Journal
JOURNAL OF NEUROSCIENCE
Volume 38, Issue 8, Pages 2106-2117Publisher
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.2335-17.2017
Keywords
anatomic tracing; bipolar disorder; diffusion MRI; prefrontal cortex; white matter
Categories
Funding
- NIMH [MH045573, MH106435, MH103931]
- Shared Instrumentation Grants [S10RR016811, S10RR023401, S10RR019307]
- NIH Blueprint for Neuroscience Research [U01-MH093765]
- Medical Research Council [MR/L009013/1] Funding Source: researchfish
- Wellcome Trust [104765/Z/14/Z] Funding Source: researchfish
- MRC [MR/L009013/1] Funding Source: UKRI
- Wellcome Trust [104765/Z/14/Z] Funding Source: Wellcome Trust
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The anterior limb of the internal capsule (ALIC) carries thalamic and brainstem fibers from prefrontal cortical regions that are associated with different aspects of emotion, motivation, cognition processing, and decision-making. This large fiber bundle is abnormal in several psychiatric illnesses and a major target for deep brain stimulation. Yet, we have very little information about where specific prefrontal fibers travel within the bundle. Using a combination of tracing studies and diffusion MRI in male nonhuman primates, as well as diffusion MRI in male and female human subjects, we segmented the human ALIC into five regions based on the positions of axons from different cortical regions within the capsule. Fractional anisotropy (FA) abnormalities in patients with bipolar disorder were detected when FA was averaged in the ALIC segment that carries ventrolateral prefrontal cortical connections. Together, the results set the stage for linking abnormalities within the ALIC to specific connections and demonstrate the utility of applying connectivity profiles of large white matter bundles based on animal anatomic studies to human connections and associating disease abnormalities in those pathways with specific connections. The ability to functionally segment large white matter bundles into their components begins a new era of refining how we think about white matter organization and use that information in understanding abnormalities.
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