scholarly journals Spatial band-pass filtering aids decoding musical genres from auditory cortex 7T fMRI

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 142
Author(s):  
Ayan Sengupta ◽  
Stefan Pollmann ◽  
Michael Hanke
Keyword(s):  
Auditory Cortex ◽  
Brain Activity ◽  
Activity Patterns ◽  
Primary Auditory Cortex ◽  
Sensory Stimulation ◽  
Spatial Filtering ◽  
Visual Orientation ◽  
Analysis Strategy ◽  
Musical Genres ◽  
7T Fmri

Spatial filtering strategies, combined with multivariate decoding analysis of BOLD images, have been used to investigate the nature of the neural signal underlying the discriminability of brain activity patterns evoked by sensory stimulation – primarily in the visual cortex. Previous research indicates that such signals are spatially broadband in nature, and are not primarily comprised of fine-grained activation patterns. However, it is unclear whether this is a general property of the BOLD signal, or whether it is specific to the details of employed analyses and stimuli. Here we applied an analysis strategy from a previous study on decoding visual orientation from V1 to publicly available, high-resolution 7T fMRI on the response BOLD response to musical genres in primary auditory cortex. The results show that the pattern of decoding accuracies with respect to different types and levels of spatial filtering is comparable to that obtained from V1, despite considerable differences in the respective cortical circuitry.

scholarly journals Spatial band-pass filtering aids decoding musical genres from auditory cortex 7T fMRI

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 142 ◽  
Author(s):  
Ayan Sengupta ◽  
Stefan Pollmann ◽  
Michael Hanke
Keyword(s):  
Auditory Cortex ◽  
Brain Activity ◽  
Activity Patterns ◽  
Primary Auditory Cortex ◽  
Sensory Stimulation ◽  
Spatial Filtering ◽  
Visual Orientation ◽  
Fine Grained ◽  
Musical Genres ◽  
7T Fmri

Spatial filtering strategies, combined with multivariate decoding analysis of BOLD images, have been used to investigate the nature of the neural signal underlying the discriminability of brain activity patterns evoked by sensory stimulation -- primarily in the visual cortex. Reported evidence indicates that such signals are spatially broadband in nature, and are not primarily comprised of fine-grained activation patterns. However, it is unclear whether this is a general property of the BOLD signal, or whether it is specific to the details of employed analyses and stimuli. Here we performed an analysis of publicly available, high-resolution 7T fMRI on the response BOLD response to musical genres in primary auditory cortex that matches a previously conducted study on decoding visual orientation from V1.  The results show that the pattern of decoding accuracies with respect to different types and levels of spatial filtering is comparable to that obtained from V1, despite considerable differences in the respective cortical circuitry.

scholarly journals Music-selective neural populations arise without musical training

2021 ◽  
Author(s):  
Dana Boebinger ◽  
Samuel Norman-Haignere ◽  
Josh H. McDermott ◽  
Nancy Kanwisher
Keyword(s):  
Auditory Cortex ◽  
Human Brain ◽  
Recent Work ◽  
Musical Training ◽  
Primary Auditory Cortex ◽  
Anatomical Distribution ◽  
Balinese Gamelan ◽  
Neural Populations ◽  
Response Profile ◽  
Musical Genres

Recent work has shown that human auditory cortex contains neural populations anterior and posterior to primary auditory cortex that respond selectively to music. However, it is unknown how this selectivity for music arises. To test whether musical training is necessary, we measured fMRI responses to 192 natural sounds in 10 people with almost no musical training. When voxel responses were decomposed into underlying components, this group exhibited a music-selective component that was very similar in response profile and anatomical distribution to that previously seen in individuals with moderate musical training. We also found that musical genres that were less familiar to our participants (e.g., Balinese gamelan) produced strong responses within the music component, as did drum clips with rhythm but little melody, suggesting that these neural populations are broadly responsive to music as a whole. Our findings demonstrate that the signature properties of neural music selectivity do not require musical training to develop, showing that the music-selective neural populations are a fundamental and widespread property of the human brain.

scholarly journals Spatiotemporal structure of sensory-evoked and spontaneous activity revealed by mesoscale imaging in anesthetized and awake mice

2020 ◽  
Author(s):  
Navvab Afrashteh ◽  
Samsoon Inayat ◽  
Edgar Bermudez Contreras ◽  
Artur Luczak ◽  
Bruce L. McNaughton ◽  
...  
Keyword(s):  
Spontaneous Activity ◽  
Brain Activity ◽  
Activity Patterns ◽  
Sensory Stimulation ◽  
Wide Field ◽  
Evoked Responses ◽  
Evoked Activity ◽  
Cortical Regions ◽  
The One ◽  
Sensory Evoked

AbstractBrain activity propagates across the cortex in diverse spatiotemporal patterns, both as a response to sensory stimulation and during spontaneous activity. Despite been extensively studied, the relationship between the characteristics of such patterns during spontaneous and evoked activity is not completely understood. To investigate this relationship, we compared visual, auditory, and tactile evoked activity patterns elicited with different stimulus strengths and spontaneous activity motifs in lightly anesthetized and awake mice using mesoscale wide-field voltage-sensitive dye and glutamate imaging respectively. The characteristics of cortical activity that we compared include amplitude, speed, direction, and complexity of propagation trajectories in spontaneous and evoked activity patterns. We found that the complexity of the propagation trajectories of spontaneous activity, quantified as their fractal dimension, is higher than the one from sensory evoked responses. Moreover, the speed and direction of propagation, are modulated by the amplitude during both, spontaneous and evoked activity. Finally, we found that spontaneous activity had similar amplitude and speed when compared to evoked activity elicited with low stimulus strengths. However, this similarity gradually decreased when the strength of stimuli eliciting evoked responses increased. Altogether, these findings are consistent with the fact that even primary sensory areas receive widespread inputs from other cortical regions, and that, during rest, the cortex tends to reactivate traces of complex, multi-sensory experiences that may have occurred in a range of different behavioural contexts.

scholarly journals Thalamocortical and intracortical contributions to stimulus-evoked and oscillatory activity in rodent primary auditory cortex

2021 ◽  
Author(s):  
Marcus Jeschke ◽  
Frank W. Ohl
Keyword(s):  
Auditory Cortex ◽  
Computational Models ◽  
Frequency Tuning ◽  
Current Source ◽  
Primary Auditory Cortex ◽  
Sensory Stimulation ◽  
Gamma Oscillations ◽  
Oscillatory Activity ◽  
Mongolian Gerbils ◽  
Horizontal Connections

Intracortical, horizontal connections seem ideally suited to contribute to cortical processing by spreading information across cortical space and coordinating activity between distant cortical sites. In sensory systems experiments have implicated horizontal connections in the generation of receptive fields and have in turn led to computational models of receptive field generation that rely on the contribution of horizontal connections. Testing the contribution of horizontal connections at the mesoscopic level has been difficult due to the lack of a suitable method to observe the activity of intracortical horizontal connections. Here, we develop such a method based on the analysis of the relative residues of the cortical laminar current source density reconstructions. In the auditory cortex of Mongolian gerbils, the method is then tested by manipulating the contribution of horizontal connections by surgical dissection. Our results indicate that intracortical horizontal connections contribute to the frequency-tuning of mesoscopic cortical patches. Futhermore, we dissociated a type of cortical gamma oscillation based on horizontal connections between mesoscopic patches from gamma oscillations locally generated within mesoscopic patches. The data further imply that global and local coordination of activity during sensory stimulation occur in a low and high gamma frequency band, respectively. Taken together the present data demonstrate that intracortical horizontal connections play an important role in generating cortical feature tuning and coordinate neuronal oscillations across cortex.

scholarly journals Multivoxel codes for representing and integrating acoustic features in human cortex

2019 ◽  
Author(s):  
Ediz Sohoglu ◽  
Sukhbinder Kumar ◽  
Maria Chait ◽  
Timothy D. Griffiths
Keyword(s):  
Auditory Cortex ◽  
Parietal Cortex ◽  
Posterior Parietal Cortex ◽  
Activity Patterns ◽  
Primary Auditory Cortex ◽  
Neural Representation ◽  
Acoustic Features ◽  
Human Cortex ◽  
Spectral Frequency ◽  
Multivariate Pattern

AbstractUsing fMRI and multivariate pattern analysis, we determined whether acoustic features are represented by independent or integrated neural codes in human cortex. Male and female listeners heard band-pass noise varying simultaneously in spectral (frequency) and temporal (amplitude-modulation [AM] rate) features. In the superior temporal plane, changes in multivoxel activity due to frequency were largely invariant with respect to AM rate (and vice versa), consistent with an independent representation. In contrast, in posterior parietal cortex, neural representation was exclusively integrated and tuned to specific conjunctions of frequency and AM features. Direct between-region comparisons show that whereas independent coding of frequency and AM weakened with increasing levels of the hierarchy, integrated coding strengthened at the transition between non-core and parietal cortex. Our findings support the notion that primary auditory cortex can represent component acoustic features in an independent fashion and suggest a role for parietal cortex in feature integration and the structuring of acoustic input.Significance statementA major goal for neuroscience is discovering the sensory features to which the brain is tuned and how those features are integrated into cohesive perception. We used whole-brain human fMRI and a statistical modeling approach to quantify the extent to which sound features are represented separately or in an integrated fashion in cortical activity patterns. We show that frequency and AM rate, two acoustic features that are fundamental to characterizing biological important sounds such as speech, are represented separately in primary auditory cortex but in an integrated fashion in parietal cortex. These findings suggest that representations in primary auditory cortex can be simpler than previously thought and also implicate a role for parietal cortex in integrating features for coherent perception.

Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns

2018 ◽  
pp. 524-533 ◽  
Author(s):  
Dounia Mulders ◽  
Cyril de Bodt ◽  
Nicolas Lejeune ◽  
André Mouraux ◽  
Michel Verleysen
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Spatial Filtering ◽  
Eeg Signals

scholarly journals High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music

2022 ◽  
pp. 1-16
Author(s):  
Jamal A. Williams ◽  
Elizabeth H. Margulis ◽  
Samuel A. Nastase ◽  
Janice Chen ◽  
Uri Hasson ◽  
...  
Keyword(s):  
Auditory Cortex ◽  
Brain Activity ◽  
Activity Patterns ◽  
Brain Regions ◽  
Event Structure ◽  
Higher Order ◽  
Angular Gyrus ◽  
Default Mode ◽  
Medial Pfc ◽  
High Level

Abstract Recent fMRI studies of event segmentation have found that default mode regions represent high-level event structure during movie watching. In these regions, neural patterns are relatively stable during events and shift at event boundaries. Music, like narratives, contains hierarchical event structure (e.g., sections are composed of phrases). Here, we tested the hypothesis that brain activity patterns in default mode regions reflect the high-level event structure of music. We used fMRI to record brain activity from 25 participants (male and female) as they listened to a continuous playlist of 16 musical excerpts and additionally collected annotations for these excerpts by asking a separate group of participants to mark when meaningful changes occurred in each one. We then identified temporal boundaries between stable patterns of brain activity using a hidden Markov model and compared the location of the model boundaries to the location of the human annotations. We identified multiple brain regions with significant matches to the observer-identified boundaries, including auditory cortex, medial pFC, parietal cortex, and angular gyrus. From these results, we conclude that both higher-order and sensory areas contain information relating to the high-level event structure of music. Moreover, the higher-order areas in this study overlap with areas found in previous studies of event perception in movies and audio narratives, including regions in the default mode network.

scholarly journals Music-selective neural populations arise without musical training

2020 ◽  
Author(s):  
Dana Boebinger ◽  
Sam Norman-Haignere ◽  
Josh McDermott ◽  
Nancy Kanwisher
Keyword(s):  
Auditory Cortex ◽  
Human Brain ◽  
Recent Work ◽  
Musical Training ◽  
Primary Auditory Cortex ◽  
Natural Sounds ◽  
Anatomical Distribution ◽  
Neural Populations ◽  
Response Profile ◽  
Musical Genres

ABSTRACTRecent work has shown that human auditory cortex contains neural populations anterior and posterior to primary auditory cortex that respond selectively to music. However, it is unknown how this selectivity for music arises. To test whether musical training is necessary, we measured fMRI responses to 192 natural sounds in 10 people with almost no musical training. When voxel responses were decomposed into underlying components, this group exhibited a music-selective component that was very similar in response profile and anatomical distribution to that previously seen in individuals with moderate musical training. We also found that musical genres that were less familiar to our participants (e.g., Balinese gamelan) produced strong responses within the music component, as did drum clips with rhythm but little melody, suggesting that these neural populations are broadly responsive to music as a whole. Our findings demonstrate that the signature properties of neural music selectivity do not require musical training to develop, demonstrating the music-selective neural populations are a fundamental and widespread property of the human brain.

scholarly journals Microsleep is associated with brain activity patterns unperturbed by auditory inputs

2019 ◽  
Vol 122 (6) ◽  
pp. 2568-2575
Author(s):  
Zixin Yong ◽  
Joo Huang Tan ◽  
Po-Jang Hsieh
Keyword(s):  
Auditory Cortex ◽  
Brain Activity ◽  
Activity Patterns ◽  
Brain Regions ◽  
Auditory Stimulation ◽  
Simple Task ◽  
Highly Active ◽  
Early Afternoon ◽  
Mri Scans ◽  
The Brain

Microsleeps are brief episodes of arousal level decrease manifested through behavioral signs. Brain activity during microsleep in the presence of external stimulus remains poorly understood. In this study, we sought to understand neural responses to auditory stimulation during microsleep. We gave participants the simple task of listening to audios of different pitches and amplitude modulation frequencies during early afternoon functional MRI scans. We found the following: 1) microsleep was associated with cortical activations in broad motor and sensory regions and deactivations in thalamus, irrespective of auditory stimulation; 2) high and low pitch audios elicited different activity patterns in the auditory cortex during awake but not microsleep state; and 3) during microsleep, spatial activity patterns in broad brain regions were similar regardless of the presence or types of auditory stimulus (i.e., stimulus invariant). These findings show that the brain is highly active during microsleep but the activity patterns across broad regions are unperturbed by auditory inputs. NEW & NOTEWORTHY During deep drowsy states, auditory inputs could induce activations in the auditory cortex, but the activation patterns lose differentiation to high/low pitch stimuli. Instead of random activations, activity patterns across the brain during microsleep appear to be structured and may reflect underlying neurophysiological processes that remain unclear.

scholarly journals Ipsilateral finger representations in the sensorimotor cortex are driven by active movement processes, not passive sensory input

2019 ◽  
Vol 121 (2) ◽  
pp. 418-426 ◽  
Author(s):  
Eva Berlot ◽  
George Prichard ◽  
Jill O’Reilly ◽  
Naveed Ejaz ◽  
Jörn Diedrichsen
Keyword(s):  
Sensorimotor Cortex ◽  
High Field ◽  
Sensory Input ◽  
Brain Activity ◽  
Activity Patterns ◽  
Sensory Information ◽  
Sensory Stimulation ◽  
Active Movement ◽  
Contralateral Hemisphere ◽  
Ipsilateral Hemisphere

Hand and finger movements are mostly controlled through crossed corticospinal projections from the contralateral hemisphere. During unimanual movements, activity in the contralateral hemisphere is increased while the ipsilateral hemisphere is suppressed below resting baseline. Despite this suppression, unimanual movements can be decoded from ipsilateral activity alone. This indicates that ipsilateral activity patterns represent parameters of ongoing movement, but the origin and functional relevance of these representations is unclear. In this study, we asked whether ipsilateral representations are caused by active movement or whether they are driven by sensory input. Participants alternated between performing single finger presses and having fingers passively stimulated while we recorded brain activity using high-field (7T) functional imaging. We contrasted active and passive finger representations in sensorimotor areas of ipsilateral and contralateral hemispheres. Finger representations in the contralateral hemisphere were equally strong under passive and active conditions, highlighting the importance of sensory information in feedback control. In contrast, ipsilateral finger representations in the sensorimotor cortex were stronger during active presses. Furthermore, the spatial distribution of finger representations differed between hemispheres: the contralateral hemisphere showed the strongest finger representations in Brodmann areas 3a and 3b, whereas the ipsilateral hemisphere exhibited stronger representations in premotor and parietal areas. Altogether, our results suggest that finger representations in the two hemispheres have different origins: contralateral representations are driven by both active movement and sensory stimulation, whereas ipsilateral representations are mainly engaged during active movement. NEW & NOTEWORTHY Movements of the human body are mostly controlled by contralateral cortical regions. The function of ipsilateral activity during movements remains elusive. Using high-field neuroimaging, we investigated how human contralateral and ipsilateral hemispheres represent active and passive finger presses. We found that representations in contralateral sensorimotor cortex are equally strong during both conditions. Ipsilateral representations were mostly present during active movement, suggesting that sensorimotor areas do not receive direct sensory input from the ipsilateral hand.

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