From signals to adaptive states

A year in research · 30 selected publications · five research threads

In 2022, we connected moment-to-moment neural signals with the larger states that determine whether behaviour becomes focused, flexible or vulnerable to distraction.

The studies combined event coding, working-memory gating, metacontrol, neuromodulation and machine learning. Together they showed that adaptive control depends on what information is represented, the state of the system before a demand arrives, and the resources available to reorganize behaviour.

01 · ACTION REPRESENTATIONS

Binding, retrieving and rewriting an action

Theta and alpha activity performed distinct but complementary roles when a perception-action association had to be retrieved or reconfigured during inhibition.[1] Decoding demonstrated that a previously formed stimulus-response representation was reactivated when the relevant stimulus returned, providing direct evidence that action control draws on stored event files.[2] Pre-trial fronto-occipital connectivity biased whether subsequent processing favoured alpha-related retrieval or theta-related reconfiguration.[3]

Pre-trial theta in the right inferior frontal cortex also predicted how strongly an automated context would impair stopping.[4] Embedded response plans relied on coordinated frontoparietal theta and beta activity, with better preparation reducing later retrieval demands.[5] Across several experiments, stimulus features gradually lost their capacity to retrieve prior actions, but the basic decay process was similar for targets and distractors.[6]

In plain terms: What happens before a signal arrives helps determine whether the brain retrieves an old action or constructs a new one.

02 · GATING AND RESOURCES

Control depends on timing and available capacity

Working-memory gate opening and closing began in ventral visual regions before involving prefrontal systems, revealing a temporally nested processing cascade.[7] Time on task selectively weakened gate opening rather than gate closing and linked this decline to theta synchronization and norepinephrine-related arousal.[8] More generally, prolonged task performance reduced superior-frontal theta activity and pupil responses until invested effort became uncoupled from usable control resources.[9]

Resting theta was linked specifically to stimulus-related alarm signals during later response inhibition.[10] Early resource allocation determined how automatic response tendencies interacted with top-down inhibition.[11] Theta activity representing stimulus-response translation, rather than purely stimulus-driven processing, was especially sensitive to the interplay between interference control, action inhibition and phasic norepinephrine activity.[12]

In plain terms: Control failures often begin before the final decision to act or stop: in preparation, gating and the early allocation of limited resources.

03 · METACONTROL

Beyond a single definition of optimal control

A metacontrol perspective challenged the assumption that maximal goal focus is always optimal, proposing that cognitive atypicality may reflect biases toward either excessive persistence or excessive flexibility.[13] Resting-state signal variability supported performance differently depending on which metacontrol state was required.[14] This dimensional framework offered a way to understand partly opposing profiles in OCD and ADHD through shared cortico-striatal vulnerabilities and differences in neural signal-to-noise ratio.[15]

Pharmacological work added a representational mechanism: catecholamines did not globally change sensorimotor integration but selectively altered the stability of particular codes within perception-action representations.[16]

In plain terms: There is no universally optimal control state; success depends on matching persistence and flexibility to the current environment.

04 · ADDICTION AND NEUROMODULATION

Regaining control requires a mechanistic target

Auricular vagus nerve stimulation selectively reduced frontal alpha-related inhibitory gating during conflict monitoring.[17] Its portability also motivated a translational framework for using stimulation as an add-on intervention in alcohol use disorder, particularly in everyday contexts where loss of control occurs.[18] Acute alcohol impairment was linked to weak anticipatory gating and low working-memory demands rather than to one uniform failure of the stopping process.[19]

In alcohol use disorder, stimulus-response context altered frontal recruitment, and drinking frequency predicted the behavioural effect more clearly than the number of diagnostic criteria.[20] A broader synthesis connected such findings to non-invasive stimulation aimed at rebalancing controlled and automatic behaviour.[21]

In plain terms: Translation becomes more plausible when an intervention is tied to a defined processing operation and to the real-life state in which control is lost.

05 · CLINICAL MEASUREMENT AND METHODS

Separating shared symptoms from distinct processes

Generative neural networks inferred inhibition-related activity from execution trials, while EEG-based deep learning showed that attentional selection and sensory integration were particularly predictive of successful multi-component behaviour.[22,23] A public protocol made the combination of temporal signal decomposition and multivariate decoding reproducible.[24] Machine learning applied to medical records showed that ADHD classification depended on a broad symptom profile rather than on one diagnostic domain.[25]

Different training protocols produced unequal effects on ADHD control, with limited support for the most common theta/beta approach.[26] Children with affective dysregulation, and children with either ADHD or neurofibromatosis type 1, showed that overlapping symptoms may arise from different response-control and feedback-learning processes.[27,28] Dopamine-dependent timing changes in dopa-responsive dystonia and heterogeneous urge-tic relations in Tourette syndrome further emphasized individual and state-dependent mechanisms.[29,30]

In plain terms: Sensitive classification is useful only when it preserves mechanistic differences that broad symptom categories can conceal.

What 2022 added up to

The 2022 work linked detailed neural signals to a broader science of adaptive states. Representations, preparatory activity, resource allocation and neuromodulation jointly determine whether the system retrieves, updates or inhibits an action. This framework also offered a more precise way to compare clinical groups and design interventions.

Selected publications

Curated from PubMed records returned for Beste C[au] in 2022. Citation numbers in the story link to entries below. DOI links open the publisher landing page; PubMed links open the indexed record.

1. Alpha and Theta Bands Dynamics Serve Distinct Functions during Perception-Action Integration in Response Inhibition.

Prochnow A, Eggert E, Münchau A, Mückschel M, Beste C. Journal of cognitive neuroscience. 2022;34(6):1053-1069.

DOI: 10.1162/jocn_a_01844   ·   PubMed

2. On the Role of Memory Representations in Action Control: Neurophysiological Decoding Reveals the Reactivation of Integrated Stimulus-Response Feature Representations.

Eggert E, Takacs A, Münchau A, Beste C. Journal of cognitive neuroscience. 2022;34(7):1246-1258.

DOI: 10.1162/jocn_a_01861   ·   PubMed

3. Pre-trial fronto-occipital electrophysiological connectivity affects perception-action integration in response inhibition.

Prochnow A, Wendiggensen P, Eggert E, Münchau A, Beste C. Cortex; a journal devoted to the study of the nervous system and behavior. 2022;152:122-135.

DOI: 10.1016/j.cortex.2022.04.008   ·   PubMed

4. Pretrial Theta Band Activity Affects Context-dependent Modulation of Response Inhibition.

Wendiggensen P, Ghin F, Koyun AH, Stock AK, Beste C. Journal of cognitive neuroscience. 2022;34(4):605-617.

DOI: 10.1162/jocn_a_01816   ·   PubMed

5. Processing of embedded response plans is modulated by an interplay of frontoparietal theta and beta activity.

Wendiggensen P, Adelhöfer N, Jamous R, Mückschel M, et al.. Journal of neurophysiology. 2022;128(3):543-555.

DOI: 10.1152/jn.00537.2021   ·   PubMed

6. Stimulus decay functions in action control.

Frings C, Moeller B, Beste C, Münchau A, Pastötter B. Scientific reports. 2022;12(1):20139.

DOI: 10.1038/s41598-022-24499-6   ·   PubMed

7. A ventral stream-prefrontal cortex processing cascade enables working memory gating dynamics.

Yu S, Rempel S, Gholamipourbarogh N, Beste C. Communications biology. 2022;5(1):1086.

DOI: 10.1038/s42003-022-04048-7   ·   PubMed

8. Time-On-Task Effects on Working Memory Gating Processes-A Role of Theta Synchronization and the Norepinephrine System.

Yu S, Mückschel M, Rempel S, Ziemssen T, Beste C. Cerebral cortex communications. 2022;3(1):tgac001.

DOI: 10.1093/texcom/tgac001   ·   PubMed

9. Superior frontal regions reflect the dynamics of task engagement and theta band-related control processes in time-on task effects.

Yu S, Mückschel M, Beste C. Scientific reports. 2022;12(1):846.

DOI: 10.1038/s41598-022-04972-y   ·   PubMed

10. Resting-state theta activity is linked to information content-specific coding levels during response inhibition.

Pscherer C, Mückschel M, Bluschke A, Beste C. Scientific reports. 2022;12(1):4530.

DOI: 10.1038/s41598-022-08510-8   ·   PubMed

11. The importance of resource allocation for the interplay between automatic and cognitive control in response inhibition - An EEG source localization study.

Ghin F, Stock AK, Beste C. Cortex; a journal devoted to the study of the nervous system and behavior. 2022;155:202-217.

DOI: 10.1016/j.cortex.2022.07.004   ·   PubMed

12. A role of the norepinephrine system or effort in the interplay of different facets of inhibitory control.

Yu S, Ghin F, Mückschel M, Ziemssen T, Stock AK, Beste C. Neuropsychologia. 2022;166:108143.

DOI: 10.1016/j.neuropsychologia.2022.108143   ·   PubMed

13. A Metacontrol Perspective on Neurocognitive Atypicality: From Unipolar to Bipolar Accounts.

Colzato LS, Beste C, Zhang W, Hommel B. Frontiers in psychiatry. 2022;13:846607.

DOI: 10.3389/fpsyt.2022.846607   ·   PubMed

14. Resting-state BOLD signal variability is associated with individual differences in metacontrol.

Zhang C, Beste C, Prochazkova L, Wang K, et al.. Scientific reports. 2022;12(1):18425.

DOI: 10.1038/s41598-022-21703-5   ·   PubMed

15. The metacontrol hypothesis as diagnostic framework of OCD and ADHD: A dimensional approach based on shared neurobiological vulnerability.

Colzato LS, Hommel B, Zhang W, Roessner V, Beste C. Neuroscience and biobehavioral reviews. 2022;137:104677.

DOI: 10.1016/j.neubiorev.2022.104677   ·   PubMed

16. Cognitive science theory-driven pharmacology elucidates the neurobiological basis of perception-motor integration.

Eggert E, Prochnow A, Roessner V, Frings C, Münchau A, Mückschel M, Beste C. Communications biology. 2022;5(1):919.

DOI: 10.1038/s42003-022-03864-1   ·   PubMed

17. Auricular Transcutaneous Vagus Nerve Stimulation Diminishes Alpha-Band-Related Inhibitory Gating Processes During Conflict Monitoring in Frontal Cortices.

Konjusha A, Colzato L, Mückschel M, Beste C. The international journal of neuropsychopharmacology. 2022;25(6):457-467.

DOI: 10.1093/ijnp/pyac013   ·   PubMed

18. Auricular transcutaneous vagus nerve stimulation for alcohol use disorder: A chance to improve treatment?

Konjusha A, Colzato L, Ghin F, Stock AK, Beste C. Addiction biology. 2022;27(5):e13202.

DOI: 10.1111/adb.13202   ·   PubMed

19. How low working memory demands and reduced anticipatory attentional gating contribute to impaired inhibition during acute alcohol intoxication.

Stock AK, Yu S, Ghin F, Beste C. Scientific reports. 2022;12(1):2892.

DOI: 10.1038/s41598-022-06517-9   ·   PubMed

20. On the Role of Stimulus-Response Context in Inhibitory Control in Alcohol Use Disorder.

Ghin F, Beste C, Stock AK. Journal of clinical medicine. 2022;11(21):6557.

DOI: 10.3390/jcm11216557   ·   PubMed

21. Neurobiological mechanisms of control in alcohol use disorder - Moving towards mechanism-based non-invasive brain stimulation treatments.

Ghin F, Beste C, Stock AK. Neuroscience and biobehavioral reviews. 2022;133:104508.

DOI: 10.1016/j.neubiorev.2021.12.031   ·   PubMed

22. Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level.

Vahid A, Mückschel M, Stober S, Stock AK, Beste C. Communications biology. 2022;5(1):148.

DOI: 10.1038/s42003-022-03091-8   ·   PubMed

23. On the relative importance of attention and response selection processes for multi-component behavior - Evidence from EEG-based deep learning.

Vahid A, Stock AK, Mückschel M, Beste C. Neuroimage. Reports. 2022;2(3):100118.

DOI: 10.1016/j.ynirp.2022.100118   ·   PubMed

24. Protocol to decode representations from EEG data with intermixed signals using temporal signal decomposition and multivariate pattern-analysis.

Takács Á, Yu S, Mückschel M, Beste C. STAR protocols. 2022;3(2):101399.

DOI: 10.1016/j.xpro.2022.101399   ·   PubMed

25. Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records.

Mikolas P, Vahid A, Bernardoni F, Süß M, Martini J, Beste C, Bluschke A. Scientific reports. 2022;12(1):12934.

DOI: 10.1038/s41598-022-17126-x   ·   PubMed

26. The Effects of Different Theta and Beta Neurofeedback Training Protocols on Cognitive Control in ADHD.

Bluschke A, Eggert E, Friedrich J, Jamous R, et al.. Journal of cognitive enhancement : towards the integration of theory and practice. 2022;6(4):463-477.

DOI: 10.1007/s41465-022-00255-6   ·   PubMed

27. Affective Dysregulation in Children Is Associated With Difficulties in Response Control in Emotional Ambiguous Situations.

Giller F, Aggensteiner PM, Banaschewski T, Döpfner M, Brandeis D, Roessner V, Beste C. Biological psychiatry. Cognitive neuroscience and neuroimaging. 2022;7(1):66-75.

DOI: 10.1016/j.bpsc.2021.03.014   ·   PubMed

28. Feedback-Based Learning of Timing in Attention-Deficit/Hyperactivity Disorder and Neurofibromatosis Type 1.

Prochnow A, Bluschke A, Novotna B, von der Hagen M, Beste C. Journal of the International Neuropsychological Society : JINS. 2022;28(1):12-21.

DOI: 10.1017/S1355617721000072   ·   PubMed

29. Time estimation and arousal responses in dopa-responsive dystonia.

Becker LF, Tunc S, Murphy P, Bäumer T, et al.. Scientific reports. 2022;12(1):14279.

DOI: 10.1038/s41598-022-17545-w   ·   PubMed

30. Urge-tic associations in children and adolescents with Tourette syndrome.

Langelage J, Verrel J, Friedrich J, Siekmann A, et al.. Scientific reports. 2022;12(1):16008.

DOI: 10.1038/s41598-022-19685-5   ·   PubMed