A year in research · 21 selected publications · five research threads
In 2014, we connected the microstructure and chemistry of the striatum to the way people select, monitor and adapt actions under changing demands.
The year's findings made action cascading a bridge between computational models, human neurophysiology and clinically informative variation.
01 · STRIATAL MECHANISMS
A computational model distinguished transient from steady-state selection in striatal microcircuits and showed how Huntington-like changes could impair one while enhancing the other.[1] Patient data and modelling similarly identified a sensitivity threshold at which striatal dysfunction switches from enhanced to impaired response selection.[2]
Benign hereditary chorea provided a human model of medium-spiny-neuron dysfunction: error-related signals and subsequent behavioural adaptation were selectively reduced.[3] Presaccadic EEG potentials in premanifest Huntington's disease also changed longitudinally, offering a sensitive view of early control alterations.[4]
In plain terms: Striatal disease can produce both gains and losses because transient selection, sustained selection and error adaptation rely on different microcircuit properties.
02 · NEUROCHEMISTRY AND GENES
D1- and D2-receptor genotypes shifted action cascading toward more serial or more parallel goal activation.[5] Variation in the neuropeptide Y2 receptor affected response selection and the preferred cascading mode, while a related study linked the same receptor system to the decay of iconic memory.[6,7]
In pilot trainees, efficient cascading was supported by intensified attentional gating and related to striatal GABA and glutamate-related concentrations.[8] These studies joined genetic and neurochemical variation to concrete information-processing strategies.
In plain terms: Neuromodulatory differences change how goals are organized and how long sensory information remains available.
03 · CONTEXT AND STATE
Stress increased demands on response selection during action cascading without broadly changing attention or resource allocation.[9] Expectations influenced attentional or inhibitory networks depending on whether consecutive responses were compatible, while leaving conflict monitoring itself unchanged.[10] Binge drinking also produced a specific rather than global change in cascading.[11]
Neurosarcoidosis altered control in relation to inflammatory cytokines without evidence of general cognitive decline.[12] Latent toxoplasmosis delayed attentional allocation in older adults but was associated with faster action cascading in young adults, demonstrating an age- and context-dependent biological effect.[13,14]
In plain terms: State factors act selectively, and the same biological exposure may have different consequences across age and task context.
04 · MONITORING AND MEMORY
Cross-modal EEG-fMRI analysis showed that theta oscillations best predicted error-related activity in distinct parts of a distributed monitoring network.[15] Motor efference copies and proprioceptive spatial information were processed asymmetrically and partly independently across hemispheres.[16]
Olfactory memory combined modality-specific frontotemporal encoding with a supramodal maintenance system.[17] These results separated the origin, representation and maintenance of information that later guides action.
In plain terms: Monitoring and memory depend on distributed systems in which different signals preserve different aspects of an event.
05 · INDIVIDUAL TRAJECTORIES
Individual overlap between task goals mapped linearly onto frontoparietal electrophysiology.[18] Late-middle-aged adults showed dual-task costs at several processing stages, especially when complexity rose.[19] A review of language lateralization and handedness argued for partly shared but substantially independent developmental influences.[20]
A longitudinal breath test study indicated progressive hepatic mitochondrial dysfunction before Huntington's disease became manifest, widening the biological context in which brain changes develop.[21]
In plain terms: Action-control phenotypes emerge from multiple developmental and biological pathways rather than one continuum of ability.
The 2014 research linked striatal microcircuits, neuromodulators and distributed cortical systems to everyday selection between actions. Its central message was that context determines which biological difference becomes behaviourally relevant.
Curated from PubMed records returned for Beste C[au] in 2014. Citation numbers in the story link to entries below. DOI links open the publisher landing page; PubMed links open the indexed record.
Tomkins A, Vasilaki E, Beste C, Gurney K, Humphries MD. Frontiers in computational neuroscience. 2014;7:192.
DOI: 10.3389/fncom.2013.00192 · PubMed
Beste C, Humphries M, Saft C. NeuroImage. Clinical. 2014;4:623-34.
DOI: 10.1016/j.nicl.2014.04.003 · PubMed
Beste C, Saft C. Neuropsychologia. 2014;59:124-9.
DOI: 10.1016/j.neuropsychologia.2014.05.004 · PubMed
Ness V, Bestgen AK, Saft C, Beste C. Journal of Huntington's disease. 2014;3(1):33-43.
DOI: 10.3233/JHD-130086 · PubMed
Stock AK, Arning L, Epplen JT, Beste C. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2014;34(15):5335-41.
DOI: 10.1523/JNEUROSCI.5140-13.2014 · PubMed
Beste C, Stock AK, Epplen JT, Arning L. NeuroImage. 2014;102 Pt 2:558-64.
DOI: 10.1016/j.neuroimage.2014.08.026 · PubMed
Arning L, Stock AK, Kloster E, Epplen JT, Beste C. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology. 2014;24(8):1298-302.
DOI: 10.1016/j.euroneuro.2014.03.003 · PubMed
Yildiz A, Quetscher C, Dharmadhikari S, Chmielewski W, et al.. Human brain mapping. 2014;35(10):5040-5051.
DOI: 10.1002/hbm.22530 · PubMed
Yildiz A, Wolf OT, Beste C. Psychoneuroendocrinology. 2014;42:178-87.
DOI: 10.1016/j.psyneuen.2014.01.022 · PubMed
Chmielewski WX, Mückschel M, Roessner V, Beste C. Behavioural brain research. 2014;274:53-61.
DOI: 10.1016/j.bbr.2014.08.006 · PubMed
Stock AK, Blaszkewicz M, Beste C. Archives of toxicology. 2014;88(2):475-88.
DOI: 10.1007/s00204-013-1109-2 · PubMed
Beste C, Kneiphof J, Woitalla D. Brain, behavior, and immunity. 2014;41:126-33.
DOI: 10.1016/j.bbi.2014.05.005 · PubMed
Beste C, Getzmann S, Gajewski PD, Golka K, Falkenstein M. Neurobiology of aging. 2014;35(5):1037-44.
DOI: 10.1016/j.neurobiolaging.2013.11.012 · PubMed
Stock AK, Heintschel von Heinegg E, Köhling HL, Beste C. Brain, behavior, and immunity. 2014;37:103-8.
DOI: 10.1016/j.bbi.2013.11.004 · PubMed
Hoffmann S, Labrenz F, Themann M, Wascher E, Beste C. Brain structure & function. 2014;219(2):595-605.
DOI: 10.1007/s00429-013-0521-y · PubMed
Stock AK, Beste C. Frontiers in psychology. 2014;5:22.
DOI: 10.3389/fpsyg.2014.00022 · PubMed
Lenk S, Bluschke A, Beste C, Iannilli E, Rößner V, Hummel T, Bender S. NeuroImage. 2014;98:475-86.
DOI: 10.1016/j.neuroimage.2014.04.083 · PubMed
Mückschel M, Stock AK, Beste C. Cerebral cortex (New York, N.Y. : 1991). 2014;24(8):2120-9.
DOI: 10.1093/cercor/bht066 · PubMed
Chmielewski WX, Yildiz A, Beste C. Frontiers in aging neuroscience. 2014;6:193.
DOI: 10.3389/fnagi.2014.00193 · PubMed
Ocklenburg S, Beste C, Arning L, Peterburs J, Güntürkün O. Neuroscience and biobehavioral reviews. 2014;43:191-8.
DOI: 10.1016/j.neubiorev.2014.04.008 · PubMed
Hoffmann R, Stüwe SH, Goetze O, Banasch M, et al.. Movement disorders : official journal of the Movement Disorder Society. 2014;29(6):831-4.
DOI: 10.1002/mds.25862 · PubMed