induced by active associative learning of novel words in human adults

2019 ◽  
Author(s):  
Alexandra M. Razorenova ◽  
Boris V. Chernyshev ◽  
Anastasia Yu. Nikolaeva ◽  
Anna V. Butorina ◽  
Andrey O. Prokofyev ◽  
...  
Keyword(s):  
Cortical Plasticity ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Cortical Activity ◽  
Response Amplitude ◽  
Spatiotemporal Pattern ◽  
Time Interval ◽  
Repetition Suppression ◽  
Uniqueness Point ◽  
Hands And Feet

AbstractHuman speech requires that new words are routinely memorized, yet neurocognitive mechanisms of such acquisition of memory remain highly debatable. Major controversy concerns the question whether cortical plasticity related to word learning occurs in neocortical speech-related areas immediately after learning, or neocortical plasticity emerges only on the second day after a prolonged time required for consolidation after learning. The functional spatiotemporal pattern of cortical activity related to such learning also remains largely unknown. In order to address these questions, we examined magnetoencephalographic responses elicited in the cerebral cortex by passive presentations of eight novel pseudowords before and immediately after an operant conditioning task. This associative procedure forced participants to perform an active search for unique meaning of four pseudowords that referred to movements of left and right hands and feet. The other four pseudowords did not require any movement and thus were not associated with any meaning. Familiarization with novel pseudowords led to a bilateral repetition suppression of cortical responses to them; the effect started before or around the uniqueness point and lasted for more than 500 ms. After learning, response amplitude to pseudowords that acquired meaning was greater compared with response amplitude to pseudowords that were not assigned meaning; the effect was significant within 144–362 ms after the uniqueness point, and it was found only in the left hemisphere. Within this time interval, a learning-related selective response initially emerged in cortical areas surrounding the Sylvian fissure: anterior superior temporal sulcus, ventral premotor cortex, the anterior part of intraparietal sulcus and insula. Later within this interval, activation additionally spread to more anterior higher-tier brain regions, and reached the left temporal pole and the triangular part of the left inferior frontal gyrus extending to its orbital part. Altogether, current findings evidence rapid plastic changes in cortical representations of meaningful auditory word-forms occurring almost immediately after learning. Additionally, our results suggest that familiarization resulting from stimulus repetition and semantic acquisition resulting from an active learning procedure have separable effects on cortical activity.

scholarly journals Motor Cortical Activity During Drawing Movements: Population Representation During Spiral Tracing

1999 ◽  
Vol 82 (5) ◽  
pp. 2693-2704 ◽  
Author(s):  
Daniel W. Moran ◽  
Andrew B. Schwartz
Keyword(s):  
Motor Cortex ◽  
Primary Motor Cortex ◽  
Prediction Interval ◽  
Premotor Cortex ◽  
Cortical Activity ◽  
Simultaneous Action ◽  
Emg Activity ◽  
Radius Of Curvature ◽  
Time Interval ◽  
Population Vector

Monkeys traced spirals on a planar surface as unitary activity was recorded from either premotor or primary motor cortex. Using the population vector algorithm, the hand's trajectory could be accurately visualized with the cortical activity throughout the task. The time interval between this prediction and the corresponding movement varied linearly with the instantaneous radius of curvature; the prediction interval was longer when the path of the finger was more curved (smaller radius). The intervals in the premotor cortex fell into two groups, whereas those in the primary motor cortex formed a single group. This suggests that the change in prediction interval is a property of a single population in primary motor cortex, with the possibility that this outcome is due to the different properties generated by the simultaneous action of separate subpopulations in premotor cortex. Electromyographic (EMG) activity and joint kinematics were also measured in this task. These parameters varied harmonically throughout the task with many of the same characteristics as those of single cortical cells. Neither the lags between joint-angular velocities and hand velocity nor the lags between EMG and hand velocity could explain the changes in prediction interval between cortical activity and hand velocity. The simple spatial and temporal relationship between cortical activity and finger trajectory suggests that the figural aspects of this task are major components of cortical activity.

Adaptive Coding of Orofacial and Speech Actions in Motor and Somatosensory Spaces with and without Overt Motor Behavior

2015 ◽  
Vol 27 (2) ◽  
pp. 334-351 ◽  
Author(s):  
Marc Sato ◽  
Coriandre Vilain ◽  
Laurent Lamalle ◽  
Krystyna Grabski
Keyword(s):  
Adaptive Learning ◽  
Motor Behavior ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Neural Responses ◽  
Repetition Suppression ◽  
Superior Parietal Cortex ◽  
Posterior Parietal ◽  
Reduced Activity ◽  
Motor Acts

Studies of speech motor control suggest that articulatory and phonemic goals are defined in multidimensional motor, somatosensory, and auditory spaces. To test whether motor simulation might rely on sensory–motor coding common with those for motor execution, we used a repetition suppression (RS) paradigm while measuring neural activity with sparse sampling fMRI during repeated overt and covert orofacial and speech actions. RS refers to the phenomenon that repeated stimuli or motor acts lead to decreased activity in specific neural populations and are associated with enhanced adaptive learning related to the repeated stimulus attributes. Common suppressed neural responses were observed in motor and posterior parietal regions in the achievement of both repeated overt and covert orofacial and speech actions, including the left premotor cortex and inferior frontal gyrus, the superior parietal cortex and adjacent intraprietal sulcus, and the left IC and the SMA. Interestingly, reduced activity of the auditory cortex was observed during overt but not covert speech production, a finding likely reflecting a motor rather an auditory imagery strategy by the participants. By providing evidence for adaptive changes in premotor and associative somatosensory brain areas, the observed RS suggests online state coding of both orofacial and speech actions in somatosensory and motor spaces with and without motor behavior and sensory feedback.

Inducing Cortical Plasticity to Manipulate and Consolidate Subjective Time Interval Production

2021 ◽  
Author(s):  
Motoyasu Honma ◽  
Shoko Saito ◽  
Takeshi Atsumi ◽  
Shin‐ichi Tokushige ◽  
Satomi Inomata‐Terada ◽  
...  
Keyword(s):  
Cortical Plasticity ◽  
Time Interval ◽  
Subjective Time ◽  
Interval Production

scholarly journals Disentangling Mathematics from Executive Functions by Investigating Unique Functional Connectivity Patterns Predictive of Mathematics Ability

2019 ◽  
Vol 31 (4) ◽  
pp. 560-573 ◽  
Author(s):  
Kenny Skagerlund ◽  
Taylor Bolt ◽  
Jason S. Nomi ◽  
Mikael Skagenholt ◽  
Daniel Västfjäll ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Mathematical Ability ◽  
Angular Gyrus ◽  
Intraparietal Sulcus ◽  
Supramarginal Gyrus ◽  
Connectivity Patterns ◽  
The Right

What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.

scholarly journals Prefrontal cortical plasticity during learning of cognitive tasks

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Hua Tang ◽  
Mitchell R. Riley ◽  
Balbir Singh ◽  
Xue-Lian Qi ◽  
David T. Blake ◽  
...  
Keyword(s):  
Neural Activity ◽  
Cortical Plasticity ◽  
Cortical Activity ◽  
Phase Changes ◽  
Cognitive Tasks ◽  
Training Phase ◽  
Field Potentials ◽  
Electrode Arrays ◽  
Control Task ◽  
Prefrontal Cortical

AbstractTraining in working memory tasks is associated with lasting changes in prefrontal cortical activity. To assess the neural activity changes induced by training, we recorded single units, multi-unit activity (MUA) and local field potentials (LFP) with chronic electrode arrays implanted in the prefrontal cortex of two monkeys, throughout the period they were trained to perform cognitive tasks. Mastering different task phases was associated with distinct changes in neural activity, which included recruitment of larger numbers of neurons, increases or decreases of their firing rate, changes in the correlation structure between neurons, and redistribution of power across LFP frequency bands. In every training phase, changes induced by the actively learned task were also observed in a control task, which remained the same across the training period. Our results reveal how learning to perform cognitive tasks induces plasticity of prefrontal cortical activity, and how activity changes may generalize between tasks.

scholarly journals Discerning the functional networks behind processing of music and speech through human vocalizations

2018 ◽  
Author(s):  
Arafat Angulo-Perkins ◽  
Luis Concha
Keyword(s):  
Speech Processing ◽  
Music Perception ◽  
Right Hemisphere ◽  
Musical Training ◽  
Inferior Frontal Gyrus ◽  
Functional Divergence ◽  
Premotor Cortex ◽  
Superior Temporal Gyrus ◽  
Magnetic Resonance Images ◽  
Biological Traits

ABSTRACT Musicality refers to specific biological traits that allow us to perceive, generate and enjoy music. These abilities can be studied at different organizational levels (e.g., behavioural, physiological, evolutionary), and all of them reflect that music and speech processing are two different cognitive domains. Previous research has shown evidence of this functional divergence in auditory cortical regions in the superior temporal gyrus (such as the planum polare), showing increased activity upon listening to music, as compared to other complex acoustic signals. Here, we examine brain activity underlying vocal music and speech perception, while we compare musicians and non-musicians. We designed a stimulation paradigm using the same voice to produce spoken sentences, hummed melodies, and sung sentences; the same sentences were used in speech and song categories, and the same melodies were used in the musical categories (song and hum). Participants listened to this paradigm while we acquired functional magnetic resonance images (fMRI). Different analyses demonstrated greater involvement of specific auditory and motor regions during music perception, as compared to speech vocalizations. This music sensitive network includes bilateral activation of the planum polare and temporale, as well as a group of regions lateralized to the right hemisphere that included the supplementary motor area, premotor cortex and the inferior frontal gyrus. Our results show that the simple act of listening to music generates stronger activation of motor regions, possibly preparing us to move following the beat. Vocal musical listening, with and without lyrics, is also accompanied by a higher modulation of specific secondary auditory cortices such as the planum polare, confirming its crucial role in music processing independently of previous musical training. This study provides more evidence showing that music perception enhances audio-sensorimotor activity, crucial for clinical approaches exploring music based therapies to improve communicative and motor skills.

Memory Effects of Speech and Gesture Binding: Cortical and Hippocampal Activation in Relation to Subsequent Memory Performance

2009 ◽  
Vol 21 (4) ◽  
pp. 821-836 ◽  
Author(s):  
Benjamin Straube ◽  
Antonia Green ◽  
Susanne Weis ◽  
Anjan Chatterjee ◽  
Tilo Kircher
Keyword(s):  
Visual Information ◽  
Memory Performance ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Recognition Task ◽  
Semantic Integration ◽  
Middle Temporal Gyrus ◽  
Neural Basis ◽  
Fmri Session ◽  
Abstract Content

In human face-to-face communication, the content of speech is often illustrated by coverbal gestures. Behavioral evidence suggests that gestures provide advantages in the comprehension and memory of speech. Yet, how the human brain integrates abstract auditory and visual information into a common representation is not known. Our study investigates the neural basis of memory for bimodal speech and gesture representations. In this fMRI study, 12 participants were presented with video clips showing an actor performing meaningful metaphoric gestures (MG), unrelated, free gestures (FG), and no arm and hand movements (NG) accompanying sentences with an abstract content. After the fMRI session, the participants performed a recognition task. Behaviorally, the participants showed the highest hit rate for sentences accompanied by meaningful metaphoric gestures. Despite comparable old/new discrimination performances (d′) for the three conditions, we obtained distinct memory-related left-hemispheric activations in the inferior frontal gyrus (IFG), the premotor cortex (BA 6), and the middle temporal gyrus (MTG), as well as significant correlations between hippocampal activation and memory performance in the metaphoric gesture condition. In contrast, unrelated speech and gesture information (FG) was processed in areas of the left occipito-temporal and cerebellar region and the right IFG just like the no-gesture condition (NG). We propose that the specific left-lateralized activation pattern for the metaphoric speech–gesture sentences reflects semantic integration of speech and gestures. These results provide novel evidence about the neural integration of abstract speech and gestures as it contributes to subsequent memory performance.

scholarly journals The neural basis of temporal individuation and its capacity limits in the human brain

2017 ◽  
Vol 118 (5) ◽  
pp. 2601-2613
Author(s):  
Claire K. Naughtin ◽  
Benjamin J. Tamber-Rosenau ◽  
Paul E. Dux
Keyword(s):  
Human Brain ◽  
Premotor Cortex ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Repetition Blindness ◽  
Neural Basis ◽  
Related Factors ◽  
Regional Patterns ◽  
Repetition Suppression ◽  
Capacity Limit

Individuation refers to individualsʼ use of spatial and temporal properties to register objects as distinct perceptual events relative to other stimuli. Although behavioral studies have examined both spatial and temporal individuation, neuroimaging investigations have been restricted to the spatial domain and at relatively late stages of information processing. Here, we used univariate and multivoxel pattern analyses of functional MRI data to identify brain regions involved in individuating temporally distinct visual items and the neural consequences that arise when this process reaches its capacity limit (repetition blindness, RB). First, we found that regional patterns of blood-oxygen-level-dependent activity across the cortex discriminated between instances where repeated and nonrepeated stimuli were successfully individuated—conditions that placed differential demands on temporal individuation. These results could not be attributed to repetition suppression or other stimulus-related factors, task difficulty, regional activation differences, other capacity-limited processes, or artifacts in the data or analyses. Contrary to current theoretical models, this finding suggests that temporal individuation is supported by a distributed set of brain regions, rather than a single neural correlate. Second, conditions that reflect the capacity limit of individuation—instances of RB—lead to changes in the spatial patterns within this network, as well as amplitude changes in the left hemisphere premotor cortex, superior medial frontal cortex, anterior cingulate cortex, and bilateral parahippocampal place area. These findings could not be attributed to response conflict/ambiguity and likely reflect the core brain regions and mechanisms that underlie the capacity-limited process that gives rise to RB.NEW & NOTEWORTHY We present novel findings into the neural bases of temporal individuation and repetition blindness (RB)—the perceptual deficit that arises when this process reaches its capacity limit. Specifically, we found that temporal individuation is a widely distributed process in the brain and identified a number of candidate brain regions that appear to underpin RB. These findings enhance our understanding of how these fundamental perceptual processes are reflected in the human brain.

Control of breathing and volitional respiratory rhythm in humans

2009 ◽  
Vol 106 (3) ◽  
pp. 904-910 ◽  
Author(s):  
Philippe Haouzi ◽  
Harold J. Bell
Keyword(s):  
Dead Space ◽  
Minute Ventilation ◽  
Premotor Cortex ◽  
Respiratory Rhythm ◽  
Background Level ◽  
Rhythmic Activity ◽  
Auditory Signal ◽  
Time Interval ◽  
Space Condition ◽  
Dead Space Ventilation

When breathing frequency (f) is imperceptibly increased during a volitionally paced respiratory rhythm imposed by an auditory signal, tidal volume (Vt) decreases such that minute ventilation (V̇e) rises according to f-induced dead-space ventilation changes ( 18 ). As a result, significant change in alveolar ventilation and Pco2 are prevented as f varies. The present study was performed to determine what regulatory properties are retained by the respiratory control system, wherein the spontaneous automatic rhythmic activity is replaced by a volitionally paced rhythm. Six volunteers were asked to trigger each breath cycle on hearing a brief auditory signal. The time interval between subsequent auditory signals was imperceptibly changed for 10–15 min, during 1) air breathing ( condition 1), 2) the addition of a 300 ml of instrumental dead space ( condition 2), 3) an increase in the inspired level of CO2 ( condition 3), and 4) light exercise ( condition 4). We found that as f was slowly increased the elaborated Vt decreased in accordance to the background level of CO2 and metabolic rate. Indeed, for any given breath duration, Vt was shifted upward in condition 2 vs. 1, whereas the slope of Vt changes according to the volitionally rhythm was much steeper in conditions 3 and 4 vs. 1. The resulting changes in V̇e offset any f-induced changes in dead-space ventilation in all conditions. We conclude that there is an inherent, fundamental mechanism that elaborates Vt based on f when imposed by the premotor cortex in humans. The chemoreflex and exercise drive to breath interacts with this cortically mediated rhythm maintaining alveolar rather than V̇e constant as f changes. The implications of our findings are discussed in the context of our current understanding of the central generation of breathing rhythm.

Functional anatomy of inner speech and auditory verbal imagery

1996 ◽  
Vol 26 (1) ◽  
pp. 29-38 ◽  
Author(s):  
P. K. McGuire ◽  
D. A. Silbersweig ◽  
R. M. Murray ◽  
A. S. David ◽  
R. S. J. Frackowiak ◽  
...  
Keyword(s):  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Temporal Cortex ◽  
Functional Anatomy ◽  
Inner Speech ◽  
Imagery Condition ◽  
Positron Emission ◽  
Speech Generation ◽  
Verbal Imagery ◽  
Increased Activity

SynopsisThe neural correlates of inner speech and of auditory verbal imagery were examined in normal volunteers, using positron emission tomography (PET). Subjects were shown single words which they used to generate short, stereotyped sentences without speaking. In an inner speech task, sentences were silently articulated, while in an auditory verbal imagery condition, subjects imagined sentences being spoken to them in an another person's voice. Inner speech was associated with increased activity in the left inferior frontal gyrus. Auditory verbal imagery was associated with increases in the same region, and in the left premotor cortex, the supplementary motor area and the left temporal cortex. The data suggest that the silent articulation of sentences involves activity in an area concerned with speech generation, while imagining speech is associated with additional activity in regions associated with speech perception.

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