scholarly journals A Role for Endogenous Brain States in Organizational Research: Moving Toward a Dynamic View of Cognitive Processes

2017 ◽  
Vol 22 (1) ◽  
pp. 332-353 ◽  
Author(s):  
Sven Braeutigam ◽  
Nick Lee ◽  
Carl Senior
Keyword(s):  
Functional Neuroimaging ◽  
Brain Activity ◽  
Neural System ◽  
Reactive System ◽  
Organizational Research ◽  
Dynamic View ◽  
Brain States ◽  
Living Organisms ◽  
And Behavior ◽  
Intrinsic Brain Activity

The dominant view in neuroscience, including functional neuroimaging, is that the brain is an essentially reactive system, in which some sensory input causes some neural activity, which in turn results in some important response such as a motor activity or some hypothesized higher-level cognitive or affective process. This view has driven the rise of neuroscience methods in management and organizational research. However, the reactive view offers at best a partial understanding of how living organisms function in the real world. In fact, like any neural system, the human brain exhibits a constant ongoing activity. This intrinsic brain activity is produced internally, not in response to some environmental stimulus, and is thus termed endogenous brain activity (EBA). In the present article we introduce EBA to organizational research conceptually, explain its measurement, and go on to show that including EBA in management and organizational theory and empirical research has the potential to revolutionize how we think about human choice and behavior in organizations.

Why the Assessment of Causality in Brain–Behavior Relations Requires Brain Stimulation

2012 ◽  
Vol 24 (4) ◽  
pp. 775-777 ◽  
Author(s):  
Juha Silvanto ◽  
Alvaro Pascual-Leone
Keyword(s):  
Opposite Direction ◽  
Brain Stimulation ◽  
Cognitive Neuroscience ◽  
Neural Activity ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Causal Link ◽  
And Behavior ◽  
Brain Behavior

A central aim in cognitive neuroscience is to explain how neural activity gives rise to perception and behavior; the causal link of paramount interest is thus from brain to behavior. Functional neuroimaging studies, however, tend to provide information in the opposite direction by informing us how manipulation of behavior may affect neural activity. Although this may provide valuable insights into neuronal properties, one cannot use such evidence to make inferences about the behavioral significance of the observed activations; if A causes B, it does not necessarily follow that B causes A. In contrast, brain stimulation techniques enable us to directly modulate brain activity as the source of behavior and thus establish causal links.

scholarly journals Rude mechanicals in brain haemodynamics: non-neural actors that influence blood flow

2020 ◽  
Vol 376 (1815) ◽  
pp. 20190635
Author(s):  
Aniruddha Das ◽  
Kevin Murphy ◽  
Patrick J. Drew
Keyword(s):  
Resting State ◽  
Vascular Tissue ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Blood Oxygenation ◽  
The Body ◽  
Brain Physiology ◽  
Non Invasive ◽  
Local Fluctuations ◽  
Brain States

Fluctuations in blood oxygenation and flow are widely used to infer brain activity during resting-state functional magnetic resonance imaging (fMRI). However, there are strong systemic and vascular contributions to resting-state signals that are unrelated to ongoing neural activity. Importantly, these non-neural contributions to haemodynamic signals (or ‘rude mechanicals’) can be as large as or larger than the neurally evoked components. Here, we review the two broad classes of drivers of these signals. One is systemic and is tied to fluctuations in external drivers such as heart rate and breathing, and the robust autoregulatory mechanisms that try to maintain a constant milieu in the brain. The other class comprises local, active fluctuations that appear to be intrinsic to vascular tissue and are likely similar to active local fluctuations seen in vasculature all over the body. In this review, we describe these non-neural fluctuations and some of the tools developed to correct for them when interpreting fMRI recordings. However, we also emphasize the links between these vascular fluctuations and brain physiology and point to ways in which fMRI measurements can be used to exploit such links to gain valuable information about neurovascular health and about internal brain states. This article is part of the theme issue ‘Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity’.

scholarly journals Movie viewing elicits rich and reliable brain state dynamics

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Johan N. van der Meer ◽  
Michael Breakspear ◽  
Luke J. Chang ◽  
Saurabh Sonkusare ◽  
Luca Cocchi
Keyword(s):  
Resting State ◽  
Brain Function ◽  
Temporal Dynamics ◽  
Brain Activity ◽  
State Transitions ◽  
Brain State ◽  
The Social ◽  
Brain States ◽  
Functional States ◽  
Intrinsic Brain Activity

Abstract Adaptive brain function requires that sensory impressions of the social and natural milieu are dynamically incorporated into intrinsic brain activity. While dynamic switches between brain states have been well characterised in resting state acquisitions, the remodelling of these state transitions by engagement in naturalistic stimuli remains poorly understood. Here, we show that the temporal dynamics of brain states, as measured in fMRI, are reshaped from predominantly bistable transitions between two relatively indistinct states at rest, toward a sequence of well-defined functional states during movie viewing whose transitions are temporally aligned to specific features of the movie. The expression of these brain states covaries with different physiological states and reflects subjectively rated engagement in the movie. In sum, a data-driven decoding of brain states reveals the distinct reshaping of functional network expression and reliable state transitions that accompany the switch from resting state to perceptual immersion in an ecologically valid sensory experience.

scholarly journals Correlated gene expression and anatomical communication support synchronized brain activity in the mouse functional connectome

2017 ◽  
Author(s):  
Brian D. Mills ◽  
David S. Grayson ◽  
Anandakumar Shunmugavel ◽  
Oscar Miranda-Dominguez ◽  
Eric Feczko ◽  
...  
Keyword(s):  
Gene Expression ◽  
Functional Connectivity ◽  
Brain Research ◽  
Brain Activity ◽  
Anatomical Connectivity ◽  
Resting State Functional Connectivity ◽  
And Behavior ◽  
Intrinsic Brain Activity ◽  
Functional Connectivity Mri ◽  
The Brain

AbstractCognition and behavior depend on synchronized intrinsic brain activity which is organized into functional networks across the brain. Research has investigated how anatomical connectivity both shapes and is shaped by these networks, but not how anatomical connectivity interacts with intra-areal molecular properties to drive functional connectivity. Here, we present a novel linear model to explain functional connectivity in the mouse brain by integrating systematically obtained measurements of axonal connectivity, gene expression, and resting state functional connectivity MRI. The model suggests that functional connectivity arises from synergies between anatomical links and inter-areal similarities in gene expression. By estimating these interactions, we identify anatomical modules in which correlated gene expression and anatomical connectivity cooperatively, versus distinctly, support functional connectivity. Along with providing evidence that not all genes equally contribute to functional connectivity, this research establishes new insights regarding the biological underpinnings of coordinated brain activity measured by BOLD fMRI.

Functional Neuroimaging, Free Will, and Privacy

2010 ◽  
pp. 233-251 ◽  
Author(s):  
Nada Gligorov ◽  
Stephen C. Krieger
Keyword(s):  
Magnetic Resonance Imaging ◽  
Free Will ◽  
Ethical Issues ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Moral Issues ◽  
Ethical Implications ◽  
Technological Advances ◽  
Brain States ◽  
The Impact

Technological advances in neuroscience have made inroads on the localization of identifiable brain states, in some instances purporting the individuation of particular thoughts. Brain imaging technology has given rise to what seem to be novel ethical issues. This chapter will assess the current abilities and limitations of functional neuroimaging and examine its ethical implications. The authors argue that currently there are limitations of fMRI (functional magnetic resonance imaging) and its ability to capture ongoing brain processes. They also examine the impact of neuroimaging on free will and privacy. The degree of variability of brain function precludes drawing meaningful conclusions about an individual’s thoughts solely from images of brain activity. The authors argue that neuroimaging does not raise novel challenges to privacy and free will, but is a recapitulation of traditional moral issues in a novel context.

Behavior in the Brain

2010 ◽  
Vol 24 (2) ◽  
pp. 76-82 ◽  
Author(s):  
Martin M. Monti ◽  
Adrian M. Owen
Keyword(s):  
Motor Behavior ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Motor Output ◽  
The Unconscious ◽  
Ethical Implications ◽  
Brain Responses ◽  
Minimally Conscious ◽  
Brain Insults ◽  
Brain Behavior

Recent evidence has suggested that functional neuroimaging may play a crucial role in assessing residual cognition and awareness in brain injury survivors. In particular, brain insults that compromise the patient’s ability to produce motor output may render standard clinical testing ineffective. Indeed, if patients were aware but unable to signal so via motor behavior, they would be impossible to distinguish, at the bedside, from vegetative patients. Considering the alarming rate with which minimally conscious patients are misdiagnosed as vegetative, and the severe medical, legal, and ethical implications of such decisions, novel tools are urgently required to complement current clinical-assessment protocols. Functional neuroimaging may be particularly suited to this aim by providing a window on brain function without requiring patients to produce any motor output. Specifically, the possibility of detecting signs of willful behavior by directly observing brain activity (i.e., “brain behavior”), rather than motoric output, allows this approach to reach beyond what is observable at the bedside with standard clinical assessments. In addition, several neuroimaging studies have already highlighted neuroimaging protocols that can distinguish automatic brain responses from willful brain activity, making it possible to employ willful brain activations as an index of awareness. Certainly, neuroimaging in patient populations faces some theoretical and experimental difficulties, but willful, task-dependent, brain activation may be the only way to discriminate the conscious, but immobile, patient from the unconscious one.

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