Concepedia

Concept

Neuroimaging

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Brain Imaging

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Stereotaxic Atlas–Driven Neuroimaging

1948 - 1983

During this era, computed tomography and early metabolic imaging laid a groundwork for in vivo brain mapping and clinical diagnostics, while foundational stereotaxic brain atlases provided standardized localization that supported cross-species comparisons and imaging interpretation. The emergence of tomographic perfusion and glucose metabolism measures enabled visualization of brain function in health and disease, and the field began to integrate multimodal approaches with electrophysiology and imaging to explore network-level organization. Historical Significance: The period produced enduring anatomical and methodological references that anchored subsequent imaging revolutions, fostering standardized localization, cross-lab comparability, and a coherent framework that merged anatomy, physiology, and imaging for future functional studies.

Metabolic and perfusion-based functional neuroimaging emerged in the 1970s–1980s, enabling in vivo brain metabolism mapping and clinical visualization of stroke, epilepsy, and perfusion patterns [4], [7], [18], [20].

Visual cortex functional organization and receptive-field mapping across cats and primates framed the principles of cortical topography and feature maps, spanning early single-neuron receptive fields to higher visual areas [1], [3], [6], [8], [13], [15], [16].

Imaging-based clinical neurodiagnostics advanced through computed tomography and lesion visualization, enabling atrophy assessment, visual deficits, and surgical planning implications in patients [5], [11], [12], [17].

Foundational anatomical mapping tools—stereotaxic brain atlases and pathway mapping—provided standard references for imaging interpretation and cross-species comparisons in neuroanatomy [9], [10], [14], [15].

Integration of multimodal approaches with electrophysiology and tomographic perfusion imagery underlined network-level brain investigations, illustrating how BEAM and tomographic perfusion complement structural and functional data [4], [19], [20].

Structural-Functional Neuroimaging

1984 - 1990

Integrated Functional-Diffusion Neuroimaging

1991 - 2006

Resting-State and Diffusion Connectomics

2007 - 2013

Deep Learning Neuroimaging

2014 - 2024