Review

The 21st Century Cerebellum: An Evolution of Cognitive Functions, Connections, Disorders, and Pharmacotherapeutic Modulation

  • Our understanding of the cerebellum’s role in health and disease has evolved considerably in the past few decades; largely due to the availability of newer and better modalities for studying the relationships between the cerebellum and other segments of the brain, and how these impact behavioural responses like motor function, emotionality, memory and more recently, cognition. In this review, we discuss the evolution of our understanding of the structure and function of the cerebellum; where we were, and how we got here. We also examine the important roles of the cerebellum in neuro-cognitive processing, cognition and cognitive disorders; and ponder on how targeting cerebellar cognition may open a new chapter in the quest for the development and identification of newer cognition-modulating agents.

    Citation: O. J. Onaolapo, A. Y. Onaolapo. The 21st Century Cerebellum: An Evolution of Cognitive Functions, Connections, Disorders, and Pharmacotherapeutic Modulation[J]. AIMS Neuroscience, 2017, 4(4): 189-222. doi: 10.3934/Neuroscience.2017.4.189

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  • Our understanding of the cerebellum’s role in health and disease has evolved considerably in the past few decades; largely due to the availability of newer and better modalities for studying the relationships between the cerebellum and other segments of the brain, and how these impact behavioural responses like motor function, emotionality, memory and more recently, cognition. In this review, we discuss the evolution of our understanding of the structure and function of the cerebellum; where we were, and how we got here. We also examine the important roles of the cerebellum in neuro-cognitive processing, cognition and cognitive disorders; and ponder on how targeting cerebellar cognition may open a new chapter in the quest for the development and identification of newer cognition-modulating agents.



    Protection of agricultural machinery from corrosion and wear is an important and complex task, requiring large expenditures of material resources both in the manufacture of machines and the period of their operation, storage, and repair [1,2]. Machines for mineral fertilizer application are the most subject to corrosion and wear [3]. This is explained by specific working conditions in which machine parts are in contact with mineral fertilizers and abrasive soil particles that cause corrosion and wear of metal.

    Today the market of agricultural machinery offers a sufficient number of various machines for mineral fertilizer application. Among them, the most promising are the systems for liquid mineral fertilizer application using rotary point injectors, which place fertilizer more optimally [4,5,6,7]. These systems use spikes attached to a rotating wheel to inject liquid fertilizer into the soil at precise intervals and depths with minimal root damage and soil disturbance. Root zone fertilizer application systems improve nutrient use efficiency and increase crop yields [8].

    One of the problems preventing the widespread use of units for spot application of liquid fertilizers into the soil is the frequent replacement of needle (nozzle) wheels on this device due to the destruction of its working surface from corrosive wear. Usually, the needle wheels of the unit for spot application of liquid fertilizers are made of stainless steel, titanium alloy, and stainless steel with tungsten carbide tips [9,10,11]. Needle wheels made of stainless steel with tungsten carbide tips and titanium alloy will be relatively long lasting. However, they are expensive. Because of the relatively low cost of stainless-steel needles, domestic agricultural enterprises widely use needles made of 12Kh18N10T stainless steel [12]. However, 12Kh18Н10Т stainless steel is highly susceptible to wear due to the influence of aggressive composition of fertilizers and abrasive soil particles.

    Resisting wear on parts mainly requires surface treatment. Today, electrolyte plasma surface hardening (EPSH) can be considered one of the most promising and relevant surface treatment technologies. This method has been proven to improve the desired physical and mechanical properties in a much shorter time (a few seconds) compared to traditional heat treatment processes, which can take from several hours to several days [13].

    In our previous works [14,15], a comparative study of the effect of volumetric and surface heat treatment on the structural phase state of medium carbon steels was carried out. Surface hardening was carried out by the electrolyte plasma method. Bulk quenching was carried out by heating to 900 ℃ followed by cooling in water and oil, and some quenched samples were annealed at 510 ℃. The results showed that surface quenching by electrolytic plasma increased the microhardness by two times due to the formation of fine-needle martensite. This proves that the electrolyte plasma quenching method can be considered as an alternative to the conventional furnace heating and cooling method.

    The authors in [16] presented the results of electrolytic plasma heat treatment of AISI1040 steel. The results show that the hardness of AISI1040 steel is about 250 HV0.2 and the hardness after surface heat treatment is about 1000–1050 HV0.2. The treated samples show better wear resistance. The overlapped zone is a tempering zone and consists of sorbitite and tempered martensite. The hardness of sorbitite is much lower than that of martensite. Thus, the wear resistance of AISI1040 samples is reduced. Based on this, the results obtained by these authors also confirm that EPSH improves the physical and mechanical properties and positively affects the service life under service conditions [17,18,19].

    In order to improve mechanical properties, it is recommended to develop an EPSH regime based on the application of cyclic thermal effects. The obtained hardening structures have high hardness, wear resistance, and crack resistance. Therefore, we studied the influence of electrolyte-plasma hardening on tribological and mechanical properties of hollow needles of 12Kh18N10T steel applicator for liquid fertilizer application.

    As a material of the study for electrolyte-plasma surface hardening (EPSH), 4 samples from 12Kh18N10T steel were taken. EPSH of steel was carried out in the cathodic regime at the electrolyte-plasma treatment unit [20,21]. The power source was a powerful rectifier giving a maximum output value of 360 V/100 A in the form of direct current [22,23]. A sodium carbonate (Na2CO3) solution was used as the heating and cooling source. The composition of the electrolyte is 80 wt.% distilled water and 20 wt.% Na2CO3. The voltage value (V) and treatment time (s) were different for each specimen. The samples were hardened at voltages of 320,300 V, in sequence. To determine the optimal quenching regimen, a series of experiments were conducted. Each of the four samples utilized a homogeneous electrolyte composition. Parameters such as voltage, quenching duration, and cooling were varied. The sample processing modes are shown in Table 1.

    Table 1.  Regimes of 12Kh18N10Т steel samples for EPSH.
    No. Regimes Electrolyte Voltage (V) Current (A) Time (s)
    1 Sample No.1 20 wt.% Na2CO3
    80 wt.% distilled water
    320 75 2 s heating–cooling
    2 Sample No.2 320
    300
    80 2 s heating–7 s cooling
    3 Sample No.3 320
    300
    300
    80 2 s heating–7 s cooling
    4 Sample No.4 320 75 2 s heating–7 s cooling

     | Show Table
    DownLoad: CSV

    The first sample underwent quenching for 2 s at a voltage of 320 V, followed by cooling with electrolyte to room temperature. The second sample underwent cyclic treatment: initial quenching for 2 s at 320 V, followed by a 7s pause. In the second cycle, treatment was carried out for 2 s at a voltage of 300 V, followed by cooling in the electrolyte to room temperature. The third sample also underwent cyclic treatment: initial quenching for 2 s at 320 V, followed by a 7s pause. In the second cycle, treatment was carried out for 2 s at a voltage of 300 V, followed by another 7s pause. In the third cycle, treatment was carried out for 2 s at a voltage of 300 V, followed by cooling in the electrolyte to room temperature. The fourth sample underwent quenching for 2 s at a voltage of 320 V, followed by cooling in the electrolyte for 7 s, after which the supply of electrolyte was interrupted.

    According to the results of sample tests, the most effective and successful is regime 3. Therefore, regime 3 was chosen for further processing. To ensure uniformity of the hardening process, the part was rotated clockwise during the whole procedural cycle. To reveal the influence of the sample rotation speed on the uniform surface hardening, an experiment was conducted for three applicators with rotation speeds of 4, 6, and 8 rpm. The regimes for the EPSH liquid fertilizer applicator are shown in Table 2.

    Table 2.  Sample regimes for EPSH needle applicator for liquid fertilizer application.
    No. Regimes Electrolyte Voltage (V) Current (A) Time (s) Sample rotation speed, rpm
    1 Sample No.1 20 wt.% Na2CO3
    80 wt.% distilled water
    320
    300
    300
    80 2 s heating–7 s cooling 4
    2 Sample No.2 2 s heating–7 s cooling 6
    3 Sample No.3 2 s heating –7 s cooling 8

     | Show Table
    DownLoad: CSV

    X-ray phase analysis was performed on the Xpert PRO PANalytical instrument. During the study, a voltage of 40 kV and a current of 30 mA, Cu-Kα radiation (λ = 1.541 Å) was applied to the anode copper tube in the range from 10 to 90°, the imaging step was 0.02, and the counting time was 0.5 s/step. Phase analysis from the obtained diffractogram lines was performed using the additional software package HighScore Plus and Mach 3. Sample preparation, selection of imaging regimes, and calculation of diffractograms were carried out according to the methods described in [24].

    The wear resistance of the surface hardening was determined as the mass loss per unit time in the process of abrasive wear. The tests were carried out on an abrasion test rig using the method described in [25]. The test conditions were as follows: load 44 N, dwell time 10 min, abrasive material–corundum powder with grain size < 100 μm.

    The friction coefficient was determined on the universal tribometer TRB3 (Anton Paar, Austria) according to the scheme of friction "ball-on-disk" by sliding the samples without lubrication on the steel plane of the counterbody with a linear speed of 0.05 m/s at room temperature 25 ± 1 ℃. The vertical load is 10 N. The counterbody material is 100Cr6. The friction coefficient of the tested materials was determined after passing the friction path (L) equal to 100 m [26]. Wear marks and roughness were investigated using a Mitutoyo profilometer model Surftest 410.

    Hardness and modulus of elasticity were determined using the FISCHERSCOPE HM2000 S measuring system in accordance with the requirements of DIN EN ISO 14577-1. The test results were processed using WIN-HCU software. The Martens hardness (HM) was chosen as a characteristic parameter and calculated according to the following Eq 1 [27]:

    (1)

    where, HM is Martens hardness (N/mm2); F is the test load (N); As is the indenter cross-sectional area, (mm2); and h is the indenter penetration depth (mm). A load of 1000 mN and a dwell time of 20 s were used during the test to determine the hardness. Ten tests were performed for each sample and the values obtained were averaged to obtain the final value.

    The microhardness of the samples was determined on a Metolab 502 instrument according to the Vickers hardness (HV) method [18]. The measurement parameters were as follows: load 20 g, dwell time 10 s. Microhardness is calculated by the Eq 2:

    (2)

    where, HV is Vickers hardness (kgf/mm2); P is the applied load (kgf); d is the average diagonal of the indenter (mm).

    The method of measuring microhardness and Young's modulus (Figure 1) consists in selecting the parameters of the step function describing the experimental dependence of the indentation depth and contact area on the applied force and calculating the hardness and modulus of elasticity using these data according to [28]. Figure 1 and Table 3 show the results of these studies.

    Figure 1.  P-h-diagrams–curves of normal force dependence on indenter penetration depth for 12Kh18N10T steel samples: (a) initial sample, (b) No.1, (c) No.2, (d) No.3, (e) No.4–samples after EPSH.
    Table 3.  Hardness of 2Kh18N10T EPSH steel measured by Fischerscope HM2000 S indentation meter.
    Samples Martens hardness (MPa) Modulus of elasticity (GPa) Hardness (HV)
    initial 2733.3 198.6 325.6
    No. 1 2016.5 174.0 233.4
    No. 2 2173.2 182.1 243.0
    No. 3 2191.0 185.9 254.8
    No. 4 1995.2 189.6 229.1

     | Show Table
    DownLoad: CSV

    The higher hardness of the EPSH samples in this experiment significantly limits the deformation depth of the wear surface, which leads to a significant decrease in friction coefficients in accordance with [29]. As can be seen in Figure 2, comparing the friction coefficient values, it can be said that the lower hardness of the sample surface leads to a more pronounced deformation of the material. The relative error of measurements did not exceed 8%.

    Figure 2.  Abrasive wear of 12Kh18N10T steel samples: No. 1, No. 2, No. 3, No. 4–samples after EPSH, end initial sample.

    Based on the data obtained, the following regularities can be identified. As can be seen in Figure 3a, the initial structure of the sample of steel 12Kh18N10Т is an austenitic (γ) phase. Figure 3b shows the results of X-ray phase analysis of sample No. 3, selected as the hardest sample according to the results of the tests. The X-ray diffractometry analysis showed that after EPSH, the near-surface layer mainly contains austenite (γ-Fe) and ferrite (α-Fe). Austenite has FCC structure, and ferrite has BCC structure. The appearance of new phases can be deduced from the Fe-C state diagram. The presence of austenite phase can be associated with an increase in the temperature of heating for quenching, as there is a complete dissolution of carbide phases and this leads to the stability of residual austenite. According to [30], high cooling rates lead to the formation of ferrite phases in the range of 10%–45% at EPSH.

    Figure 3.  X-ray phase analysis of 12Kh18N10T samples: (a) original sample, (b) sample under regime No.3.

    The microstructure of sample No. 3 after EPSH treatment is shown in Figure 4. As can be seen from the optical micrographs, EPSH gives the steel surface the desired aesthetic appearance. This parameter is evaluated by measuring the surface gloss-reflection compared to a reference (mirror, ρ = 100%) and is expressed in percent. After EPSH, the surface gloss increases from 2% to 60%–65% [31].

    Figure 4.  Structure of sample No.3 after EPSH treatment (a) surface, (b) cross section.

    Intermittent coupling of the electric potential leads to a periodic increase and stabilizes or slows down the growth of the heating rate, which then allows longer time and a thicker heated layer [29]. The thickness of the layer was measured in cross section using an optical microscope, according to which the average thickness of the coating is 885 μm.

    The sliding friction coefficients of the samples under different thermal cycling conditions are shown in Figure 5. The studies show that after EPSH of the sample the coefficient of friction decreases. If the friction coefficient is ~0.8 in the initial state, then it decreases to 0.17 after EPSH. The decrease in the coefficient of friction characterizes the decrease in wear. These data are similar to those obtained in [32], where samples were tested for wear in Ringer's solution. The authors showed that electrolyte-plasma hardening causes a significant decrease in the coefficient of friction. This index is several times lower than for untreated samples.

    Figure 5.  Friction coefficient of 12Kh18N10T steel samples: initial sample end No. 1, No. 2, No. 3, No. 4–samples after EPSH.

    The specified unit of EPSH is a complex system consisting of two fundamental nodes, each of which performs its specific functions (Figure 6). The first node is represented as a direct current (DC) power supply (Figure 6a), which provides the necessary energy supply for the quenching process. The main component of the power supply is a transformer unit, which has the following characteristics: input voltage 380 V ± 5%, output voltage from the transformer to a maximum of 360 V ± 5%, and power of 40 kW. The transformer is controlled by a thyristor unit consisting of six power thyristors of T142-80-12 brand, which are cooled by radiators of O241 brand. The thyristors work in pairs and each one opens its own arm. The six thyristors are controlled by Arduino Atmega 8 microcontroller through homemade pulse transformers. The pulse transformers are signaled through the ULN2003 chip, which consists of a set of transistors. This node regulates and maintains the specified power supply parameters, which is critical to ensure the stability and efficiency of the quenching process.

    Figure 6.  Unit for electrolyte-plasma quenching. (a) Power supply; (b) quench chamber.

    Power supply specifications:

    - Input: alternating current

    - 3 phase voltages: 380~440 V; 50 Hz

    - Output: direct (pulsating) current

    - Voltage (effective): 100–390 B

    - Maximum allowable current: 150 A

    - Control: software

    The second node is the place where the quenching process of unit applicators is directly carried out (Figure 6b). Its design includes specialized elements and fixtures for fastening and positioning the work pieces to be processed during heat treatment. This provides optimal conditions for uniform heating and subsequent hardening of each applicator, which in turn contributes to improving the quality and durability of liquid fertilizer units.

    Technical characteristics of the quenching unit:

    - Input: alternating current

    - Voltage: 220~240 V; 50 Hz

    - Sample rotation speed 0–9 rpm

    - Electrolyte feed rate 0–120 L/min

    - Control: software

    For the applicator hardening process, a fixture based on the MINI-15 welding rotator was specially designed and manufactured, in which the applicators are mounted securely and conveniently (see Figure 7). This fixture is designed to provide optimal conditions during quenching operations, which contributes to the quality of the final product. This device allows to ensure correct positioning of the applicator during the quenching process, which in turn guarantees uniform temperature distribution over the entire surface of each applicator, eliminating the risk of deformation or damage to the material. The applicator is mounted in the fixture in such a way as to ensure that they are securely fastened and that they cannot move or fall during the heat treatment process.

    Figure 7.  Fixture for fixing the needle (applicators for liquid fertilizer application). 1: sample rotator, 2: applicator, 3: electrolytic cell, 4: regulating valve, 5: pump.

    After analyzing the results and comparing them with the characteristics of the needle before treatment, it was concluded that the distribution of microhardness on the surface at 8 rpm was homogeneous and more uniform (Figure 8) and the value of microhardness was about 1.5–2 times higher in HV than the original sample.

    Figure 8.  Microhardness of needles of liquid fertilizer applicators, samples by regimes and initial sample.

    The microhardnesses of samples No.1 and No.2 are uneven and in some points of measurement there is a sharp decrease or increase in hardness. In our opinion, this is due to the rotation turnover; the more revolutions, the less irregularities in the distribution of microhardness on the surface of applicators.

    On average, the microhardness of the modified surface area reached ~650 HV, with a maximum value of 887.13 HV characteristic of the regime of sample No. 3. The surface microhardness of the initial sample amounted to 392.32 HV.

    B. Bordman in his paper [33] presents a table of different hardened steels commonly used for gear manufacturing. He shows, in Rockwell hardness (HRC) units, that the endurance limit of the steel will start to decrease depending on the steel in the range of HRC 40 and above. Therefore, the study of HRC in the range of 20–32 is in agreement with the results of B. Boardman's work.

    In connection with the above studies of EPSH in different regimes of thermocycling, the optimum regime is that of sample No. 3, which has improved structural-phase and mechanical properties in many parameters. It was found that, as a result of EPSH, the phase composition of the surface of the samples is characterized by the presence of austenite (γ-Fe) and ferrite (α-Fe). Heating of the surface under hardening as a result of EPSH led to stability of residual austenite.

    An increase in surface microhardness was observed, with the maximum value reaching 887.13 HV, which corresponds to the regime of sample No. 3. It is revealed that the maximum value of microhardness after EPSH is 2 times higher than the initial value. Also, friction tests revealed that the friction coefficient after EPSH decreased to 0.17, when in the initial state it was ~0.8. This change in friction will contribute to the reduction of wear.

    Experiments aimed at the hardening of applicators of aggregates used for liquid fertilizer application were successfully performed on a specialized electrolyte-plasma surface hardening unit designed and manufactured by the team of authors or scientific group of the laboratory. In order to determine the perspectives of the applicators that came out of the research, a contract was made with an agricultural organization for field trials.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP13068365).

    The authors declare no conflict of interest.

    [1] Buckner RL (2013) The Cerebellum and Cognitive Function: 25 Years of Insight from Anatomy and Neuroimaging. Neuron 80: 807-815.
    [2] Strick PL, Dum RP, Fiez JA (2009) Cerebellum and nonmotor function. Annu Rev Neurosci 32: 413-434.
    [3] Leiner HC (2010) Solving the mystery of the human cerebellum. Neuropsychol Rev 20: 229-235.
    [4] Schmahmann JD (2010) The role of the cerebellum in cognition and emotion: personal reflections since 1982 on the dysmetria of thought hypothesis, and its historical evolution from theory to therapy. Neuropsychol Rev 20: 236-260. doi: 10.1007/s11065-010-9142-x
    [5] Manto M, Haines D (2012) Cerebellar research: two centuries of discoveries. Cerebellum 11: 446-448. doi: 10.1007/s12311-011-0336-4
    [6] Buckner RL, Krienen FM, Castellanos A, et al. (2011) The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 106: 2322-2345. doi: 10.1152/jn.00339.2011
    [7] Sokolov AA, Erb M, Grodd W, et al. (2014) Structural loop between the cerebellum and the superior temporal sulcus: evidence from diffusion tensor imaging. Cereb Cortex 24, :626-32.
    [8] Leiner HC, Leiner AL (1997) How fibers subserve computing capabilities: similarities between brains and machines. Int Rev Neurobiol 41: 535-553.
    [9] Finger S (1994) Origins of neuroscience: A history of explorations into brain function. Oxford and New York, Oxford University Press: 1-480.
    [10] Mayr E (1982) The growth of biological thought: Diversity, evolution, and inheritance. Cambridge: Harvard University Press.
    [11] Larsell O (1970) The comparative anatomy and histology of the cerebellum from monotremes through apes. Minneapolis: University of Minnesota Press.
    [12] Larsell O, Jansen (1972) The comparative anatomy and histology of the cerebellum, Vol. 3. Minneapolis: University of Minnesota Press
    [13] White DD (2005) Size and shape of the cerebellum in catarrhine primates and plio-pleistocene fossil hominins: A paleoneurological analysis of endocranial casts. Ph.D Thesis, Department of Anthropology, College of Arts and Science, University at Albany, State University of New York.
    [14] Clarke E, O'Malley E (1968) The human brain and spinal cord. University of California Press.
    [15] Glickstein M, Yeo C (1990) The cerebellum and Motor learning. J Cognitive Neurosci 2: 206-210.
    [16] Holmes G (1917) The symptoms of acute cerebellar injuries due to gunshot injuries. Brain 40: 461-535. doi: 10.1093/brain/40.4.461
    [17] Glickstein M, Voogd J (1995) Lodewijk Bolk and the comparative anatomy of the cerebellum. Trends Neurosci 18: 206-210. doi: 10.1016/0166-2236(95)93903-B
    [18] Strata P, Scelfo B, Sacchetti B (2011) Involvement of cerebellum in emotional behaviour. Physiol Res 60: S39-S48.
    [19] Ohki M, Kitazawa H, Hiramatsu T, et al. (2009) Role of primate cerebellar hemisphere in voluntary eye movement control revealed by lesion effects. J Neurophysiol 101: 934-947.
    [20] Hiramatsu T, Ohki M, Kitazawa H, et al. (2008) Role of primate cerebellar lobulus petrosus of paraflocculus in smooth pursuit eye movement control revealed by chemical lesion. Neurosci Res 60: 250-258.
    [21] Marr D (1969) A theory of cerebellar cortex. J Physiol 202: 437-470.
    [22] Albus JS (1971) A theory of cerebellar function. Math Biosc 10: 25-61. doi: 10.1016/0025-5564(71)90051-4
    [23] Habas C, Kamdar N, Nguyen D (2009) Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci 29: 8586-8594.
    [24] Krienen FM, Buckner RL (2009) Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb Cortex 19: 2485-2497. doi: 10.1093/cercor/bhp135
    [25] O'Reilly JX, Beckmann CF, Tomassini V, (2010) Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. Cereb Cortex 20: 953-965. doi: 10.1093/cercor/bhp157
    [26] Leiner HC, Leiner AL, Dow RS (1986) Does the cerebellum contribute to mental skills? Behav Neurosci 100: 443-454.
    [27] Schmahmann JD (2004) Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. J Neuropsychiatry Clin Neurosci 16: 367-378.
    [28] Ito M (2006) Cerebellar circuitry as a neuronal machine. Prog Neurobiol 78: 272-303. doi: 10.1016/j.pneurobio.2006.02.006
    [29] Schmahmann JD, Caplan D (2006) Cognition, emotion and the cerebellum. Brain 129: 290-292. doi: 10.1093/brain/awh729
    [30] Stoodley CJ, Schmahmann JD (2009) Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage 44: 489-501. doi: 10.1016/j.neuroimage.2008.08.039
    [31] Holloway RL (1996). Handbook of Human Symbolic Evolution. Lock A, Peters CR eds. Oxford: Clarendon: 74-108.
    [32] Weaver AH (2005) Reciprocal evolution of the cerebellum and neocortex in fossil humans. Proc Natl Acad Sci U S A 102: 3576-3580. doi: 10.1073/pnas.0500692102
    [33] Ramnani N (2006) The primate cortico-cerebellar system: anatomy and function. Nat Rev Neurosci 7: 511-522. doi: 10.1038/nrn1953
    [34] Petersen SE, Fox PT, Posner MI, et al. (1989) Positron emission tomographic studies of the processing of singe words. J Cogn Neurosci 1: 153-170.
    [35] Kim SG, Uğurbil K, Strick PL (1994) Activation of a cerebellar output nucleus during cognitive processing. Science 265: 949-951. doi: 10.1126/science.8052851
    [36] Schmahmann JD, Pandya DN (1997) The cerebrocerebellar system. Int Rev Neurobiol 41: 31-60. doi: 10.1016/S0074-7742(08)60346-3
    [37] Middleton FA, Strick PL (2001) Cerebellar projections to the prefrontal cortex of the primate. J Neurosci 21: 700-712.
    [38] Kelly RM, Strick PL (2003) Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate. J Neurosci 23: 8432-8444.
    [39] Fiez JA, Petersen SE, Cheney MK, et al. (1992) Impaired non-motor learning and error detection associated with cerebellar damage. A single case study. Brain 115: 155-178.
    [40] Moulton EA, Elman I, Becerra LR, et al. (2014) The cerebellum and addiction: insights gained from neuroimaging research. Addict Biol 19: 317-331.
    [41] Miquel M, Vazquez-Sanroman D, Carbo-Gas M, et al. (2016) Have we been ignoring the elephant in the room? Seven arguments for considering the cerebellum as part of addiction circuitry. Neurosci Biobehav Rev 60: 1-11.
    [42] Arriada-Mendicoa N, Otero-Silceo E, Corona-Vazquez T (1999) Current concepts regarding the cerebellum and cognition. Rev Neurol 29: 1075-1082.
    [43] Ito M (1993) Movement and thought: identical control mechanisms by the cerebellum. Trends Neurosci 16: 448-454. doi: 10.1016/0166-2236(93)90073-U
    [44] Lent R, Azevedo FA, Andrade-Moraes CH, et al. (2012) How many neurons do you have? Some dogmas of quantitative neuroscience under revision. Eur J Neurosci 35: 1-9.
    [45] Donkelaar HJT, Lammens M, Wesseling P, et al. (2003) Development and developmental disorders of the human cerebellum. J Neurol 250: 1025-1036.
    [46] Carletti B, Rossi F (2008) Neurogenesis in the cerebellum. Neuroscientist 14: 91-100. doi: 10.1177/1073858407304629
    [47] Volpe JJ (2009) Cerebellum of the Premature Infant: Rapidly Developing, Vulnerable, Clinically Important. J Child Neurol 24: 1085-1104. doi: 10.1177/0883073809338067
    [48] Singh I (1997) Gross Anatomy of the Cerebellum, Chapter 7 in Textbook of Human Neuroanatomy, Fifth Edition ed. Singh I, Jaypee Brothers Medical Publishers Ltd New Delhi: 60-65.
    [49] Andersen BB, Korbo L, Pakkenberg B (1992) A quantitative study of the human cerebellum with unbiased stereological techniques. J Comp Neurol 326: 549-560.
    [50] Purves D, Augustine GJ, Fitzpatrick D, et al., editors. Sunderland (MA): Sinauer Associates; 2001.
    [51] Patestas MA, Gartner LP, (2016) Chapter 6 Gross anatomy of the brain: A Textbook of Neuroanatomy; Wiley-Blackwell.
    [52] Simat M, Parpan P, Fritschy JM (2006) Heterogeneity of glycinergic and gabaergic interneurons in the granule cell layer of mouse cerebellum. J Comp Neurol 500: 71-83.
    [53] Larsell O (1947) The development of the cerebellum in man in relation to its comparative anatomy. J Comp Neurol 87: 85-129. doi: 10.1002/cne.900870203
    [54] Larsell O (1958) Lobules of the mammalian and human cerebellum. Anat Rec 130: 329-330.
    [55] Grimaldi G, Manto M (2012) Topography of cerebellar deficits in humans. Cerebellum 11: 336-351.
    [56] Manto M, Mariën P (2015) Schmahmann's syndrome - identification of the third cornerstone of clinical ataxiology. Cerebellum Ataxias 2: 2. doi: 10.1186/s40673-015-0023-1
    [57] Cerminara NL, Apps R (2011) Behavioural Significance of Cerebellar Modules. Cerebellum 10: 484-494.
    [58] White JJ, Arancillo M, Stay TR, et al. (2014) Cerebellar Zonal Patterning Relies on Purkinje Cell Neurotransmission. J Neurosci 34: 8231-8245. doi: 10.1523/JNEUROSCI.0122-14.2014
    [59] Snider RS, Stowell A (1944) Receiving areas of the tactile, auditory and visual systems in the cerebellum. J Neurophysiol 7: 331-357.
    [60] Grodd W, Hülsmann E, Lotze M, et al. (2001) Sensorimotor mapping of the human cerebellum: fMRI evidence of somatotopic organization. Hum Brain Mapp 13: 55-73.
    [61] Wiestler T, McGonigle DJ, Diedrichsen J (2011) Integration of sensory and motor representations of single fingers in the human cerebellum. J Neurophysiol 105: 3042-3053.
    [62] Schlerf JE, Verstynen TD, Ivry RB, et al. (2010) Evidence of a novel somatopic map in the human neocerebellum during complex actions. J Neurophysiol 103: 3330-3336. doi: 10.1152/jn.01117.2009
    [63] Ivry R (1997) Cerebellar timing systems. Int Rev Neurobiol 41: 555-573.
    [64] Apps R, Hawkes R (2009) Cerebellar cortical organization: a one-map hypothesis. Nat Rev Neurosci 10: 670-681.
    [65] Horn KM, Pong M, Gibson AR (2010) Functional relations of cerebellar modules of the cat. J Neurosci 30: 9411-9423. doi: 10.1523/JNEUROSCI.0440-10.2010
    [66] White JJ, Sillitoe RV (2013) Postnatal development of cerebellar zones revealed by neurofilament heavy chain protein expression. Front Neuroanat 7: 9.
    [67] Uusisaari M, De Schutter E (2001) The mysterious microcircuitry of the cerebellar nuclei. J Physiol 589, 3441-3457.
    [68] Voogd J, Bigare F (1980) Topographical distribution of olivary and corticonuclear fibers in the cerebellum. In: The inferior olivary nucleus. (eds) Courville J, DeMontigny C, Lamarre Y, New York: Raven: 207-234.
    [69] Voogd J, Glickstein M (1998) The anatomy of the cerebellum. Trends Neurosci 21: 370-375. doi: 10.1016/S0166-2236(98)01318-6
    [70] Glickstein M, Sultan F, Voogd J (2011) Functional localization in the cerebellum. Cortex 47: 59-80.
    [71] Chaumont J, Guyon N, Valera AM, et al. (2013) Clusters of cerebellar Purkinje cells control their afferent climbing fiber discharge. Proc Natl Acad Sci U S A 110: 16223-16228. doi: 10.1073/pnas.1302310110
    [72] Apps R, Garwicz M (2005) Anatomical and physiological foundations of cerebellar information processing. Nat Rev Neurosci 6: 297-311. doi: 10.1038/nrn1646
    [73] Ebner TJ, Wang X, Gao W, et al. (2012) Parasagittal zones in the cerebellar cortex differ in excitability, information processing, and synaptic plasticity. Cerebellum 11: 418-419. doi: 10.1007/s12311-011-0347-1
    [74] Azevedo FA, Carvalho LR, Grinberg LT, et al. (2009) Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol 513: 532-541.
    [75] Hoxha E, Tempia F, Lippiello P, et al. (2016) Modulation, Plasticity and Pathophysiology of the Parallel Fiber-Purkinje Cell Synapse. Front Synaptic Neurosci 8: 35.
    [76] Miyakawa H, Lev-Ram V, Lasser-Ross N et al. (1992) Calcium transients evoked by climbing fiber and parallel fiber synaptic inputs in guinea pig cerebellar Purkinje neurons. J Neurophysiol 68: 1178-1189.
    [77] Person AL, Raman IM (2012) Purkinje neuron synchrony elicits time-locked spiking in the cerebellar nuclei. Nature 481: 502-505.
    [78] Pedroarena CM, Schwarz C (2003) Efficacy and short-term plasticity at GABAergic synapses between Purkinje and cerebellar nuclei neurons. J Neurophysiol 89: 704-715.
    [79] Pugh JR, Raman IM (2005) GABAA receptor kinetics in the cerebellar nuclei: evidence for detection of transmitter from distant release sites. Biophys J 88: 1740-1754. doi: 10.1529/biophysj.104.055814
    [80] Sugihara I, Fujita H, Na J, et al. (2009) Projection of reconstructed single Purkinje cell axons in relation to the cortical and nuclear aldolase C compartments of the rat cerebellum. J Comp Neurol 512: 282-304. doi: 10.1002/cne.21889
    [81] Sugihara I (2011) Compartmentalization of the deep cerebellar nuclei based on afferent projections and aldolase C expression. Cerebellum 10: 449-463.
    [82] Bengtsson F, Svensson P, Hesslow G (2004) Feedback control of Purkinje cell activity by the cerebello-olivary pathway. Eur J Neurosci 20: 2999-3005. doi: 10.1111/j.1460-9568.2004.03789.x
    [83] Witter L, Canto CB, Hoogland TM, et al. (2013) Strength and timing of motor responses mediated by rebound firing in the cerebellar nuclei after Purkinje cell activation. Front Neural Circuits 7: 133.
    [84] Orduz D, Llano I (2007) Recurrent axon collaterals underlie facilitating synapses between cerebellar Purkinje cells. Proc Natl Acad Sci U S A 104: 17831-17836. doi: 10.1073/pnas.0707489104
    [85] Wadiche JI, Jahr CE (2005) Patterned expression of Purkinje cell glutamate transporters controls synaptic plasticity. Nat Neurosci 8: 1329-1334.
    [86] Watt AJ, Cuntz H, Mori M, et al. (2009). Travelling waves in developing cerebellar cortex mediated by asymmetrical Purkinje cell connectivity. Nat Neurosci 12: 463-473.
    [87] Augustine GJ, Fitzpatrick D, Katz LC, et al. (2004) Chapter 18: Modulation of Movement by the Cerebellum, Circuits within the cerebellum, In Neuroscience 3rd Edition, Sinauer Associates, Sunderland (MA).
    [88] Gao W, Chen G, Reinert KC, et al. (2006) Cerebellar cortical molecular layer inhibition is organized in parasagittal zones. J Neurosci 26: 8377-8387.
    [89] Dizon MJ, Khodakhah K (2011) The role of interneurons in shaping Purkinje cell responses in the cerebellar cortex. J Neurosci 231: 10463-10473.
    [90] Booth J, Wood L, Lu D, et al. (2007) The role of the basal ganglia and cerebellum in language processing. Brain Res 1133: 136-144. doi: 10.1016/j.brainres.2006.11.074
    [91] Kellermann T, Regenbogen C, De Vos M, et al. (2012). Effective connectivity of the human cerebellum during visual attention. J Neurosci 32: 11453-11460.
    [92] Sokolov AA, Erb M, Gharabaghi A, et al. (2012). Biological motion processing: the left cerebellum communicates with the right superior temporal sulcus. Neuroimage 59: 2824-2830. doi: 10.1016/j.neuroimage.2011.08.039
    [93] Jack A, Pelphrey KA (2015). Neural correlates of animacy attribution include neocerebellum in healthy adults. Cereb Cortex 25: 4240-4247. doi: 10.1093/cercor/bhu146
    [94] Schweighofer N, Doya K, Kuroda S (2004) Cerebellar aminergic neuromodulation: towards a functional understanding. Brain Res Rev 44: 103-116. doi: 10.1016/j.brainresrev.2003.10.004
    [95] Wamsley JK, Palacios JM (1984) Amino acid and benzodiazepine receptors. In Handbook of Chemical Neuroanatomy. In: Bjorklund A, Hiikfelt T, Kuhar MJ eds. Classical Transmitters and Transmitter Receptors in the CNS. Amsterdam: Elsevier: 352-385.
    [96] Somogyi P, Takagi H, Richards JG (1989) Subcellular localization of benzodiazepine/GABAA receptors in the cerebellum of rat, cat, and monkey using monoclonal antibodies. J Neurosci 9: 2197-2209.
    [97] Kuhar MJ, De Souza EB, Unnerstall JR (1986) Neurotransmitter receptor mapping by autoradiography and other methods. Annu Rev Neurosci 9: 27-59. doi: 10.1146/annurev.ne.09.030186.000331
    [98] De Blas AL, Vitorica J, Friedrich P (1988) Localization of the GABA-A receptor in the rat brain with a monoclonal antibody to the 57,000 Mr peptide of the GABA-A receptor/benzodiazepine receptor/Cl- channel complex. J Neurosci 8: 602-614.
    [99] Kulik A, Nakadate K, Nyiri G, et al. (2002) Distinct localization of GABA(B) receptors relative to synaptic sites in the rat cerebellum and ventrobasal thalamus. Eur J Neurosci 15: 291-307. doi: 10.1046/j.0953-816x.2001.01855.x
    [100] Llansola M, Sanchez-Perez A, Cauli O, et al. (2005) Modulation of NMDA receptors in the cerebellum. 1. Properties of the NMDA receptor that modulate its function. Cerebellum 4: 154-161.
    [101] Garyfallou VT, Kohama SG, Urbanski HF (1996) Distribution of NMDA and AMPA receptors in the cerebellar cortex of Rhesus macaques. Brain Res 716: 22-28.
    [102] Knöpfel T, Grandes P (2002). Metabotropic glutamate receptors in the cerebellum with a focus on their function in Purkinje cells. Cerebellum 1: 19-26.
    [103] Crepel F, Hemart H, Jaillard D, et al. (1996) Cellular mechanism of long-term depression in the cerebellum. Behav Brain Sci 19: 347-353. doi: 10.1017/S0140525X00081449
    [104] Kano M, Kato M (1987) Quisqualate receptors are specifically involved in cerebellar synaptic plasticity. Nature 325: 276-279.
    [105] Yamazaki M, Araki K, Shibata A, et al. (1992) Molecular cloning of a cDNA encoding a novel member of the mouse glutamate receptor channel family. Biochem Biophys Res Commun 183: 886-892.
    [106] Araki K, Meguro H, Kushiya E, et al. (1993) Selective expression of the glutamate receptor channel delta 2 subunit in cerebellar Purkinje cells. Biochem Biophys Res Commun 197: 1267-1276.
    [107] Landsend AS, Amiry-Moghaddam M, Matsubara A, et al. (1997) Differential localization of delta glutamate receptors in the rat cerebellum: co-expression with AMPA receptors in parallel fiber-spine synapses and absence from climbing fiber-spine synapses. J Neurosci 17: 834-842.
    [108] Ikai S, Takada Y, Shinonaga M (1992) Dopaminergic and non-dopaminergic neurons in the ventral tegmental area of the rat project, respectively, to the cerebellar cortex and deep cerebellar nuclei. Neurosci 51: 719-728.
    [109] Barili P, Bronzetti E, Ricci A, et al. (2000) Microanatomical localization of dopamine receptor protein immunoreactivity in the rat cerebellar cortex. Brain Res 854: 130-138. doi: 10.1016/S0006-8993(99)02306-9
    [110] Alder R, Barbas H (1995) Complementary distribution of the phosphoproteins DARPP-32 and I-1 in the cerebellar system. Neuroreport 6: 2368-2372. doi: 10.1097/00001756-199511270-00022
    [111] Kawaguchi Y, Hirano T (2002) Signalling cascade regulating long-term potentiation of GABA (A) receptor responsiveness in cerebellar Purkinje neurons. J Neurosci 22: 3969-3976.
    [112] Kerr CW, Bishop GA (1992) The physiological effects of serotonin are mediated by the 5HT1A receptor in the cat's cerebellar cortex. Brain Res 591: 253-260. doi: 10.1016/0006-8993(92)91705-J
    [113] Geurts FJ, De Schutter E, Timmermans JP (2002) Localization of 5-HT2A, 5-HT3, 5-HT5A and 5-HT7 receptor-like immunoreactivity in the rat cerebellum. J Chem Neuroanat 24: 65-74.
    [114] Bishop GA, Ho RH (1985) The distribution and origin of serotonin immunoreactivity in the rat cerebellum. Brain Res 331: 195-207.
    [115] Kerr CW, Bishop GA (1991) Topographical organization in the origin of serotoninergic projections to different regions of the cat cerebellar cortex. J Comp Neurol 304: 502-515. doi: 10.1002/cne.903040313
    [116] Weiss M, Pellet J (1982) Raphe–cerebellum interactions: I. Effects of cerebellar stimulation and harmaline administration on single unit activity of midbrain raphe neurons in the rat. Exp Brain Res 48: 163-170.
    [117] Weiss M, Pellet J (1982) Raphe-cerebellum interactions: II. Effects of midbrain raphe stimulation and harmaline administration on single unit activity of cerebellar cortical cells in the rat. Exp Brain Res 48: 171-176.
    [118] Maura G, Ricchetti A, Raiteri M (1986) Serotonin inhibits the depolarization-evoked release of endogenous glutamate from rat cerebellar nerve endings. Neurosci Lett 67: 218-222. doi: 10.1016/0304-3940(86)90401-5
    [119] Mitoma H, Konishi S (1999) Monoaminergic long-term facilitation of GABA-mediated inhibitory transmission at cerebellar synapses. Neurosci 88: 871-883.
    [120] Lippiello P, Hoxha E, Speranza L, et al. (2016) The 5-HT7 receptor triggers cerebellar long-term synaptic depression via PKC-MAPK. Neuropharmacol 101: 426-438. doi: 10.1016/j.neuropharm.2015.10.019
    [121] Kimoto Y, Satoh K, SakumotoT et al. (1978) Afferent fibre connections from the lower brain stem to the rat cerebellum by the horseradish peroxidase method combined with MAO staining, with special reference to noradrenergic neurons. J Hirnforsch 19: 85-100.
    [122] Mitoma H, Konishi S (1996) Long-lasting facilitation of inhibitory transmission by monoaminergic and cAMP-dependent mechanism in rat cerebellar GABAergic synapses. Neurosci Lett 217: 141-144.
    [123] Saitow F, Satake S, Yamada J, et al. (2000) Beta-adrenergic receptor mediated presynaptic facilitation of inhibitory GABAergic transmission at cerebellar interneuron-Purkinje cell synapses. J Neurophysiol 84: 2016-2025.
    [124] Cheun JJ, Yeh HH (1996) Noradrenergic potentiation of cerebellar Purkinje cell responses to GABA: cyclic AMP as intracellular intermediary. Neurosci 74: 835-844.
    [125] Gould TJ, Adams CE, Bickford PC (1997) Beta-adrenergic modulation of GABAergic inhibition in the deep cerebellar nuclei of F344 rats. Neuropharmacol 36: 75-81.
    [126] Watson M, McElligott JG (1984) Cerebellar norepinephrine depletion and impaired acquisition of specific locomotor tasks in rats. Brain Res 296: 129-138. doi: 10.1016/0006-8993(84)90518-3
    [127] Bickford P (1993) Motor learning deficits in aged rats are correlated with loss of cerebellar noradrenergic function. Brain Res 620: 133-138.
    [128] Schambra UB, Mackensen GB, Stafford-Smith M, et al. (2005). Neuron specific alpha-adrenergic receptor expression in human cerebellum: implications for emerging cerebellar roles in neurologic disease. Neurosci 135: 507-523.
    [129] Papay R, Gaivin R, Jha A, et al. (2006) Localization of the mouse alpha1A-adrenergic receptor (AR) in the brain: alpha1AAR is expressed in neurons, GABAergic interneurons, and NG2 oligodendrocyte progenitors. J Comp Neurol 497: 209-222. doi: 10.1002/cne.20992
    [130] Hirono M, Matsunaga W, Chimura T, et al. (2008) Developmental enhancement of alpha2-adrenoceptor-mediated suppression of inhibitory synaptic transmission onto mouse cerebellar Purkinje cells. Neurosci 156: 143-154.
    [131] Lippiello P, Hoxha E, Volpicelli F, et al. (2015) Noradrenergic modulation of the parallel fiber-Purkinje cell synapse in mouse cerebellum. Neuropharmacol 89: 33-42. doi: 10.1016/j.neuropharm.2014.08.016
    [132] Siggins GR, Hoffer BJ, Oliver AP, et al. (1971) Activation of a central noradrenergic projection to cerebellum. Nature 233: 481-483. doi: 10.1038/233481a0
    [133] Hoffer BJ, Siggins GR, Bloom FE (1971) Studies on norepinephrine-containing afferents to Purkinje cells of rat cerebellum. II. Sensitivity of Purkinje cells to norepinephrine and related substances administered by microiontophoresis. Brain Res 25: 523-534.
    [134] Saitow F, Konishi S (2000) Excitability increase induced by beta-adrenergic receptor-mediated activation of hyperpolarization-activated cation channels in rat cerebellar basket cells. J Neurophysiol 84: 2026-2034.
    [135] Carey MR, Regehr WG (2009) Noradrenergic control of associative synaptic plasticity by selective modulation of instructive signals. Neuron 62: 112-122. doi: 10.1016/j.neuron.2009.02.022
    [136] Jaarsma D, Ruigrok TJ, Caffe R, et al. (1997) Cholinergic innervation and receptors in the cerebellum. Prog Brain Res 114: 67-96.
    [137] Turner JR, Kellar KJ (2005) Nicotinic cholinergic receptors in the rat cerebellum: multiple heteromeric subtypes. J Neurosci 25: 9258-9265.
    [138] Andre P, Pompeiano O, White SR (1993) Activation of muscarinic receptors induces a long-lasting enhancement of Purkinje cell responses to glutamate. Brain Res 617: 28-36.
    [139] Graham A, Court JA, Martin-Ruiz CM, et al. (2000) Immunohistochemical localisation of nicotinic acetylcholine receptor subunits in human cerebellum. Neurosci 113: 493-507.
    [140] Glickstein M (2007) What does the cerebellum really do? Curr Biol 17: R824-827. doi: 10.1016/j.cub.2007.08.009
    [141] Baillieux H, Smet HJ, Paquier PF, et al. (2008) Cerebellar neurocognition: Insights into the bottom of the brain. Clin Neurol Neurosurg 11:763-773.
    [142] Dean P, Porrill J (2008) Oculomotor anatomy and the motor-error problem: the role of the paramedian tract nuclei. Prog Brain Res 171: 177-186.
    [143] Haith A, Vijayakumar S (2009) Implications of different classes of sensorimotor disturbance for cerebellar based motor learning models. Biol Cybern 100: 81-95.
    [144] Ohyama T, Medina JF, Nores WL, et al. (2002) Trying to understand the cerebellum well enough to build one. Ann NY Acad Sci 978, 425-438.
    [145] Ito M (2008) Control of mental activities by internal models in the cerebellum. Nat Rev Neurosci 9: 304-313. doi: 10.1038/nrn2332
    [146] Koziol LF, Budding DE, Chidekel D (2012) From movement to thought: executive function, embodied cognition, and the cerebellum. Cerebellum 11: 505-525. doi: 10.1007/s12311-011-0321-y
    [147] Paulin MG (2005) Evolution of the cerebellum as a neuronal machine for Bayesian state estimation. J Neural Eng 2: S219-234
    [148] Miall RC, Weir DJ, Wolpert DM, et al. (1993) Is the cerebellum a Smith predictor? J Motor Behav 25: 203-216. doi: 10.1080/00222895.1993.9942050
    [149] Kurtaj L, Limani I, Shatri V, et al. (2013) The cerebellum: new computational model that reveals its primary function to calculate multibody dynamics conform to Lagrange-Euler formulation. Int J Computer Sci 10: 1-18.
    [150] Fujita M (1982) Adaptive filter model of the cerebellum. Biol Cybern 45: 195-206. doi: 10.1007/BF00336192
    [151] Dean P, Porrill J, Ekerot CF, et al. (2010) The cerebellar microcircuit as an adaptive filter: experimental and computational evidence. Nat Rev Neurosci 11: 30-43.
    [152] Rosenblatt F (1962) Principles of neurodynamics. Spartan Books; Washington.
    [153] Kawato M (1999) Internal models for motor control and trajectory planning. Curr Opin Neurobiol 9: 718-727. doi: 10.1016/S0959-4388(99)00028-8
    [154] Barlow JS (2002) The cerebellum and adaptive control. Cambridge University Press; Cambridge, UK.
    [155] Farber NB, Newcomer JW, Olney JW (2000) Are glycine sites saturated In vivo? Arch Gen Psychiatry 57: 1181-1183.
    [156] Mariën P, Ackermann H, Adamaszek M, et al. (2014) Consensus Paper: Language and the Cerebellum: an ongoing Enigma. Cerebellum 13: 386-410.
    [157] Baddeley A (2003) Working memory: looking back and looking forward. Nat Rev Neurosci 4: 829-839.
    [158] Ben-Yehudah G, Fiez JA (2008) Impact of cerebellar lesions on reading and phonological processing. Ann NY Acad Sci 1145: 260-274.
    [159] Leggio MG, Chiricozzi FR, Clausi S (2011) The neuropsychological profile of cerebellar damage: the sequencing hypothesis. Cortex 47: 137-144. doi: 10.1016/j.cortex.2009.08.011
    [160] Kirschen MP, Davis-Ratner MS, Milner MW, et al. (2008) Verbal memory impairments in children after cerebellar tumor resection. Behav Neurol 20: 39-53. doi: 10.1155/2008/817253
    [161] Law N, Bouffet E, Laughlin S, et al. (2011) Cerebello-thalamo-cerebral connections in pediatric brain tumor patients: impact on working memory. NeuroImage 56: 2238-2248. doi: 10.1016/j.neuroimage.2011.03.065
    [162] Justus T, Ravizza SM, Fiez JA, et al. (2005) Reduced phonological similarity effects in patients with damage to the cerebellum. Brain Lang 95: 304-318. doi: 10.1016/j.bandl.2005.02.001
    [163] Cooper FE, Grube M, Von Kriegstein K, et al. (2012) Distinct critical cerebellar subregions for components of verbal working memory. Neuropsychologia 50: 189-197.
    [164] Boyden ES, Katoh A, Pyle JL, et al. (2006) Selective engagement of plasticity mechanisms for motor memory storage. Neuron 51: 823-834. doi: 10.1016/j.neuron.2006.08.026
    [165] Medina JF, Nores WL, Ohyama T, et al. (2000) Mechanisms of cerebellar learning suggested by eyelid conditioning. Curr Opin Neurobiol 10: 717-724. doi: 10.1016/S0959-4388(00)00154-9
    [166] Schonewille M, Gao Z, Boele HJ, et al. (2011) Reevaluating the role of LTD in cerebellar motor learning. Neuron 70: 43-50.
    [167] Grasselli G, Hansel C (2014) Cerebellar long-term potentiation: cellular mechanisms and role in learning. Int Rev Neurobiol 117: 39-51. doi: 10.1016/B978-0-12-420247-4.00003-8
    [168] Hansel C, Linden DJ (2000) Long-term depression of the cerebellar climbing fiber--Purkinje neuron synapse. Neuron 26: 473-482.
    [169] Kawaguchi S, Hirano T (2000) Suppression of inhibitory synaptic potentiation by presynaptic activity through postsynaptic GABA(B) receptors in a Purkinje neuron. Neuron 27: 339-347.
    [170] Jörntell H, Hansel C (2006) Synaptic memories upside down: bidirectional plasticity at cerebellar parallel fiber-Purkinje cell synapses. Neuron 52: 227-238. doi: 10.1016/j.neuron.2006.09.032
    [171] Wang DJ, Su LD, Wang YN, et al. (2014) Long-term potentiation at cerebellar parallel fiber-Purkinje cell synapses requires presynaptic and postsynaptic signalling cascades. J Neurosci 534: 2355-2364.
    [172] Lev-Ram V, Mehta SB, Kleinfeld D, et al. (2003) Reversing cerebellar long-term depression. Proc Natl Acad Sci U S A 100: 15989-15993. doi: 10.1073/pnas.2636935100
    [173] Van Overwalle F, Mariën P (2016) Functional connectivity between the cerebrum and cerebellum in social cognition: A multi-study analysis. NeuroImage 124: 248-255. doi: 10.1016/j.neuroimage.2015.09.001
    [174] Hoche F, Guell X, Sherman JC, et al. (2016) Cerebellar Contribution to Social Cognition. Cerebellum 15: 732-743.
    [175] Schurz M, Radua J, Aichhorn M, et al. (2014) Fractionating theory of mind: a meta-analysis of functional brain imaging studies. Neurosci Biobehav Rev 42: 9-34. doi: 10.1016/j.neubiorev.2014.01.009
    [176] Trope Y, Liberman N (2010) Construal-level theory of psychological distance. Psychol Rev 117: 440-463. doi: 10.1037/a0018963
    [177] Van Overwalle F, Baetens K, Mariën P, et al. (2014) Social cognition and the cerebellum: a meta-analysis of over 350 fMRI studies. NeuroImage 86: 554-572. doi: 10.1016/j.neuroimage.2013.09.033
    [178] Van Overwalle F, D'aes T, Mariën P (2015) Social Cognition and the Cerebellum: A Meta-analytic Connectivity Analysis. Hum Brain Map 36: 5137-5154. doi: 10.1002/hbm.23002
    [179] Van Overwalle F, Baetens K, Mariën P, et al. (2015) Cerebellar areas dedicated to social cognition? A comparison of meta-analytic and connectivity results. Soc Neurosci 10: 337-344.
    [180] Schmahmann JD, Sherman JC (1998) The cerebellar cognitive affective syndrome. Brain 121: 561-579.
    [181] Chheda M, Sherman J, Schmahmann JD (2002) Neurologic, psychiatric and cognitive manifestations in cerebellar agenesis. Neurology 58: 356.
    [182] Tavano A, Grasso R, Gagliardi C, et al. (2007) Disorders of cognitive and affective development in cerebellar malformations. Brain 130: 2646-2660. doi: 10.1093/brain/awm201
    [183] Kim YH, Kim KW (2006) Effects of single-dose methylphenidate on cognitive performance in patients with traumatic brain injury: a double-blind placebo controlled study. Clin Rehabil 20: 24-30. doi: 10.1191/0269215506cr927oa
    [184] Yap JL, Wachtel LE, Ahn ES, et al. (2012) Treatment of cerebellar cognitive affective syndrome with aripiprazole. J Pediatric Rehab Med 5: 233-238.
    [185] Chang C, Siao SW (2016) Cerebellar cognitive affective syndrome: Attention deficite hyperactivity disorder episode of adolescent with cerebellar atrophy in a psychiatric ward. Kaohsiung J Med Sci 32: 52-54. doi: 10.1016/j.kjms.2015.10.006
    [186] Faraone SV, Biederman J, Spencer T, et al. (2005) Atomoxetine and stroop task performance in adult attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol 15: 664-670. doi: 10.1089/cap.2005.15.664
    [187] Foster DJ, Good DC, Fowlkes A, et al. (2006) Atomoxetine enhances a short-term model of plasticity in humans. Arch Phys Med Rehabil 87: 216-221. doi: 10.1016/j.apmr.2005.08.131
    [188] Borchert RJ, Rittman T, Passamonti L, et al. (2016) Atomoxetine Enhances Connectivity of Prefrontal Networks in Parkinson's Disease. Neuropsychopharmacol 41: 2171-2177. doi: 10.1038/npp.2016.18
    [189] Doody RS
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