Neuroimaging/Bibliography

Please sort and annotate in a user-friendly manner. For formatting, consider using automated reference wikification.

This list should eventually be split into sections - e.g. structural vs. functional imaging, clinical vs. psychological vs. comparative, or developmental vs. learning vs. aging vs. diagnostic vs. comparative. Some of these references may fit better onto the bibliographies of some of the related pages.

• Bakshi, R.; A.J. Thompson & M.A. Rocca et al. (2008), "MRI in multiple sclerosis: current status and future prospects", Lancet Neurology 7 (7): 615–625, DOI:10.1016/S1474-4422(08)70137-6 ^[e]
• Zotev, Vadim S.; Petr L. Volegov & Andrei N. Matlashov et al. (2008), "Parallel MRI at microtesla fields", Journal of Magnetic Resonance 192: 197-208, DOI:10.1016/j.jmr.2008.02.015 ^[e]
• Hagmann, P.; Cammoun, L; Gigandet, X; Meuli, R; Honey, C. J.; Wedeen, V.J.; Sporns, O. (2008). "Mapping the Structural Core of Human Cerebral Cortex". PLoS Biology 6 (7): e159. DOI:10.1371/journal.pbio.0060159. Research Blogging.

• Ruthensteiner, B. & M. Heß (2008), "Embedding 3D models of biological specimens in PDF publications", Microsc Res Tech 71: 778-786, DOI:10.1002/jemt.20618 ^[e]
• Glasser, Matthew F. & James K. Rilling (2008), "DTI Tractography of the Human Brain's Language Pathways", Cerebral Cortex 18 (11): 2471-2482, DOI:10.1093/cercor/bhn011
• Saur, D.; B.W. Kreher & S. Schnell et al. (2008), "Ventral and dorsal pathways for language", Proceedings of the National Academy of Sciences 105 (46): 18035-18040, DOI:10.1073/pnas.0805234105
• MacKenzie-Graham, A.J.; Van Horn, J.D.; Woods, R.P.; Crawford, K.L.; Toga, A.W. (2008). "Provenance in neuroimaging". Neuroimage 42: 178-195. DOI:10.1016/j.neuroimage.2008.04.186. Research Blogging.

• Logothetis, N.K. (2008). "What we can do and what we cannot do with fMRI". Nature 453: 869-878. DOI:10.1038/nature06976. Research Blogging.

• Steinbeis, N.; Koelsch, S. (2008). "Comparing the Processing of Music and Language Meaning Using EEG and fMRI Provides Evidence for Similar and Distinct Neural Representations". PLoS ONE 3 (5). DOI:10.1371/journal.pone.0002226. Research Blogging.

• Duyn, Jeff & Alan P. Koretsky (2008), "Magnetic resonance imaging of neural circuits", Nature Clinical Practice Cardiovascular Medicine 5 (2s): S71–S78, DOI:10.1038/ncpcardio1248 ^[e]
• Vallender, E.J.; N. Mekel-Bobrov & B.T. Lahn (2008), "Genetic basis of human brain evolution", Trends in Neurosciences 31: 637, DOI:10.1016/j.tins.2008.08.010 ^[e]

A brief and balanced overview over the genetic mechanisms currently deemed relevant for the evolution of the human brain, along with pointers to some related methodological issues.

Quote relevant to neuroimaging:

"...comparative genomics, which has been the main workhorse of current studies, needs to be complemented by cleverly designed in vivo and in vitro functional experiments aimed at probing the exact phenotypic consequence of evolutionary changes in DNA sequence."

• Malhi, G.S. & J. Lagopoulos (2008), "Making sense of neuroimaging in psychiatry", Acta Psychiatrica Scandinavica 117 (2): 100–117, DOI:10.1111/j.1600-0447.2007.01111.x ^[e]

Quote relevant to neuroimaging:

"We anticipate that clinical use of neuroimaging modalities in psychiatry will increase dramatically in the near future and suggest that clinicians need to be aware of the potential applications."

• Hagmann, P.; Kurant, M.; Gigandet, X.; Thiran, P.; Wedeen, V.J.; Meuli, R.; Thiran, J.P. (2007). "Mapping Human Whole-Brain Structural Networks with Diffusion MRI". PLoS ONE 2 (7): e597. DOI:10.1371/journal.pone.0000597. Research Blogging.

• Van Essen, D.C.; Dierker, D.L. (2007). "Surface-Based and Probabilistic Atlases of Primate Cerebral Cortex". Neuron 56 (2): 209-225. DOI:10.1016/j.neuron.2007.10.015. Research Blogging.

• Devlin, J.T. & R.A. Poldrack (2007), "In praise of tedious anatomy", Neuroimage 37 (4): 1033–1041, DOI:10.1016/j.neuroimage.2006.09.055 ^[e]
• Draganski, B.; Gaser, C.; Kempermann, G.; Kuhn, H.G.; Winkler, J.; Buchel, C.; May, A. (2006). "Temporal and Spatial Dynamics of Brain Structure Changes during Extensive Learning". Journal of Neuroscience 26 (23): 6314. DOI:10.1523/JNEUROSCI.4628-05.2006. Research Blogging. ^[e]

• Friederici, A.D.; J. Bahlmann & S. Heim et al. (2006), "The brain differentiates human and non-human grammars: Functional localization and structural connectivity", Proceedings of the National Academy of Sciences 103 (7): 2458–2463, DOI:10.1073/pnas.0509389103
• Johansen-Berg, H. & T.E.J. Behrens (2006), "Just pretty pictures? What diffusion tractography can add in clinical neuroscience", Current Opinion in Neurology 19 (4): 379-385, DOI:10.1097/01.wco.0000236618.82086.01
• Powell, H.W.R.; G.J.M. Parker & D.C. Alexander et al. (2006), "Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography …", Neuroimage 32 (1): 388–399, DOI:10.1016/j.neuroimage.2006.03.011
• Bridge, H. & S. Clare (2006), "High-resolution MRI: in vivo histology?", Philosophical Transactions of the Royal Society B: Biological Sciences 361 (1465): 137–146, DOI:10.1098/rstb.2005.1777 ^[e]

Briefly reviews the state of the art of high resolution magnetic resonance imaging in the living brain and answers the question in the title basically positively. Quote from the conclusions: "While being able to understand the relationship between brain structure and function is likely to be crucial in attaining a complete understanding of the brain, the potential of this in vivo technique for understanding diseases of the brain is considerable. It is currently very difficult to detect many neurodegenerative diseases such as Alzheimer's and Parkinson's until there has been considerable damage to the brain and patients have begun to show symptoms. If these diseases could be detected at an earlier stage, the opportunities for pre-symptomatic treatment are much greater. In the future, high resolution magnetic resonance imaging could become a standard method of detecting pathological changes in the brain at the earliest possible occasion, leading to treatment and the minimization of irreversible damage."

• Mechelli, A.; Price, C.J.; Friston, K.J.; Ashburner, J. (2005). "Voxel-Based Morphometry of the Human Brain: Methods and Applications". Current Medical Imaging Reviews 1 (2): 105-113. DOI:10.2174/1573405054038726. Research Blogging.

• Rohlfing, T.; F. Schaupp & D. Haddad et al. (2005), "Unwarping confocal microscopy images of bee brains by nonrigid registration to a magnetic resonance microscopy image", J Biomed Opt 10 (2): 024018, DOI:10.1117/1.1896025 ^[e]
• Friston, K.J. (2005). "Models Of Brain Function In Neuroimaging". Annual Review of Psychology 56 (1): 57-87. DOI:10.1146/annurev.psych.56.091103.070311. Research Blogging.

• Sporns, O.; G. Tononi & R. Kötter (2005), "The Human Connectome: A Structural Description of the Human Brain", PLoS Comput Biol 1 (4): e42, DOI:10.1371/journal.pcbi.0010042
• Bernasconi, A. (2004), "Quantitative MR imaging of the neocortex", Neuroimaging Clinics of North America 14 (3): 425–436, DOI:10.1016/j.nic.2004.04.013
• Haddad, D.; F. Schaupp & R. Brandt et al. (2004), "NMR imaging of the honeybee brain", J Insect Sci 4: 7
• Schmitt, O.; M. Pakura & T. Aach et al. (2004), "Analysis of nerve fibers and their distribution in histologic sections of the human brain", Microscopy Research and Technique 63 (4): 220–243, DOI:10.1002/jemt.20033 ^[e]
• Kessler, R.M. (2003), "Imaging methods for evaluating brain function in man", Neurobiology of Aging 24: 21–35, DOI:10.1016/S0197-4580(03)00047-2 ^[e]
• Horwitz, B. (2003). "The elusive concept of brain connectivity". Neuroimage 19 (2): 466-470. DOI:10.1016/S1053-8119(03)00112-5. Research Blogging.

• Gaser, C.; Schlaug, G. (2003). "Brain Structures Differ between Musicians and Non-Musicians". Journal of Neuroscience 23 (27): 9240.

• Van Essen, D.C. (2002). "Windows on the brain: the emerging role of atlases and databases in neuroscience". Current Opinion in Neurobiology 12 (5): 574-579. DOI:10.1016/S0959-4388(02)00361-6. Research Blogging.

• Beaulieu, A. (2002), "A Space for Measuring Mind and Brain: Interdisciplinarity and Digital Tools in the Development of Brain Mapping and Functional Imaging, 1980–1990", Brain and Cognition 49 (1): 13–33, DOI:10.1006/brcg.2001.1461 ^[e]
• Weiss, K.L.; Q. Dong & W.J. Weadock et al. (2002), "Multiparametric Color-encoded Brain MR Imaging in Talairach Space", RadioGraphics 22 (2): e3
• Logothetis, N.K.; Pauls, J.; Augath, M.; Trinath, T.; Oeltermann, A. (2001). "Neurophysiological investigation of the basis of the fMRI signal". Nature 412: 150-157. DOI:10.1038/35084005. Research Blogging.

• Berns, G.S. (1999). "Functional neuroimaging". Life Sciences 65 (24): 2531-2540.

• Rilling, J.K. & T.R. Insel (1998), "Evolution of the cerebellum in primates: differences in relative volume among monkeys, apes and humans", Brain Behav Evol 52 (6): 308–314, DOI:10.1159/000006575 ^[e]
• Caviness, V.S.; Kennedy, D.N.; Makris, N.; Bates, J. (1995), "Advanced application of magnetic resonance imaging in human brain science", Brain and Development 17 (6): 399–408, DOI:10.1016/0387-7604(95)00090-9
• Kwong, K.K.; Belliveau, J.W.; Chesler, D.A.; Goldberg, I.E.; Weiskoff, R.M.; Poncelet, B.P.; Kennedy, D.N.; Hoppel, B.E.; Cohen, M.S.; Turner, R.; Cheng, H.M.; Brady T.J.; Rosen B.R. (1992). "Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation". Proc. Natl. Acad. Sci. USA 89 (12): 5675-5679.

• Ogawa, S.; Lee, T.M.; Kay, A.R.; Tank, D.W. (1990). "Brain magnetic resonance imaging with contrast dependent on blood oxygenation.". Proc Natl Acad Sci US A 87 (24): 9868-72.

• Haug, H. (1986), "History of neuromorphometry", J Neurosci Methods 18 (1-2): 1–17, DOI:10.1016/0165-0270(86)90110-X ^[e]
• Roy, C.S.; Sherrington, C.S. (1890). "On the Regulation of the Blood-supply of the Brain". The Journal of Physiology 11 (1-2): 85.