Relevant bibliographies by topics / Brain function

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Brain function'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2025

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Journal articles on the topic "Brain function"

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Markou, Athina, Theodora Duka, and Gordana Prelevic. "Estrogens and brain function." HORMONES 4, no. 1 (2005): 9–17. http://dx.doi.org/10.14310/horm.2002.11138.

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Greenfield, S. A. "Brain function." Archives of Disease in Childhood 88, no. 11 (2003): 954–55. http://dx.doi.org/10.1136/adc.88.11.954.

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Celesia, Gastone G. "Brain Imaging and Brain Function." Journal of Clinical Neurophysiology 3, no. 2 (1986): 169. http://dx.doi.org/10.1097/00004691-198604000-00012.

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Holland, Betsy A. "Brain Imaging and Brain Function." Radiology 158, no. 2 (1986): 430. http://dx.doi.org/10.1148/radiology.158.2.430.

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White, Robert J. "Brain imaging and brain function." Surgical Neurology 25, no. 2 (1986): 199. http://dx.doi.org/10.1016/0090-3019(86)90300-9.

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Heales, D. S. "pH AND BRAIN FUNCTION." Brain 122, no. 9 (1999): 1794–96. http://dx.doi.org/10.1093/brain/122.9.1794.

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Cole, Daniel J., and Evan D. Kharasch. "Postoperative Brain Function." Anesthesiology 129, no. 5 (2018): 861–63. http://dx.doi.org/10.1097/aln.0000000000002085.

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Owen, Adrian M. "Human Brain Function." Journal of Psychophysiology 14, no. 2 (2000): 128–29. http://dx.doi.org/10.1027//0269-8803.14.2.128.

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Dahaba, Ashraf A. "Brain Function Monitors." Anesthesia & Analgesia 128, no. 5 (2019): 1042–44. http://dx.doi.org/10.1213/ane.0000000000004007.

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BONIFACE, S. "Human Brain Function." Journal of Neurology, Neurosurgery & Psychiatry 65, no. 3 (1998): 410b. http://dx.doi.org/10.1136/jnnp.65.3.410b.

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Dissertations / Theses on the topic "Brain function"

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Tidswell, Alexander Thomas. "Functional Electrical Impedance Tomography of adult and neonatal brain function." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1445123/.

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Electrical Impedance Tomography (EIT) is a fast, portable imaging technique that produces tomographic images of the internal impedance of an object from surface electrode measurements. This thesis reports the first use of EIT to image evoked brain activity in adults and neonates and determines whether accurate EIT images could be obtained from the adult and neonatal brain. In addition, a realistic head-tank phantom was developed to test the performance of EIT with known impedance changes placed within a real human skull. Two EIT systems were used. Images were obtained using 31 or 21 Ag/AgCl EEG scalp electrodes in adults and neonates, respectively, with either 256 or 187 individual impedance measurements from different electrode combinations: 2 applied a safe, alternating current and 2 measured the resultant scalp voltage. Imaging was performed using a block design with 6-15 stimulation periods of between 10-75s during either: 1) Visual, 2) Somatosensory or 3) Motor stimuli. Impedance changes were detected in 38/39 adults and 9/9 neonates within 0.6-5.8s after stimulus onset, and returned to baseline 7.6-36s after stimulus cessation. Reconstructed images were noisy: -20-70% images showed correct localisation to the expected area of cortex stimulated by the visual, motor or somatosensory paradigms. As EIT images from the head-tank localised changes within 10% of the impedance perturbation, this indicated that poor localisation in humans was not due to the head-shape or the skull, but may be related to unknown physiological factors. An improved EIT reconstruction algorithm, using a computerised finite-element model of the head, showed improved localisation for the adult images. This is the first demonstration that EIT can detect and image impedance changes in the head, probably due to increased regional cerebral blood volume in the activated cortex. Improvements may enable more accurate neuroimaging of the adult and neonatal brain for use in clinical practice.
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Deshpande, Gopikrishna. "Nonlinear and network characterization of brain function using functional MRI." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24760.

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Thesis (Ph.D.)--Biomedical Engineering, Georgia Institute of Technology, 2007.<br>Committee Chair: Hu, Xiaoping; Committee Member: Brummer, Marijn; Committee Member: Butera, Robert; Committee Member: Oshinski, John; Committee Member: Sathian, Krish.
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McCorry, N. K. "Prenatal prediction of postnatal brain function." Thesis, Queen's University Belfast, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411140.

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MacLullich, Alasdair Maurice Joseph. "Cognitive function, the brain and glucocorticoids." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/24879.

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Several domains of cognitive function show lower mean scores and increasing variability with increasing age. Little is known about the biological mechanisms underlying these changes. There is evidence, largely from animal studies, that prolonged exposure to high levels of glucocorticoids is associated with (a) atrophy of brain regions known to be essential for cognitive functioning, such as the hippocampus, and (b) decrements in cognitive function with ageing. There are few human studies examining these links. The studies in this thesis were aimed at testing the hypotheses that elevated levels in Cortisol are associated with relative cognitive impairment, with relative atrophy of the hippocampus and other brain regions, and also with variations in the levels of brain metabolites, and also that cognitive function is associated with brain size and metabolites. Additionally, measures of glucose homeostasis (fasting glucose and glycosylated haemoglobin (HbAlc)) were hypothesised to be negatively correlated with cognitive function. Ill healthy, unmedicated men aged 65-70 were recruited. Subjects had blood taken for 9am, 2.30pm, and post-dexamethasone (0.25mg) Cortisol levels, fasting glucose, and HbAlc, and did a battery of cognitive tests, including tests of 'premorbid' intelligence, fluid intelligence, verbal and visuospatial memory and processing speed. 100 of the subjects underwent two modalities of neuroimaging: (a) structural magnetic resonance imaging, with intracranial area, hippocampus, temporal lobe and frontal lobe volumes measured, and (b) magnetic resonance spectroscopy (MRS), with N-acetylaspartate (NAA), choline (Cho) and creatine (Cr) levels measured. Principal components analyses showed that a single component (designated the 'general cognitive factor') accounted for 51% of the variance in cognitive performance; rotation yielded two correlated components representing fluid intelligence/visuospatial memory tasks, and verbal memory tasks. Intracranial area and several regional brain volumes correlated positively and significantly with 'premorbid' and fluid intelligence and visuospatial memory. Verbal memory and verbal fluency did not correlate significantly with any brain volumes. Structural equation modelling showed that the relationships between cognitive tests and brain volumes could best be summarised by a significant positive relationship between overall brain size and the general cognitive factor (r=0.42, p < 0.05), and not by associations between individual tests and particular brain regions. Both NAA/Cr and Cho/Cr ratios correlated positively with tests of verbal memory and a verbal memory factor (e.g. NAA/Cr and Logical Memory: r=0.24, p < 0.05). Cho/Cr ratios also correlated positively with visuospatial memory (eg. Visual Reproduction: r=0.21, p < 0.05). There were several small but statistically significant correlations in the predicted (negative) direction between brain volumes and Cortisol levels. Left temporal lobe volumes correlated with 9am Cortisol (r=-0.22) and 2.30pm Cortisol (r=-0.26), right temporal lobe volumes correlated with 9am Cortisol (r=-0.21), right hippocampal volumes correlated with 9am Cortisol (r=-0.22) and postdexamethasone Cortisol (r=-0.24). These correlations were significant at p < 0.05, 2- tailed. There were no significant correlations between Cortisol measures and metabolite ratios (from MRS). Correlations between Cortisol measures and cognitive tests were largely in the predicted direction, though few of these correlations reached conventional levels of statistical significance. The general cognitive factor and the fluid/intelligence factor, adjusted for 'premorbid' intelligence, correlated significantly and negatively with 9am Cortisol levels, at r=-0.23 (p=0.028, 2-tailed). HbAlc was significantly negatively correlated with two measures of verbal memory, but not with other cognitive tests (list-learning: r=-0.24, p=0.01; delayed paragraph recall r=-0.31, p=0.018, 2-tailed). These results demonstrate that in healthy, elderly men, overall brain size and metabolite ratios are significantly related to cognitive ability. A possible mechanistic link between these two domains is variations in Cortisol with ageing. The results of the present studies are supportive of the hypothesis that elevated glucocorticoids are associated with ageing-related changes in brain volumes, and, less clearly, cognitive function. Follow-up studies will help determine whether Cortisol levels are predictive of worsening brain atrophy and cognitive decline.
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Nakao, Akito. "Elucidation of Ca[2+] channel function in higher brain function." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/192194.

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Schott, Geoffrey. "Picturing the functions of the brain : 20th century graphic illustration of brain function ; observations and critical analysis." Thesis, Royal College of Art, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262785.

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Kinnunen, K. M. "Traumatic brain injury : relationships between brain structural abnormalities and cognitive function." Thesis, Goldsmiths College (University of London), 2011. http://research.gold.ac.uk/6498/.

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Traumatic brain injury (TBI) is the leading cause of disability in young adults and a major public health problem. Persistent cognitive impairments are common, and constitute a significant source of long-term disability. The specific pathophysiological mechanisms underlying these impairments remain poorly understood. As it disconnects brain networks, white matter damage can be a key determinant of cognitive impairment after TBI. Neuroimaging and neuropsychological methods were employed to explore the relationships between indices of brain structure and cognitive function. The participants were 40 TBI patients and 40 healthy controls. First, relationships between focal lesions and cognitive performance were investigated using structural magnetic resonance imaging (MRI) and a battery of neuropsychological tests. The results demonstrated that lesion location and load are not good indices of the cognitive deficits - probably because diffuse axonal injury is poorly assessed by standard MRI. By contrast, diffusion tensor imaging (DTI) can be used to quantify the microstructure of white matter. A ‘whole-brain’ technique, tract-based spatial statistics (TBSS), was used to flexibly analyse the structure of white matter tracts. Despite only small amounts of focal damage observed using standard MRI, TBSS revealed widespread white matter abnormalities after TBI. White matter damage was found in patients with no evidence of focal damage, and in patients classified as ‘mild’ clinically. Relationships between white matter tract structure and specific cognitive functions were then explored. The structure of the fornix, an important white matter pathway of the hippocampus, correlated with verbal associative memory across the patient and control groups. By contrast, structure of frontal lobe connections showed distinct relationships with executive function in these two groups. The results emphasise the importance of white matter pathology after TBI and suggest that disruption to specific white matter tracts is associated with particular patterns of cognitive impairment, but also highlight the complexity of these relationships.
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LaRoux, Charlene I. 1979. "Executive function deficits in traumatic brain injury." Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/11063.

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xii, 98 p. : ill. (some col.)<br>The short and long term pathophysiology of traumatic brain injury (TBI) has not been fully elucidated. Individuals recently suffering a mild TBI (mTBI) or having a history of TBI frequently suffer deficits in their ability to maintain and allocate attention within and between tasks. This dissertation examines the influence of mild and chronic TBI on performance of task switching. We employed spatial and numerical task switching paradigms to assess the behavioral deficits in mTBI, and we used an internally generated switching and an externally cued switching task along with functional Magnetic Resonance Imaging (fMRI) to assess the long term deficits in executive function resulting from chronic TBI. In the first experiment, individuals with mTBI were identified and tested within the first 48 hours of injury and then at a set interval 5, 14, and 28 days post injury. In the second investigation, individuals with chronic TBI were tested at least 12 months after their most recent injury. Healthy gender, age, and education matched controls were also tested in both studies. This research demonstrated that mTBI subjects display deficits in switching behavior within 48 hours of injury that failed to resolve a month post-injury; however, these costs did not generalize across the switching task types. Chronic TBI subjects performed internally generated and externally cued switching paradigms with a degree of success equivalent to that of healthy controls but displayed larger amounts of activation and recruited more areas of the brain at lower levels of difficulty and did not increase recruitment in a stepwise fashion at higher levels of difficulty. Mild TBI causes significant deficits in task switching, but there is specificity in these deficits. Chronic TBI patients performed at a level equivalent to that of controls but displayed different patterns and degree of activation. Taken together, these findings indicate that there may be a specific time frame during which task switching shows behavioral deficits, after which the subject may compensate for these deficits to produce normalized performance.<br>Committee in Charge: Dr. Paul van Donkelaar, Chair; Dr. Li-Shan Chou; Dr. Ulrich Mayr; Dr. Marjorie Woollacott
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Yu, Yingwei. "Computational role of disinhibition in brain function." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1762.

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Furmark, Tomas. "Social Phobia. From Epidemiology to Brain Function." Doctoral thesis, Uppsala University, Department of Psychology, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-546.

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<p>Social phobia is a disabling anxiety disorder characterized by an excessive fear of negative evaluation in social situations. The present thesis explored the epidemiology and neurobiology of the disorder. By means of a mailed questionnaire, the point prevalence of social phobia in the Swedish general population was estimated at 15.6%. However, prevalence rates varied between 1.9 and 20.4% across the different levels of distress and impairment used to define cases. Thus, although social anxiety is widespread within the community, the precise diagnostic boundaries for social phobia are difficult to determine. Social phobia was associated with female gender, low educational attainment, psychoactive medication use, and lack of social support. A cluster analysis revealed that subtypes of social phobia mainly differed dimensionally on a mild-moderate-severe continuum, with number of cases declining with increasing severity. Public speaking was the most common social fear in all groups of social phobics and in the population at large.</p><p>In the neurobiological studies, positron emission tomography was used to examine brain serotonin metabolism and changes in the regional cerebral blood flow (rCBF) response to public speaking stress following treatment with a selective serotonin reuptake inhibitor (SSRI) or cognitive-behavioral group therapy. Social phobics exhibited lowered serotonin turnover, relative to non-phobics, mainly in the medial temporal cortex including the bilateral rhinal and periamygdaloid regions. Symptom improvement with cognitive-behavioral- as well as SSRI-treatment was accompanied by a reduced rCBF-response to public speaking in the amygdala, hippocampus and adjacent temporal cortex, i.e. regions that serve important functions in anxiety. Thorough suppression of rCBF in limbic brain regions was associated with favorable long-term treatment outcome. These results provide neuroimaging evidence for a presynaptic serotonergic dysfunction in social phobia and for a common neural mechanism whereby psychological and pharmacological anti-anxiety treatments act.</p>
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Books on the topic "Brain function"

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August, Paul Nordstrom. Brain function. Chelsea House, 1988.

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1921-, Sokoloff Louis, and Association for Research in Nervous and Mental Disease., eds. Brain imaging and brain function. Raven Press, 1985.

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J, Frackowiak Richard S., ed. Human brain function. Academic Press, 1997.

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J, Frackowiak Richard S., ed. Human brain function. 2nd ed. Elsevier Academic Press, 2004.

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Letra, Liliana, and Raquel Seiça, eds. Obesity and Brain Function. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63260-5.

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Başar, Erol, ed. Chaos in Brain Function. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75545-3.

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Başar, Erol. Brain Function and Oscillations. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59893-7.

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Başar, Erol. Brain Function and Oscillations. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72192-2.

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1933-, Cotterill Rodney, ed. Models of brain function. Cambridge University Press, 1989.

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Orrison, William W. Atlas of brain function. Thieme Medical Publishers, 1995.

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Book chapters on the topic "Brain function"

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Scherrmann, Jean-Michel, Kim Wolff, Christine A. Franco, et al. "Assessing Brain Function." In Encyclopedia of Psychopharmacology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_3076.

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Herholz, K., P. Herscovitch, and W. D. Heiss. "Imaging Brain Function." In NeuroPET. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18766-7_3.

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Pimenidis, Margaritis Z. "Clinical Brain Function." In The Neurobiology of Orthodontics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00396-7_9.

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Chiaia, N. L., and T. J. Teyler. "Higher Brain Function." In A Child’s Brain. Routledge, 2021. http://dx.doi.org/10.4324/9781315860183-6.

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Nakamura, T., K. Ohata, K. Kurose, et al. "Brain Edema and Neurologic Function." In Brain Edema. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70696-7_74.

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Weis, Serge, Michael Sonnberger, Andreas Dunzinger, et al. "Localization of Brain Function." In Imaging Brain Diseases. Springer Vienna, 2019. http://dx.doi.org/10.1007/978-3-7091-1544-2_14.

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de Haan, M., and M. Martinos. "Brain Function." In Encyclopedia of Infant and Early Childhood Development. Elsevier, 2008. http://dx.doi.org/10.1016/b978-012370877-9.00028-1.

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"Auditory Function." In Human Brain Function. Elsevier, 2004. http://dx.doi.org/10.1016/b978-012264841-0/50005-6.

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"Somesthetic Function." In Human Brain Function. Elsevier, 2004. http://dx.doi.org/10.1016/b978-012264841-0/50006-8.

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Fawcett, James W., Anne E. Rosser, and Stephen B. Dunnett. "Motor, sensory, and autonomic function." In Brain Damage, Brain Repair. Oxford University Press, 2002. http://dx.doi.org/10.1093/acprof:oso/9780198523376.003.0017.

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Conference papers on the topic "Brain function"

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Valdes Quevedo, Pablo A., Alankar Kotwal, Alfredo Sandoval, Vishwanath Saragadam, Melisa Herrero, and Ashok Veeraraghavan. "Lighting up the brain: neurosurgical technologies for imaging brain structure and function." In Molecular-Guided Surgery: Molecules, Devices, and Applications XI, edited by Summer L. Gibbs and Kenneth M. Tichauer. SPIE, 2025. https://doi.org/10.1117/12.3049554.

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Mishra, Annu, Ravi Prakash Chaturvedi, Hirdesh Sharma, Prashant Kumar, Sameer Asthana, and Mayank Parashar. "Brain Tumor Detection using Optimized Stochastic Gradient Descent Function." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739205.

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Valentino, D. J., J. C. Mazziotta, and H. K. Huang. "Mapping Brain Function To Brain Anatomy." In Medical Imaging II, edited by Roger H. Schneider and Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968665.

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Parot, Vicente J., Samouil L. Farhi, Abhinav Grama, et al. "Wide Area Profiling of Neuronal Function Using Hadamard Microscopy." In Optics and the Brain. OSA, 2018. http://dx.doi.org/10.1364/brain.2018.bw2c.3.

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Valentino, D. J., P. D. Cutler, J. C. Mazziotta, H. K. Huang, R. A. Drebin, and C. A. Pelizzari. "Volumetric Display of Brain Function and Brain Anatomy." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.976455.

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Luo, Qingming. "Brainsmatics: Deciphering Brain Function with Brain-wide Networks." In International Conference on Photonics and Imaging in Biology and Medicine. OSA, 2017. http://dx.doi.org/10.1364/pibm.2017.w1a.2.

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Koch and Leisman. "Model of attentional brain function." In International Joint Conference on Neural Networks. IEEE, 1989. http://dx.doi.org/10.1109/ijcnn.1989.118663.

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Kercel, Stephen W., H. John Caulfield, and Paul Bach-y-Rita. "Bizarre hierarchy of brain function." In AeroSense 2003, edited by Kevin L. Priddy and Peter J. Angeline. SPIE, 2003. http://dx.doi.org/10.1117/12.496988.

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Bacskai, Brian. "Multiphoton Imaging of Structure and Function in Mouse Models of Alzheimer's Disease." In Optics and the Brain. OSA, 2016. http://dx.doi.org/10.1364/brain.2016.bth3d.1.

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Shapiro, Mikhail G. "Biomolecular Engineering of Reporters and Sensors for Noninvasive Imaging of Cellular Function." In Optics and the Brain. OSA, 2017. http://dx.doi.org/10.1364/brain.2017.brtu3b.2.

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Reports on the topic "Brain function"

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Vettel, Jean, Amy Dagro, Stephen Gordon, et al. Brain Structure-function Couplings (FY11). Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada556969.

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Merigan, William H. Localizing Visual Function in the Brain. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada267381.

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Vettel, J. M., M. Vindiola, A. Dagro, et al. Brain Structure-Function Couplings: Year 2 Accomplishments and Programmatic Plans. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada587393.

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Killgore, William. Effects of Bright Light Therapy of Sleep, Cognition, Brain Function, and Neurochemistry in Mild Traumatic Brain Injury. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada562581.

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Killgore, William D., and Lily Preer. Effects of Bright Light Therapy on Sleep, Cognition, Brain Function, and Neurochemistry in Mild Traumatic Brain Injury. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada583289.

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Killgore, William D., and Olga Tkachenko. Effects of Bright Light Therapy on Sleep, Cognition, Brain Function, and Neurochemistry in Mild Traumatic Brain Injury. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada621257.

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Scott, Ann, Joanna Duncan, David Tivey, and Wendy Babidge. Paediatric deep brain stimulation. The Sax Institute, 2019. http://dx.doi.org/10.57022/iksx3206.

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This review aimed to assess the evidence around the use of deep brain stimulation (DBS) for paediatric patients with severe dystonia. It aimed to answer the following questions: 1) Is paediatric DBS safe, efficacious and cost effective when compared with best supportive care?, 2) Is DBS more safe or more effective for some types of paediatric dystonia than others? Are there agreed patient selection criteria?, 3) What models of care and service delivery or access and funding mechanisms are established to deliver paediatric DBS internationally?. The available evidence is limited but the growing body of level IV evidence generally supports use of DBS for improving motor function and disability. More data is needed that looks as other aspects of patient wellbeing.
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FISCHER, N. O. An Investigational Platform of the Human Brain for Understanding Complex Neural Function. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1572623.

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Rauch, Scott L., William D. Killgore, and Sophie DelDonno. Internet-Based Cognitive Behavioral Therapy Effects on Depressive Cognitive and Brain Function. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada575378.

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Rauch, Scott L., William D. Killgore, and Elizabeth Olson. Internet-Based Cognitive Behavioral Therapy Effects on Depressive Cognitions and Brain Function. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada599071.

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