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Cognitive modulation of local and callosal neural interactions in decision making.

Merchant H, Crowe DA, Fortes AF, Georgopoulos AP - Front Neurosci (2014)

Bottom Line: They were observed both within area 7a of the posterior parietal cortex and between symmetric 7a areas of the two hemispheres.Time lags for maximum interactions were longer for opposite- vs. same-hemisphere recordings, and lags for negative interactions were longer than for positive interactions in both recording sites.These findings underscore the involvement of dynamic neuronal interactions in cognitive processing within and across hemispheres.

View Article: PubMed Central - PubMed

Affiliation: Department of Behavioral and Cognitive Neurobiology, Instituto de Neurobiología, UNAM Querétaro, México.

ABSTRACT
Traditionally, the neurophysiological mechanisms of cognitive processing have been investigated at the single cell level. Here we show that the dynamic, millisecond-by-millisecond, interactions between neuronal events measured by local field potentials are modulated in an orderly fashion by key task variables of a space categorization task performed by monkeys. These interactions were stronger during periods of higher cognitive load and varied in sign (positive, negative). They were observed both within area 7a of the posterior parietal cortex and between symmetric 7a areas of the two hemispheres. Time lags for maximum interactions were longer for opposite- vs. same-hemisphere recordings, and lags for negative interactions were longer than for positive interactions in both recording sites. These findings underscore the involvement of dynamic neuronal interactions in cognitive processing within and across hemispheres. They also provide accurate estimates of lags in callosal interactions, very comparable to similar estimates of callosal conduction delays derived from neuroanatomical measurements (Caminiti et al., 2013).

No MeSH data available.


Related in: MedlinePlus

Mean CCmax per task period is plotted against its mean lag for same- and opposite-hemisphere recordings (see text for details).
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Figure 16: Mean CCmax per task period is plotted against its mean lag for same- and opposite-hemisphere recordings (see text for details).

Mentions: Both CCmax and its lag were modulated systematically by cognitive load, as it varied among task periods. CCmax was highest during the sample period for both same- (Figure 12) and opposite-hemisphere (Figure 13) recordings. In contrast, lag was shortest during the sample period for both recording sites (Figures 14, 15). ANOVAs revealed highly statistically effects of the period and recording site on CCmax (P < 0.001 for both, F-test) and on lag (P = 0.003 for period and P < 0.001 for recording site, F-test). Period × Recording Site interactions were not statistically significant for either CCmax (P = 0.094) or lag (P = 0.06). Finally, CCmax varied inversely with lag across the four periods tested. Figure 16 plots the mean CCmax against the mean lag for the two recording sites; the high negative correlations shown were statistically significant (P = 0.005 and 0.023 for same and opposite hemispheres, respectively).


Cognitive modulation of local and callosal neural interactions in decision making.

Merchant H, Crowe DA, Fortes AF, Georgopoulos AP - Front Neurosci (2014)

Mean CCmax per task period is plotted against its mean lag for same- and opposite-hemisphere recordings (see text for details).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4128092&req=5

Figure 16: Mean CCmax per task period is plotted against its mean lag for same- and opposite-hemisphere recordings (see text for details).
Mentions: Both CCmax and its lag were modulated systematically by cognitive load, as it varied among task periods. CCmax was highest during the sample period for both same- (Figure 12) and opposite-hemisphere (Figure 13) recordings. In contrast, lag was shortest during the sample period for both recording sites (Figures 14, 15). ANOVAs revealed highly statistically effects of the period and recording site on CCmax (P < 0.001 for both, F-test) and on lag (P = 0.003 for period and P < 0.001 for recording site, F-test). Period × Recording Site interactions were not statistically significant for either CCmax (P = 0.094) or lag (P = 0.06). Finally, CCmax varied inversely with lag across the four periods tested. Figure 16 plots the mean CCmax against the mean lag for the two recording sites; the high negative correlations shown were statistically significant (P = 0.005 and 0.023 for same and opposite hemispheres, respectively).

Bottom Line: They were observed both within area 7a of the posterior parietal cortex and between symmetric 7a areas of the two hemispheres.Time lags for maximum interactions were longer for opposite- vs. same-hemisphere recordings, and lags for negative interactions were longer than for positive interactions in both recording sites.These findings underscore the involvement of dynamic neuronal interactions in cognitive processing within and across hemispheres.

View Article: PubMed Central - PubMed

Affiliation: Department of Behavioral and Cognitive Neurobiology, Instituto de Neurobiología, UNAM Querétaro, México.

ABSTRACT
Traditionally, the neurophysiological mechanisms of cognitive processing have been investigated at the single cell level. Here we show that the dynamic, millisecond-by-millisecond, interactions between neuronal events measured by local field potentials are modulated in an orderly fashion by key task variables of a space categorization task performed by monkeys. These interactions were stronger during periods of higher cognitive load and varied in sign (positive, negative). They were observed both within area 7a of the posterior parietal cortex and between symmetric 7a areas of the two hemispheres. Time lags for maximum interactions were longer for opposite- vs. same-hemisphere recordings, and lags for negative interactions were longer than for positive interactions in both recording sites. These findings underscore the involvement of dynamic neuronal interactions in cognitive processing within and across hemispheres. They also provide accurate estimates of lags in callosal interactions, very comparable to similar estimates of callosal conduction delays derived from neuroanatomical measurements (Caminiti et al., 2013).

No MeSH data available.


Related in: MedlinePlus