A year in research · 30 selected publications · five research threads
In 2021, we linked the fine-grained contents of an action to development, learning, brain state and clinical variation.
The research moved across scales: from stimulus-response features represented for a few hundred milliseconds, through oscillatory and neurochemical processes, to developmental change and the lived heterogeneity of Tourette syndrome, ADHD and alcohol-related impairment.
01 · ACTION CODES
Multivariate EEG analyses showed that a task set is activated in parallel at stimulus, response-selection and motor levels, each involving partly different brain regions.[1] During inhibition, stimulus-response representations remained stable for several hundred milliseconds, and overlapping features made it harder to decide whether to act or stop.[2] Motor-feature binding was already visible in premotor processing, before an action was executed.[3]
Catecholaminergic modulation of perception-action integration depended on prior experience, consistent with gain control acting on an already learned task structure.[4] Magnetic-resonance spectroscopy linked striatal and anterior-cingulate GABA+ to different aspects of stimulus-response binding.[5] Together, these studies connected the content described by event-coding theories to measurable neural representations and neurobiology.
In plain terms: Actions can be decomposed into representational ingredients, and those ingredients can be followed from neurochemistry to premotor brain activity.
02 · DEVELOPMENT AND FLEXIBILITY
Working-memory gate opening and closing modulated several informational levels within theta activity in parallel.[6] Statistical and rule-based sequence learning relied on distinct prefrontal operations with different temporal sensitivities.[7] During task switching, motor codes progressed from superior parietal to premotor regions, illustrating a sequence of motor reprogramming.[8]
Developmental studies showed that perception-action integration changes across childhood and adolescence, while the binding of action features can mature differently from execution speed.[9,10] Fatigue selectively disrupted anticipatory attention and response recoding during cognitive flexibility.[11] Reaction-time feedback enhanced particular perceptual and central control processes rather than the whole processing cascade.[12] The relation between resting theta, task-related theta and stopping performance also changed around late childhood.[13]
In plain terms: Maturation and fatigue do not simply strengthen or weaken control; they change particular processing stages and the way those stages are coordinated.
03 · CAUSAL AND METHODOLOGICAL ADVANCES
The EEGManyLabs initiative established a collaborative route toward better powered, standardized and more reproducible EEG research.[14] Anodal stimulation of frontal cortex then provided a causal test, selectively changing conflict-related response-selection codes rather than every component of the EEG signal.[15] Resting-state analyses showed that network organization and its fluctuations differ systematically across frequency bands.[16]
A cross-species experiment found comparable multi-component behaviour in humans and pigeons and identified an avian hierarchical-processing region with functional similarities to the human inferior frontal system.[17] This result separated the computational requirement for hierarchical action from any one mammalian cortical architecture.
In plain terms: Stronger inference comes from reproducible pipelines, causal perturbation and comparisons that test whether a computation depends on a particular biological architecture.
04 · TOURETTE SYNDROME
A neural-noise account proposed that Tourette syndrome involves altered signal variability rather than simply excessive motor output.[18] Empirical work found increased aperiodic activity during sensorimotor integration, supporting this idea while showing that the measure was not directly proportional to tic severity.[19] Adolescents with Tourette syndrome displayed a distinct oscillatory and anatomical architecture for perception-action integration.[20]
Hyperbinding and procedural hyperlearning were brought into one framework but distinguished by their time scales and contributions.[21] Somatosensory binding and urge-tic relations proved heterogeneous, arguing against a universal chain in which an urge directly causes each tic.[22,23] Machine learning identified motor-tic severity, rather than vocal phenomena, as the strongest diagnostic separator.[24] Reviews of action coding and international networks placed these findings in a broader reconceptualization and collaborative research programme.[25,26]
In plain terms: Tourette syndrome is better understood by examining how perceptions, actions, learning and neural variability are organized than by treating every tic as an isolated motor event.
05 · ALCOHOL AND ADHD
Acute alcohol altered the transitions between resting EEG microstates and impaired the automatization of complex action sequences, while hangover did not produce the same deficit.[27,28] At the same time, well-learned automatic stimulus-response associations remained surprisingly robust even under high-dose intoxication.[29]
In ADHD, the relationship between proactive theta activity and within-trial inhibition differed between presentations, showing that group differences arise from several interacting factors rather than one weak inhibitory signal.[30] Across both research areas, the important distinction was between an intact basic operation and difficulty adapting or coordinating that operation under changing demands.
In plain terms: A preserved automatic process does not rule out clinically important difficulties in preparation, learning or coordination.
The 2021 research joined representational detail with system-level explanation. It showed how task sets and action features are encoded, how these codes change with age and state, and how clinical differences emerge from their organization. The result was a framework that treats behaviour as the outcome of coordinated processes across multiple temporal and biological scales.
Curated from PubMed records returned for Beste C[au] in 2021. Citation numbers in the story link to entries below. DOI links open the publisher landing page; PubMed links open the indexed record.
Petruo V, Takacs A, Mückschel M, Hommel B, Beste C. iScience. 2021;24(12):103502.
DOI: 10.1016/j.isci.2021.103502 · PubMed
Prochnow A, Bluschke A, Weissbach A, Münchau A, Roessner V, Mückschel M, Beste C. Journal of neurophysiology. 2021;126(2):680-692.
DOI: 10.1152/jn.00163.2021 · PubMed
Takacs A, Bluschke A, Kleimaker M, Münchau A, Beste C. Human brain mapping. 2021;42(5):1313-1327.
DOI: 10.1002/hbm.25295 · PubMed
Eggert E, Bluschke A, Takacs A, Kleimaker M, et al.. The international journal of neuropsychopharmacology. 2021;24(7):592-600.
DOI: 10.1093/ijnp/pyab012 · PubMed
Takacs A, Stock AK, Kuntke P, Werner A, Beste C. Human brain mapping. 2021;42(6):1863-1878.
DOI: 10.1002/hbm.25335 · PubMed
Rempel S, Colzato L, Zhang W, Wolff N, Mückschel M, Beste C. Neuroscience. 2021;478:11-23.
DOI: 10.1016/j.neuroscience.2021.09.025 · PubMed
Takács Á, Kóbor A, Kardos Z, Janacsek K, Horváth K, Beste C, Nemeth D. Human brain mapping. 2021;42(10):3182-3201.
DOI: 10.1002/hbm.25427 · PubMed
Petruo VA, Beste C. Neuroscience. 2021;461:23-35.
DOI: 10.1016/j.neuroscience.2021.02.030 · PubMed
Dilcher R, Beste C, Takacs A, Bluschke A, et al.. Developmental cognitive neuroscience. 2021;50:100977.
DOI: 10.1016/j.dcn.2021.100977 · PubMed
Dilcher R, Jamous R, Takacs A, Tóth-Fáber E, Münchau A, Li SC, Beste C. Journal of neurophysiology. 2021;125(4):1382-1395.
DOI: 10.1152/jn.00681.2020 · PubMed
Yu S, Mückschel M, Beste C. Journal of neurophysiology. 2021;126(2):383-397.
DOI: 10.1152/jn.00228.2021 · PubMed
Prochnow A, Mückschel M, Beste C. Cerebral cortex communications. 2021;2(2):tgab027.
DOI: 10.1093/texcom/tgab027 · PubMed
Pscherer C, Bluschke A, Mückschel M, Beste C. Human brain mapping. 2021;42(12):3845-3857.
DOI: 10.1002/hbm.25469 · PubMed
Pavlov YG, Adamian N, Appelhoff S, Arvaneh M, et al.. Cortex; a journal devoted to the study of the nervous system and behavior. 2021;144:213-229.
DOI: 10.1016/j.cortex.2021.03.013 · PubMed
Adelhöfer N, Stock AK, Beste C. Brain structure & function. 2021;226(4):1335-1351.
DOI: 10.1007/s00429-021-02245-4 · PubMed
Zink N, Mückschel M, Beste C. Neuroscience. 2021;453:43-56.
DOI: 10.1016/j.neuroscience.2020.11.037 · PubMed
Rook N, Tuff JM, Packheiser J, Güntürkün O, Beste C. iScience. 2021;24(10):103195.
DOI: 10.1016/j.isci.2021.103195 · PubMed
Münchau A, Colzato LS, AghajaniAfjedi A, Beste C. NeuroImage. Clinical. 2021;30:102654.
DOI: 10.1016/j.nicl.2021.102654 · PubMed
Adelhöfer N, Paulus T, Mückschel M, Bäumer T, et al.. Brain communications. 2021;3(4):fcab250.
DOI: 10.1093/braincomms/fcab250 · PubMed
Beste C, Mückschel M, Rauch J, Bluschke A, et al.. Biological psychiatry global open science. 2021;1(2):123-134.
DOI: 10.1016/j.bpsgos.2021.04.003 · PubMed
Takacs A, Münchau A, Nemeth D, Roessner V, Beste C. The European journal of neuroscience. 2021;54(3):5143-5160.
DOI: 10.1111/ejn.15366 · PubMed
Friedrich J, Spaleck H, Schappert R, Kleimaker M, et al.. Scientific reports. 2021;11(1):13388.
DOI: 10.1038/s41598-021-92761-4 · PubMed
Schubert L, Verrel J, Behm A, Bäumer T, Beste C, Münchau A. Cortex; a journal devoted to the study of the nervous system and behavior. 2021;143:80-91.
DOI: 10.1016/j.cortex.2021.06.017 · PubMed
Paulus T, Schappert R, Bluschke A, Alvarez-Fischer D, et al.. Brain communications. 2021;3(4):fcab282.
DOI: 10.1093/braincomms/fcab282 · PubMed
Mielke E, Takacs A, Kleimaker M, Schappert R, et al.. NeuroImage. Clinical. 2021;30:102611.
DOI: 10.1016/j.nicl.2021.102611 · PubMed
Kleimaker A, Kleimaker M, Behm A, Weissbach A, et al.. Frontiers in neurology. 2021;12:624858.
DOI: 10.3389/fneur.2021.624858 · PubMed
Schiller B, Heinrichs M, Beste C, Stock AK. Addiction biology. 2021;26(6):e13034.
DOI: 10.1111/adb.13034 · PubMed
Opitz A, Ghin F, Hubert J, Verster JC, Beste C, Stock AK. Scientific reports. 2021;11(1):12539.
DOI: 10.1038/s41598-021-90803-5 · PubMed
Stock AK, Bensmann W, Zink N, Münchau A, Beste C. Addiction biology. 2021;26(1):e12852.
DOI: 10.1111/adb.12852 · PubMed
Adelhöfer N, Bluschke A, Roessner V, Beste C. NeuroImage. Clinical. 2021;30:102609.
DOI: 10.1016/j.nicl.2021.102609 · PubMed