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.

• Wang R, Wang GJ, Goldstein RZ, Caparelli EC, Volkow ND, Fowler JS et al. (2010). "Induced magnetic force in human heads exposed to 4 T MRI". J Magn Reson Imaging 31 (4): 815-20. DOI:10.1002/jmri.22125. PMID 20373424. Research Blogging. ^[e]

Describes a measurement of magnetic field gradients and magnetic forces, based on FLASH-MRI data obtained at 4 T from 118 healthy human subjects (of which 100 males) aged between 18 and 60 years. Concludes that "the induced magnetic force is highly significant in the eyeballs, orbitofrontal and temporal cortices, subcallosal gyrus, anterior cingulate as well as midbrain and brainstem (pons), regardless of subjects' age or gender. "

• Bandettini PA (2009). "Seven topics in functional magnetic resonance imaging". J Integr Neurosci 8 (3): 371-403. DOI:10.1142/S0219635209002186. PMID 19938211. Research Blogging. ^[e]

Provides an overview on the state of the art in functional Magnetic resonance imaging as of mid-2009, focusing on the following seven interrelated topics:

"(1) Clinical impact, (2) Utilization of individual functional maps, (3) fMRI signal interpretation, (4) Pattern effect mapping and decoding, (5) Endogenous oscillations, (6) MRI technology, and (7) Alternative functional contrast mechanisms."

• Pradel, Alan; Max Langer & John G. Maisey et al. (2009), "Skull and brain of a 300-million-year-old chimaeroid fish revealed by synchrotron holotomography", Proceedings of the National Academy of Sciences: in press, DOI:10.1073/pnas.0807047106 ^[e]

Synchrotron-based neuroimaging of what may be the oldest known fossil brain.

• Bohland JW, Wu C, Barbas H, Bokil H, Bota M, Breiter HC et al. (2009). "A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale". PLoS Comput Biol 5 (3): e1000334. DOI:10.1371/journal.pcbi.1000334. PMID 19325892. PMC PMC2655718. Research Blogging. ^[e]

Suggests a framework for the study of the brain in model organisms at a mesoscopic scale, i.e. at length scales between the microscopic (≤ 100μm) and macroscopic (≥ several mm) levels. Based on the experience with the impact of wide-spread data sharing in other scientific disciplines (e.g. genomics), the criteria for a centralized knowledge repository on mesoscopic aspects of the brain in the rat, the macaque and humans are laid out.

• Smith SM, Nichols TE (2009). "Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference". Neuroimage 44 (1): 83-98. DOI:10.1016/j.neuroimage.2008.03.061. PMID 18501637. Research Blogging. ^[e]

• Buckner, R.L.; J.R. Andrews-Hanna & D.L. Schacter (2008), "The brain's default network: anatomy, function, and relevance to disease", Annals of the New York Academy of Sciences 1124: 1-38, DOI:10.1196/annals.1440.011 ^[e]
• 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.

• Liu PK, Mandeville JB, Dai G, Jenkins BG, Kim YR, Liu CH (2008). "Transcription MRI: a new view of the living brain". Neuroscientist 14 (5): 503-20. DOI:10.1177/1073858407309746. PMID 18024855. Research Blogging. ^[e]

• 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.

• Borsook D, Moulton EA, Schmidt KF, Becerra LR (2007). "Neuroimaging revolutionizes therapeutic approaches to chronic pain". Mol Pain 3: 25. DOI:10.1186/1744-8069-3-25. PMID 17848191. PMC PMC2048498. Research Blogging. ^[e]

• Kim PE, Zee CS (2007). "Imaging of the cerebrum". Neurosurgery 61 (1 Suppl): 123-46; discussion 146. DOI:10.1227/01.neu.0000279316.03266.cd. PMID 18813174. Research Blogging. ^[e]

A well-written overview over the history of neuroimaging.

• 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): 6314-6317. 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
• Toga AW, Thompson PM, Sowell ER (2006). "Mapping brain maturation". Trends Neurosci 29 (3): 148-59. DOI:10.1016/j.tins.2006.01.007. PMID 16472876. Research Blogging. ^[e]

• 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
• Donaldson DI (2004). "Parsing brain activity with fMRI and mixed designs: what kind of a state is neuroimaging in?". Trends Neurosci 27 (8): 442-4. DOI:10.1016/j.tins.2004.06.001. PMID 15271489. Research Blogging. ^[e]

• 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): 9240-9245. PMID 14534258. ^[e]

• Linden DE (2002). "Five hundred years of brain images". Arch Neurol 59 (2): 308-13. PMID 11843706. ^[e]

• 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.

• Lazar NA, Luna B, Sweeney JA, Eddy WF (2002). "Combining brains: a survey of methods for statistical pooling of information". Neuroimage 16 (2): 538-50. DOI:10.1006/nimg.2002.1107. PMID 12030836. Research Blogging. ^[e]

• 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.