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SELECT DATE2026-10-22
2026-10-226 VERIFIED RECORDS
JOURNALCommunications Biology · Nature Portfolio22 OCT 2026

Individualized morphometric-similarity deviations in autism linked to cortical hierarchy and microarchitecture

Makliya Mamat · Yiyong Chen · Lin Li

Normative modeling across 1,344 brains maps individualized ASD cortical deviations and links them to cortical gradients, transcriptomics and neurotransmitter-receptor density.

ASDIndividualized decodingMRI · molecular maps
ACCESS SOURCE PROJECT · LANGUAGE IMPAIRMENT
PREPRINTbioRxiv · Neuroscience22 OCT 2026

Individual Differences in Sustained Attention Tune Semantic Abstraction in Neural Encoding of Narratives

S. Gao · Y. C. Leong · M. D. Rosenberg

GPT-2 encoding models over audiobook fMRI show that sustained attention shifts neural representations toward compressed gist-level and predictive semantic formats.

Semantic encodingfMRI · narrativesBrain–LLM alignment
PREPRINTbioRxiv · Neuroscience22 OCT 2026

Frequency-Resolved Connectivity Graphs for EEG-Based Classification of Alzheimer and Frontotemporal Dementia

M. Radwan · A. Yazidi · P. G. Lind

A compact graph model uses frequency-resolved EEG connectivity to distinguish Alzheimer disease and frontotemporal dementia while exposing electrode- and band-level saliency.

DementiaEEGInterpretable graph model
ACCESS SOURCE PROJECT · LANGUAGE IMPAIRMENT
PREPRINTarXiv22 OCT 2026

DRAFT: Decoding and Reconstructing 3D Room Layouts from fMRI and Camera Trajectories

Chi-Wei Lee · An-Kai Chen · Cheng-Han Chiang · Yi-Chun Chang · Po-Chih Kuo

Decodes metric 3D room layouts from human fMRI and camera trajectories, testing how compact visual-cortical codes can guide machine reconstruction.

Semantic decodingfMRIBrain → AI
PREPRINTarXiv22 OCT 2026

EEG-Captioner: Grounding EEG-to-Language Generation in Fundamental Signal Properties

Leyuan Jin · Jiahao Mei · Yixuan Yuan · Shimeng Li · Mengyue Wu · Yue Ding

Introduces 160,781 EEG segments with signal-grounded language annotations and tests whether EEG-to-language models preserve spectral, spatial and temporal facts.

Neural languageEEGBrain → LLM
JOURNALNature Neuroscience22 OCT 2026

Network geometry shapes the transformation of task representations across the human cortex

Lakshman N. C. Chakravarthula · Takuya Ito · Alexandros Tzalavras · Michael W. Cole

Shows how intrinsic connectivity dimensionality compresses or expands task representations, offering a systems-level principle for flexible biological and artificial computation.

Computational neurosciencefMRIRepresentation