Basal Ganglia Activation induced during Typing Tasks. An fMRI study at 3T.

NeuroImage ◽  
1998 ◽  
Vol 7 (4) ◽  
pp. S993
Author(s):  
E. Kraft ◽  
AJ-W. Chen ◽  
KK. Kwong ◽  
BR. Rosen ◽  
M. Anderson ◽  
...  
Keyword(s):  
2011 ◽  
Vol 71 ◽  
pp. e141
Author(s):  
Dilshat Abla ◽  
Takeshi Asamizuya ◽  
Kenichi Ueno ◽  
Pei Sun ◽  
Kang Cheng ◽  
...  

2014 ◽  
Vol 125 (5) ◽  
pp. e39
Author(s):  
M. Bareš ◽  
I. Husárová ◽  
P. Filip ◽  
R. Mareček ◽  
M. Mikl ◽  
...  

2020 ◽  
Author(s):  
Leonardo Ceravolo ◽  
Sascha Frühholz ◽  
Jordan Pierce ◽  
Didier Grandjean ◽  
Julie Péron

AbstractUntil recently, brain networks underlying emotional voice prosody decoding and processing were focused on modulations in primary and secondary auditory, ventral frontal and prefrontal cortices, and the amygdala. Growing interest for a specific role of the basal ganglia and cerebellum was recently brought into the spotlight. In the present study, we aimed at characterizing the role of such subcortical brain regions in vocal emotion processing, at the level of both brain activation and functional and effective connectivity, using high resolution functional magnetic resonance imaging. Variance explained by low-level acoustic parameters (fundamental frequency, voice energy) was also modelled. Wholebrain data revealed expected contributions of the temporal and frontal cortices, basal ganglia and cerebellum to vocal emotion processing, while functional connectivity analyses highlighted correlations between basal ganglia and cerebellum, especially for angry voices. Seed-to-seed and seed-to-voxel effective connectivity revealed direct connections within the basal ganglia ̶ especially between the putamen and external globus pallidus ̶ and between the subthalamic nucleus and the cerebellum. Our results speak in favour of crucial contributions of the basal ganglia, especially the putamen, external globus pallidus and subthalamic nucleus, and several cerebellar lobules and nuclei for an efficient decoding of and response to vocal emotions.


2019 ◽  
Author(s):  
Joshua D. Hoddinott ◽  
Dirk Schuit ◽  
Jessica A. Grahn

AbstractAuditory working memory is often conceived of as a unitary capacity, with memory for different auditory materials (syllables, pitches, rhythms) thought to rely on similar neural mechanisms. One spontaneous behavior observed in working memory studies is ‘chunking’. For example, individuals often recount digit sequences in groups, or chunks, of 3 to 4 digits, and this chunking improves performance. Chunking may also operate in musical rhythm, with beats acting as chunk boundaries for tones in rhythmic sequences. Similar to chunking, beat-based structure in rhythms also improves performance. Thus, beat processing may rely on the same mechanisms that underlie chunking of verbal material. The current fMRI study examined whether beat perception is a type of chunking, measuring brain responses to chunked and unchunked letter sequences relative to beat-based and nonbeat-based rhythmic sequences. Participants completed a sequence discrimination task, and comparisons between stimulus encoding, maintenance, and discrimination were made for both rhythmic and verbal sequences. Overall, rhythm and verbal working memory networks overlapped substantially. When comparing rhythmic and verbal conditions, rhythms activated basal ganglia, supplementary motor area, and anterior insula, compared to letter strings, during encoding and discrimination. Letter strings compared to rhythms activated bilateral auditory cortex during encoding, and parietal cortex, precuneus, and middle frontal gyri during discrimination. Importantly, there was a significant interaction in the basal ganglia during encoding: activation for beat-based rhythms was greater than for nonbeat-based rhythms, but verbal chunked and unchunked conditions did not differ. The significant interaction indicates that beat perception is not simply a case of chunking, suggesting a dissociation between beat processing and grouping mechanisms that warrants further exploration.


NeuroImage ◽  
2001 ◽  
Vol 13 (6) ◽  
pp. 1286
Author(s):  
Yufeng Zang ◽  
Xuchu Weng ◽  
Fucang Jia ◽  
Enzhong Li ◽  
Richer Ivry

NeuroImage ◽  
2003 ◽  
Vol 19 (4) ◽  
pp. 1532-1544 ◽  
Author(s):  
A.M Ferrandez ◽  
L Hugueville ◽  
S Lehéricy ◽  
J.B Poline ◽  
C Marsault ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0139757
Author(s):  
Luqing Wei ◽  
Jiuquan Zhang ◽  
Zhiliang Long ◽  
Guo-Rong Wu ◽  
Xiaofei Hu ◽  
...  

NeuroImage ◽  
2009 ◽  
Vol 46 (3) ◽  
pp. 817-826 ◽  
Author(s):  
John Karageorgiou ◽  
Mary S. Dietrich ◽  
Evonne J. Charboneau ◽  
Neil D. Woodward ◽  
Jennifer U. Blackford ◽  
...  

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