Zeitschriftenartikel: „Brain capacity“

1

Edwards, Thomas M. „Capacity and the Adolescent Brain“. Psychiatry, Psychology and Law 16, Nr. 3 (November 2009): 427–34. http://dx.doi.org/10.1080/13218710902930333.

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2

Rogers, Lesley J. „Brain Lateralization and Cognitive Capacity“. Animals 11, Nr. 7 (03.07.2021): 1996. http://dx.doi.org/10.3390/ani11071996.

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One way to increase cognitive capacity is to avoid duplication of functions on the left and right sides of the brain. There is a convincing body of evidence showing that such asymmetry, or lateralization, occurs in a wide range of both vertebrate and invertebrate species. Each hemisphere of the brain can attend to different types of stimuli or to different aspects of the same stimulus and each hemisphere analyses information using different neural processes. A brain can engage in more than one task at the same time, as in monitoring for predators (right hemisphere) while searching for food (left hemisphere). Increased cognitive capacity is achieved if individuals are lateralized in one direction or the other. The advantages and disadvantages of individual lateralization are discussed. This paper argues that directional, or population-level, lateralization, which occurs when most individuals in a species have the same direction of lateralization, provides no additional increase in cognitive capacity compared to individual lateralization although directional lateralization is advantageous in social interactions. Strength of lateralization is considered, including the disadvantage of being very strongly lateralized. The role of brain commissures is also discussed with consideration of cognitive capacity.

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3

Ramsey, N. F. „Neurophysiological factors in human information processing capacity“. Brain 127, Nr. 3 (07.11.2003): 517–25. http://dx.doi.org/10.1093/brain/awh060.

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4

Malhotra, P. „Spatial working memory capacity in unilateral neglect“. Brain 128, Nr. 2 (22.12.2004): 424–35. http://dx.doi.org/10.1093/brain/awh372.

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5

Chertok, V., und A. Chertok. „Regulatory capacity of the brain capillaries“. Pacific Medical Journal 64, Nr. 2 (Juni 2016): 72–81. http://dx.doi.org/10.17238/pmj1609-1175.2016.2.72-81.

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6

Rodriguez, A., und R. Granger. „The grammar of mammalian brain capacity“. Theoretical Computer Science 633 (Juni 2016): 100–111. http://dx.doi.org/10.1016/j.tcs.2016.03.021.

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7

Bulhões da Silva Costa, Thiago, Luisa Fernanda Suarez Uribe, Sarah Negreiros de Carvalho, Diogo Coutinho Soriano, Gabriela Castellano, Ricardo Suyama, Romis Attux und Cristiano Panazio. „Channel capacity in brain–computer interfaces“. Journal of Neural Engineering 17, Nr. 1 (18.02.2020): 016060. http://dx.doi.org/10.1088/1741-2552/ab6cb7.

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8

McHenry, Monica A. „Vital capacity following traumatic brain injury“. Brain Injury 15, Nr. 8 (Januar 2001): 741–45. http://dx.doi.org/10.1080/02699050010013932.

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9

Semenov, Mikhail. „Proliferative Capacity of Adult Mouse Brain“. International Journal of Molecular Sciences 22, Nr. 7 (26.03.2021): 3449. http://dx.doi.org/10.3390/ijms22073449.

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We studied cell proliferation in the postnatal mouse brain between the ages of 2 and 30 months and identified four compartments with different densities of proliferating cells. The first identified compartment corresponds to the postnatal pallial neurogenic (PPN) zone in the telencephalon; the second to the subpallial postnatal neurogenic (SPPN) zone in the telencephalon; the third to the white matter bundles in the telencephalon; and the fourth to all brain parts outside of the other three compartments. We estimated that about 3.4 million new cells, including 0.8 million in the subgranular zone (SGZ) in the hippocampus, are produced in the PPN zone. About 21 million new cells, including 10 million in the subependymal zone (SEZ) in the lateral walls of the lateral ventricle and 2.7 million in the rostral migratory stream (RMS), are produced in the SPPN zone. The third and fourth compartments together produced about 31 million new cells. The analysis of cell proliferation in neurogenic zones shows that postnatal neurogenesis is the direct continuation of developmental neurogenesis in the telencephalon and that adult neurogenesis has characteristics of the late developmental process. As a developmental process, adult neurogenesis supports only compensatory regeneration, which is very inefficient.

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Nikishkova, Iryna. „The reserve of brain: structure, modulators, capacity“. Ukrains'kyi Visnyk Psykhonevrolohii, Volume 29, issue 2 (107) (15.07.2021): 57–62. http://dx.doi.org/10.36927/2079-0325-v29-is2-2021-10.

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The article presents a review of literature sources on empiric evidence of the hypothesis of the reserve of brain. Researches of structure peculiarities, mechanisms of functioning, and changes in the reserve of brain allow us to explain why some persons have been operating more effectively during their ageing, as compared with their peers, and why some patients are possible to cope with a higher number of brain pathological changes without cognitive of functional declines, as compared with other patients who have the same brain pathologies. During recent years, a sufficient amount of evidence has been received to support an ability of brain and cognitive reserves to influence on the brain ageing, clinical progress, course of treatment, effectiveness of rehabilitation, levels of recovery, and outcomes in neurodegenerative pathologies, acute conditions (brain stroke, brain injury), mental health disorders. The consideration of individual brain differences, which promote coping with and compensation of pathological changes, can enable to predict and timely diagnose an onset of the cognitive decline, to improve results of rehabilitation and prevention of cognitive impairments and dementia by means of proxy-variables of the life experience.

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MITSUMOTO, HIROSHI, IRVINE G. McQUARRIE, KOZO KURAHASHI und NOBUHIKO SUNOHARA. „HISTOMETRIC CHARACTERISTICS AND REGENERATIVE CAPACITY IN WOBBLER MOUSE MOTOR NEURON DISEASE“. Brain 113, Nr. 2 (1990): 497–507. http://dx.doi.org/10.1093/brain/113.2.497.

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12

Saionz, Elizabeth L., Duje Tadin, Michael D. Melnick und Krystel R. Huxlin. „Functional preservation and enhanced capacity for visual restoration in subacute occipital stroke“. Brain 143, Nr. 6 (18.05.2020): 1857–72. http://dx.doi.org/10.1093/brain/awaa128.

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Abstract Stroke damage to the primary visual cortex (V1) causes a loss of vision known as hemianopia or cortically-induced blindness. While perimetric visual field improvements can occur spontaneously in the first few months post-stroke, by 6 months post-stroke, the deficit is considered chronic and permanent. Despite evidence from sensorimotor stroke showing that early injury responses heighten neuroplastic potential, to date, visual rehabilitation research has focused on patients with chronic cortically-induced blindness. Consequently, little is known about the functional properties of the post-stroke visual system in the subacute period, nor do we know if these properties can be harnessed to enhance visual recovery. Here, for the first time, we show that ‘conscious’ visual discrimination abilities are often preserved inside subacute, perimetrically-defined blind fields, but they disappear by ∼6 months post-stroke. Complementing this discovery, we now show that training initiated subacutely can recover global motion discrimination and integration, as well as luminance detection perimetry, just as it does in chronic cortically-induced blindness. However, subacute recovery was attained six times faster; it also generalized to deeper, untrained regions of the blind field, and to other (untrained) aspects of motion perception, preventing their degradation upon reaching the chronic period. In contrast, untrained subacutes exhibited spontaneous improvements in luminance detection perimetry, but spontaneous recovery of motion discriminations was never observed. Thus, in cortically-induced blindness, the early post-stroke period appears characterized by gradual—rather than sudden—loss of visual processing. Subacute training stops this degradation, and is far more efficient at eliciting recovery than identical training in the chronic period. Finally, spontaneous visual improvements in subacutes were restricted to luminance detection; discrimination abilities only recovered following deliberate training. Our findings suggest that after V1 damage, rather than waiting for vision to stabilize, early training interventions may be key to maximize the system’s potential for recovery.

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Hasegawa, Hiroshi, und Stephen S. Cheung. „Hyperthermia effects on brain function and exercise capacity“. Journal of Physical Fitness and Sports Medicine 2, Nr. 4 (2013): 429–38. http://dx.doi.org/10.7600/jpfsm.2.429.

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14

Kim, S. Y. H., und D. C. Marson. „Assessing decisional capacity in patients with brain tumors“. Neurology 83, Nr. 6 (02.07.2014): 482–83. http://dx.doi.org/10.1212/wnl.0000000000000661.

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15

Ortoleva, Claudia, Camille Brugger, Martial Van der Linden und Bernhard Walder. „Prediction of Driving Capacity After Traumatic Brain Injury“. Journal of Head Trauma Rehabilitation 27, Nr. 4 (2012): 302–13. http://dx.doi.org/10.1097/htr.0b013e3182236299.

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16

Boddaert, Nathalie, Catherine Barthélémy, Jean-Baptiste Poline, Yves Samson, Francis Brunelle und Mônica Zilbovicius. „Autism: Functional brain mapping of exceptional calendar capacity“. British Journal of Psychiatry 187, Nr. 1 (Juli 2005): 83–86. http://dx.doi.org/10.1192/bjp.187.1.83.

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Background‘Autistic savants' are individuals with autism who have extraordinary skills. Brain mechanisms underlying such capacities are still unknown.AimsTo map the exceptional calendar capacity of a man with primary autism.MethodPositron emission tomography was used to map brain activity in a man who is able to associate a day of the week with the corresponding calendar date.ResultsDuring the calendar task, the left hippocampus, the left frontal cortex and the left middle temporal lobe were activated.ConclusionsThe cerebral circuit involved in this man's prodigious calendar skill is similar to that normally involved in memory retrieval tasks. These results suggest that the prodigious capacities may be sustained by memory processing.

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Eyler, Lisa T., Ryan K. Olsen, Gauri V. Nayak, Heline Mirzakhanian, Gregory G. Brown und Dilip V. Jeste. „Brain Response Correlates of Decisional Capacity in Schizophrenia“. Journal of Neuropsychiatry and Clinical Neurosciences 19, Nr. 2 (April 2007): 137–44. http://dx.doi.org/10.1176/jnp.2007.19.2.137.

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18

Marois, René, und Jason Ivanoff. „Capacity limits of information processing in the brain“. Trends in Cognitive Sciences 9, Nr. 6 (Juni 2005): 296–305. http://dx.doi.org/10.1016/j.tics.2005.04.010.

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19

Lim, Pitt O., Peter T. Donnan, Allan D. Struthers und Thomas M. MacDonald. „Exercise Capacity and Brain Natruiretic Peptide in Hypertension“. Journal of Cardiovascular Pharmacology 40, Nr. 4 (Oktober 2002): 519–27. http://dx.doi.org/10.1097/00005344-200210000-00004.

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20

Berghmans, Ron. „Deep Brain Stimulation, Emotions, and Decision-Making Capacity“. AJOB Neuroscience 2, Nr. 1 (13.01.2011): 22–24. http://dx.doi.org/10.1080/21507740.2010.536516.

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21

Bertelsen, Rasmus Gjedssø, Xiangyun Du und Morten Karnøe Søndergaard. „Sino-Danish brain circulation: scholarship, capacity and policy“. International Journal of Business and Globalisation 12, Nr. 2 (2014): 142. http://dx.doi.org/10.1504/ijbg.2014.059459.

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22

De Neys, Wim, und Niki Verschueren. „Working Memory Capacity and a Notorious Brain Teaser“. Experimental Psychology 53, Nr. 2 (Januar 2006): 123–31. http://dx.doi.org/10.1027/1618-3169.53.1.123.

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Abstract. The Monty Hall Dilemma (MHD) is an intriguing example of the discrepancy between people’s intuitions and normative reasoning. This study examines whether the notorious difficulty of the MHD is associated with limitations in working memory resources. Experiment 1 and 2 examined the link between MHD reasoning and working memory capacity. Experiment 3 tested the role of working memory experimentally by burdening the executive resources with a secondary task. Results showed that participants who solved the MHD correctly had a significantly higher working memory capacity than erroneous responders. Correct responding also decreased under secondary task load. Findings indicate that working memory capacity plays a key role in overcoming salient intuitions and selecting the correct switching response during MHD reasoning.

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23

Selin, Alexey A., Natalia V. Lobysheva, Yaroslav R. Nartsissov und Lev S. Yaguzhinsky. „Glycine regulates calcium capacity of isolated brain mitochondria“. Biochimica et Biophysica Acta (BBA) - Bioenergetics 1797 (Juli 2010): 81–82. http://dx.doi.org/10.1016/j.bbabio.2010.04.246.

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24

Smith, Karen, und Mikhail V. Semenov. „P3-349: REGENERATIVE CAPACITY OF ADULT MOUSE BRAIN“. Alzheimer's & Dementia 14, Nr. 7S_Part_23 (01.07.2006): P1218. http://dx.doi.org/10.1016/j.jalz.2018.06.1710.

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25

Perneczky, Robert, Janine Diehl-Schmid, Alexander Drzezga und Alexander Kurz. „P4-111: Brain reserve capacity in frontotemporal dementia“. Alzheimer's & Dementia 2 (Juli 2006): S547—S548. http://dx.doi.org/10.1016/j.jalz.2006.05.1850.

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26

Hetz, Claudio. „Adapting the proteostasis capacity to sustain brain healthspan“. Cell 184, Nr. 6 (März 2021): 1545–60. http://dx.doi.org/10.1016/j.cell.2021.02.007.

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27

Jeppesen, T. D., M. Schwartz, D. B. Olsen, F. Wibrand, T. Krag, M. Duno, S. Hauerslev und J. Vissing. „Aerobic training is safe and improves exercise capacity in patients with mitochondrial myopathy“. Brain 129, Nr. 12 (09.06.2006): 3402–12. http://dx.doi.org/10.1093/brain/awl149.

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van den Berge, Simone A., Miriam E. van Strien, Joanna A. Korecka, Anke A. Dijkstra, Jacqueline A. Sluijs, Lieneke Kooijman, Ruben Eggers et al. „The proliferative capacity of the subventricular zone is maintained in the parkinsonian brain“. Brain 134, Nr. 11 (November 2011): 3249–63. http://dx.doi.org/10.1093/brain/awr256.

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29

Landauer, Thomas K. „Language enabled by Baldwinian evolution of memory capacity“. Behavioral and Brain Sciences 31, Nr. 5 (Oktober 2008): 526–27. http://dx.doi.org/10.1017/s0140525x08005177.

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AbstractThe claim that language is shaped by the brain is weakened by lack of clear specification of what necessary and sufficient properties the brain actually imposes. To account for human intellectual superiority, it is proposed that language did require special brain evolution (Deacon 1997), but that what evolved was a merely quantitative change – in representation space – rather than a radically new invention.

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Harris, Lachlan, Oressia Zalucki, Michael Piper und Julian Ik-Tsen Heng. „Insights into the Biology and Therapeutic Applications of Neural Stem Cells“. Stem Cells International 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/9745315.

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The cerebral cortex is essential for our higher cognitive functions and emotional reasoning. Arguably, this brain structure is the distinguishing feature of our species, and yet our remarkable cognitive capacity has seemingly come at a cost to the regenerative capacity of the human brain. Indeed, the capacity for regeneration and neurogenesis of the brains of vertebrates has declined over the course of evolution, from fish to rodents to primates. Nevertheless, recent evidence supporting the existence of neural stem cells (NSCs) in the adult human brain raises new questions about the biological significance of adult neurogenesis in relation to ageing and the possibility that such endogenous sources of NSCs might provide therapeutic options for the treatment of brain injury and disease. Here, we highlight recent insights and perspectives on NSCs within both the developing and adult cerebral cortex. Our review of NSCs during development focuses upon the diversity and therapeutic potential of these cells for use in cellular transplantation and in the modeling of neurodevelopmental disorders. Finally, we describe the cellular and molecular characteristics of NSCs within the adult brain and strategies to harness the therapeutic potential of these cell populations in the treatment of brain injury and disease.

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Toyota, Yasunori, Hajime Shishido, Fenghui Ye, Lauren G. Koch, Steven L. Britton, Hugh J. L. Garton, Richard F. Keep, Guohua Xi und Ya Hua. „Hydrocephalus Following Experimental Subarachnoid Hemorrhage in Rats with Different Aerobic Capacity“. International Journal of Molecular Sciences 22, Nr. 9 (26.04.2021): 4489. http://dx.doi.org/10.3390/ijms22094489.

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Low aerobic capacity is considered to be a risk factor for stroke, while the mechanisms underlying the phenomenon are still unclear. The current study looked into the impacts of different aerobic capacities on early brain injury in a subarachnoid hemorrhage (SAH) model using rats bred for high and low aerobic capacity (high-capacity runners, HCR; low-capacity runners, LCR). SAH was modeled with endovascular perforation in HCR and LCR rats. Twenty-four hours after SAH, the rats underwent behavioral testing and MRI, and were then euthanized. The brains were used to investigate ventricular wall damage, blood–brain barrier breakdown, oxidative stress, and hemoglobin scavenging. The LCR rats had worse SAH grades (p < 0.01), ventricular dilatation (p < 0.01), ventricular wall damage (p < 0.01), and behavioral scores (p < 0.01). The periventricular expression of HO-1 and CD163 was significantly increased in LCR rats (p < 0.01 each). CD163-positive cells were co-localized with HO-1-positive cells. The LCR rats had greater early brain injuries than HCR rats. The LCR rats had more serious SAH and extensive ventricular wall damage that evolved more frequently into hydrocephalus. This may reflect changes in iron handling and neuroinflammation.

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Avram, Mihai, Felix Brandl, Jorge Cabello, Claudia Leucht, Martin Scherr, Mona Mustafa, Stefan Leucht, Sibylle Ziegler und Christian Sorg. „Reduced striatal dopamine synthesis capacity in patients with schizophrenia during remission of positive symptoms“. Brain 142, Nr. 6 (26.04.2019): 1813–26. http://dx.doi.org/10.1093/brain/awz093.

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Eayrs, Joshua, und Nilli Lavie. „Distinct correlates of perceptual capacity and working memory capacity in brain structure and behaviour“. Journal of Vision 18, Nr. 10 (01.09.2018): 1118. http://dx.doi.org/10.1167/18.10.1118.

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34

Aboitiz, Francisco. „What determines evolutionary brain growth?“ Behavioral and Brain Sciences 24, Nr. 2 (April 2001): 278–79. http://dx.doi.org/10.1017/s0140525x01223954.

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Finlay et al. address the importance of developmental constraints in brain size evolution. I discuss some aspects of this view such as the relation of brain size with processing capacity. In particular, I argue that in human evolution there must have been specific selection for increased processing capacity, and as a consequence for increased brain size.

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Ballinger, Mallory A., Christine Schwartz und Matthew T. Andrews. „Enhanced oxidative capacity of ground squirrel brain mitochondria during hibernation“. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 312, Nr. 3 (01.03.2017): R301—R310. http://dx.doi.org/10.1152/ajpregu.00314.2016.

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During hibernation, thirteen-lined ground squirrels ( Ictidomys tridecemlineatus) regularly cycle between bouts of torpor and interbout arousal (IBA). Most of the brain is electrically quiescent during torpor but regains activity quickly upon arousal to IBA, resulting in extreme oscillations in energy demand during hibernation. We predicted increased functional capacity of brain mitochondria during hibernation compared with spring to accommodate the variable energy demands of hibernation. To address this hypothesis, we examined mitochondrial bioenergetics in the ground squirrel brain across three time points: spring (SP), torpor (TOR), and IBA. Respiration rates of isolated brain mitochondria through complex I of the electron transport chain were more than twofold higher in TOR and IBA than in SP ( P < 0.05). We also found a 10% increase in membrane potential between hibernation and spring ( P < 0.05), and that proton leak was lower in TOR and IBA than in SP. Finally, there was a 30% increase in calcium loading in SP brain mitochondria compared with TOR and IBA ( P < 0.01). To analyze brain mitochondrial abundance between spring and hibernation, we measured the ratio of copy number in a mitochondrial gene ( ND1) vs. a nuclear gene ( B2M) in frozen cerebral cortex samples. No significant differences were observed in DNA copies between SP and IBA. These data show that brain mitochondrial bioenergetics are not static across the year and suggest that brain mitochondria function more effectively during the hibernation season, allowing for rapid production of energy to meet demand when extreme physiological changes are occurring.

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Miller, Earl K., und Timothy J. Buschman. „Working Memory Capacity: Limits on the Bandwidth of Cognition“. Daedalus 144, Nr. 1 (Januar 2015): 112–22. http://dx.doi.org/10.1162/daed_a_00320.

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Why can your brain store a lifetime of experiences but process only a few thoughts at once? In this article we discuss “cognitive capacity” (the number of items that can be held “in mind” simultaneously) and suggest that the limit is inherent to processing based on oscillatory brain rhythms, or “brain waves,” which may regulate neural communication. Neurons that “hum” together temporarily “wire” together, allowing the brain to form and re-form networks on the fly, which may explain a hallmark of intelligence and cognition: mental flexibility. But this comes at a cost; only a small number of thoughts can fit into each wave. This explains why you should never talk on a mobile phone when driving.

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Fan, Jun-Yu, Catherine Kirkness, Paolo Vicini, Robert Burr und Pamela Mitchell. „Intracranial Pressure Waveform Morphology and Intracranial Adaptive Capacity“. American Journal of Critical Care 17, Nr. 6 (01.11.2008): 545–54. http://dx.doi.org/10.4037/ajcc2008.17.6.545.

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Background Intracranial hypertension due to primary and secondary injuries is a prime concern when providing care to patients with severe traumatic brain injury. Increases in intracranial pressure vary depending on compensatory processes within the craniospinal space, also referred to as intracranial adaptive capacity. In patients with traumatic brain injury and decreased intracranial adaptive capacity, intracranial pressure increases disproportionately in response to a variety of stimuli. However, no well-validated measures are available in clinical practice to predict the development of such an increase. Objectives To examine whether P2 elevation, quantified by determining the P2:P1 ratio (=0.8) of the intracranial pressure pulse waveform, is a unique predictor of disproportionate increases in intracranial pressure on a beat-by-beat basis in the 30 minutes preceding the elevation in patients with severe traumatic brain injury, within 48 hours after deployment of an intracranial pressure monitor. Methods A total of 38 patients with severe traumatic brain injury were sampled from a randomized controlled trial of cerebral perfusion pressure management in patients with traumatic brain injury or subarachnoid hemorrhage. Results The P2 elevation was not only present before the disproportionate increase in pressure, but also appeared in the comparison data set (within-subject without such a pressure increase). Conclusions P2 elevation is not a reliable clinical indicator to predict an impending disproportionate increase in intracranial pressure.

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Marasco, P. D., A. E. Schultz und T. A. Kuiken. „Sensory capacity of reinnervated skin after redirection of amputated upper limb nerves to the chest“. Brain 132, Nr. 6 (15.04.2009): 1441–48. http://dx.doi.org/10.1093/brain/awp082.

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Bornkessel, Ina D., Christian J. Fiebach, Angela D. Friederici und Matthias Schlesewsky. „“Capacity” Reconsidered:“. Experimental Psychology 51, Nr. 4 (Januar 2004): 279–89. http://dx.doi.org/10.1027/1618-3169.51.4.279.

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Abstract. The influence of interindividual differences in cognitive mechanisms on language comprehension remains controversial not only due to conflicting experimental findings, but also in view of the difficulty associated with determining which measure should be used in participant classification. Here, we address the latter problem by proposing that an electrophysiological measure, individual alpha frequency (IAF), may be a suitable means of classifying interindividual differences in sentence processing. Interindividual differences in IAF have been shown to correlate with performance on memory tasks and speed of information processing. In two experiments using event-related brain potentials (ERPs), IAF-based participant groups differed systematically with regard to the processing of ambiguous sentences such that the low-IAF group showed a sustained positivity in the ambiguous region, while the high-IAF group did not. These interindividual differences were independent of whether the ambiguity was syntactic (Experiment 1) or sentence-level semantic (Experiment 2). Moreover, they were reliable only when participants were classified according to IAF, but not in classifications based on reading span, speed of processing (reaction time), or accuracy of processing (error rate).

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Marson, D. „Assessing financial capacity in patients with traumatic brain injury“. Archives of Clinical Neuropsychology 15, Nr. 8 (November 2000): 828–29. http://dx.doi.org/10.1016/s0887-6177(00)80323-6.

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Marson, D., A. Hethcox, M. Shawaryn und T. Novack. „Assessing financial capacity in patients with traumatic brain injury“. Archives of Clinical Neuropsychology 15, Nr. 8 (01.11.2000): 828–29. http://dx.doi.org/10.1093/arclin/15.8.828.

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Martin, Roy C., Kristen Triebel, Laura E. Dreer, Thomas A. Novack, Crystal Turner und Daniel C. Marson. „Neurocognitive Predictors of Financial Capacity in Traumatic Brain Injury“. Journal of Head Trauma Rehabilitation 27, Nr. 6 (2012): E81—E90. http://dx.doi.org/10.1097/htr.0b013e318273de49.

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Hovda, David A. „Oxidative need and oxidative capacity following traumatic brain injury*“. Critical Care Medicine 35, Nr. 2 (Februar 2007): 663–64. http://dx.doi.org/10.1097/01.ccm.0000254442.66789.52.

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44

Choi, Joungil, Krish Chandrasekaran, Tyler G. Demarest, Tibor Kristian, Su Xu, Kadambari Vijaykumar, Kevin Geoffrey Dsouza et al. „Brain diabetic neurodegeneration segregates with low intrinsic aerobic capacity“. Annals of Clinical and Translational Neurology 1, Nr. 8 (August 2014): 589–604. http://dx.doi.org/10.1002/acn3.86.

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Raichlen, David A., und Adam D. Gordon. „Relationship between Exercise Capacity and Brain Size in Mammals“. PLoS ONE 6, Nr. 6 (22.06.2011): e20601. http://dx.doi.org/10.1371/journal.pone.0020601.

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Sauseng, Paul, Wolfgang Klimesch, Kirstin F. Heise, Walter R. Gruber, Elisa Holz, Ahmed A. Karim, Mark Glennon, Christian Gerloff, Niels Birbaumer und Friedhelm C. Hummel. „Brain Oscillatory Substrates of Visual Short-Term Memory Capacity“. Current Biology 19, Nr. 21 (November 2009): 1846–52. http://dx.doi.org/10.1016/j.cub.2009.08.062.

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van den Heuvel, M. P., R. S. Kahn, J. Goni und O. Sporns. „High-cost, high-capacity backbone for global brain communication“. Proceedings of the National Academy of Sciences 109, Nr. 28 (18.06.2012): 11372–77. http://dx.doi.org/10.1073/pnas.1203593109.

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VITIELLO, GIUSEPPE. „DISSIPATION AND MEMORY CAPACITY IN THE QUANTUM BRAIN MODEL“. International Journal of Modern Physics B 09, Nr. 08 (10.04.1995): 973–89. http://dx.doi.org/10.1142/s0217979295000380.

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The quantum model of the brain proposed by Ricciardi and Umezawa is extended to dissipative dynamics in order to study the problem of memory capacity. It is shown that infinitely many vacua are accessible to memory printing in a way that in sequential information recording the storage of a new information does not destroy the previously stored ones, thus allowing a huge memory capacity. The mechanism of information printing is shown to induce breakdown of time-reversal symmetry. Thermal properties of the memory states, as well as their relation with squeezed coherent states, are finally discussed.

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Smith, Karen, und Mikhail V. Semenov. „IC-P-130: REGENERATIVE CAPACITY OF ADULT MOUSE BRAIN“. Alzheimer's & Dementia 14, Nr. 7S_Part_2 (01.07.2006): P108. http://dx.doi.org/10.1016/j.jalz.2018.06.2196.

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Frizzo, Marcos Emílio, Fábio Duarte Schwalm, Juliana Karl Frizzo, Félix Antunes Soares und Diogo Onofre Souza. „Guanosine Enhances Glutamate Transport Capacity in Brain Cortical Slices“. Cellular and Molecular Neurobiology 25, Nr. 5 (August 2005): 913–21. http://dx.doi.org/10.1007/s10571-005-4939-5.

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