Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes

Vaquero, Lucía; Ramos-Escobar, Neus; Cucurell, David; Clément, François; Putkinen, Vesa; Segura, Emma; Huotilainen, Minna; Penhune, Virginia B.; Rodrı́guez-Fornells, Antoni

doi:10.1016/j.neuroimage.2021.117759

Cited by 19 publications

(18 citation statements)

References 118 publications

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“…Kirino et al (2019), thus, suggested that deficits of feedback/-forward connections between prefrontal cortex and superior temporal gyrus modulated by the anterior cingulate cortex and insula are related to impaired mismatch negativity generation. Vaquero et al (2021) assessed correlations between macrostructural properties of the arcuate fasciculus connecting potential cortical sources of mismatch negativity during music perception. Leading hypothesis was that mismatch negativity and frontal novelty P3 (P3a) are elicited after deviant responses.…”

Section: Attention-related Early Responsesmentioning

confidence: 99%

“…A larger volume of the left long segment of the arcuate fasciculus was correlated with larger mismatch negativity amplitudes in a paradigm with rhythmic stimuli. Vaquero et al (2021) argued that the lateralization of correlation reflects a specialization of left auditory regions in detecting changes in rhythmic stimuli (Zatorre et al, 1992;Zatorre et al, 2002;Poeppel, 2003).…”

Section: Attention-related Early Responsesmentioning

confidence: 99%

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Brain Structural and Functional Connectivity: A Review of Combined Works of Diffusion Magnetic Resonance Imaging and Electro-Encephalography

Babaeeghazvini

Rueda‐Delgado

Gooijers

et al. 2021

Front. Hum. Neurosci.

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Implications of structural connections within and between brain regions for their functional counterpart are timely points of discussion. White matter microstructural organization and functional activity can be assessed in unison. At first glance, however, the corresponding findings appear variable, both in the healthy brain and in numerous neuro-pathologies. To identify consistent associations between structural and functional connectivity and possible impacts for the clinic, we reviewed the literature of combined recordings of electro-encephalography (EEG) and diffusion-based magnetic resonance imaging (MRI). It appears that the strength of event-related EEG activity increases with increased integrity of structural connectivity, while latency drops. This agrees with a simple mechanistic perspective: the nature of microstructural white matter influences the transfer of activity. The EEG, however, is often assessed for its spectral content. Spectral power shows associations with structural connectivity that can be negative or positive often dependent on the frequencies under study. Functional connectivity shows even more variations, which are difficult to rank. This might be caused by the diversity of paradigms being investigated, from sleep and resting state to cognitive and motor tasks, from healthy participants to patients. More challenging, though, is the potential dependency of findings on the kind of analysis applied. While this does not diminish the principal capacity of EEG and diffusion-based MRI co-registration, it highlights the urgency to standardize especially EEG analysis.

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Section: Attention-related Early Responsesmentioning

confidence: 99%

Section: Attention-related Early Responsesmentioning

confidence: 99%

Brain Structural and Functional Connectivity: A Review of Combined Works of Diffusion Magnetic Resonance Imaging and Electro-Encephalography

Babaeeghazvini

Rueda‐Delgado

Gooijers

et al. 2021

Front. Hum. Neurosci.

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“…Finally, artefactual bers, if present in any of the tracts / hemispheres, were removed using exclusion ROIs, as is standard practice in manual reconstructions (Elmer et al 2019;Vaquero et al 2021). Tract volume and Fractional Anisotropy (FA) values were extracted in every participant for each tract and hemisphere.…”

Section: Tract Dissectionsmentioning

confidence: 99%

Structural Connectivity in Ventral Language Pathways Characterizes Nonverbal Autism

Olivé¹,

Slušná²,

Vaquero³

et al. 2021

Preprint

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Autism spectrum disorder (ASD) involves a large variety of language capacities, from normal scores on standardized language tests to absence of functional language in a substantial minority of 30% of individuals with ASD. Due to practical difficulties of scanning at this severe end of the autism spectrum, insights from MRI are scarce. Here we used manual deterministic tractography to investigate, for the first time, the integrity of the core white matter tracts defining the language connectivity network in nonverbal ASD (nvASD): the arcuate (AF), inferior fronto-occipital (IFOF), inferior longitudinal (ILF) and uncinate (UF) fasciculi, and the frontal aslant tract (FAT). A multiple case series of nine individuals with nvASD were compared to normative benchmarks from matched individuals with verbal ASD (vASD) and typical development (TD). Bonferroni-corrected repeated measure ANOVAs were performed separately for each tract –Hemisphere (2:Left/Right) x Group (3:TD/vASD/nvASD). Results revealed (i) a main effect of group consisting in a reduction in fractional anisotropy (FA) in the IFOF in nvASD relative to TD; (ii) a significant interaction of hemisphere and group in the UF, which showed reduced volume in the left hemisphere when compared to the right, in the vASD group only; and (iii) main effects of hemisphere in both the AF (left-lateralized in volume) and the ILF (left-lateralized in FA). These results do not replicate deficits of the dorsal language route previously observed in nvASD, and instead point to a disruption of the ventral language pathway, which is in line with semantic deficits observed behaviourally in this group.

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“…They further extended this finding and recently showed in a subset of the same cohort of nonmusicians that individual differences were also reflected in mismatch negativity (MMN) while performing a melodic multifeature detection task. They were also able to link the individual differences at white matter structural level of volumes of different segments of this tract (Vaquero et al, 2021). Another study by Rajan et al (2019) found that individuals with varying levels of musical rhythm perception abilities minimally dependent on training showed increased deviations from linear anisotropy in the corpus callosum (Rajan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, a study by Engel et al (2014) investigated predispositions to music learning in nonmusicians and found that increased white matter coherence in the cortico-spinal tract and the superior longitudinal fasciculus predicted individual differences in speed of learning. Similarly, Vaquero et al (2018) investigated white matter microstructural and macrostructural differences in the dorsal auditory-motor pathways and related them to interindividual differences in music skill learning of nonmusicians (Vaquero et al, 2018). They found that the volume of the anterior segment of the right arcuate fasciculus showed positive associations with synchronization during a rhythmic task whereas the fractional anisotropy (FA) values of the long segment showed positive associations with rate of learning in a melody task.…”

Section: Introductionmentioning

confidence: 99%

Structural connectivity predicts sequential processing differences in music perception ability

Rajan

Shah

Ingalhalikar

et al. 2021

Eur J of Neuroscience

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To relate individual differences in music perception ability with whole brain white matter connectivity, we scanned a group of 27 individuals with varying degrees of musical training and assessed musical ability in sensory and sequential music perception domains using the Profile of Music Perception Skills‐Short version (PROMS‐S). Sequential processing ability was estimated by combining performance on tasks for Melody, Standard Rhythm, Embedded Rhythm, and Accent subscores while sensory processing ability was ascertained via tasks of Tempo, Pitch, Timbre, and Tuning. Controlling for musical training, gender, and years of training, network‐based statistics revealed positive linear associations between total PROMS‐S scores and increased interhemispheric fronto‐temporal and parieto‐frontal white matter connectivity, suggesting a distinct segregated structural network for music perception. Secondary analysis revealed two subnetworks for sequential processing ability, one comprising ventral fronto‐temporal and subcortical regions and the other comprising dorsal fronto‐temporo‐parietal regions. A graph‐theoretic analysis to characterize the structural network revealed a positive association of modularity of the whole brain structural connectome with the d′ total score. In addition, the nodal degree of the right posterior cingulate cortex also showed a significant positive correlation with the total d′ score. Our results suggest that a distinct structural network of connectivity across fronto‐temporal, cerebellar, and cerebro‐subcortical regions is associated with music processing abilities and the right posterior cingulate cortex mediates the connectivity of this network.

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Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes

Cited by 19 publications

References 118 publications

Brain Structural and Functional Connectivity: A Review of Combined Works of Diffusion Magnetic Resonance Imaging and Electro-Encephalography

Brain Structural and Functional Connectivity: A Review of Combined Works of Diffusion Magnetic Resonance Imaging and Electro-Encephalography

Structural Connectivity in Ventral Language Pathways Characterizes Nonverbal Autism

Structural connectivity predicts sequential processing differences in music perception ability

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