New paradigms in systems neuroscience (connectomics; network neuroscience; and critical transition theory) provide an intellectual toolkit to describe and predict these state changes at the systems level.
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critical transition theory
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The paper frames cognitive decline and transition to neurodegenerative disease as rapid global state transitions in neural networks rather than simple linear regression.
Quoted textsource-backed
Cognitive deterioration and the transition to neurodegenerative disease does not develop through simple, linear regression; it develops as rapid and global transitions from one state to another within the neural network.
The paper proposes a unified framework in which molecular pathology, circuit behavior, and computational intelligence converge to describe cognitive decline as a translatable change of state and to guide precision neurointervention and regenerative brain medicine.
Quoted textsource-backed
Instead, we aim to present a unified model where the phenomena of molecular pathology; circuit behavior; and computational intelligence converge in describing cognitive decline as a translatable change of state, rather than an irreversible succumbing to degeneration. Thus, we provide a framework for precision neurointervention, regenerative brain medicine, and adaptive intervention, to modulate the trajectory of neurodegeneration.
Disruptive changes in glymphatic clearance mechanisms, aquaporin-4 polarity, venous output, and neuroimmune signaling correlate with neurophysiologic homeostasis and lead to destabilization of network attraction sites linked to memory, consciousness, and cognitive resilience.
Quoted textsource-backed
The paper will integrate the latest findings that have demonstrated how the disruptive changes in glymphatic clearance mechanisms, aquaporin-4 polarity, venous output, and neuroimmune signaling increasingly correlate with the neurophysiologic homeostasis landscape, ultimately leading to the destabilization of the network attraction sites of memory, consciousness, and cognitive resilience.