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      of discovery in brain science. The discrepancy in   post-processing algorithms improved visualization
      treatment options for conditions above vs. below the   of both healthy and pathological brain tissue (11).
      neck contributed to a growing population of adults     Anatomical detail provided by high field MRI
       living longer lifespans, including a growing number   opened a new world of brain structure-function rela-
      of individuals with age-associated neurodegenerative   tionships supported by the demarcation of tissue
      diseases (8). The limited treatment options for the   classification into cortical gray matter, subcortical
      projected expansion of adults with neurodegenera-  white matter, and subcortical gray matter. Volumes
      tive diseases of the brain such as Alzheimer’s disease,   of brain regions (e.g., frontal lobe) and specific nuclei
      growing healthcare costs, and increasing numbers of   (e.g., caudate nucleus) could be readily quantified
      uninsured individuals all pointed towards an emerg-  and contrasted between patient groups and healthy
      ing health crisis.                            controls or analyzed within groups to determine the
        Political pressure culminated in a Presidential   degree of shared variance between brain volumes
      proclamation signed in 1989 declaring the period   and measures of cognition, personality, or emotion.
      from 1990-1999 as the “Decade of the Brain” (5).   Landmark studies revealed reduced hippocampal
      The initiative targeted 14 areas in the neurological   volume in the earliest stages of Alzheimer’s disease (6),
       sciences primed for breakthroughs in prevention,   microvascular infarcts in subcortical white matter (2),
      treatment, and cures for the most vexing and com-  as well as numerous other clinically relevant findings.
      mon neurological conditions. The Decade ended   However, the focus on specific nuclei and regional
      with few treatments and no interventions capable   lobes belied the anatomical complexity of the brain
      of reversing or halting common forms of neuro-  previously characterized in histological studies. Work
      degenerative diseases, such as Alzheimer’s disease,   dating back to Golgi and Cajal (1) brilliantly revealed
      Parkinson’s disease, or vascular dementia. However,   the multiplex architecture of neural networks using
      innovative work in the field of neural bioinformatics   relatively crude methods in the 1800s, yet modern
      and neuroimaging flourished during this period, and   neuroimaging studies restricted analyses to focal
      enthusiasm was high that neuroimaging technology   brain regions. In effect, the field defaulted to a digi-
       seeded during the 1990s would significantly alter the   tized version of phrenology, ascribing complex and
      cadence of brain science outcomes in the near future   diverse human behaviors to isolated brain volumes.
      (10). This prediction proved accurate as borne out   New technology was needed to measure brain net-
      through subsequent research that leveraged a his-  work integrity on a larger scale.
      torical foundation in magnetic resonance imaging     The introduction of diffusion tensor imaging
      (MRI).                                        (DTI) opened a new technical portal away from the
        Early MRI systems introduced in the 1970s pro-  hyper-focused regionalization of volumetric studies.
      vided researchers and clinicians with vastly improved   DTI measures the rate and direction of water flow (i.e.,
       spatial resolution of brain anatomy compared to   hydrogen) in the brain, both of which are altered by
      radiographic methods of the past. High field MRI   neuronal damage (9). Common DTI outputs include
      using 1.5 Tesla (15,000 Gauss) became common in   scalar metrics of water diffusion, such as fractional
       both research and clinical settings, followed by the   anisotropy, mean diffusivity, axial diffusivity, and
      introduction of 3 Tesla systems. The image resolution   radial diffusivity (see Baker et al. in this issue for
      of 3 Tesla MRI is approximately 16 times that of 1.5   review). Refinement of DTI pulse sequences during
      Tesla systems, allowing for significantly improved   the Decade of the Brain allowed researchers to visual-
       signal-to-noise ratio and improved anatomical detail.   ize network connections by measuring the curvature
      Eventually, 4 Tesla and even 7 Tesla systems were   of the diffusion metrics along known anatomical fas-
      introduced at select research centers, the latter pro-  ciculi. For the first time, the structural integrity of the
      viding a magnetic field 140,000 times that of earth’s   brain (later referred to as the connectome) (12) could
      gravitational force. The improvements in image acqui-  be defined. Subsequent studies developed methods
       sition at higher field strengths combined with robust   to quantify the integrity of brain white matter tracts
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