Research interests and Consultancy

Research specializing in Mental health, cognitive neuropsychology and neuroimaging. With published research on brain-related disorders including  affective disorders (bipolar disorder and major depressive disorder), psychosis, attention deficit hyperactivity disorder (ADHD), Autism Spectrum disorders (ASD), dyslexia, Alzheimer's disease, borderline personality disorder.

Our research has focused on integrating neuropsychological measures, cognitive measures, and neuroimaging techniques with genetic and developmental data, comprised of neurological patients, psychiatric patients, and control subjects. We have also examined the efficacy of treatments (Medical and psychological) for major mental health conditions. See our research Publications page for more details 

For more information on ongoing research, contact us.

Recent Research

A new study published in the International Journal of Psychology (2024) by Dr Jogia examines  Social anxiety, voice confrontation and voice recognition in a bilingual population. 

Dr Jogia edited a Frontiers in psychiatry special issue (2024) exploring Recent Developments in Neuroimaging in Mood Disorders.

Me, not-me: Voice note use predicts self-voice recognition and liking is the title of a new journal article Dr Jogia published in Computers in Human Behavior Reports (2024)

Dr. Jogia together with colleagues from the Al Jailia children's hospital Dubai and  the Mohammed Bin Rashid University Of Medicine and Health Sciences published the largest study in the region evaluating comorbidities among children diagnosed with ADHD.

Dr Jogia writes about the Use of Art Therapy in Alleviating Mental Health Symptoms in Refugees: A Literature Review. 

New teaching and pedagogy research  looks at Undergraduate teaching assistantships: exploring career readiness and relationality among Emirati students.

Published the first studies to assess Lamotrigine (LTG) monotherapy in bipolar disorder. The results of these studies provide evidence for the ‘normalisation’ effect LTG may have on key prefrontal regions associated with emotional self-regulation - akin to what has been observed with successful remission of depression.

Another study provided the first formal evidence of a disease-specific influence of the CACNA1C (rs1006737) genotype on brain function. This influence was found to be present in the ventral lateral prefrontal cortex (PFC) during emotional processing in bipolar patients carrying the risk allele, but absent in unaffected relatives.

A study published by Dr. Jogia was the first study to use pattern recognition (a form of machine learning) for the diagnostic classification of patients with bipolar disorder based on neuroanatomical data. Being able to identify and differentiate disorders based on neurobiology is regarded as the “Holy Grail” within psychiatric research; this project, therefore, was a significant advancement. This technique can also be used to investigate the efficacy of drug therapy on brain-related disorders.

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A full summary of Dr. Jogia's research can also be found on ResearchGate here or ORCID here.