» Articles » PMID: 24336710

Internal and External Influences on the Rate of Sensory Evidence Accumulation in the Human Brain

Overview
Journal J Neurosci
Specialty Neurology
Date 2013 Dec 17
PMID 24336710
Citations 156
Authors
Affiliations
Soon will be listed here.
Abstract

We frequently need to make timely decisions based on sensory evidence that is weak, ambiguous, or noisy resulting from conditions in the external environment (e.g., a cluttered visual scene) or within the brain itself (e.g., inattention, neural noise). Here we examine how externally and internally driven variations in the quality of sensory evidence affect the build-to-threshold dynamics of a supramodal "decision variable" signal and, hence, the timing and accuracy of decision reports in humans. Observers performed a continuous-monitoring version of the prototypical two-alternative dot-motion discrimination task, which is known to strongly benefit from sequential sampling and temporal accumulation of evidence. A centroparietal positive potential (CPP), which we previously established as a supramodal decision signal based on its invariance to motor or sensory parameters, exhibited two key identifying properties associated with the "decision variable" long described in sequential sampling models: (1) its buildup rate systematically scaled with sensory evidence strength across four levels of motion coherence, consistent with temporal integration; and (2) its amplitude reached a stereotyped level at the moment of perceptual report executions, consistent with a boundary-crossing stopping criterion. The buildup rate of the CPP also strongly predicted reaction time within coherence levels (i.e., independent of physical evidence strength), and this endogenous variation was linked with attentional fluctuations indexed by the level of parieto-occipital α-band activity preceding target onset. In tandem with the CPP, build-to-threshold dynamics were also observed in an effector-selective motor preparation signal; however, the buildup of this motor-specific process significantly lagged that of the supramodal process.

Citing Articles

Neural mechanisms of metacognitive improvement under speed pressure.

Stone C, Mattingley J, Rangelov D Commun Biol. 2025; 8(1):223.

PMID: 39939703 PMC: 11821868. DOI: 10.1038/s42003-025-07646-3.


Prolonged visual perceptual changes induced by short-term dyadic training: The roles of confidence and autistic traits in social learning.

Zhan B, Chen Y, Wang R, Jiang Y iScience. 2025; 28(2):111716.

PMID: 39898044 PMC: 11783384. DOI: 10.1016/j.isci.2024.111716.


Extended Cognitive Load Induces Fast Neural Responses Leading to Commission Errors.

Taddeini F, Avvenuti G, Vergani A, Carpaneto J, Setti F, Bergamo D eNeuro. 2025; 12(2).

PMID: 39870524 PMC: 11810548. DOI: 10.1523/ENEURO.0354-24.2024.


Broadscale dampening of uncertainty adjustment in the aging brain.

Kosciessa J, Mayr U, Lindenberger U, Garrett D Nat Commun. 2024; 15(1):10717.

PMID: 39715747 PMC: 11666723. DOI: 10.1038/s41467-024-55416-2.


Decomposing working memory subprocesses with the reference-back paradigm: Event-related potentials and age-related differences.

Gaal Z, Nagy B, Czigler I, Csizmadia P, Petro B, Kojouharova P PLoS One. 2024; 19(12):e0307351.

PMID: 39630653 PMC: 11616816. DOI: 10.1371/journal.pone.0307351.


References
1.
van Vugt M, Simen P, Nystrom L, Holmes P, Cohen J . EEG oscillations reveal neural correlates of evidence accumulation. Front Neurosci. 2012; 6:106. PMC: 3398314. DOI: 10.3389/fnins.2012.00106. View

2.
Heekeren H, Marrett S, Ungerleider L . The neural systems that mediate human perceptual decision making. Nat Rev Neurosci. 2008; 9(6):467-79. DOI: 10.1038/nrn2374. View

3.
Shadlen M, Newsome W . Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol. 2001; 86(4):1916-36. DOI: 10.1152/jn.2001.86.4.1916. View

4.
Nieuwenhuis S, Aston-Jones G, Cohen J . Decision making, the P3, and the locus coeruleus-norepinephrine system. Psychol Bull. 2005; 131(4):510-32. DOI: 10.1037/0033-2909.131.4.510. View

5.
Magliero A, Bashore T, Coles M, Donchin E . On the dependence of P300 latency on stimulus evaluation processes. Psychophysiology. 1984; 21(2):171-86. DOI: 10.1111/j.1469-8986.1984.tb00201.x. View