Sizing up Consciousness

Author(s):  
Marcello Massimini ◽  
Giulio Tononi

Sizing up Consciousness explores, at an introductory level, the potential practical, clinical, and ethical implications of a general principle about the nature of consciousness. Using information integration theory (IIT) as a guiding principle, the book takes the reader along a scientific trajectory to face fundamental questions about the relationships between matter and experience. What is so special about a piece of flesh that can host a subject who sees light or experiences darkness? Why is the brain associated with a capacity for consciousness, but not the liver or the heart, as previous cultures believed? Why the thalamocortical system, but not other complicated neural structures? Why does consciousness fade during deep sleep, while cortical neurons remain active? Why does it recover, vivid, and intense, when the brain is disconnected from the external world during a dream? Can unresponsive patients with a functional island of cortex surrounded by widespread damage be conscious? Is a parrot that talks, or an octopus that learns and plays conscious? Can computers be conscious? Could a system behave like us and yet be devoid of consciousness—a zombie? The authors take on these basic questions by translating theoretical principles into anatomical observations, novel empirical measurements—such as an index of brain complexity that can be applied at the bedside of brain-injured patients—and thought experiments. The aim of the book is to describe, in an accessible way, a preliminary attempt to identify a general rule to size up the capacity for consciousness within the human skull and beyond.

2021 ◽  
Vol 15 ◽  
Author(s):  
Yali Chen ◽  
Jun Zhang

Consciousness is considered a result of specific neuronal processes and mechanisms in the brain. Various suggested neuronal mechanisms, including the information integration theory (IIT), global neuronal workspace theory (GNWS), and neuronal construction of time and space as in the context of the temporospatial theory of consciousness (TTC), have been laid forth. However, despite their focus on different neuronal mechanisms, these theories neglect the energetic-metabolic basis of the neuronal mechanisms that are supposed to yield consciousness. Based on the findings of physiology-induced (sleep), pharmacology-induced (general anesthesia), and pathology-induced [vegetative state/unresponsive wakeful syndrome (VS/UWS)] loss of consciousness in both human subjects and animals, we, in this study, suggest that the energetic-metabolic processes focusing on ATP, glucose, and γ-aminobutyrate/glutamate are indispensable for functional connectivity (FC) of normal brain networks that renders consciousness possible. Therefore, we describe the energetic-metabolic predispositions of consciousness (EPC) that complement the current theories focused on the neural correlates of consciousness (NCC).


Author(s):  
Kathleen Taylor

‘Beyond amyloid’ outlines recent challenges to the amyloid cascade hypothesis of Alzheimer’s disease. This theory’s enduring popularity has not been matched by success in the clinic. Some people without dementia appear to have high amyloid levels and some brain-injured patients with more amyloid have better outcomes than those with less. One possible explanation is that neurodegeneration begins long before symptoms appear. Other theories include amyloid as the defence rather than cause, and the idea of an immune response to infection causing inflammation in the brain. All this points towards the importance of method and the acknowledgement of the roles played by other parts of the body and lifestyle factors.


Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 524 ◽  
Author(s):  
Leigh Sheneman ◽  
Jory Schossau ◽  
Arend Hintze

Information integration theory has been developed to quantify consciousness. Since conscious thought requires the integration of information, the degree of this integration can be used as a neural correlate (Φ) with the intent to measure degree of consciousness. Previous research has shown that the ability to integrate information can be improved by Darwinian evolution. The value Φ can change over many generations, and complex tasks require systems with at least a minimum Φ . This work was done using simple animats that were able to remember previous sensory inputs, but were incapable of fundamental change during their lifetime: actions were predetermined or instinctual. Here, we are interested in changes to Φ due to lifetime learning (also known as neuroplasticity). During lifetime learning, the system adapts to perform a task and necessitates a functional change, which in turn could change Φ . One can find arguments to expect one of three possible outcomes: Φ might remain constant, increase, or decrease due to learning. To resolve this, we need to observe systems that learn, but also improve their ability to learn over the many generations that Darwinian evolution requires. Quantifying Φ over the course of evolution, and over the course of their lifetimes, allows us to investigate how the ability to integrate information changes. To measure Φ , the internal states of the system must be experimentally observable. However, these states are notoriously difficult to observe in a natural system. Therefore, we use a computational model that not only evolves virtual agents (animats), but evolves animats to learn during their lifetime. We use this approach to show that a system that improves its performance due to feedback learning increases its ability to integrate information. In addition, we show that a system’s ability to increase Φ correlates with its ability to increase in performance. This suggests that systems that are very plastic regarding Φ learn better than those that are not.


2017 ◽  
Vol 04 (04) ◽  
pp. S13-S18 ◽  
Author(s):  
Seelora Sahu ◽  
Amlan Swain

AbstractMeasurement and monitoring of intracranial pressure is pivotal in management of brain injured patients. As a rapid and easily done bed side measurement, ultrasonography of the optic nerve sheath diameter presents itself as a possible replacement of the conventional invasive methods of intracranial pressure management. In this review we go through the evolution of optic nerve sheath diameter measurement as a novel marker of predicting raised intracranial pressure, the modalities by which it can be measured as well as its correlation with the invasive methods of intracranial pressure monitoring.


1982 ◽  
Vol 95 (4) ◽  
pp. 708 ◽  
Author(s):  
John S. Carroll ◽  
Norman H. Anderson

2003 ◽  
Vol 15 (6) ◽  
pp. 862-872 ◽  
Author(s):  
Umberto Castiello ◽  
Dean Lusher ◽  
Carol Burton ◽  
Peter Disler

The aims of the present study were to investigate whether the processing of an object shadow occurs implicitly, that is without conscious awareness, and where physically within the human brain shadows are processed. Here we present neurological evidence, obtained from studies of brain-injured patients with visual neglect, that shadows are implicitly processed and that this processing may take place within the temporal lobe. Neglect patients with lesions that do not involve the right temporal lobe were still able to process shadows to optimize object shape perception. In contrast, shadow processing was not found to be as efficient in neglect patients with lesions that involve the right temporal lobe.


2005 ◽  
Vol 90 (11) ◽  
pp. 6085-6092 ◽  
Author(s):  
Gianluca Aimaretti ◽  
Maria Rosaria Ambrosio ◽  
Carolina Di Somma ◽  
Maurizio Gasperi ◽  
Salvatore Cannavò ◽  
...  

Abstract Context: Traumatic brain injury (TBI) and subarachnoid hemorrhage (SAH) are conditions at high risk for the development of hypopituitarism. Objective: The objective of the study was to clarify whether pituitary deficiencies and normal pituitary function recorded at 3 months would improve or worsen at 12 months after the brain injury. Design and Patients: Pituitary function was tested at 3 and 12 months in patients who had TBI (n = 70) or SAH (n = 32). Results: In TBI, the 3-month evaluation had shown hypopituitarism (H) in 32.8%. Panhypopituitarism (PH), multiple (MH), and isolated (IH) hypopituitarism had been demonstrated in 5.7, 5.7, and 21.4%, respectively. The retesting demonstrated some degree of H in 22.7%. PH, MH, and IH were present in 5.7, 4.2, and 12.8%, respectively. PH was always confirmed at 12 months, whereas MH and IH were confirmed in 25% only. In 5.5% of TBI with no deficit at 3 months, IH was recorded at retesting. In 13.3% of TBI with IH at 3 months, MH was demonstrated at 12-month retesting. In SAH, the 3-month evaluation had shown H in 46.8%. MH and IH had been demonstrated in 6.2 and 40.6%, respectively. The retesting demonstrated H in 37.5%. MH and IH were present in 6.2 and 31.3%, respectively. Although no MH was confirmed at 12 months, two patients with IH at 3 months showed MH at retesting; 30.7% of SAH with IH at 3 months displayed normal pituitary function at retesting. In SAH, normal pituitary function was always confirmed. In TBI and SAH, the most common deficit was always severe GH deficiency. Conclusion: There is high risk for H in TBI and SAH patients. Early diagnosis of PH is always confirmed in the long term. Pituitary function in brain-injured patients may improve over time but, although rarely, may also worsen. Thus, brain-injured patients must undergo neuroendocrine follow-up over time.


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