Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores

Bonetti, Leonardo; Haumann, Niels Trusbak; Brattico, Elvira; Kliuchko, Marina; Vuust, Peter; Särkämö, Teppo; Näätänen, Risto

doi:10.1016/j.brainres.2018.06.034

Cited by 58 publications

(49 citation statements)

References 91 publications

(130 reference statements)

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“…In the context of mental disorders, mismatch paradigms have been considered a powerful tool to investigate auditory cognition and associated impairments for a wide range of neuropsychiatric or degenerative brain disorders (e.g., Ahveninen et al, 1999;see Näätänen, Sussman, Salisbury, & Shafer, 2014 for review). As markers for biological dysfunctions in various mental disorders, mismatch responses detect deficits in core cognitive functions such as attention mechanisms and working memory that have been shown to be altered in mental disorders (Ahveninen et al, 1999;Bonetti et al, 2018;Hahn et al, 2012;Potkin et al, 2009). EEG and MEG studies in patients with depression yielded inconsistent findings.…”

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confidence: 99%

Fronto‐parietal and temporal brain dysfunction in depression: A fMRI investigation of auditory mismatch processing

Zweerings

Zvyagintsev

Turetsky

et al. 2019

Human Brain Mapping

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Mismatch responses reflect neural mechanisms of early cognitive processing in the auditory domain. Disturbances of these mechanisms on multiple levels of neural processing may contribute to clinical symptoms in major depression (MD). A functional magnetic resonance imaging (fMRI) study was conducted to identify neurobiological foundations of altered mismatch processing in MD. Twenty‐five patients with major depression and 25 matched healthy individuals completed an auditory mismatch paradigm optimized for fMRI. Brain activity during mismatch processing was compared between groups. Moreover, seed‐based connectivity analyses investigated depression‐specific brain networks. In patients, mismatch processing was associated with reduced activation in the right auditory cortex as well as in a fronto‐parietal attention network. Moreover, functional coupling between the right auditory cortex and frontal areas was reduced in patients. Seed‐to voxel analysis on the whole‐brain level revealed reduced connectivity between the auditory cortex and the thalamus as well as posterior cingulate. The present study indicates deficits in sensory processing on the level of the auditory cortex in depression. Hyposensitivity in a fronto‐parietal network presumably reflects altered attention mechanisms in depression. The observed impairments may contribute to psychopathology by reducing the ability of the affected individuals to orient attention toward important environmental cues.

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confidence: 99%

Fronto‐parietal and temporal brain dysfunction in depression: A fMRI investigation of auditory mismatch processing

Zweerings

Zvyagintsev

Turetsky

et al. 2019

Human Brain Mapping

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“…The dataset was a part of the data repository obtained under the research protocol named "Tunteet", approved by the Coordinating Ethics Committee of the Hospital District of Helsinki and Uusimaa (approval number: 315/13/03/00/11, obtained on March the 11th, 2012). Findings based on this dataset have previously been published in studies on noise sensitivity , comparison of artifact corrections methods (Haumann et al, 2016), relationship between MMN amplitude and depressive traits (Bonetti et al, 2017) and working memory skills (Bonetti et al, 2018).…”

Section: Methods For Study 1 Repository Datasetmentioning

confidence: 86%

Applying stochastic spike train theory for high-accuracy MEG/EEG

Haumann

Huotilainen²,

Vuust

et al. 2019

Preprint

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Acknowledgments: Center for Music in the Brain is funded by the Danish National Research Foundation (DNRF117). Comments:The theory and spike density component analysis with Gaussian functions was initially developed, tested and reported by the first author in an early version of this manuscript in July 2016.High-accuracy MEG/EEG 2 AbstractThe accuracy of electroencephalography (EEG) and magnetoencephalography (MEG) is challenged by overlapping sources from within the brain. This lack of accuracy is a severe limitation to the possibilities and reliability of modern stimulation protocols in basic research and clinical diagnostics. As a solution, we here introduce a theory of stochastic neuronal spike timing probability densities for describing the large-scale spiking activity in neural networks, and a novel spike density component analysis (SCA) method for isolating specific neural sources. Three studies are conducted based on 564 cases of evoked responses to auditory stimuli from 94 human subjects each measured with 60 EEG electrodes and 306 MEG sensors. In the first study we show that the large-scale spike timing (but not non-encephalographic artifacts) in MEG/EEG waveforms can be modeled with Gaussian probability density functions with high accuracy (median 99.7%-99.9% variance explained), while gamma and sine functions fail describing the MEG and EEG waveforms. In the second study we confirm that SCA can isolate a specific evoked response of interest. Our findings indicate that the mismatch negativity (MMN) response is accurately isolated with SCA, while principal component analysis (PCA) fails supressing interference from overlapping brain activity, e.g. from P3a and alpha waves, and independent component analysis (ICA) distorts the evoked response. Finally, we confirm that SCA accurately reveals inter-individual variation in evoked brain responses, by replicating findings relating individual traits with MMN variations. The findings of this paper suggest that the commonly overlapping neural sources in single-subject or patient data can be more accurately separated by applying the introduced theory of large-scale spike timing and method of SCA in comparison to PCA and ICA. Significance statementElectroencephalography (EEG) and magnetoencelopraphy (MEG) are among the most applied non-invasive brain recording methods in humans. They are the only methods to measure brain function directly and in time resolutions smaller than seconds. However, in modern research and clinical diagnostics the brain responses of interest cannot be isolated, because of interfering signals of other ongoing brain activity. For the first time, we introduce a theory and method for mathematically describing and isolating overlapping brain signals, which are based on prior intracranial in vivo research on brain cells in monkey and human neural networks. Three studies mutually support our theory and suggest that a new level of accuracy in MEG/EEG can achieved by applying the procedures presented in this paper.

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“…An impairment in auditory sensory memory (a preattentive memory system that allows an individual to retain traces of sensory information after the termination of the original stimulus (Cowan, 1999)) could impact subsequent processing in working memory (Bonetti et al, 2018), a conscious cognitive system responsible for the temporary holding, processing, and manipulation of information (Baddeley, 1992). Indeed, despite being somewhat separate processes with unique characteristics, auditory sensory memory and working memory seem to be associated in neurotypical controls with those individuals who show better performance in working memory tasks, presenting enhanced MMN responses (Bonetti et al, 2018) and in clinical populations, with impaired auditory MMN being associated with deficits in working memory (Ahveninen et al, 1999;Javitt, Doneshka, Grochowski, & Ritter, 1995). Furthermore, they have been suggested to share neural bases (Pasternak & Greenlee, 2005).…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological evidence for impaired auditory sensory memory in Cystinosis despite typical sensory processing: An MMN investigation

et al. 2019

Preprint

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Cystinosis, a genetic rare disease characterized by cystine accumulation and crystallization, results in significant damage in a multitude of tissues and organs, such as the kidney, thyroid, eye, and brain. While Cystinosis' impact on brain function is relatively mild compared to its effects on other organs, the increased lifespan of this population and thus potential for productive societal contributions have led to increased interest on the effects on brain function. Nevertheless, and despite some evidence of structural brain differences, the neural impact of the mutation is still not well characterized.Here, using a passive duration oddball paradigm (with different stimulus onset asynchronies (SOAs), representing different levels of demand on memory) and high-density electrophysiology, we tested basic auditory processing in a group of 22 children and adolescents diagnosed with Cystinosis (age range: 6-17 years old) and in neurotypical age-matched controls (N=24). We examined whether the N1 and mismatch negativity (MMN) significantly differed between the groups and if those neural measures correlated with verbal and non-verbal IQ.Individuals diagnosed with Cystinosis presented similar N1 responses to their age-matched peers, indicating typical basic auditory processing in this population. However, whereas both groups showed similar MMN responses for the shortest (450ms) SOA, suggesting intact change detection and sensory memory, individuals diagnosed with Cystinosis presented clearly reduced responses for the longer (900ms and 1800ms) SOAs. This could indicate reduced duration auditory sensory memory traces, and thus sensory memory impairment, in children and adolescents diagnosed with Cystinosis. Future work addressing other aspects of sensory and working memory is needed to understand the underlying bases of the differences described here, and their implication for higher order processing.

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Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores

Abstract: Conscious WM abilities might be linked to pre-attentive sensory-specific neural skills of prediction and short-term storage of environmental regularities.

Cited by 58 publications

References 91 publications

Fronto‐parietal and temporal brain dysfunction in depression: A fMRI investigation of auditory mismatch processing

Fronto‐parietal and temporal brain dysfunction in depression: A fMRI investigation of auditory mismatch processing

Applying stochastic spike train theory for high-accuracy MEG/EEG

Electrophysiological evidence for impaired auditory sensory memory in Cystinosis despite typical sensory processing: An MMN investigation

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