Circuit Nodes Research Articles

Машинный расчет несимметричных режимов трехфазных цепей с динамической нагрузкой

A new approach to analyzing three-phase circuits in the phase coordinates under unbalanced normal and emergency operating conditions is proposed, in which the information about the three-phase circuit to be analyzed by means of software is entered in a simplified manner. The equivalent circuits of three-phase generators, power lines, and static and dynamic loads are aggregated and considered in a generalized form. With such presentation, the work with a three-phase circuit diagram is significantly simplified even if it contains unbalanced loads, a few faulty sections, and control links in the equivalent circuits of electrical machines. The labeling of three-phase circuit nodes is proposed that allows three-phase and single-phase parts of the circuit to be distinguished. The topologic list of branches intended for computer-aided calculations of currents and voltages and currents is compiled for three-phase branches in a generalized form. The obtained list is compact and retains a clear representation of the three-phase circuit. The analogy between the basic electrical equations written for electrical circuit three-phase and single-phase branches is shown. Thus, the voltages and currents in a three-phase element are interrelated by equations similar to the generalized Ohm’s law, while Kirchhoff's current law is written for three-phase nodes and has the same form as for single-phase circuits. The analogy of drawing up the incidence matrix and the matrix of nodal equations is shown. Submatrices of dimensions 3 × 3, 1 × 3, or 1 × 1 depending on the node label appear as entries in the incidence matrices and nodal admittance matrices of a three-phase circuit. The nodal equations used for carrying out the subsequent analysis of the circuit in the phase coordinates are written in a standard way as in single-phase circuits. In analyzing emergency operating conditions, it is proposed to keep the simplicity and clarity of the approach by representing the circuit faulty section of as a corresponding branch embedded into the three-phase circuit. The developed approach is illustrated by calculation of unbalanced and emergency operating conditions in a complex three-phase unbalanced circuit containing two synchronous generators, one dynamic load, and one static load. The calculation has been carried for four- and three-wire three-phase circuits.

Non-Hermitian Skin Effect in a Non-Hermitian Electrical Circuit.

The conventional bulk-boundary correspondence directly connects the number of topological edge states in a finite system with the topological invariant in the bulk band structure with periodic boundary condition (PBC). However, recent studies show that this principle fails in certain non-Hermitian systems with broken reciprocity, which stems from the non-Hermitian skin effect (NHSE) in the finite system where most of the eigenstates decay exponentially from the system boundary. In this work, we experimentally demonstrate a 1D non-Hermitian topological circuit with broken reciprocity by utilizing the unidirectional coupling feature of the voltage follower module. The topological edge state is observed at the boundary of an open circuit through an impedance spectra measurement between adjacent circuit nodes. We confirm the inapplicability of the conventional bulk-boundary correspondence by comparing the circuit Laplacian between the periodic boundary condition (PBC) and open boundary condition (OBC). Instead, a recently proposed non-Bloch bulk-boundary condition based on a non-Bloch winding number faithfully predicts the number of topological edge states.

Single Cell Characterization of a Synthetic Bacterial Clock with a Hybrid Feedback Loop Containing dCas9-sgRNA.

Genetic networks that generate oscillations in gene expression activity are found in a wide range of organisms throughout all kingdoms of life. Oscillatory dynamics facilitates the temporal orchestration of metabolic and growth processes inside cells and organisms, as well as the synchronization of such processes with periodically occurring changes in the environment. Synthetic oscillator gene circuits such as the "repressilator" can perform similar functions in bacteria. Until recently, such circuits were mainly based on a relatively small set of well-characterized transcriptional repressors and activators. A promising, sequence-programmable alternative for gene regulation is given by CRISPR interference (CRISPRi), which enables transcriptional repression of nearly arbitrary gene targets directed by short guide RNA molecules. In order to demonstrate the use of CRISPRi in the context of dynamic gene circuits, we here replaced one of the nodes of a repressilator circuit by the RNA-guided dCas9 protein. Using single cell experiments in microfluidic reactors we show that this system displays robust relaxation oscillations over multiple periods and over several days. With a period of ≈14 bacterial generations, our oscillator is similar in speed as previously reported oscillators. Using an information-theoretic approach for the analysis of the single cell data, the potential of the circuit to act as a synthetic pacemaker for cellular processes is evaluated. We also observe that the oscillator appears to affect cellular growth, leading to variations in growth rate with the oscillator's frequency.

On the Mechanisms of Linearity Peak Modeling in Common-Emitter SiGe HBTs Using Mextram 505

An important aspect of compact modeling for RF application is to accurately model the biasing current at which transistor linearity is maximized, i.e. where the third order intercept point, IP3, peaks. We have shown recently that for common-emitter SiGe HBTs, Mextram 504.12 has problem modeling the IP3 peak behavior at high injection [1]. We have further developed a couple of new modeling options in Mextram 505 [2] for CB junction depletion capacitance intended to improve IP3 peak modeling [1]. However, the detailed mechanisms of how these improved CB junction depletion capacitance models translate into IP3 peak modeling improvement remains unclear and require further investigation.For instance, the collector current, which is the output current, consists of the transistor main current In that flows from the collector to the emitter, and the CB junction capacitance discharging current that flows from the collector to the base. With the change of CB junction depletion capacitance model, which distortion current is dominant, In or the CB discharging current, in determining IP3 peak? Through detailed analysis of the harmonic components of the individual branch currents at the collector node of the Mextram large signal equivalent circuit, we find that the In distortion current dominates in determining IP3 peak behavior.The next logic question is if the In distortion current improvement with the Mextram 505 CB depletion capacitance models is directly due to the normalized base hole charge term, q1I in Mextram terminology, that goes directly into the In expression, or indirectly due to propagation of the CB discharging current induced distortion to IN, through circuit interactions. We will show that it is the later rather than the former with carefully designed custom Verilog-A codes of Mextram, by using separate CB depletion capacitance models in the main current equation formulation and the CB depletion charge equations. Changing the CB depletion capacitance model used in the main current equation leads to no visible changes in IP3, while changing the CB depletion capacitance model used in the CB depletion charge equation leads to obvious changes in third order output current and hence IP3. This proves that the observed third order distortion current improvement in In responsible for the improved IP3 peak modeling in Mextram 505 fundamentally results from the CB depletion charge term, despite the small values of third order distortion in the CB depletion charge current itself.We will then further examine how reducing the CB junction depletion capacitance might affect IP3 and how the partition between extrinsic and intrinsic CB junction capacitance affects IP3 peak behavior. Interestingly, simply making all CB depletion capacitance extrinsic gets rid of the IP3 peak modeling problem in Mextram 504, implying that the high injection related increase of the intrinsic CB junction depletion charge control voltage Vjunc and its related smooth limiting parameter Vch are the root problems. A reduction of CB depletion capacitance, intrinsic or extrinsic, is found to be beneficial for IP3 peak improvement.[1] G. Niu, H. Zhang, Y. Li, X. Ding, M. Willemsen, and A. Scholten, “Physics and Compact Modeling of SiGe HBT Linearity Using Mextram,” ECS Transactions, 86 (7), pp. 145-154, 2018.[2] G. Niu, R. van der Toorn, J. C. J. Paasschens, W. J. Kloosterman, The Mextram Bipolar Transistor Model, 505.10, Model Definition Document, Auburn University, 2019.

Simulations of single event effects in 6T2C-based ferroelectric non-volatile static random access memory

The single event effects (SEEs) on ferroelectric Hf0.5Zr0.5O2 capacitor-based non-volatile static random access memory (nvSRAM) were investigated by simulation. A nvSRAM cell integrated with two ferroelectric Hf0.5Zr0.5O2 capacitors is proposed in this study. A macro-model of the ferroelectric Hf0.5Zr0.5O2 capacitor, extracted from the real fabricated devices, is utilized for simulation analysis. Fundamental store and recall operations of the proposed nvSRAM design have been demonstrated. An independent double exponential current source was utilized and injected into specific circuit nodes to simulate the heavy ion induced single event transient current. The simulation results show that the transient pulse current is possible to upset the logic state of the memory cell from 1 to 0, but whether it can recover in a short time period after the upset errors depends on the exact value of linear energy transfer for the injected particles. In addition, increasing the remnant polarization (P r) and decreasing the coercive voltage (V c) and film thickness of ferroelectric capacitors can mitigate the influence of SEEs, which provides guidance for process hardening techniques aiming at space applications.

An Efficient Thermal Model for Multifinger SiGe HBTs Under Real Operating Condition

In this work, we present a simple analytical model for electrothermal heating in multifinger bipolar transistors under realistic operating condition where all fingers are heating simultaneously. The proposed model intuitively incorporates the effect of thermal coupling among the neighboring fingers in the framework of self-heating bringing down the overall model complexity. Compared to the traditional thermal modeling approach for an ${n}$ -finger transistor where the number of circuit nodes increases as ${n}^{{2}}$ , our model requires only ${n}$ -number of nodes. The proposed model is scalable for any number of fingers and with different emitter geometries. The model is validated with 3-D thermal simulations and measured data from STMicroelectronics B4T technology. The Verilog-A implemented model simulates 40% faster than the conventional model in a transient simulation of a five-finger transistor.

Amygdala inhibitory neurons as loci for translation in emotional memories.

To survive in a dynamic environment, animals need to identify and appropriately respond to stimuli that signal danger1. Survival also depends on suppressing the threat-response during a stimulus that predicts absence of threat, i.e. safety2–5. Understanding the biological substrates of emotional memories in which animals learn to flexibly execute defensive responses to a threat-predictive cue and a safety cue is critical for developing treatments for memory disorders such as PTSD5. A key brain area for processing and storing threat memories is the centrolateral amygdala (CeL), which is an important node in the neuronal circuit mediating defensive responses6–9. Here, we applied intersectional chemogenetic strategies in CeL inhibitory neurons (INs) to block cell-type-specific translation programs that are sensitive to depletion of eukaryotic initiation factor 4E (eIF4E) and phosphorylation of eukaryotic initiation factor 2α (p-eIF2α), respectively. We show that de novo translation in CeL Somatostatin-expressing (SOM) INs is necessary for long-term storage of conditioned-threat response whereas de novo translation in CeL protein kinase Cδ (PKCδ)-expressing INs is necessary for conditioned-response inhibition to a safety cue. Our results provide new insight into the role of de novo protein synthesis in distinct CeL inhibitory neuron populations during consolidation of long-term memories.

Experience-dependent plasticity in an innate social behavior is mediated by hypothalamic LTP

All animals can perform certain survival behaviors without prior experience, suggesting a "hard wiring" of underlying neural circuits. Experience, however, can alter the expression of innate behaviors. Where in the brain and how such plasticity occurs remains largely unknown. Previous studies have established the phenomenon of "aggression training," in which the repeated experience of winning successive aggressive encounters across multiple days leads to increased aggressiveness. Here, we show that this procedure also leads to long-term potentiation (LTP) at an excitatory synapse, derived from the posteromedial part of the amygdalohippocampal area (AHiPM), onto estrogen receptor 1-expressing (Esr1+) neurons in the ventrolateral subdivision of the ventromedial hypothalamus (VMHvl). We demonstrate further that the optogenetic induction of such LTP in vivo facilitates, while optogenetic long-term depression (LTD) diminishes, the behavioral effect of aggression training, implying a causal role for potentiation at AHiPM→VMHvlEsr1 synapses in mediating the effect of this training. Interestingly, ∼25% of inbred C57BL/6 mice fail to respond to aggression training. We show that these individual differences are correlated both with lower levels of testosterone, relative to mice that respond to such training, and with a failure to exhibit LTP after aggression training. Administration of exogenous testosterone to such nonaggressive mice restores both behavioral and physiological plasticity. Together, these findings reveal that LTP at a hypothalamic circuit node mediates a form of experience-dependent plasticity in an innate social behavior, and a potential hormone-dependent basis for individual differences in such plasticity among genetically identical mice.

Synthetic Transmission Lines in Cutoff Operation for Wideband High-Impedance DC Supplies

This brief describes a novel technique for the distribution of dc power based on synthetic transmission lines with a low cutoff frequency. Since after the cutoff the impedance of these lines approaches that of an open, these components are well suited to feed dc power in circuit nodes where high impedance values are required. Narrowband bias networks based on inductors or lambda-quarter (λ/4) stubs can be substituted by the presented wideband design solution. To experimentally validate the approach, two prototypes have been implemented in a 130 nm SiGe technology. The first prototype is a synthetic line with a cutoff frequency of 12 GHz, while the second design is a distributed amplifier (DA) where a synthetic line in cutoff feeds the voltage supply. Compared to traditional approaches based on inductors or λ/4 stubs, the presented technique improves the DA bandwidth by 50% and the flatness of the frequency response. Compared to biasing achieved via the DA termination resistor, the power-added-efficiency (PAE) is doubled. To the best knowledge of the authors, this is a novel general technique for feeding dc power to any circuit from a wideband high-impedance.

Machine Learning-based Defect Coverage Boosting of Analog Circuits under Measurement Variations

Safety-critical and mission-critical systems, such as airplanes or (semi-)autonomous cars, are relying on an ever-increasing number of embedded integrated circuits. Consequently, there is a need for complete defect coverage during the testing of these circuits to guarantee their functionality in the field. In this context, reducing the escape rate of defects during production testing is crucial, and significant progress has been made to this end. However, production testing using automatic test equipment is subject to various measurement parasitic variations, which may have a negative impact on the testing procedure and therefore limit the final defect coverage. To tackle this issue, this article proposes an improved test flow targeting increased analog defect coverage, both at the system and block levels, by analyzing and improving the coverage of typical functional and structural tests under these measurement variations. To illustrate the flow, the technique of inserting a pseudo-random signal at available circuit nodes and applying machine learning techniques to its response is presented. A DC-DC converter, derived from an industrial product, is used as a case study to validate the flow. In short, results show that system-level tests for the converter suffer strongly from the measurement variations and are limited to just under 80% coverage, even when applying the proposed test flow. Block-level testing, however, can achieve only 70% fault coverage without improvements but is able to consistently achieve 98% of fault coverage at a cost of at most 2% yield loss with the proposed machine learning–based boosting technique.

Alcohol drinking alters stress response to predator odor via BNST kappa opioid receptor signaling in male mice.

Maladaptive responses to stress are a hallmark of alcohol use disorder, but the mechanisms that underlie this are not well characterized. Here, we show that kappa opioid receptor signaling in the bed nucleus of the stria terminalis (BNST) is a critical molecular substrate underlying abnormal stress responses to predator odor following heavy alcohol drinking. Exposure to predator odor during protracted withdrawal from intermittent alcohol drinking resulted in enhanced prefrontal cortex (PFC)-driven excitation of prodynorphin-containing neurons in the BNST. Furthermore, deletion of prodynorphin in the BNST and chemogenetic inhibition of the PFC-BNST pathway restored abnormal responses to predator odor in alcohol-exposed mice. These findings suggest that increased corticolimbic drive may promote abnormal stress behavioral responses to predator odor during protracted withdrawal. Various nodes of this PFC-BNST dynorphin-related circuit may serve as potential targets for potential therapeutic mediation as well as biomarkers of negative responses to stress following heavy alcohol drinking.

Hybrid Passive Cancelation Method for Reducing Common-Mode Noise in Isolated Power Converters

The shielding technique is an effective method for reducing the common-mode (CM) electromagnetic interference in an isolated power converter. However, the interwinding capacitance between the shielding layer and its adjacent winding provides the path for CM noise current. This CM noise current can be suppressed by making the averaged electric potential (AEP) of the shielding layer and its adjacent winding be equal. In this article, a balancing winding is introduced to be connected with the shielding layer for adjusting the AEP of the shielding layer to be equal to that of its adjacent winding and, thus, canceling the CM noise current. Furthermore, the hybrid passive cancelation (HPC) method is proposed in which the balancing winding is reused as the compensation winding to generate the compensation voltage for canceling the noise current flowing through the parasitic capacitance between the high dv / dt node in the primary circuit and protective earth. The proposed shielding technique with balancing winding and the HPC method are verified by the experimental results.

Fast Recurrent Processing Via Ventral Prefrontal Cortex is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition

Distributed neural population spiking patterns in macaque inferior temporal (IT) cortex that support core visual object recognition require additional time to develop for specific (“late-solved”) images suggesting the necessity of recurrent processing in these computations. Which brain circuit motifs are most responsible for computing and transmitting these putative recurrent signals to IT? To test whether the ventral prefrontal cortex (vPFC) is a critical recurrent circuit node in this system, here we pharmacologically inactivated parts of the vPFC and simultaneously measured IT population activity, while monkeys performed object discrimination tasks. Our results show that vPFC inactivation deteriorated the quality of the late-phase (>150 ms from image onset) IT population code, along with commensurate, specific behavioral deficits for “late-solved” images. Finally, silencing vPFC caused the monkeys’ IT activity patterns and behavior to become more like those produced by feedforward artificial neural network models of the ventral stream. Together with prior work, these results argue that fast recurrent processing through the vPFC is critical to the production of behaviorally-sufficient object representations in IT.

A new algorithm of solving harmonic balance equations

The harmonic balance method is widely used for simulation of nonlinear radio circuits in electronic CAD systems. The main problems of algorithms and programs based on HB methods are significant requirements for computer memory and huge computational costs when simulate a complex circuits containing thousands of electronic components and hundreds of thousands of model equations. Methods of model order reduction have become popular in recent years and can significantly reduce the dimension and memory required for electronic circuit models for dynamic mode analysis. The main problems of low-order methods for simulation of electronic circuits are associated with very small reductions in computational costs (with a significant reduction in the dimension of the equations and the required memory for the model). A new method and algorithm of solving the equations of harmonic balance method used in electronic CAD systems is presented. The new algorithm is based on applying the ideas of model order reduction methods to harmonic balance equations. A new method replaces the vector (matrix) of equation unknowns by two matrices of small dimensions that are solved by iteratively (as into the standard harmonic balance method). The first system of equations reduces the number of harmonics in balance equations, and the second system of equations reduces the number of circuit nodes. These equations of small dimensions are solved sequentially, so this algorithm allows significantly reduce the size of computer memory for storing of model equations and reduce of computational costs. The simulation program was developed in the Matlab/Simulink system. The results of simulation test circuit with different number of electronic circuit nodes and the number of considered harmonics showed that the gain was obtained only for dimensions of problems more than one hundred (the number of nodes and the number of considered harmonics).

Neural activity moderates the association between sleep and risky driving behaviors in adolescence

The biological, environmental, and psychosocial changes that occur in adolescence engender an increase in risk taking often linked to the high rates of motor vehicle crashes amongst young drivers. Most U.S. adolescents suffer from poor sleep, which is known to exacerbate the risk of driving crashes; however, research has yet to uncover a neurobiological link between sleep and risky driving in adolescence. Here, we examined potential moderators of the sleep-risk relation in fifty-six adolescents (14–18y/o) as they completed a driving task during fMRI. While poor sleep was associated with increased risky driving (i.e., running more yellow lights), good sleep emerged as a novel buffer against risky driving in lower sensation-seeking adolescents. Neural activity in the ventral striatum (VS), a key node of the risk-taking circuit, also moderated the sleep-risk association: sleep was related to risk-taking in individuals demonstrating high, but not low, VS response during risky decision-making, suggesting that reward-related neural response may underly the connection between sleep and risk-taking in adolescence. This study sheds light on the risk of driving crashes in youth by highlighting sleep as both an exacerbator and a buffer of risky driving in adolescence. Taken together, these results underscore the importance of improving adolescent sleep.

A General Time-Domain Method for Harmonic Distortion Estimation in CMOS Circuits

This article presents a general, time-domain harmonic distortion estimation method, applicable to linear CMOS circuits characterized by weakly nonlinear behavior, ranging from amplifiers, and transconductors to filters, with any number of stages. It offers a compact, fast, and systematic way to model circuits as a structure of interconnected G <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sub> -stages, and estimates the harmonic distortion at every circuit node, providing insight into the distortion contribution of every stage. The method uses a more involved model for each G <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sub> -stage that also accounts for the dependence of its output current on cross-products of its input and output voltages, improving significantly the distortion estimation accuracy. The proposed method is easily implemented in MATLAB, and intends to be integrated as a tool in EDA suites to speed-up distortion estimation. A number of examples are presented, illustrating the application of the method and validating its accuracy via comparison with Cadence Spectre simulation.

Mechanisms that allow cortical preparatory activity without inappropriate movement.

We reveal a novel mechanism that explains how preparatory activity can evolve in motor-related cortical areas without prematurely inducing movement. The smooth eye movement region of the frontal eye fields (FEFSEM) is a critical node in the neural circuit controlling smooth pursuit eye movement. Preparatory activity evolves in the monkey FEFSEM during fixation in parallel with an objective measure of visual-motor gain. We propose that the use of FEFSEM output as a gain signal rather than a movement command allows for preparation to progress in pursuit without causing movement. We also show that preparatory modulation of firing rate in FEFSEM predicts movement, providing evidence against the 'movement-null' space hypothesis as an explanation of how preparatory activity can progress without movement. Finally, there is a partial reorganization of FEFSEM population activity between preparation and movement that would allow for a directionally non-specific component of preparatory visual-motor gain enhancement in pursuit.

Speed enhancement techniques for Clock-Delayed Dual Keeper Domino logic style

ABSTRACT Domino circuit topology for high-speed operation, robustness and lower power consumption is quintessential in design of digital systems. In this paper, various high speed and robust mechanisms are proposed to enhance the speed of Clock-Delayed Dual Keeper Domino (CDDK) circuit. Delayed enabling of keeper circuit in CDDK domino circuit reduces contention between keeper circuit and Pull-Down network (PDN). The speed of transition at the dynamic node of the CDDK domino circuit is enhanced through imposing techniques namely (i) controlled clock delay time in enabling the keeper transistor, (ii) keeper control signal voltage swing variation, (iii) sizing of keeper transistors and (iv) deploying an additional conditional discharge path. The robustness of CDDK circuit is increased by upsizing the keeper transistor without degrading the speed by stack arrangement of dual keeper transistors. The simulation of enhancement techniques has been performed using Cadence® Virtuoso ADEL and ADEXL environments employing UMC 90nm technology library. The simulation results of wide fan-in 64-input OR gate demonstrate that CDDK technique with additional discharge path offer 38% increase in speed and CDDK technique with keeper transistor upsizing offers 52% increase in noise gain margin without speed degradation while comparing with the conventional domino logic circuit.

Báo cáo 9 trường hợp can thiệp nội mạch bệnh nhân tiểu máu tại Bệnh viện Trung ương Huế.

APPLICATIONS ENDOVASCULAR EMBOLIZATION FOR PERSISTENT HEMATURIA AT HUE CENTRAL HOSPITAL: NINETEEN CASES SERIES Background: Due to an induced arterio-ureteral fistula is very common after a renal partial surgery, traumatic, biopsy, arteriovenous malformations (AVM), arteriovenous fistulas (AVF). Endovascular interventions include a variety of methods and embolic materials of different circuit nodes for the purpose of completely vascular embolization causing extravasation or reduce the size of the AVM, AVF and False aneurysms, minimizing complications and recurrence. Patient and Method: Nineteen patients were performed the transcatheter arterial embolization (TAE) in Hue central hospital from 10 /2013 to 12 /2018, 19 cases had persistent hematuria. Results: All had excluded extravasation after embolization, no recurrent hematuria. Conclusion: Applications endovascular embolization in persistent hematuria is an effective and safe therapeutic method, it can be widely apply. Keywords: Intravascular intervention, prolonged hematuria

Morphometric in vivo evidence of thalamic atrophy correlated with cognitive and motor dysfunction in Huntington's disease: The IMAGE-HD study

In Huntington's disease (HD), neurodegeneration causes progressive atrophy to the striatum, cortical areas, and white matter tracts - components of corticostriatal circuitry. Such processes may affect the thalamus, a key circuit node. We investigated whether differences in dorsal thalamic morphology were detectable in HD, and whether thalamic atrophy was associated with neurocognitive, neuropsychiatric and motor dysfunction.Magnetic resonance imaging scans and clinical outcome measures were obtained from 34 presymptomatic HD (pre-HD), 29 early symptomatic HD (symp-HD), and 26 healthy control individuals who participated in the IMAGE-HD study. Manual region of interest (ROI) segmentation was conducted to measure dorsal thalamic volume, and thalamic ROI underwent shape analysis using the spherical harmonic point distribution method.The symp-HD group had significant thalamic volumetric reduction and global shape deflation, indicative of atrophy, compared to pre-HD and control groups. Thalamic atrophy significantly predicted neurocognitive and motor dysfunction within the symp-HD group only.Thalamic morphology differentiates symp-HD from pre-HD and healthy individuals. Thalamic changes may be one of the structural bases (endomorphotypes), of the endophenotypic neurocognitive and motor manifestations of disease. Future research should continue to investigate the thalamus as a potential in vivo biomarker of disease progression in HD.