Comparing the Effects of 10-Hz Repetitive TMS on Tasks of Visual STM and Attention

Emrich, Stephen M.; Johnson, Jeffrey S.; Sutterer, David; Postle, Bradley R.

doi:10.1162/jocn_a_01043

Cited by 11 publications

(16 citation statements)

References 65 publications

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“…As mentioned above, Weber et al (2016) also showed that lower fMRI decoding of VWM content in left parietal area 7A was correlated with lower precision and higher precision variability measured in behavioral VWM performance. Consistent with the role of PPC in VWM storage, TMS to PPC affects VWM capacity (Emrich et al 2017).…”

Section: Visual Working Memory Representationsmentioning

confidence: 59%

A Tale of Two Visual Systems: Invariant and Adaptive Visual Information Representations in the Primate Brain

2018

Annu. Rev. Vis. Sci.

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Visual information processing contains two opposite needs. There is both a need to comprehend the richness of the visual world and a need to extract only pertinent visual information to guide thoughts and behavior at a given moment. I argue that these two aspects of visual processing are mediated by two complementary visual systems in the primate brain-specifically, the occipitotemporal cortex (OTC) and the posterior parietal cortex (PPC). The role of OTC in visual processing has been documented extensively by decades of neuroscience research. I review here recent evidence from human imaging and monkey neurophysiology studies to highlight the role of PPC in adaptive visual processing. I first document the diverse array of visual representations found in PPC. I then describe the adaptive nature of visual representation in PPC by contrasting visual processing in OTC and PPC and by showing that visual representations in PPC largely originate from OTC.

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Section: Visual Working Memory Representationsmentioning

confidence: 59%

A Tale of Two Visual Systems: Invariant and Adaptive Visual Information Representations in the Primate Brain

2018

Annu. Rev. Vis. Sci.

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“…Further studies have shown the importance of baseline performance on the degree of change in other cognitive abilities using different forms of non-invasive brain stimulation (Krause and Cohen Kadosh, 2014, Benwell et al, 2015, Painter et al, 2015, Emrich et al, 2017, Penton et al, 2017, Yang and Banissy, 2017.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, based on a growing literature showing that the effect of brain stimulation on behavioral tasks is highly variable across individuals (Jones et al, 2016, Palmer et al, 2016, Valchev et al, 2017 and might depend on a number of factors, including individual differences in the ability to perform the task (Krause and Cohen Kadosh, 2014, Benwell et al, 2015, Painter et al, 2015, Emrich et al, 2017, Penton et al, 2017, Yang and Banissy, 2017, we explored the contribution of individual differences in baseline EA task performance to performance changes induced by active rTMS. This allowed us to establish whether low-and high-performers in our EA task show any differential causal involvement of visual, sensorimotor and mentalizing brain areas in EA.…”

Section: Introductionmentioning

confidence: 99%

Visual, sensorimotor and cognitive routes to understanding others' enjoyment: An individual differences rTMS approach to empathic accuracy

et al. 2018

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“…Single-pulse transcranial magnetic stimulation (TMS) applied over the human visual cortex induces illusory perceptions. Similarly to perceptions induced by visual stimuli, TMS-induced perceptions are most reliably triggered in a given phase of prestimulus alpha oscillations [42,43]. Providing causal evidence for the relationship between alpha phase and perception in the auditory modality, alphafrequency-modulated transcranial direct current stimulation (tDCS) biases the stimulusdetection threshold in a phase-dependent manner [44].…”

Section: Periodic Perceptual and Attentional Sampling Of Sensory Infomentioning

confidence: 99%

Roles of Brain Criticality and Multiscale Oscillations in Temporal Predictions for Sensorimotor Processing

Palva

2018

Trends in Neurosciences

116

115

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Sensorimotor predictions are essential for adaptive behavior. In natural environments, events that demand sensorimotor predictions unfold across many timescales, and corresponding temporal predictions (either explicit or implicit) should therefore emerge in brain dynamics. Neuronal oscillations are scalespecific processes found in several frequency bands. They underlie periodicity in sensorimotor processing and can represent temporal predictions via their phase dynamics. These processes build upon endogenous neural rhythmicity and adapt in response to exogenous timing demands. While much of the research on periodicity in neural processing has focused on subsecond oscillations, these fast-scale rhythms are in fact paralleled by critical-like, scale-free dynamics and fluctuations of brain activity at various timescales, ranging from seconds to hundreds of seconds. In this review, we put forth a framework positing that critical brain dynamics are essential for the role of neuronal oscillations in timing and that cross-frequency coupling flexibly organizes neuronal processing across multiple frequencies. Critical-like Multiscale Brain Oscillations for Processing a Critical-like Multiscale Environment? Perception and action in natural environments necessitate interplay among representations of past events, the current state, as well as predictions of both future events and the consequences of our own actions across a continuum of vastly different timescales. Notably, natural visual [1] and auditory [2] scenes are characteristically scale-free and arrhythmic signals with power-law scaling behavior (Box 1 and Figure 1A-C). Such lack of scaling or periodicities is perhaps not too surprising, considering that many aspects of our environment are ongoing processes involving nonlinear interactions among many agents, or are products of such processes, and thereby encompass complex or 'critical' spatiotemporal dynamics [3]. Critical dynamics appear in systems poised at a transition between two phases, and such systems are characterized by stochastic fractal-like architectures, power-law correlations, and rapid intermittent state transitions [3,4]. However, in many real-world settings scale-free environmental contexts are accompanied by distinct scale-specific phenomena (i.e., periodic or quasiperiodic signals; Box 1). Such scale-specific components arise both from artificial sources and from biological systems, for instance through phenomena with rhythmic components, such as gait and production of speech and music (Figure 1C-E). What are the neural processes that facilitate effective perception, cognition, and action in environments that consist of both scale-free and scale-specific temporal structures? The range of behaviorally relevant environmental temporal scales is well paralleled by the spectrum of Highlights Neuronal oscillations in ongoing brain activity adapt to behaviorally relevant sensorimotor rhythmicities by phase prediction and entrainment. Neuronal oscillations also endogenously impose rhythmicity on perceptual...

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Comparing the Effects of 10-Hz Repetitive TMS on Tasks of Visual STM and Attention

Cited by 11 publications

References 65 publications

A Tale of Two Visual Systems: Invariant and Adaptive Visual Information Representations in the Primate Brain

A Tale of Two Visual Systems: Invariant and Adaptive Visual Information Representations in the Primate Brain

Visual, sensorimotor and cognitive routes to understanding others' enjoyment: An individual differences rTMS approach to empathic accuracy

Roles of Brain Criticality and Multiscale Oscillations in Temporal Predictions for Sensorimotor Processing

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