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NANHA - Neurostimulation in Atypical Neurodevelopment: a Harmonized Atlas

Mondal, M.; Guha, C.; Suresh, S. A.; Vashishth, S.; Muralidharan, V.; Samal, A.

2026-09-18 neuroscience
10.64898/2026.09.12.751126 bioRxiv
Show abstract

Non-invasive brain stimulation (NIBS) has become an important tool for investigating brain function and exploring therapeutic intervention in neurodevelopmental disorders (NDDs). Nevertheless, relevant studies are scattered across different NDDs, stimulation modalities, target regions, and experimental designs, which makes systematic exploration and comparative analysis challenging. Therefore, we present NANHA, a manually curated, harmonized and freely accessible resource of published NIBS studies in NDDs. The database was constructed using systematic PubMed searches covering 22 NDDs and five NIBS modalities. NANHA captures participant characteristics, study design, stimulation purpose and parameters, targeted brain regions, behavioral, cognitive, and neurophysiological outcomes, safety information, and follow-up assessments, whenever available. The NANHA web platform (https://cb.imsc.res.in/nanha/) provides searchable and downloadable records, advanced filtering options, and interactive visualizations to support data exploration. Overall, NANHA is a standardized resource for evidence synthesis, comparative analyses, identification of research gaps, and the development of disease-specific stimulation protocols for NDDs.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
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Top 0.1%
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○ 144 papers in training set
Top 1%
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10
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● 5266 papers in training set
Top 38%
2.8%
50% of probability mass above
11
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12
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13
Nature Communications
○ 5641 papers in training set
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2.4%
14
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◐ 166 papers in training set
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1.9%
15
Translational Psychiatry
○ 260 papers in training set
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16
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17
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18
Frontiers in Psychiatry
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19
eLife
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Top 58%
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20
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1.1%
21
NeuroImage: Reports
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22
Science Advances
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Top 28%
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23
Journal of Neuroscience Methods
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Top 2%
0.9%
24
Brain Topography
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25
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26
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○ 34 papers in training set
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0.9%
27
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○ 41 papers in training set
Top 1%
0.6%
28
Journal of Neurology, Neurosurgery & Psychiatry
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Top 0.8%
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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.