Back

Same Sentences, Different Grammars, Different Brain Responses: An MEG study on Case and Agreement Encoding in Hindi and Nepali Split-Ergative Structures

Chacon, D. A.; Shrestha, S.; Dillon, B. W.; Bhatt, R.; Almeida, D.; Marantz, A.

2024-02-14 neuroscience
10.1101/2024.02.12.579942 bioRxiv
Show abstract

At first glance, the brains language network appears to be universal, but languages clearly differ. How does the brain adapt to the specific details of individual grammatical systems? Here, we present an MEG study on case and agreement in Hindi and Nepali. Both languages use split-ergative case systems. However, these systems interact with verb agreement differently - in Hindi, case features conspire to determine which noun phrase (NP) the verb agrees with (subject, object, or neither), but in Nepali the verb always agrees with the subject NP. We found that left inferior frontal and left anterior temporal regions are sensitive to case features in both languages. Across case configurations, these same brain areas in Hindi participants show different patterns of activity for sentences that require masculine vs. feminine marking on the verb, before the comprehenders encounter it. Additionally, the left temporoparietal junction in Hindi shows different activity for subject and object agreement configurations. Both findings are not observed in Nepali participants. We suggest that this brain response demonstrates a unique-to-Hindi selection of an agreement controller and pre-encoding of the verbs morphological features. This shows that brain activity reflects psycholinguistic processes that are intimately tied to grammatical features. HighlightsO_LIThe left inferior frontal lobe and the left anterior temporal lobe distinguish accusative objects versus bare object NPs in Hindi and Nepali, and pre-emptively encode gender agreement features in Hindi. C_LIO_LIThe left inferior parietal lobe shows a differential sensitivity to object-agreement and subject-agreement constructions in Hindi that is absent in Nepali C_LIO_LIMEG can reveal differences in neural activity that reflect specific requirements of different grammatical systems C_LI

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Neuropsychologia
77 papers in training set
Top 0.1%
10.1%
2
The Journal of Neuroscience
928 papers in training set
Top 1%
10.1%
3
NeuroImage
813 papers in training set
Top 1%
8.4%
4
Brain and Language
11 papers in training set
Top 0.1%
7.2%
5
Cerebral Cortex
357 papers in training set
Top 0.1%
6.4%
6
eneuro
389 papers in training set
Top 2%
4.8%
7
Journal of Cognitive Neuroscience
119 papers in training set
Top 0.3%
4.8%
50% of probability mass above
8
Human Brain Mapping
295 papers in training set
Top 2%
4.0%
9
Brain Structure and Function
83 papers in training set
Top 0.1%
3.6%
10
Neurobiology of Language
28 papers in training set
Top 0.1%
3.1%
11
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 23%
3.1%
12
Scientific Reports
3102 papers in training set
Top 47%
2.4%
13
PLOS ONE
4510 papers in training set
Top 48%
2.1%
14
Cerebral Cortex Communications
36 papers in training set
Top 0.1%
2.1%
15
eLife
5422 papers in training set
Top 36%
2.1%
16
Nature Communications
4913 papers in training set
Top 52%
1.7%
17
Communications Biology
886 papers in training set
Top 12%
1.3%
18
Journal of Neurophysiology
263 papers in training set
Top 0.5%
1.3%
19
Imaging Neuroscience
242 papers in training set
Top 3%
1.2%
20
European Journal of Neuroscience
168 papers in training set
Top 0.9%
1.1%
21
Frontiers in Human Neuroscience
67 papers in training set
Top 2%
1.1%
22
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 4%
0.9%
23
iScience
1063 papers in training set
Top 25%
0.9%
24
Frontiers in Neuroscience
223 papers in training set
Top 6%
0.9%
25
Cognition
44 papers in training set
Top 0.4%
0.7%
26
Neuroscience
88 papers in training set
Top 3%
0.7%
27
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.6%
0.7%
28
Developmental Science
15 papers in training set
Top 0.2%
0.7%