Dissecting Neural Contributions to Decision-Making: The Contribution of Brain Regions and Neuron Subtypes in Choice Prediction

The‬‭ prediction‬‭ of‬‭ an‬‭ animal's‬‭ choice‬‭ from‬‭ neural‬‭ activity‬‭ is‬‭ crucial‬‭ for‬‭ understanding‬ decision‐making‬‭ and‬‭ developing‬‭ brain–computer‬‭ interfaces.‬‭ We‬‭ here‬‭ applied‬‭ the‬‭ Steinmetz‬‭ et‬‭ al.‬‭ (2019)‬ Neuropixels‬‭ dataset‬‭ of‬‭ mice‬‭ trained‬‭ on‬‭ a‬‭ two‐alternative‬‭ visual‬‭ discrimination‬‭ on‬‭ a‬‭ steering‐wheel‬‭ task.‬‭ We‬ focused‬‭ on‬‭ five‬‭ regions‬‭ - spanning‬‭ hippocampal,‬‭ cingulate,‬‭ and‬‭ motor‬‭ areas:‬‭ dentate‬‭ gyrus‬‭ (DG),‬‭ CA3,‬ anterior‬‭ cingulate‬‭ area‬‭ (ACA),‬‭ primary‬‭ motor‬‭ cortex‬‭ (MOp)‬‭ and‬‭ secondary‬‭ motor‬‭ cortex‬‭ (MOs).‬‭ We‬‭ first‬ trained‬‭ time‐resolved,‬‭ cross‐validated‬‭ logistic‐regression‬‭ classifiers‬‭ within‬‭ sliding‬‭ 300‬‭ ms‬‭ windows‬‭ (50‬‭ ms‬ steps)‬‭ to‬‭ decode‬‭ both‬‭ the‬‭ direction‬‭ (left‬‭ vs.‬‭ right)‬‭ and‬‭ correctness‬‭ of‬‭ each‬‭ choice‬‭ from‬‭ population‬‭ spiking.‬ Accuracy‬‭ for‬‭ choice‬‭ decoding‬‭ rose‬‭ systematically‬‭ from‬‭ the‬‭ hippocampal‬‭ subfields‬‭ (median‬‭ ≈‬‭ 0.55–0.58)‬‭ to‬ ACA‬‭ (≈‬‭ 0.70)‬‭ to‬‭ motor‬‭ areas‬‭ (MOs/MOp‬‭ ≈‬‭ 0.80–0.88),‬‭ whereas‬‭ trial‬‭ outcome‬‭ decoding‬‭ was‬‭ uniformly‬ high‬‭ (≈‬‭ 0.75–0.85)‬‭ across‬‭ regions.‬‭ Onset‐latency‬‭ analysis‬‭ revealed‬‭ that‬‭ ACA‬‭ and‬‭ DG‬‭ were‬‭ the‬‭ only‬‭ ones‬ with‬‭ discrete,‬‭ post‐stimulus‬‭ choice‬‭ accuracy‬‭ increases‬‭ above‬‭ pre‐stimulus‬‭ baseline‬‭ +‬‭ 2‬‭ ×‬‭ SEM‬‭ (occurring‬ at‬‭ 245‬‭ ms‬‭ for‬‭ ACA‬‭ and‬‭ 295‬‭ ms‬‭ for‬‭ DG).‬‭ Cross‐temporal‬‭ generalization‬‭ revealed‬‭ that‬‭ the‬‭ hippocampus‬ contained‬‭ fleeting‬‭ choice‬‭ representations,‬‭ whereas‬‭ the‬‭ motor‬‭ cortex‬‭ exhibited‬‭ extended,‬‭ time-invariant‭ coding,‬‭ as‬‭ would‬‭ be‬‭ expected‬‭ from‬‭ downstream‬‭ motor‐planning‬‭ signals.‬‭ Finally,‬‭ contrasting‬‭ high‐‬‭ versus‬ low‐contrast‬‭ trials‬‭ as‬‭ a‬‭ proxy‬‭ for‬‭ task‬‭ difficulty,‬‭ we‬‭ found‬‭ that‬‭ stimulus‬‭ strength‬‭ modulates‬‭ the‬‭ timing‬‭ and reliability‬‭ of‬‭ choice‬‭ signals.‬‭ Specifically,‬‭ higher‬‭ contrast‬‭ stimuli‬‭ accelerates‬‭ and‬‭ stabilizes‬‭ decision‐related‬ activity‬‭ along‬‭ this‬‭ ACA→motor‬‭ axis.‬‭ Together,‬‭ these‬‭ results‬‭ describe‬‭ a‬‭ hierarchical,‬‭ contrast‐sensitive‬ flow‬‭ of‬‭ choice‬‭ information‬‭ from‬‭ medial‬‭ temporal‬‭ through‬‭ prefrontal‬‭ to‬‭ motor‬‭ circuits‬‭ during‬‭ perceptual‬ decisions.‬

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-14
DOI
https://doi.org/10.5281/zenodo.15126427
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dissecting Neural Contributions to Decision-Making: The Contribution of Brain Regions and Neuron Subtypes in Choice Prediction

Zenodo (CERN European Organization for Nuclear Research)
Plant Virus Research Studies
article

Dissecting Neural Contributions to Decision-Making: The Contribution of Brain Regions and Neuron Subtypes in Choice Prediction

article en

Abstract

The‬‭ prediction‬‭ of‬‭ an‬‭ animal's‬‭ choice‬‭ from‬‭ neural‬‭ activity‬‭ is‬‭ crucial‬‭ for‬‭ understanding‬ decision‐making‬‭ and‬‭ developing‬‭ brain–computer‬‭ interfaces.‬‭ We‬‭ here‬‭ applied‬‭ the‬‭ Steinmetz‬‭ et‬‭ al.‬‭ (2019)‬ Neuropixels‬‭ dataset‬‭ of‬‭ mice‬‭ trained‬‭ on‬‭ a‬‭ two‐alternative‬‭ visual‬‭ discrimination‬‭ on‬‭ a‬‭ steering‐wheel‬‭ task.‬‭ We‬ focused‬‭ on‬‭ five‬‭ regions‬‭ - spanning‬‭ hippocampal,‬‭ cingulate,‬‭ and‬‭ motor‬‭ areas:‬‭ dentate‬‭ gyrus‬‭ (DG),‬‭ CA3,‬ anterior‬‭ cingulate‬‭ area‬‭ (ACA),‬‭ primary‬‭ motor‬‭ cortex‬‭ (MOp)‬‭ and‬‭ secondary‬‭ motor‬‭ cortex‬‭ (MOs).‬‭ We‬‭ first‬ trained‬‭ time‐resolved,‬‭ cross‐validated‬‭ logistic‐regression‬‭ classifiers‬‭ within‬‭ sliding‬‭ 300‬‭ ms‬‭ windows‬‭ (50‬‭ ms‬ steps)‬‭ to‬‭ decode‬‭ both‬‭ the‬‭ direction‬‭ (left‬‭ vs.‬‭ right)‬‭ and‬‭ correctness‬‭ of‬‭ each‬‭ choice‬‭ from‬‭ population‬‭ spiking.‬ Accuracy‬‭ for‬‭ choice‬‭ decoding‬‭ rose‬‭ systematically‬‭ from‬‭ the‬‭ hippocampal‬‭ subfields‬‭ (median‬‭ ≈‬‭ 0.55–0.58)‬‭ to‬ ACA‬‭ (≈‬‭ 0.70)‬‭ to‬‭ motor‬‭ areas‬‭ (MOs/MOp‬‭ ≈‬‭ 0.80–0.88),‬‭ whereas‬‭ trial‬‭ outcome‬‭ decoding‬‭ was‬‭ uniformly‬ high‬‭ (≈‬‭ 0.75–0.85)‬‭ across‬‭ regions.‬‭ Onset‐latency‬‭ analysis‬‭ revealed‬‭ that‬‭ ACA‬‭ and‬‭ DG‬‭ were‬‭ the‬‭ only‬‭ ones‬ with‬‭ discrete,‬‭ post‐stimulus‬‭ choice‬‭ accuracy‬‭ increases‬‭ above‬‭ pre‐stimulus‬‭ baseline‬‭ +‬‭ 2‬‭ ×‬‭ SEM‬‭ (occurring‬ at‬‭ 245‬‭ ms‬‭ for‬‭ ACA‬‭ and‬‭ 295‬‭ ms‬‭ for‬‭ DG).‬‭ Cross‐temporal‬‭ generalization‬‭ revealed‬‭ that‬‭ the‬‭ hippocampus‬ contained‬‭ fleeting‬‭ choice‬‭ representations,‬‭ whereas‬‭ the‬‭ motor‬‭ cortex‬‭ exhibited‬‭ extended,‬‭ time-invariant‭ coding,‬‭ as‬‭ would‬‭ be‬‭ expected‬‭ from‬‭ downstream‬‭ motor‐planning‬‭ signals.‬‭ Finally,‬‭ contrasting‬‭ high‐‬‭ versus‬ low‐contrast‬‭ trials‬‭ as‬‭ a‬‭ proxy‬‭ for‬‭ task‬‭ difficulty,‬‭ we‬‭ found‬‭ that‬‭ stimulus‬‭ strength‬‭ modulates‬‭ the‬‭ timing‬‭ and reliability‬‭ of‬‭ choice‬‭ signals.‬‭ Specifically,‬‭ higher‬‭ contrast‬‭ stimuli‬‭ accelerates‬‭ and‬‭ stabilizes‬‭ decision‐related‬ activity‬‭ along‬‭ this‬‭ ACA→motor‬‭ axis.‬‭ Together,‬‭ these‬‭ results‬‭ describe‬‭ a‬‭ hierarchical,‬‭ contrast‐sensitive‬ flow‬‭ of‬‭ choice‬‭ information‬‭ from‬‭ medial‬‭ temporal‬‭ through‬‭ prefrontal‬‭ to‬‭ motor‬‭ circuits‬‭ during‬‭ perceptual‬ decisions.‬

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de Minas Gerais (BR), Tarbiat Modares University (IR), University of California, Los Angeles (US), Allen Institute (US), International Trachoma Initiative (US)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 67%
Plant Virus Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.