Touching Sounds: Thalamocortical Plasticity and the Neural Basis of Multisensory Integration

2009 ◽  
Vol 102 (1) ◽  
pp. 7-8 ◽  
Author(s):  
Marcus J. Naumer ◽  
Jasper J. F. van den Bosch
Keyword(s):  
Multisensory Integration ◽  
Multisensory Perception ◽  
Thalamic Lesion ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Neural Basis ◽  
Thalamocortical Projections ◽  
Crossmodal Perception ◽  
Noninvasive Neuroimaging

To date, noninvasive neuroimaging research on multisensory perception has focused on cortical activations. In a series of elegant functional magnetic resonance imaging experiments, Beauchamp and Ro recently investigated altered cortical activations associated with acquired sound–touch synesthesia resulting from a thalamic lesion. Their findings highlight the important role of intact thalamocortical projections for preventing illusory crossmodal perception and for underlying reliable multisensory integration.

scholarly journals Musical Imagery Involves the Wernicke’s Area in Bilateral and Anti-Correlated Network Interactions in Musicians

2017 ◽  
Author(s):  
Yizhen Zhang ◽  
Gang Chen ◽  
Haiguang Wen ◽  
Kun-Han Lu ◽  
Zhongming Liu
Keyword(s):  
Musical Training ◽  
Mental Ability ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Neural Basis ◽  
Musical Imagery ◽  
Conventional View ◽  
Positive Correlations ◽  
Wernicke’S Area

AbstractMusical imagery is a human experience of imagining music without actually hearing it. The neural basis of such a mental ability is unclear, especially for musicians capable of accurate and vivid musical imagery due to their musical training. Here, we visualized an 8-min symphony as a silent movie, and used it as real-time cues for musicians to continuously imagine the music for multiple synchronized sessions during functional magnetic resonance imaging. The activations and networks evoked by musical imagery were compared with those when the subjects directly listened to the same music. The musical imagery and perception shared similar responses at bilateral secondary auditory areas and Wernicke’s area for encoding the musical feature. But the Wernicke’s area was involved in highly distinct network interactions during musical imagery vs. perception. The former involved positive correlations with a subset of the auditory network and the attention network, but negative correlations with the default mode network; the latter was confined to the intrinsic auditory network in the resting state. Our results highlight the important role of the Wernicke’s area in forming vivid musical imagery through bilateral and anti-correlated network interactions, challenging the conventional view of segregated and lateralized processing of music vs. language.

scholarly journals Integrating additional knowledge into the estimation of graphical models

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yunqi Bu ◽  
Johannes Lederer
Keyword(s):  
Graphical Models ◽  
Tuning Parameter ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Graphical Modeling ◽  
Standard Methods ◽  
Neighborhood Selection ◽  
Selection For ◽  
The Brain

Abstract Graphical models such as brain connectomes derived from functional magnetic resonance imaging (fMRI) data are considered a prime gateway to understanding network-type processes. We show, however, that standard methods for graphical modeling can fail to provide accurate graph recovery even with optimal tuning and large sample sizes. We attempt to solve this problem by leveraging information that is often readily available in practice but neglected, such as the spatial positions of the measurements. This information is incorporated into the tuning parameter of neighborhood selection, for example, in the form of pairwise distances. Our approach is computationally convenient and efficient, carries a clear Bayesian interpretation, and improves standard methods in terms of statistical stability. Applied to data about Alzheimer’s disease, our approach allows us to highlight the central role of lobes in the connectivity structure of the brain and to identify an increased connectivity within the cerebellum for Alzheimer’s patients compared to other subjects.

scholarly journals Effects of behavioural activation on the neural circuit related to intrinsic motivation

BJPsych Open ◽  
2018 ◽  
Vol 4 (5) ◽  
pp. 317-323 ◽  
Author(s):  
Asako Mori ◽  
Yasumasa Okamoto ◽  
Go Okada ◽  
Koki Takagaki ◽  
Masahiro Takamura ◽  
...  
Keyword(s):  
Intrinsic Motivation ◽  
Neural Circuit ◽  
Intervention Group ◽  
Behavioural Activation ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Neural Basis ◽  
Efficient Treatment ◽  
The Right ◽  
Magnetic Resonance Imaging Scanning

BackgroundBehavioural activation is an efficient treatment for depression and can improve intrinsic motivation. Previous studies have revealed that the frontostriatal circuit is involved in intrinsic motivation; however, there are no data on how behavioural activation affects the frontostriatal circuit.AimsWe aimed to investigate behavioural activation-related changes in the frontostriatal circuit.MethodFifty-nine individuals with subthreshold depression were randomly assigned to either the intervention or non-intervention group. The intervention group received five weekly behavioural activation sessions. The participants underwent functional magnetic resonance imaging scanning on two separate occasions while performing a stopwatch task based on intrinsic motivation. We investigated changes in neural activity and functional connectivity after behavioural activation.ResultsAfter behavioural activation, the intervention group had increased activation and connectivity in the frontostriatal region compared with the non-intervention group. The increased activation in the right middle frontal gyrus was correlated with an improvement of subjective sensitivity to environmental rewards.ConclusionsBehavioural activation-related changes to the frontostriatal circuit advance our understanding of psychotherapy-induced improvements in the neural basis of intrinsic motivation.Declaration of interestNone.

Management Accountants’ Empathy and Their Violation of Fiduciary Duties: a Replication and Extension Study Using fMRI

2021 ◽  
Author(s):  
Sergeja Slapničar ◽  
Mina Ličen ◽  
Frank G. H. Hartmann ◽  
Anka Slana Ozimič ◽  
Grega Repovš
Keyword(s):  
Brain Activity ◽  
Cognitive Empathy ◽  
Affective Empathy ◽  
Business Unit ◽  
Personal Interest ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Management Accountants ◽  
Personal Interests

Research shows that management accountants’ role to support business unit managers’ decision-making may cause them to succumb to managers’ pressures to misreport. Using electroencephalographic (EEG) evidence, Eskenazi, Hartmann and Rietdijk (2016) demonstrate the role of automatic emotional mimicry, which drives misreporting when managers’ personal interest is at stake, but not when BU interest is at stake. In this study, we aim to replicate this finding using functional magnetic resonance imaging (fMRI), which enables us to separate affective from cognitive empathy. Thirty accounting professionals completed an emotion observation task during which empathy-related brain activity was recorded. We then explored accountants’ inclination to misreport using empathy-invoking accounting scenarios. We find that the inclination to misreport correlates with activation of cognitive empathy regions, but only for scenarios in which accountants misreport to serve business unit’s interests, rather than managers’ personal interests. We find no evidence for a role of affective empathy.

scholarly journals A novel resting-state functional magnetic resonance imaging signature of resilience to recurrent depression

2016 ◽  
Vol 47 (4) ◽  
pp. 597-607 ◽  
Author(s):  
C. I. Workman ◽  
K. E. Lythe ◽  
S. McKie ◽  
J. Moll ◽  
J. A. Gethin ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Resting State ◽  
Seed Region ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Recurrent Depression ◽  
Neural Basis ◽  
Resting State Connectivity

BackgroundA high proportion of patients with remitted major depressive disorder (MDD) will experience recurring episodes, whilst some develop resilience and remain in recovery. The neural basis of resilience to recurrence is elusive. Abnormal resting-state connectivity of the subgenual cingulate cortex (sgACC) was previously found in cross-sectional studies of MDD, suggesting its potential pathophysiological importance. The current study aimed to investigate whether resting-state connectivity to a left sgACC seed region distinguishes resilient patients from those developing recurring episodes.MethodA total of 47 medication-free remitted MDD patients and 38 healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) at baseline. Over 14 months, 30 patients remained resilient whilst 17 experienced a recurring episode.ResultsAttenuated interhemispheric left-to-right sgACC connectivity distinguished the resilient from the recurring-episode and control groups and was not correlated with residual depressive symptoms.ConclusionsThe current study revealed a neural signature of resilience to recurrence in MDD and thereby elucidates the role of compensatory adaptation in sgACC networks.

Connectivity-Related Roles of Contralesional Brain Regions for Motor Performance Early after Stroke

2020 ◽  
Author(s):  
Lukas Hensel ◽  
Caroline Tscherpel ◽  
Jana Freytag ◽  
Stella Ritter ◽  
Anne K Rehme ◽  
...  
Keyword(s):  
Neural Activity ◽  
Motor Performance ◽  
Primary Motor Cortex ◽  
Effective Connectivity ◽  
Premotor Cortex ◽  
Brain Regions ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Anterior Intraparietal Sulcus

Abstract Hemiparesis after stroke is associated with increased neural activity not only in the lesioned but also in the contralesional hemisphere. While most studies have focused on the role of contralesional primary motor cortex (M1) activity for motor performance, data on other areas within the unaffected hemisphere are scarce, especially early after stroke. We here combined functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS) to elucidate the contribution of contralesional M1, dorsal premotor cortex (dPMC), and anterior intraparietal sulcus (aIPS) for the stroke-affected hand within the first 10 days after stroke. We used “online” TMS to interfere with neural activity at subject-specific fMRI coordinates while recording 3D movement kinematics. Interfering with aIPS activity improved tapping performance in patients, but not healthy controls, suggesting a maladaptive role of this region early poststroke. Analyzing effective connectivity parameters using a Lasso prediction model revealed that behavioral TMS effects were predicted by the coupling of the stimulated aIPS with dPMC and ipsilesional M1. In conclusion, we found a strong link between patterns of frontoparietal connectivity and TMS effects, indicating a detrimental influence of the contralesional aIPS on motor performance early after stroke.

Sign in / Sign up

Export Citation Format

Share Document