JINS Call for Papers

JINS Call for Papers

Special Issue 1: Artificial Intelligence in Neuropsychology

The integration of artificial intelligence (AI) into neuropsychological research and practice now seems imminent. Regardless of how this prospect is viewed, there is little question that neuropsychologists must be prepared to adapt to an AI-driven landscape across a variety of settings. To date, however, relatively few concrete changes in neuropsychological research and clinical practice can be attributed directly to AI adoption. This calm before the storm provides neuropsychologists with an opportunity to reflect on, and ultimately help shape, what roles AI tools play in the field.

This special issue of JINS invites researchers to submit papers on the topic of Artificial Intelligence in Neuropsychology. The issue will present cutting-edge empirical findings that demonstrate various applications of AI in the field with the goal of helping neuropsychologists better understand what AI is and whether it can be used effectively in neuropsychological research and clinical practice. Possible topics may include (but are not limited to) the use of AI in neuropsychological domains related to: testing and scoring; digital assessment and monitoring; multimodal data integration; diagnosis and report generation; digital phenotyping; neuroimaging; accessibility; supervision and training; and decision-making and ethics.

Co-Organizers: 

Michael L. Thomas, PhD Associate Editor, JINS Colorado State University Fort Collins, Colorado, USA
Nicolas Langer, PhD University of Zurich Zurich, Switzerland
Astri J. Lundervold, PhD University of Bergen Bergen, Norway

Please indicate in your cover letter that your submission is in response to the call for papers for the special issue on Artificial Intelligence in Neuropsychology. When submitting your manuscript, please select “Artificial Intelligence in Neuropsychology” in response to the Special Issue submission question.

Deadline for submission is May 15, 2026.
Special Issue 2: Dual Diagnoses and Neuropsychological Functioning in Pediatric Populations

This special issue invites submissions examining how dual diagnoses or co-occurring symptoms affect neuropsychological functioning in pediatric populations. The aim is to advance understanding of whether comorbid conditions—such as depression, anxiety, or sleep disturbances—contribute to additional neuropsychological impairments beyond those associated with neurodevelopmental disorders, acquired (traumatic) brain injuries, or other medical conditions affecting brain function.

We particularly welcome studies investigating the combined impact of multiple conditions (e.g., co-occurring neurodevelopmental and acquired brain disorders) and their effects on cognitive, emotional, and behavioral outcomes.

Despite the high prevalence of dual diagnoses, research often focuses on single conditions. This special issue seeks cutting-edge empirical studies that move beyond this approach to better reflect the complexity encountered in clinical assessment and treatment. Submissions using neuropsychological testing alongside neuroscience methods (e.g., fMRI, EEG, heart rate variability) are welcome.

Co-Organizers: 

Lin Sørensen
Associate Editor, JINS
University of Bergen
Bergen, Norway

Brian Kavanaugh
Brown University Health
Providence, Rhode Island, USA

Steinunn Adolfsdottir
University of Bergen
Bergen, Norway

Please indicate in your cover letter that your submission is in response to the call for papers for the special issue on Dual Diagnoses and Neuropsychological Functioning in Pediatric Populations. When submitting your manuscript, please select “Dual Diagnoses and Neuropsychological Functioning in Pediatric Populations” in response to the Special Issue submission question.

Deadline for submission is June 30, 2026.
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