Brain Overview - Concepedia

Principles

Definition

Brain is the central organ of the nervous system, serving as a primary subject of academic inquiry across disciplines like neuroscience and psychology. Its study investigates the complex structure, function, development, and plasticity underlying cognitive processes, behavior, and consciousness, holding significance for understanding biological systems and related disorders.

Ontological type

Anatomical Structure

Disorders and Pathophysiology

Plasticity Mechanisms

Key developments

Key Figures

Networked Cortical Foundations era

Donald Hebb's cell-assembly theory, articulated in the mid-20th century and influential through the 1955–1968 period, proposed that memory and perception arise from the coordinated activity of distributed cortical ensembles. Vernon Mountcastle's electrophysiological work revealed columnar organization in the neocortex, linking local specialization to broader cortical circuitry. David Hubel and Torsten Wiesel mapped receptive field properties in the visual cortex, showing modular processing through simple and complex cells that exemplify cortical motifs. Together these contributions anchored a framework in which connectivity, modular architecture, and assembly-like dynamics underlie short-term information storage and perceptual computation.

Emergence of Intrinsic Networks era

Marcus E. Raichle [1] emerges as a central figure of this era, with stints at Harvard University [3] and Washington University in St. Louis [4]. Raichle [1] defined core contributions by identifying the brain's default mode and intrinsic organization, as evidenced in the 2001 default mode paper [6] and the 2005 dynamic anticorrelated functional networks paper [7], which revealed stable resting-state coherence and reframed cognition around distributed networks for this era. Abraham Z. Snyder [2] emerges as another central figure, with affiliations to Rockefeller University [5] and Washington University in St. Louis [4]. Snyder [2] co-authored the 2001 default mode paper [6] and the 2005 anticorrelated networks paper [7], helping to formalize resting-state networks and the balance between local specialization and global integration that underpins the network paradigm of this era.

Multimodal Connectome Hubs era

Hesheng Liu [1] is a leading figure in this era, with affiliations at Harvard University [3] and Huazhong Agricultural University [4]. His key contribution was the organization of the human cerebral cortex estimated by intrinsic functional connectivity, as demonstrated by the 2011 paper The organization of the human cerebral cortex estimated by intrinsic functional connectivity [6], which established resting-state networks as a principled basis for large-scale, multimodal parcellation. Bruce Fischl [2] is a central figure in this era, with affiliations at the Harvard–MIT Division of Health Sciences and Technology [5] and Harvard University [3]. Bruce Fischl [2] contributed to automated cortical surface reconstruction and scalable pipelines for multimodal data analysis, as exemplified by the intrinsic functional connectivity paper [6], which helped standardize tools and enable hub-centric analyses.