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Hennessy S, Janata P, Ginsberg T, Kaplan J, Habibi A. Music-Evoked Nostalgia Activates Default Mode and Reward Networks Across the Lifespan. Hum Brain Mapp 2025; 46:e70181. [PMID: 40083173 PMCID: PMC11907061 DOI: 10.1002/hbm.70181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Revised: 01/16/2025] [Accepted: 02/19/2025] [Indexed: 03/16/2025] Open
Abstract
Nostalgia is a mixed emotion that is often evoked by music. Nostalgic music may induce temporary improvements in autobiographical memory in individuals with cognitive decline. However, the neural mechanism underlying music-evoked nostalgia and its associated memory improvements is unclear. With the ultimate goal of understanding how nostalgia-evoking music may help retrieve autobiographical memories in individuals with cognitive impairment, we first sought to understand the neural underpinnings of these processes in healthy younger and older adults. Methodological constraints, including the lack of personally tailored and experimentally controlled stimuli, have impeded our understanding of this mechanism. Here, we utilized an innovative machine-learning-based method to construct three categories of songs, all matched for musical features: (1) personalized nostalgic, (2) familiar non-nostalgic, and (3) unfamiliar non-nostalgic. In 57 participants (29 aged 18-35; 28 aged 60 and older), we investigated the functional neural correlates of music-evoked nostalgia using fMRI. Four main findings emerged: (1) Listening to nostalgic music, more than familiar non-nostalgic or unfamiliar music, was associated with bilateral activity in the default mode network, salience network, reward network, medial temporal lobe, and supplementary motor regions, (2) Psychophysiological interaction (PPI) models indicated that listening to nostalgic music involved increased functional connectivity of self-referential (posteromedial cortex) and affect-related regions (insula), (3) Older adults had stronger BOLD signals than younger adults in nostalgia-related regions during nostalgic listening, (4) While the BOLD response to nostalgic music in younger adults was associated with trait-level factors of nostalgia proneness and cognitive ability, the response in older adults was related to affective responses to the music. Overall, our findings serve as a foundation for understanding the neural basis of music-evoked nostalgia and its potential use in future clinical interventions.
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Affiliation(s)
- Sarah Hennessy
- Department of PsychologyUniversity of ArizonaTucsonArizonaUSA
| | - Petr Janata
- Center for Mind and BrainUniversity of California DavisDavisCaliforniaUSA
| | - Talia Ginsberg
- Brain and Creativity InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Jonas Kaplan
- Brain and Creativity InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Assal Habibi
- Brain and Creativity InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
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2
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Ahveninen J, Uluç I, Raij T, Nummenmaa A, Mamashli F. Spectrotemporal content of human auditory working memory represented in functional connectivity patterns. Commun Biol 2023; 6:294. [PMID: 36941477 PMCID: PMC10027691 DOI: 10.1038/s42003-023-04675-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 03/07/2023] [Indexed: 03/23/2023] Open
Abstract
Recent research suggests that working memory (WM), the mental sketchpad underlying thinking and communication, is maintained by multiple regions throughout the brain. Whether parts of a stable WM representation could be distributed across these brain regions is, however, an open question. We addressed this question by examining the content-specificity of connectivity-pattern matrices between subparts of cortical regions-of-interest (ROI). These connectivity patterns were calculated from functional MRI obtained during a ripple-sound auditory WM task. Statistical significance was assessed by comparing the decoding results to a null distribution derived from a permutation test considering all comparable two- to four-ROI connectivity patterns. Maintained WM items could be decoded from connectivity patterns across ROIs in frontal, parietal, and superior temporal cortices. All functional connectivity patterns that were specific to maintained sound content extended from early auditory to frontoparietal cortices. Our results demonstrate that WM maintenance is supported by content-specific patterns of functional connectivity across different levels of cortical hierarchy.
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Affiliation(s)
- Jyrki Ahveninen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
- Department of Radiology, Harvard Medical School, Boston, MA, USA.
| | - Işıl Uluç
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Tommi Raij
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Aapo Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Fahimeh Mamashli
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
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3
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Zhu S, Song J, Xia W, Xue Y. Aberrant brain functional network strength related to cognitive impairment in age-related hearing loss. Front Neurol 2022; 13:1071237. [PMID: 36619924 PMCID: PMC9810801 DOI: 10.3389/fneur.2022.1071237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
Purpose Age-related hearing loss (ARHL) is a major public issue that affects elderly adults. However, the neural substrates for the cognitive deficits in patients with ARHL need to be elucidated. This study aimed to explore the brain regions that show aberrant brain functional network strength related to cognitive impairment in patients with ARHL. Methods A total of 27 patients with ARHL and 23 well-matched healthy controls were recruited for the present study. Each subject underwent pure-tone audiometry (PTA), MRI scanning, and cognition evaluation. We analyzed the functional network strength by using degree centrality (DC) characteristics and tried to recognize key nodes that contribute significantly. Subsequent functional connectivity (FC) was analyzed using significant DC nodes as seeds. Results Compared with controls, patients with ARHL showed a deceased DC in the bilateral supramarginal gyrus (SMG). In addition, patients with ARHL showed enhanced DC in the left fusiform gyrus (FG) and right parahippocampal gyrus (PHG). Then, the bilateral SMGs were used as seeds for FC analysis. With the seed set at the left SMG, patients with ARHL showed decreased connectivity with the right superior temporal gyrus (STG). Moreover, the right SMG showed reduced connectivity with the right middle temporal gyrus (MTG) and increased connection with the left middle frontal gyrus (MFG) in patients with ARHL. The reduced DC in the left and right SMGs showed significant negative correlations with poorer TMT-B scores (r = -0.596, p = 0.002; r = -0.503, p = 0.012, respectively). Conclusion These findings enriched our understanding of the neural mechanisms underlying cognitive impairment associated with ARHL and may serve as a potential brain network biomarker for investigating and predicting cognitive difficulties.
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Affiliation(s)
- Shaoyun Zhu
- Department of Ultrasound, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Jiajie Song
- Department of Radiology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Wenqing Xia
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China,*Correspondence: Wenqing Xia ✉
| | - Yuan Xue
- Department of Otolaryngology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China,Yuan Xue ✉
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4
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Xu XM, Liu Y, Feng Y, Xu JJ, Gao J, Salvi R, Wu Y, Yin X, Chen YC. Degree centrality and functional connections in presbycusis with and without cognitive impairments. Brain Imaging Behav 2022; 16:2725-2734. [DOI: 10.1007/s11682-022-00734-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2022] [Indexed: 11/06/2022]
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5
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Scharinger M, Knoop CA, Wagner V, Menninghaus W. Neural processing of poems and songs is based on melodic properties. Neuroimage 2022; 257:119310. [PMID: 35569784 DOI: 10.1016/j.neuroimage.2022.119310] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/26/2022] [Accepted: 05/11/2022] [Indexed: 11/30/2022] Open
Abstract
The neural processing of speech and music is still a matter of debate. A long tradition that assumes shared processing capacities for the two domains contrasts with views that assume domain-specific processing. We here contribute to this topic by investigating, in a functional magnetic imaging (fMRI) study, ecologically valid stimuli that are identical in wording and differ only in that one group is typically spoken (or silently read), whereas the other is sung: poems and their respective musical settings. We focus on the melodic properties of spoken poems and their sung musical counterparts by looking at proportions of significant autocorrelations (PSA) based on pitch values extracted from their recordings. Following earlier studies, we assumed a bias of poem-processing towards the left and a bias for song-processing on the right hemisphere. Furthermore, PSA values of poems and songs were expected to explain variance in left- vs. right-temporal brain areas, while continuous liking ratings obtained in the scanner should modulate activity in the reward network. Overall, poem processing compared to song processing relied on left temporal regions, including the superior temporal gyrus, whereas song processing compared to poem processing recruited more right temporal areas, including Heschl's gyrus and the superior temporal gyrus. PSA values co-varied with activation in bilateral temporal regions for poems, and in right-dominant fronto-temporal regions for songs. Continuous liking ratings were correlated with activity in the default mode network for both poems and songs. The pattern of results suggests that the neural processing of poems and their musical settings is based on their melodic properties, supported by bilateral temporal auditory areas and an additional right fronto-temporal network known to be implicated in the processing of melodies in songs. These findings take a middle ground in providing evidence for specific processing circuits for speech and music in the left and right hemisphere, but simultaneously for shared processing of melodic aspects of both poems and their musical settings in the right temporal cortex. Thus, we demonstrate the neurobiological plausibility of assuming the importance of melodic properties in spoken and sung aesthetic language alike, along with the involvement of the default mode network in the aesthetic appreciation of these properties.
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Affiliation(s)
- Mathias Scharinger
- Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany; Research Group Phonetics, Institute of German Linguistics, Philipps-University Marburg, Pilgrimstein 16, Marburg 35032, Germany; Center for Mind, Brain and Behavior, Universities of Marburg and Gießen, Germany.
| | - Christine A Knoop
- Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany; Department of Music, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany
| | - Valentin Wagner
- Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany; Experimental Psychology Unit, Helmut Schmidt University / University of the Federal Armed Forces Hamburg, Germany
| | - Winfried Menninghaus
- Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany
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Li Q, Gong D, Zhang Y, Zhang H, Liu G. The bottom-up information transfer process and top-down attention control underlying tonal working memory. Front Neurosci 2022; 16:935120. [PMID: 35979330 PMCID: PMC9376259 DOI: 10.3389/fnins.2022.935120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/30/2022] [Indexed: 11/24/2022] Open
Abstract
Tonal working memory has been less investigated by neuropsychological and neuroimaging studies and even less in terms of tonal working memory load. In this study, we analyzed the dynamic cortical processing process of tonal working memory with an original surface-space-based multivariate pattern analysis (sf-MVPA) method and found that this process constituted a bottom-up information transfer process. Then, the local cortical activity pattern, local cortical response strength, and cortical functional connectivity under different tonal working memory loads were investigated. No brain area’s local activity pattern or response strength was significantly different under different memory loads. Meanwhile, the interactions between the auditory cortex (AC) and an attention control network were linearly correlated with the memory load. This finding shows that the neural mechanism underlying the tonal working memory load does not arise from changes in local activity patterns or changes in the local response strength, but from top-down attention control. Our results indicate that the implementation of tonal working memory is based on the cooperation of the bottom-up information transfer process and top-down attention control.
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Affiliation(s)
- Qiang Li
- College of Education Science, Guizhou Education University, Guiyang, China
| | - Dinghong Gong
- Office of Academic Affairs, Guizhou Education University, Guiyang, China
| | - Yuan Zhang
- College of Education Science, Guizhou Education University, Guiyang, China
| | - Hongyi Zhang
- College of Education Science, Guizhou Education University, Guiyang, China
| | - Guangyuan Liu
- College of Electronic and Information Engineering, Southwest University, Chongqing, China
- *Correspondence: Guangyuan Liu,
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7
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Turi Z, Hananeia N, Shirinpour S, Opitz A, Jedlicka P, Vlachos A. Dosing Transcranial Magnetic Stimulation of the Primary Motor and Dorsolateral Prefrontal Cortices With Multi-Scale Modeling. Front Neurosci 2022; 16:929814. [PMID: 35898411 PMCID: PMC9309210 DOI: 10.3389/fnins.2022.929814] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/27/2022] [Indexed: 11/15/2022] Open
Abstract
Transcranial magnetic stimulation (TMS) can depolarize cortical neurons through the intact skin and skull. The characteristics of the induced electric field (E-field) have a major impact on specific outcomes of TMS. Using multi-scale computational modeling, we explored whether the stimulation parameters derived from the primary motor cortex (M1) induce comparable macroscopic E-field strengths and subcellular/cellular responses in the dorsolateral prefrontal cortex (DLPFC). To this aim, we calculated the TMS-induced E-field in 16 anatomically realistic head models and simulated the changes in membrane voltage and intracellular calcium levels of morphologically and biophysically realistic human pyramidal cells in the M1 and DLPFC. We found that the conventional intensity selection methods (i.e., motor threshold and fixed intensities) produce variable macroscopic E-fields. Consequently, it was challenging to produce comparable subcellular/cellular responses across cortical regions with distinct folding characteristics. Prospectively, personalized stimulation intensity selection could standardize the E-fields and the subcellular/cellular responses to repetitive TMS across cortical regions and individuals. The suggested computational approach points to the shortcomings of the conventional intensity selection methods used in clinical settings. We propose that multi-scale modeling has the potential to overcome some of these limitations and broaden our understanding of the neuronal mechanisms for TMS.
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Affiliation(s)
- Zsolt Turi
- Department of Neuroanatomy, Faculty of Medicine, Institute of Anatomy and Cell Biology, University of Freiburg, Freiburg, Germany
| | - Nicholas Hananeia
- Faculty of Medicine, Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, Germany
| | - Sina Shirinpour
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Alexander Opitz
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Peter Jedlicka
- Faculty of Medicine, Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, Germany
| | - Andreas Vlachos
- Department of Neuroanatomy, Faculty of Medicine, Institute of Anatomy and Cell Biology, University of Freiburg, Freiburg, Germany
- Center BrainLinks-BrainTools, University of Freiburg, Freiburg, Germany
- Center for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- *Correspondence: Andreas Vlachos
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8
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Lerud KD, Vines BW, Shinde AB, Schlaug G. Modulating short-term auditory memory with focal transcranial direct current stimulation applied to the supramarginal gyrus. Neuroreport 2021; 32:702-710. [PMID: 33852539 PMCID: PMC8085037 DOI: 10.1097/wnr.0000000000001647] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Previous studies have shown that transcranial direct current stimulation (tDCS) can affect performance by decreasing regional excitability in a brain region that contributes to the task of interest. To our knowledge, no research to date has found both enhancing and diminishing effects on performance, depending upon which polarity of the current is applied. The supramarginal gyrus (SMG) is an ideal brain region for testing tDCS effects because it is easy to identify using the 10-20 electroencephalography coordinate system, and results of neuroimaging studies have implicated the left SMG in short-term memory for phonological and nonphonological sounds. In the present study, we found that applying tDCS to the left SMG affected pitch memory in a manner that depended upon the polarity of stimulation: cathodal tDCS had a negative impact on performance whereas anodal tDCS had a positive impact. These effects were significantly different from sham stimulation, which did not influence performance; they were also specific to the left hemisphere - no effect was found when applying cathodal stimulation to the right SMG - and were unique to pitch memory as opposed to memory for visual shapes. Our results provide further evidence that the left SMG is a nodal point for short-term auditory storage and demonstrate the potential of tDCS to influence cognitive performance and to causally examine hypotheses derived from neuroimaging studies.
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Affiliation(s)
- Karl D. Lerud
- Department of Neurology and Pioneer Valley Life Sciences Institute, Baystate Medical Center – UMass Medical School, Springfield, MA, USA
| | - Bradley W. Vines
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Anant B. Shinde
- Department of Neurology and Pioneer Valley Life Sciences Institute, Baystate Medical Center – UMass Medical School, Springfield, MA, USA
- Department of Biomedical Engineering and Institute of Applied Life Sciences, UMass Amherst, Amherst, MA, USA
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Gottfried Schlaug
- Department of Neurology and Pioneer Valley Life Sciences Institute, Baystate Medical Center – UMass Medical School, Springfield, MA, USA
- Department of Biomedical Engineering and Institute of Applied Life Sciences, UMass Amherst, Amherst, MA, USA
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
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9
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Hobot J, Klincewicz M, Sandberg K, Wierzchoń M. Causal Inferences in Repetitive Transcranial Magnetic Stimulation Research: Challenges and Perspectives. Front Hum Neurosci 2021; 14:586448. [PMID: 33584220 PMCID: PMC7873895 DOI: 10.3389/fnhum.2020.586448] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 11/30/2020] [Indexed: 11/29/2022] Open
Abstract
Transcranial magnetic stimulation (TMS) is used to make inferences about relationships between brain areas and their functions because, in contrast to neuroimaging tools, it modulates neuronal activity. The central aim of this article is to critically evaluate to what extent it is possible to draw causal inferences from repetitive TMS (rTMS) data. To that end, we describe the logical limitations of inferences based on rTMS experiments. The presented analysis suggests that rTMS alone does not provide the sort of premises that are sufficient to warrant strong inferences about the direct causal properties of targeted brain structures. Overcoming these limitations demands a close look at the designs of rTMS studies, especially the methodological and theoretical conditions which are necessary for the functional decomposition of the relations between brain areas and cognitive functions. The main points of this article are that TMS-based inferences are limited in that stimulation-related causal effects are not equivalent to structure-related causal effects due to TMS side effects, the electric field distribution, and the sensitivity of neuroimaging and behavioral methods in detecting structure-related effects and disentangling them from confounds. Moreover, the postulated causal effects can be based on indirect (network) effects. A few suggestions on how to manage some of these limitations are presented. We discuss the benefits of combining rTMS with neuroimaging in experimental reasoning and we address the restrictions and requirements of rTMS control conditions. The use of neuroimaging and control conditions allows stronger inferences to be gained, but the strength of the inferences that can be drawn depends on the individual experiment's designs. Moreover, in some cases, TMS might not be an appropriate method of answering causality-related questions or the hypotheses have to account for the limitations of this technique. We hope this summary and formalization of the reasoning behind rTMS research can be of use not only for scientists and clinicians who intend to interpret rTMS results causally but also for philosophers interested in causal inferences based on brain stimulation research.
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Affiliation(s)
- Justyna Hobot
- Consciousness Lab, Psychology Institute, Jagiellonian University, Krakow, Poland
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Michał Klincewicz
- Cognitive Science, Institute of Philosophy, Jagiellonian University, Krakow, Poland
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, Netherlands
| | - Kristian Sandberg
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
| | - Michał Wierzchoń
- Consciousness Lab, Psychology Institute, Jagiellonian University, Krakow, Poland
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10
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FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance. Sci Rep 2021; 11:489. [PMID: 33436825 PMCID: PMC7803954 DOI: 10.1038/s41598-020-79922-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 12/14/2020] [Indexed: 01/29/2023] Open
Abstract
Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysis (MVPA) applied to fMRI data from a relatively large group of participants, and (2) at investigating the relationship across participants between fMRI-based classification and the group's variable behavioural performance at the speaker recognition task. A cohort of subjects (N = 40, 28 females) selected to present a wide distribution of voice recognition abilities underwent an fMRI speaker identification task during which they were asked to recognize three previously learned speakers with finger button presses. The results showed that speaker identity could be significantly decoded based on fMRI patterns in voice-sensitive regions including bilateral temporal voice areas (TVAs) along the superior temporal sulcus/gyrus but also in bilateral parietal and left inferior frontal regions. Furthermore, fMRI-based classification accuracy showed a significant correlation with individual behavioural performance in left anterior STG/STS and left inferior frontal gyrus. These results highlight the role of both temporal and extra-temporal regions in performing a speaker identity recognition task with motor responses.
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11
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Kausel L, Zamorano F, Billeke P, Sutherland ME, Larrain-Valenzuela J, Stecher X, Schlaug G, Aboitiz F. Neural Dynamics of Improved Bimodal Attention and Working Memory in Musically Trained Children. Front Neurosci 2020; 14:554731. [PMID: 33132820 PMCID: PMC7578432 DOI: 10.3389/fnins.2020.554731] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 09/04/2020] [Indexed: 11/30/2022] Open
Abstract
Attention and working memory (WM) are core components of executive functions, and they can be enhanced by training. One activity that has shown to improve executive functions is musical training, but the brain networks underlying these improvements are not well known. We aimed to identify, using functional MRI (fMRI), these networks in children who regularly learn and play a musical instrument. Girls and boys aged 10–13 with and without musical training completed an attention and WM task while their brain activity was measured with fMRI. Participants were presented with a pair of bimodal stimuli (auditory and visual) and were asked to pay attention only to the auditory, only to the visual, or to both at the same time. The stimuli were afterward tested with a memory task in order to confirm attention allocation. Both groups had higher accuracy on items that they were instructed to attend, but musicians had an overall better performance on both memory tasks across attention conditions. In line with this, musicians showed higher activation than controls in cognitive control regions such as the fronto-parietal control network during all encoding phases. In addition, facilitated encoding of auditory stimuli in musicians was positively correlated with years of training and higher activity in the left inferior frontal gyrus and the left supramarginal gyrus, structures that support the phonological loop. Taken together, our results elucidate the neural dynamics that underlie improved bimodal attention and WM of musically trained children and contribute new knowledge to this model of brain plasticity.
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Affiliation(s)
- Leonie Kausel
- Centro Interdisciplinario de Neurociencias, Pontificia Universidad Católica de Chile, Santiago, Chile.,Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (CICS), Universidad del Desarrollo, Santiago, Chile
| | - Francisco Zamorano
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (CICS), Universidad del Desarrollo, Santiago, Chile.,Unidad de Imágenes Cuantitativas Avanzadas, Cl nica Alemana, Universidad del Desarrollo, Santiago, Chile.,Departamento de Imágenes, Cl nica Alemana, Universidad del Desarrollo, Santiago, Chile
| | - Pablo Billeke
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (CICS), Universidad del Desarrollo, Santiago, Chile
| | - Mary E Sutherland
- Centro Interdisciplinario de Neurociencias, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Josefina Larrain-Valenzuela
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (CICS), Universidad del Desarrollo, Santiago, Chile
| | - Ximena Stecher
- Unidad de Imágenes Cuantitativas Avanzadas, Cl nica Alemana, Universidad del Desarrollo, Santiago, Chile.,Departamento de Imágenes, Cl nica Alemana, Universidad del Desarrollo, Santiago, Chile.,Neuroradiology, Radiology Department, Clinica Alemana de Santiago, Santiago, Chile
| | - Gottfried Schlaug
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Francisco Aboitiz
- Centro Interdisciplinario de Neurociencias, Pontificia Universidad Católica de Chile, Santiago, Chile
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12
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Deschamps I, Courson M, Dick AS, Tremblay P. The phonological loop: is speech special? Exp Brain Res 2020; 238:2307-2321. [PMID: 32734355 DOI: 10.1007/s00221-020-05886-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 07/16/2020] [Indexed: 12/13/2022]
Abstract
It has been proposed that the maintenance of phonological information in verbal working memory (vWM) is carried by a domain-specific short-term storage center-the phonological loop-which is composed of a phonological store and an articulatory rehearsal system. Several brain regions including the left posterior inferior frontal gyrus (pIFG) and anterior supramarginal gyri (aSMG) are thought to support these processes. However, recent behavioral evidence suggests that verbal and non-verbal auditory information may be processed as part of a unique domain general short-term storage center instead of through specialized subsystems such as the phonological loop. In the current study, we used a single-pulse transcranial magnetic stimulation (TMS)-delayed priming paradigm with speech (syllables) and acoustically complex non-speech sounds (bird songs) to examine whether the pIFG and aSMG are involved in the processing of verbal information or, alternatively, in the processing of any complex auditory information. Our results demonstrate that TMS delivered to both regions had an effect on performance for speech and non-speech stimuli, but the nature of the effect was different. That is, priming was reduced for the speech sounds because TMS facilitated the detection of different but not identical stimuli, and accuracy was decreased for non-speech sounds. Since TMS interfered with both speech and non-speech sounds, these findings support the existence of an auditory short-term storage center located within the dorsal auditory stream.
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Affiliation(s)
- Isabelle Deschamps
- Département de Réadaptation, Faculté de Médecine, Université Laval, 1050 Avenue de La Médecine, Office 4109, Quebec City, QC, G1V 0A6, Canada
- CERVO Brain Research Centre, Quebec City, QC, Canada
| | - Melody Courson
- Département de Réadaptation, Faculté de Médecine, Université Laval, 1050 Avenue de La Médecine, Office 4109, Quebec City, QC, G1V 0A6, Canada
- CERVO Brain Research Centre, Quebec City, QC, Canada
| | | | - Pascale Tremblay
- Département de Réadaptation, Faculté de Médecine, Université Laval, 1050 Avenue de La Médecine, Office 4109, Quebec City, QC, G1V 0A6, Canada.
- CERVO Brain Research Centre, Quebec City, QC, Canada.
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13
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Di Liberto GM, Pelofi C, Bianco R, Patel P, Mehta AD, Herrero JL, de Cheveigné A, Shamma S, Mesgarani N. Cortical encoding of melodic expectations in human temporal cortex. eLife 2020; 9:e51784. [PMID: 32122465 PMCID: PMC7053998 DOI: 10.7554/elife.51784] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/20/2020] [Indexed: 01/14/2023] Open
Abstract
Humans engagement in music rests on underlying elements such as the listeners' cultural background and interest in music. These factors modulate how listeners anticipate musical events, a process inducing instantaneous neural responses as the music confronts these expectations. Measuring such neural correlates would represent a direct window into high-level brain processing. Here we recorded cortical signals as participants listened to Bach melodies. We assessed the relative contributions of acoustic versus melodic components of the music to the neural signal. Melodic features included information on pitch progressions and their tempo, which were extracted from a predictive model of musical structure based on Markov chains. We related the music to brain activity with temporal response functions demonstrating, for the first time, distinct cortical encoding of pitch and note-onset expectations during naturalistic music listening. This encoding was most pronounced at response latencies up to 350 ms, and in both planum temporale and Heschl's gyrus.
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Affiliation(s)
- Giovanni M Di Liberto
- Laboratoire des systèmes perceptifs, Département d’études cognitives, École normale supérieure, PSL University, CNRS75005 ParisFrance
| | - Claire Pelofi
- Department of Psychology, New York UniversityNew YorkUnited States
- Institut de Neurosciences des Système, UMR S 1106, INSERM, Aix Marseille UniversitéMarseilleFrance
| | | | - Prachi Patel
- Department of Electrical Engineering, Columbia UniversityNew YorkUnited States
- Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia UniversityNew YorkUnited States
| | - Ashesh D Mehta
- Department of Neurosurgery, Zucker School of Medicine at Hofstra/NorthwellManhassetUnited States
- Feinstein Institute of Medical Research, Northwell HealthManhassetUnited States
| | - Jose L Herrero
- Department of Neurosurgery, Zucker School of Medicine at Hofstra/NorthwellManhassetUnited States
- Feinstein Institute of Medical Research, Northwell HealthManhassetUnited States
| | - Alain de Cheveigné
- Laboratoire des systèmes perceptifs, Département d’études cognitives, École normale supérieure, PSL University, CNRS75005 ParisFrance
- UCL Ear InstituteLondonUnited Kingdom
| | - Shihab Shamma
- Laboratoire des systèmes perceptifs, Département d’études cognitives, École normale supérieure, PSL University, CNRS75005 ParisFrance
- Institute for Systems Research, Electrical and Computer Engineering, University of MarylandCollege ParkUnited States
| | - Nima Mesgarani
- Department of Electrical Engineering, Columbia UniversityNew YorkUnited States
- Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia UniversityNew YorkUnited States
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14
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Beynel L, Appelbaum LG, Luber B, Crowell CA, Hilbig SA, Lim W, Nguyen D, Chrapliwy NA, Davis SW, Cabeza R, Lisanby SH, Deng ZD. Effects of online repetitive transcranial magnetic stimulation (rTMS) on cognitive processing: A meta-analysis and recommendations for future studies. Neurosci Biobehav Rev 2019; 107:47-58. [PMID: 31473301 PMCID: PMC7654714 DOI: 10.1016/j.neubiorev.2019.08.018] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 06/28/2019] [Accepted: 08/22/2019] [Indexed: 01/03/2023]
Abstract
Online repetitive transcranial magnetic stimulation (rTMS), applied while subjects are performing a task, is widely used to disrupt brain regions underlying cognition. However, online rTMS has also induced "paradoxical enhancement". Given the rapid proliferation of this approach, it is crucial to develop a better understanding of how online stimulation influences cognition, and the optimal parameters to achieve desired effects. To accomplish this goal, a quantitative meta-analysis was performed with random-effects models fitted to reaction time (RT) and accuracy data. The final dataset included 126 studies published between 1998 and 2016, with 244 total effects for reaction times, and 202 for accuracy. Meta-analytically, rTMS at 10 Hz and 20 Hz disrupted accuracy for attention, executive, language, memory, motor, and perception domains, while no effects were found with 1 Hz or 5 Hz. Stimulation applied at and 10 and 20 Hz slowed down RTs in attention and perception tasks. No performance enhancement was found. Meta-regression analysis showed that fMRI-guided targeting and short inter-trial intervals are associated with increased disruptive effects with rTMS.
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Affiliation(s)
- Lysianne Beynel
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Lawrence G Appelbaum
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Bruce Luber
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States
| | - Courtney A Crowell
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Susan A Hilbig
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Wesley Lim
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Duy Nguyen
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Nicolas A Chrapliwy
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Simon W Davis
- Department of Neurology, Duke University School of Medicine, Durham, NC, United States
| | - Roberto Cabeza
- Center for Cognitive Neuroscience, Duke University, Durham, NC, United States
| | - Sarah H Lisanby
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States; Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States
| | - Zhi-De Deng
- Departments of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States; Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
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15
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Gelding RW, Thompson WF, Johnson BW. Musical imagery depends upon coordination of auditory and sensorimotor brain activity. Sci Rep 2019; 9:16823. [PMID: 31727968 PMCID: PMC6856354 DOI: 10.1038/s41598-019-53260-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 10/28/2019] [Indexed: 11/09/2022] Open
Abstract
Recent magnetoencephalography (MEG) studies have established that sensorimotor brain rhythms are strongly modulated during mental imagery of musical beat and rhythm, suggesting that motor regions of the brain are important for temporal aspects of musical imagery. The present study examined whether these rhythms also play a role in non-temporal aspects of musical imagery including musical pitch. Brain function was measured with MEG from 19 healthy adults while they performed a validated musical pitch imagery task and two non-imagery control tasks with identical temporal characteristics. A 4-dipole source model probed activity in bilateral auditory and sensorimotor cortices. Significantly greater β-band modulation was found during imagery compared to control tasks of auditory perception and mental arithmetic. Imagery-induced β-modulation showed no significant differences between auditory and sensorimotor regions, which may reflect a tightly coordinated mode of communication between these areas. Directed connectivity analysis in the θ-band revealed that the left sensorimotor region drove left auditory region during imagery onset. These results add to the growing evidence that motor regions of the brain are involved in the top-down generation of musical imagery, and that imagery-like processes may be involved in musical perception.
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Affiliation(s)
- Rebecca W Gelding
- Department of Cognitive Science, Macquarie University, Sydney, NSW, 2109, Australia.
| | - William F Thompson
- Department of Psychology, Macquarie University, Sydney, NSW, 2109, Australia
| | - Blake W Johnson
- Department of Cognitive Science, Macquarie University, Sydney, NSW, 2109, Australia
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16
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Savill NJ, Cornelissen P, Pahor A, Jefferies E. rTMS evidence for a dissociation in short-term memory for spoken words and nonwords. Cortex 2019; 112:5-22. [DOI: 10.1016/j.cortex.2018.07.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 06/26/2018] [Accepted: 07/27/2018] [Indexed: 10/28/2022]
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17
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Tanaka S, Kirino E. Dynamic Reconfiguration of the Supplementary Motor Area Network during Imagined Music Performance. Front Hum Neurosci 2017; 11:606. [PMID: 29311870 PMCID: PMC5732967 DOI: 10.3389/fnhum.2017.00606] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 11/28/2017] [Indexed: 11/18/2022] Open
Abstract
The supplementary motor area (SMA) has been shown to be the center for motor planning and is active during music listening and performance. However, limited data exist on the role of the SMA in music. Music performance requires complex information processing in auditory, visual, spatial, emotional, and motor domains, and this information is integrated for the performance. We hypothesized that the SMA is engaged in multimodal integration of information, distributed across several regions of the brain to prepare for ongoing music performance. To test this hypothesis, functional networks involving the SMA were extracted from functional magnetic resonance imaging (fMRI) data that were acquired from musicians during imagined music performance and during the resting state. Compared with the resting condition, imagined music performance increased connectivity of the SMA with widespread regions in the brain including the sensorimotor cortices, parietal cortex, posterior temporal cortex, occipital cortex, and inferior and dorsolateral prefrontal cortex. Increased connectivity of the SMA with the dorsolateral prefrontal cortex suggests that the SMA is under cognitive control, while increased connectivity with the inferior prefrontal cortex suggests the involvement of syntax processing. Increased connectivity with the parietal cortex, posterior temporal cortex, and occipital cortex is likely for the integration of spatial, emotional, and visual information. Finally, increased connectivity with the sensorimotor cortices was potentially involved with the translation of thought planning into motor programs. Therefore, the reconfiguration of the SMA network observed in this study is considered to reflect the multimodal integration required for imagined and actual music performance. We propose that the SMA network construct “the internal representation of music performance” by integrating multimodal information required for the performance.
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Affiliation(s)
- Shoji Tanaka
- Department of Information and Communication Sciences, Sophia University, Tokyo, Japan
| | - Eiji Kirino
- Department of Psychiatry, School of Medicine, Juntendo University, Tokyo, Japan.,Department of Psychiatry, Juntendo Shizuoka Hospital, Shizuoka, Japan
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18
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Schaal NK, Kretschmer M, Keitel A, Krause V, Pfeifer J, Pollok B. The Significance of the Right Dorsolateral Prefrontal Cortex for Pitch Memory in Non-musicians Depends on Baseline Pitch Memory Abilities. Front Neurosci 2017; 11:677. [PMID: 29270105 PMCID: PMC5723654 DOI: 10.3389/fnins.2017.00677] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 11/20/2017] [Indexed: 11/13/2022] Open
Abstract
Pitch memory is a resource which is shared by music and language. Neuroimaging studies have shown that the right dorsolateral prefrontal cortex (DLPFC) is activated during pitch memory processes. The present study investigated the causal significance of this brain area for pitch memory in non-musicians by applying cathodal and sham transcranial direct current stimulation (tDCS) over the right DLPFC and examining the impact on offline pitch and visual memory span performances. On the overall sample (N = 22) no significant modulation effect of cathodal stimulation on the pitch span task was found. However, when dividing the sample by means of a median split of pre-test pitch memory abilities into a high and low performing group, a selective effect of significantly impaired pitch memory after cathodal tDCS in good performers was revealed. The visual control task was not affected by the stimulation in either group. The results support previous neuroimaging studies that the right DLPFC is involved in pitch memory processes in non-musicians and highlights the importance of baseline pitch memory abilities for the modulatory effect of tDCS.
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Affiliation(s)
- Nora K Schaal
- Department of Experimental Psychology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Marina Kretschmer
- Department of Experimental Psychology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Ariane Keitel
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Vanessa Krause
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Jasmin Pfeifer
- Amsterdam Center for Language and Communication, University of Amsterdam, Amsterdam, Netherlands.,Institute for Language and Information, Heinrich-Heine-University, Düsseldorf, Germany
| | - Bettina Pollok
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University, Düsseldorf, Germany
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19
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Markovic A, Kühnis J, Jäncke L. Task Context Influences Brain Activation during Music Listening. Front Hum Neurosci 2017; 11:342. [PMID: 28706480 PMCID: PMC5489556 DOI: 10.3389/fnhum.2017.00342] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Accepted: 06/13/2017] [Indexed: 11/14/2022] Open
Abstract
In this paper, we examined brain activation in subjects during two music listening conditions: listening while simultaneously rating the musical piece being played [Listening and Rating (LR)] and listening to the musical pieces unconstrained [Listening (L)]. Using these two conditions, we tested whether the sequence in which the two conditions were fulfilled influenced the brain activation observable during the L condition (LR → L or L → LR). We recorded high-density EEG during the playing of four well-known positively experienced soundtracks in two subject groups. One group started with the L condition and continued with the LR condition (L → LR); the second group performed this experiment in reversed order (LR → L). We computed from the recorded EEG the power for different frequency bands (theta, lower alpha, upper alpha, lower beta, and upper beta). Statistical analysis revealed that the power in all examined frequency bands increased during the L condition but only when the subjects had not had previous experience with the LR condition (i.e., L → LR). For the subjects who began with the LR condition, there were no power increases during the L condition. Thus, the previous experience with the LR condition prevented subjects from developing the particular mental state associated with the typical power increase in all frequency bands. The subjects without previous experience of the LR condition listened to the musical pieces in an unconstrained and undisturbed manner and showed a general power increase in all frequency bands. We interpret the fact that unconstrained music listening was associated with increased power in all examined frequency bands as a neural indicator of a mental state that can best be described as a mind-wandering state during which the subjects are “drawn into” the music.
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Affiliation(s)
- Andjela Markovic
- Division Neuropsychology, Institute of Psychology, University of ZurichZurich, Switzerland
| | - Jürg Kühnis
- Division Neuropsychology, Institute of Psychology, University of ZurichZurich, Switzerland
| | - Lutz Jäncke
- Division Neuropsychology, Institute of Psychology, University of ZurichZurich, Switzerland.,International Normal Aging and Plasticity Imaging Center, University of ZurichZurich, Switzerland.,University Research Priority Program, Dynamic of Healthy Aging, University of ZurichZurich, Switzerland
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20
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Schaal NK, Pollok B, Banissy MJ. Hemispheric differences between left and right supramarginal gyrus for pitch and rhythm memory. Sci Rep 2017; 7:42456. [PMID: 28198386 PMCID: PMC5309738 DOI: 10.1038/srep42456] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 12/28/2016] [Indexed: 11/24/2022] Open
Abstract
Functional brain imaging studies and non-invasive brain stimulation methods have shown the importance of the left supramarginal gyrus (SMG) for pitch memory. The extent to which this brain region plays a crucial role in memory for other auditory material remains unclear. Here, we sought to investigate the role of the left and right SMG in pitch and rhythm memory in non-musicians. Anodal or sham transcranial direct current stimulation (tDCS) was applied over the left SMG (Experiment 1) and right SMG (Experiment 2) in two different sessions. In each session participants completed a pitch and rhythm recognition memory task immediately after tDCS. A significant facilitation of pitch memory was revealed when anodal stimulation was applied over the left SMG. No significant effects on pitch memory were found for anodal tDCS over the right SMG or sham condition. For rhythm memory the opposite pattern was found; anodal tDCS over the right SMG led to an improvement in performance, but anodal tDCS over the left SMG had no significant effect. These results highlight a different hemispheric involvement of the SMG in auditory memory processing depending on auditory material that is encoded.
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Affiliation(s)
- Nora K. Schaal
- Department of Experimental Psychology, Heinrich-Heine-University, 40225 Düsseldorf, Germany
| | - Bettina Pollok
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany
| | - Michael J. Banissy
- Department of Psychology, Goldsmiths, University of London, SE14 6NW, London, UK
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21
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Verbal and musical short-term memory: Variety of auditory disorders after stroke. Brain Cogn 2017; 113:10-22. [PMID: 28088063 DOI: 10.1016/j.bandc.2017.01.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 01/01/2017] [Accepted: 01/02/2017] [Indexed: 12/28/2022]
Abstract
Auditory cognitive deficits after stroke may concern language and/or music processing, resulting in aphasia and/or amusia. The aim of the present study was to assess the potential deficits of auditory short-term memory for verbal and musical material after stroke and their underlying cerebral correlates with a Voxel-based Lesion Symptom Mapping approach (VLSM). Patients with an ischemic stroke in the right (N=10) or left (N=10) middle cerebral artery territory and matched control participants (N=14) were tested with a detailed neuropsychological assessment including global cognitive functions, music perception and language tasks. All participants then performed verbal and musical auditory short-term memory (STM) tasks that were implemented in the same way for both materials. Participants had to indicate whether series of four words or four tones presented in pairs, were the same or different. To detect domain-general STM deficits, they also had to perform a visual STM task. Behavioral results showed that patients had lower performance for the STM tasks in comparison with control participants, regardless of the material (words, tones, visual) and the lesion side. The individual patient data showed a double dissociation between some patients exhibiting verbal deficits without musical deficits or the reverse. Exploratory VLSM analyses suggested that dorsal pathways are involved in verbal (phonetic), musical (melodic), and visual STM, while the ventral auditory pathway is involved in musical STM.
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22
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Increased contextual cue utilization with tDCS over the prefrontal cortex during a recognition task. Brain Res 2016; 1655:1-9. [PMID: 27845032 DOI: 10.1016/j.brainres.2016.11.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 10/07/2016] [Accepted: 11/08/2016] [Indexed: 11/22/2022]
Abstract
The precise role of the prefrontal and posterior parietal cortices in recognition performance remains controversial, with questions about whether these regions contribute to recognition via the availability of mnemonic evidence or via decision biases and retrieval orientation. Here we used an explicit memory cueing paradigm, whereby external cues probabilistically predict upcoming memoranda as old or new, in our case with 75% validity, and these cues affect recognition decision biases in the direction of the cue. The present study applied bilateral transcranial direct current stimulation (tDCS) over prefrontal or posterior parietal cortex, or sham tDCS, to test the causal role of these regions in recognition accuracy or decision biasing. Participants who received tDCS over prefrontal cortex showed increased cue utilization compared to tDCS over posterior parietal cortex and sham tDCS, suggesting that the prefrontal cortex is involved in processes that contribute to decision biases in memory.
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23
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Sikka R, Cuddy LL, Johnsrude IS, Vanstone AD. An fMRI comparison of neural activity associated with recognition of familiar melodies in younger and older adults. Front Neurosci 2015; 9:356. [PMID: 26500480 PMCID: PMC4594019 DOI: 10.3389/fnins.2015.00356] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 09/17/2015] [Indexed: 01/16/2023] Open
Abstract
Several studies of semantic memory in non-musical domains involving recognition of items from long-term memory have shown an age-related shift from the medial temporal lobe structures to the frontal lobe. However, the effects of aging on musical semantic memory remain unexamined. We compared activation associated with recognition of familiar melodies in younger and older adults. Recognition follows successful retrieval from the musical lexicon that comprises a lifetime of learned musical phrases. We used the sparse-sampling technique in fMRI to determine the neural correlates of melody recognition by comparing activation when listening to familiar vs. unfamiliar melodies, and to identify age differences. Recognition-related cortical activation was detected in the right superior temporal, bilateral inferior and superior frontal, left middle orbitofrontal, bilateral precentral, and left supramarginal gyri. Region-of-interest analysis showed greater activation for younger adults in the left superior temporal gyrus and for older adults in the left superior frontal, left angular, and bilateral superior parietal regions. Our study provides powerful evidence for these musical memory networks due to a large sample (N = 40) that includes older adults. This study is the first to investigate the neural basis of melody recognition in older adults and to compare the findings to younger adults.
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Affiliation(s)
- Ritu Sikka
- Centre for Neuroscience Studies, Queen's UniversityKingston, ON, Canada
| | - Lola L. Cuddy
- Music Cognition Lab, Department of Psychology, Queen's UniversityKingston, ON, Canada
| | - Ingrid S. Johnsrude
- Centre for Neuroscience Studies, Queen's UniversityKingston, ON, Canada
- Cognitive Neuroscience of Communication and Hearing, Department of Psychology, Queen's UniversityKingston, ON, Canada
| | - Ashley D. Vanstone
- Music Cognition Lab, Department of Psychology, Queen's UniversityKingston, ON, Canada
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24
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Schaal NK, Javadi AH, Halpern AR, Pollok B, Banissy MJ. Right parietal cortex mediates recognition memory for melodies. Eur J Neurosci 2015; 42:1660-6. [PMID: 25959620 PMCID: PMC4737257 DOI: 10.1111/ejn.12943] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Revised: 05/06/2015] [Accepted: 05/06/2015] [Indexed: 11/13/2022]
Abstract
Functional brain imaging studies have highlighted the significance of right‐lateralized temporal, frontal and parietal brain areas for memory for melodies. The present study investigated the involvement of bilateral posterior parietal cortices (PPCs) for the recognition memory of melodies using transcranial direct current stimulation (tDCS). Participants performed a recognition task before and after tDCS. The task included an encoding phase (12 melodies), a retention period, as well as a recognition phase (24 melodies). Experiment 1 revealed that anodal tDCS over the right PPC led to a deterioration of overall memory performance compared with sham. Experiment 2 confirmed the results of Experiment 1 and further showed that anodal tDCS over the left PPC did not show a modulatory effect on memory task performance, indicating a right lateralization for musical memory. Furthermore, both experiments revealed that the decline in memory for melodies can be traced back to an interference of anodal stimulation on the recollection process (remember judgements) rather than to familiarity judgements. Taken together, this study revealed a causal involvement of the right PPC for memory for melodies and demonstrated a key role for this brain region in the recollection process of the memory task.
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Affiliation(s)
- Nora K Schaal
- Department of Experimental Psychology, Heinrich-Heine-University, Universitätsstraße 1, 40225, Düsseldorf, Germany
| | - Amir-Homayoun Javadi
- Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK
| | - Andrea R Halpern
- Department of Psychology, Bucknell University, Lewisburg, PA, USA
| | - Bettina Pollok
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Michael J Banissy
- Department of Psychology, Goldsmiths, University of London, London, SE14 6NW, UK.,Institute of Cognitive Neuroscience, University College London, London, UK
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